1. Baltes, Jacky, Ilham Akbar, and Saeed Saeedvand. "Cooperative dual-actor proximal policy optimization algorithm for multi-robot complex control task." Advanced Engineering Informatics 63 (2025): 102960.
  2. Ghasemzadeh, Ardalan, Hadi S. Aghdasi, and Saeed Saeedvand. "Optimizing edge server placement and allocation for enhanced energy efficiency: a multi-objective approach based on decision space and elitism." Cluster Computing 28.1 (2025): 13.
  3. Le, Hoangcong, Saeed Saeedvand, and Chen-Chien Hsu. "A Comprehensive Review of Mobile Robot Navigation Using Deep Reinforcement Learning Algorithms in Crowded Environments." Journal of Intelligent & Robotic Systems 110.4 (2024): 1-22.
  4. Jacky Baltes, Hanjaya Mandala, and Saeed Saeedvand* (2024), A Hierarchical Deep Reinforcement Learning algorithm for Typing with a Dual-Arm Humanoid Robot, Knowledge Engineering Review, 39, e7, doi: 10.1017/S0269888924000080, Corresponding author, IF=2.8 (SCI), Q2.
  5. Ghasemzadeh, Ardalan, Hadi S. Aghdasi, and Saeed Saeedvand. "Optimizing edge server placement and allocation for enhanced energy efficiency: a multi-objective approach based on decision space and elitism." Cluster Computing 28.1 (2025): 13.
  6. Ghasemzadeh, Ardalan, Hadi S. Aghdasi, and Saeed Saeedvand (2024), Edge server placement and allocation optimization: a tradeoff for enhanced performance. Cluster Computing, 27, 5783–5797, doi: 10.1007/s10586-024-04277-x, , IF = 3.6 (SCI), Q2.
  7. Shirini, Kimia, Hadi S. Aghdasi, and Saeed Saeedvand (2024), Modified imperialist competitive algorithm for aircraft landing scheduling problem. The Journal of Supercomputing, 80, 1-13, doi: 10.1007/s11227-024-05999-w, IF = 2.5 (SCI), Q2.
  8. Shirini, Kimia, Hadi S. Aghdasi, and Saeed Saeedvand* (2024), A comprehensive survey on multiple-runway aircraft landing optimization problem. International Journal of Aeronautical and Space, 25, 1574–1602, Sciences, doi: 10.1007/s42405-024-00747-z, Corresponding author, IF = 1.4 (SCI), Q3.
  9. Chien-Lun Cheng, Chen-Chien Hsu, Saeed Saeedvand (2024), Jun-Hyung Jo, Multi-Objective Crowd-Aware Robot Navigation System Using Deep Reinforcement Learning, Applied Soft Computing, 151, 111154, doi: 10.1016/j.asoc.2023.111154, Q1 and IF = 7.2 (SCI), Q1 and Top 10% by IF in computer science, interdisciplinary applications.
  10. Shirini, Kimia, Hadi S. Aghdasi, and Saeed Saeedvand (2024), Multi-objective aircraft landing problem: a multi-population solution based on non-dominated sorting genetic algorithm-II. Journal of Supercomputing, 80(17), 25283-25314, doi: 10.1007/s11227-024-06385-2, IF = 2.5 (SCI), Q2.
  11. J. Baltes, G. Christmann, and S. Saeedvand, “A deep reinforcement learning algorithm to control a two-wheeled scooter with a humanoid robot,” Engineering Applications of Artificial Intelligence, vol. 126, p. 106941, 2023. R. Lowe, Y. I. Wu, A. Tamar, J. Harb, O. Pieter Abbeel, and I. Mordatch, “Multi-agent actor-critic for mixed cooperative-competitive environments,” Advances in neural information processing systems, vol. 30, 2017. H. Liu, “Cooperative multi-agent game based on reinforcement learning,” High-Confidence Computing, vol. 4, no. 1, p. 100205, 2024.
  12. Saeed Saeedvand, Masoumeh Jafari, Hadi S. Aghdasi, Jacky Baltes, Amir Masoud Rahmani "Deep learning: A taxonomy of modern weapons to combat Covid‐19 similar pandemics in smart cities." Concurrency and Computation: Practice and Experience 34.27 (2022): e7314.
  13. Saeed Saeedvand*, Hanjaya Mandala, and Jacky Baltes (2021). Hierarchical deep reinforcement learning to drag heavy objects by adult-sized humanoid robot. Applied Soft Computing, 110, 107601, doi: 10.1016/j.asoc.2021.107601, Corresponding and First author, IF = 7.2 (SCI), Q1 and Top 10% by IF 11/170 in computer science, interdisciplinary applications, (Citation: 23).
  14. Ulkar Ahmadova, Mustafa Mustafayev, Behnam Kiani, Saeed Saeedvand, and Amir M. Rahmani (2021), Big data applications on the Internet of Things: A systematic literature review. International Journal of Communication Systems, 34(18), 5004, doi: 10.1002/dac.5004. IF=1.7 (SCI), Q3.

  1. Baltes, Jacky, Ugo Roux, and Saeed Saeedvand. "High-fidelity Simulation of a Humanoid Robot Driving an E-scooter using Web technologies." 2022 International Conference on Advanced Robotics and Intelligent Systems (ARIS). IEEE, 2022.
  2. Yu-Hao Tsai, Saeed Saeedvand*, Jacky Baltes (2025). A Deep Reinforcement Learning Algorithm for Objects Balance Control with Hexapod Robot. 10th International Conference on Control and Robotics Engineering (ICCRE), Nagoya, Japan, IEEE, Scopus. (Accepted).
  3. Jacky Baltes, Reinhard Gerndt, Soroush Sadeghnejad, Saeed Saeedvand “A Hands- On Approach to Humanoid Robots Education” International Journal of Advance Research, Ideas and Innovations in Technology – August 2023
  4. Baltes, Jacky, and Saeed Saeedvand. "Rock climbing benchmark for humanoid robots." 2022 International Conference on Advanced Robotics and Intelligent Systems (ARIS). IEEE, 2022.
  5. Jacky Baltes, Reinhard Gerndt, Saeed Saeedvand, Soroush Sadeghnejad, Petr Čížek, Jan Faigl (2023). Learning Through Competitions—The FIRA Youth Mission Impossible Competition. In Robotics in Education: Proceedings of the RiE 2023 Conference, vol. 747, p. 383, Springer Nature. doi: 10.1007/978-3-031-38454-7_31.

名稱 開始日期 結束日期 委託單位 編號 參與身份別
Self-balancing dual-arm robot that can jump over obstacles and pick up and place sensitive objects 2024/08/01 2025/07/31 國科會 113-2221-E-003 -009 - 主持人

  1. Baltes, J., Gerndt, R., Saeedvand, S., Sadeghnejad, S., Čížek, P., Faigl, J. (2023). Learning Through Competitions—The FIRA Youth Mission Impossible Competition. In: Balogh, R., Obdržálek, D., Christoforou, E. (eds) Robotics in Education. RiE 2023. Lecture Notes in Networks and Systems, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-031-38454-7_31