Sander M. Bohté
Prof. Dr. Sander M. Bohté is a senior researcher and PI in the CWI Machine Learning group, and also a part-time full professor of Cognitive Computational Neuroscience at the University of Amsterdam and a part-time full professor of Bio-Inspired Neural Networks at the Rijksuniversiteit Groningen, The Netherlands. He received his PhD in 2003 at CWI on the topic of “Spiking Neural Networks”. He was then awarded an NWO TALENT grant, which he spent with Michael Mozer at the University of Colorado in Boulder. In 2004, he rejoined CWI as junior permanent staff to work on distributed spiking neural network models and multi-agent systems. In 2016, he co-founded the CWI Machine Learning group, where his research bridges the field of neuroscience with applications thereof as advanced neural networks. His work has been pioneering in the development of advanced and efficient spiking neural networks, including seminar work on supervised learning with spike-time coded networks. Recent work has also developed biologically plausible deep learning and deep reinforcement learning models for cognition, and spiking neural network versions thereof. For many years, he has been an associate editor for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and has also been a guest editor for such journals as Natural Computing, Neural Processing Letters, and Frontiers in Computational Neuroscience.
Prof. Akira Hirose is Professor with the Department of Electrical Engineering and Information Systems, The University of Tokyo. He received his Ph.D. degree in electronic engineering from The University of Tokyo in 1991. His current research interests include wireless electronics and neural networks.
He served as Founding President for Asia Pacific Neural Network Society in 2016, President for JNNS from 2013 to 2015, Vice President for IEICE Electronics Society from 2013 to 2015. He was the General Chair of the 2013 Asia-Pacific Conference on Synthetic Aperture Radar, Tsukuba, the 2016 International Conference on Neural Information Processing, Kyoto, and the 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama. Currently he serves as the Chair for Complex-Valued Neural Network Task Force in IEEE Computational Intelligence Society Neural Network Technical Committee. He was the Editor-in-Chief of IEICE Transactions on Electronics from 2011 to 2012, and Associate Editor of journals such as the IEEE TRANSACTIONS ON NEURAL NETWORKS from 2009 to 2011 and the IEEE GEOSCIENCE AND REMOTE SENSING NEWSLETTER from 2009 to 2012. He is currently Associate Editor of IEICE ELEX (2020-) and IEEE TRANSACTIONS ON NEURAL NETWORKS AND LERNING SYSTEMS (2019-).
He is a Fellow of The IEEE and The Institute of Electronics, Information and Communication Engineers (IEICE), and a member of Japanese Neural Network Society (JNNS) and Asia-Pacific Neural Network Society (APNNS).
Gert Cauwenberghs is Professor of Bioengineering and Co-Director of the Institute for Neural Computation at UC San Diego, La Jolla CA. He received the Ph.D. degree in Electrical Engineering from California Institute of Technology, Pasadena in 1994, and was previously Professor of Electrical and Computer Engineering at Johns Hopkins University, Baltimore, MD, and Visiting Professor of Brain and Cognitive Science at Massachusetts Institute of Technology, Cambridge. He co-founded Cognionics Inc. and chairs its Scientific Advisory Board. His research focuses on micropower biomedical instrumentation, neuron-silicon and brain-machine interfaces, neuromorphic engineering, and adaptive intelligent systems. He received the NSF Career Award in 1997, ONR Young Investigator Award in 1999, and Presidential Early Career Award for Scientists and Engineers in 2000. He was a Francqui Fellow of the Belgian American Educational Foundation, and is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and the American Institute for Medical and Biological Engineering. He served IEEE in a variety of roles including as Distinguished Lecturer of the IEEE Circuits and Systems Society, as General Chair of the IEEE Biomedical Circuits and Systems Conference (BioCAS 2011, San Diego), as Program Chair of the IEEE Engineering in Medicine and Biology Conference (EMBC 2012, San Diego), and as Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems.
Duygu Kuzum received her Ph.D in Electrical Engineering from Stanford University in 2010. She is currently an Associate Professor in Electrical and Computer Engineering Department at University of California, San Diego. Her research focuses on applying innovations in nanoelectronics to develop new technologies, which will help to better understand circuit-level computation in the brain. She develops nanoelectronic synaptic devices for energy-efficient neuro-inspired computing. She is the author or coauthor of over 50 journal and conference papers. She was a recipient of a number of awards, including Texas Instruments Fellowship and Intel Foundation Fellowship, Penn Neuroscience Pilot Innovative Research Award (2014), Innovators under 35 (TR35) by MIT Technology Review (2014), ONR Young Investigator Award (2016), IEEE Nanotechnology Council Young Investigator Award (2017), NSF Career Award (2018), and NIH NIBIB Trailblazer Award (2018).