Imperial College London

Dr James J. Davis

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Fellow



james.davis06 Website




906Electrical EngineeringSouth Kensington Campus





James Davis is a Research Fellow in the Department of Electrical and Electronic Engineering's Circuits and Systems group at Imperial College London.

You can find James on Google Scholar and connect with him on LinkedIn.

His research interests include:

  • Runtime monitoring of digital electronic hardware
  • Computer arithmetic
  • Neural network inference
  • Fault tolerance, reliability and lifetime extension
  • Self-adaptive systems
  • Reconfigurable computing
  • Heterogeneous and embedded systems.

James serves on the technical programme committees of the four top-tier reconfigurable computing conferences (FPGA, FCCM, FPL and FPT) and is a multi-best paper award recipient. He is a Member of the IEEE and ACM.



Li H, Davis J, Wickerson J, et al., 2019, ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute, Ieee Transactions on Very Large Scale Integration (vlsi) Systems

Wang E, Davis J, Zhao R, et al., 2019, Deep neural network approximation for custom hardware: where we've been, where we're going, Acm Computing Surveys, Vol:52, ISSN:0360-0300, Pages:40:1-40:39


Wang E, Davis J, Cheung P, et al., 2019, LUTNet: Rethinking Inference in FPGA Soft Logic, IEEE Symposium on Field-programmable Custom Computing Machines (FCCM) 2019, IEEE, Pages:26-34

Li H, Davis JJ, Wickerson J, et al., 2018, Digit Elision for Arbitrary-accuracy Iterative Computation, IEEE Symposium on Computer Arithmetic (ARITH) 2018, IEEE, Pages:107-114

Wang E, Davis JJ, Cheung P, 2018, A PYNQ-based Framework for Rapid CNN Prototyping, IEEE Symposium on Field-programmable Custom Computing Machines (FCCM) 2018, IEEE, Pages:223-223

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