Interest in Responsible Data Innovation and Design for Wellbeing.

EurAI Fellow, Spotify

Former President, Portuguese AI Association

AI*IA member

Director Laboratory of Intelligent Interactive Systems (Brazil), member AI*IA (Italy), Senior member SSAISB (UK), Senior member ACM (US), Honorary research fellow Univ. Aberdeen (UK)

Natural Language – AI*IA Member – Semantic search engine prototype study

PSI FLS Fuzzy Logik & Neuro GmbH is a Company within the PSI Software AG Group. I´m charaing the AI actitivities in the PSI Group.

AI*IA member

AI*IA member

Head of AI and Cognitive computing in Rabobank Compliance

Department of Economics

Expertise Statistical Machine Learning
Human Behavior modeling from data
Interactive, intelligent systems
Computational Social Sciences
ACM Fellow
IEEE Fellow
EuroAI Fellow
Academic of the Spanish Royal Academy of Engineering
Spokesperson and member of the Panel of Experts for the Spanish Government on AI and Big Data

PhD in Logic Programming. Creator of the Logtalk programming language.

As a kind of Consultant I´m used to identify technology solutions which improve my clients business outcome to automate or optimize operational services (not only technical). This starts from a technical analysis and ends with the conception, coordinating the implementation of the services, train the teams or to build new teams.

I am interested in opening up research possibilities for students/researchers into the use of machine learning in highly operations driven environments (in this case airline operations)

Senior Research Scientist, Analytics and Artificial Intelligence, Telenor

I created first italian conference about conversational computing. I manage now www.convcomp.it, the italian chatbot community blog. I’m interested in general in Conversational AI.

Company specialized in applied AI in language and image processing

Bachelor in Artificial Intelligence and Master degree in Artificial Intelligence with the specialisation in robotics.
Interests in computer vision.

Interests/areas of expertise: Cognitive systems; explainable AI, computational creativity.

Brain Computer Interfaces

AI in Digital Marketing, Data Management, Deep-Learning applications.

Constraint Programming Expert
Choco Solver co-administrator
ACP Doctoral Research Award
AFIA Doctoral Research Award

Huge interest in deep and machine learning. Professional experience in neuronal nets and interaction with mass data in the automotive sector. German Diplom degree in business informatics in Karlsruhe (HSKA).

KI is part of (single player) games all the time.
Neuronal networks and genetic programming are new ways to enhance games (and other applications).

NN, OLAP, GAME-KI, System Integration (big data integration)

Areas of interest: Practical AI with European Values!

Develop, trained, optimized and deployed a text mining system which recommends content based on technical interests for innovation managers, CEOs and technical staff in general.

Ph.D-Thesis: “Prediction of the energy yield of wind turbines using probalistic neural networks”, 2003

Deep learning for vision guided robotics. Double winner ot the Amazon Picking Challenge.

I work as a data scientist and research and development lead in a small startup that develops natural language processing tools. Other than that I am a scholar with interest in machine learning, theoretical physics, and mathematics.

As an EU citizen I am concerned not just with the EU falling behind in the field of AI, but also with the fact that policy makers don’t seem to know much about it at all. Through efforts like CLAIRE I hope that the EU can increase its competitive edge, and ensure that policy makers (and EU citizens in general) are educated on the increasing effects of AI on the future course of our continent.

José de Gea Fernández, born in 1976, received his M.Sc. in Electronics Engineering (2002) from the Technical University of Catalunya (UPC), Spain and his PhD in Robotics (2011) from the University of Bremen, Germany. Between 2003 and 2009 he was a Researcher at the Robotics Group of the University of Bremen. Since 2009 he is working at the Robotics Innovation Center (RIC) of DFKI (German Research Center for Artificial Intelligence) in Bremen. There, from 2011 to 2013 he acted as Deputy Head of the Department for “Mobility and Manipulation”. Currently, he is Senior Researcher and the Head of the Team “Robot Control”. He has co-authored over 40 scientific publications and has been involved in different German national (BMBF, DFG, BMWi, DLR) and European projects (EU, ESA) in several areas within his research in robotic manipulation. He led the DFKI team in the German project SemProm, which specified the software / hardware characteristics and designed the control strategies for the humanoid robot AILA. He acted as project leader of the DFKI contributions in the EU Project Robofoot and led the four-year project BesMan (Behaviors for Mobile Manipulation), funded by BMWi (German Federal Ministry of Economics and Technology) and DLR (German Space Agency). His main research area is on mobile manipulation, basically interested on control concepts to perform complex manipulation actions in unstructured and dynamically changing environments. He is also active in the area of safe human-robot collaboration, currently leading the European project FourByThree in which DFKI RIC develops new series-elastic actuators to create safer industrial robot manipulators. Moreover, he led the cooperation project iMRK with Volkswagen in which a novel safe and intuitive dual-arm robotic system was developed for human-robot collaboration in production scenarios. Currently, he leads the DFKI RIC contributions in the project HyBr-iT (funded by German Federal Ministry of Education and Research – BMBF) in the area of human-robot collaboration which includes important industrial participation.

Highly interested in AI

Dear Sir/Madam,
I would like to be added as a supporter of the CLAIRE vision document on behalf of TECNALIA Research & Innovation.
TECNALIA Research & Innovation (www.tecnalia.com) is a private, independent, non profit applied research centre of international excellence. Legally a Foundation, TECNLIA is the leading private and independent research and technology organisation in Spain and one of the largest in Europe. The main goal is to transform knowledge into GDP, meaning wealth to improve people’s quality of life by generating business opportunities for industry. TECNALIA is committed to generate major impacts in economic terms, by means of innovation and technological development, addressed by 7 business divisions, covering economic sectors of Energy, Industry, Transportation, Construction, Health and ICT. TECNALIA is a key agent in the ERA (European Research Area) and it also actively participates in the governing bodies of several European Technology Platforms and partners. TECNALIA is a member of EARTO and of EUROTECH, linking together the most important research centres in Europe. This research network represents an excellent opportunity to provide a deep knowledge of future trends in society and technology to the group on AI. TECNALIA has been granted over 250 patents and promoted more than 30 spin-off companies, which highlights the knowledge-to-application-oriented activity in which I have developed my research activity.
I have more than 10 years experience in research activities related to AI paradigms at TECNALIA, which includes working in both national and international (EU funded) projects and targeting different application sectors such as maritime, renewable energy, railway, agro-food, civil structures and machine-tool. My research activity is focused on data science, transforming the intelligent analysis of information in competitive advantage for society, from imagination and innovation to real, sustainable impact. I also have an interdisciplinary training in engineering and computing, with strong quantitative skills. The ability to work in a team, a strong work ethic and problem solving skills are some of my strengths. Therefore, I strongly believe I can contribute to the CLAIRE vision document.
Yours faithfully,
Dr. Alberto Diez-Olivan.

At DB Systel (digital partner of Deutsche Bahn) we are developing AI-enabled service (eg audio & video analytics, as well as predictive analytics) for travel & transport domaine.

Consulting with key customers to define the road map and market positioning for the AI/ML/DL products and services of E4 Computer Engineering. Identifying start-ups and innovative thinkers for potential partnerships and collaborations. Identifying, driving, developing & supporting opportunities for E4 Computer Engineering’s products and solutions in the AI/ML/DL space.

PhD in Physics
Practicing data scientist in healthcare
Interested in establishing open, safe, auditable and understandable AI for public good

n computer vis/*mM

Smrt.bio supports local economies with KeyBattleFramework to ignite economic opportunities to mobilize all talents and assets by winning a number of selected ‘key battles’. We digest all the data collected in the network in CockpitWork (big data analysis tool) to generate meaningful information for all stakeholders including policy makers in public sector. We develop new AI and ML techniques to serve policy makers in Europe.

I have a PhD in pure mathematics and have over a decade of experience in working with datasets over 1 Tb. I am now working on feature extraction from very small datasets, which is very different!

diploma in computer science. For more than 20 years working with data driven methods like AI.

Managin SME network on artificial intelligence for machine building and production

Applied data science with machine learning, neural networks, genetic algorithms

Distributed machine intelligence, multi-objective optimization, decision-making under uncertainty, flexible machine learning.

As a representative from Germanys biggest seed venture capital fund I am interested in supporting the AI research initiative (not only) from an ivestors perspective

We foster cooperations between arts and tech to create innovations that are more inspired and more human-centered – especially for disruptive technologies like AI, AR/VR, robotics and biohacking.

Our embassy’s honorary consul Roboy (roboy.org) is the world’s first artificially intelligent diplomat.

AI Expert @ Deutsche Bahn with a research background from RWTH Aachen University (Cybernetics Lab/Information Management in Mechanical Engineering)

member of ACM, GI, GOR

“Big Data is not the new oil: small and messy data, properly refined, is the new fuel.”

Technology entrepreneur with over 15 years of professional experience, software engineering, software architecture to project management, data management, product development, business operations, business strategy and entrepreneurship.

Currently Co-Founder and CTO at Onedot, an AI-powered data preparation company in Zürich, Switzerland. I head product development, technical recruiting, IT strategy and IT architecture from front to back and coach our exceptionally talented team to excel at what they do.

Currently working on Human-Agent Teaming

Background: computer science
Day to day: lead a team of data scientists and software engineers in the domain of mobility
Affiliations : IEEE, ACM, ITS, ERTICO

Engineer in industrial AI project, soon master’s student of machine learning.

nyris is a visual search engine, our tech is leading in terms of speed and scalability.

Working on practical AI solutions since 2010.
PhD student at DFKI working on Unsupervised Learning, Machine Teaching, Reinforcement Learning and model interpretability for Common Sense Understanding.

Semantic Technologies, Organizational Memory, Semantic Desktop, Context, Knowledge Work, Personal Information Management

As one of first graduate Engineer of Bionics in Slovenia looking forward to work with A.I. in industry as well in research for development of new production methods and environmental solutions in nanobionic sphere.

Machine Learning Nanodegree,
Interests in Deep Learning, Capsule Networks.

https://de.wikipedia.org/wiki/Ulrich_Kampffmeyer Curriculum, Publications, Awards, Fellowships

natural language processing, information retrieval

Areas of interest/expertise: Multi-Agent Systems, Ethical issues.

Cofounder, consultant of FINNOPT providing technology solutions in the area of computational intelligence to global companies. Also, docent of the Faculty of IT, University of Jyväskylä Finland

55 rue de Mareil 78100 SAINT GERMAIN EN LAYE FRANCE

IPCentury is an AI-based search and analysis tool for technical developments (patents). The huge (>10^7 nodes) AI-network is mapped (in a special way) on a Hilbert-space to effectively run the analysis.
Note ipcentury.eu for more.

deep learning
eHealth

Application of Explainable AI (XAI) and Artificial General Intelligence (AGI) in diverse fields

Neapoli, Madytou 34

Alfragide

Conducting research primarily on Machine Learning for Healthcare; Case-Based Reasoning; Introspective Reasoning.

De Boelelaan 1081
Room T3.18 – Sciences Building

HI,

my and our company would like to offer our team to develop AL, and all new technologies.

Inform me what we need to do thanks.
Alex
Transfer Money Technologies s.r.o.

Areas: very interested in Responsible AI (co-applicant of one such proposal), particularly in interface with legal aspects. Other strong areas of research: computational linguistic, grammatical inference for indigenous, under sourced languages, logic programming (one of the 15 founders), computational molecular biology, constraint based reasoning (CHR), knowledge bases, responsible AI.
Awards include: Chair of Excellence Award from the European Commission (2008-2011), for my work on Constraint Solving and Language Processing for Bioinformatics. See other awards at http://www.sfu.ca/people/veronica/cv.html#Awards

Head of Big Data Technology Germany

Roberto Gómez-Espinosa holds an Industrial Electronics and Automation Engineering Master Degree from Polytechnic University of Madrid and several specializations in artificial intelligence technologies: “Deep Learning Specialization by Andrew Ng (Stanford CS230 Course)”, “Deep Learning NanoDegree by Udacity”, “Self Driving Car Engineer by Udacity”, “Professional Program Certificate in Data Science by Microsoft”, “Machine Learning Specialization by the University of Washington,” “Big Data Specialization by University of California San Diego” , “Machine Learning by Stanford Online University”.

Interests: preference handling and explanation generation. Chair of a working group on advances in preference handling.

I’m analyzing the market potential of Quantum Computing, which has some strong affeliations with AI. I believe it is benificial for the EU to fund this industry more, since running behind means losing the race for a more resiliant society to other countries which are heavily investing.

Michelin Group CIO
Scientific council for INRIA and IRT System X
Lead scientist / dev for Knomee

I am intending to obtain my Master Degree in Data Science

AI is going to transform numerous industries, including communications and contact centers. I am involved and driving leading AI projects.

Previously, I have studied Artificial Intelligence Master Programme at Radboud University as a member of Radboud Scholarship Programme. During my master studies, I was working in FloodTags[1] as a part-time developer as well. Currently, I continue my studies as a PhD student at Radboud University and continue working as a computational linguist in the same company. Thus, I have experience in working with artificial intelligence technology both in academia and in private sector.

[1]: https://www.floodtags.com/

Samsung R&D Institut

Natural language processing

I do independent researches on integrating AI technology with Medical Systems.

Artificial Intelligence ethics; Artificial Intelligence in financial institutions; focus on employee surveillance. Coined #AIFearFactor. See paper at https://corporatesocialresponsibilityblog.com/2018/03/12/a-case-for-the-responsible-use-of-artificial-intelligence-in-global-financial-services/

NLP and speech technology

PhD in AI, Natural Language Processing.

Biological neural netwirk sims,HW implementations, accelerator chips

– Marie-Curie Individual Fellow for Experienced Researchers (completed, QMUL, London)

– Current position, lab leader in Singapore, but would like to be affiliated with Europe AI movement.

– Senior member IEEE

The ERCIS Omni-Channel Lab, at the University of Münster, is a partnership between ERCIS and Arvato CRM Solutions. The Lab combines the academic research and teaching activities of ERCIS and Arvato’s practical experience of delivering tech-enabled Omni-Channel CRM solutions from 110 global locations for many of the world’s best-known brands. Its areas of investigation focus around ‘Processes’, ‘Data’ and ‘Analytics’. The ERCIS network, is an international and inter-disciplinary network of universities and individual researchers in the field of Information Systems. Close collaboration with industry, in terms of an Advisory Board, ensures the practical relevance of ERCIS research and delivers inspiration for innovative research ideas. For more information, including publications, please go to https://omni-channel.ercis.org/

We use AI in our software suite for social listening (called Radarly and Search), developed by our HQ in Paris. Happy to showcase if helpful.

Berlin Germany. and SF, USA.
Acdmkrd@gmai.com
& cyrusfn@alum.mit.edu
Editor EIC: Apple Academic Series on Innovations Management.

Formally a postdoc from the University of Oxford, I am an AI specialist for robotics and computer vision. I would like to see CLAIRE and ELLIS become a reality.

Not only for automated driving we are involved in Safety and Qualification topics on AI.

I study how Visual Analytics, Machine Learning, Topological Data Analysis and Artificial Intelligence can support human understanding of complex phenomena and decision.

Chairman of the German Society for Information Technologies (ITG / VDE),
Member of the Supervisory Board of the VDE Group

Prof. Dr. Andreas Maier was born on 26th of November 1980 in Erlangen. He studied Computer Science, graduated in 2005, and received his PhD in 2009. From 2005 to 2009 he was working at the Pattern Recognition Lab at the Computer Science Department of the University of Erlangen-Nuremberg. His major research subject was medical signal processing in speech data. In this period, he developed the first online speech intelligibility assessment tool – PEAKS – that has been used to analyze over 4.000 patient and control subjects so far.
From 2009 to 2010, he started working on flat-panel C-arm CT as post-doctoral fellow at the Radiological Sciences Laboratory in the Department of Radiology at the Stanford University. From 2011 to 2012 he joined Siemens Healthcare as innovation project manager and was responsible for reconstruction topics in the Angiography and X-ray business unit.
In 2012, he returned the University of Erlangen-Nuremberg as head of the Medical Reconstruction Group at the Pattern Recognition lab. In 2015 he became professor and head of the Pattern Recognition Lab.

Soner Emec received his Dr.-Ing. degree from Berlin Institute of Technology for his work on scalable knowledge discovery in streaming sensor data for fault recognition in machining processes, Germany, in 2016. He studied 2009 Engineering Science (Dipl-Ing. ) with a focus on mechatronics at the Berlin Institute of Technology and system dynamics in Tomsk Polytechnic University, Russia. He works as a Research Engineer in the Department of Industrial Automation Technology at the production technology center of Berlin, is responsible for the engineering faculty coordination and the launch of the Bachelor-Master degree program Mechatronic Systems Engineering at the Turkish-German University in Istanbul.

He has experience in the areas of sustainable manufacturing, industrial automation and information technologies, and software development. His current research work is the sustainable integration of artificial intelligence techniques in industrial automation to improv scalable condition monitoring, predictive fault detection and online inspection in manufacturing. His research interests focus on the scalable and real-time pattern recognition on industry process data streams using machine learning as an enabler for advanced services and sustainable value creation.

In the past years, Soner Emec has worked on the cross-European project “Knowledge, Awareness and Prediction of Man, Machine, Material, and Method in Manufacturing” (KAP, WP1, WP10) funded as part of the Seventh Framework Programme of the EU. KAP was a multidisciplinary, industry-supported research initiative with 14 global partners from 8 EU countries, which aimed at developing the next generation ICT technology framework and manufacturing standards to ensure the efficient use of resources through the effective coordination of man, machine, material, and method by an increased intelligence across the automation pyramid.

I am involved in different AI standardization initiatives, e.g. ISO/IEC JTC 1 SC 42, ITU-T FG ML for 5G, etc

Graduate in Business Informatics, Strategic position within an international company

* Kernels
* SVM
* RensorFlow
* DeepLearning
* Statistical Inference

Representing start-up involvement in the design of regulatory enviornment

Areas of interest:
-Machine Learning
-Quantum Computing
-Quantum Computing for Machine Learning

TrustIn.AI develops products to enable interpretable, transparent and fair AI solutions for organizations. We are happy to become part of the CLAIRE initiative!

network management, innovation management, consulting, project management, www.stahl4null.de, networking, cluster management, subsidies, grants, subventions, horizon 2020, ki, hpc, security, industry, sme, small and mid size companies

The ERCIS Omni-Channel Lab, at the University of Münster, is a partnership between ERCIS and Arvato CRM Solutions. The Lab combines the academic research and teaching activities of ERCIS and Arvato’s practical experience of delivering tech-enabled Omni-Channel CRM solutions from 110 global locations for many of the world’s best-known brands. Its areas of investigation focus around ‘Processes’, ‘Data’ and ‘Analytics’. The ERCIS network, is an international and inter-disciplinary network of universities and individual researchers in the field of Information Systems. Close collaboration with industry, in terms of an Advisory Board, ensures the practical relevance of ERCIS research and delivers inspiration for innovative research ideas. For more information, including publications, please go to https://omni-channel.ercis.org/

Chartered IT Professional (UK)
Professional Member, ACM
Inventor, multiple patents pending (1 granted)
Involvement in AI from a biologically-inspired perspective

10,000 Data Scientists for Europe
Our mission is finding and empowering new talent as rapidly as possible: 10,000 Data Scientists and Machine Learners capable of designing and producing the data-driven products of the 21st century.

Norrmejerier head office and main produktion dairy facility is located in Swedens brand new testing area of 5G, the city of Umea. This will certainly be an opportunity for robotics in industry and society. I am quite concerned about ethics and practical use. My main experience lies in marketing and relevant systems, some front line. I prefer my LinkedIn as a contact way for peers, but have sadly no time for sellers I did not contact first.

I’m looking for an education path in the field of AI. I did some online certificates at Udacity and Coursera already, but I would like to learn more (studies/research) and get things into practice (job/consulting).

We deal with the research and development of medical simulators and the creation of extensive computer models of the human organism (see http://www.physiomodel.org and http://www.physiolibrary.org).

We work closely with the academic sphere.

CEO and CreativeConnections s.r.o. owner, Jiří Kofránek, is an Associate Professor at the Czech Technical University and also of Charles University.

Jiří Kofránek is the head of the Laboratory of Biocybernetics, Institute of Pathological Physiology, 1st Medical Faculty, Charles University. U Nemocnice 5, 128 53 Praha 2

Keynote speaker, about own experiences of applications of A.I. ( machine learning, deep learning) for industries such as manufacturing, space, utilities/energy, crime fighting/police. Works operative as an IT consultant: data scientist, solution architect

AI expert

MSc in Artificial Intelligence
PhD in Optimisation and Machine Learning
3 years of postgraduate experience at Heriot-Watt University
Working in the area of AI/Machine Learning/Data analysis focused on healthcare (Neurodegenerative diseases)
More than 15 publications in reputed journals and conferences

At the Moment doing projects in cv centered around car images. Im currently interested in Reinforcement learning and possibilties of putting RL into production.

– also Director at FZI Research Center for Information Technology
– former president of GESIS – Leibniz Institute for Social Sciences

By working closely with scientists and leading thinkers from multi-disciplines, the founders of the AGI Sentinel Initiative (AGISI.org) believe that we can help humanity to better understand intelligence. If human beings have a better understanding of intelligence, it will not only help to build artificial intelligent machines, but it will also help to improve individual’s situation awareness, decision making and values, and ultimately greatly improve people’s knowledge of each other and our world, and thereby improve the quality of life for society overall.

I am a PhD Student of Deep Learning at Ca’ Foscari University of Venice, while currently I am a visiting scholar at ZHAW University at Switzerland.

Expert in autonomous vehicles – aerial and ground vehicles.
Strong expertise in multi agent systems.
Leading a team of experts to create AI that will one day have intuition and common sense.

Christos Rodosthenous is a Ph.D. candidate at the Open University of Cyprus (OUC). His research interests include Artificial Intelligence, Commonsense Knowledge Acquisition and reasoning, Story Understanding, Crowdsourcing, eLearning and new technologies and Trends in distance education.

Currently, he works at the eLearning and Digital Content Management Sector at the Open University of Cyprus. He is involved in numerous National and European projects involving eLearning technologies, distance education, Web Portals, Digital repositories, Open Access and Open Data initiatives.

He is an advocate of Free and Open source software and actively participates in many actions for promoting its usage in the public sector.

I am self taught ML engineer, Have good understanding in ML, DL and NLP areas. Interested to explores new research areas and ready to collaborate in research.

Areas of interest include high dimensional optimisation, bayesian optimisation and neural architecture search.

https://github.com/ferenc-acs

MSc in Computer Science and MSc in Artificial Intelligence.

Worked in AI research for natural language understanding for various different private companies where I co-authored research publications. I am also the inventor of several patents for AI-based language understanding technology.

I have a special interest in bio-inspired algorithms and reinforcement-learning.

Writing a report on dynamics of global AI research and the definition of AI.

AI expert; SLAIS member

Quantum cryptography.

Startup

We are the Nordic Leading AI company. I am overlooking all AI strategic and executive activities at Tieto – top 100 IT company (according to reuters). 15000 global employees.

I have a diverse academic and business background. I also a Data Scientist in my company. Trying to combine my expertise and AI knowledge to widen the applications of AI as much as possible.

As Turkcell, we are leader operator in Turkey and we develop different kind of AI solutions. If we do together something unique, we would like to give all kind of support

I’m a researcher and entrepreneur. My startup focuses on building AI models for analysis and prediction of physiological and psychological stress. I have a PhD in Computer Science (Pisa) and currently pursuing a DPhil in Engineering Sciences (Oxford)

The key to successful customer service automation is understanding, channeling and contextually serving your customers, aided by best of breed AI. For almost 20 years I help organizations create better online experiences by implementing relevant customer support, e-commerce and self-service solutions.

I have been leading ML teams at Yahoo and recently at Gamesys in London. I have the passion for AI and especially in the area of CNN.

Academic research background through a Bachelors in Computer Science and Telecommunication Engineering, Masters and Doctoral research work in Artificial Intelligence, Neuroscience, and Sociobiology.

Passionate about pushing the boundaries of AI, model optimisation, reducing training times and improving accuracy in multi-model AI approaches. Contributing to scalability of AI infrastructures.

Fellowships include Chartered Management Institute and British Computer Society. Recently won the Wealth & Finance International award for Innovation in AI and Blockchain.

Retired CTO of IBM Global Technology Services, Honorary Professor at the University of Stuttgart, experience in applying AI to IT Service Management

Dr. Di Rosa is currently Chief Technology Officer at App2Check, company dedicated to design and develop AI & NLP based software products, having as applications Customer Experience Analytics and Chatbots. He has a strong background in Artificial Intelligence, on both the Symbolic approaches to AI, more specifically in Automated Reasoning on which he wrote his PhD thesis, and on the ones based to Machine Learning and sub-symbolic representations. He is co-author of 18 scientific papers published by international peer-reviewed international journals/conferences/workshops/doctoral consortiums. Recently, he is more focused on Sentiment Analysis, Text Classification and Machine Learning. Recently, in this latter field, he was speaker at the 2017 Sentiment Analysis Symposium in New York, in the board of the ESWC-17 Challenge on Semantic Sentiment Analysis and won the irony detection task at Evalita SentiPolc 2016. He was speaker and reviewer in many international conferences and workshops. He works since 2004 on chatbot design and development and was awarded in 2005 by Confindustria Liguria for his chatbot project involving the use of Latent Semantic Analysis for man-machine dialogue. He has a strong interest in building connections between academy and industry, believing that a strong synergy can lead to an important positive impact in both worlds.

H=26

Expert in the application of Machine Learning within General Insurance.

Interested in the application of AI to Insurance and Actuarial domains.

unbabel.org

See “Introduction to the SP Theory of Intelligence” (PDF, bit.ly/2ELq0Jq).

Fusion of Semantics & ML

AI researcher that has been working with AI for 20 years both in academia and industry with a PhD from Linköping University. Worked at Spotify for many years making use of big data and machine learning techniques to optimize user experience. Now working with the latest and greatest AI techniques at Peltarion as Principal Data Scientist, where we have the ambitious goal of making deep learning and the latest AI techniques available for all, not just the large technology organizations. Also founder of Agent Central AB, AI adviser for the Swedish government, member of the European AI Alliance, founder of the Machine Learning Stockholm meetup group, and member of several advisory boards.

Alte Uhldinger Str.5B

In addition to my work in AI and IoT, I am also associated with UPM(University of Madrid) and the Harvard Kennedy school for future of AI. My current research work in AI relates to Affective Computing. I have a Bachelors in Engineering(Uni Bombay); Masters in Information systems(Uni Salford); PhD(ongoing – TBC 2019) in AI with Uni Madrid

Fellow IEEE
Past President IEEE-SMC
Past President NAFIPS

Over the last 10 years, a team of experts from the Olympic Movement and the mega-events industry has followed the rise of e-games and new sports and investigated how technology impacts the future of sports, competitions and disciplines. A revolution is under way and the whole ecosystem is changing: new stakeholders, new business model, new expectations from the spectators and the competitors.

The time has come to master these disruptions and technology-based innovation in order to align completely with the ways sport and international competitions are promoted, played, sold and consumed.

FIFA is the international governing body for football, the International Olympic Committee for the Olympics. We set Futurous, the international committee of innovation. This new Committee provides a unique standpoint to influence and to develop the events of the Future… bringing business, entertainment and education opportunities.

Futurous takes the responsibility of
1. Staging a global event, which will be held every odd year, in different countries and territories;
2. Engaging with sponsors, social media, broadcasters, sport and gaming entities and venture capitalists to syndicate both the financing and the resources and to promote innovation;
3. Setting and operating a comprehensive technology platform, to support the outreach, the communication and the operations of the global event,
4. Creating a global database to increase the stakeholders’ experience and return on investments.

It also stimulated our willingness to Inspire, Invent, Include, Improve & Impact. Bringing education programmes, TEDx talks and hackathons, onto the field of play between each session of the competitions.

Observing and understanding the growing hunger for data and information, simply delivered everywhere on earth to everyone on-line, we deliberately designed the complete package: inclusive sports, education and a high degree of entertainment and ‘fun’. Fans and spectators wanted “an experience”, we wanted to bring ‘education and food for thought’.

Futurous articulate the competitions in 5 Galaxies articulated around disrupting technologies:
1. IT, AI, IoT: eSports
2. Mobility technologies: drones, sustainable vehicles, autonomy
3. Haptics, sensors and mechanics : Robotics and Exoskeleton
4. AI, VR: Virtual and Mixed realities environments
5. Sports 2.0 : Classical sports revisited through technology and innovation (Artificial wave Surfing, kinetic wall climbing, wind tunnel dancing, …)

Pioneer in wireless, online preventive heart monitoring.
According to IPO of the Hague our patent of the ultimate health app is unique worldwide and is based on a multi layered structure of learning algorithms in an artificial neural network for monitoring your EHR data and alarming in case of reaching predefined tunnel values.

More than 15 years at AI área
Interested in cognitive AI, pattern recognition, and Ethics in AI

Aerospace Engineer, Universität Stuttgart, Germany
PhD TU Hamburg Harburg, Germany:
AI Based Process Control and Failure Detection
Job: Airbus Defence and Space, Future Programs, Friedrichshafen, Germany,
Honorary Professor Universität Stuttgart for Satellite Systems Engineering and Operations,
Aere of interest: Satellite On-Board/On-Ground AI based Image Processing

AI Influencer | Top Digital Leader | Co-Founder SwissCognitive – The Global AI Hub | CIO CDO | Keynote Speaker | CIO of Year | Skipper

Domestication of vannamei shrimp. Since 1983.
First pure aquaculture play on US stock markets.
With USFDA development of NASA technology for seafood.
Looking to robotize Steamans service and implement AI front-of-house directly for end consumers at brand concept popup shrimptailbar

Home Marketing Ltd
Beechwood House, Beechwoods Estate, Elmete Lane

Jos is the VP of Applied AI at Faktion, an AI engineering company that works for some of the biggest and most innovative companies in the world. Originally a mathematician, he has lead Machine Learning and AI implementation all over the world. Over the last years, Jos lead the team that was responsible for developing the NLP models that power Chatlayer.ai, the most popular enterprise-ready chatbot platform in Europe.

Besides chatbots, Jos has created NLP models for companies like Hyperloop Transportation Technologies and has developed Pearl, the first AI Jury Member in the world. Jos was also responsible for the team that won first place in the Data Impact Award for their work on predicting suicide risk from analyzing social media data of teenagers, and the team that won the inQbet Hackathon by creating an AI Lab assistant for P&G.

Voted Best Keynote award on Data Innovation Summit 2017, regular speaker at Machine Learning/AI conferences including ML Conference Munich, AI Congress London, AI Norway, AI4Business summit, Chatbot Summit Berlin, Big Data Toronto, NTBC, ETIS, Data Innovation Summit, Luxembourg Analytics Summit, Screenforce Day 2018 Helsinki, SAS Global Forum, SAS Benelux Forum, meetups and guest lectures at University of Waterloo, University of Ghent, VUB, ULB, Schulich business school, …

Bonseyes marketplace for artificial intelligence

former President WW Apple Computer

Natural language processing; deep learning; explainable AI.

Areas of expertise: Planning, Scheduling, Temporal reasoning, Constraint Programming

since 2003: Theoretical Computer Science Teaching at several Universities A.S. in Berlin and Brandenburg and head of AIT Simulation Department of ssl.eu GmbH.
Before, leading scientist in: Leibniz Institute of Semiconductor Physics, Fraunhofer Association Institute FOKUS, Helmholtz Association of Nuclear Research

Current positions:

– Head of AKII Microlab (Artificial Intelligence and Virtual Reality) at the AUDI Konfuzius Institute Ingolstadt, Ingolstadt, Germany

– Lecturer in Artificial Intelligence and Machine Learning at the Technical University of Ingolstadt, Germany

– Senior Research Engineer in Online Machine Learning and Big Data, Huawei European Research Center, Munich, Germany

Awards:

– Awarded a Bavarian Elite Research PhD Scholarship (4 years funding, ~120.000EUR) by the Bavarian Ministry of Sciences, Research and the Arts.
– Awarded a Leonhard Lorenz-Stiftung Fellowship (7000EUR) for novel ideas in neurotechnologies research.
– Awarded Research Fellowship (2500EUR) by the Science Network of Biomimetic and Biohybrid Systems for leading a workgroup at the Telluride Neuromorphic Cognition Engineering Workshop, USA.
– Awarded Research Fellowship (2500EUR) by the Science Network of Biomimetic and Biohybrid Systems for leading a workgroup at the CapoCaccia Cognitive Neuromorphic Engineering Workshop, Italy.
– Awarded a BayIntAn Fellowship (10000EUR) by the Bavarian Research Alliance for establishing a cooperation on neurorobotics with University of Waterloo, Canada and the University of Manchester, UK.
– Awarded a BayIntAn Fellowship (5000 EUR) by the Bavarian Research Alliance for establishing a cooperation on the development of a platform for Neuromorphic sensorimotor adaptation with ETH Zurich and University of California, Irvine.

A lot of direct industry colleagues in AI

Artificial Intelligence in Industrial Applications

Model based testing

PhD, CEO

Professor, Dept. of Computer Science, NTNU
Head, Norwegian Open AI Lab, NTNU
Adjunct Faculty, Dept. of Electrical and Computer Engineering, CMU

I am working as a professor of Probability within the College of Mathematics of the University of Verona (Department of Computer Sience) and I am one of the co-funder and the chief-scientist of HPA (High Performance Analytics), a company (and an official spinoff of the University of Verona) focused on forecasting models development.

5G, Self-Organizing Networks (SON), Network management,
PhD.
Awarded half a million euro funding from BusinessFinland for TUTL project on 5G Cognitive Self-organizing Networks

Also a signatory to ELLIS.
I like the idea of a unified approach between ELLIS and CLAIRE.

MSc. in Cognitive Artificial Intelligence, professional with senior experience in Artifical Intelligence, specialised in explicit knowledge representation, Business Rule Management, business architecture and eXplainable AI

My main AI areas of research are SAT, constraint programming, evolutionary computation, reinforcement learning, deep learning.

Area of interest/expertise: Open data, transparancy, public administration.

Ian Marsh, Ph.D. working within telecommunications and traffic flow.

Ian has worked with deep neural networks, in particular LSTMs for traffic flow and clustering algorithms for IP traffic.

I am an entrepreneur, inventor of an innovative new sound theory called Endpoint Mixing. Deep Learning practitioner, and teaching assistance of a Stanford University online Machine Learning training course, instructor is Prof. Andrew Ng

Artificiële Intelligentie & Recht is a niche law firm focussing on technological game changers such as AI, Machine Learning, Robotica, Big Data, VR, Nano-Engineering and Cognitive Computing.

Our lawyers specialize in the Farmaceutical, eHealth, Food & Feed, Media, Entertainment & Art industries, providing proactive lawyering services covering issues like algorithmic accountability, AI Impact Assesments, fundamental rights, privacy requirements for the GDPR in big data, multi-cloud, distributed ledger and deep learning implementations, product safety standards, traceability, Good Manufacturing Practices (GMP) and maximization of intellectual property portfolio for both tech startups and globally operating multinationals.

We are based in Amsterdam. Our website: https://airecht.nl/.

We wish to exchange views on legal and ethical frameworks for AI, smart robotics and Internet of Things devices, with a focus on medtech, European foodlaw, entertainmentlaw and intellectual property.

Deep Learning
Machine Learning
Digital Forensics

Research for industrial AI solutions
Automated driving
Sensor fusion projects

area of interest/expertise : reinforcement learning applied to autonomous driving

Interests:
1. Cross research on Deep Learning and Symbolic/Logical/Causal Reasoning (i.e. Intuition Driven Reasoning), to achieve human level AI
2. Bridge the Gap between the research on AI and the Business

GENCI is providing in France of a converged HPC / AI research infrastructure for the scaling of AI workflows and tools, the closer integration between HPC, numerical simulation, HPDA and AI

Actively engaged in both direct research on developing AI, using AI for scientific understanding, developing policy and regulation for AI and AI ethics.

High Level Expert on IA for Italian Ministry of Economic Development

Expert in Riemannian Geometry Machine Learning for Brain-Computer Interface

I graduated at the Università della Calabria majoring in Answer Set Programming. I am currently working at the BBC as a Senior Software Engineer. I have a keen interest in AI and I’d like to be involved.

Have been intrested for a while in the deep learning and Now it can be used to solve real world problems. I got a year of experience in basic Java with js ws ajax json and sql. It helpped to get started into programmer frame. I have used tesorflow on my own time . I would like the opportunity to learn or help in any way.

Computer Science
Semantic web
Programming Languages
Databases

Graduated at University Of Calabria (UNICAL) in Computer Engineering with a master’s degree thesis aimed on the realization of a deep learning based computer vision system to detect threats in video surveillance scenarios and many years of expertise in tech industry as software engineer with various projects in mobile computing and algorithmic trading fields. I have also published IAT a computer vision mobile App developed synergically with some members of Eyes-Free a web community of people with visual impairments, to meet also their needs.

PhD on Intelligent Control applied to industrial applications. Currently interested on real life applications of AI.

Soon we will release (mid feb) nederland.ai for midsize companies with AI Demo, App’s and lot’s of information.

embedded Linux expert, focusing on software and hardware ground work for AI products

Main background in Mathematics and Computer Sciences; Is a research member of IPCA 2Ai – Artificial Intelligence Laboratory, heads the Master’s Degree in Computer Engineering and teaches subjects of Computer Sciences, Software Engineering, Systems Integration and Architectures in the Hight School of Technology at the Polytechnic Institute of Cavado (IPCA). Architectures and Systems Integration, Cloud Computing, Artificial Intelligence and Data Visualization are his main research areas.

Senior Robotics Expert, leading a group of researchers working on “Dexterous Manipulation and Planning”. Academic and industrial experience in different robotics areas (mechatronic development, planning and control) on multiple applications (industrial, service and humanoid robots). Experience in transferring knowledge and solving use cases in industrial companies.

StartUp mit 2 ehemalig leitenden Entwicklern von Amazon Alexa. BMBF und Horizont2020 gefördert. Seal of excelence. Kunden und Partner wie Telekom und Volkswagen. Eigene Technologien in:
Spracherkennung, Sprachbiometrie, Sprachklassifikation, Natural Language Processing/Understanding

Areas of interest: Applications of AI (industry, service sector, mining, construction, etc.), planning/scheduling, machine learning. Possible colaboration in international projects (TECNALIA).

I am a degree digital artist with 12+ years in media, advertising and digital-domains, I am consultant for consciousness development, integral leadership and therapist in transpersonal psychology. I have founded basis7.net / digital philosophy and UltraVision Consulting for holistic consciousness development. I am a speaker, consultant, training supervisor for topics ranging from Digital Leadership, Next-Level-Thinking and Future Mind-Sets to the Mastery of Life, personal transformation and essentials of holistic living. As a licensed healing practitioner, Integral Associate Coach, transpersonal therapist, and mentor I support bright minds, future leaders, conscious creators and entrepreneurs on their journey towards potential and realization.

Egroup is being member in both EIT Digital and EIT Health (www.eitdigital.eu www.eithealth.eu) having over 25 years in advanced software tech (founder from early 90s in NLP) running several applied AI industry projects in Fintech, Healtcare (key project is health DataLake www.innohealth.eu)
Egroup also working on next gen ai, reasoning type of ai, in coop with Russian, Chinese, us and EU scientist. Egroup has Central European roots but active in Hk,China and Eu, while links to US partnerships as well.

Dear Sir / Madam,
At Elsevier I am responsible for our technology partnerships and managing our tech hubs. As such I am very much involved in our participation in the AI community. I personally also have a keen interest in securing a positive and bright future in technology which of course means making sure we augment human intelligence through AI, build a robust ecosystem that can be trusted and is fair and transparent.
We have done research into AI and what AI actually means by looking at research in the subject. The report shows research related trends for China, EU and the USA. Including mobility of researchers. I think this type of information can help this group.
With kind regards, Iris

Control and audit of information systems is becoming increasingly important, due to the competitive impact of information technology, the amount of resources expended by IT departments, the criticality of IS for the general functioning of our society and the corroboration of information as the organization’s most valuable asset. Information Systems – and the technology that supports them – must be audited in order to improve their benefits and allow organizations to manage the risks associated with them.
According to this statement, a good knowledge and experience concerning Information Systems process and Security matters – as well as a through passion for communication and control in the machines and human beings – took me to participate in this call for supporters.

Doctorat en Informatique, Intelligence Artificielle
Bourse Marie-Curie AFR
vice-Chair, a founding member and a promoter of the IEEE Student Branch Lille
Healthcare Startup of the Year Award
Luxembourg Healthcare Awards
2016
Marie Curie- AFR Fellowship
European Commission under the Marie-Curie COFUND scheme
2010
INRIA Explorateur Grant
INRIA, France
2008
Guest researcher at CWI, Amsterdam, the Netherlands

Best paper award
GECCO (Genetic and Evolutionary Computation Conference)
2007
http://www.sigevo.org/gecco-2007/best-papers.html

Via Selice 66/A

…zur Zeit im BITKOM / DFKI Zertifikatslehrgang zum KI Manager…

Qualifications:
Undergrad in Marketing and Business Management (Oxford Brookes),
Master of Science in Data Science (Northwestern University),
CFA (Chartered Financial Analyst),
PRM (Professional Risk Manager)

Expertise:
Establishment and management of Data Science/Machine Learning/AI laboratories and operations.

I am the founder of computational chemistry company Culgi and am interested in the application of AI to the chemical industry.

PhD-student who focuses at identifying the requirements for socially-aware, explainable AI.

Combining artificial intelligence (AI) with knowledge management (KM)

siehe meine Profile

also Vice Chairman of the Open Source Business Association e.V. the leading Open Source Organisation in Germany. We aim for open, sustainable, human centric Digitalization.
further Member of Nationaler IT Gipfel Deutschland Fokusgruppe Digitale Souveranität

Department of Computer Science,
Royal Holloway, University of London

Please Check my online Profile .

Ich habe mit einem Online-Kurs für maschinelles Lernen angefangen und informiere und entwickle mich im Moment in Richtung Deep Learning und Reinforcement Learning mit Hilfe eines eigenen Projektes.

Interested in Research and Innovation Partnerships and the Digital Singularity.
Founder ISOGG Ireland.
Board and Task Member Smart and Sustainable Cities.

– MSc. Graduate in A.I. at University of Southampton
– 6 Mo. Machine Learning Engineer at Airbus
– Interest in advancing A.I. research in Germany and Europe

10 years of industry experierence
Professor teaching AI
80+ publications in AI and related topics

I’m a Data Scientist in Reti SPA and master degree student in University of Milan-Bicocca.
I worked in different AI projects and solutions for many important enterprise customers and now i’m doing research and innovation in my company and in university

Deep practical insights of AI. Bitkom executiv for Big Data and AI.

Google H-Index: 8

Massimo Ruffolo has 20+ years of experience as:
– Researcher of the Italian National Research Council (CNR) in artificial intelligence, databases and big data, knowledge representation and reasoning, machine learning, and natural language processing (https://scholar.google.it/citations?user=USkBAcsAAAAJ&hl=en). He is also: adjunct professor at the University of Calabria; reviewer of international conferences and journals; author of many scientific papers appeared in books, international conferences proceedings and journals in the computer science field.
– Founder, CEO/CTO of Altilia (www.altiliagroup.com), and founder of 2 other start-ups where he shaped product, marketing and business strategies directly executing R&D, product development, marketing, and sales activities.

Based in Germany and Shenzen, we are German-Chinese Association of Artificial Intelligence (GCAAI), a non-profit organization founded in 2017. We are 500+ academic researchers, industry entrepreneurs, tech leaders, who live or work in Germany or China, sharing the very same goal: boosting the exchange of education, research and public resources between Germany and China in the field of Artificial Intelligence. Recently, further hubs of activities were established in Beijing, Shanghai and Frankfurt.

Data Science, industrial application of AI deep generative models, AI and cybersecurity, AI applied to multi-sensor remote sensing systems for continuous surveillance, Trustworthy AI for decision support in mission-critical systems, AI application to Industry 4.0 and IIoT, AI-Enhanced Communities, Neuromorphic processing systems, Interaction of AI and chaos theory with application to statistical simulation of complex physical processes, HPC for industry applications

Slovak national, currently living and working in Brussels/Belgium. Following Artificial Intelligence, with focus in particular on Machine Learning, AI and Ethics, and Future of Work. Member of the expert group drafting Slovak National AI strategy.

Member of AAAI

– Veranstalter von KI Meetups in Hannover & München
– Preisgekrönter Vortragsredner
– Strategieberatung von DAX30 Unternehmen zur Nutzung von KI

Experienced lawyer with strong interest in use of AI in healthcare

master in healthcare administration thesis on the use of AI in healthcare

We would like to implement AI in our production process. We are interested in making a screening of potential applications.

We are running projects to apply AI methods in the financial Industry together with asset managers, banks and European public institutions.
We are a partner in the EU H2020 project FIN-TECH https://www.fintech-ho2020.eu/ and are organizing the European Conference on Artificial Intelligence in Finance and Industry in Winterthur https://www.zhaw.ch/en/engineering/institutes-centres/iamp/events/artificial-intelligence-in-industry-and-finance/

Marie Curie 8

International Relations Workgoup Leader of the Hungarian AI Coalition
Hungarian NCP for AI4EU

We are a turnkey AI solution provider, with a scalable killer platform. We want to make AI available to all, breaking any hardware or knowledge barriers.

Google Scholar h-index: 19 (https://scholar.google.es/citations?user=2lsAgjUAAAAJ)
Prof. Dr. Juan-Carlos Perez-Cortes holds a PhD. in Computer Science from the Universitat Politecnica de Valencia (UPV), Spain. His field of research is on Artificial Intelligence, Machine Learning, Pattern Recognition, Computer Vision, Perception and Human-Machine Interaction.
After his initial work on Speech Synthesis, for which he was awarded a National Prize in 1990, he received a research grant and worked in Connectionist Systems, Language Models and Geometric Pattern Recognition, obtaining his doctorate on this field in 1994.
He became an assistant professor in that year and tenured lecturer in 1997. He was Research Subdirector of the Department of Computer Engineering of the UPV and he has worked since 1998 in applications of AI, ML and Pattern Recognition to medicine, biometrics, robotics and industrial and embedded systems at ITI.
In 2002 he was appointed as Scientific Director of the Instituto Tecnologico de Informatica (ITI), an Institute of the regional network of technology centers of the Valencian Community, Spain (REDIT). These institutions are private associations of companies belonging to each industry sector. Their mission is to close the gap between the knowledge generation phase and the market adoption of technological products and services. It also belongs to the Spanish Federation of Technology Centers (FEDIT).
He has been main researcher an/or coordinator of 37 public-founded national and international research projects and participated in 26 more. He has been responible of 34 research contracts with companies or administrations, and participated in 20 more. Perez-Cortes is author of 18 journal articles, 7 book chapters, 26 peer-reviewed international conference papers with proceedings and 14 national conference papers with proceedings.
He has been director or co-director of 5 PhD. thesis.

via Emanuele Gianturco, 15-80142, Naples

Candidate of Physical and Mathematical Sciences.

For 15 years taught at the Kuban State University at the Faculty of Applied Mathematics. As a teacher, and then as an assistant professor, lectured and conducted practices in the following disciplines: “Discrete Mathematics”, “Intelligent Information Systems”, “Programming”, “Databases”.

Supervised theses in the following areas: pattern recognition, fuzzy logic algorithms, knowledge base.

In addition to teaching and research, participated in the development of applied and scientific programs in the fields of economics, construction, sales, modeling of physical processes in solids and calculating fire safety risks in the positions of programmer, lead programmer and project manager.

In recent years, the main activity is the design and creation of Universal Artificial Intelligence.

• aktives Mitglied der von David Nordfors und Vint Cerf gegründeten Initiative i4j (Innovation4Jobs) insbesondere mit dem Fokus von KI und #PeopleCenteredEconomy (Firesidechats in Dresden bzw. Berlin für 4. Quartal 2019 in Planung; Einladung: https://docs.google.com/forms/d/e/1FAIpQLSdyk5MDIa1K-xoyZTj-COjz-b7NAtM3R4QeNm1mlbuVrhkeRQ/viewform)
• Teilnahme (auf persönliche Einladung als interdisziplinärer Boundary Spanner) bei zwei vorbereitenden Workshops der vom Fraunhofer IIE/EAS und TU Dresden gestarteten “KI Initiative Sachsen (#KIKis) [2018/2019]

-Founder of BINARTIS GENOMICS, devoted to apply AI & deep learning to genetic diagnosis for clinical applications. (currently at start-up phase)
-Founder of CELEROMICS TECHNOLOGIES. Developped the first cell counting device that could be adapted to any laboratory microscope. Used AI and Computer Vision to automatically count & analyze cells under the microscope. Sold the system in more than 15 countries.
– Founder of DAVANTIS TECHNOLOGIES, national leader of intelligent videosurveillance. Applied AI & Computer vision to intelligent video analysis for surveillance applications. reaching +3m€ annual income; its surveillance system validated by the UK goverment for critical facilities (military, nuclear plants, etc).

– PERSONAL AWARDS.
-Winner of national biotechnology project (30.000 €)
-Entrepreneur of the year award (Entrepreneur Magazine Spain ) – 20.000 €
-Bankia National Entrepreneurs Contest : 16.000 €.
-Best Biotechnology Entrepreneur in Valencian Region. 5.000€

GRANTS RECEIVED AS PRINCIPAL INVESTIGATOR

NEOTEC Research Grant : 550.000 €. (Project : MICROCOUNTER. Artificial Intelligence applied to automatic microscope image analysis and experiment automation)

CDTI R&D Grant : 320.000 € (Project ONCOMARKER. Automatic system based on microarrays & AI to diagnose colorectal cancer)

NEOTEC Research Grant : 300.000 €
(Project DAVIEW: Intelligent Videosurveillance Systems based on AI & Computer Vision)

IMPIVA Research Grant : 250.000 €
(Project GENVAL : Intelligent system for preimplantation genetic diagnosis)

Valencian Instituto of Finance, R&D Grant : 150.000 €

Areas of interest & expertise : Artificial Intelligence, Computer Vision, Genetics, Clinical Diagnosis.

International Patent : Particle counting system adaptable to an optical instrument PCT/EP2013/057164

Graduated (Master) in Cognitive Artificial Intelligence (CKI) at University of Utrecht in 1995. Now working for governments to make documents and data available for reuse for findability and smart applications.

I’m part of the team that organizes the Open Data Science Conference and the Accelerate AI Summit. We also host meetup communities around the world with monthly free events to provide content and share expertise in AI and Data Science

Computer Scientist with a passion for Research and Development. Expert in Web technologies with specialization in Semantic Web, Semantic Interoperability, Human Computation, Citizen Science, Human-in-the-loop Machine Learning and Data Analytics.
Head of the Knowledge Technologies Group, a competency group in Human Computation and Semantic Interoperability with a focus on Smart Cities and transport/mobility. Project Manager and Project Coordinator, 15+ years of experience in 25+ cooperative research projects, at regional, national and European level, with increasing responsibilities over time.

Researcher and data scientist working mainly in the domain of retail analytics using data from IoT sensors installed in physical retail stores.

Currently I perform my research in the areas of machine learning, in particular, deep learning, and knowledge representation and reasoning, while working at the Big Data and Business Analytics Center of Competence of IBM in Greece.

I possess a Ph.D. degree in Artificial Intelligence (AI), in the area of query answering over ontologies, from the National Technical University of Athens (NTUA), Greece, 2014. I have obtained an M.Sc degree in AI from the University of Oxford, UK, 2010, an M.Sc degree in Techno-Economic Systems from NTUA, 2016, and a Bachelor degree in Electrical and Computer Engineering from NTUA, 2009.

As the CTO of a company focussing on additive manufacturing and AI, my expertise lies in the hybrid between these 2 technologies. This being AI for 3D objects and 3D manipulation / designing.

In my professional experience I’ve noticed the need for an International AI innovation network, so I want to put my efforts into this to make it happen. Therefor I strongly believe in CLAIRE!

Researcher focusing on systems science and engineering for Intelligence. Best paper award in CVPR 2000, Longuet-Higgins Award for lasting contributions to Computer Vision 2010. Siemens Inventor of the Year for contributions in Real-time Vision and Modeling 2008, Current focus is on transdisciplinary research in integrated Human-AI systems.

I have a dual position Aalborg University Center for Communication, Media and IT as Adjunct Professor, and Principal Engineer at Mellanox Technologies in the Software Architecture team, working on future technologies for network and AI acceleration.

I have founded an R&D AI Startup (LAIF – www.laifscience.com) in Romania in 2018, working on Brain-Machine Interfaces, and collaborating with the Oxford Computational Neuroscience Laboratory.

LAIF is a spin-off from the Oxford Computational Neuroscience Lab, to leverage AI in deep technologies. Established 4 specialised units (AI, SW, HW, Domain Experts), 3 business verticals (Services, Products, Research), interviewed over 60 people and hired 30, fostered partnerships with top academic institutions (RO, UK, FR and US), attained strategic partnerships with top industry players in the US. Achieved +$1 million revenue for our first year, led grant applications for a total of $4 million, and partnered for grant applications valued at over +$20 million. Strategy formulation and execution, Business Verticals Leadership, P&L Budgeting, Business Development, Clients Acquisition, Operations Management. Our product and research areas include Brain-Machine Interface, ML for Stroke Detection, Spiking Neural Networks, Dangerous Situation Awareness, Drag&Drop AI Environment, Medical Image Analysis – Radiology, Smart Wearable for Biometrics Monitoring.

Besides this, I am pursuing my Master in Artificial Intelligence at the Georgia Institute of Technology.

Former researcher in genetic algorithms and optimization problems.

Co-founder, CEO and CTO of ELSE Corp, a Virtual Retail and 3D Commerce company.
Book Author “Искусственный интеллект для моды” (Artificial Intelligence for Fashion).

I am a Business Transformation and Technology Innovation professional, in the past a R&D manager, contract professor, and a strategy consultant, specialized in the development and launch of innovative DeepTech products and services, mainly Cloud Computing and Artificial Intelligence.
As of technology entrepreneur since 2010, my best expertise lays in the field of Fashion/Luxury Retail and Manufacturing.

Since 2014 I am the co-founder and CEO of ELSE Corp, a startup that is developing a “Real-Time Fashion” approach called “Virtual Couture Fashion”, which is a new business model and a set of technologies, including those for AI-Assisted Design and AI Driven Customer Experience, for an end-to-end Digital Transformation of the supply chains in the fashion sector. ELSE’s mission is to enable MASS CUSTOMIZED design and retailing for fashion brands, process which then leads to the HYBRID (ON DEMAND) manufacturing model, at the end driving the industry towards a true SUSTAINABLE fashion model, which is REAL-TIME and DIGITAL.
http://www.else-corp.com
http://www.virtual-couture.org

– Member of the European AI Alliance @ European Commission
– 3D Footwear expert @ 3D Body Processing Working Group (3DBP), IEEE-SA
– Expert @ Fashion Tech cluster, The Russian Association for Electronic Communications (RAEC)
– Advisor @ Fashion Technology Accelerator (FTA Milan)
– Chairman @inTAIL 2018, AI Driven & Intelligent Retail
– IEEE Member since 2004

Development of Hardware for Big Data processing and AI. Active in EU funded projects incorporating AI in Edge and Fog Computing.

Now I have a role to establish AI competence center within R&D organizational unit. My current focus on AI avatars, NLP, NLG. Researching the organizational aspects, how we can align organizational culture with the use of AI, and how we can enhance our performance with the skills of using AI on a daily level.

AI expert: Artificial Intelligence, Computational Intelligence, Evolutionary Algorithms, Sequential Parameter Optimization

PhD in Medical Device Software Traceability.
Interested in cybersecurity and AI

Co-author of ‘The Rise of Machine Learning in the Enterprise’
Co-author of ‘The New Wave: A Guide To Successful Surfing’ – How do you build and hold on to a job or a career in the enhanced workplace of the future when you’re competing for promotion with an intelligent machine?

Interested in medical AI applications, collaborations and interoperability.
See also www.kiks.ai

I have a PhD in digital media/game technology and work in the field of innovation. I am currently working on an EU H2020 MSCA-IF research proposal with the University of Tampere (Finland) to conduct research into the augmentation of human and artificial intelligence. The research proposal looks to investigate the human factors aspects of AI, which will include the use of participatory design practices, gamification and game-based activities as mediators of engaging interactions and problem solving between human and machine that generate data, develop insights, facilitate business problem solving and aid both human and machine learning.

5911 Oak Ridge Way

Member: Slovak.AI & European AI Alliance

CS degree and more than 20 years working in software development (in the industry of telecommunications (network management) and mobility/insurance (Big data / IoT)).
Yesterday employee of a large enterprise, today an entrepreneur.
Really interested in the technologies that are changing the world.
Currently investing in AI (now studying ML).

Focus on AI for medical computer vision

AI in Telecommunications (5G/6G) and Computer Vision (Light Field Analysis)

After a degree in Theoretical Particle Physics and a Ph.D. in Statistical Physics (SISSA, Trieste) on Entanglement Entropy, I’m currently into AI. In particular, I’m working out deep learning solutions applied to language. In addition, I am a machine learning instructor and an active speaker for meetups and events. Really interested in AI application for improving nature and human conditions.

I am an expert and lead researcher in AI4NETS at the Austrian Institute of Technology in Vienna. AIT is Austria’s largest Research and Technology Organization, and an international key player in many of the research areas it covers. AI4NETS – AI for Networks, is my attempt to drastically improve the functioning and operation of the Internet and the services relying on it through the systematic and successful application of AI/ML concepts. For the last 15 years, I have been tackling the core challenges hindering the acceptability and adoption of AI/ML in networking applications such as security, performance, anomaly detection and troubleshooting, and Quality of Experience. I work as principal investigator, project manager, technical work leader and researcher in multiple international projects in AI4NETS, I have published more than 150 papers around AI4NETS topics, receiving 13 best paper, best demo, and best student work awards. I periodically organize different international scientific events such as summits, workshops, and groups of interest around AI4NETS topics, having organized 17 of these events in the last five years, 11 of them initiated individually by myself. My main research interests include artificial intelligence, machine-learning, and data mining based approaches for Networking, big data analytics and platforms, Internet network measurements, network security and anomaly detection, as well as QoE modeling, assessment and monitoring.

I am CEO of a startup who is developing projects in the industrial and medical sector with traditional and new technologies

Ph. D. in Computer Science – Artificial Intelligence. Intelligent Autonomous Robots and Systems research line head, Manufacturing and Retail sector, Atos Research & Innovation.

Earth Observation (EO), Complex Systems, Blockchain,

Joshua Gerlick is a seasoned corporate executive, research academician, and management educator, whose unparalleled ability to communicate broadly between practitioner and scholarly spheres of influence has earned him a reputation as a trusted advisor and highly-sought speaker. His current research agenda is situated at the intersection of advanced technology systems, human-computer interaction, and organizational learning — examining how firms navigate moral hazards and develop risk mitigation strategies within an ecosystem increasingly driven by artificial intelligence-based decision-making platforms. He uniquely illuminates relevant insights that suggest how public policy and industry self-regulation may co-exist to reduce algorithmic bias, increase data transparency, and validate fairness and inclusion in AI-based decision-making.

Joshua has also earned numerous awards and accolades during his career as an entrepreneur, executive, and consultant. He is recognized as a “science pioneer” by the University of San Francisco and a “rising star” by the Pittsburgh Technology Council. His expertise commercializing public- and private-sector technologies spans industrial domains including semiconductor fabrication, diagnostic medical device manufacturing, and autonomous vehicle control systems. Organizations honoring his contributions as a champion of technology commercialization and agent of change include Honeywell Aerospace, the Project Management Institute, and NASDAQ.

As a scholar, Joshua has served on the faculty of Case Western Reserve University and Grand Valley State University, and he regularly accepts speaking engagements throughout the world. He is an active member and contributor to numerous scholarly- and practitioner-oriented organizations.

Joshua is completing his PhD in Management at Case Western Reserve University. He earned an MBA and BS in Business Administration from Carnegie Mellon University.

http://www.lai4d.org/

Dr. Ansgar Koene is AI Regulatory Advisor at EY Global where he supports the AI Lab’s Policy activities on Trusted AI. He is also a Senior Research Fellow at the RCUK funded Horizon Digital Economy Research institute (University of Nottingham) where he contributes to the policy impact activities of the institute and leads the policy related stakeholder engagement activities of the ReEnTrust project. As part of this work Ansgar has provided evidence to twelve UK parliamentary inquiries, co-authored a report on Bias in Algorithmic Decision-Making for the Centre for Data Ethics and Innovation, and was lead author of a Science Technology Options Assessment report on a Governance Framework for Algorithmic Accountability and Transparency for the European Parliament.

Ansgar chairs the IEEE P7003 Standard for Algorithmic Bias Considerations working group, is the Bias Focus Group leader for the IEEE Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS), and a trustee for the 5Rgiths foundation for the Rights of Young People Online.

Ansgar has a multi-disciplinary research background, having worked and published on topics ranging from Policy and Governance of Algorithmic Systems (AI), data-privacy, AI Ethics, AI Standards, bio-inspired Robotics, AI and Computational Neuroscience to experimental Human Behaviour/Perception studies. He holds an MSc in Electrical Engineering and a PhD in Computational Neuroscience.

Background in Data Science and Remote Sensing with many years of engagement in AI/ML projects through both academia and industry

Expertise in: information retrieval, text-mining & text-analytics, computation linguistic and machine learning, in particular for the fields of e-discovery, corporate & information governance, and other legaltech applicationa.

Since 2008, Scholtes holds the extra-ordinary Chair in Text Mining from the Department of Knowledge Engineering at the University of Maastricht and he is a senior research fellow of the Dutch School for Information and Knowledge Systems (SIKS). (SIKS) is a Dutch Research School established in 1996 and accredited by the Royal Netherlands Academy of Arts and Sciences (http://www.siks.nl/).

From 1987 to 2009 Scholtes acted as President / CEO of ZyLAB. Scholtes has been involved in deploying in-house e-discovery software with organization such as the UN War Crimes Tribunals, the FBI-ENRON investigations, the EOP (White House), and thousands of other users worldwide.

https://www.linkedin.com/in/alexandru-tantar

President Big Data Value Assoc.
VP OPC Foundation
Chairman Labs Network Industrie 4.0
Member SteCo Plattform Industrie 4.0

J’ai mis au point un Nouveau Test de Turing dans le but d’évaluer et comparer les niveaux d’intelligence entre un humain et une I. A., et souhaite le faire connaitre à la communauté scientifique.
Jean-Luc Camilleri 32120 Sarrant FRANCE

MSc International Relations from London School of Economics; interest in and practical experience with machine learning through my job at Accenture NL (Intelligent Automation Deeloper); freelance research experience with Australian Dpt. for Foreign Affairs and Trade and Economist Intelligence Unit; main interest is applying big data and AI techniques to address societal and economic (policy) problems.

In the past two years we have launched a program in the company
On the application of artificial intelligence in energy, health and education
We want to explore the applications of artificial intelligence with a human-centered approach to nature conservation
We want to create hardware pilots in these areas
Power station way for electric cars
Cardiac Patient Care System
And training for people in a remote place

I am an IT professional holding Information Technology (BSc) and Engineering Teacher (BSc) degrees at the Budapest Tech (now Óbuda University). Having 15+ years of project management experience in the private sector IT industry, with 5+ years of product management and business analysis experience in IT software development field.
Right now I am in the planning phase of a research/innovation/development program initiative, aiming to improve on and add support to investigation processes of law enforcement offices (as well as prosecutors and relevant NGOs) with a special focus on finding missing children in the EU through AI methodology-based solutions.

Please contact us if you would like to know more.

Master of Science in Artificial Intelligence, currently working as AI Pragmatist.

Hi,

CLAIRE is also a great step towards contributing and reaching towards our SDG goals 2030.
I would like to be part of CLAIRE and also see how my company can be useful in advancing the research goals of CLAIRE.

Looking forward to hear from you.

Best
Prasenjeet

Hi, told a friend of my, about our project progress

https://www.linkedin.com/posts/mahirozdemir_consortium-hr-blockchain-activity-6621309700266827776-Xgxk

She mention Claire AI , and told me that you are also taking human (rijnlandsmodel) instead of the company (anglo saksich) as the starting point of organization. Our thinking and projects are based on the work of Peter Drucker, and we are putting effort in “how we can make knowlegde workers more productive” … Our missions have a lot of common ground , “ Weconomics is a network of partners.

Our focus is on the design, development and deployment of organization technologies (such as Blockchain)

to reduce organizational friction to create surplus(time) for a better and more sustainable world.”

So i thought, lets connect because alone we are faster and together we go further for the commons

Researcher with an academic background (PhD) and business experience in various topics such as machine learning, natural language processing, data science, microservices, automated data normalisation, debugging, testing, concurrency, compilers, and automatic program/data transformation.

Prinses Mariannelaan 122

I had my PhD from the university of Nottingham, specialized in satellite image super resolution using deep learning and the effects of data augmentation. Worked for more than 10 years at several companies with open-source geospatial technologies. Contributes to few OS geospatial tools/applications

EIT DIGITAL ACCELERATOR: TAILOR-MADE GROWTH SUPPORT FOR EUROPEAN TECH SCALE-UPS
1. Secure international customers
2. Raise Series A-B funding
3. Join the leading European innovation ecosystem
3. Scale up internationally

PhD from Universidad Politécnica de Madrid. Expertise in multiagent systems, natural language processing, sentiment and emotion analysis, and linked data technologies.

Bachelor’s in management engineering, After 9 years in information technology project management field, in September 2019 I joined a company that works in AI and speech recognition field with the role of project manager

Miguel Angel Veganzones received the Ms.C. and Ph.D. degrees in Computer Science and Artificial intelligence from the Basque Country University (EHU/UPV), Donostia-San Sebastian, Spain, in 2008 and 2012, respectively.

In October 2012, he joined the Images-Signal Department, GIPSA-Lab, Grenoble, France, as a Postdoctoral Researcher. His research interests include the analysis of hyperspectral images by means of multiway analysis, computational intelligence, and statistical techniques.

In June 2016, he joined NEM Solutions as Data Analysis Manager and since May 2018 he works as Artificial Intelligence Director in Sherpa.ai

Dr. Veganzones is member of the IEEE Geoscience and Remote Sensing Society, the IEEE Computational Intelligence Society, the IEEE Signal Processing Society, the CNRS GDR 720 ISIS (Information, Signal, Image et ViSion) and the CNRS GDR 3708 MADICS (Masses de Données, Informations et Connaissances en Sciences).

He is a regular Reviewer of international peer-reviewed scientific journals and has participated as a Program Committee Member and as a Scientific Referee in several international conferences.

Google Scholar
https://scholar.google.es/citations?user=8o-d6B4AAAAJ&hl=es

I am a Thinker, Creative and Maker, with the focus for a higher level of security in fields like
· The industrial Growth-driven mindset overtaking the sustainable ecosystem.
· Technology-driven mindset taking over the human values-driven system. In my opinion this will soon see a shift back to Ethics, values and humanity needs [already visible in some areas]

DTx: Digital Transformation CoLAB. DTx is a non-profit private association, that carries out its activity doing applied research in different areas associated with digital transformation

Please consider this message as important and require your acknowledgment.
We would like to invite you to join a group of members from your organization to our convention i.e. “8th Global Summit on Artificial Intelligence and Neural Networks” which is going to be held in Dubai, UAE during the month of June 18-19, 2020.
For further details kindly check with the given link: https://neuralnetworks.conferenceseries.com/
With regards,
Steven Parker
Program Manager | Neural Networks 2020
Tel: +12013805561

Member of HITeC e.V., Executive Director of IKS Hamburg / Knowledge and Technology Transfer

Interested in becoming a Member of Claire AI with our Research Organization ARIC e.V.

NLP, RPA, Smart home private cloud

PhD in Physics

Universidade do Minho, Campus de Azurém, edf. 14

Multiple criteria decision making, multiobjective optimization, surrogate-assisted optimization, explainable AI, visual analytics

Via Medeghino 12 – Milan

Specialties:
I am a developer Deep Learning algorithms capable of delivering useful information from biosignals, namely Electrocardiograms and Electromyograms, imposing innovate solutions for processing and decision of large amounts of data.

I also was a NASA FDL researcher specialist during the summer of 2019 and will work as a mentor durring 2020.

Technology Planning and Cooperation Manager. Head of DACH coopeartion.
Responsible for the DACH research agenda and academic relations in the DACH region.

Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Data Scientist and Researcher in Machine Learning and Artificial Intelligence.

He attended the University of Deusto and the National Distance Education University (UNED), receiving his BSc+MSc in Computer Science and his MSc in Advanced Artificial Intelligence respectively. In 2018 he obtained his PhD in Artificial Intelligence at the University of the Basque Country (EHU/UPV).

His research topics are real-time data mining (stream learning), concept drift, incremental learning, adaptive and evolving systems, anomaly detection, spiking neural networks, and cellular automata for data mining. Some of them as part of real applications in Robotics (planning), Energy, Telecommunications, Transportation Systems, IoT, Industry 4.0, and Smart Water. Also interesed in multi-purpose AI, hoping that AI community builds JARVIS while avoiding Skynet.

Occasionally, he writes data science stories for reputed blogs such as KDnuggets.com or Towardsdatascience.com. Not forgetting the leisure side, he also loves to go outdoors to surf all over the globe.

I Study and research in I.A. models for biology and health, to reach improvement in data analysis and disease prediction. In the last time I’ve also explored industrial segment with adopting same approach used to analyze health disease.

Fayaz Hudah

Former Programme Head of The Information and Communication Technology Agency of Sri Lanka with nearly 20 years’ experience technology industry. He is the Founder of ‘spiralation’, the 1st Technology Accelerator in Sri Lanka. Co-author of the National ICT Capacity Strategy (NICS) which later became government policy for IT & KPO development in Sri Lanka. Drafted bilateral trade in IT/ITES services under CEPA with India and Pakistan. Creator and facilitator of The Technology Entrepreneurship course for Open University Of Sri Lanka. Judge of Kotiyak Vatina Adahasak the 1st startup reality TV show in Sri Lanka. Moderator, panelist 2016 & judge of the slingshot challenge 2017 at DisruptAsia 1st startup Conference & Expo. Juror 2013-14, congress judge 2015-16 and moderator 2017 of eSwabhimani National Best Quality Content Awards in Sri Lanka. Judge 2014-15 and keynote speaker 2013 at MIT GSL. Curator of Computer Society Of Sri Lanka CIO Forum. Moderator of the National Broadband Forum 2017 & 2018. Founder and Investor of a number of technology startups related to transportation, tourism, health, analytics, retail, etc. A connector and mentor to startups and a consultant to government, INGO and private sector organizations in technology transformation, productization, innovation, go-to-market and operational strategy.

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At HD Vision Systems we develop light field based multi-camera systems for quality inspection, robotics and automation. Our AI-based algorithms provide our partners with superior results in an easy-to-use manner.

I have a PhD in Computer Engineering by Universidade do Porto Faculty of Engineering with the topic “Agent-based Service Reconfiguration for Dynamic and Evolvable Systems”. I was able to successfully validate this innovative approach in flexible manufacturing system located in University of Valenciennes and at real industrial scenario at Whirlpool Factory – Naples, which allowed me to cover an interesting technological readiness from TRL-3 to TRL-7.

I’ve expertise on Industry 4.0; Cyber-Physical Systems; Intelligent Manufacturing; Machine Learning; Self-organization;
I’m an Invited Assistant Professor at Instituto Universitário da Maia and Auxiliar Researcher in the Digital Transformation Colab (DTx).

I’ve receive a Awards: Innovation Awards Technology Industry 4.0 (4k€)

Marketing & Sales professional, graduated in Electronics and Automation Engineering, with more than 19 years of international experience in global digital business growth management.
Strategic and open-minded thinking.

Send me an email for any questions, Ricardo

Publication list can be found at
https://www.researchgate.net/profile/Hannes_Fassold/research

Dear Sir/Madam,

At HIPSTO we are building the world’s premier open AI information discovery platform where we are pushing the current boundaries of AI/DS/ML/DL. Recent breakthroughs are extending Google BERT in field of related content detection (science paper available) and tests that show our AI “blind vision” technology is vastly superior to “computer vision” in the area of web data feature extraction & labeling. ……..and much more :-). We are here to help!

Silvia Martinelli is a lawyer of the Milan Bar Association, Researcher (“Assegnista”) at the University of Milan and PhD Candidate at the University of Turin.

Graduated in Law at the University of Milan, specialized in “Legal Informatic”, she is also Fellow of the Information Society Law Center (ISLC) of the University of Milan and Teaching Assistant (“Cultore della materia”) in both Private Law (University of Turin) and Legal Informatics (University of Milan).

She is also Member of the Editorial Committee of the Law Reviews “Ciberspazio e Diritto”, “Diritto, Mercato e Tecnologia” and “Diritto di Internet”, Fellow of the European Law Institute and of the Italian Academy of Internet Code, Member of the European Law & Tech Network.

She published a book about the right to be forgotten: “Diritto all’oblio e motori di ricerca. Memoria e privacy nell’era digitale“, Giuffrè, 2017 (“Right to be forgotten and search engines. Memory and privacy in the digital age”).

She wrote scientific articles about e-commerce, freedom of expression online, control of the worker through new technologies, domain names, data protection, right to be forgotten, data portability, provider’s liability and platform economy.

The PhD Research Project concerns platform economy and the liability of the intermediary platform. It focuses on Uber, Airbnb, Amazon and Ebay.

– Through Quant Prophets I am heavily involved in applications of AI in quantitative finance;
– Through my role as Chairman of Healthcare Data Technology I was actively involved in the application of AI in the healthcare industry;
– At the Data Science Foundation (https://DataScience.Foundation), I serve as a Member of the Judging Panels for the Annual 1) AI Startup of the Year Award, AI Innovation of the Year Award, and 3) Data Science & AI in Healthcare Award.

I have experience in working with variety of machine learning algorithms for modeling, classification and clustering problems. I am also familiar with Machine vision and data visualization. Being an expert in Python, Tableau, MATLAB, Java and C++ programming are some of my technical skills as well as troubleshooting and problem-solving due to more than three years of experience as a software engineer. Developing insurance core system for the largest Iranian insurance company in collaboration with a German company and gain skills in software development and Scrum methodology. Viewed as a self-driven, diligent, innovative and team worker. Suitable performance for perfect presentation and education skills. Achieve the first grade of Text & Web Mining, Evolutionary Computing and Neural Network in master’s degree. Teacher assistance of C++ programming, Artificial Intelligence, machine learning, and image processing. Interested in learning, research studies, and also follow subjects with enthusiasm and endeavor. Currently, work on insurance fraud detection and participation in the technological challenge of “Intelligent data mining in the power of cognitive science”. At last, eager to join a Research team in my area of interest.

– “Cloud & AI Reseacher” @ School of Management of Politecnico Milano
– “Data-Driven Strategy Practice Manager” @Reply
– “Director of Data & AI” @Jakala

Expertise in image processing, EO and experience in AI, Deep Learning methods and simplification strategies for on-board processing.

Member of the board of examiners for information technology – Baden-Wuerttemberg Cooperative State University Karlsruhe

Hello,

actually im a student in coding and software engineering, focusing on artificial intelligence electives with some early scientific experiences about AI.

I want to be a member of CLAIRE, as I would like to dive more into this world.

AI ethicist, NLP enthusiast

I hold a M.Sc. degree in Computer Science from Saarland University, Germany. I hold a B.Sc. degree in Electronics & Communication Engineering from Ain Shams University, Egypt.
I currently work as a researcher in applied machine learning at DFKI and I previously worked as a research assistant for 1.5 years at HCI group, Saarland University. I also worked for two years as a senior optimization Engineer at Vodafone Egypt.
My research and work interest is HCI (Human Computer Interaction), Multimodal Interaction, Computer Vision, Machine Learning, Deep learning, Embedded systems and Security, Electronics and Telecommunication.

Recently, I became a research assistant at Kempelen Institute of Intelligent Technologies (KInIT). Here, I’m a part of NLP research group.

Besides KInIT, I’m a PhD at Slovak university of technology in Bratislava, field applied informatics. My research is focused on applications of artificial intelligence and computer vision in medical image analysis with emphasis on segmentation (mainly MRI), early diagnostics and explainability of decisions of neural networks..

At the university, I worked as a teaching assistant in subjects Computer vision, Digital signal processing and Development of web applications in cloud environment. As a product owner and teacher I lead 3 teams of students developing complex software using Scrum methodology (subject Team project, 2 semesters).

Since 2016, I work as a software developer at Siemens Healthineers Slovakia. My work consists mostly of developing machine learning and deep learning based prototypes and applications. I also lectured series of deep learning courses for different teams. As far as cloud is concerned, my active working experience also includes MS Azure and Azure DevOps (delpoyment, training models in cloud, containers, …, basic experience with Azure ML).

During my bachelor’s and master’s studies, I’ve achieved multiple awards.
* Magna Cum Laude for excellent results in undergraduate and graduate studies.
* Dean’s award for excellent final thesis in undergraduate and graduate studies.
* 3rd place in IT.SPY 2016, international IT Master’s thesis competition held in Prague, Czech Republic. Formerly known as ACM.SPY.

– 3 years of experience advising established multinational companies on formulation of AI strategy at Accenture Technology Strategy
– currently working at CERN Knowledge Transfer on formulating a technology transfer value proposition for AI
– interested in learning about roles and ways of engaging with CLAIRE

I am technologist with experience in managing AI products and projects, gained through quantitative and managerial roles in top tier consulting and industry leading corporates, and by being the founder and CEO of a venture-backed Machine Learning startup. My areas of expertise are Advanced Analytics and Artificial Intelligence, leading cross-functional teams of data scientists, data engineers, developers and designers to build software solutions that unlock real business and social value.

1. Obtained B.Sc. of Informatics 2008
2. Obtained M.Sc. of Informatics 2010
3. Obtained B.Sc. of Informatics 2015
4. 2nd place Valeo Innovation Challange 2015
5. Software Campus participant

I am currently a junior researcher at Kempelen Institute of Intelligent Technologies (KInIT), where I am part of Information Processing research group that deals mainly with the problem of false information on the Web and all of its related fields (interpretability, ethics of AI etc).

Besides KInIT, I am a PhD student at Slovek University of Technology in Bratislava in a field of intelligent information systems and AI. In my research at the university, I focus on the application of AI in the domain of misinformation detection (mainly in medical domain), with the focus being on detection with only small number of labelled samples (with the use of meta-learning). In addition, I want to address the problem of explaining decision (which was my main point of focus in the masters degree) in domain of misinformation with the use of small amount of data. I have already submitted multiple papers on international conferences. At the university, I participated in 2 research projects (on misinformation detection), one of which was in cooperation with Bar-Ilan University in Israel and dealt with medical misinformation.

I also worked as a teaching assistant at the University. I lead a team of students, as a product owner, developing complex software with the help of Scrum methodology.

During the bachelor and masters study, I participated in the Microsoft Imagine Cup competition with an application for automatic extraction of information from receipts, which then evolved into a startup (which ended after few years as our team fell apart, as each of us wanted to focus on different things). During the last year of my masters study, just before starting my PhD, I participated in the research projects, developing a platform for collecting various mis/informative articles and claims from the Web and their classification. I have active experience with development of web application, the use of Docker and other devops.

During my bachelors and masters degree, I have achieved various awards:
– I finished Magna Cum Laude for excellent results in both the bachelors and masters studies
– Chancellors award for excellent results 3 years in the row (last year of bachelor studies and 2 years of master study)

I am a very enthusiastic and strongly motivated researcher in software engineering. My main focus is on software traceability for developing high quality software products.

Since I found combining different study fields and the involvement of industrial partners leads to improved research, I strive for establishing persistent and fruitful collaborations with research groups and companies around the world. As a lecturer, I like to be creative by introducing trendy and catching material to my courses while promoting the research career of future scientists.

I hold a PhD in Computer Science by the Universitat Politécnica de Valencia (UPV, 2016), Spain. I got a bachelor degree in 2009 by the Universidad Nacional de Colombia, Medellín. Later on in 2011, I got a MSc in Software Engineering, Formal Methods and Information Systems by the Universitat Politècnica de Valencia, Spain.

Some of my research interests are: information systems evolution, requirements engineering, conceptual model evolution, model-driven development, conceptual model traceability, business process modelling, goal modelling, organisational reengineering, and delta analysis for software evolution. More information: www.marcelaruiz.eu

I’m Mathematical and Industrial Engineer. Doctor in Science. Member of IEEE, ACM, INFORMS and European Society of Operational Research. I have interest in Machine Learning, Operational Research, Artificial Inteligent, Analytics, Data Science, Data Mining and Simulation.

ICT Lawyer | EU Observatory Expert | Member of the European AI Alliance | Chair of the Online Arbitration Court CODR.PL | Juris Doctor | IT Project Manager | Assistant Professor

european ai framework for cross correlation of scientific data – made for H2020 projects and interdisciplinary science. Financed by the euroean community.

it infrastructure for multi user cloud storage and analysis

Passionate about people and technology, I am the CEO of ReliaSol.ai a successful scale up company headquartered in The Netherlands.

We developed a Digital Platform for Predictive Maintenance based on Artificial Intelligence (Deep Learning) that helps our customers to optimise their industrial processes, increase their production uptime and decrease their maintenance costs.

Customers like Bühler, Opel, Volkswagen, EDF, Howden, GE Power among others have already trusted in our expertise and experience.

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Juan Manuel Ahuactzin is the Research & Development Director at Promagnus Company. He has over 20 years’ experience driving top scientific and technological research projects and over 10 years’ experience in systems analysis, design, and industry development. He has a solid background as a teacher and mentor in higher education. He has acquired experience in Bayesian technology, data mining, machine learning, optimization techniques, and geometric reasoning along in his career. J.M. Ahuactzin has extensive and applicable knowledge in diagnosis and prediction under uncertainty, decision and risk analysis, smart cities, the internet of things, robotics, and health informatics. Besides, he is interested in the techniques of creativity, innovation, and Design Thinking. He is the author and co-author of several journal articles and book chapters, mainly in robotics and applied Bayesian reasoning. Along with his colleagues at INRIA, he is co-author of the book “Bayesian Programming” published by CRC Press.

He received his Bachelor’s degree in computer systems engineering from Universidad de las Américas Puebla (UDLAP) Mexico in 1989. He obtained the M.S. and Ph.D. degrees in Computer Science from the Institut National Polytechnique de Grenoble, France, in 1991 and 1994. During 1994-95, he worked as a postdoctoral fellow in the robotics group at Simon Fraser University (SFU), Canada. He continued to be an associate researcher at SFU during the summers from 1996 to 1999. From 1995 to 1999, J.M. Ahuactzin had a permanent Computer Systems Engineering Department position at UDLAP. From January 2000 to 2005, he was a researcher at INRIA Rône-Alpes, France, where he participated in several European research projects. J.M. Ahuactzin is cofounder of Probayes (spin-offs of INRIA) in France and Probayes Americas in Mexico (now Promagnus). At the first company, he was the Research Director from 2005 to February 2011; at Probayes Americas, he was CEO from 2010 to May 2015. Probayes was acquired by La Poste (France) in 2016. From May 2015 to June 2020, he was the innovation program manager at T-Systems Mexico. Dr. Ahuactzin is passionate about academia; he is a part-time course lecturer at Universidad de las Américas Puebla. Juan Manuel Ahuactzin is a founding member of the Mexican Academy for Computing.

Worked on several Big Data and analytics projects, mainly in finance applications recently.
Interested and supportive of initiatives fostering ethical use of these technologies.

I am currently working on my PhD at the Doctoral School of Regional- and Business Administration Sciences of Széchenyi István University of Győr in Hungary. My research work is supported by Cooperative Doctoral Programme of the National Research, Development and Innovation Office of Hungary.

Already heavily involved in both academic and industrial AI projects

Lead, AI Global Taskforce, FTI Consulting

Legal AI

My research focuses on Artificial Intelligence, Multi-Criteria Decision-Making, Decision Analysis, Programming Languages and Software Engineering. Strong research background with a Master of Science – M.Sc. focused on Knowledge Technologies from Jožef Stefan International Postgraduate School. Currently, working on SYNTH (synth.cs.kuleuven.be) project as a member of Declarative Languages and Artificial Intelligence group at KU Leuven.

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With the ‘Weed Whacker’-robot Odd.Bot has successfully developed a mechanical in-row weeding robot to initially support organic farmers with their hand-weeding tasks. Eventually the company is aiming to help all farmers in their transition to sustainable agriculture, replacing the need to use any potentially harmful chemicals.

The system consists of a detection unit with a high precision camera that utilizes A.I. machine learning tech to distinguish weeds from crops and determine the most effective removal action. A patent-pending mechanical 3-in-1 gripper is used to mechanically remove the weeds.

The system is live for usage in (organic) carrots and tested now for usage in onions, chicory fields and other high value high density crops

Interested in the governance of AI, 10 years experience in consensus building between government, industry, research and the community on national level initiatives/ themes, interested to further engage with CLAIRE and based out of the Australian Embassy Berlin.

I lead product development for Bitfury AI. At Bitfury AI, we are developing disruptive hardware technology to accelerate efficient machine learning in the edge. I am interested in machine learning and contributing back to the community.

Ph.D. in AI from Telecom Paris, ENST
10 years co-developping Mila as Director AI for Humanity, Executive Director and Director of Technology Transfer under the supervision of Prof. Yoshua Bengio, Turing Award Laureate 2018.
Interests: contribute to build a better world with a responsible and sustainable use of AI.

Dr Heinz Mayer, Director of JOANNEUM RESEARCH DIGITAL since 2013, graduated from the Graz University of Technology with a master degree in Telematics and a doctoral degree respectively. After several years at Magna Steyr, he is ramping up the research unit Machine Vision Applications since 2007 at JOANNEUM RESEARCH. Heinz Mayer is member of the professional organizations IEEE and ACM and member of the Austrian strategic community. He is start-up founder and holds several patents.

Founder and CEO of Textkernel, Zeta Alpha.

I have been working in Informatics and Sustainability Research with Prof. Hilty in St.Gallen/Zurich (CH) and my interests are:
a) how to prevent Artificial Super Intelligence
b) SingularityNET
c) Sustainability

I am passionate about innovation, digital health technologies, AI tools, welfare solutions and creation of a sustainable society equal for all citizens. I find energy in engaging with innovators, entrepreneurs, citizens, and I have a special interest in user-centred inclusive design, digital technologies and AI solutions.