Tue
09
Jun
Seminars and Conferences
Intelligent Memristive Circuits for Bioengineering Applications
9 June 2026 at 2.00 pm, Politecnico di Torino will host the seminar “Intelligent Memristive Circuits for Bioengineering Applications”, delivered by Ioannis K. Chatzipaschalis, a visiting Ph.D. student from the Universitat Politècnica de Catalunya (UPC), within the framework of the European project GreenChips-EDU.
The initiative is organized in collaboration with IEEE Student Branch PoliTO and will focus on the potential of memristive circuits for bioengineering applications and neuromorphic computing.
Abstract
Integrating nonlinear device physics with biologically inspired computation, memristive systems offer a unifying framework for sensing, adaptation and intelligent decision-making directly in hardware. Their intrinsic memory and dynamic behavior enable compact implementations of reservoir computing, adaptive control and real-time signal processing with significantly reduced energy consumption compared to conventional von Neumann architectures. Such properties make memristive technologies particularly attractive for next-generation biomedical and autonomous systems, where continuous learning, low latency and edge intelligence are essential. Ultimately, this work highlights the broader vision of memristive electronics as a bridge between physical dynamics and cognitive functionality, paving the way toward scalable neuromorphic platforms capable of interacting with complex real-world environments in an efficient and biologically plausible manner.
Biography
Ioannis K. Chatzipaschalis received his M.Eng. degree with honors as valedictorian in Electrical and Computer Engineering (ECE) from the Democritus University of Thrace (DUTH), Xanthi, Greece, in 2022. Currently, he is pursuing his Ph.D. degree in ECE from DUTH, Xanthi, Greece, and in Electronics Engineering from Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in the area of nanoelectronic computing circuits with learning features, under the co-supervision of Prof. Rubio and Prof. Sirakoulis. He has published more than 25 scientific papers in peer-reviewed journals and conferences, while has been involved in the writing of two book chapters. His research interests include neuromorphic, bio-inspired and emerging circuits, unconventional computing and bioengineering.
The initiative is organized in collaboration with IEEE Student Branch PoliTO and will focus on the potential of memristive circuits for bioengineering applications and neuromorphic computing.
Abstract
Integrating nonlinear device physics with biologically inspired computation, memristive systems offer a unifying framework for sensing, adaptation and intelligent decision-making directly in hardware. Their intrinsic memory and dynamic behavior enable compact implementations of reservoir computing, adaptive control and real-time signal processing with significantly reduced energy consumption compared to conventional von Neumann architectures. Such properties make memristive technologies particularly attractive for next-generation biomedical and autonomous systems, where continuous learning, low latency and edge intelligence are essential. Ultimately, this work highlights the broader vision of memristive electronics as a bridge between physical dynamics and cognitive functionality, paving the way toward scalable neuromorphic platforms capable of interacting with complex real-world environments in an efficient and biologically plausible manner.
Biography
Ioannis K. Chatzipaschalis received his M.Eng. degree with honors as valedictorian in Electrical and Computer Engineering (ECE) from the Democritus University of Thrace (DUTH), Xanthi, Greece, in 2022. Currently, he is pursuing his Ph.D. degree in ECE from DUTH, Xanthi, Greece, and in Electronics Engineering from Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in the area of nanoelectronic computing circuits with learning features, under the co-supervision of Prof. Rubio and Prof. Sirakoulis. He has published more than 25 scientific papers in peer-reviewed journals and conferences, while has been involved in the writing of two book chapters. His research interests include neuromorphic, bio-inspired and emerging circuits, unconventional computing and bioengineering.