Mohammed A. Zidan
“I’m currently exploring the future of computing systems beyond the current Moore/Von-Neumann Era. Based on emerging resistive devices, I’m working on new circuits and architectures to handle cognitive, big-data, and classical computing applications in a fast and power-efficient manner.”
Research Highlights
Memristor-Based Partial Differential Equation Solver
Nature Electronics
Reservoir Computing Using Dynamic Memristors
Nature Communications
The Future of Electronics Based on Memristive Systems
Nature Electronics
Field-Programmable Crossbar Array (FPCA)
IEEE TMSCS
Temporal Learning using Second-Order Memristors
IEEE TNANO (Cover)
Thin PZT Based Ferroelectric Non-Volatile Memory on ...
Advanced Elect. Mat. (Cover)
Hybrid Neural Network using Binary RRAM Devices
IEEE/ACM NANOARCH
Single-Readout High-Density Memristor Crossbar
Scientific Reports
From the Web
Honers and Awards
- IEEE Circuits and Systems Society Pre-Doctoral Scholarship Award
- Invited to the 65th Lindau Nobel Laureate Meeting
- CEMSE Dean Award (KAUST)
- Ranked First in BSc and MSc, and GPA 4.0 in PhD
- IEEE CICC Outstanding Invited Paper Award
- SIECPC Best Graduate Poster Award (KACST)
- Dow Sustainability Innovation Student Challenge (Finalist)
Last 10 Publications
1. “Single-Readout High-Density Memristor Crossbar,” US Patent
2. “Field-Programmable Crossbar Array For Reconfigurable ...,” US Patent
3. “Compensated Readout of a Memristor Array, a Memristor... ,” US Patent
4. “Resistive Content Addressable Memory Based In-Memory... ,” US Patent
5. “Hardware Acceleration of Simulated Annealing of Spin ...,” IEDM'18
6. “A General Memristor-Based Partial Differential ...,” Nature Electronics
7. “Neuromorphic Computing with Memristive Devices,” SCIS
8. "RRAM fabric for neuromorphic and reconfig ..." CICC'18
9. "The future of electronics based on memristive ..." Nature Electronics
10. "Parasitic Effect Analysis in Memristor Array-Based..." TNANO