INCC 2027 has four plenary speakers and eight invited speakers. Between them they cover memristive and ferroelectric devices, spintronics and magneto-ionics, organic electronics, learning algorithms, neuromorphic sensing and robotics, and bio-hybrid systems.
Plenary speakers
- Prof. Elisabetta Chicca (University of Groningen): Decoding Brain Plasticity in Silicon. Leads the Bio-Inspired Circuits and Systems group; works on CMOS models of cortical circuits, spiking neural networks and memristive systems.
- Prof. Emre Neftci (Forschungszentrum Jülich / RWTH Aachen): Brain Inspiration in the Era of Foundational AI Models. Institute director at Jülich; develops learning algorithms for neuromorphic and non-von Neumann hardware.
- Prof. J. Joshua Yang (University of Southern California): Memristors and Selectors for Neuromorphic Computing in Extreme Environments. Arthur B. Freeman Chair Professor of Electrical and Computer Engineering; works on post-CMOS hardware for neuromorphic computing and AI.
- Prof. Gina C. Adam (George Washington University): Memristive Technologies for Brain-inspired Computing. Associate Professor of Electrical and Computer Engineering; develops emerging non-volatile memory devices and neuro-inspired hardware.
Invited speakers
- Dmitri Strukov (University of California, Santa Barbara): Kolmogorov-Arnold Networks with NOR Flash Memories
- Chiara Bartolozzi (Istituto Italiano di Tecnologia): Unconventional Robots: Neuromorphic Sensing and Beyond
- Julie Grollier (CNRS): In-Memory Radio-Frequency Neural Networks with Spintronics
- José P. B. Silva (Centre of Physics of the Universities of Minho and Porto): Ferroelectric HfO₂/ZrO₂ Devices: From Neuromorphic Computing to Autonomous and Intelligent Sensors
- Jordi Sort (Autonomous University of Barcelona): Magneto-ionics: Fundamentals, Materials and Advanced Memory Concepts
- Paschalis Gkoupidenis (North Carolina State University): Organic Neuromorphic Electronics
- Richard Naud (University of Ottawa): Advanced Burstprop: Brain-Inspired Backward-Pass Energy Efficiency
- Timothée Levi (University of Bordeaux): Biomimetic SNN and Real-Time Closed-Loop Bio-Hybrid Systems: Design of a Neuromorphic Twin
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