Dr Muhammad Ibrar
Dr Muhammad Ibrar
PhD APPROVED SUPERVISOR

Dr Muhammad Ibrar

Faculty of Information Technology Department of Computer Sciences Software Engineering

Research profile, academic standing, and publication record for postgraduate supervision at The University of Faisalabad.

Profile
Name
Dr Muhammad Ibrar
CNIC No.
4240194950379
Official Contact
PCD No.
-
Scopus / WoS Publications
20
Total Citations
828
H-Index
17
Academic Information
Specialisation
Software Engineering
Postdoctoral Training
1) Postdoctoral Fellow, College of Science and Engineering, Hamad Bin Khalifa University. 2) Computer Science and Technology, Dalian University of Technology, Dalian, China.
Field of Interest
  • • Software-Defined Networking (SDN) & Intelligent Network Management
  • • Edge/Fog Computing & IoT Systems
  • • Artificial Intelligence & Explainable AI (XAI)
  • • Internet of Vehicles (IoV) & Wireless Sensor Networks (WSN)
  • • Advanced Cloud Computing & Distributed Systems
Books / Chapters / Manuals Published
  • Year 2026
    Pricing schemes for demand side management in microgrids. In (eds) "AI-Driven Solutions for Solar Energy Efficiency, Irradiance Modeling, and PV Forecasting". IGI Global Scientific Publishing | https://doi.org/10.4018/979-8-3373-1434-1.ch013
  • Year 2025
    The present, past, and future aspects of XAI in cybersecurity. In (eds.) "AI and Blockchain Applications for Privacy and Security in Smart Medical Systems". IGI Global Scientific Publishing | https://doi.org/10.4018/979-8-3373-0593-6.ch001
  • Year 2025
    Blockchain-based explainable AI for secure and privacy-preserving automated machine learning in IoT-edge for smart medical healthcare. In (eds.) "AI and Blockchain Applications for Privacy and Security in Smart Medical Systems". IGI Global Scientific Publishing | https://doi.org/10.4018/979-8-3373-0593-6.ch003
  • Year 2025
    Artificial intelligence for next generation: social and ethical challenges. In (eds) "Explainable Artificial Intelligence (XAI) for Next Generation Cybersecurity". IET | https://doi.org/10.1049/PBSE027E_ch14
Significant Research Publications