Ioannis Tzortzis is currently a Post-doctoral Fellow at the Department of Electrical and Computer Engineering, University of Cyprus (UCY).  He received the Diploma degree in Electrical Engineering from the Higher Technical Institute, Cyprus, in 2003 and his BSc degree in Electrical Engineering and Informatics from Budapest University of Technology and Economics, Hungary, in 2007.  He completed his MSc studies and PhD studies in Electrical and Computer Engineering from the University of Cyprus in 2009 and 2015, respectively. Following his PhD, he worked as a research scientist and as an adjunct lecturer at the Department of Electrical and Computer Engineering, UCY (from Jan 2015-Jan 2016). Between February 2016 and February 2018, he worked at the Department of Electrical and Computer Engineering, UCY, as a Postdoctoral Researcher. Since March 2018, he also contacts research and participates in all research activities of KIOS Research and Innovation Center of Excellence. In 2018, he received the DIDAKTOR fellowship, funded by the Cyprus Research Promotion Foundation. Throughout his academic career, he had the opportunity to contact research in a broad range of problems and get involved in numerous interdisciplinary projects, i.e., in the areas of information theory and communication, population dynamics, systems biology, etc. (Read more….). His primary research focus is on the areas of stochastic control theory and optimization, systems subject to uncertainty and ambiguity, system identification and on active fault diagnosis. In brief, his research interests can be categorized into:

  • Optimization of extremum problems with the Total Variation distance metric, with applications to systems under uncertainty and ambiguity.
  • Optimization problems for sequential decision making, with applications to minimax stochastic control via finite and infinite horizon Dynamic Programming.
  • Approximation of high dimensional Markov processes, with applications to model and graph reduction.
  • Modeling and analysis of dynamical population models, with applications to human population for policy-making and planning.
  • Optimal control and information strategies in control-coding capacity of stochastic systems, with applications to communication and information theory.
  • Network inference via linear and nonlinear system identification, with applications to system biology using experimental time series datasets with increasing complexity.
  • Active fault diagnosis and control of distributed dynamical systems. (Read more….)


DIDAKTOR Fellowship for the project "Multidimensional ambiguous stochastic dynamical models with applications to Cyprus population distribution," successfully completed.
Accepted Conference Paper entitled “Partially observable Markov decision subject to total variation distance ambiguity,” in the 61st IEEE Conference on Decision and Control (CDC), Cancun, Mexico.