
About
Hooman Farkhani is an Associate Professor at the Department of Electrical and Computer Engineering at Aarhus University. His primary research focuses on spintronics, neuromorphic computing, and energy-efficient circuit design. He leads projects including the PHOTON-NeuroCom: Photonic-assisted Neuromorphic Computing system (2017-2019) and Hybrid Enhanced Regenerative Medicine Systems (2019-2023).
His work spans magnetic tunnel junctions, spin-torque nano-oscillators, and resistive switching memories. Notable contributions include neuromorphic computing architectures, low-power analog/digital converters, and laser-assisted spintronic systems.
Recent publications (2023-2024) highlight advancements in neuromorphic engineering, thermal effects on memristors, and energy-efficient spintronic circuits. His research bridges hardware design and neuroscience, emphasizing practical implementations in nanoscale electronics.
Key projects involve hybrid spin-CMOS systems and photonic integration. He collaborates on multi-state memristor development and RF signal classification front-ends.
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