Next we list only PhD level students; however, the group has a great experience in supervising/advising students of all levels.
CURRENT
PAST
Christian Meurer, PhD 2021, (sup) Maarja Kruusmaa, Ülle Kotta, State Estimation and Control for Small Low-Cost Autonomous Underwater Vehicles, Centre for Biorobotics, Department of Computer Systems, School of Information Technologies, Tallinn University of Technology
Arvo Kaldmäe, PhD, 2016, (sup) Ülle Kotta, Claude Moog, Advanced design of nonlinear discrete-time and delayed systems, Institute of Cybernetics, Tallinn University of Technology
Aleksei Tepljakov, PhD, 2015, (sup) Eduard Petlenkov, Juri Belikov, Fractional-order Modeling and Control of Dynamic Systems, Department of Computer Control, Faculty of Information Technology, Tallinn University of Technology
Vadim Kaparin, PhD, 2013, (sup) Ülle Kotta, Transformation of Nonlinear State Equations into Observer Form, Institute of Cybernetics, Tallinn University of Technology
Maris Tõnso, PhD, 2010, (sup) Ülle Kotta, Computer algebra tools for modelling, analysis and synthesis for nonlinear control systems, Institute of Cybernetics, Tallinn University of Technology
Sven Nõmm, PhD, 2004, (sup) Ülle Kotta, Claude Moog, Realization and Identification of Discrete-Time Nonlinear Systems (Realisation et identification des systemes non lineaires en temps discret), Institute of Cybernetics, Tallinn University of Technology and Ecole Centrale de Nantes Universite de Nantes, France
Marko Kääramees, PhD, 2012, (sup) Jüri Vain, Michael Reichhardt Hansen, A Symbolic Approach to Model-based Online Testing, Tallinn University of Technology
Andres Kull, PhD, 2009, (sup) Jüri Vain, Leo Mõtus, Model-Based Testing of Reactive Systems, Department of Computer Control, Faculty of Information Technology, Tallinn University of Technology
Juhan-Peep Ernits, PhD, 2007, (sup) Jüri Vain, Two State Space Reduction Techniques for Explicit State Model Checking, Department of Computer Science, Faculty of Information Technology, Tallinn University of Technology