Kosmatopoulos Elias
RANK: | Professor |
SECTOR: | Electronics and Information Technology Systems Sector |
LABORATORY: | Automatic Control Systems and Robotics Laboratory |
EXPERTISE: | Applied Automatic Control |
CONTACT DETAILS
ADDRESS: | University Campus Kimmeria, Building B, Office 1.14 |
E-MAIL: | |
TELEPHONE: | +30 25410 79533 |
PERSONAL WEBSITE: | http://www.convcao.com/ |
CV: | ![]() |
SCIENTIFIC INTERESTS
- Learning systems
- Adaptive optimization and control and their applications to
- Internet of Things
- Energy efficient buildings and smart grids
- Intelligent transportation systems
- Robotic swarms
UNDERGRADUATE COURSES
- Control Systems I
- Control Systems II
- Control Systems III
POSTGRADUATE COURSES
- Adaptive Control
SHORT CV
Elias B. Kosmatopoulos received the Diploma, M.Sc. and Ph.D. degrees from the Technical University of Crete, Greece, in 1990, 1992, and 1995, respectively. He is currently a Professor with the Department of Electrical and Computer Engineering, Democritus University of Thrace, Greece and a collaborative Professor with the Information Technologies Institute, Cetnre for Research & Technology, Hellas, Greece. Previously, he was a faculty member of the Department of Production Engineering and Management, Technical University of Crete (TUC), Greece, a Research Assistant Professor with the Department of Electrical Engineering-Systems, University of Southern California (USC) and a Postdoctoral Fellow with the Department of Electrical & Computer Engineering, University of Victoria, B.C., Canada. Dr. Kosmatopoulos’ research interests are in the areas of learning systems, adaptive optimization and control and their applications to Internet of Things; energy efficient buildings and smart grids; intelligent transportation systems; and robotic swarms. He is the author of over 55 journal papers. Prof. Elias Kosmatopoulos has been leading many research projects funded by the European Union and the private sector with a total budget of about 17 Million Euros.
RESEARCH PROJECTS
- 2017-2023, (Project Coordinator) European Commission H2020, PLUG-N-HARVEST, PLUG-N-play passive and active multi-modal energy HARVESTing systems, circular economy by design, with high replicability for Self-sufficient Districts Near-Zero Buildings,
- 2017-2021, (Technical and Scientific Coordinator) European Commission H2020, ROBORDER, autonomous swarm of heterogeneous RObots for BORDER surveillance,
- 2015-2018, European Commission H2020 FIRE+, RAWFIE, Road-, Air- and Water-based Future Internet Experimentation
- 2013-2015, (Project Coordinator), European Commission FP7-ICT-2013.3.4 – Engineering of Networked Monitoring and Control Systems, Local4Global, Systems-of-Systems that act Locally to Optimize Globally,
- 2011-2015 (Project Coordinator). European Commission, FP7-ICT-2009.2.1: Cognitive Systems and Robotics, C. New ways of designing and implementing complete robotic systems,NOPTILUS, Autonomous, Self-learning, Optimal and Complete Underwater Systems
SELECTED PUBLICATIONS
- Korkas, C. D., Baldi, S., Yuan, S., & Kosmatopoulos, E. B. (2018). An adaptive learning-based approach for nearly optimal dynamic charging of electric vehicle fleets. IEEE Transactions on Intelligent Transportation Systems, 19(7), 2066-2075.
- Baldi, S., Korkas, C. D., Lv, M., & Kosmatopoulos, E. B. (2018). Automating occupant-building interaction via smart zoning of thermostatic loads: A switched self-tuning approach. Applied Energy, 231, 1246-1258.
- Kapoutsis, S. A. Chatzichristofis, E. B. Kosmatopoulos, “DARP: Divide Areas Algorithm for Optimal Multi-Robot Coverage Path Planning”, «Journal of Intelligent & Robotic Systems», Springer, Volume 86, Issue 3, June 2017, pp 663–680.
- Kapoutsis, S. A. Chatzichristofis, L. Doitsidis, J. Sousa, J. Pinto, J. Braga and E. B. Kosmatopoulos, “Real-Time Adaptive Multi-Robot Exploration with Application to Underwater Map Construction”, «Autonomous Robots», Springer, Volume 40, Issue 6, August 2016, pp 987–1015.
- Simone Baldi, Iakovos T. Michailidis, Elias B. Kosmatopoulos, Petros A. Ioannou,”A “plug and play” computationally efficient approach for control design of large-scale nonlinear systems using cosimulation: a combination of two “ingredients””, IEEE Control Systems Magazine, October 2014
GOOGLE SCHOLAR LINK
https://scholar.google.com/citations?hl=en&user=LIRR8B8AAAAJ
SCOPUS LINK
https://www.scopus.com/authid/detail.uri?authorId=7003350547