After joining the Decision Technologies Group at the Computation Department, UMIST in January 1997, Ludmil started to investigate new methods for multiple criteria decision-making. He is the author of about 90 technical papers in peer-reviewed journals and international conferences, and holds two patents in the area of systems and control.
Ludmil’s results in the area of fuzzy decision-making are internationally recognized. He has been serving as a programme committee member of many international conferences and as a reviewer of many journals on decision science. He is also an Associate Editor of the International Journal of Operations Research.
Dr. Chen is lecturer in Decision Sciences. Prior to his current appointment, he was a Postdoctoral Research Associate at the Decision and Cognitive Sciences (DCS) research centre of Manchester Business School, The University of Manchester, and a Postdoctoral Research Fellow at the Department of Computer Science, Hong Kong Baptist University. He received the PhD degree in Control and System Engineering from Shanghai Jiao Tong University in 2008. His research interests are mainly in the areas of Decision and System Sciences, Operational Research and Artificial Intelligence. He is a member of International Society of Multiple Criteria Decision Making, and the Chinese Automation and Computing Society in UK.
Dr Theodoulidis holds the position of Associate Professor at Manchester Business School.
He is a member of the editorial board of Information Systems and e-Business Management Journal and previously of the Journal of Database Management. He has published extensively (over 150 refereed journal and conference articles) and his research work (as Principal or Co-Investigator) has received funding of over 4m from UK and European funding bodies over the last 12 years. During this time, he has successfully supervised 20 PhD theses and over 20 MPhil theses.
Main research areas: modelling, analysis and management of service systems. In particular, he investigates the design of service-based information systems, the temporal and spatial aspects of information, the analysis of information using data and text mining techniques (service analytics) with focus on customer analytics, the visualisation of information, and service information management issues within organisations such as information retention, audit and ownership. Over the recent years, he has investigated information management issues within financial markets and especially, the role of algorithmic trading and high frequency trading and their implications. He has also investigated information management issues within the context of marketing and especially, customer feedback management.
Professor Jian-Bo Yang – Director of the Decision and Cognitive Sciences Research Centre
Over the last twenty years, Professor Yang has been conducting research in the areas of multiple criteria decision analysis using both quantitative and qualitative information with uncertainties, hybrid decision methodologies using techniques from both operational research and artificial intelligence, multiple objective optimisation, linear and non-linear programming, intelligent decision support systems, and dynamic system modelling, simulation and control of engineering and management systems. The current application areas cover design decision-making, quality management, risk and safety assessment, supply chain management and environmental management.
Professor Nikolay Mehandjiev – Head of the MOMS Division of the Manchester Business School
Dr Mehandjiev is a Professor of Enterprise Information Systems at the Centre for Service Research, MBS. He has initiated and managed projects worth €5,5m of which € 2,2m to the University of Manchester. The most recent project in which he participates is SOA4All, a €13.6 mln project involving 17 partners, including SAP, BT and Atos Origin. He is currently involved with the EUD4Services.org initiative, aiming to open the design of software services to non-programmers.
Dr Ilias Petrounias – Head of Services Systems Resarch Group
Dr Ilias Petrounias researches business intellidence, with particular interests in data mining and big data analytics and competitive intelligence. The techniques developed are based on either algorithmic or neural network approaches. They have been applied in a variety of domains, including healthcare management, electricity supply prediction and food management. Recent research is concerned with data analytics for social media and data analysis of video images in business environments.