Journal Papers

  1. M. Ghasemi, A. Hashemi, H. Vikalo, and U. Topcu, Anytime Learning-Based Online Control with High-Probability Sublinear Regret for Adversarially Evolving Tasks, Under review, 2021.
  2. A. Hashemi, M. Ghasemi, H. Vikalo, and U. Topcu, Randomized Greedy Sensor Selection: Leveraging Weak Submodularity, IEEE Transactions on Automatic Control, 2019.
  3. R. Dimitrova*, M. Ghasemi*, and U. Topcu, Reactive Synthesis with Maximum Realizability of Linear Temporal Logic Specifications, Acta Informatica Special Issue on Synthesis, 2019.

Conference Papers

  1. B. He, M. Ghasemi, U. Topcu, and L. Sentis, A Barrier Pair Method for Safe Human-Robot Shared Autonomy, Conference on Decision and Control (CDC), virtual, 2021.
  2. M. Ghasemi*, A. Hashemi*, H. Vikalo, and U. Topcu, No-Regret Learning with High-Probability in Adversarial Markov Decision Processes, Conference on Uncertainty in Artificial Intelligence (UAI), virtual, 2021.
  3. M. Ghasemi*, E. Scope Crafts*, B. Zhao, and U. Topcu, Multiple Plans are Better than One: Diverse Stochastic Planning, International Conference on Automated Planning and Scheduling (ICAPS), 2021.
  4. M. Ghasemi, A. Hashemi, H. Vikalo, and U. Topcu, Online Learning with Implicit Exploration in Episodic Markov Decision Processes, American Control Conference (ACC), 2021.
  5. M. Ghasemi, E. A. Bulgur, and U. Topcu, Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics, International Conference on Machine Learning (ICML), Virtual, July 12-18, 2020.
  6. M. Ghasemi, A. Hashemi, H. Vikalo, and U. Topcu, Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach,American Control Conference (ACC), Denver, CO, USA, June 1-3, 2020.
  7. M. Ghasemi and U. Topcu, Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes, International Joint Conferences on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019.
  8. M. Ghasemi*, A. Hashemi*, U. Topcu, and H. Vikalo, On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems, American Control Conference (ACC), Philadelphia, PA, USA, July 10-12, 2019.
  9. M. Ghasemi and U. Topcu, Online Greedy Active Perception for Partially Observable Markov Decision Processes, Conference on Decision and Control (CDC), Nice, France, December 11-13, 2019.
  10. A. Hashemi, M. Ghasemi, H. Vikalo, and U. Topcu, Submodular Observation Selection and Information Gathering for Quadratic Models, International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 9-15, 2019.
  11. R. Dimitrova, M. Ghasemi, and U. Topcu, Maximum Realizability for Linear Temporal Logic Specifications, International Symposium on Automated Technology for Verification and Analysis (ATVA), Los Angeles, CA, USA, October 7-10, 2018.
  12. A. Hashemi, M. Ghasemi, H. Vikalo, and U. Topcu, A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks, American Control Conference (ACC), Milwaukee, WI, USA, June 27-29, 2018.
  13. L. Feng, M. Ghasemi, K. W. Chang, and U. Topcu, Counterexamples for Robotic Planning Explained in Structured Natural Language, IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 21-25, 2018.

Extended Abstracts

  1. M. Ghasemi and U. Topcu, Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes, Workshop on Structure & Priors in Reinforcement Learning (SPiRL) at International Conference on Learning Representations (ICLR), New Orleans, LA, USA, May 6, 2019.
  2. R. Dimitrova, M. Ghasemi, and U. Topcu, Maximum Realizability for Linear Temporal Logic Specifications, Seventh Workshop on Synthesis (SYNT), Oxford, UK, July 18, 2018.

Theses

  1. Synthesis of Reactive Controllers for Reconfigurable Networked Systems, Master’s Thesis, University of Texas at Austin, 2017.
  2. Reviving the Control system and Simulating the Dynamics of a Shrimp Robot, Bachelor’s Thesis, Sharif University of Technology, 2014.