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

Hybrid Neural Network using Binary RRAM Devices

IEEE/ACM NANOARCH

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)
  • Dow Sustainability Innovation Student Challenge (Finalist)
  • SIECPC Best Graduate Poster Award (KACST)
  • Ranked First in BSc and MSc, and GPA 4.0 in PhD

Last 10 Publications

My Citations

  • Total : 903
  • H-Index: 17