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CURRICULUM VITAE

DR. ATIF MAHMOOD
DR. ATIF MAHMOOD
Senior Lecturer
Department of Computer System & Technology
Faculty of Computer Science and Information Technology
ResearcherID
Scopus Author ID

BIOGRAPHY

I am a Senior Lecturer and telecommunications-AI researcher specializing in intelligent and distributed network systems.
My work combines federated learning, explainable AI, and intelligent 5G/6G network research. It builds on
extensive industry experience in microwave backhaul, transport planning, and network optimization. I have published
AI-driven methods for backhaul optimization, KPI monitoring, federated learning, and THz communications. I developed
FedPA, a performance-aware framework for selective and resource-efficient federated aggregation. My current research
explores Explainable and Agentic AI for telecom planning and autonomous operations. This direction
integrates intelligent reasoning with engineering models, simulators, and network optimization tools. My goal is to
develop trustworthy telecom AI that respects engineering constraints and human oversight. I also have experience
in grant writing, project delivery, technical reporting, and research supervision. My research has contributed to 25
indexed publications covering telecom networks, healthcare AI, and distributed intelligence.

ACADEMIC QUALIFICATION

  • PhD in COMPUTER SCIENCE (PEMBELAJARAN MESIN), (Computer Science)
    Universiti Malaya (UM)
  • MASTER OF COMPUTER SCIENCE, (Computer Science)
    Universiti Malaya (UM)

PUBLICATIONS

Article in Journal
WoS
  1. Mahmood, A; Qureshi, AN; Munir, MU; Ramli, R; Azzuhri, SR (2026). FedPA: A Performance-Based Approach for Resource-Optimized and Imbalance-Resilient Federated Learning, IEEE ACCESS. 14, 42105-42118. doi:10.1109/ACCESS.2026.3665401
  2. Iqbal, S; Qureshi, AN; Alhussein, M; Aurangzeb, K; Mahmood, A; Bin Azzuhri, SR (2025). Dynamic selectout and voting-based federated learning for enhanced medical image analysis, MACHINE LEARNING-SCIENCE AND TECHNOLOGY. 6(1). doi:10.1088/2632-2153/ada0a6
  3. Subramaniam, R; Azzuhri, SR; Wah, TY; Mahmood, A; Balakrishnan, V (2025). A Holistic Anti-Counterfeiting Platform Using NFC and Blockchain Technologies, CMC-COMPUTERS MATERIALS & CONTINUA. 83(3), 4257-4280. doi:10.32604/cmc.2025.061560
  4. Mahmood, A; Azizul, ZH; Zakariah, M; Belhaouari, SB; Altameem, A; Ramli, R; Almazyad, AS; Kiah, MLM; Azzuhri, SR (2024). Implementing federated learning over VPN-based wireless backhaul networks for healthcare systems, PEERJ COMPUTER SCIENCE. 10. doi:10.7717/peerj-cs.2422
  5. Mahmood, A; Kiah, MLM; Azizul, ZH; Azzuhri, SR (2024). Analysis of Terahertz (THz) Frequency Propagation and Link Design for Federated Learning in 6G Wireless Systems, IEEE ACCESS. 12, 23782-23797. doi:10.1109/ACCESS.2024.3362966
  6. Mahmood, A., Kiah, M. L. M., Azzuhri, S. R., Kamal, M. M., Eldabi, T., Qureshi, A. N., . . . Z'Aba, M. R. (2021). Wireless backhaul network's capacity optimization using time series forecasting approach. Journal of Ambient Intelligence and Humanized Computing, 12(1), 1407-1418. doi: 10.1007/s12652-020-02209-2
  7. Mahmood, A., Kiah, M. L. M., ZAba, M. R., Qureshi, A. N., Kassim, M. S. S., Hasan, Z. H. A., . . . Azzuhri, S. R. (2020). Capacity and Frequency Optimization of Wireless Backhaul Network Using Traffic Forecasting. Ieee Access, 8, 23264-23276. doi: 10.1109/access.2020.2970224
  8. Mahmood, A; Kiah, MLM; Z'aba, MR; Qureshi, AN; Kassim, MSS; Hasan, ZHA; Kakarla, J; Amiri, IS; Azzuhri, SR (2020). Capacity and Frequency Optimization of Wireless Backhaul Network Using Traffic Forecasting, IEEE ACCESS. 8, 23264-23276. doi:10.1109/ACCESS.2020.2970224
Scopus
  1. Sin K.K., Saleem S.M.U., Kanagalakshmi K., Ikram M., Mahmood A. (2026). Building Trust with Gen Z on Instagram: Malaysian Influencers Strategies fo Authentic Storytelling, Engagement, Communication, and Honest Brand Promotion, Paper Asia. 42(4), 668-682. doi:10.59953/paperasia.v42i4b.1271