Tariq Umer

Employment

• COMSATS University Islamabad - Lahore Campus Tenured Associate Professor
  2022 - Present
• COMSATS University Islamabad Assistant Professor
  2012 - 2022

Education

• Lancaster University PhD
  2008 - 2012
• Bahauddin Zakariya University Master of Computer Science
  1995 - 1997

Projects & Funding

Projects & funding information is unavailable.

Publications (238)

• Digital twin-driven federated deep reinforcement learning for mobility-aware UAV-IoT coordination in smart agriculture
  Future Generation Computer Systems 2026 DOI: 10.1016/j.future.2026.108666
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• 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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• 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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• An Ontology-Enabled Approach for the Detection of Software Design Smells
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3590267
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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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• Unraveling the Smart Charging Technologies, Energy Sources, and Regulatory Standards for EVs
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3579428
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• AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
  Journal of Cloud Computing 2024 DOI: 10.1186/s13677-024-00614-y
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• IoT-Driven Smart Housing: Strengthening Housing Society Automation Through Secure and Futuristic Networks
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-3-031-62881-8_25
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• Reduction in Data Imbalance for Client-Side Training in Federated Learning for the Prediction of Stock Market Prices
  Journal of Sensor and Actuator Networks 2024 DOI: 10.3390/jsan13010001
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• Design Patterns for Mobile Games Based on Structural Similarity
  Applied Sciences 2023 DOI: 10.3390/app13021198
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• A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning
  Entropy 2023 DOI: 10.3390/e25010135
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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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• Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3339994
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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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• Social media intention mining for sustainable information systems: categories, taxonomy, datasets and challenges
  Complex and Intelligent Systems 2023 DOI: 10.1007/s40747-021-00342-9
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• Unfolding the blockchain era: Timeline, evolution, types and real-world applications
  Journal of Network and Computer Applications 2022 DOI: 10.1016/j.jnca.2022.103511
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• An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach
  Symmetry 2022 DOI: 10.3390/sym14102098
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• Cognitive Internet of Vehicles and disaster management: A proposed architecture and future direction
  Transactions on Emerging Telecommunications Technologies 2022 DOI: 10.1002/ett.3625
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• Quality of service in IoT protocol as designs and its verification in PVS
  Transactions on Emerging Telecommunications Technologies 2022 DOI: 10.1002/ett.3742
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