Prof. Erwin Pesch
University of Siegen and HHL, Germany
Biodata: Erwin Pesch studied Mathematics and Computer Science at the Technical University Darmstadt. He worked as an assistant professor at the Faculty of Economics and Business Administration of the University in Maastricht (Netherlands) from 1989 to 1994 and as a full professor at the Institute of Economics of the University in Bonn from 1994 to 2001. Currently, he is a full professor at the Faculty of Economics and Business Administration of the University in Siegen and director of the Center for Advanced Studies in Management (CASiM) at the HHL Leipzig Graduate School of Management.
He holds a Ph.D. in Mathematics and a Habilitation in Business Administration both from the Technical University Darmstadt. His research areas are in Logistics, Decision Support, Project Management, Personnel Planning and Scheduling many of which are closely related to different industry projects.
He is author or co-author of 6 books and has published about 200 papers in many international journals, among others in Management Science, Mathematical Programming, Transportation Science, Journal of Combinatorial Theory, European, IEEE Transactions on Robotics and Automation, etc.
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Prof. Roel Leus,
KU Leuven, Belgium
Biodata: Roel Leus holds a Master’s degree (1998) in Business Engineering and a PhD (2003) in Operations Management, both from KU Leuven (Belgium). He is currently Full Professor of Operations Research at the Faculty of Economics and Business of KU Leuven, and from 2012 to 2016 he was also the head of the research group ORSTAT (Operations Research and Business Statistics) at the same university. He is also the program director of KU Leuven’s Business Engineering programs (for all campuses). He has been a visiting researcher at London Business School (UK, 2004) and at LAAS-CNRS Toulouse (France, 2008). His main research interests are sequencing and scheduling, project planning, and planning under uncertainty. Roel Leus has published more than 50 papers in various international journals, and he currently also serves as an associate editor of OR Spectrum and special-issue editor of Journal of Scheduling.
Prof. Luiz Moutinho,
University of Suffolk, UK
Biodata: Prof. Luiz Moutinho is Visiting Professor of Marketing at Suffolk Business School, University of Suffolk, Ipswich, England, and Visiting Professor of Marketing at Universidade Europeia and the Marketing School, Portugal.
During 2015 - 2017 he was professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland. In 2017 Luiz Moutinho received a degree of Professor Honoris Causa from the University of Tourism and Management Skopje, FYR of Macedonia.
He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 29 years and held posts at Cardiff Business School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia, Fiji and Cyprus.
Between 1987 and 1989 he was the Director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the Cardiff Business School between 1993 and 1996. He was Director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004.
Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co-editor-in-Chief of the Innovative Marketing Journal. He has another 4 Associate Editorships as well as being in the Editorial Boards of another 47 international academic journals.
His areas of research interest encompass bio-marketing, neuroscience in marketing, algorithmic self, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling consumer behaviour, futures research, marketing futurecast and tourism and marketing. Other primary areas of Professor Moutinho’s academic research are related to modelling processes of consumer behaviour.
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