Martin Trefzer

Martin Trefzer is Professor of Bio-inspired Systems and Technologies at the University of York. His research interests include novel and unconventional computing models and substrates, variability-aware hardware design, biologically inspired models of hardware design, evolutionary computation, and autonomous fault-tolerance. His vision is to create novel architectures and autonomous systems, which are dynamically self-optimising and inherently fault-tolerant, by porting key enabling features and mechanisms from nature to hardware.

He is/has been PI/CI on EPSRC grants, Nervous Systems (EP/W003759/1), MARCH (EP/V006029/1), SpInspired (EP/R032823/1), eFutures Network,(EP/S032045/1), Bio-inspired Adaptive Architectures and Systems (EP/K040820/1), Graceful (EP/L000563/1) and PAnDA (EP/I005838/1), a DSTL grant on unconventional computing and Innovate UK KTPs in High-speed Embedded Vision Systems and Adaptive Networks for Spacecraft. Recent EPSRC awards are highly cross-disciplinary projects investigating computational properties and creating novel architectures underpinned by principles from Biology, Physics and Electronics. He is SMIEEE, Translational Theme Lead Devices and Systems, and co-chair of the International Conference on Evolvable Systems (ICES).