List of Speakers & Topics

Frédéric Boyer, IMT Atlantique, France. Electrosense.

Prof. Frédéric Boyer is with the Department of Automatic Control, IMT-Atlantique, Nantes, France, and the Laboratoire des Sciences du Numérique de Nantes (LS2N). His current research interests include bio-inspired locomotion and underwater electric sensing. Dr. Boyer received the Monpetit Prize from the Academy of Science of Paris in 2007 for his work in dynamics and the French "La Recherche Prize” in 2014, for his works on artificial electric sense. He has coordinated several national projects and one European FP7-FET project on a reconfigurable eel-like robot able to navigate with electric sense.

Achim J. Lilienthal, Örebro University, Sweeden. Robot olfaction.

Achim J. Lilienthal is full professor of Computer Science at Örebro University where he leads the Mobile Robotics and Olfaction (MRO) Lab. His core research interests are in perception systems in unconstrained, dynamic environments. Typically based on approaches that leverage domain knowledge and Artificial Intelligence, his research work addresses mobile robot olfaction, rich 3D perception, navigation of autonomous transport robots, human robot interaction and mathematics education research. Achim J. Lilienthal obtained his Ph.D. in computer science from Tübingen University. His Ph.D. thesis addresses gas distribution mapping and gas source localisation with mobile robots. Achim J. Lilienthal has co-authored more than 250 refereed conference papers and journal articles and is a senior member of IEEE.

Shih-Chii Liu, Institute of Neuroinformatics, University of Zurich and ETH, Switzerland.

Prof. Shih-Chii Liu co-leads the Sensors group at the Institute of Neuroinformatics, University of Zurich and ETH Zurich. After her undergraduate studies, she worked in Silicon Valley before getting a PhD degree in the Computation and Neural Systems program from Caltech. Her group works on design of low-power neuromorphic auditory and vision sensors, VLSI event-driven bio-inspired processing circuits, and more recently on event-driven deep neural networks and the use of these networks in neuromorphic artificial intelligent systems.

Prof. Liu is current Chair of the IEEE Swiss CAS/ED Society and general co-chair of the 2020 IEEE Artificial Intelligence for Circuits and Systems conference.

Piotr Dudek. The University of Manchester, UK.

Piotr Dudek is a Professor of Circuits and Systems in the School of EEE, the University of Manchester. His expertise is in mixed-signal VLSI chip design, and his main research interest are in neuromorphic and brain-inspired electronics, fine-grain massively parallel computer architectures, cellular processor arrays and vision systems. He has been researching and developing vision sensors, with processing circuits closely integrated within the pixel arrays for over 20 years.

Davide Migliore, Prophesee, France. Event Cameras.

Davide Migliore is senior computer vision engineer at Prophesee. He received his Ph.D. (2009) from the Department of Electronics and Information of the Politecnico di Milano funded by a scholarship sponsored by the Italian Institute of Technology (IIT). Davide held a postdoc with Prof. Schmidhuber at IDSIA where he worked on computer vision for humanoid robots. He was also a member of the team of Evidence Srl, the first company that proposed a certified open-source real-time operating system for applications in the automotive and automation industries.

In 2016 Davide started a collaboration with Prophesee working on new algorithms for event-based sensors. He contributed to the creation of the first product dedicated to industrial automation and participated in the development of event-based SLAM solutions. At Prophesee Davide acts as liaison with universities and research laboratories contributing to the growth of the neuromorphic computer vision community.

Michael Schmuker, University of Hertfordshire, UK. Robot olfaction.

Dr Michael Schmuker is Reader in Data Science at the University of Hertfordshire, UK. He obtained a Diploma/MSc in Biology (specialisation computational Neuroscience) from Freiburg University, Germany. For his PhD in Chemistry, he translated processing strategies observed in the olfactory system into algorithms for navigating chemical space and drug discovery. Michael pioneered olfaction-inspired neuromorphic computing during postdoctoral and group leader stints at the Center for Computational Neuroscience and Freie Universität Berlin. In 2014 he took up a Marie-Curie Fellowship at the University of Sussex on neuromorphic olfaction, before joining the Computer Science Department at University of Hertfordshire in 2016.

His current research interests are event-based signal processing, inference and control for gas-based navigation, and deep learning in chemical space for fragrance and aroma research.

Chiara Bartolozzi, Italian Institute of Technology, Italy.

Chiara Bartolozzi holds an M.Eng. by the University of Genova (Italy) and a Ph.D. in Neuroinformatics by ETH Zurich. Currently, she is with the Italian Institute of Technology where she leads the Neuromorphic Systems and Interfaces group, with the aim of applying the neuromorphic engineering approach to the design of robotic platforms as enabling technology towards the design of autonomous machines. Her research focuses on the emerging concept of Event-Driven (ED) sensing and processing.

Takumi Kawasetsu, The University of Tokyo, Japan.

Takumi Kawasetsu received a Ph.D. degree from the Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Japan. He is currently a Project Assistant Professor with the Graduate School of Information Science and Technology, The University of Tokyo. He is also a Visiting Researcher with the Graduate School of Engineering and the Institute for Open and Transdisciplinary Research Initiatives, Osaka University. His research interests include tactile sensors, tactile information processing, visual information processing in biological systems, and spiking neural networks.

Shuhei Ikemoto, Kyushu Institute of Technology, Japan.

Shuhei Ikemoto received his Ph.D. degree in engineering from Osaka University in March 2010. He had been an assistant professor in Osaka University from April 2010 to March 2019 and is now an associate professor in Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology since April 2019. His research interests include biologically inspired robots and algorithms, machine learning, and physical human-robot interaction.