24. M. S. Munir, S. Proddatoori, M. Muralidhara, T. M. Dena, W. Saad, Z. Han, and S. Shetty, ”A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks.”, IEEE Open Journal of the Communications Society (IEEE OJCOMS), vol. 6, pp. 6045-6065, 2025, July 2025.
23. H. Kim, P. S. Aung, M. S. Munir, W. Saad, and C. S. Hong, ”Cooperative Urban Air Mobility Trajectory Design for Power and AoI Optimization: A Multi-agent Reinforcement Learning Approach.”, IEEE Transactions on Vehicular Technology (IEEE TVT), vol. 74, no. 9, pp. 14799-14804, September 2025.
22. M. S. Munir, K. T. Kim, S. F. Abedin, M. G. R. Alam, W. Saad, and C. S. Hong, ”Cognitive Behavior-in-the-Loop: Towards an Attentive Driving in Intelligent Transportation Systems.”, IEEE Transactions on Industrial Informatics (IEEE TII), vol. 20, no. 12, pp. 14469-14478, December 2024.
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]
Conference and Symposium Papers
50. M. S. Munir, S. Proddatoori, M. Muralidhara, M. Gamarra, W. Saad, Z. Han, and S. Shetty, “Securing NextGeneration Wireless Networks Against Native GenAI Attacks: An Evidence-Theoretic Approach,” 21st International Wireless Communications & Mobile Computing Conference, IWCMC 2025, 12–16 May 2025, Abu Dhabi, UAE, Hybrid Event.
49. S. H. Sudhakara, M. S. Munir, and S. Shetty, “Native AI-based Predictive Operational Resiliency in CyberPhysical Energy Systems,” 21st International Wireless Communications & Mobile Computing Conference, IWCMC 2025, 12–16 May 2025, Abu Dhabi, UAE, Hybrid Event.
48. T. D. Hayes, K. R. Dearman, M. Rahman, and M. S. Munir, “User Utility in Tiered Spectrum-Shared Markets,” SoutheastCon 2025, 22-30 March 2025, pp. 1324-1325, Concord, NC, USA.
47. M. S. Munir, S. Proddatoori, M. Muralidhara, and S. Shetty, "A Bayesian Belief Network Framework for Protecting Generative AI-driven Attack in Smart Grid Communication," International Conference on Computing, Networking and Communications (ICNC 2025), Feb 2025, Honolulu, Hawaii, USA.
46. M. E. Rahman, M. S. Munir, and S. Shetty, "Deep Learning-Driven Beam and Blockage Forecasting for Reliable mmWave Vehicular Networks " International Conference on Computing, Networking and Communications (ICNC 2025), Feb 2025, Honolulu, Hawaii, USA.
45. M. S. Munir, S. Proddatoori, M. Muralidhara, W. Saad, Z. Han, and S. Shetty, “A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid,” 2024 IEEE International Conference on Communications (ICC), June 2024, Denver, CO, USA.
44. M. Muralidhara, M. S. Munir, S. Proddatoori, and S. Shetty, “Detecting Attacks and Optimizing Routes in Radio-frequency Networks Using Machine Learning and Graph Theory,” 2024 IEEE Conference on Network Softwarization (NetSoft 2024), June 2024, St. Louis, MO, USA
43. K. Kim, Y. K. Tun, M. S. Munir, W. Saad, and C. S. Hong, "Pilot Optimization and Channel Estimation Scheme for Semantic Communication: A Framework for Edge Intelligence," NOMS 2024-2024 IEEE Network Operations and Management Symposium, Seoul, Republic of Korea.
42. H. Kim, Y. M. Park, P. S. Aung, M. S. Munir, and C. S. Hong, "Energy-Efficient Trajectory and Age of Information Optimization for Urban Air Mobility," NOMS 2024-2024 IEEE Network Operations and Management Symposium, Seoul, Korea, Republic of, 2024.
41. M. E. Rahman, M. S. Munir, and S. Shetty, “An Attention-based AI Model for 3D Beam Prediction in THz Unmanned Aerial Vehicle Communication,” Proceedings of the International Conference on Computing, Networking and Communications (ICNC 2024), February 19, 2023, Big Island, Hawaii, USA.
40. M. S. Munir, S. Shetty, and D. B. Rawat, “Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid,” Proceedings of the 2023 Winter Simulation Conference (WSC 2023), Dec. 13, 2023, San Antonio, USA.
39. A. Adhikary, M. S. Munir, A. D. Raha, Y. Qiao, and C. S. Hong, “Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO,” IEEE/IFIP Network Operations and Management Symposium (NOMS) (NOMS 2023), 8–12 May 2023, Miami, FL, USA.
38. Y. Qiao, M. S. Munir, A. Adhikary, A. D. Raha, and C. S. Hong, “CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity,” IEEE/IFIP Network Operations and Management Symposium (NOMS) (NOMS 2023), 8–12 May 2023, Miami, FL, USA.
37. A. D. Raha, M. S. Munir, A. Adhikary, Y. Qiao, S-B Park, and C. S. Hong, “An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network,” 37th International Conference on Information Networking (ICOIN) (ICOIN 2023), 2023, Bangkok, Thailand, Link.
36. A. Adhikary, M. S. Munir, A. D. Raha, Y. Qiao, S. H. Hong, E-N Huh, and C. S. Hong, “An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface,” 37th International Conference on Information Networking (ICOIN) (ICOIN 2023), 2023, Bangkok, Thailand, Link.
35. S. K. Dam, M. S. Munir, A. D. Raha, A. Adhikary, S-B Park, and C. S. Hong, “RNN-Based Text Summarization for Communication Cost Reduction: Toward a Semantic Communication,” 37th International Conference on Information Networking (ICOIN) (ICOIN 2023), 2023, Bangkok, Thailand, Link.
34. Y. Qiao, M. S. Munir, A. Adhikary, A. D. Raha, and C. S. Hong, “A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence,” 37th International Conference on Information Networking (ICOIN) (ICOIN 2023), 2023, Bangkok, Thailand, Link.
33. M. S. Munir, S. B. Park, and C. S. Hong, “An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery,” 2022 IEEE International Conference on Communications (ICC 2022), pp. 4787-4793, May 16-20, 2022, Seoul, Korea. Link. [Presenter].
32. L. Zou, M. S. Munir, Y. L. Tun, and C. S. Hong, “Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement,” 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS) (APNOMS 2022), 2022, Japan, Link. [Best paper award]
31. A. Adhikary, S. A. Murad, M. S. Munir, and C. S. Hong, “Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms,” 2022 International Conference on Information Networking (ICOIN) (ICOIN 2022), 2022, pp. 417-422, Jeju, Korea, Link.
30. M. S. Munir, D. H. Kim, S. Kang, L. Zou, and C. S. Hong, “Intelligent Grid Shepherd: Towards a Resilient Distributed Energy Resources Control System,” 2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS 2021), Sep. 8-10, 2021, Tainan, Taiwan (Hybrid), Link. [Presenter].
29. L. Zou, M. S. Munir, K. T. Kim, and C. S. Hong, “Day-ahead Energy Sharing Schedule for the P2P Prosumer Community Using LSTM and Swarm Intelligence,” The International Conference on Information Networking (ICOIN 2020), pp. 396- 401, January 7-10, 2020, Barcelona, Spain, Link.
28. D. H. Kim, A. Ndikumana, S. M. A. R. Kazmi, K. T. Kim, M. S. Munir, W. Saad, and C. S. Hong, “Pricing Mechanism for Virtualized Heterogeneous Resources in Wireless Network Virtualization,” The International Conference on Information Networking (ICOIN 2020), pp. 366-371, January 7-10, 2020, Barcelona, Spain, Link.
27. M. S. Munir, S. F. Abedin, D. H. Kim, N. H. Tran, Z. Han, and C. S. Hong, “A Multi-Agent System Toward the Green Edge Computing with Microgrid,” 2019 IEEE Global Communications Conference (GLOBECOM 2019) , Waikoloa, Hawaii, USA, Dec. 2019, Link. [Presenter].
26. M. S. Munir, S. F. Abedin, and C. S. Hong, “Artificial Intelligence-based Service Aggregation for Mobile-Agent in Edge Computing,” 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS 2019), Sep. 18-20, 2019, Matsue, Japan, Link. [Presenter].
25. A. K. Bairagi, M. S. Munir, M. Alsenwi, N. H. Tran and C. S. Hong, “A Matching Based Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks,” The 34th ACM/SIGAPP Symposium on Applied Computing (SAC 2019), pp. 2377-2384, April 8-12, 2019, Limassol, Cyprus, Link.
24. M. S. Munir, S. F. Abedin, M. G. R. Alam, N. H. Tran, and C. S. Hong, ”Intelligent Service Fulfillment for Software Defined Networks in Smart City”,The International Conference on Information Networking (ICOIN 2018), pp. 516-521, Jan. 10-12, 2018, Chiang Mai, Thailand, Link. [Presenter].
23. A. Talukder, S. F. Abedin, M. S. Munir, and C. S. Hong, “Dual Threshold Load Balancing in SDN Environment Using Process Migration,” The International Conference on Information Networking (ICOIN 2018), pp. 791-796, Jan. 10-12, 2018, Chiang Mai, Thailand, Link.
22. A. Adhikary, M. S. Munir, and C. S. Hong, “Target Oriented Communication Resource Allocation for Holographic MIMO using Sequential Neural Network Model,” Korea Computer Congress 2022 (KCC 2022), pp. 1,402 - 1,404, June 2022, Jeju, Korea, Link. [Excellent paper award]
21. Y. Qiao, M. S. Munir, and C. S. Hong, “An Optimized Computation Offloading and Resource Allocation Strategy in Mobile Edge Computing Using Deep Reinforcement Learning,” Korea Computer Congress 2022 (KCC 2022), pp. 190 - 192, June 2022, Jeju, Korea, Link.
20. A. D. Raha, M. S. Munir, and C. S. Hong, “A Federated Architecture for Proactive Infotainment Content Caching in Moving Edge,” Korea Computer Congress 2022 (KCC 2022), pp.1,420 - 1,422, June 2022, Jeju, Korea, Link.
19. M. S. Munir, D. H. Kim, S. M. Kang, Y. W. Kim, and C. S. Hong, ”Fresh Aggregator for Intelligent Energy Regulation in Smart Grid Framework”, Korea Computer Congress 2021 (KCC 2021), pp. 1243-1245, June 23-25, 2021, Jeju, Korea (Hybrid), Link. [Best paper award] [Presenter].
18. M. S. Munir, D. H. Kim, S. M. Kang, and C. S. Hong, “Intelligent Agent Meets with TSO and DSO for a Stable Energy Market: Towards a Grid Intelligence,” Korea Software Congress 2020 (KSC 2020), pp. 857-859, December 21-23, 2020, Virtual Event, Korea, Link. [Excellent paper award]. [Presenter].
17. M. S. Munir, S. F. Abedin, D. H. Kim, and C. S. Hong, “A Risk-sensitive Social Distance Recommendation System via Bluetooth Towards the COVID-19 Private Safety,” Korea Computer Congress 2020 (KCC 2020), pp. 1028-1030, July 2020, Virtual Event, Korea, Link. [Excellent paper award] [Presenter].
16. M. S. Munir, S. F. Abedin, A. Talukder, and C. S. Hong, “Energy Demand Scheduling for Autonomous and Connected Vehicle Swarms in Smart Transportation System,” Korea Software Congress 2019 (KSC 2019), pp. 939-941, December 18-20, 2019, Pyeongchang, Korea, Link. [Presenter].
15. M. S. Munir, S. F. Abedin, K. T. Kim, and C. S. Hong, “Towards Edge Intelligence: Real-Time Driver Safety in Smart Transportation System,” Korea Computer Congress 2019 (KCC 2019), pp. 1336-1338, June 26-28, 2019, Jeju, Korea, Link.
14. S. F. Abedin, M. S. Munir, A. Talukder, and C. S. Hong, “A Reinforcement Learning-based Energy Efficient Trajectory and Communication Optimization for UAV-assisted 5G Network,” Korea Software Congress 2019 (KSC 2019), pp. 945- 947, December 18-20, 2019, Pyeongchang, Korea, Link.
13. A. Talukder, S. F. Abedin, M. S. Munir, and C. S. Hong, “Reverse Influence Maximization for the Competitive Market in Dynamic Social Networks,” Korea Software Congress 2019 (KSC 2019), pp. 1233-1235, December 18-20, 2019, Pyeongchang, Korea, Link.
12. S. F. Abedin, M. S. Munir, and C. S. Hong, “LSTM Deep Learning Model for Workload Prediction in Massive Machine Type Communication Networks,” Korea Computer Congress 2019 (KCC 2019), pp. 1312-1314, June 26-28, 2019, Jeju, Korea, Link.
11. M. S. Munir, and C. S. Hong, “Meta-Reinforcement Learning for Proactive Energy Demand Scheduling in Smart City with Edge Computing,” Korea Software Congress 2018 (KSC 2018), pp. 495-497, December 19-21, 2018, Pyeongchang, Korea, Link. [Presenter].
10. A. K. Bairagi, M. S. Munir, S. F. Abedin, and C. S. Hong, “Utilization of Unlicensed Spectrum in Effective Coexistence of eMBB and uRLLC,” Korea Software Congress 2018 (KSC 2018), pp. 1058-1060, December 19-21, 2018, Pyeongchang, Korea, Link.
09. S. F. Abedin, A. K. Bairagi, M. S. Munir, and C. S. Hong, “A Transport Theoretic Approach for Computational Task Migration in Multi-Access Edge Computing,” Korea Software Congress 2018 (KSC 2018), pp. 328-330, December 19-21, 2018, Pyeongchang, Korea, Link. [Best paper award]
08. M. S. Munir, S. F. Abedin, A. K. Bairagi, S. M. Kang, and C. S. Hong, “Temporal Energy Demand Extrapolation for Mobile Edge based on Computational Task in Smart-Grid Framework,” Korea Computer Congress 2018 (KCC 2018), pp. 395-397, June 20-22, 2018, Jeju, Korea, Link. [Presenter].
07. A. K. Bairagi, M. S. Munir, S. F. Abedin, and C. S. Hong, “Coexistence of eMBB and uRLLC in 5G Wireless Networks,” Korea Computer Congress 2018 (KCC 2018), pp. 1377-1379, June 20-22, 2018, Jeju, Korea, Link. [Best paper presentation award]
06. S. F. Abedin, A. K. Bairagi, M. S. Munir, and C. S. Hong, “A Cooperative Game based Spatial Correlation-aware Resource Allocation for Narrowband Internet of Things,” Korea Computer Congress 2018 (KCC 2018), pp. 392-394, June 20-22, 2018, Jeju, Korea, Link.
05. M. S. Munir, D. H. Kim, S. M. Kang, and C. S. Hong, “Intelligent Public DR Management for Smart Home with Interworking IoT Platform,” Korean Network Operations and Management (KNOM 2018), May 10-11, 2018, Jeju, Korea, Link. [Presenter].
04. M. S. Munir, S. F. Abedin, M. G. R. Alam, D. H. Kim, and C. S. Hong, “RNN based Energy Demand Prediction for Smart-Home in SmartGrid Framework,” Korea Software Congress 2017 (KSC 2017), pp. 437-439, December 20- 22, 2017, Busan, Korea, Link. [Presenter].
03. S. F. Abedin, M. S. Munir, M. G. R. Alam, and C. S. Hong, “Energy Efficient Crowd sourcing for Internet of Things Applications over NBIoT Networks,” Korea Software Congress 2017 (KSC 2017), pp. 434-436, December 20-22, 2017, Busan, Korea, Link.
02. M. S. Munir, M. G. R. Alam, and C. S. Hong, “Smart Agent Based Data Aggregation for Smart City,” Korea Computer Congress 2017 (KCC 2017), pp. 436-438, June 2017, Jeju, Korea, Link. [Best paper award] [Presenter].
01. M. S. Munir, M. A. Alam and S. M. M. Karim, ”Data exchange: Query answering for positive query with at most one inequality,” 2010 13th International Conference on Computer and Information Technology (ICCIT), December 2010, pp. 312-316, Dhaka, Bangladesh, Link. [Presenter].
06. C. S. Hong, M. S. Munir, S. F. Abedin, and D. H. Kim, “Method and system for creating energy demand model”, Patent no. US10901388B2, Registration granted. 26 Jan. 2021. (Patentee: Kyung Hee University Industry-Academy Collaboration Foundation) Link.
05. C. S. Hong, M. S. Munir, S. F. Abedin, and D. H. Kim, “METHOD AND SYSTEM FOR CREATING ENERGE DEMAND MODEL”, Patent no. 10-2109418-0000, Registration granted. 12 May 2020. (Patentee: Kyung Hee University Industry-Academy Collaboration Foundation) Link.
04. C. S. Hong, A. K. Bairagi, M. S. Munir, and K. T. Kim, “Method and System for coexistence of eMBB and uRLLC in 5G Network”, Patent no. 10-2109709-0000, Registration granted. 12 May 2020. (Patentee: Kyung Hee University Industry-Academy Collaboration Foundation) Link.
03. C. S. Hong, M. S. Munir, and K. T. Kim, “System model of smart infrastructure for artificial intelligence service aggregation by self-moveable equipment”, Application no. 10-2019-0152773, Applied Korean patent. 25 November 2019. (Patentee: Kyung Hee University Industry-Academy Collaboration Foundation).
02. C. S. Hong, M. S. Munir, and D. H. Kim, “METHOD, APPARATUS AND SYSTEM FOR MANAGING ENERGY IN SELF POWERED NETWORK”, Application no. 17/002,530, Applied US patent. 25 August 2020. (Patentee: Kyung Hee University Industry-Academy Collaboration Foundation).
01. C. S. Hong, M. S. Munir, and D. H. Kim, “METHOD, APPARATUS AND SYSTEM FOR MANAGING ENERGY IN SELF POWERED NETWORK”, Application no. 10-2020-0106769, Applied Korean patent. 25 August 2020. (Patentee: Kyung Hee University Industry-Academy Collaboration Foundation)
01. Information technology - Home Electronic System (HES) application model - Part 51: Framework of a narrow AI engine for a premises energy management system using energy management agents (Project home). IEC ISO/IEC JTC 1/SC 25: INTERCONNECTION OF INFORMATION TECHNOLOGY EQUIPMENT.