Dr. Ahmad Arsalan

About

AHMAD ARSALAN received a Ph.D. degree in computer science from the COMSATS University, Islamabad, Pakistan, in 2026. Currently, he is working as a full-time Senior Lecturer with the Faculty of Information Technology and Computer Science, University of Central Punjab, Lahore, Pakistan. His research interests include the design and development of future Internet architectures, cross-layer design for wireless ad hoc networks, efficient forwarding along with routing protocols for named data networking-based software-defined networks, and the use of machine learning in wireless communications. He is also serving as a reviewer for IEEE ACCESS, the Journal of Future Generation Computer Systems (Elsevier), and the International Journal of Communication Systems (Wiley).

Employment

• University of Central Punjab Senior Lecturer
  2022 - Present
• Bahria University Senior Lecturer
  2022 - 2023
• Riphah International University - Lahore Campus Lecturer
  2020 - 2022
• Lahore Leads University Lecturer
  2019 - 2020

Education

• COMSATS University Islamabad - Lahore Campus Ph.D.
  2021 - 2026
• National University of Computer and Emerging Sciences Master in Science (Computer Science)
  2016 - 2019
• University of Central Punjab Bachelor's of Science in Computer Science (Honor's)
  2010 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Toward Collaborative Intelligence in Digital Twin-Based Federated Deep Reinforcement Learning: Applications, Case Studies, and Challenges
  IEEE Network 2026 DOI: 10.1109/MNET.2025.3592547
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• Semantic-aware communication and computation co-optimization in digital twin-assisted Internet of Drones networks using federated deep reinforcement learning
  ICT Express 2026 DOI: 10.1016/j.icte.2026.02.001
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• Advancing named data networking: a comprehensive survey on naming and packet lookup mechanisms
  PeerJ Computer Science 2026 DOI: 10.7717/peerj-cs.3551
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• Data driven vehicular heterogeneity based intelligent collision avoidance system for Internet of Vehicles (IoV)
  Iqra Adnan, Tariq Umer, Ahmad Arsalan +3 more
  Digital Communications and Networks 2026 DOI: 10.1016/j.dcan.2025.03.010
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• Edge-Enabled Digital Twin Drone Networks for UAV-IoT Systems: Architecture, Enabling Technologies, and Future Directions
  2026 DOI: 10.2139/ssrn.6825859
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• Urban Digital Twins for Sustainable Smart Cities: A Systematic Literature Review of UAV-Assisted MEC, Federated Intelligence, and Semantic Communications
  Techrxiv 2026 DOI: 10.36227/techrxiv.176948217.76093650/v1
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• AI-Driven Real-Time Roadmark Detection for Pakistan's Urban Traffic Management: A YOLOv11s Approach
  2025 International Conference on Frontiers of Information Technology Fit 2025 2025 DOI: 10.1109/FIT67061.2025.11333595
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• Decentralized Intelligence: A Digital Twin-Assisted Hierarchical Federated Deep Reinforcement Learning Framework for Resource Optimization
  Proceedings 2025 IEEE 45th International Conference on Distributed Computing Systems Workshops Icdcsw 2025 2025 DOI: 10.1109/ICDCSW63273.2025.00125
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• Digital Twin-Driven Federated Deep Reinforcement Learning for Mobility-Aware UAV-IoT Coordination in Smart Agriculture
  Ssrn 2025 DOI: 10.2139/ssrn.5986035
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• ISCC: Intelligent Semantic Caching and Control for NDN-Enabled Industrial IoT Networks
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3614984
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• Next-Gen Internet of Drones: Federated Learning and Digital Twin Synergy for Energy-Efficient Task Allocation and Seamless Service Migration
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3558439
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• Mitigation of Interest Flooding Attack and Controlled Packet Propagation in Named Internet of Vehicles
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3452281
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• Federated Learning Technique in Enabling Data-Driven Design for Wireless Communication
  Data-Driven Intelligence in Wireless Networks 2023 DOI: 10.1201/9781003216971-4
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• A Comprehensive Survey on the Cooperation of Fog Computing Paradigm-Based IoT Applications: Layered Architecture, Real-Time Security Issues, and Solutions
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3294479
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• E-DRAFT: An Efficient Data Retrieval and Forwarding Technique for Named Data Network Based Wireless Multimedia Sensor Networks
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3244247
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• Federated Learning Technique in Enabling Data-Driven Design for Wireless Communication
  Data Driven Intelligence in Wireless Networks Concepts Solutions and Applications 2023 DOI: 10.1201/9781003216971-4
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• Reduced network forwarding with controller enabled named software defined Internet of Mobile Things
  Ad Hoc Networks 2023 DOI: 10.1016/j.adhoc.2023.103235
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• Interest Broadcasting and Timing Attack in IoV (IBTA-IoV): A novel architecture using Named Software Defined Network
  Computer Networks 2022 DOI: 10.1016/j.comnet.2022.109121
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• EPP-LFU: An Efficient Producer Popularity-based LFU Policy for the Applications of Named-Data Network
  2022 24th International Multitopic Conference, INMIC 2022 2022 DOI: 10.1109/INMIC56986.2022.9972919
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• Efficient Distance based Response Time Pruning Cache Policy for NDN
  Proceedings 2022 International Conference on Frontiers of Information Technology Fit 2022 2022 DOI: 10.1109/FIT57066.2022.00038
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