Call Us +41 111 128 128

Hafiz Abdul Mateen

Hafiz Abdul Mateen

Lecturer
  • Department of Computer Science
  • abdul.mateen@nu.edu.pk
  • (041) 111-128-128

Introduction

Abdul Mateen is a Lecturer in the Department of Computer Science at FAST-NUCES, Chiniot-
Faisalabad Campus. He completed his MS in Computer Science at COMSATS University
Islamabad in 2019 and BS in Computer Science from the University of Sargodha in 2017.

His research applies artificial intelligence and machine learning to networked and cyber-physical
systems. His earlier work covered wireless sensor networks, underwater sensor networks, smart grid
energy management and blockchain-based trust models. His current work focuses on intrusion
detection for the Internet of Medical Things, sports analytics, and generative AI use in computing
education.

He has 21 publications, published or accepted, in journals, conferences and edited volumes,
including IEEE Access, Alexandria Engineering Journal, Array, Sensors and Energies. His work
has received more than 550 citations on Google Scholar, with an h-index of 10 and an i10-index of
10. He collaborates with researchers in Pakistan and abroad.

Education

MS (CS), COMSATS (2019)

BS (CS) , University of Sargodha (2017)

Publications

  1. Journnal Papers
  3. Mateen, M. Wasim, A. Ahad, T. Ashfaq, M. Iqbal, and A. Ali, “Smart energy management system for minimizing electricity cost and peak to average ratio in residential areas with hybrid genetic flower pollination algorithm,” Alexandria Engineering Journal, vol. 77, pp. 593–611, 2023, doi: 10.1016/j.aej.2023.06.053.
  4. Mateen, M. Awais, N. Javaid, F. Ishmanov, M. K. Afzal, and S. Kazmi, “Geographic and opportunistic recovery with depth and power transmission adjustment for energy-efficiency and void hole alleviation in UWSNs,” Sensors, vol. 19, no. 3, Art. no. 709, 2019, doi: 10.3390/s19030709.
  5. Javaid and A. Mateen, “A secure and efficient trust model for wireless sensor IoTs using blockchain,” IEEE Access, vol. 10, pp. 4568–4579, 2022, doi: 10.1109/ACCESS.2022.3140401.
  6. Ahad, Z. Ali, A. Mateen, M. Tahir, A. Hannan, N. M. Garcia, and I. M. Pires, “A comprehensive review on 5G-based smart healthcare network security: Taxonomy, issues, solutions and future research directions,” Array, vol. 18, Art. no. 100290, 2023, doi: 10.1016/j.array.2023.100290.
  7. Ahmad, N. Javaid, A. Mateen, M. Awais, and Z. A. Khan, “Short-term load forecasting in smart grids: An intelligent modular approach,” Energies, vol. 12, no. 1, Art. no. 164, 2019, doi: 10.3390/en12010164.
  8. Ashfaq, M. I. Khalid, G. Ali, M. El-Affendi, J. Iqbal, S. Hussain, S. S. Ullah, A. S. Yahaya, R. Khalid, and A. Mateen, “An efficient and secure energy trading approach with machine learning technique and consortium blockchain,” Sensors, vol. 22, no. 19, Art. no. 7263, 2022, doi: 10.3390/s22197263.
  9. Ahmed, A. Khan, A. Fatima, A. Mateen, S. Saremi, R. Shibl, S. Rajaei, and M. Mirzaei, “Crisis-induced hybrid learning, cognitive offloading, and generative AI reliance among Pakistani CS undergraduates,” in Education Innovations: Systems and Future Learning, Emerald Publishing, 2026.
  11. Conferenece Papers
  12. Mateen, H. Ahmed, S. Saremi, R. Shibl, M. Mirzaei, A. Bedford, E. Mealy, and M. Wang, “BPARC: Bilaterally player-aware resource compensation for rain-interrupted limited-overs cricket matches,” in Proc. 18th Australasian Conf. Mathematics and Computers in Sport, 2026.
  13. Mateen, A. Ahad, S. Zia, I. Shayea, and S. Ali, “Energy-efficient routing to prevent void holes in heterogeneous 5G wireless sensor network using game theory,” in Proc. Int. Conf. Smart Computing and Application (ICSCA), Hail, Saudi Arabia, IEEE, 2023, pp. 1–6, doi: 10.1109/ICSCA57840.2023.10087702.
  14. Mateen, J. Tanveer, A. Ullah, N. A. Khan, M. Rehman, and N. Javaid, “One step forward: Towards a blockchain based trust model for WSNs,” in Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2019), LNNS, vol. 96, Springer, 2019, pp. 57–69.
  15. Mateen, N. Javaid, M. Bilal, M. A. Farooq, Z. A. Khan, and F. Riaz, “Towards optimizing energy efficiency and alleviating void holes in UWSN,” in Proc. Int. Conf. Emerging Internetworking, Data & Web Technologies (EIDWT), Springer, 2019.
  16. Mateen, N. Javaid, M. Awais, N. Khan, U. Latif, and I. Ullah, “Bio-inspired optimization techniques for home energy management in smart grid,” in Proc. 32nd Int. Conf. Advanced Information Networking and Applications Workshops (WAINA), IEEE, 2018, pp. 250–257.
  17. A. Butt, A. Mateen, N. Javaid, and Z. A. Khan, “Towards the void hole alleviation for energy efficiency in WSN,” in Proc. 5th HCT Information Technology Trends (ITT), IEEE, 2018, pp. 318–324.
  18. Awais, A. Mateen, Z. A. Khan, and N. Javaid, “A survey on multi-hop routing protocols for efficient resource allocation in IoTs,” in Proc. 5th HCT Information Technology Trends (ITT), IEEE, 2018, pp. 239–244.
  19. Ahmed, G. Dermody, A. Mateen, S. Saremi, and R. Shibl, “Intrusion detection for the Internet of Medical Things: A cost-aware comparative benchmark of machine learning approaches,” in Emerging Technologies and Systems: Proc. Mediterranean Conf. Emerging Technologies and Systems (MCETS 2026), Larnaca, Cyprus, Oct. 2026, to appear.
  20. Awais, N. Javaid, A. Mateen, N. Khan, A. Mohiuddin, and M. H. A. Rehman, “Meta heuristic and nature inspired hybrid approach for home energy management using flower pollination algorithm and bacterial foraging optimization technique,” in Proc. IEEE 32nd Int. Conf. Advanced Information Networking and Applications (AINA), IEEE, 2018, pp. 882–891.
  21. Awais, Z. A. Khan, N. Javaid, A. Mateen, A. Rasul, and F. Hassan, “Cluster-based routing protocols with adaptive transmission range adjustment in UWSNs,” in Proc. Int. Conf. Emerging Internetworking, Data & Web Technologies (EIDWT), Springer, 2019, pp. 528–539.
  22. Khan, N. Javaid, M. Khan, A. Subhani, A. Mateen, and A. Iqbal, “Harmony pigeon inspired optimization for appliance scheduling in smart grid,” in Proc. IEEE 32nd Int. Conf. Advanced Information Networking and Applications (AINA), IEEE, 2018, pp. 1060–1069.
  23. M. B. Arshad, Z. Ali, A. Raza, H. Ahmed, A. Moeed, and A. Mateen, “ARTP: A safety-conscious autonomous red-team planner for penetration testing,” in Emerging Technologies and Systems: Proc. Mediterranean Conf. Emerging Technologies and Systems (MCETS 2026), Larnaca, Cyprus, Oct. 2026, to appear.
  24. Javaid, I. Ullah, S. S. Zarin, M. Kamal, B. Omoniwa, and A. Mateen, “Differential-evolution-earthworm hybrid meta-heuristic optimization technique for home energy management system in smart grid,” in Proc. Int. Conf. Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Springer, 2018, pp. 15–31.
  25. Latif, N. Javaid, S. S. Zarin, M. Naz, A. Jamal, and A. Mateen, “Cost optimization in home energy management system using genetic algorithm, bat algorithm and hybrid bat genetic algorithm,” in Proc. IEEE 32nd Int. Conf. Advanced Information Networking and Applications (AINA), IEEE, 2018, pp. 667–677.
  27. MS Thesis
  28. Mateen, “Towards energy efficient routing in blockchain based underwater WSNs via recovering the void holes,” M.S. thesis, Dept. Comput. Sci., COMSATS Univ. Islamabad, Islamabad, Pakistan, 2019.

Collaborations at National and International Level

Detail of Funded Projects