Publications

  1. Shaarawy, Noha, Ahmed A. M. Emara, Ahmed M. El-Naggar, Mohammed E. Elbtity, Maged Ghoneima and Ahmed Gomaa Radwan. “Design and analysis of 2T2M hybrid CMOS-Memristor based RRAM.” Microelectron. J. 73 (2018): 75-85. [PDF]

  2. Mohammed E. Elbtity and Ahmed Gomaa Radwan. “Small Area and Low Power Hybrid CMOS-Memristor Based FIFO for NoC.” 2018 IEEE International Symposium on Circuits and Systems (ISCAS) (2018): 1-5. [PDF]

  3. Mohammed E. Elbtity, Hyun-Wook Son, Dong-Yeong Lee and Hyungwon Kim. “High Speed, Approximate Arithmetic Based Convolutional Neural Network Accelerator.” 2020 International SoC Design Conference (ISOCC) (2020): 71-72. [PDF]

  4. Mohammed E. Elbtity, Abhishek Singh, Brendan Reidy, Xiaochen Guo and Ramtin Zand. “An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices.” 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (2021): 188-193. [PDF] - Selected as the Best Paper!

  5. Amin, Md Hasibul, Mohammed Elbtity and Ramtin Zand. “Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures.” ArXiv abs/2201.12480 (2022): n. pag. [PDF]

  6. Marwan F. Abdel Razik, Heba Tallah O. Silem, Omnia A.M. Akl, Yasmeen M. Abd Alradi, Mohammed E. Elbtity, Yousef Atef, Amjad A. Mohammed, Ziad Elmasry. “Applying Wireless Power Transfer on Charging Portable Devices.” DOI: 10.13140/RG.2.1.3982.2887. [PDF]

  7. Amin, Md Hasibul, Mohammed E. Elbtity, Mohammadreza Mohammadi, and Ramtin Zand. “MRAM-based Analog Sigmoid Function for In-memory Computing.” ArXiv abs/2204.09918 (2022) [PDF]

  8. Mohammed E. Elbtity, Peyton S. Chandarana, Brendan Reidy, Jason K. Eshraghian, Ramtin Zand. “APTPU: Approximate Computing Based Tensor Processing Unit.” IEEE Transactions on Circuits and Systems I: Regular Papers [PDF]