Mohammed E. Fouda
Applied Research Lead at Rain AI
I design AI accelerators and neuromorphic systems that bridge algorithms and hardware, focusing on brain-inspired computing and efficient quantization techniques.
Researcher in AI hardware & brain-inspired computing
AI ⟷ Hardware
Bridging algorithms & silicon
66+
Publications
Peer-reviewed papers
66
h-index
Citation impact
0K+
Citations
Research influence
Featured Research
Selected high-impact publications showcasing advances in neuromorphic computing, memristor modeling, and energy storage systems.
On the mathematical modeling of memristor, memcapacitor, and meminductor
Springer International Publishing, 2015•2015
Citations:181
Memristive Devices
Review of fractional-order electrical characterization of supercapacitors
Journal of Power Sources 400, 457-467, 2018•2018
Citations:172
Fractional Order Circuits
A simple model of double-loop hysteresis behavior in memristive elements
IEEE Transactions on Circuits and Systems II: Express Briefs 60 (8), 487-491, 2013•2013
Citations:159
Other
Power and energy analysis of fractional-order electrical energy storage devices
Energy 111, 785-792, 2016•2016
Citations:137
Fractional Order Circuits
Collaborations Welcome
Interested in AI hardware research, neuromorphic computing, or hardware-software co-design? Let's explore opportunities to work together.