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Recent Research Updates || Accepted at GLOBECOM 2026: RIS-Aided Near-Field mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting || Accepted at IMAS 2026: A Machine Learning-Assisted Beamformer Controller for Channel-Driven Analogue Beamforming || Accepted at UCMMT 2026: Experimental Validation of Localisation in RIS-Assisted mmWave Networks || Accepted at AP-S/URSI 2026: Near Field-Aware UE Localization in RIS-Aided Wireless Networks Through ML-Regressor
Tarek Hassan

Research

Major research directions and degree-wise research focus.

Major Research Areas
  • 6G and beyond wireless networks
  • Mobile edge computing (MEC) & offloading
  • Reconfigurable intelligent surfaces (RIS)
  • Integrated sensing & communication (ISAC)
  • mmWave channel modeling & MAC scheduling
  • Radio resource management (RRM) with ML/DL
Current Themes
ML/DL Enabled 6GRIS-assisted localizationISACMEC offloadingBeamforming

I focus on building learning-driven, simulation-backed methods for next-generation wireless communications—bridging theory, system design, and practical evaluation.

Degree-wise Research Work

Queen's University Belfast (QUB)
Doctor of Philosophy (Ph.D.) Focus (Feb 2025 – Present)
Research Title: Intelligent AI Electromagnetic Environment for Communication and Sensing within 6G
  • • RIS-assisted ML beam sweeping and user localization.
  • • Intelligent electromagnetic environment design for comms + sensing (ISAC).
  • • Evaluation-oriented workflow: models → simulation/experiments → metrics & robustness.
Rajshahi University of Engineering & Technology (RUET)
Master of Science (M.Sc.) Work (Sep 2021 – Dec 2024)
Research Title: Machine Learning Driven Mobile Edge Computing for Connectivity and QoS in Next Generation Networks
  • • ML-driven computation offloading strategy in MEC networks.
  • • QoS and fairness-aware decision making under realistic network constraints.
  • • Comparative study of KNN/order-preserving ideas and DRL-based offloading optimization.
Rajshahi University of Engineering & Technology (RUET)
Bachelor of Science (B.Sc.) Work (Jan 2016 – Mar 2021)
Research Title: Radio Resource Management in 5G Heterogeneous Networks
  • • Resource allocation and MAC scheduling in 5G/mmWave settings.
  • • Channel modeling considerations (e.g., spatial consistency, blockage, O2I penetration).
  • • Performance evaluation mindset (e.g., TCP over mmWave, scheduling impacts).