[J5] Abdul Ahad, Zheng Jiangbina, Mohammad Tahir, Ibraheem Shayea, Muhammad Aman Sheikh, and Faizan Rasheed, “6G and Intelligent Healthcare: Taxonomy, Technologies, Open Issues and Future Research Directions", Elsevier-Internet of Things, vol. xxx, DOI: 10.1016/j.iot.2024.101068, pp. xxx-xxx, 2024. [ISI IF 2022 (5.9), Q1, Scopus]

[J4] Faizan Rasheed, Yasir Saleem, Kok-Lim Alvin Yau, Yung-Wey Chong, and Sye Loong Keoh, “The Role of Deep Learning in Parking Space Identification and Prediction Systems”, Computers, Materials & Continua, vol. 75, DOI: 10.32604/cmc.2023.034988, pp. 761-784, 2023. [ISI IF 2021 (3.860), Q2]

[J3] Faizan Rasheed, Kok-Lim Alvin Yau, Rafidah Md Noor, and Yung-Wey Chong, “Deep Reinforcement Learning for Addressing Disruptions in Traffic Light Control”, Computers, Materials & Continua, vol. 71, DOI: 10.32604/cmc.2022.022952, pp. 2225-2247, 2022. [ISI IF 2021 (3.860), Q2]

[J2] Faizan Rasheed, Kok-Lim Alvin Yau, Rafidah Md Noor, Celimuge Wu, and Yeh-Ching Low, “Deep Reinforcement Learning for Traffic Signal Control: A Review", IEEE Access, vol. 8, DOI: 10.1109/ACCESS.2020.3034141, pp. 208016-208044, 2020. [ISI IF 2019 (3.745), Q1] 

[J1] Faizan Rasheed, Kok-Lim Alvin Yau, and Yeh-Ching Low, “Deep Reinforcement Learning for Traffic Signal Control under Disturbances: A Case Study on Sunway City, Malaysia", Elsevier-Future Generation Computer Systems, vol. 109, DOI: 10.1016/j.future.2020.03.065, pp. 431-445, 2020. [ISI IF 2019 (6.125), Q1, Scopus]

[C2] Faizan Rasheed, Daniel Polani, and Nicola Catenacci Volpi, "Leveraging Empowerment to Model Tool Use in Reinforcement Learning", IEEE 13th International Conference on Development and Learning (ICDL 2023), (Best Paper Finalist).

[C1] Faizan Rasheed, Daniel Polani, and Nicola Catenacci Volpi, "Empowerment for Tool Comparison in Reinforcement Learning: A Preliminary Study", In Proceedings of Abstract, School of Physics, Engineering, and Computer Science.