Dr. Muhammad Junaid
Lecturer
Department of Electronic Engineering , Faculty of ICT

m.junaid@buitms.edu.pk

Qualification

Ph.D. (2025)
Electrical Engineering
National University of Sciences & Technology (NUST), Pakistan
Master's (2017)
Electrical Engineering
National University of Sciences & Technology (NUST), Pakistan
Bachelor's (2013)
Electronic Engineering
Balochistan University of Information Technology Engineering and Management Sciences (BUITEMS), Pakistan

Teaching Courses

  • Signals & Systems
  • Data Communication & Networking
  • Mobile Communications
  • Machine Learning
  • Convex Optimization
  • Probability Theory
  • Computer Technology
  • Advanced Wireless Communication
  • Mathematical Methods for AI

Teaching Method

  • Collaborative Learning
  • Spaced Learning
  • Self-learning
  • Gamification
  • Visual, Audio, & Kinesthetic Teaching
  • Expeditionary Learning
  • Inquiry-Based Learning

Research Interest

  • Machine Learning for IoT
  • Network Optimization
  • AI for Wireless Communications
  • DRL-based Resource Optimization in IoT Networks

Awards & Achivements

  • Best Faculty Award
    2019
  • Best Faculty Award
    2018
Dr. Muhammad Junaid is serving as an Assistant Professor in the Department of Electronic Engineering. He earned his Bachelor of Science in Electronic Engineering from Dawood College of Engineering & Technology, Karachi, in 2007. He went on to complete his Master of Science in Electrical Engineering at Universiti Malaya, Malaysia, and later earned his PhD from Universiti Teknologi PETRONAS, Malaysia. His research interests cover a broad spectrum of advanced materials and electronic applications, including nanomaterials, nanostructures (such as graphene, conducting polymers, metal nanowires, and metal oxides), hybrid materials, nanocomposites, transparent electrodes, thin films, and semiconductor devices for optoelectronic, sensing, and electronic applications.

Publications

Energy and spectrum efficient DRL-based algorithms to support sustainable IoT devices
Neha Mazhar, Syed Asad Ullah, Syed Ali Hassan (2026) Academic Press vol. - no. - pp. 127-157
DRL-Driven Dual-Stage Resource Optimization Strategy for Efficient Computational Offloading in MEC-Enabled Vehicular Networks
Mehwish Bibi, Syed Asad Ullah, Haejoon Jung, Syed Ali Hassan (2025) IEEE Transactions on Vehicular Technology vol. - no. - pp. -
Convergence of MEC and DRL in Non-Terrestrial Wireless Networks: Key Innovations, Challenges, and Future Pathways
Syed Asad Ullah, Syed Ali Hassan, Hatem Abou-Zeid, Hassaan Khaliq Qureshi, Haejoon Jung, Aamir Mahmood, Mikael Gidlund, Muhammad Ali Imran, Ekram Hossain (2025) IEEE Communications Surveys & Tutorials vol. - no. - pp. -
Towards Intelligent and Sustainable IoT: A DRL Approach for Backscatter-Based Communication Under QoS Constraints
Hafiz Muhammad Ali Zeeshan, Syed Asad Ullah, Muhammad Sohaib J Solaija, Muhammad Ali Jamshed, Mohammad Mahdi Mojahedian, Haejoon Jung, Syed Ali Hassan (2025) IEEE Open Journal of the Communications Society vol. - no. - pp. -
Multi-Agent Deep Reinforcement Learning for Energy Efficient RIS-assisted CoMP-NOMA Networks
Ahmad Faisal Mirza, Fatima Binte Tanveer, Muhammad Umer, Syed Asad Ullah, Haejoon Jung, Syed Ali Hassan (2025) 2025 IEEE International Conference on Communications Workshops (ICC Workshops) vol. - no. - pp. 1809-1814
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Work Experience

July 2016 to Date
Lecturer at Electronic Engineering
Balochistan University of Information Technology Engineering and Management Sciences (BUITEMS)
September 2025 to October 2025
Visiting Researcher at Electronics and Communication Engineering
Kyung Hee University (KUH)