Self-awareness is a broad concept borrowed from cognitive science and psychology that describes the property of a system, which has knowledge of “itself,” based on its own senses and internal models. This knowledge may take different forms, is based on perceptions of both internal and external phenomena, and is essential for being able to anticipate and adapt to unknown situations. Although the level and complexity of self-awareness in a computational context may vary, it serves as the basis towards achieving truly autonomous behaviors. This webinar aims to stimulate discussions about the fundamental principles of self-awareness, its relation to biology and cognitive systems, and the benefit accrued from using these principles for engineering autonomous systems.
Nikil D. Dutt received the Ph.D. degree in computer science from the University of Illinois at Urbana-Champaign, Champaign, IL, USA, in 1989. He is currently a Distinguished Professor of computer science, cognitive sciences, and electrical engineering and computer science (EECS) with the University of California at Irvine, Irvine, CA, USA. He is also a Distinguished Visiting Professor at CSE Department, IIT Bombay, Mumbai, India. He is a coauthor of seven books on topics covering hardware synthesis, memory and computer architecture specification and validation, and on-chip networks. His research interests are in embedded systems, electronic design automation (EDA), computer systems architecture and software, healthcare IoT, and brain-inspired architectures and computing. Dr. Dutt is a Fellow of the ACM. He has received over a dozen best paper awards and nominations at premier EDA and embedded systems conferences. He is a recipient of the IFIP Silver Core Award. He has served as an Editor-in-Chief for the ACM Transactions on Design Automation of Electronic Systems (TODAES) and as an Associate Editor for the ACM Transactions on Embedded Computing Systems (TECS) and the IEEE Transactions on Very Large Scale Integration (VLSI) Systems. He has extensive service on the steering, organizing, and program committees of several premier EDA and Embedded System Design conferences and workshops, and also serves or has served on the advisory boards of ACM SIGBED, ACM SIGDA, ACM TECS, IEEE Embedded Systems Letters (ESL), and the ACM Publications Board.
Walter Kellermann received the Dipl.Ing. (univ.) degree in electrical engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, in 1983, and the Dr.Ing. degree from Technical University Darmstadt, Darmstadt, Germany, in 1988. From 1989 to 1990, he was a Postdoctoral Member of Technical Staff at AT&T Bell Laboratories, Murray Hill, NJ, USA. In 1990, he joined Philips Kommunikations Industrie, Nuremberg, Germany, to work on hands-free communication in cars. From 1993 to 1999, he was a Professor with Fachhochschule Regensburg, Regensburg, Germany, where he also became the Director of the Institute of Applied Research in 1997. In 1999, he co-founded DSP Solutions, Regensburg, Germany, a consulting firm in digital signal processing. He joined FAU as a Professor and the Head of the Audio Research Laboratory. In 2016, he was a Visiting Fellow with Australian National University, Canberra, ACT, Australia. Since 1999, he has been a Professor of communications with FAU. He has authored or coauthored 21 book chapters, and more than 300 refereed articles in journals and conference proceedings. He has authored or coauthored more than 70 patents. His current research interests include speech signal processing, array signal processing, and adaptive and learning algorithms and its applications to acoustic human–machine interfaces. Dr. Kellermann was a member of the IEEE James L. Flanagan Award Committee from 2011 to 2014 and the SPS Board of Governors from 2013 to 2015. He is currently a member of the SPS Nominations and Appointments Committee. He received the Julius von Haast Fellowship by the Royal Society of New Zealand in 2012 and the Group Technical Achievement Award of the European Association for Signal Processing (EURASIP) in 2015. He was a co-recipient of ten best paper awards. He was the General Chair of seven mostly IEEE-sponsored workshops and conferences. He was the Chair of the IEEE SPS Technical Committee for Audio and Acoustic Signal Processing from 2008 to 2010. He served as an Associate Editor and a Guest Editor for various journals, including the IEEE Transactions on Speech and Audio Processing from 2000 to 2004 and the IEEE Signal Processing Magazine in 2015. He also serves as an Associate Editor for the EURASIP Journal on Applied Signal Processing. He served as a Distinguished Lecturer for the IEEE Signal Processing Society (SPS) from 2007 to 2008. He was the Vice President of Technical Directions of the IEEE Signal Processing Society from 2016 to 2018.
Jeffrey L. Krichmar received the B.S. degree in computer science from the University of Massachusetts at Amherst, Amherst, MA, USA, in 1983, the M.S. degree in computer science from The George Washington University, Washington, DC, USA, in 1991, and the Ph.D. degree in computational sciences and informatics from George Mason University, Fairfax, VA, USA, in 1997. Currently, he is a Professor with the Department of Cognitive Sciences and the Department of Computer Science, University of California at Irvine, Irvine, CA, USA. He has nearly 20 years’ experience in designing adaptive algorithms, creating neurobiologically plausible network simulations, and constructing brain-based robots whose behavior is guided by neurobiologically inspired models. His research interests include neurorobotics, embodied cognition, biologically plausible models of learning and memory, neuromorphic applications and tools, and the effect of neural architecture on neural function.
Carlo S. Regazzoni is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy. He has been responsible for several national and EU funded research projects. He is also a coordinator of international Ph.D. course on interactive and cognitive environments involving several European universities. He has been a co-editor of four edited books (Kluwer) on intelligent video surveillance. He is an author/coauthor of more than 100 articles in international scientific journals and more than 300 papers in peer-reviewed international conference proceedings. Dr. Regazzoni served as the General Chair for several conferences and an Associate Editor and a Guest Editor for many international technical journals. He served in many roles within the governance bodies of the IEEE Signal Processing Society (SPS), being the IEEE SPS Vice President Conferences from 2015 to 2017. He has been an Associate Editor of several international journals, including the IEEE Transactions on Circuits and Systems for Video Technology, the IEEE Transactions on Image Processing, IEEE Signal Processing Letters, and others. He has been a Guest Editor of special issues in international journals, including the Proceedings of the IEEE, the IEEE Signal Processing Magazine, and others.Bernhard Rinner received both the M.Sc. and Ph.D. degrees in telematics from Graz University of Technology in 1993 and 1996, respectively. Currently, he is Full Professor at the University of Klagenfurt where he heads the Pervasive Computing group. Before joining the University of Klagenfurt in 2007, he was with Graz University of Technology and held research positions at the Department of Computer Sciences at the University of Texas at Austin in 1995 and 1998/1999. His current research interests include sensor networks, multirobot systems, self-organization, and pervasive computing. He has authored and coauthored more than 230 papers in journals, conferences, and workshops. Dr. Bernhard Rinner is an Associate Editor of the Ad Hoc Networks Journal and has coedited a book Self-Aware Computing Systems. He has cofounded the ACM/IEEE International Conference on Distributed Smart Cameras and has served as a Guest Editor of various special issues, e.g., in the Proceedings of the IEEE, IEEE Computer, and the Journal of IEEE Journal of Selected Topics in Signal Processing. Together with partners from four European universities, he has jointly initiated the Erasmus Mundus Joint Doctorate Program on Interactive and Cognitive Environments (ICE). He is Chair of the doctoral advisory board of the Faculty of Technical Sciences and member of the board of the Austrian Science Fund.
Xin Yao received the B.Sc. degree from the University of Science and Technology of China (USTC), Hefei, China, in 1982, the M.Sc. degree from the North China Institute of Computing Technologies, Beijing, China, in 1985, and the Ph.D. degree from USTC in 1990. He is currently a Chair Professor of computer science with the Southern University of Science and Technology (SUSTech), Shenzhen, China, and a part-time Professor of computer science with the University of Birmingham, Birmingham, U.K. His current research interests include evolutionary computation, machine learning, and their real-world applications, especially to software engineering. Dr. Yao was a recipient of the prestigious Royal Society Wolfson Research Merit Award in 2012, the IEEE Computational Intelligence Society (CIS) Evolutionary Computation Pioneer Award in 2013, and the IEEE Frank Rosenblatt Award in 2020. His work won the 2001 IEEE Donald G. Fink Prize Paper Award, the 2010, 2016, and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards, the 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other best paper awards. He was the President of IEEE CIS from 2014 to 2015 and the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation from 2003 to 2008. He was a Distinguished Lecturer of IEEE CIS.