Harmonic compensation using residential PV interfacing inverter. - Md. Shirajum Munir; Yun Wei Li 001 (IECON, 2012)

A Flexible Harmonic Control Approach Through Voltage-Controlled DG-Grid Interfacing Converters. - Jinwei He; Yun Wei Li 001; Md. Shirajum Munir (IEEE Trans. Ind. Electron., 2012)

Residential Distribution System Harmonic Compensation Using PV Interfacing Inverter. - Md. Shirajum Munir; Yun Wei Li 001 (IEEE Trans. Smart Grid, 2013)

Improved Residential Distribution System Harmonic Compensation Scheme Using Power Electronics Interfaced DGs. - Md. Shirajum Munir; Yun Wei Li 001; Hao Tian 004 (IEEE Trans. Smart Grid, 2016)

Intelligent service fulfillment for software defined networks in smart city. - Md. Shirajum Munir; Sarder Fakhrul Abedin; Md. Golam Rabiul Alam; Nguyen Hoang Tran; Choong Seon Hong (ICOIN, 2018)

Dual threshold load balancing in SDN environment using process migration. - Ashis Talukder; Sarder Fakhrul Abedin; Md. Shirajum Munir; Choong Seon Hong (ICOIN, 2018)

Artificial Intelligence-based Service Aggregation for Mobile-Agent in Edge Computing. - Md. Shirajum Munir; Sarder Fakhrul Abedin; Choong Seon Hong (APNOMS, 2019)

A Multi-Agent System toward the Green Edge Computing with Microgrid. - Md. Shirajum Munir; Sarder Fakhrul Abedin; DoHyeon Kim; Nguyen Hoang Tran; Zhu Han 001; Choong Seon Hong (GLOBECOM, 2019)

A matching based coexistence mechanism between eMBB and uRLLC in 5G wireless networks. - Anupam Kumar Bairagi; Md. Shirajum Munir; Madyan Alsenwi; Nguyen Hoang Tran; Choong Seon Hong (SAC, 2019)

Fog Load Balancing for Massive Machine Type Communications: A Game and Transport Theoretic Approach. - Sarder Fakhrul Abedin; Anupam Kumar Bairagi; Md. Shirajum Munir; Nguyen Hoang Tran; Choong Seon Hong (IEEE Access, 2019)

When Edge Computing Meets Microgrid: A Deep Reinforcement Learning Approach. - Md. Shirajum Munir; Sarder Fakhrul Abedin; Nguyen Hoang Tran; Choong Seon Hong (IEEE Internet Things J., 2019)

Edge-of-things computing framework for cost-effective provisioning of healthcare data. - Md. Golam Rabiul Alam; Md. Shirajum Munir; Md. Zia Uddin; Mohammed Shamsul Alam; Nguyen Dang Tri; Choong Seon Hong (J. Parallel Distributed Comput., 2019)

Pricing Mechanism for Virtualized Heterogeneous Resources in Wireless Network Virtualization. - DoHyeon Kim; Anselme Ndikumana; S. M. Ahsan Kazmi; Kitae Kim 001; Md. Shirajum Munir; Walid Saad; Choong Seon Hong (ICOIN, 2020)

Day-ahead Energy Sharing Schedule for the P2P Prosumer Community Using LSTM and Swarm Intelligence. - Luyao Zou; Md. Shirajum Munir; Kitae Kim 001; Choong Seon Hong (ICOIN, 2020)

Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective. - Anupam Kumar Bairagi; Mehedi Masud; DoHyeon Kim; Md. Shirajum Munir; Abdullah Al Nahid; Sarder Fakhrul Abedin; Kazi Masudul Alam; Sujit Biswas; Sultan S. Alshamrani; Zhu Han 001; Choong Seon Hong (IEEE Access, 2020)

Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System. - Md. Shirajum Munir; Sarder Fakhrul Abedin; Ki Tae Kim 001; DoHyeon Kim; Md. Golam Rabiul Alam; Choong Seon Hong (CoRR, 2020)

Intelligent Grid Shepherd: Towards a Resilient Distributed Energy Resources Control System. - Md. Shirajum Munir; DoHyeon Kim; Seok Won Kang; Luyao Zou; Choong Seon Hong (APNOMS, 2021)

Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks. - Anupam Kumar Bairagi; Md. Shirajum Munir; Madyan Alsenwi; Nguyen Hoang Tran; Sultan S. Alshamrani; Mehedi Masud; Zhu Han 001; Choong Seon Hong (IEEE Trans. Commun., 2021)

Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach. - Sarder Fakhrul Abedin; Md. Shirajum Munir; Nguyen Hoang Tran; Zhu Han 001; Choong Seon Hong (IEEE Trans. Intell. Transp. Syst., 2021)

Risk-Aware Energy Scheduling for Edge Computing With Microgrid: A Multi-Agent Deep Reinforcement Learning Approach. - Md. Shirajum Munir; Sarder Fakhrul Abedin; Nguyen Hoang Tran; Zhu Han 001; Eui-Nam Huh; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2021)

Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems. - Md. Shirajum Munir; Nguyen Hoang Tran; Walid Saad; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2021)

Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement. - Luyao Zou; Md. Shirajum Munir; Ye Lin Tun 001; Choong Seon Hong (APNOMS, 2022)

An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery. - Md. Shirajum Munir; Seong-Bae Park; Choong Seon Hong (ICC, 2022)

Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms. - Apurba Adhikary; Saydul Akbar Murad; Md. Shirajum Munir; Choong Seon Hong (ICOIN, 2022)

Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging. - Md. Shirajum Munir; Ki Tae Kim 001; Kyi Thar; Dusit Niyato; Choong Seon Hong (IEEE Internet Things J., 2022)

Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach. - Luyao Zou; Md. Shirajum Munir; Yan Kyaw Tun; Seok Won Kang; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2022)

Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework. - Apurba Adhikary; Avi Deb Raha; Yu Qiao 004; Md. Shirajum Munir; Ki Tae Kim 001; Choong Seon Hong (APNOMS, 2023)

Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication. - Avi Deb Raha; Apurba Adhikary; Md. Shirajum Munir; Yu Qiao 004; Choong Seon Hong (APNOMS, 2023)

An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface. - Apurba Adhikary; Md. Shirajum Munir; Avi Deb Raha; Yu Qiao 004; Sang Hoon Hong; Eui-Nam Huh; Choong Seon Hong (ICOIN, 2023)

RNN-based Text Summarization for Communication Cost Reduction: Toward a Semantic Communication. - Sumit Kumar Dam; Md. Shirajum Munir; Avi Deb Raha; Apurba Adhikary; Seong-Bae Park; Choong Seon Hong (ICOIN, 2023)

A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Avi Deb Raha; Sang Hoon Hong; Choong Seon Hong (ICOIN, 2023)

An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network. - Avi Deb Raha; Md. Shirajum Munir; Apurba Adhikary; Yu Qiao 004; Seong-Bae Park; Choong Seon Hong (ICOIN, 2023)

Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO. - Apurba Adhikary; Md. Shirajum Munir; Avi Deb Raha; Yu Qiao 004; Choong Seon Hong (NOMS, 2023)

CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Avi Deb Raha; Choong Seon Hong (NOMS, 2023)

Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid. - Md. Shirajum Munir; Sachin Shetty; Danda B. Rawat (WSC, 2023)

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Huy Q. Le; Avi Deb Raha; Chaoning Zhang; Choong Seon Hong (CoRR, 2023)

Generative AI-driven Semantic Communication Framework for NextG Wireless Network. - Avi Deb Raha; Md. Shirajum Munir; Apurba Adhikary; Yu Qiao 004; Choong Seon Hong (CoRR, 2023)

Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network. - Md. Shirajum Munir; Ki Tae Kim 001; Apurba Adhikary; Walid Saad; Sachin Shetty; Seong-Bae Park; Choong Seon Hong (IEEE Internet Things J., 2023)

When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers. - Luyao Zou; Md. Shirajum Munir; Yan Kyaw Tun; Sheikh Salman Hassan; Pyae Sone Aung; Choong Seon Hong (IEEE Internet Things J., 2023)

Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks. - Kitae Kim 001; Yan Kyaw Tun; Md. Shirajum Munir; Walid Saad; Choong Seon Hong (IEEE Commun. Lett., 2023)

An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms. - Md. Bipul Hossain; Anika Shama; Apurba Adhikary; Avi Deb Raha; K. M. Aslam Uddin; Mohammad Amzad Hossain; Imtia Islam; Saydul Akbar Murad; Md. Shirajum Munir; Anupam Kumar Bairagi (Hum. Centric Intell. Syst., 2023)

A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid. - Md. Shirajum Munir; Sravanthi Proddatoori; Manjushree Muralidhara; Walid Saad; Zhu Han 001; Sachin Shetty (ICC, 2024)

An Attention-based AI Model for 3D Beam Prediction in THz Unmanned Aerial Vehicle Communication. - Muhammad Enayetur Rahman; Md. Shirajum Munir; Sachin Shetty (ICNC, 2024)

Detecting Attacks and Optimizing Routes in Radio-frequency Networks Using Machine Learning and Graph Theory. - Manjushree Muralidhara; Md. Shirajum Munir; Sravanthi Proddatoori; Sachin Shetty; Kimberly Gold (NetSoft, 2024)

Energy-Efficient Trajectory and Age of Information Optimization for Urban Air Mobility. - Hyeonsu Kim; Yu Min Park; Pyae Sone Aung; Md. Shirajum Munir; Choong Seon Hong (NOMS, 2024)

Pilot Optimization and Channel Estimation Scheme for Semantic Communication: A Framework for Edge Intelligence. - Kitae Kim 001; Yan Kyaw Tun; Md. Shirajum Munir; Walid Saad; Choong Seon Hong (NOMS, 2024)

A sustainable Bitcoin blockchain network through introducing dynamic block size adjustment using predictive analytics. - Maruf Monem; Md Tamjid Hossain; Md. Golam Rabiul Alam; Md. Shirajum Munir; Md. Mahbubur Rahman; Salman A. AlQahtani; Samah Almutlaq; Mohammad Mehedi Hassan (Future Gener. Comput. Syst., 2024)

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. - Yu Qiao 004; Md. Shirajum Munir; Apurba Adhikary; Huy Q. Le; Avi Deb Raha; Chaoning Zhang; Choong Seon Hong (IEEE Internet Things J., 2024)

Integrated Sensing, Localization, and Communication in Holographic MIMO-Enabled Wireless Network: A Deep Learning Approach. - Apurba Adhikary; Md. Shirajum Munir; Avi Deb Raha; Yu Qiao 004; Zhu Han 001; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2024)

Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach. - Luyao Zou; Md. Shirajum Munir; Sheikh Salman Hassan; Yan Kyaw Tun; Loc X. Nguyen; Choong Seon Hong (IEEE Trans. Veh. Technol., 2024)

Cognitive Behavior-in-the-Loop: Towards an Attentive Driving in Intelligent Transportation Systems. - Md. Shirajum Munir; Kitae Kim 001; Sarder Fakhrul Abedin; Md. Golam Rabiul Alam; Walid Saad; Choong Seon Hong (IEEE Trans. Ind. Informatics, 2024)

A Bayesian Belief Network Framework for Protecting Generative AI-driven Attack in Smart Grid Communication. - Md. Shirajum Munir; Sravanthi Proddatoori; Manjushree Muralidhara; Sachin Shetty (ICNC, 2025)

Deep Learning-Driven Beam and Blockage Forecasting for Reliable mmWave Vehicular Networks. - Muhammad Enayetur Rahman; Md. Shirajum Munir; Sachin Shetty (ICNC, 2025)

Securing Next-Generation Wireless Networks Against Native GenAI Attacks: An Evidence-Theoretic Approach. - Md. Shirajum Munir; Sravanthi Proddatoori; Manjushree Muralidhara; Marco A. Gamarra; Walid Saad; Zhu Han 001; Sachin Shetty (IWCMC, 2025)

Native AI-based Predictive Operational Resiliency in Cyber-Physical Energy Systems. - Sushmitha Halli Sudhakara; Md. Shirajum Munir; Mostafizur Rahman; Sachin Shetty (IWCMC, 2025)

A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks. - Md. Shirajum Munir; Sravanthi Proddatoori; Manjushree Muralidhara; Trinidad Mario Dena; Walid Saad; Zhu Han 001; Sachin Shetty (IEEE Open J. Commun. Soc., 2025)