Dr. Kiran Jude Fernandes
Dr Kiran Jude Fernandes is a Senior Lecturer in Operations Management at the University of York, and is a member of the multidisciplinary Centre for Complex Systems Analysis. Prior to joining York, he worked as an EPSRC/IMRC Senior Research Fellow at the University of Warwick, and prior to that as a sub-systems engineer at the NASA John C. Stennis space centre, undertaking research into technology evolution and systems modelling in high-velocity sectors. He is currently involved in modelling the gun crime phenomenon with the Greater Manchester Police using evolutionary theories (EP/D078725/1). He recently completed an EPSRC (GR/R64841) funded study, to examine the evolution of information and display technology (particularly virtual reality) within the UK construction sector using evolutionary biological techniques with Arup. Along with the Universities of Cambridge, Oxford and Warwick, he participated in an EPSRC Network (GR/M00657), which examined issues of systems complexity in industrial settings. Dr Fernandes has led several projects which studied the nature and behaviour of systems in knowledge intensive domains. Two projects were funded by the DT: (i) the modelling and design of complex collaborative systems within business domains, and (ii) the design and development of a business system using ISM.
Professor Susan Stepney
Professor Susan Stepney (Investigator - York) leads the Non-Standard Computation research group, and is one of the instigators of the new interdisciplinary York Centre for Complex Systems Analysis. Originally a theoretical astrophysicist, she has spent the bulk of her professional career in commercial R&D (GEC-Marconi and Logica), mostly in mathematical and computational modelling, researching aspects of novel computation. She is a moderator of the UKCRC Grand Challenge 7 in Non-Classical Computation and is helping to build a conceptual meta-framework for bio-inspired computation. Current research interests also include theories of emergence and self-organising systems, and nature-inspired computational metaphors. She is the PI of the Complex Systems Modelling and Simulation (EP/E053505) project and was PI of the EIVIS novel computation cluster (GR/S63823/01), rated "outstanding", and is PI of the TUNA feasibility study on emergent properties of nanotech assemblers (EP/C516966/1). She teaches the CS MEng module Non-Standard Computation, and co-teaches the Biology Department's Bioinformatics MRes module Simulating Complex Biosystems, and is responsible for designing the new Masters course in Natural Computation.
Professor Jonathan Timmis
Jonathan Timmis (Investigator - York) is Professor of Natural Computation at the University of York in a joint appointment with the Department of Computer Science and Department of Electronics. His primary research interest is in the computational abilities of the immune, neural and endocrine systems and how they relate to computer science and engineering. He has published over 80 papers on artificial immune system related research and is the co-author of the first text book on artificial immune systems. He has worked on real-time fault detection in ATM machines, immune inspired learning systems, web mining, optimisation, software testing, fault tolerance, robotics, theoretical aspects of Artificial Immune Systems (AIS) and complex systems modelling. He is a member of the editorial board for Natural Computing and Evolutionary Intelligence and is a member of the IEEE and IET.