About Dayanand Kumar Dayanand Kumar Research Scientist, Electrical and Computer Engineering Dayanand Kumar is a Research Scientist focusing on 3D channel-all-around (CAA) transistors, 3D vertical optoelectronics memristors, neuromorphic computing, and AI hardware, with an emphasis on developing energy-efficient devices that integrate sensing, memory, and computation for next-generation edge artificial intelligence, intelligent robotics, wearable healthcare, and machine vision. Events Presented Events Mar 1 - Mar 7, 2026 From Edge to Intelligence: Light-Driven Synaptic Devices for Adaptive Healthcare and Vision Systems Dayanand Kumar, Research Scientist, Electrical and Computer Engineering Mar 1, 12:00 - 13:00 B9 L2 R2325 optoelectronic devices light-driven synaptic devices neuromorphic electronics edge computing This talk presents a flexible, back-end-of-line compatible optoelectronic synapse developed for neuromorphic edge computing. Mar 31 - Apr 6, 2024 Multifunctional memory devices and their applications in neuromorphic computing Dayanand Kumar, Research Scientist, Electrical and Computer Engineering Mar 31, 12:00 - 13:00 B9 L2 H2 smart memory devices neuromorphic computing The traditional trajectory of electronic device scaling, guided by Moore's law, is currently encountering physical limitations. To address this, the "More-than-Moore" (MtM) trend has emerged, emphasizing the diversification of device functionalities to include sensing, storing, and processing data. Apr 16 - Apr 22, 2023 Smart Non-volatile Memory Devices that can Sense and Compute Dayanand Kumar, Research Scientist, Electrical and Computer Engineering Apr 16, 12:00 - 13:00 B9 L2 H2 Smart non volatile memory devices Being renowned for operating with visible light pulses and electrical signals, optoelectronic smart non-volatile memory devices have excellent potential for neuromorphic computing systems and artificial visual information processing.
From Edge to Intelligence: Light-Driven Synaptic Devices for Adaptive Healthcare and Vision Systems Dayanand Kumar, Research Scientist, Electrical and Computer Engineering Mar 1, 12:00 - 13:00 B9 L2 R2325 optoelectronic devices light-driven synaptic devices neuromorphic electronics edge computing This talk presents a flexible, back-end-of-line compatible optoelectronic synapse developed for neuromorphic edge computing.
Multifunctional memory devices and their applications in neuromorphic computing Dayanand Kumar, Research Scientist, Electrical and Computer Engineering Mar 31, 12:00 - 13:00 B9 L2 H2 smart memory devices neuromorphic computing The traditional trajectory of electronic device scaling, guided by Moore's law, is currently encountering physical limitations. To address this, the "More-than-Moore" (MtM) trend has emerged, emphasizing the diversification of device functionalities to include sensing, storing, and processing data.
Smart Non-volatile Memory Devices that can Sense and Compute Dayanand Kumar, Research Scientist, Electrical and Computer Engineering Apr 16, 12:00 - 13:00 B9 L2 H2 Smart non volatile memory devices Being renowned for operating with visible light pulses and electrical signals, optoelectronic smart non-volatile memory devices have excellent potential for neuromorphic computing systems and artificial visual information processing.
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