Dr. Georgios C. Chasparis
M. Pichler, M. Meisel, A. Goranovic, K. Leonhartsberger, G. Lettner, G. Chasparis, H. Vallant, S. Marksteiner, H. Bieser. Decentralized energy networks based on blockchain: Background, overview and concept discussion. In W. Abramowicz, A. Paschke (editors), Business Information Systems Workshops (BIS 2018), Revised Papers, Lecture Notes in Business Information Processing, volume 339, pages 244-257, DOI 10.1007/978-3-030-04849-5_22, Springer, January, 2019.
G. Chasparis, M. Roßbory, V. Janjic, K. Hammond. Learning-based dynamic pinning of parallelized applications in many-core systems. Proceedings of the 27th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2019), pages 1-8, DOI 10.1109/EMPDP.2019.8671569, IEEE, February, 2019.
F. Moisl, M. Pichler, G. Chasparis, K. Leonhartsberger, G. Lettner. Development of a decentralized small battery energy storage network to compensate for schedule deviations. In D. Schulze (editor), NEIS 2017: Conference on Sustainable Energy Supply and Energy Storage Systems, pages 169-174, VDE Verlag, September, 2017.
G. Chasparis, M. Rossbory. Efficient dynamic pinning of parallelized applications by distributed reinforcement learning. International Journal of Parallel Programming, Special Issue on High-Level Programming for Heterogeneous Parallel Systems, volume 47, number 1, pages 24-38, DOI: 10.1007/s10766-017-0541-y, November, 2017.
G. Chasparis, M. Roßbory, V. Janjic. Efficient dynamic pinning of parallelized applications by reinforcement learning with applications. In F. Rivera, T. Pena, J. Cabaleiro (editors), uro-Par 2017: Parallel Processing - Proc. Euro-Par 2017, Lecture Notes in Computer Science, volume 10417, pages 164-176, Springer, August, 2017.
T. Grubinger, G. Chasparis, T. Natschläger. Generalized online transfer learning for climate control in residential buildings. Energy and Buildings, volume 139, pages 63-71, DOI: 10.1016/j.enbuild.2016.12.074, March, 2017.
G. Chasparis. Stochastic stability analysis of perturbed learning automata with constant step-size in strategic-form games. Proceedings of the 2017 American Control Conference, pages 4607-4612, IEEE, May, 2017.
G. Chasparis, T. Natschläger. Supervisory output prediction for bilinear systems by reinforcement learning. IET Control Theory & Applications, volume 11, number 10, pages 1514-1521, DOI: 10.1049/iet-cta.2016.1400, June, 2017.
G. Chasparis, W. Zellinger, V. Haunschmid, M. Riedenbauer, R. Stumptner. On the optimization of material usage in power transformer manufacturing. Proceedings of the 8th IEEE International Conference on Intelligent Systems (IS'16), pages 680-685, IEEE, September, 2016.
T. Grubinger, G. Chasparis, T. Natschläger. Online transfer learning for climate control in residential buildings. Proceedings of the 5th Annual European Control Conference (ECC'16), pages 1183-1188, EUCA, June, 2016.
G. Chasparis, M. Maggio, E. Bini, K. Arzen. Design and implementation of distributed resource management for time-sensitive applications. Automatica, volume 64, number 2, pages 44-53, DOI: 10.1016/j.automatica.2015.09.015, November, 2015.
J. Martinez-Gil, G. Chasparis, A. Bögl, C. Illibauer, B. Freudenthaler, T. Natschläger. Framework for fast prototyping of energy-saving controllers. Proceedings of the 26th International Workshops on Database and Expert Systems Applications, pages 68-72, September, 2015.
G. Chasparis, J. Shamma, A. Rantzer. Nonconvergence to saddle boundary points under perturbed reinforcement learning. International Journal of Game Theory, volume 44, number 3, pages 667-699, DOI: 10.1007/s00182-014-0449-3, August, 2015.
I. Al-Shyoukh, G. Chasparis, J. Shamma. Coevolutionary modeling in network formation. Proceedings of the 2nd IEEE Global Conference on Signal and Information Processing -GlobalSIP 2014, pages 727-731, IEEE, December, 2014.
J. Martínez Gil, G. Chasparis, B. Freudenthaler, T. Natschläger. Realistic user behavior modeling for energy saving in residential buildings. In F. Morvan, R. Wagner, A. Tjoa (editors), Proceedings of the 25th International Workshop on Database and Expert Systems Applications - DEXA 2014, pages 121-125, CPS, September, 2014.
G. Chasparis, T. Natschläger. Supervisory system identification for bilinear systems with application to thermal dynamics in buildings. Proceedings of the 2014 IEEE Multi-Conference on Systems and Control - MSC 2014, pages 832-837, October, 2014.
G. Chasparis, A. Rantzer, K. Jörnsten. A decomposition approach to multi-region o ptimal power flow in electricity networks. Proceedings of the 12th biannual European Control Conference (ecc2013), pages 3018-3024, July, 2013.
M. Maggio, E. Bini, G. Chasparis, K. Arzén. A game-theoretic resource manager for RT applications. Proceedings of the 25th Euromicro Conference on Real-Time Systems (ECRTS 2013), pages DOI 10.1109/ECRTS.2013.17, July, 2013.
Education: I am a Ph.D. graduated from the University of California at Los Angeles, with a specialization in Automatic Control and Optimization. During my doctoral and post-doctoral studies, I have been conducting fundamental research in distributed control and optimization, operations research, algorithmic design and stochastic learning.
Academic/Professional Experience: I have had several appointments both as a research assistant (during my doctoral studies at the University of California at Los Angeles) and thereafter as a post-doctoral researcher (both at the Georgia Institute of Technology and at Lund University, Sweden). Currently I am working as a Senior Researcher at the Software Competence Center Hagenberg, Austria. I have published several research papers in well recognized international conference proceedings and scientic journals. (For more information, please check below or at my personal webpage provided above
University of California Los Angeles (UCLA), Los Angeles, California USA
- Department of Mechanical & Aerospace Engineering
- Ph.D, Mechanical Engineering, June 2008
- Major: Systems and Control, Minor: Optimization
- Dissertation Topic: \Distributed Learning and Ecient Outcomes in Uncertain and Dynamic
M.S., Mechanical Engineering, June 2004
- Thesis Topic: \Linear-Programming-Based Multi-Vehicle Path Planning with Adversaries"
- Advisor: Je S. Shamma
National Technical University of Athens (NTUA), Greece
- Department of Mechanical Engineering
- Diploma, Mechanical Engineering, November, 2001
- Thesis Topic: \Design of a Servomechanism Control System with Friction Compensation"
- Advisor: Evangelos Papadopoulos
|2012||present||Senior researcher, Knowledge-Based Technology, SCCH|
|2010||2012||Post-Doctoral Scholar, Department of Automatic Control, Lund University, Sweden|
|2007||2008||Post-Doctoral Scholar, Teaching Assistant, Electrical & Computer Engineering Department, Georgia Institute of Technology, Atlanta, Georgia, USA|
Graduate Student Researcher, Mechanical & Aerospace Engineering Department, University of California Los Angeles, California USA
Undergraduate Student Researcher, National Technical University of Athens, Greece
Honors and awards
- (Dec. 2002) Thomaidio Award (NTUA) for having published a paper in the internationally approved proceedings of the Scienti c Conference:
IEEE International Conference on Intelligent Robots and Systems, EPFL, Lausanne, Switzerland,
- (Sep. 1998) National Scholarship Foundation Award (Greece) for ranking among the top three
students in the department of Mechanical Engineering at National Technical University of Athens.
- Programming Languages: C, C++, Fortran
- Platform Experience: Matlab/Simulink, CPLEX, GAMS
- Operating Systems: Unix/Linux