My research focuses on developing novel brain-inspired computing architectures. I use the unique properties of emerging materials, including magnetic materials (spintronics), 2D materials, oxides, and memristors, to design hardware that is more energy-efficient and works in ways similar to the brain. My goal is to connect materials science with computer engineering and neuromorphic system design to develop new hardware for future computing that goes beyond traditional CMOS technologies.
Neuromorphic computing, spintronics, material-system integration, edge AI
Smart local data processing, smart sensing, sustainable AI hardware, brain-machine interfaces, biomedical signal processing
Experimental: Electrical and magnetic device characterization tools and equipment such as probe station, oscilloscope, GMW electromagnet, source meter etc.
Computational: Physics-informed modeling of emerging devices, neural network algorithm–hardware co-design, multi-physics simulations (COMSOL, SPICE, micromagnetic tools)
Magnetic Materials, Material Modeling, Sustainable Materials, Nanomaterials Engineering
