Dr Saber Mahboubi received the bachelor’s degree in power engineering from the University of Rajaee, Tehran, Iran, and the M.Sc. degree in mechatronics from the University
of Tabriz, Iran. Before his Ph.D., he worked as a researcher fellow with the Max Planck Institute for Biological Cybernetics, Germany. He then became a Marie Curie research fellow gaining his PhD in Robotics from the University of Salford, UK. He is currently
a post-doctoral research fellow at the centre of Autonomous System and Robotics, University of Salford.Saber’s research interests include biologically inspired systems, variable impedance mechanisms, robust control, Robotic manipulation and artificial intelligence.
Dr Majeed Soufian (MIEEE) has a history of successful research collaboration and funding alongside a commitment to teaching and development of young researchers and PhD students. His research collaborations include both academic, industrial and government agency partners. He obtained his degrees from UMIT (University of Manchester), MMU and University of Oxford. Dr Soufian has published with others over 70 research articles in international conferences and journals with a research interest in eSystem engineering, robotics, machine learning and AI, computer science and software with applications in modelling, control, autonomous vehicle navigation, IoT, data science, pharmaceutical, medical microbiology, health, nuclear, Cybersecurity of industrial automation and autonomous systems especially CAV (Connected and Autonomous Vehicle) and so on. He has reviewed articles for many scientific publications for Chapman & Hall, SAGE, Elsevier, ACS publication, Sciedu press and sits on the International Editorial Review Board of Artificial Intelligence Research (AIR), and International Programme and Steering Committees of "Developments in eSystems Engineering (DeSE)". He has had and been involved in a grant portfolio of over £1.3M funded by major research councils, DTI, industrial partners and universities.
His industrial experience also includes establishing and managing an industrial R&D group for design and development of an electro-optic sensor and 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 (the .Net optimisation routines that can be used for machine learning) with some HPC (High Performance Computing) practices. He has also worked as a visiting scientist in STFC (Science and Technology Facility Council), Daresbury Laboratories toward a feasibility study of multiscale modelling and developing a distributed system software for it.