reconfigurable computing

Ussama Zahid

Ph.D. Student, Computer Science
Ussama Zahid is a PhD student in the Accelerated Connected Computing Lab at KAUST. He works at the intersection of deep learning and embedded systems, i.e., “Edge AI”. He specializes in efficient training and inference of quantized deep neural networks (DNNs) and hardware-software co-design of DNN accelerators. Before joining KAUST, he was as a research engineer intern at Xilinx Research Labs, Dublin Ireland, Ireland where he worked on quantized and robust training of Deep Neural Networks (DNNs), resulting in patents and publications. He received his Bachelor's degree in Electrical Engineering

Suhaib Fahmy

Associate Professor, Computer Science
Professor Fahmy’s research explores novel ways to integrate accelerated computation and communication to improve computing systems' efficiency, latency, and security.

Rayan Rozi

Ph.D. Student, Computer Science
Rayan Rozi is a PhD student in the Accelerated Connected Computing Lab at KAUST. He works on the design of hardware accelerators. He received his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia in 2020. He received his Masters in Computer Science from KAUST in 2022.

Mohamed Hassan

Postdoctoral Research Fellow, Computer Science
Mohamed W. Hassan is a Postdoctoral Research Fellow in the Accelerated Connected Computing Lab at KAUST. He works on reconfigurable computing and computer architecture for high performance computing. He received his PhD in Electrical and Computer Engineering from Virginia Tech in 2021. He received Bachelor's and Master's degrees in Computer Engineering from the Arab Academy of Science, Egypt in 2010 and 2013 respectively. Mohamed's research has explored accelerating scientific applications in heterogenous systems including CPUs, GPUs, and FPGAs. He is especially interested in optimizing High

Mohamed Bouaziz

Ph.D. Student, Computer Science
Mohamed Bouaziz is a PhD student in the Accelerated Connected Computing Lab at KAUST working on electronic design automation for reconfigurable computing.

Mahmoud Elshenawy

Ph.D. Student, Computer Science
Mahmoud Elshenawy is an MS/PhD student in the Accelerated Connected Computing Lab at KAUST. He works on reconfigurable computing. He received his Bachelor of Science in Computer Engineering from the American University of Cairo, Egypt in 2023.

Krishnan Iyer

Ph.D. Student, Computer Science
Krishnan is an MS/PhD student in the Accelerated Connected Computing Lab at KAUST. He works on reconfigurable computing systems. He received his BTech degree in Electrical Engineering from Amrita Vishwa Vidyapeetham University, India in 2020 and worked as an Embedded Systems Engineer at Peer Robotics.

Hao Liu

Ph.D. Student, Computer Science
Hao Liu is a PhD candidate in the Accelerated Connected Computing Lab at KAUST. He works on reconfigurable computing systems, and has explored machine learning model compression and physically unclonable functions. He received his Bachelor's degree in Electronic and Information Engineering and his Master's degree in Cybersecurity and Technology from Beihang University, Beijing, China in 2019 and 2021, respectively.

Hasan Erdem Yantir

Postdoctoral Research Fellow, Sensors
Education and early career Hasan Erdem Yantır received the Ph.D. degree in Computer Engineering from the University of California, Irvine, the US and the M.Sc. degree in Computer Engineering from Bogazici University, Istanbul, Turkey. He was an engineer at Ericsson from 2011 to 2012 and at Ford Motor Company from 2012 to 2013. He is currently a postdoctoral research fellow at King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. Research Interests Hasan’s research interests include artificial intelligence, digital IC design, in-memory computing, computer architectures, and

Ayan Shymyrbay

Ayan Shymyrbay is a Ph.D. candidate in the electrical and computer engineering program at the King Abdullah University of Science and Technology (KAUST).