IEM Seminar: Unconventional microelectronic systems: biomedical, neuromorphic systems challenges and prospects

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Event details

Date 28.01.2022
Hour 13:1514:15
Speaker Alexandre Schmid
Location Online
Category Conferences - Seminars
Event Language English
Abstract:
Micro and nano-electronic systems integration follows a classical route as prescribed from empirical scaling laws which is the enabler of modern ubiquitous consumer, scientific and industrial applications driven by classical processor architectures and systematic down-scaling of analog functions. The design of unconventional microelectronic systems aims at satisfying increased demands in terms of computational efficiency by adopting alternate, nature-inspired and unconventional processing methods or integration techniques considered at various levels of the implementation and abstraction levels.
This seminar presents research carried out at the EPFL SCI-STI-AXS along the lines of biomedical implantable electronic medical devices (IEMDs) as well as neuromorphic and robust systems. A three-layer cortically implantable system aiming at the control of neurological disorders is presented with emphasis on selected circuit and systems developments aiming at efficient data acquisition in multi-channel configuration, seizure detection using AI hardware and electrical stimulation. Some examples of neuromorphic developments as well as robust circuit and systems are presented. Future edge of computing systems are expected to benefit from the joint application of these technologies and approaches, specifically in the domain of bio-medical autonomous systems used in personalized medicine.

Alexandre Schmid (Senior Member, IEEE) received the M.Sc. degree in microengineering and the Ph.D. degree in electrical engineering from the Swiss Federal Institute of Technology (EPFL) in 1994 and 2000, respectively. He has been with EPFL since 1994 and has been conducting research in the fields of bioelectronic interfaces, biomedical and implantable microelectronics, non-conventional signal processing (machine learning, AI) and neuromorphic hardware, and reliability of nanoelectronic circuits. Since 2011, he has been a “Maître d’Enseignement et de Recherche” (MER) Faculty Member of EPFL. He is a coauthor and co-editor of five books, and over 150 articles published in journals and conferences. He has served as the General Chair for the Fourth International Conference on Nano-Networks in 2009, and as an Associate Editor for the IEICE Electronics Express (2009-2014).

Practical information

  • General public
  • Free

Organizer

  • Electrical and Microengineering Institute (IEM)  

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