Sarder Fakhrul Abedin

Universitetslektor, Biträdande|Associate Senior Lecturer

Background

Dr. Sarder Fakhrul Abedin is an associate senior lecturer in Computer Engineering at Mid Sweden University (MIUN) since 2021. In 2013, he received his B.S. degree in Computer Science from Kristianstad University, Sweden, where he received a travel grant from the Bangladesh-Sweden Trust Fund. In 2020, Sarder Fakhrul Abedin received his Ph.D. degree in Computer Engineering from Kyung Hee University (KHU), South Korea. During his Ph.D., he was the President scholarship recipient for his research and studies at KHU. He has vast experience in project management and development of various artificial intelligence and machine learning-based wireless applications, funded by the Brain Korea 21st Century Plus (BK21+) and Ministry of Science ICT, South Korea. In 2020, he received a Postdoctoral fellowship at KHU under the Kyung Hee University-Industry Cooperation Foundation. He has also received the STINT initiation grant while serving as a Postdoctoral researcher at MIUN in 2020. He has several Korean and International patents (pending and granted) and published his works in highly reputable conferences and journals.

Area of interest

Industrial IoT, Wireless Communications, Smart Grid, Network Intelligence, Game Theory

Teaching and tutoring

Computer Engineering MA, Probability and Random Processes, 6 credits
Computer Engineering MA, Simulation and performance analysis of communication systems, 6 hp

Extra contact information

 

List of Publications

Journals
  1. Sarder Fakhrul Abedin, A. Mahmood, N. H. Tran, Z. Han, and M. Gidlund, "Elastic O-RAN Slicing for Industrial Monitoring and Control: A Distributed Matching Game and Deep Reinforcement Learning Approach," in IEEE Transactions on Vehicular Technology, 2022, doi: 10.1109/TVT.2022.3188217. (Link)
  2. Ahmed Alioua, Roumayssa Hamiroune, Oumayma Amiri, Manel Khelifi, Sidi-mohammed Senouci, Mikael Gidlund, Sarder Fakhrul Abedin, "Incentive mechanism for competitive edge caching in 5G-enabled Internet of things," Elsevier Computer Networks, Volume 213, 2022, 109096, ISSN 1389-1286. (Link)
  3. A. Mahmood, Sarder Fakhrul Abedin, T. Sauter, M. Gidlund and K. Landernäs, "Factory 5G: A Review of Industry-Centric Features and Deployment Options," in IEEE Industrial Electronics Magazine, vol. 16, no. 2, pp. 24-34, June 2022. (Link)
  4. A. Mahmood, Luca Beltramelli, Sarder Fakhrul Abedin, Shah Zeb, Nishat I. Mowla, Syed Ali Hassan, Emiliano Sisinni, Mikael Gidlund, "Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends," in IEEE Transactions on Industrial Informatics, vol. 18, no. 6, pp. 4122-4137, June 2022. (Link)
  5. Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran, Zhu Han, Choong Seon Hong, "Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 9, pp. 5994-6006, Sept. 2021. (Link)
  6. M. S. Munir, Sarder Fakhrul 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," in IEEE Transactions on Network and Service Management, vol. 18, no. 3, pp. 3476-3497, Sept. 2021. (Link)
  7. Sarder Fakhrul Abedin, Md. Golam Rabiul Alam, S. M. Ahsan Kazmi, Nguyen H. Tran, Dusit Niyato, and Choong Seon Hong, "Resource Allocation for Ultra-reliable and Enhanced Mobile Broadband IoT Applications in Fog Network," IEEE Transactions on Communications, Vol.67, Issue 1, pp.489-502, January 2019. (Link)
  8. Sarder Fakhrul Abedin, Anupam Kumar Bairagi, MD. Shirajum Munir, Nguyen H. Tran, and Choong Seon Hong, "Fog Load Balancing for Massive Machine Type Communications: A Game and Transport Theoretic Approach," IEEE Access, Vol.7, pp.4204-4218, December 2018. (Link)
  9. Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen H. Tran, Hong, Choong Seon Hong, "When Edge Computing Meets Microgrid: A Deep Reinforcement Learning Approach," IEEE Internet of Things Journal, Vol. 6, Issue 5, pp.7360-7374, October 2019. (Link)
  10. Md Golam Rabiul Alam, Rim Haw, Sung Soo Kim, Abul Kalam Azad, Sarder Fakhrul Abedin, and Choong Seon Hong, "EM-psychiatry: An Ambient Intelligent System for Psychiatric Emergency," IEEE Transactions on Industrial Informatics, pp. 2321-2330, Vol. 12, No. 6, pp. 2321-2330, December 2016. (Link)
  11. Md Golam Rabiul Alam, Sarder Fakhrul Abedin, Moshaddique Al Ameen, and Choong Seon Hong, "Web of Objects Based Ambient Assisted Living Framework for Emergency Psychiatric State Prediction," Sensors, Vol. 16, No. 9, September 2016. (Link)
  12. Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Nguyen H. Tran, Dusit Niyato, and Choong Seon Hong, "QoE-Enabled Unlicensed Spectrum Sharing in 5G: A Game-Theoretic Approach," IEEE Access, vol. 6, pp. 50538-50554, September 2018. (Link)
  13. Sarder Fakhrul Abedin, Md. Shirajum Munir, Seok Won Kang, Choong Seon Hong, "Transfer Theoretical Approach for Computing Task Migration in Multi-Access Edge Computing," Journal of KIISE, Vol. 46, No. 10, pp.1061-1068, 2019.10. (Link)
Conferences
  1. Sarder Fakhrul Abedin, Md Golam Rabiul Alam, Nguyen H. Tran, Choong Seon Hong, "A Fog based System Model for Cooperative IoT Node Pairing using Matching Theory," The 17th Asia-Pacific Network Operations and Management Symposium (APNOMS 2015), Aug 19-21, 2015, Busan, Korea. (Link)
  2. Sarder Fakhrul Abedin, Md Golam Rabiul Alam, Rim Haw, Choong Seon Hong, "A System Model for Energy Efficient Green-IoT Network," The International Conference on Information Networking (ICOIN 2015), Jan 12-14(13), 2015, Siem Reap, Cambodia. (Link)
  3. Sarder Fakhrul Abedin, Md Golam Rabiul Alam, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, "UAV-assisted Intelligent Crowdsourcing in Natural Calamity", The International Symposium on Perception, Action, and Cognitive Systems (PACS 2016), Oct. 27-28, 2016, Seoul, Korea. (Link)
  4. Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Md. Shirajum Munir, Choong Seon Hong, "A Transport Theoretic Approach for Computational Task Migration in Multi-Access Edge Computing ", KSC, 2018.12.19~12.21. (Link)
  5. Sarder Fakhrul Abedin, Md. Golam Rabiul Alam, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, "An Indoor Navigation Service for Visually Impaired People", KCC, 2016.06.29.~07.01. (Link)
  6. Sarder Fakhrul Abedin, Md. Golam Rabiul Alam, Choong Seon Hong, "Learning based Intelligent IoT Task Offloading and Resource Allocation in UAV-assisted Fog Network", ", Korea Computer Congress, KCC, 2017.06.18.~06.20. (Link)
  7. Sarder Fakhrul Abedin, Md. Shirajum Munir, Choong Seon Hong, "LSTM Deep Learning Model for Workload Prediction in Massive Machine Type Communication Networks", Korea Computer Congress, (KCC 2019), 2019.6.26~6.28. (Link)
  8. Md. Shirajum Munir, Sarder Fakhrul Abedin, Choong Seon Hong, "Artificial Intelligence-based Service Aggregation for Mobile-Agent in Edge Computing," The 20th Asia-Pacific Network Operations and Management Symposium(APNOMS 2019), Sep. 18-21, 2019, Matsue, Japan. (Link)
  9. Md. Shirajum Munir, Sarder Fakhrul Abedin, Md.Golam Rabiul Alam, Nguyen H. Tran, Choong Seon Hong, "Intelligent Service Fulfillment for Software Defined Networks in Smart City", The International Conference on Information Networking (ICOIN 2018), Jan. 10-12, 2018, Chiang Mai, Thailand. (Link)
  10. Ashis Talukder, Md. Golam Rabiul Alam, Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Md Abu Layek, Hoang T. Nguyen, Choong Seon Hong, "An Approach of Cost Optimized Influence Maximization in Social Networks", The 19th Asia-Pacific Network Operations and Management Symposium (APNOMS 2017), Seoul, Korea, September 27-29, 2017. (Link)
  11. Ashis Talukder, Md. Golam Rabiul Alam, Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Hoang T. Nguyen, Choong Seon Hong, "The GRIM: Target Marketing in Social Network" The International Symposium on Perception, Action, and Cognitive Systems (PACS 2016), Oct. 27-28, 2016, Seoul, Korea. (Link)
  12. Md Munir Shirajum, Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Sun Moo Kang, Choong Seon Hong, "Temporal Energy Demand Extrapolation for Mobile Edge based on Computational Task in Smart-Grid Framework", KCC, 2017.6.20~6.22 (Link)
  13. Md. Shirajum Munir, Sarder Fakhrul Abedin, Md. Golam Rabiul Alam, Do Hyeon Kim, Choong Seon Hong, "RNN based Energy Demand Prediction for Smart-Home in Smart-Grid Framework", KSC, 2017.12.20.~12.22. (Link)
  14. Md. Golam Rabiul Alam, Sarder Fakhrul Abedin, Seung Il Moon, Ashis Talukder, Anupam Kumar Bairagi, Md. Shirajum Munir, Saeed Ullah, Choong Seon Hong, "Affective Mood Mining Through Deep Recurrent Neural Network", KSC, 2017.12.20.~12.22. (Link)
  15. Md. Golam Rabiul Alam, Sarder Fakhrul Abedin, Seung Il Moon, Choong Seon Hong, "CNN based Mood Mining through IoT-based Physiological Sensors Observation", KCC, 2017.06.18.~06.20. (Link)
  16. Md. Golam Rabiul Alam, Sarder Fakhrul Abedin, Seung Il Moon, Seon Hyeok Kim, Ashis Talukder, Anupam Kumar Bairagi, Saeed Ullah, Choong Seon Hong "Deep Learning based Emotion Recognition through Biosensor Observations", KIISE 2016, 2016.12.21~23 (Link)
  17. Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Choong Seon Hong, "Cooperative Communication for Content Distribution in Downlink Cellular Network", KCC 2016, 2016.06.29.~07.01. (Link)
  18. Ashis Talukder, Rossi Kamal, Anupam Kumar Bairagi, Md Golam Rabiul Alam, Sarder Fakhrul Abedin, Md Abu Layek, Nguyen H. Tran, Choong Seon Hong, "Rumors in the Social Network: Finding the Offenders using Influence Maximization," KCC, 2015.06.24~26. (Link)
  19. Md Golam Rabiul Alam, Sung Soo Kim, Sarder Fakhrul Abedin, Anupam Kumar Bairaggi, Ashis Talukder, Choong Seon Hong, "Prediction of Psychiatric Mental States for Emergency Telepsychiatry," KCC, 2015.06.24~26. (Link)
  20. Md. Golam Rabiul Alam, Tran Hoang Nguyen, Cuong T. Do, Chuan Pham, Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Rim Haw, Choong Seon Hong, "Distributed Reinforcement Learning based Code Offloading in Mobile Fog," KIISE, 2014.12.18~20(18). (Link)
  21. Sarder Fakhrul Abedin, Md. Shirajum Munir, Ashis Talukder, and Choong Seon Hong, "A Reinforcement Learning-based Energy Efficient Trajectory and Communication Optimization for UAV-assisted 5G Network", KSC 2019, 2019.12.18~12.20. (Link)
  22. Md. Shirajum Munir, Sarder Fakhrul Abedin, Kitae Kim, Choong Seon Hong, "Towards Edge Intelligence: Real-Time Driver Safety in Smart Transportation System", KCC 2019, 2019.6.26~6.28. (Link)
Patents
  1. Sungwon Lee, Sarder Fakhrul Abedin, Choong Seon Hong, "Internet of Things Network using Fog Computing Network", Application No. 10-2014-0182722, Registration No. 1015740260000, 2015.11.26 (Applicant: Kyung Hee University Academic Foundation) (Grant) (Link)
  2. Hong, Choong Seon, Shirajum Munir Md, and Sarder Fakhrul Abedin, "Method and system for creating energy demand model." U.S. Patent No. 10,901,388. 26 Jan. 2021. (Applicant: Kyung Hee University Academic Foundation) (Grant) (Link)
  3. Hong, Choong Seon, Sarder Fakhrul Abedin, and Min Kyung Lee. "Multiple unmanned aerial vehicles navigation optimization method and multiple unmanned aerial vehicles system using the same." U.S. Patent Application No. 17/003,598. (Applicant: Kyung Hee University Academic Foundation) (Pending) (Link)

Publications

Articles in journals
Conference papers

Articles in journals

Minhaj, S. U. , Mahmood, A. , Abedin, S. F. , Hassan, S. A. , Bhatti, M. T. , Ali, S. H. & Gidlund, M. (2023). Intelligent Resource Allocation in LoRaWAN Using Machine Learning Techniques. IEEE Access, vol. 11, pp. 10092-10106.  

Mahmood, A. , Abedin, S. F. , O'Nils, M. , Bergman, M. & Gidlund, M. (2023). Remote-Timber : An Outlook for Teleoperated Forestry With First 5G Measurements. IEEE Industrial Electronics Magazine, vol. 17: 3, pp. 42-53.  

Fakhrul Abedin, S. , Mahmood, A. , Tran, N. H. , Han, Z. & Gidlund, M. (2022). Elastic O-RAN Slicing for Industrial Monitoring and Control : A Distributed Matching Game and Deep Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology, vol. 71: 10, pp. 10808-10822.  

Lundberg, H. , Mowla, N. I. , Fakhrul Abedin, S. , Thar, K. , Mahmood, A. , Gidlund, M. & Raza, S. (2022). Experimental Analysis of Trustworthy In-Vehicle Intrusion Detection System using eXplainable Artificial Intelligence (XAI). IEEE Access, vol. 10, pp. 102831-102841.  

Mahmood, A. , Fakhrul Abedin, S. , Sauter, T. , Gidlund, M. & Landernas, K. (2022). Factory 5G : A Review of Industry-Centric Features and Deployment Options. IEEE Industrial Electronics Magazine, vol. 16: 2, pp. 24-34.  

Alioua, A. , Hamiroune, R. , Amiri, O. , Khelifi, M. , Senouci, S. -. , Gidlund, M. & Fakhrul Abedin, S. (2022). Incentive mechanism for competitive edge caching in 5G-enabled Internet of things. Computer Networks, vol. 213  

Mahmood, A. , Beltramelli, L. , Abedin, S. , Zeb, S. , Mowla, N. I. , Hassan, S. A. , Sisinni, E. & Gidlund, M. (2022). Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends. IEEE Transactions on Industrial Informatics, vol. 18: 6, pp. 4122-4137.  

Abedin, S. , Munir, M. S. , Tran, N. H. , Han, Z. & Hong, C. S. (2021). Data Freshness and Energy-Efficient UAV Navigation Optimization : A Deep Reinforcement Learning Approach. IEEE transactions on intelligent transportation systems (Print), vol. 22: 9, pp. 5994-6006.  

Munir, M. S. , Abedin, S. , Tran, N. H. , Han, Z. , Huh, E. & Hong, C. S. (2021). Risk-Aware Energy Scheduling for Edge Computing with Microgrid : A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Network and Service Management, vol. 18: 3, pp. 3476-3497.  

Bairagi, A. K. , Masud, M. , Kim, D. H. , Munir, M. S. , Nahid, A. , Abedin, S. , Alam, K. M. , Biswas, S. & et al. (2020). Controlling the Outbreak of COVID-19 : A Noncooperative Game Perspective. IEEE Access, vol. 8, pp. 215570-215581.    

Conference papers

Friesen, M. , Fakhrul Abedin, S. , Gidlund, M. & Jasperneite, J. (2023). Network Digital Twins : A Key-Enabler for Zero-Touch Management in Industrial Communication Systems. In 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA).  

Khodakhah, F. , Mahmood, A. , Abedin, S. F. , Thar, K. , Österberg, P. & Gidlund, M. (2022). Design and Resource Allocation of NOMA-based Transmission Scheme for Industrial Collaborative AR. In 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings.. pp. 1604--1609.  

Akhtar, M. W. , Mahmood, A. , Abedin, S. , Hassan, S. A. & Gidlund, M. (2022). Exploiting NOMA for Radio Resource Efficient Traffic Steering Use-case in O-RAN. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings.. pp. 5771--5776.  

Mugisha, R. , Mahmood, A. , Abedin, S. , Beltramelli, L. & Gidlund, M. (2021). Joint Power and Blocklength Allocation for Energy-Efficient Ultra- Reliable and Low- Latency Communications. In International Symposium on Wireless Communication Systems (ISWCS).  

The page was updated 11/23/2023