Associate Director - Industrial Engagement
Senior Lecturer (Infrastructure & Environment), School of Engineering
- Address: School of Engineering, Rankine Building, Room 528
- Telephone: +44 (0) 141 330 5343
- Website: http://gla.ac.uk/schools/engineering/staff/konstantinosampountolas/
Kostas Ampountolas is the Associate Director for Industrial Engagement at UBDC and is a Lecturer in the School of Engineering at the University of Glasgow. Prior to joining Glasgow, he was research fellow at École Polytechnique Fédérale de Lausanne, visiting researcher scholar at the University of California, Berkeley, and post-doctoral researcher at the Centre for Research and Technology Hellas. He was visiting professor at Technion - Israel Institute of Technology thanks to the Joan and Reginald Coleman-Cohen fund and at the Federal University of Santa Catarina, Brazil. He received his Dipl.-Eng. degree in Industrial Engineering and Management, and MSc, PhD degrees in Operations Research, specialising in the modelling, control and optimisation of large-scale transportation networks, all from the Technical University of Crete, Greece. He serves as an Associate Editor of the Journal of Big Data Analytics in Transportation and on the Editorial Advisory Boards of Transportation Research Procedia, Transportation Research Part C: Emerging Technologies, and Data in Brief. He is a reviewer for a number of renowned journals and conferences in transportation, optimisation and control; and has acted as an expert reviewer for research councils in the UK, EC, US, Luxemburg, the Netherlands, Switzerland, Israel, Brazil, and Greece.
His research interests lie in the areas of applied optimisation and feedback control systems with a particular emphasis to applications in transportation systems and networks. His work typically involves some modelling and theoretical development combined with implementation of real-time control to transportation systems.
Specific areas of research include:
- Traffic flow modelling, simulation, and control
- Connected/automated vehicles
- Automatic control and optimisation
- Operations research/management, and mathematical programming