Journal

Journal

21. M. S. Munir, A. Adhikary, K. T. Kim, W. Saad, S. Shetty, S-B Park, and C. S. Hong, "Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network,"  IEEE Internet of Things Journal (IEEE IoT), vol. 10, no. 24, pp. 22451-22468, August 2023 (IF: 10.6).


20. M. Monem, M. T. Hossain, M. G. R. Alam, M. S. Munir, M. M. Rahman, S. A. AlQahtani, S. Almutlaq, and M. M. Hassan, ”A sustainable Bitcoin blockchain network through introducing dynamic block size adjustment using predictive analytics”, Future Generation Computer Systems (FGCS), Volume 153, Pages 12-26, November 2023 (IF: 7.5)


19. L. Zou, M. S. Munir, S. S. Hassan, Y. K. Tun, L. X. Nguyen, and C. S. Hong, ”Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-agent DRL Approach”, IEEE Transactions on Vehicular Technology (IEEE TVT), Early Access, October 2023 (IF:6.8)

18. A. Adhikary, M. S. Munir, A. D. Raha, Y. Qiao, Z. Han and C. S. Hong, "Integrated Sensing, Localization, and Communication in Holographic MIMO-enabled Wireless Network: A Deep Learning Approach," IEEE Transactions on Network and Service Management (IEEE TNSM), Early Access, July 2023 (IF: 5.3). 

17. K. Kim, Y. K. Tun, M. S. Munir, W. Saad, and C. S. Hong, "Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks," IEEE Communications Letters, Early Access, May 2023 (IF: 4.1).

16. M. S. Munir, S. H. Dipro, K. Hasan, T. Islam and S. Shetty. ”Artificial Intelligence-Enabled Exploratory Cyber-Physical Safety Analyzer Framework for Civilian Urban Air Mobility.”, Applied Sciences, 2023, 13(2), 7552 (IF: 2.7) Link.

15. L. Zou, M. S. Munir, Y. K. Tun, S. S. Hassan, P. S. Aung and C. S. Hong. ”When Hierarchical Federated Learning Meets Stochastic Game: Towards an Intelligent UAV Charging in Urban Prosumers.”, IEEE Internet of Things Journal (IEEE IoT), Early Access, January, 2023 (IF: 10.6) Link.

14. M. S. Munir, K. T. Kim, K. Thar, D. Niyato, and C. S. Hong. ”Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging.”, IEEE Internet of Things Journal (IEEE IoT), vol. 9, no. 16, pp. 15184-15203, 15 Aug.15, 2022 (IF: 10.6) Link.

13. L. Zou, M. S. Munir, Y. K. Tun, S. Kang, and C. S. Hong, “Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach,” IEEE Transactions on Network and Service Management (IEEE TNSM), vol. 19, no. 4, pp. 4384-4407, Dec. 2022 (IF: 5.3) Link.

12. M. S. Munir, N. H. Tran, W. Saad, and C. S. Hong, ”Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems,” IEEE Transactions on Network and Service Management (IEEE TNSM), vol. 18, no. 3, pp. 3353-3374, Sept. 2021 (IF: 5.3) Link.

11. M. S. Munir, S. F. Abedin, N. H. Tran, Z. Han, E. -N. Huh, and C. S. Hong, ”Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach,” IEEE Transactions on Network and Service Management (IEEE TNSM), vol. 18, no. 3, pp. 3476-3497, Sept. 2021 (IF: 5.3) Link.

10. S. F. Abedin, M. S. Munir, N. H. Tran, Z. Han, and C. S. Hong, “Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach,” IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), vol. 22, no. 9, pp. 5994-6006, Sept. 2021 (IF: 8.5) Link.

09. M. S. Munir, D. H. Kim, A. K. Bairagi, and C. S. Hong, ”When CVaR Meets with Bluetooth PAN: A Physical Distancing System for COVID-19 Proactive Safety,” IEEE Sensors Journal (IEEE Sensors), vol. 21, no. 12, pp. 13858-13869, March 2021 (IF:4.3) Link.

08. A. K. Bairagi, M. S. Munir, M. Alsenwi, N. H. Tran, S. S. Alshamrani, M. Masud, Z. Han, and C. S. Hong, ”Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks,” IEEE Transactions on Communications (IEEE TCOM), vol. 69, no. 3, pp. 1736-1749, Nov. 2020 (IF: 8.3) Link.

07. A. K. Bairagi, M. Masud, D. H. Kim, M. S. Munir, A. A. Nahid, S. F. Abedin, K. M. Alam, S. Biswas, S. S. Alshamrani, Z. Han, and C. S. Hong, “Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective,” IEEE Access (IEEE Access), vol. 8, pp. 215570-215581, November 2020 (IF: 3.9) Link.

06. M. S. Munir, S. F. Abedin, N. H. Tran, and C. S. Hong, ”When Edge Computing Meets Microgrid: A Deep Reinforcement Learning Approach,” IEEE Internet of Things Journal (IEEE IoT), vol. 6, no. 5, pp. 7360-7374, Oct. 2019 (IF: 10.6) Link.

05. S. F. Abedin, A. K. Bairagi, M. S. Munir, N. H. Tran, and C. S. Hong, ”Fog Load Balancing for Massive Machine Type Communications: A Game and Transport Theoretic Approach,” IEEE Access (Access), vol. 7, pp. 4204-4218, Dec. 2018 (IF: 3.9) Link.

04. M. G. R. Alam, M. S. Munir, M. Z. Uddin, M. S. Alam, N. D. Tri, and C. S. Hong, “Edge-of-things computing framework for cost-effective provisioning of healthcare data,” Journal of Parallel and Distributed Computing (ELSEVIER JPDC), vol. 123, pp. 54-60, Jan. 2019 (IF: 3.8) Link.

03. A. Adhikary, M. S. Munir, A. D. Raha, M. S. Kim, J. W. Choe, and C. S. Hong, “A Deep Learning Approach for Target-oriented Communication Resource Allocation in Holographic MIMO,” Journal of KIISE (JOK), Vol.46, No.10, pp.441 - 450, May. 2023, Link. [Invited due to KCC 2022 excellent paper]

02. S. F. Abedin, M. S. Munir, S. Kang, and C. S. Hong, “A Transport Theoretic Approach for Computational Task Migration in Multi-Access Edge Computing,” Journal of KIISE (JOK), Vol.46, No.10, pp.1061-1068, Oct. 2019 Link. [Invited due to KSC 2018 best paper]

01. M. S. Munir, S. F. Abedin, M. G. R. Alam, D. H. Kim, and C. S. Hong, ”Smart Agent based Dynamic Data Aggregation for Delay Sensitive Smart City Services”, Journal of KIISE (JOK), vol. 45, no. 4, pp. 395-402, April 2018 Link. [Invited due to KCC 2017 best paper]

Preprints