Keynote talk by Robert Riener: Rehabilitation Robots that Cooperate and Motivate

Robert Riener is full professor for Sensory-Motor Systems at the Department of Health Sciences and Technology, ETH Zurich, and full professor of medicine at the University Hospital Balgrist, University of Zurich. His work focuses on the investigation of the sensory-motor interactions between humans and machines and the development of user-cooperative rehabilitation robots, exoskeletons and virtual reality technologies. Riener is the initiator and organizer of the Cybathlon, which was awarded with the European Excellence Award, the Yahoo Sports Technology Award and with two categories of the REIMAGINE Education Award. Riener has published more than 500 peer-reviewed journal and conference articles, 36 books and book chapters and he filed 26 patents. He has received 26 personal distinctions and awards. In 2018 Riener obtained the honorary doctoral degree from the University of Basel.

George Kampis: Humane AI

Professor Kampis used to act as founding chairman and Professor (between 1994 and 2016) of the department of History and Philosophy of Science at Eötvös Loránd University in Budapest (http://hps.elte.hu). He holds a PhD and a Habilitation in Biology and a D.Sc. in Philosophy of Science. Main research interests in computational modeling, Artificial Life, cognitive science (Director of the Budapest Semester in Cognitive Science, http://hps.elte.hu/BSCS), complex systems (www.deepdata.org) and evolutionary systems. Dr. Kampis has about 150 scientific publications, and he is the author or editor of several books with international publishers Elsevier, Kluwer, and Springer. Serves on the editorial boards of the Elsevier journals Cognitive Systems Research and Computational Science. He has joined DFKI in 2012 as a Senior Researcher.

András Lőrincz: Semantic Matching and Human-Centered AI: A Product-Oriented SWOT Analysis

András Lőrincz, professor, senior researcher has been teaching at the Faculty of Informatics at Eötvös University, Budapest since 1998. His research focuses on human-machine interaction and their applications in neurobiological and cognitive modeling, as well as medicine. He has founded the Neural Information Processing Group of Eötvös University and he directs a multidisciplinary team of mathematicians, programmers, computer scientists and physicists. He has acted as the PI of several successful international projects in collaboration with Panasonic, Honda Future Technology Research and the Information Directorate of the US Air Force in the fields of hardware-software co-synthesis, image processing and human-computer collaboration. He took part in several EU Framework Programmes.

He graduated in physics at the Eötvös Loránd University in 1975 where he received his PhD in 1978 and his CSc in 1986 in experimental and theoretical solid-state physics and chemical physics, respectively. In the field of laser physics, he is a habilitated professor of the University of Szeged (1998), whereas he habilitated in the field of Informatics at the Eötvös Loránd University in 2008. He conducted research and taught quantum control, photoacoustics and artificial intelligence at the Hungarian Academy of Sciences, University of Chicago, Brown University, Princeton University, the Illinois Institute of Technology and ETH Zurich. He authored about 250 peer reviewed scientific publications.

He has received the Széchenyi Professor Fellowship Award, Master Professor Award and the Széchenyi István Fellowship Award in 2000, 2001, and 2004, respectively. Four of his students won the prestigious Pro Scientia Gold Medal in the field of information science, for which he has received the Master Professor Award. In 2004, he was awarded the Kalmár Prize of the John von Neumann Computer Society of Hungary. He has become an elected Fellow of the European Coordinating Committee for Artificial Intelligence for his pioneering work in the field of artificial intelligence in 2006. He has received the Innovative Researcher Prize of the University in 2009 and in 2019. In 2015 he received the Pro Ingenio Award for bringing up talented researchers.

Attila Papp: How Amazon became an AI-powered company

Attila Papp is Lead Cloud Solution Architect, specialized in DevOps, cloud, containers, and AI-based applications. He started as a mobile developer, then explored the world of backend engineering, and finally settled in cloud computing. In his current project, he builds serverless data pipelines for Porsche on AWS. He graduated from BME with a Master’s degree in Computer Science. His research interest focusses on methods for cloud-based software engineering including cloud migration, data engineering and related concepts of artificial intelligence.

Lead Cloud Solution Architect @ adesso Hungary Software

Itilekha Podder: AI in the MEMS based inertial sensor production

Itilekha Podder is an industrial doctoral student at the Doctoral School of Informatics, Eötvös Loránd University (ELTE) in collaboration with the industrial partner Robert Bosch Kft., Budapest, Hungary under European Institute of Innovation & Technology (EIT) since 2020. She is obtaining her PhD degree in Computer Science. Her thesis topic is “Development of a method for the deployment of Deep Learning algorithms with applications in Autonomous Systems and Industry 4.0” under the supervision of Dr. Udo Bub, Director of IAI Institute, Innovation and Information Systems Engineering, Faculty of Informatics, Eötvös Loránd University (ELTE). She is working in Micro-electromechanical systems (MEMS) process optimization using Artificial Intelligence (AI). Currently, she is dealing with machine learning algorithms and neural networks for MEMS production process steps reduction. She received best paper award at the conference 2nd International Conference on INDUSTRY 4.0 ANDARTIFICIAL INTELLIGENCE (ICIAI 2021) for the paper “Smart Feature Selection for Fault Detection in the MEMS Sensor Production Process using Machine Learning Methods”.

Márk Jelasity: Robust Machine Learning

Márk Jelasity is a full professor and department head of the Department of Algorithms and Artificial Intelligence, University of Szeged. He obtained his PhD degree in Leiden, the Netherlands, in 2001. He has worked in various areas including heuristic search, distributed computing systems, machine learning, and the intersections of these. Currently, he is interested in fully decentralized machine learning algorithms over IoT devices, and the problem of adversarial examples in machine learning. He visited Cornell as a Fulbright Researcher, he won a 10 year best paper award at Middleware, and he was awarded the Bolyai plaquette by the Hungarian Academy of Sciences. 

Szegedi Tudomanyegyetem, Termeszettudomanyi es Informatikai Kar, Informatikai Intezet, Szamitogepes Algoritmusok es Mesterseges Intelligencia Tanszek.

Zoltán Kárász: Application of AI in self-driving function development and in the product development

Zoltan works as Senior AI Expert at Robert Bosch. He has acquired Ph.D. in microelectronics, and after that, he started working in the Hungarian Academy. In 2017, he joined Robert Bosch on a newly created R&D team as a machine learning expert. He led a research project about Multimodal sensor fusion in autonomous driving, then became the project manager on AI-related supporting activities at the Budapest location.

László Gulyás: On the Structural Analysis of Sparse Neural Networks

László Gulyás (graduate of ELTE), is an associate professor at the Department of Artificial Intelligence and deputy director of the Industry-Academy Innovation Institute at Eötvös Loránd University. Formerly he has Node Director of EIT Digital Budapest. Between 2006 and 2015, he has assistant professor at ELTE TTK. Between 2003 and 2015, he was the research director of AITIA International Zrt., responsible for research and development projects; head of one of the division of the company. The company was included in the list of Deloitte Technology Fast 50 among the 4 fastest growing Hungarian technology companies between 2007 and 2010 (first place in 2009). He has also worked at the Central European University (CEU), the Research Institute of Computer Science and Automation of the Hungarian Academy of Sciences (SZTAKI), Harvard University, and has taught at the Universitat de Barcelona.

He has been involved in agent-based modeling of complex social systems and artificial intelligence since 1996. He has published 100+ scientific papers and participated in the jury of more than 35 international conferences. In addition to 11 Hungarian R&D grants, he took part in the creation of 7 successful EU research projects. He is a member of the European Society for Social Simulation (ESSA) and the John von Neumann Computer Society (NJSZT, vice president since 2021).

András Benczúr: Embedding dynamic networks in vector spaces on-the-fly

András Benczúr received his Ph.D. in 1997 at the Massachusetts Institute of Technology. He is head of  Informatics Laboratory at the Institute for Computer Science and Control. He is the scientific coordinator the Hungarian Artificial Intelligence National Laboratory, the unified

umbrella of AI research in 11 institutions in Hungary. His main research interests include scalable data management and machine learning in applications covering sensor data, time series, dynamic networks in social media, manufacturing and healthcare.

János Botzheim: Spiking neural networks and their applications

Janos Botzheim’s degrees earned: Budapest University of Technology and Economics: M.Sc. in Technical Informatics (2001), Ph.D. in Computer Engineering (2008). Visiting positions: long-term and short-term visits and scholarships as Ph.D. student at the following Universities: Czech Technical University, Prague, Czech Republic (2002, 1 month); Johannes Kepler University, Linz, Austria (4 months in 2003, 2 months in 2004, 4 months in 2005); Cracow University of Technology, Cracow, Poland (2003, 1 month); The Australian National University, Department of Computer Science, Canberra, Australia (8 months, 2005-2006). He joined the Department of Automation at the Szechenyi Istvan University, Gyor, Hungary in 2007 as a senior lecturer, in 2008 as an assistant professor, and in 2009 as an associate professor. He was a visiting researcher in the Graduate School of System Design at the Tokyo Metropolitan University from September 2010 to March 2011 and from September 2011 to February 2012. He was an associate professor in the Graduate School of System Design at the Tokyo Metropolitan University from April 2012 to March 2017. He was an associate professor in the Department of Mechatronics, Optics and Mechanical Engineering Informatics at Budapest University of Technology and Economics since February 2018 to August 2021. He is the Head of Department of Artificial Intelligence at Eötvös Loránd University, Faculty of Informatics, Budapest, Hungary since September 2021. Research interests: computational intelligence, automatic identification of fuzzy rule based models and some neural networks models, bacterial evolutionary algorithm, memetic algorithms, applications of computational intelligence in robotics, cognitive robotics. Membership in scientific societies: John von Neumann Computer Society, Hungarian Academy of Engineering, Hungarian Fuzzy Association, IEEE, IEEE Computational Intelligence Society, IEEE Robotics and Automation Society, IEEE Systems, Man, and Cybernetics Society, IEEE Computer Society. He has about 180 papers in journals and conference proceedings. The number of his known independent citations is about 560. He has been an invited reviewer of several scientific journals and conferences.