This symposium is focused on emerging neuromorphic devices in which light acts as the primary stimulus to emulate synaptic behavior. Rather than the conventional electrical stimulation, we explore systems that use photonic, optoelectronic, or photovoltaic effects to mimic visual learning, memory, and basic signal processing functions.
The scope includes various material systems (like inorganic materials, organic materials, perovskites, 2D materials) and device architectures (such as photodiodes, phototransistors, photoconductor), with applications ranging from low-power edge computing to artificial vision systems.
- Light-stimulated artificial synapses and memory elements
- Photonic neuromorphic computing and optical signal processi
- Phototransistors, photodiodes, and photoresponsive heterostructures with synaptic behavior
- Thin-film materials for optoelectronic synapses (perovskites, chalcogenides, 2D materials, etc.)
- Charge trapping, retention, and plasticity under optical excitation
- Bio-inspired optoelectronic systems and artificial retina
- Device modeling and simulation of optically-triggered synaptic functions
- Energy-efficient neuromorphic devices leveraging light stimuli
- Integration of photonic synapses into larger neuromorphic architectures
Prof. Jung-Yao Chen received her Ph. D. in Chemical Engineering from National Taiwan University under the supervision of Prof. Wen-Chang Chen in 2016. She joined Prof. Alex Jen's research team at University of Washington in 2015. Currently, she is the Associate Professor in Dept. of Photonics of National Cheng Kung University. Her research interests are the process design, morphology analysis and optoelectronic applications of photoactive material including conjugated polymer, phosphorescent material and perovskite. Recently, Prof. Jung-Yao Chen's research activity is focused on the developement of non-volatile photomemory on artificial synapses and photonic integrated circuits. The main objective is to explore the mechanisms behind the photo-recording functionality and develope ultrafast responsive photomemory with multi-level memory behavior.
Zacharie Jehl is a French scientist specializing in semiconductors, solid-state physics, photovoltaics, and optoelectronics. He holds a PhD in Physics from Paris-Saclay University and has extensive international experience, having worked in France, Japan, and Spain. Currently, he is a tenure-track professor at the Polytechnic University of Catalonia (UPC), where he leads research on photovoltaic materials, low-dimensional semiconductors, and artificial synapses for neuromorphic computing. He has authored over 85 peer-reviewed publications, holds several patents, and has received prestigious grants, including the Ramon y Cajal and Marie Curie fellowships. Dr. Jehl is also the coordinator of the SOLIS European Project and actively collaborates with international research institutions.