Staff Catalogue

THEMISTOKLIS CHARALAMBOUS

THEMISTOKLIS CHARALAMBOUS
...
ASSISTANT PROFESSOR
Department of Electrical and Computer Engineering
Green Park,
12, Aglantzias Ave.
 
Themistoklis Charalambous received his BA and M.Eng in Electrical and Information Sciences from Trinity College, Cambridge University. He completed his PhD studies in the Control Laboratory of the Engineering Department, Cambridge University in 2009. Following his PhD, he joined the Human Robotics Group as a Research Associate at Imperial College London (2009-2010). He also worked as a Visiting Lecturer at the Department of Electrical and Computer Engineering, University of Cyprus (2010-2011), as a Postdoctoral Researcher at the Department of Automatic Control of the School of Electrical Engineering at the Royal Institute of Technology (KTH) (2012- 2015), and as a Postdoctoral Researcher at the Department of Electrical Engineering at Chalmers University of Technology (2015-2016). In 2017, he joined the Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University as a tenure-track Assistant Professor. In September 2018, he was nominated Research Fellow of the Academy of Finland and in July 2020 he was promoted to tenured Associate professor. Since September 2021, he has been a tenure-track Assistant Professor at the Department of Electrical and Computer Engineering at the University of Cyprus. In May 2022, he was awarded the ERC Consolidator Grant for the project "MINERVA: Emerging cooperative autonomous systems: Information for control and estimation".
His primary research targets the design and analysis of (wireless) networked control systems that are stable, scalable and energy efficient. The study of such systems involves the interaction between dynamical systems, their communication and the integration of these concepts. As a result, his research is interdisciplinary combining theory and applications from control theory, communications, network and distributed optimization.
SELECTED JOURNAL PAPERS:
  • Charalambos D. Charalambous, Themistoklis Charalambous, Christos Kourtellaris, and Jan H. van Schuppen, "Complete Characterization of Gorbunov and Pinsker Nonanticipatory Epsilon Entropy of Multivariate Gaussian Sources: Structural Properties", IEEE Transactions on Information Theory (TIT), vol. 68, no. 3, pp. 1440-1464, March 2022.
  • Wei Jiang, Kun Liu, and Themistoklis Charalambous, "Multi-agent consensus with heterogeneous time-varying input and communication delays in digraphs", Automatica, vol. 135, 109950, January 2022.
  • Tahmoores Farjam, Henk Wymeersch, and Themistoklis Charalambous, "Distributed Channel Access for Control Over Unknown Memoryless Communication Channels", IEEE Transactions on Automatic Control (TAC), 2021 (early access).
SELECTED CONFERENCE PAPERS:
  • Charalambos D. Charalambous and Themistoklis Charalambous, "State-Dependent Generalizations of Nonanticipatory Epsilon Entropy of Partially Observable Processes", IEEE Conference on Decision and Control (CDC), 2022.
  • Endrit Dosti, Sergiy Vorobyov, and Themistoklis Charalambous, "A new accelerated gradient-based estimating sequence technique for solving large-scale optimization problems with composite structure", IEEE Conference on Decision and Control (CDC), 2022.
  • Giacomo De Benedittis, Henk Wymeersch, and Themistoklis Charalambous, "Intersection Crossing of Autonomous Vehicles for Communication Links with Packet Losses", IEEE Conference on Decision and Control (CDC), 2022.
  • Mohammadreza Doostmohammadian, Wei Jiang, and Themistoklis Charalambous, "DTAC-ADMM: Delay-Tolerant Augmented Consensus ADMM-based Algorithm for Distributed Resource Allocation", IEEE Conference on Decision and Control (CDC), 2022.
  • Wei Jiang, Mohammadreza Doostmohammadian, and Themistoklis Charalambous, "Distributed Resource Allocation via ADMM over Digraphs", IEEE Conference on Decision and Control (CDC), 2022.
  • Wei Jiang and Themistoklis Charalambous, "A Fast Finite-Time Consensus based Gradient Method for Distributed Optimization over Digraphs", IEEE Conference on Decision and Control (CDC), 2022.