Dr. Georgios C. Chasparis

Researcher Data Analysis Systems
Telefon: +43 50 343 857


Data Science - DAS

G. Chasparis, M. Pichler, T. Natschläger. A demand-response framework in balance groups through direct battery-storage control. Proceedings of the 20th European Control Conference (ECC 2019), pages 1392-1397, IEEE, June, 2019.

S. Luftensteiner, M. Zwick, G. Chasparis, S. Brayer, T. Grubinger. A framework for improving offline learning models with online data. Technical Report, number SCCH-TR-19021, September, 2019.

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.

G. Chasparis. Measurement-based efficient resource allocation with demand-side adjustments. Automatica, volume 105, pages 274-283, DOI: 10.1016/j.automatica.2019.05.003, August, 2019.

G. Chasparis. Stochastic stability of perturbed Learning automata in positive-utility games. June, 2019.

G. Chasparis. Stochastic stability of reinforcement learning in positive-utility games. IEEE Transactions on Automatic Control, volume early access, DOI: 10.1109/TAC.2019.2895300, January, 2019.

G. Chasparis. Aspiration-based perturbed learning automata. Proceedings of the 17th annual European Control Conference (ECC'18), pages 20-25, EUCA, June, 2018.

G. Chasparis, V. Janjic, M. Roßbory, K. Hammond. Learning-based dynamic pinning of parallelized applications in many-core systems. January, 2018.

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. Efficient dynamic pinning of parallelized applications by distributed reinforcement learning. January, 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, M. Roßbory. Efficient dynamic pinning of parallelized applications by distributed reinforcement learning. pages http://arxiv.org/abs/1606.08156, June, 2016.

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.

M. Roßbory, G. Chasparis. Parallelization of stochastic-local-search algorithms using high-level parallel patterns. January, 2016.

G. Chasparis, T. Natschläger. Regression models for output prediction of thermal. ASME Journal of Dynamic Systems Measurement and Control, DOI: 10.1115/1.4034746, November, 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.

G. Chasparis. Reinforcement-learning-based efficient resource allocation with demand-side adjustments. Proceedings of the European Control Conference (ECC2015), pages 3071-3077, July, 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.

G. Chasparis, T. Natschläger. Nonlinear system identification of thermal dynamics in buildings. Proceedings of the 13th European Control Conference 2014 (ECC), pages 1649-1654, EUCA, June, 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.

G. Chasparis, B. Moser. Architecture for modeling and optimization of agro-silvo-pastoral (ASP) systems. Technical Report, January, 2013.

G. Chasparis, M. Maggio, K. Årzén, E. Bini. Distributed management of CPU resources for time-sensitive applications. Proceedings of the 2013 American Control Conference (ACC 2013), pages 5325-5332, June, 2013.

Overview

  • 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 scienti c journals. (For more information, please check below or at my personal webpage provided above

Education

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
    Environments"


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

Academic/Research Experience

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
2002 2008

Graduate Student Researcher, Mechanical & Aerospace Engineering Department, University of California Los Angeles, California USA

  • MS research on multi-vehicle path planning in the presence of adversaries.
  • Ph.D. research on distributed decision making under uncertainty and convergence to ecient
    outcomes by dynamic reinforcement, with applications in game theory, social networks and sensor networks.
2000 2002

Undergraduate Student Researcher, National Technical University of Athens, Greece

  • Includes research for my Diploma degree on the analysis and design of servomechanisms and friction compensation by model-based approaches.

 

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,
    October 2002.
  • (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.

Computer Skills

  • Programming Languages: C, C++, Fortran
  • Platform Experience: Matlab/Simulink, CPLEX, GAMS
  • Operating Systems: Unix/Linux