I got my PhD in Electronics Engineering (Digital VLSI) from The American University in Cairo (Egypt). In alignment with my PhD research, I had 2 successful tape-outs (chips) and published 5 papers as a first author in highly ranked transactions and conferences like TCAS-I, TCAS-II and ISCAS. 

Then, I joined the Computer Systems Laboratory at Cornell University (US) for two years as a Postdoctoral Associate. I collaborated with researchers from top-ranked universities, such as Princeton University, University of Washington, and Cornell University, to develop large-scale computing architectures for data-intensive applications like AI. My contribution at Cornell University over two years led to 7 publications including prestigious conferences like ISCAS, HPCA and CICC. 

Then, I joined the Centre for Electronics Frontiers (CEF) at The University of Edinburgh (UK) as a Research Fellow (previously at University of Southampton). Currently, I work on bridging the gap between emerging technologies and the ever-increasing performance demands of AI models, especially Convolutional Neural Networks (CNNs) and Large Language Models (LLMs).
 Since I joined CEF, I am leading three research projects and had 22+ publications  (including prestigious venues such as IEEE TCAS-I, IEEE-TCASAI, IEEE OJCAS, Frontiers Nanoelectronics, IEEE ISCAS and IEEE NEWCAS). I also filed 6 patents and contributed significantly to 8 AI tape-outs. Moreover, I am a Researcher Co-I of a successful grant “Prosensing” with a budget of 1.45 million GBP (UKRI EPSRC NSS). Meanwhile, I collaborated with researchers from Imperial College London (UK) on building a characterization chip with a million RRAM devices, and I lead a collaboration with Nottingham Trent University (UK) on developing in-sensors AI processing architectures. I organised annual 5-day workshops "ASIC-BASIC" at University of Edinburgh to provide fundamental knowledge of the digital ASIC design flow (from RTL to GDS). 

 

In August 2026, I joined the Sensors & Electronics Group, EEE Department at The University of Manchester, as a Lecturer/Assistant Professor in Electronic Systems. I also Joined the International Centre for Neuromorphic Systems (ICNS) at The University of Manchester.

My research focuses on novel AI Computing Architectures with extensive exploration of: In-Memory Computing (IMC), Stochastic Computing (SC), Spatial Dataflows & Systolic Arrays, Non-Binary Computing Domains, Beyond Von Neumann Architectures, Emerging Technologies, Memories, and Energy-Efficient Digital Design. My research philosophy adopts two themes: 1) AI Computing Systems using Today’s technologies, including spatial dataflows, maximum data utilization, and hardware specialization, and 2) Unconventional AI Computing Systems using Tomorrow’s technologies like in-memory computing emerging devices and unconventional AI Computing Paradigms like bitstream computing.