Toward Intelligent Closed-Loop Bioelectronic Systems: Bridging Circuits, Intelligence, and Biology

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The next generation of biomedical technologies will move beyond passive monitoring toward systems capable of interacting intelligently with the human body. This talk explores how integrated circuits are at the core of this transformation, enabling a new class of bioelectronic systems that can sense, interpret, and act in real time.

We present a unified research vision spanning neurotechnology, intelligent prosthetics, physiological sensing, and wireless systems. At the heart of this work is the development of closed-loop platforms that combine neural recording, embedded machine learning, and targeted actuation, illustrated through applications such as optogenetic spinal implants for chronic pain modulation and high-resolution interfaces for intuitive prosthetic control.

These systems rely on advances across multiple layers, including ultra-low-power sensing circuits, on-device intelligence, and energy-efficient RF communication. By tightly integrating these components, it becomes possible to move from data acquisition to adaptive intervention, enabling precise and personalized therapies.

Ultimately, this convergence of circuits, systems, and biology is redefining how we interact with living systems, opening the door to intelligent biomedical technologies that can restore function, enhance autonomy, and transform patient care.



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  • 351 cours de la Libération
  • Talence, Aquitaine
  • France 33400
  • Building: IMS Laboratory
  • Room Number: Lecture hall JP DOM

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  Speakers

Benoit Gosselin of University of Laval

Topic:

Toward Intelligent Closed-Loop Bioelectronic Systems: Bridging Circuits, Intelligence, and Biology

The next generation of biomedical technologies will move beyond passive monitoring toward systems capable of interacting intelligently with the human body. This talk explores how integrated circuits are at the core of this transformation, enabling a new class of bioelectronic systems that can sense, interpret, and act in real time.

We present a unified research vision spanning neurotechnology, intelligent prosthetics, physiological sensing, and wireless systems. At the heart of this work is the development of closed-loop platforms that combine neural recording, embedded machine learning, and targeted actuation, illustrated through applications such as optogenetic spinal implants for chronic pain modulation and high-resolution interfaces for intuitive prosthetic control.

These systems rely on advances across multiple layers, including ultra-low-power sensing circuits, on-device intelligence, and energy-efficient RF communication. By tightly integrating these components, it becomes possible to move from data acquisition to adaptive intervention, enabling precise and personalized therapies.

Ultimately, this convergence of circuits, systems, and biology is redefining how we interact with living systems, opening the door to intelligent biomedical technologies that can restore function, enhance autonomy, and transform patient care.

Biography:

Benoit Gosselin earned his Ph.D. in electrical engineering from École Polytechnique de Montréal, Montreal, QC, Canada, in 2009. He was an NSERC postdoctoral fellow at the Georgia Institute of Technology, Atlanta, GA, United States, in 2010. He is currently a full professor in the Department of Electrical and Computer Engineering at Laval University, Quebec City, QC, Canada, where he holds a Canada Research Chair in Intelligent Biomedical Microsystems. His research focuses on the development of smart healthcare systems and innovative tools for neuroscience.

Professor Gosselin has led major research initiatives aimed at developing cutting-edge technologies to improve therapeutic approaches to neurodegenerative diseases, particularly by enabling detailed observation of brain dynamics in live animal models. His innovations integrate optogenetics, electrophysiology, fiber-optic photometry, and spectroscopy into miniaturized instrumental platforms. Another focus of his work involves the development of smart controllers for hand prostheses based on high-density electromyography detection, powered by data-driven artificial intelligence.

Professor Gosselin is a Fellow of the Canadian Academy of Engineering and has received several major awards, including the NSERC Brockhouse Canada Prize, the OIQ Engineering Innovation Award, and the First Prize for Best Paper (2022) from the IEEE Engineering in Medicine and Biology Society. He is the founder and president of the IEEE CAS/EMB Quebec Joint Chapter and has served on the organizing committees of numerous IEEE international conferences, including NEWCAS (General Chair, 2022; Technical Program Chair, 2019, 2021), EMBC (Program Chair, 2020), BioCAS, and ISCAS. He also serves as an associate editor for IEEE Transactions on Biomedical Engineering (2025–present) and IEEE Sensors Journal (2022–present), and previously served as an associate editor for IEEE Transactions on Biomedical Circuits and Systems (2016–2023).

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