Martin Albrecht Trefzer

Martin Albrecht Trefzer, PhD, FHEA, PGCAP, SMIEEE, MSc, BSc

Prof

Former affiliations

Accepting PhD Students

PhD projects

My research vision is to create novel architectures and systems, which are dynamically self-optimising and inherently fault-tolerant, by porting enabling features and mechanisms from Nature to hardware.
Therefore, I offer a number of research projects in the areas of fault-tolerance, autonomous systems, bio-inspired hardware, evolutionary computation, optimisation and reconfigurable architectures.

Personal profile

Research interests

I am Professor of Bio-inspired Systems and Technologies; with the School of Physics, Engineering and Technology at the University of York. My research interests include novel and unconventional computing models and substrates, neuromorphic systems, variability-aware hardware design, biologically inspired models of hardware design, evolutionary computation, and autonomous fault-tolerance. My 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. I am/have been PI/CI on EPSRC grants, Edgy Organism (EP/Y030133/1), 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.

Collaborations and top research areas from the last five years

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