Muhammad Adil

About

Muhammad Adil is a computer science researcher specializing in network security, federated learning, industrial IoT, and next-generation communication networks. His research focuses on trustworthy and privacy-preserving AI for cybersecurity, intrusion detection, DDoS resilience, and secure 5G-TSN integrated networks. He has published research in IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Network Science and Engineering, ACM Transactions on Internet Technology, and other international journals and conferences. His current research interests include federated cyber-defence, trustworthy AI, adaptive network security, 5G-TSN, and AI-driven resilient networking.

Employment

• UET Peshawar Network Security Analyst Trainee
  2019 - 2019

Education

• Tianjin University PhD in Computer Science and Technology
  2022 - 2026
• Dalian University of Technology Master of Engineering in Computer Science and Technology
  2019 - 2022
• Abdul Wali Khan University Mardan Bachelor of Studies in Computer Science
  2013 - 2019

Projects & Funding

• China Scholarship Council Scholarship — PhD in Computer Science and Technology China Scholarship Council
  2022 - 2026
• China Scholarship Council Scholarship — Master of Engineering in Computer Science and Technology China Scholarship Council
  2019 - 2022

Publications (23)

• TAPLIDS: A Temporal-Aware Prototype-based Lightweight and Interpretable Intrusion Detection System for Intelligent Transportation Systems
  Computers & Security 2027 DOI: 10.1016/j.cose.2026.105131
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• SpiNet: Spectral-Pattern Routing with Structured Expert Computation for energy-efficient intrusion detection system
  Computer Networks 2026 DOI: 10.1016/j.comnet.2026.112504
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• Selective Federated IDS Framework with Adaptation for Large-scale Segmented Industrial Networks
  Muhammad Adil, Danish Javeed, Prabhat Kumar
  ACM Transactions on Internet Technology 2026 DOI: 10.1145/3808696
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• From evidence to decision: Concept–prototype reasoning for intrusion detection in SDN-based industrial networks
  Computer Networks 2026 DOI: 10.1016/j.comnet.2026.112495
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• Responsible AI: Ethics in Cognitive and Semantic Computing for Enhanced User Experience
  Prabhat Kumar, Danish Javeed, Muhammad Adil +1 more
  Computer 2026 DOI: 10.1109/mc.2026.3665314
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• Spectral Relational Representation Knowledge Distillation for Intrusion Detection in Smart Supply Chain Systems
  IEEE Internet of Things Journal 2026 DOI: 10.1109/jiot.2026.3701887
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• Temporal Irregularity-Aware Attention Mechanism for Industry 5.0 Intrusion Detection
  Danish Javeed, Muhammad Adil, Prabhat Kumar +1 more
  IEEE Internet of Things Journal 2026 DOI: 10.1109/jiot.2026.3701385
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• A hybrid denoising autoencoder and Query-Key attention-based framework for intrusion detection in software defined industrial networks
  Cluster Computing 2026 DOI: 10.1007/s10586-026-06065-1
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• CP-RAG: Mitigating Distracting Content in Retrieval-Augmented Generation for Industrial Knowledge Question Answering
  IEEE Internet of Things Journal 2026 DOI: 10.1109/jiot.2026.3652422
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• SIoV-IDS: SDN-enabled zero-trust framework for explainable intrusion detection in IoVs using Variational Autoencoders and EX-LSTM
  Journal of Network and Computer Applications 2026 DOI: 10.1016/j.jnca.2025.104389
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• Dynamic QoS Mapping in Integrated 5G-TSN Networks With Programmable Resource Slicing
  Muhammad Adil, Tie Qiu, Xiaobo Zhou +2 more
  IEEE Transactions on Network Science and Engineering 2026 DOI: 10.1109/tnse.2025.3632296
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• Federated and Quantized-Based Intrusion Detection for Embedded On-Board Automotive Networks
  Muhammad Adil, Danish Javeed, Prabhat Kumar
  IEEE Transactions on Intelligent Transportation Systems 2026 DOI: 10.1109/tits.2025.3645854
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• Integrated 5G and Time Sensitive Networking for Emerging Applications: A Survey of Advancements, Challenges, and Future Directions
  IEEE Communications Surveys & Tutorials 2026 DOI: 10.1109/comst.2025.3632286
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• An intelligent light-weight intrusion detection system for edge-centric smart logistics system
  Cluster Computing 2025 DOI: 10.1007/s10586-025-05590-9
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• SparsLIME: A Sparsity-Optimized and LIMELight-Illuminated Intrusion Detection Framework for Industrial IoT Networks
  2025 IEEE 25th International Conference on Communication Technology (ICCT) 2025 DOI: 10.1109/icct67417.2025.11374073
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• Spatiotemporal Conditioning With Dynamic Multihead Attention for IoT Intrusion Detection
  Shifa Shoukat, Tianhan Gao, Danish Javeed +2 more
  IEEE Internet of Things Journal 2025 DOI: 10.1109/jiot.2025.3589262
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• Towards secure IoT-enabled transportation: an explainable AI and deep learning-based approach for efficient threat detection
  Cluster Computing 2025 DOI: 10.1007/s10586-025-05473-z
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• A cyber-resilient and explainable intrusion detection system for Internet of Things networks
  Cluster Computing 2025 DOI: 10.1007/s10586-024-05065-3
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• Trust my IDS: An explainable AI integrated deep learning-based transparent threat detection system for industrial networks
  Computers & Security 2025 DOI: 10.1016/j.cose.2024.104191
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• A federated learning-based zero trust intrusion detection system for Internet of Things
  Danish Javeed, Muhammad Shahid Saeed, Muhammad Adil +2 more
  Ad Hoc Networks 2024 DOI: 10.1016/j.adhoc.2024.103540
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