Dr Tinkle Chugh is a Lecturer in Computer Science at the University of Exeter. Between Feb 2018 and June 2020, he worked as a Postdoctoral Research Fellow in the BIG data methods for improving windstorm FOOTprint prediction (BigFoot) project funded by Natural Environment Research Council (NERC) UK. He is also a member of the expert network in the Constructing a Digital Environment programme funded by NERC UK. He obtained his PhD degree in Mathematical Information Technology in 2017 from the University of Jyväskylä, Finland. His thesis was a part of the Decision Support for Complex Multiobjective Optimization Problems (DeCoMo) project, where he collaborated with Finland Distinguished Professor (FiDiPro) Yaochu Jin from the University of Surrey, UK. His research interests are machine learning, data-driven optimization, evolutionary computation and decision making.
Dr Richard Allmendinger is a Senior Lecturer in Data Science and the Business Engagement Lead at the Alliance Manchester Business School (Alliance MBS), The University of Manchester, UK. Richard has joined Alliance MBS in 2015 after a 4-year long stint as a Postdoc at the EPSRC Centre for Innovative Manufacturing in Emergent Macromolecular Therapies, University College London (UCL), UK. He received a PhD degree in Computer Science from the University of Manchester, UK, and a Diplom in Industrial Engineering from the Karlsruhe Institute of technology (KIT), Germany. Richard’s research interests are in the development and application of optimization, learning and analytics techniques to real-world problems arising in areas such as healthcare, manufacturing, sports, music, and forensics. Much of his research has been funded by grants from Innovate UK, EPSRC, ESRC, and industrial partners.
Dr Jussi Hakanen is a Senior Researcher at the Faculty of Information Technology at the University of Jyväskylä, Finland. He received MSc degree in mathematics and PhD degree in mathematical information technology, both from the University of Jyväskylä. His research is focused on multiobjective optimization and decision making with an emphasis on interactive multiobjective optimization methods, data-driven decision making, computationally expensive problems, explainable/interpretable machine learning, and visualization aspects related to many-objective problems. He has participated in several industrial projects involving different applications of multiobjective optimization, e.g. in chemical engineering. He has been a visiting researcher in Cornell University, Carnegie Mellon, University of Surrey, University of Wuppertal, University of Malaga and the VTT Technical Research Center of Finland. He has a title of Docent (similar to Adjunct Professor in the US) in Industrial Optimization at the University of Jyväskylä, Finland.