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RAMEZANI Mahya

Main Referenced Co-authors
ALANDIHALLAJ, Mohammadamin  (10)
HEIN, Andreas  (10)
VOOS, Holger  (5)
SANCHEZ LOPEZ, Jose Luis  (3)
HABIBI, Hamed  (2)
Main Referenced Keywords
Aerospace Engineering (4); Reinforcement learnings (4); Control and Optimization (3); Model-predictive control (3); Collisions avoidance (2);
Main Referenced Disciplines
Aerospace & aeronautics engineering (13)
Computer science (2)
Electrical & electronics engineering (1)

Publications (total 15)

The most downloaded
314 downloads
ALANDIHALLAJ, M., YALCIN, B. C., RAMEZANI, M., OLIVARES MENDEZ, M. A., THOEMEL, J., & HEIN, A. (02 October 2023). Mitigating fuel sloshing disturbance in on-orbit satellite refueling: an Experimental study [Paper presentation]. International Astronautical Congress IAC. https://hdl.handle.net/10993/57764

The most cited

28 citations (Scopus®)

RAMEZANI, M., HABIBI, H., Sanchez-Lopez, J. L., & VOOS, H. (2023). UAV Path Planning Employing MPC-Reinforcement Learning Method Considering Collision Avoidance. In 2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICUAS57906.2023.10156232 https://hdl.handle.net/10993/59093

RAMEZANI, M., ALANDIHALLAJ, M., YALCIN, B. C., OLIVARES MENDEZ, M. A., & HEIN, A. (2026). Fuel-aware autonomous docking using RL-augmented MPC rewards for on-orbit refueling. Acta Astronautica, 238, 690 - 705. doi:10.1016/j.actaastro.2025.09.046
Peer Reviewed verified by ORBi

RAMEZANI, M., ALANDIHALLAJ, M., HEIN, A., & VOOS, H. (12 November 2025). SMC-Based, Stability-Guided Deep Reinforcement Learning for Control of Uncertain Nonlinear Dynamic Systems. IEEE Access, 13, 198778-198791. doi:10.1109/access.2025.3635903
Peer Reviewed verified by ORBi

RAMEZANI, M., Alandihallaj, M. A., Yalçın, B. C., Olivares Mendez, M. A., & VOOS, H. (2025). MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. doi:10.1109/iros60139.2025.11247300
Peer reviewed

SHETTY, G., RAMEZANI, M., HABIBI, H., VOOS, H., & Sanchez-Lopez, J. L. (2025). Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning. In 2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICUAS65942.2025.11007838
Peer reviewed

RAMEZANI, M., ALANDIHALLAJ, M., & HEIN, A. (12 October 2024). Autonomous Orbital Correction for Nano Satellites Using J2 Perturbation and LSTM Networks [Paper presentation]. International Astronautical Congress IAC, Milan, Italy.
Editorial reviewed

RAMEZANI, M., Atashgah, M. A., SANCHEZ LOPEZ, J. L., & VOOS, H. (2024). Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay. In 2024 International Conference on Unmanned Aircraft Systems, ICUAS 2024. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICUAS60882.2024.10557049
Peer reviewed

RAMEZANI, M., ALANDIHALLAJ, M., & HEIN, A. (2024). PPO-Based Dynamic Control of Uncertain Floating Platforms in Zero-G Environment. In 2024 IEEE International Conference on Robotics and Automation, ICRA 2024. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICRA57147.2024.10610101
Peer reviewed

ALANDIHALLAJ, M., RAMEZANI, M., & HEIN, A. (2024). MBSE-Enhanced LSTM Framework for Satellite System Reliability and Failure Prediction [Paper presentation]. 12th International Conference on Model-Based Software and Systems Engineering, Italy. doi:10.5220/0012607600003645
Peer reviewed

RAMEZANI, M., ALANDIHALLAJ, M., & HEIN, A. (2024). Fuel-Efficient and Fault-Tolerant CubeSat Orbit Correction via Machine Learning-Based Adaptive Control. Aerospace, 11 (10), 807. doi:10.3390/aerospace11100807
Peer Reviewed verified by ORBi

ALANDIHALLAJ, M., YALCIN, B. C., RAMEZANI, M., OLIVARES MENDEZ, M. A., THOEMEL, J., & HEIN, A. (02 October 2023). Mitigating fuel sloshing disturbance in on-orbit satellite refueling: an Experimental study [Paper presentation]. International Astronautical Congress IAC.
Peer reviewed

ALANDIHALLAJ, M., RAMEZANI, M., & HEIN, A. (01 October 2023). Maximizing Limited Volume: A Genetic Algorithm-Based Approach to CubeSat Solar Panel and Antenna Deployment Pattern Design [Paper presentation]. International Astronautical Congress, Baku, Azerbaijan.
Editorial reviewed

RAMEZANI, M., Atashgah, M., ALANDIHALLAJ, M., & HEIN, A. (01 October 2023). Reinforcement Learning for Planning and Task Coordination in a Swarm of CubeSats: Overcoming Processor Limitation Challenges [Paper presentation]. International Astronautical Congress, Baku, Azerbaijan.
Editorial reviewed

RAMEZANI, M., & SANCHEZ LOPEZ, J. L. (2023). To The Effects of Anthropomorphic Cues on Human Perception of Non-Humanoid Robots: The Role of Gender. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58243. doi:10.48550/arXiv.2309.12001

RAMEZANI, M., ALANDIHALLAJ, M., SANCHEZ LOPEZ, J. L., & HEIN, A. (2023). Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58244. doi:10.48550/arXiv.2309.12004

RAMEZANI, M., HABIBI, H., Sanchez-Lopez, J. L., & VOOS, H. (2023). UAV Path Planning Employing MPC-Reinforcement Learning Method Considering Collision Avoidance. In 2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/ICUAS57906.2023.10156232
Peer reviewed

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