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Prof Suhaib Fahmy

Suhaib Fahmy

Prof Suhaib Fahmy

Professor of Computer Engineering 

s dot fahmy at warwick dot ac dot uk
+44 (0) 24 7657 5471

Biography

Suhaib Fahmy leads within the School of Engineering at 糖心TV. He previously led the from 2016–2020. He was also Turing Fellow at from 2017–2021. He graduated from in 2003 with a First Class Honours MEng in Information Systems Engineering, and in 2008 with a PhD in Electrical and Electronic Engineering. From 2007 to 2009, he was Postdoctoral Research Fellow at , and Visiting Research Engineer at Research Labs, Ireland, working on adaptive architectures for cognitive and software-defined radio systems. He was Assistant Professor in the at from 2009 to 2015, where he served as Deputy Director of the , and Deputy Program Director for the MSc in Embedded Systems. His research there explored the use of reconfigurable systems in domains including communications, cyber-physical systems, and automotive networks. He joined the University of 糖心TV in 2015.

Dr Fahmy received the Best Paper Award at the IEEE Conference on Field Programmable Technology (FPT) in 2012, the IBM Faculty Award in 2013, a UK Foreign and Commonwealth Office Collaborative Development Award in 2013, the Community Award at the International Conference on Field-Programmable Logic and Applications in 2016, the ACM Transactions on Design Automation of Electronic Systems Best Paper Award in 2019, and the IEEE High Performance Extreme Computing Conference Best Paper Award in 2021. He serves on the technical program committees for a number of prestigious conferences in the area of reconfigurable computing, actively reviews for many journals in related areas, and sits on the ACM Technical Committee on FPGAs. Dr Fahmy is a Senior Member of the IEEE, Senior Member of the ACM, Chartered Engineer and Fellow of the IET, and Fellow of the Higher Education Academy.

Research Interests

  • Reconfigurable computing;
  • field programmable gate arrays (FPGAs);
  • compute acceleration;
  • automotive systems;
  • dynamically adaptive systems;
  • adaptive radio systems.

Teaching Interests

Selected Publications

Projects and Grants

Team

Dr Fahmy鈥檚 research team includes the following students and previous graduates:

Student Degree Since Topic
PhD 2022 Tooflows for FPGA Acceleration of HPC Applications (co-supervised with Gihan Mudalige)

Alumni

Student Degree Year Thesis


now at Politeknik Negeri Bali

PhD 2024 Machine Learning at the Edge for Air Quality Prediction (co-supervised with Julian Gardner)


now at LANL

PhD 2023 High-Level FPGA Accelerator Design for Structured-Mesh-Based Numerical Solvers (co-supervised with Gihan Mudalige)


now at Arribada Initiative

PhD 2022 Build Framework and Runtime Abstraction for Partial Reconfiguration on FPGA SoCs


now at SignalGenerix

PhD 2022 Exploring the Capabilities of FPGA DSP Blocks in Neural Network Accelerators

now at Cornelis Networks
PhD 2021 An Applications Approach to Benchmarking and Performance Modelling Low Latency Interconnection Networks (co-supervised with Stephen Jarvis and Gihan Mudalige)


now at Balena.io

PhD 2020 Modelling and Characterisation of Distributed Hardware Acceleration


now at Google

PhD 2018 Energy Aware Performance Engineering in High Performance Computing (co-supervised with Stephen Jarvis)


now at Bosch

PhD 2017 Security for Automotive Electrical/Electronic (E/E) Architectures (co-supervised with at TUM CREATE)

now at AMD
PhD 2017 Architecture Centric Coarse-Grained FPGA Overlays (co-supervised with )

now at Microsoft
PhD 2016 Exploiting DSP Block Capabilities in FPGA High Level Design Flows

now at AMD
PhD 2016 The iDEA Architecture-Focused FPGA Soft Processor (co-supervised with )

now at Trinity College Dublin
PhD 2016 Enhancing Automotive Embedded Systems with FPGAs


now at Arm

PhD 2015 Techniques for Multi-Standard Cognitive Radios on FPGAs (co-supervised with )

now at BITS Pilani
PhD 2015 Design Automation for Partially Reconfigurable Adaptive Systems

now at Bosch
MEng 2014 A Scalable and Compact Linear Solver with a Focus on Model Predictive Control

now at Aptiv
MEng 2014 Optimization and Scheduling of Applications in a Heterogeneous CPU-GPU Environment


now at AMD

MEng 2014 Embedded Virtualization of a Hybrid ARM-FPGA Computing Platform (co-supervised with )

at AMD
MEng 2013 Efficient Polynomial Evaluation Algorithm and Implementation on FPGA

Research staff who have been part of the team in the past:

  • (now SoC Engineer at Nokia)
  • (now Research Associate at Imperial College London)
  • (now Characterization Engineer at Xilinx)
  • (now Research Associate at Ulster University)
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