I am an Assistant Research Scientist in the Department of Mechanical Engineering and a member of the Maryland Robotics Center at the University of Maryland, College Park (UMD). My research interests are in robotics, motion planning and control, artificial intelligence for task planning, and machine learning. This includes evolutionary, reinforcement, supervised learning techniques, and game tree search for (semi-)automated synthesis of action selection policies and their corresponding adaptive representations. Currently, I work with Prof. S.K. Gupta on motion planning and machine learning algorithms for robotic systems operating in complex, stochastic environments.
I like teaching robotics related courses. For example, in Spring 2013, I enjoyed teaching a graduate course "Planning for Autonomous Robots (ENME696)" that was focused on various classical as well as state-of-the-art motion planning techniques for autonomous robots.
I did my Postdoctoral research in the Simulation-Based System Design laboratory with the main focus on the development of evolutionary approaches for automated synthesis of action selection policies for Unmanned Surface Vehicles.
Prior to that, I completed my Ph.D. in Mechanical Engineering (Machines and Equipments program, Design and Process Engineering branch) with a focus on robot motion planning at the Institute of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology in the Czech Republic. During my Ph.D. study, I spent one year on my research fellowship as a Graduate Research Assistant at the Department of Computer Science, Faculty of Engineering, University of Bristol in the UK.
I started my preparation for interdisciplinary research in robotics by simultaneously studying Mechanical Engineering at the Faculty of Mechanical Engineering, Brno University of Technology and Computer Science at the Faculty of Informatics, Masaryk University in the Czech Republic.