Professor Eduard Babulak is accomplished international scholar, researcher, consultant, educator, professional engineer and polyglot, with more than thirty years of experience. He served as Editor, reviewer, Conference Chair, has successfully published, his research was cited by scholars all over the world. He served as Chair of the IEEE Vancouver Ethics, Professional and Conference Committee. He was Invited Speaker at the University of Cambridge, MIT, Purdue University, Penn State, Yokohama National University & University of Electro Communications in Tokyo, Japan, Shanghai Jiao Tong University, Sungkyunkwan University in Korea, Czech Technical University, University at West Indies, Graz University of Technology, Austria, and other prestigious academic institutions worldwide. His academic and engineering work was recognized internationally by the Engineering Council in UK, the European Federation of Engineers and credited by the Ontario Society of Professional Engineers and APEG in British Columbia in Canada. He was awarded higher postdoctoral degree DOCENT - Doctor of Science (D.Sc.) in the Czech Republic, Ph.D., M.Sc., and High National Certificate (HNC) diplomas in the United Kingdom, as well as, the Diploma Engineer (MSc and B.Sc.) in Electrical Engineering in Slovakia. He is Fellow of the Royal Society RSA, London, UK; Chartered Fellow. Mentor and Member of the ELITE Group of the British Computer Society, London, UK; 2013-2014 Invited Panel Member for the DoD & National Science Foundation Graduate Research Fellowship Program, USA; Expert Consultant for HORIZON 2020 & CORDIS FP6 - FP7 European Commission, Brussellex, Belgium; Mentor and Senior Member of the IEEE and ACM, USA; Nominated Fellow of the Institution of Engineering and Technology, London, UK and Distinguished Member of the ACM, USA; Chartered Member of the IET, London, UK.

Research Interest

Qichun Kit Zhang was awarded PhD degree in Electrical and Electronic Engineering from University of Manchester, UK, in 2016. He also received MSc in Control Theory and Control Engineering in 2010 and BEng in Automation in 2008, respectively, from Northeastern University, China. Dr Zhang joined University of Bradford as Lecturer in Computer Science in Sept. 2019. Before that, he was Senior Lecturer in Dynamics and Control at De Montfort University from 2017-2019 and Senior Research Officer in Neural Engineering at University of Essex from 2016-2017. From 2011-2013, Dr Zhang was an academic visitor at Control Systems Centre, University of Manchester. He also worked for universities and enterprises in China before moving to UK in 2011. His current research interests include stochastic dynamic systems, probabilistic coupling analysis, decoupling control, performance optimisation and computational modelling for peripheral nervous systems. He has published widely in the above areas. Dr Zhang is a Chartered Engineer (CEng) recognised by British Engineering Council and a Fellow of Higher Education Academy (FHEA). He holds the Membership of IET and the Senior Membership of IEEE, currently, he is Associate Editor for IEEE Access journal and PLOS One.

Research Interest

Silvio Simani was born in Ferrara in 1971. He received his Laurea degree (cum laude) in Electronic Engineering from the Department of Engineering at the University of Ferrara, Italy, in 1996, and was awarded the Ph.D. in Information Science (Automatic Control) at the Department of Engineering of the University of Ferrara and Modena, Italy, in 2000. Since February 2002 he has been Assistant Professor at the Department of Engineering of the University of Ferrara, and since December 2018 he has been Associate Professor at the same Department. Since 1999 he is member of the IFAC Technical Committee on Fault Detection, Supervision and Safety for Technical Processes (SafeProcess); since 1998 he is member of the IEEE Society, and since 2016 he is Senior Member IEEE. Prof. Simani has published about 250 refereed journal and conference papers, several book’s chapters, and 3 monographs. His research interests include fault diagnosis and fault tolerant control of linear and nonlinear dynamic processes, system modelling, identification and data analysis, linear and nonlinear filtering techniques, fuzzy logic and neural networks for modelling and control, as well as the interaction issues among identification, fault diagnosis, and fault tolerant control.

Research Interest

Research Interest

Research Interest

Research Interest