Melika Payvand

Prof. Dr. Melika Payvand is a Professor in the Department of Electrical Engineering at ETH Zurich. Her research focuses on Neuromorphic Electronic Systems, NeuroAI, HW-Algorithm co-design, and Hybrid CMOS-Memristor Systems. She is affiliated with ETH Zurich's Electrical Engineering department and maintains a profile page at https://ee.ethz.ch/the-department/people-a-z/person-detail.Mjg0ODgw.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html.

Melika Payvand is an Assistant Professor at the Institute of Neuroinformatics, UZH and ETH Zurich, specializing in Neuromorphic Engineering, Cross-stack co-design, and NeuroAI. Her research focuses on developing scalable neuromorphic computing systems, with an emphasis on hardware implementation of deep network accelerators for healthcare and biomedical applications. She explores reconfigurable memristor-based devices for neuromorphic computing, including resistive memories and ultrasonic transducers for object localization. Her work also addresses ultra-low-power silicon neuron circuits and in-memory computing with non-ideal memristive devices. Payvand's research includes benchmarking frameworks for neuromorphic algorithms and systems, as well as hybrid circuits exploiting RRAM properties for parallel plasticity mechanisms.