The executive committee
The YorRobots executive committee consists of colleagues from across the University.
Ana Cavalcanti is Professor of Software Verification at York and RAEng chair in Emerging Technologies working on 'Software Engineering for Robotics: modelling, validation, simulation, and testing'.
She held a Royal Society-Wolfson Research Merit award and a Royal Society Industry fellowship to work with QinetiQ in avionics. She has chaired the programme committee of several well-established international conferences, is on the editorial board of four international journals, and is chair of the Formal Methods Europe association.
She is, and has been, principal investigator on several large EPSRC grants. Her research is on theory and practice of verification and testing for robotics. She has published more than 150 papers.
Cade McCall, PhD, is a social psychologist in the Department of Psychology at the University of York.
His research focuses on human affect and social interactions. McCall specialises in the use of virtual environments, motion capture, and psychophysiology for studying psychological processes as they unfold in naturalistic settings.
Cade's recent work investigates the role of social cognition in driving and in interactions with autonomous vehicles.
Andy Tyrrell received a first-class honours degree in 1982 and a PhD in 1985 (Aston University), both in Electrical and Electronic Engineering.
He joined the Electronics department at the University of York in April 1990 and was promoted to the chair of Digital Electronics in 1998. His main research interests are in the design of biologically-inspired devices, architectures and systems, fault-tolerance, evolvable hardware and robotics. This work has included the creation of embryonic processing array, intrinsic evolvable hardware systems and the PAnDA hardware architecture.
He founded the Intelligent Systems research group at York in 1998, and is currently head of department. He co-founded and is CEO of the University spin-out company ngenics which focuses on applying bio-inspired computation to semiconductor designs. He has published over 350 papers in these areas.
He is a senior member of the IEEE, a Fellow of the IET and a Fellow of the Royal Academy of Engineering.
Michael Stuart is a philosopher working on the consequences of ML methods being used in science. He combines traditional philosophical approaches with qualitative and quantitative sociological methods. He received his PhD from the University of Toronto in 2015, and has been a researcher or lecturer at the Universities of Bielefeld, Cambridge, Geneva, LSE, NYCU, Pittsburgh, Tubingen, and Zurich. Visit his website here: https://michaeltstuart.com/