Professional headshot of Mesfin Leranso Betalo, Postdoctoral Research Associate at the University of Calgary.

Dr. Mesfin.L Betalo

Ph.D.

Affiliations

Postdcotoral Associate

Schulich School of Engineering, Department of Civil Engineering

Contact information

Email

mesfin.betalo@ucalgary.ca

Web presence

google scholar

Phone number

Cell: 3685508591

Location

Office: Schulich Building, ENF271

For media enquiries, contact

Please contact me directly by email or phone if you have any questions.

Background

Educational Background

PhD.. Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), 2024

Ms.c. Information Technology, University of Madras, India, 2016

Bs.c. Computer Science, Hawassa University, Ethiopia, 2012

Curriculum Vitae – Dr. Mesfin Leranso Betalo, Postdoctoral Research Associate, Department of Civil Engineering, Schulich School

Biography

Dr. Mesfin Leranso Betalo is a postdoctoral research associate in the Department of Civil Engineering, Schulich School of Engineering, University of Calgary, Canada. He received his Ph.D. in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC). Before joining the University of Calgary, he was a postdoctoral fellow at Shenzhen University, China, where he researched artificial intelligence, advanced wireless communications, UAV-assisted networks, and intelligent systems.

Prior to his postdoctoral appointments, Dr. Betalo served as an assistant professor and senior lecturer at Wachemo University, Ethiopia, contributing to teaching, research, student supervision, curriculum development, and postgraduate academic activities. He also previously worked as a network administrator at Wolaita Sodo University and an ICT instructor at Boditi Industrial and Construction College, respectively.

Dr. Betalo has published research in peer-reviewed venues including IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Network and Service Management, IEEE Transactions on Vehicular Technology, and Scientific Reports. He also contributes to the international research community through extensive peer-review activities.

Current Research Areas: His current research focuses on AI-enabled intelligent transportation systems, generative AI, digital twins, multi-agent reinforcement learning, traffic prediction and optimization, UAV-assisted intelligent systems, environmental and transportation data analytics, and AI-driven decision-making for resilient and sustainable transportation systems.

Research Interests: His broader research interests include artificial intelligence, machine learning, deep learning, generative AI, foundation models, digital twins, multi-agent reinforcement learning, federated learning, graph neural networks, edge AI, 6G and beyond-5G wireless networks, V2X communications, UAV-assisted networks, wireless sensor networks, the Internet of Things (IoT), Space-Air-Ground Integrated Networks (SAGIN), cyber-physical systems, intelligent transportation systems, smart cities, autonomous networking, resource optimization, and trustworthy AI.

Projects

AI-Enabled Intelligent Transportation Systems and Digital Twins

Development of AI-driven intelligent transportation frameworks integrating digital twins, multi-agent reinforcement learning, generative AI, graph-based learning, and UAV-assisted systems. The research focuses on traffic prediction, cooperative decision-making, task offloading, resource allocation, trajectory optimization, and real-time system intelligence for connected and autonomous transportation environments. The work aims to improve transportation efficiency, reliability, sustainability, and resilience through AI-native and data-driven approaches.

More Information

My research contributions in Artificial Intelligence, Generative AI, Digital Twins, Multi-Agent Reinforcement Learning, 6G wireless systems, UAV networks, and Intelligent Transportation Systems are available through my Google Scholar, ORCID (0000-0001-7529-0696), Scopus (Author ID: 57468908400), and LinkedIn profiles.

 

  1. M. L. Betalo, A. Mohamed, A. Sharafian, Z. Wu, J. Li, and X. Bai, “Meta-Learning-Enhanced Task Assignment and Resource Scheduling for UAV-Assisted Wireless Sensor Networks in 6G-Enabled Intelligent Transportation Systems,” IEEE Transactions on Mobile Computing, 2026. DOI: 10.1109/TMC.2026.3696005
  2. M. L. Betalo, I. Ullah, F. B. Tesema, Z. Wu, J. Li, and X. Bai, “Generative AI-Driven Multi-Agent Deep Reinforcement Learning for Task Allocation in UAV-Assisted EMPD within 6G-Enabled SAGIN Networks,” IEEE Internet of Things Journal, 2025. DOI: 10.1109/JIOT.2025.3579780
  3. M. L. Betalo, Z. Wu, J. Li, X. Bai, W. Zhang, and S. S. Ge, “RIS-Assisted UAV-Based Dynamic Coverage Control for 6G-Enabled Internet of Everything Using Multi-Agent Deep Reinforcement Learning,” IEEE Transactions on Automation Science and Engineering, 2025. DOI: 10.1109/TASE.2025.3638763
  4. M. L. Betalo, S. Leng, A. M. Seid, H. N. Abishu, and X. Bai, “Dynamic Charging and Path Planning for UAV-Powered Rechargeable Wireless Sensor Networks Using Multi-Agent Deep Reinforcement Learning,” IEEE Transactions on Automation Science and Engineering, 2025. DOI: 10.1109/TASE.2025.3558945
  5. M. L. Betalo, A. M. Seid, H. N. Abishu, S. Leng, M. Fakirah, A. Erbad, and M. Guizani, “Multi-Agent Deep Reinforcement Learning-Based Energy Harvesting for Freshness of Data in UAV-Assisted Wireless Sensor Networks,” IEEE Transactions on Network and Service Management, 2024. DOI: 10.1109/TNSM.2024.3454217
  6. M. L. Betalo, S. Leng, H. N. Abishu, F. A. Dharejo, A. M. Seid, A. Erbad, R. A. Naqvi, and M. Guizani, “Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks,” IEEE Transactions on Vehicular Technology, 2024. DOI: 10.1109/TVT.2023.3330661
  7. I. Ullah, H. Bilal, A. Sharafian, M. L. Betalo, S. A. Samy, and X. Bai, “The Internet of Nature Things: A New Frontier in Environmental Monitoring and Sustainable Ecosystem Management,” IEEE Internet of Things Journal, 2026. DOI: 10.1109/JIOT.2025.3642935
  8. F. Wayesa, M. L. Betalo, G. Asefa, and A. Kedir, “Pattern-Based Hybrid Book Recommendation System Using Semantic Relationships,” Scientific Reports, 2023. DOI: 10.1038/s41598-023-30987-0
  9. E. Bekele, T. Beshah, and M. L. Betalo, “Bidirectional English to Wolaytta Machine Translation Using Hybrid Approach,” International Journal of Soft Computing and Engineering, 2025. DOI: 10.35940/ijsce.B1028.15020525