International Summer School on Companion Technology

Lecturers

 

   
Susanne Biundo-Stephan - Institute of Artificial Intelligent (Ulm University)
Introduction to Companion-Technology
Susanne Biundo is Professor of Computer Science at Ulm University and Director of the Institute of Artificial Intelligence. She is Chair of the Transregional Collaborative Research Centre "Companion-Technology for Cognitive Technical Systems“. Here, more than eighty researchers work in close trans-disciplinary co-operation to investigate cognitive abilities of biological and artificial systems with a focus on the implementation of these abilities in technical systems. Susanne Biundo is Co-Chair of the Technical Committee on Companion Technology of the IEEE Systems, Man, and Cybernetics Society. She was a founding member of the Executive Council of ICAPS, the International Conference on Automated Planning and Scheduling, where she served from 2002 to 2008. She was the initiator and coordinator of PLANET, the "European Network of Excellence in AI Planning", which she led from 1998 to 2003. In 2004, she was elected ECCAI Fellow. Susanne Biundo acted as Conference- and Program Co-chair of various international AI conferences and served on numerous editorial and review boards. Her main research interests are in AI Planning, Knowledge Modeling, and Cognitive Systems.
   
Peter Galambos - Antal Bejczy Center for Intelligent Robotics (Obuda University)
Human-centered Robotics and Cyber Physical Control
Peter Galambos received his M.Sc. and Ph.D. degrees in mechanical engineering from the Budapest University of Technology and Economics (BME) in 2006 and 2013 respectively. He was a Research Intern at the Toshiba Corporate Research and Development Center from 2007 to 2008, then joined to the Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA-SZTAKI), where between 2010 and 2012, he held a “Young Researcher” Scholarship of the Hungarian Academy of Sciences. From 2011 to the end of 2015 he served as a team leader in MTA SZTAKI and coordinated the development of the VirCA VR framework and its research applications. He has joined to the Óbuda University in 2013 where he participates in robotics-related R&D activities and education. He is currently the director of the Antal Bejczy Center for Intelligent Robotics (Óbuda University, Budapest, Hungary). His current research interest includes Cyber Physical Control, Time-delayed feedback systems, Modern industrial robot applications and Virtual Reality-based collaboration.
   
Sascha Meudt - Institute of Neural Information Processing (Ulm University)
Data Analysis and Machine Learning for Multimodal Affect Recognition
Sascha Meudt received his diploma degree in computer science from the University of Ulm. He is a PhD student in the final year at the Institute of Neural Information Processing at Ulm University. He is working in the field of machine learning. His main research interests include affective computing, multimodal affect recognition, pattern recognition, partially supervised learning, (semi-) automatic annotation and active learning. He is the main author of the multi modal annotation tool ATLAS. Currently, he is a member of the Transregional Collaborative Research Project (SFB-TRR62) „A Companion-Technology for Cognitive Technical Systems“ and PhD student speaker of the integrated graduate school of the SFB-TRR62.
   
Günther Palm - Institute of Neural Information Processing (Ulm University)
Data Analysis and Machine Learning for Multimodal Affect Recognition
Günther Palm began his studies of mathematics at the University of Hamburg and graduated at the Eberhard-Karls-University of Tübingen with a PhD thesis on “Entropie und Generatoren in dynamischen Verbänden“ supervised by Prof. Dr. Rainer Nagel in 1975. He then worked as a research assistant at the Max Planck Institute for Biological Cybernetics, Tübingen, on topics of quantitative neuroanatomy, information theory, nonlinear systems theory, associative memory and brain theory from 1975 to 1988. During that time he spent one year (1983/1984) in Berlin as a fellow of the Wissenschaftskolleg. In 1988 he became professor for theoretical brain research at the University of Düsseldorf. Since 1991 he is director of the Institute of Neural Information Processing at Ulm University. Professor Palm's research focus is on information theory, neural networks, associative memory, and specifically on Hebbian cell assemblies. By 2015, he has published more than 300 peer-reviewed articles in international journals, 60 invited contributions, and (co-)edited 8 books. He is author of the monographs “Neural Assemblies. An Alternative Approach to Artificial Intelligence” (1982), and “Novelty, Information and Surprise” (2012).
   
Axel Platz - Corporate Technology (Siemens AG)
AI is the new UI
Axel Platz is Principal for User Experience Design in the Siemens AG corporate research division in Munich. His main research interests are firstly the future of work and thereby the interplay between humans and technology when humans work with technical artifacts, and secondly visual studies. His design work has received distinctions including the iF Award.
   
Andreas Schulz - Department of Systems Physiology of Learning (Leibniz Institute for Neurobiology)
Reversal Learning and strategy change in biological systems
Andreas Schulz received his diploma degree in physics and his Ph.D. degree about nonlinear neural coding in the auditory cortex at the Otto-von-Guericke university and Leibniz Institute for Neurobiology Magdeburg in 1996 and 2009 respectively. From 2000-2001 he worked as software engineer in a company for SQL databases and from 2001-2003 he joined the Fraunhofer Institute IFF in Magdeburg working on real time scheduling problems. From 2003-2007 he worked as a Postdoc in the Auditory Neuroscience group at Oxford University about neural coding of sound source positions in the auditory cortex. Since 2008 he is a research staff member at the Leibniz Institute in Magdeburg in the department of Systems Physiology of Learning. His main research interests are now neural coding of learning, behaviour and decision making, particularly in the auditory system of the brain.
   
Friedhelm Schwenker - Institute of Neural Information Processing (Ulm University)
Data Analysis and Machine Learning for Multimodal Affect Recognition
Friedhelm Schwenker received his diplom degree and PhD degree in mathematics from the University of Osnabrück, and the veni legendi (Habilitation) in computer science from Ulm University. He was a postdoc at the Vogt-Institute for Brain Research at the Heinrich Heine University Düsseldorf, and since 1992 he is a researcher and senior lecturer at the Institute of Neural Information Processing at Ulm University. Currently, he is the founder and chair of the Technical Committee 9 on Pattern Recognition in Human Computer Interaction of the International Association for Pattern Recognition (IAPR). From 2006 to 2014 was chair and vice-chair of the IAPR TC 3 on Neural Networks and Computational Intelligence, and from 2014-2016 he was a vice-chair of the TC on Data Mining and Big Data Analytics of the IEEE Computational Intelligence Society. He co-chaired of the IEEE CIDM 2015, 2016, and 2017 symposia, and co-organized the IAPR stand-alone workshops ANNPR 2006 - 2016, IAPR PSL 2011 and 2013, IAPR MCS 2015, and the ICPR workshops „Multimodal Pattern Recognition of Multimodal Signals“ 2012, 2014 and 2016. He is the co-editor of 12 LNCS/LNAI volumes, two special issues of the Pattern Recognition Letters Journal, and co-authored over 200 peer-reviewed papers in international journals and conferences, and is Associate Editor of IEEE Transactions on Affective Computing, Plose One, and Computational Statistics. His main research interests include affective computing, data mining, information fusion, neural networks, machine learning, multimodal affect recognition, pattern recognition, statistical learning theory.
   
Adrian Stoica - Jet Propulsion Laboratorium (NASA and California Institute of Technology)
Trends in applications of companion technology to space exploration
Adrian has thirty years of R&D experience in autonomous systems, developing novel adaptive and learning techniques and embedding them into electronics and intelligent information systems, for applications ranging from measurement equipment to space avionics to robotics. He has done pioneering work in humanoid robot learning by imitation, shape-changing robots, hardware security,, brain-computer interfaces including multi-brain fusion for joint decision making, shadow biometrics, human-oriented robotics. He is a Vice-President (Membership and Student Activities of IEEE Systems, Man, and Cybernetics Society) . He founded 3 conferences: NASA/ESA Conference on Adaptive Hardware and Systems (AHS, since 1999), Emerging Security Technologies (since 2006) and the AT-EQUAL series (Advanced Technologies for Enhanced Quality of Life) which included the HUMASCEND conference (Human-Machine Systems, Cyborgs and Enhancing Devices 2011-2014).He is a NASA Innovative Advanced Concepts (NIAC) Fellow since 2013.
   
Dennis Wolf - Institute for Media Research and Media Development (Ulm University)
Multi-Modal Interaction with Virtual Environments
Dennis Wolf received his M.Sc. in media informatics from the University of Ulm. Currently, he is with the Human-Computer-Interaction group at the Institute of Media Informatics at Ulm University. His main research interests are novel input- and output-concepts for virtual and augmented reality systems. In 2016, Dennis Wolf spend 3 months working in the Intelligent Interactive Systems Group at Cambridge University, UK, under the supervision of Dr. Per Ola Kristensson. The resulting cooperation between the research groups is still ongoing.