Technical University of Munich
Abolfazl Lavaei is a PhD candidate in the Department of Electrical and Computer Engineering at Technical University of Munich (TUM). He is also a Munich Aerospace Doctoral Scholarship Holder under the research group of Autonomous Flight. Prior to joining the HCS Group, he received the M.Sc. degree in Aerospace Engineering with a major in Flight Dynamics and Control from University of Tehran. He has worked on various areas of Control Theory such as Optimal Control, Robust Tracking, System Identification, and Motion Planning as well as their applications in mechanical systems. For his Master’s work, he has received the “Best Graduate Student Award” in all fields of study at Faculty of New Sciences and Technologies, at University of Tehran with the GPA of 20/20. His current research focuses on developing an Automated Controller Synthesis Approach for robotic systems in a formal fashion in order to enable them to make their own decisions without direct human involvement. He is a member of Munich Aerospace Research Group as well as DLR Graduate Program.
Honors and Awards
• Recipient of Munich Aerospace Doctoral Scholarship, Hybrid Control Systems Group, Department of Electrical Engineering and Information Technology, Technical University of Munich (TUM), Germany, 2016.
• Recipient of University of Auckland Doctoral Scholarship, Department of Electrical and Computer Engineering, University of Auckland, New Zealand, 2016.
• Recipient of Concordia International Award of Excellence, Department of Electrical and Computer Engineering, Concordia University, Canada, 2016.
• Admitted by EDEE Doctoral Program Committee, Department of Electrical Engineering, École Polytechnique Fédérale De Lausanne (EPFL), Switzerland, 2016.
• Admitted by Doctoral Program Committee, Department of Mechanical Engineering, University of Melbourne, Australia, 2016.
• Recipient of Departmental Prestigious Doctoral Fellowship, Department of Mechanical and Aerospace Engineering (Jacobs School of Engineering), University of California at San Diego (UCSD), United States, 2015.
• Best Graduate Student Award in all fields of study at Faculty of New Sciences and Technologies, University of Tehran, 2015.
• The First Graduate Student Nationwide who managed to receive a two-year master of science degree in two semesters (one academic-year) with the full GPA (20 out of 20), 2014.
• A. Lavaei, S. Soudjani, and M. Zamani, “Compositional Synthesis of Finite Abstractions for Continuous-Space Stochastic Control Systems: A Small-Gain Approach”, Submitted for publication.
• A. Lavaei, S. Soudjani, and M. Zamani, “From Dissipativity Theory to Compositional Construction of Finite Markov Decision Processes”, in Proceedings of the 21st ACM International Conference on Hybrid Systems: Computation and Control (HSCC), 2018, to appear. [Preprint]
• A. Lavaei, S. Soudjani, R. Majumdar, and M. Zamani, “Compositional Abstractions of Interconnected Discrete-Time Stochastic Control Systems”, in Proceedings of the 56th IEEE Conference on Decision and Control (CDC), 2017, pp. 3551-3556. [Preprint]
• A. Lavaei, and M.A. Atashgah, “Optimal 3D Trajectory Generation in Delivering Missions under Urban Constraints for a Flying Robot”, Intelligent Service Robotics, pp. 1-16, 2017.
• M.A. Atashgah, M.R. Torkamani, and A. Lavaei, “Robust Positioning, Preliminary Orbit Determination, and Trajectory Prediction of Space Debris using In-Space Iterative-Bearing-Only Observations”, The Journal of Navigation, pp. 1-21, 2017.
• M.A. Atashgah, H. Gazerpour, A. Lavaei, and Y. Zarei, “An Active Time-optimal Control for Space Debris Deorbiting via Geomagnetic Field”, Celestial Mechanics and Dynamical Astronomy, pp. 1-18, 2017.
• Kosari, Amirreza, H. Maghsoudi, and A. Lavaei, “Path Generation for Flying Robots in Mountainous Regions”, International Journal of Micro Air Vehicles, vol. 9, no. 1, pp.44-60, 2017.
• A. Lavaei, and M.A. Atashgah, “Three-Dimensional Constrained Optimal Motion Planning for a Six-Degree-of-Freedom Quadrotor for Urban Traffic Purposes”, Modares Mechanical Engineering, Vol. 15, No. 5, pp. 13-24, 2015.
• A. Kosari, H. Maghsoudi, A. Lavaei, and R. Ahmadi, “Optimal Online Trajectory Generation for a Flying Robot for Terrain Following Purposes using Neural Network”, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, vol. 229, no. 6, pp. 1124-1141, 2014.