Dr Majeed Soufian has a history of successful research collaboration alongside a commitment to teaching and development of young researchers and PhD students.
He graduated with a degree in applied physics with major in solid state (NUI), a MSc in Control and information Technology (UMIST) and PhD (MMU) in Intelligent Control Systems (Hard & Soft Computing Techniques for nonlinear modelling and control with industrial applications) and he also has a MSc in Software Engineering (University of Oxford).
His research collaborations include both academic, industrial and government agency partners. As a lecturer in Industrial Automation he is currently developing a collaboration with SEBE and SoC on Industrial Control System Security (ICS2) and has secured funding for a PhD student to work in this field.
He has published over 50 research articles in international conferences and journals with a research interest in industrial automation and its security, modelling, control engineering, robotics, autonomous vehicle navigation, artificial intelligence, data mining and so on with applications ranging from industrial plastic extrusion to fermentation processes and from API (Active Pharmaceutical Ingredients) morphology to medical microbiology.
His reputation and network of international collaboration has led to his chairing of many special sessions at international conferences. His current commitments include a successful bid for a special session on “Industrial Automation and Process System’s Security” in the 26th IEEE international Symposium on Industrial Electronics ISIE’17, and he is now principle organiser and chairman for this special session. He is also a co-chairman for five special sessions at the IEEE-ISIE17 conference.
He is in collaboration with iniLabs GmbH (a Swiss spin-off of the Institute of Neuroinformatics at the University of Zurich and the ETH Zurich) in developing the following two focused sessions for IEEE SENSORS 2017 conference: “Sensor development for autonomous vehicle/robots/assisted driving” and in “Optimal sensor placement”. Additionally, he has a long collaboration with the control section of Candu Energy Inc (part of SNC-Lavalin).
He is a member of International Programme and Steering Committees of “Developments in eSystems Engineering” assisting in DeSE2016 and DeSE2017 International Conferences. He is also the Organising Chairman for DeSE2018 International Conference in Edinburgh, UK.
He is also an invited Track Co-chair on “Application-Specific CE for Smart Cities” for 36th IEEE International Conference on Consumer Electronics (ICCE 2018) IEEE - ICCE 2018.
He has reviewed articles for many scientific publications for Chapman & Hall, SAGE, Elsevier, ACS publication, Sciedu press as and sits on the International Editorial Review Board of Artificial Intelligence Research (AIR).
He holds a number of international patents which he exploited in the design and development of Biocypher system software architecture for rapid typing and identification of pathogens. Furthermore he founded and was technical director of Claydon Bioinformatics Ltd a R&D spin-out company/SME for which he successfully secured a £490K DTI SMART award as PI and grant holder for the same day identification of MRSA project with an estimated total budget of over £1.1M.
His industrial experience also includes establishing and managing an industrial R&D group for design and development of an electro optic sensor for semi-automatic navigation system of an autonomous mobile object and over four years in Numerical Algorithms Group where his expertise were utilised in the development and porting of numerical algorithms with some HPC (High Performance Computing) practices. Additionally he supervised an industrial project for the design and implementation of a multidimensional multivariable control system for an industrial web process after a thorough structural analysis to obtain its analytical model; was involved in the design of an intelligent system for navigation of a mobile robot and synthesised an intelligent controller for a MR Imaging field gradient system (hospital scanners).
He also worked as a visiting scientist in STFC (Science and Technology Facility Council), Daresbury Laboratories toward a feasibility study of multi-scale (ranging from Angstrom to meter) modelling and developing a distributed system software for it.