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Latest News || 27 October 2026: Dr Soumava Mukherjee's invited talk at Queen's University Belfast joined device-level hardware innovation with channel-level control. || 22 October 2026: I received a Certificate of Appreciation for serving as a reviewer for IEEE IMAS 2026. || 15 October 2026: I presented a poster on beam-domain ML fingerprinting for RIS-aided mmWave localisation at the Centre for Wireless Innovation's annual symposium. || 15 October 2026: CWI's annual symposium brought research and industry perspectives on 6G, ISAC, optical wireless, AI, and future networks to Queen's University Belfast. || 14 October 2026: Erik Nordell of Ericsson visited our Keysight Lab for a live RIS-assisted video streaming demonstration.
Tarek Hassan
Research portfolio

Building intelligent wireless futures

My work brings machine learning, reconfigurable electromagnetic environments, and rigorous evaluation together for next-generation communication and sensing systems.

18
Published works
2
Accepted in 2026
6G
Current frontier

Focus areas

Research themes

View publications

Intelligent wireless systems

Learning-driven methods for adaptive, resilient communication networks.

ML/DL6GResource management
Papers (4)Show
  1. A Machine Learning-Assisted Beamformer Controller for Channel-Driven Analogue Beamforming
    2026 · ConferenceAccepted and Presented
  2. A Deep Reinforcement Learning Approach for Power Allocation in 5G Homogeneous Network Scenario
    2024 · ConferencePublished
  3. Multi RIS-Integrated MIMO Wireless Communication: End-to-End (E2E) Learning Performance Across Diverse Network Scenarios
    2023 · ConferencePublished
  4. A Deep Learning-Based Efficient Beamspace Estimation Approach in Millimeter-Wave Massive MIMO Systems
    2023 · ConferencePublished

RIS-assisted localization

Near-field-aware localization and beam management in reconfigurable environments.

RISmmWaveBeam sweeping
Papers (7)Show
  1. Near-Field 3D User Localization Using Power-Only Fingerprints from a Single 1-Bit Reflective RIS
    2027 · ConferenceSubmitted
  2. RIS-Aided Near-Field mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting
    2026 · ConferenceAccepted
  3. Experimental Validation of Localisation in RIS-Assisted mmWave Networks
    2026 · ConferencePublished
  4. Near Field-Aware UE Localization in RIS-Aided Wireless Networks Through ML-Regressor
    2026 · ConferencePublished
  5. Impact of RIS Size on Machine Learning-Enabled Beam Sweeping for User Localization
    2026 · ConferencePublished
  6. Efficient Angular Localization in RIS-Assisted mmWave Network via Learning-Based Estimations
    2026 · ConferencePublished
  7. Machine Learning-Driven User Localization in RIS-Assisted Wireless Systems
    2025 · ColloquiumPublished

RIS hardware & measurements

Over-the-air experiments that expose and correct the non-idealities of practical 1-bit RIS prototypes.

1-bit RIS28 GHzMeasurement
Papers (3)Show
  1. Experimental Suppression of the Hardware Induced Specular Lobe in 1-Bit mmWave RIS
    IEEE Antennas and Wireless Propagation Letters (AWPL)In pipeline
  2. Experimental Diagnosis of Phase Contrast Degradation in a Practical 28 GHz 1-Bit RIS
    2027 · ConferenceSubmitted
  3. Over-the-Air Experimentation of B5G/6G Mobile Device in RIS-Assisted Link
    2026 · JournalSubmitted

Communication & sensing

Designing electromagnetic environments where communication and sensing work together.

ISACBeamformingLocalization
Papers (1)Show
  1. Adaptive Joint Communication and Sensing Beamforming Under Time-Varying QoS
    5th International Conference on Electrical, Computer & Communication Engineering (ECCE)In pipeline

Edge intelligence

QoS- and fairness-aware computation offloading for edge-enabled networks.

MECDRLQoS
Papers (3)Show
  1. A Comprehensive Analysis of KNN and Order Preserving Techniques for Offloading Efficiency in MEC Networks
    2024 · ConferencePublished
  2. Optimization of Computation Offloading in Mobile-Edge Computing Networks with Deep Reinforcement Approach
    2024 · ConferencePublished
  3. Performance Evaluation of Vehicle-Centered Traffic Management Using Fog Computing-Based Wireless Network
    2023 · ConferencePublished

mmWave channels & 5G scheduling

Statistical channel modelling, blockage and MAC scheduling for 5G millimetre-wave networks.

Channel modellingBlockageMAC scheduling
Papers (7)Show
  1. A Coastal Area Based Statistical Channel Modeling for 5G Millimeter Wave (mmWave) Heterogeneous Networks
    2024 · ConferencePublished
  2. Analyzing Spatial Consistency and Human Blockage in mmWave Channel Modeling within Metrorail Scenarios in Next Generation Networks
    2024 · ConferencePublished
  3. A Comprehensive Study on Statistical Channel Modeling for Outdoor-to-Indoor (O2I) Penetration Concern of 5G mmWave Access Networks
    2023 · ConferencePublished
  4. A Statistical Investigation of Spatial Consistency and Human Blockage Consideration Based mmWave Channel Modeling for 5G Back-Haul Networks
    2023 · ConferencePublished
  5. A Novel MAC Scheduling Approach for Mobility-Based 5G Millimeter Wave Networks
    2022 · ConferencePublished
  6. An Efficient Proportional Fair MAC Scheduling for Resource Allocation in 5G Millimeter Wave Networks
    2022 · ConferencePublished
  7. Investigation of TCP Performance in 5G mmWave Networks
    2020 · ConferencePublished

Evolution

Research journey

A progression from 5G resource management to intelligent, RIS-assisted 6G systems.

Current researchFeb 2025 – Present

Intelligent AI Electromagnetic Environment for Communication and Sensing within 6G

Queen's University Belfast (QUB)

Developing learning-enabled RIS architectures for localization, beam management, and integrated sensing in 6G environments.

  • RIS-assisted ML beam sweeping and user localization.
  • Intelligent electromagnetic-environment design for communication and sensing.
  • Simulation- and experiment-led evaluation of performance and robustness.
Master's researchSep 2021 – Dec 2024

Machine Learning Driven Mobile Edge Computing for Connectivity and QoS in Next Generation Networks

Rajshahi University of Engineering & Technology (RUET)

Explored machine-learning-based decisions for efficient and equitable mobile-edge computing networks.

  • ML-driven computation-offloading strategies in MEC networks.
  • QoS and fairness-aware decision-making under network constraints.
  • Comparative study of KNN, order-preserving, and DRL optimization methods.
Undergraduate researchJan 2016 – Mar 2021

Radio Resource Management in 5G Heterogeneous Networks

Rajshahi University of Engineering & Technology (RUET)

Established a foundation in resource allocation, scheduling, and channel modelling for 5G/mmWave systems.

  • Resource allocation and MAC scheduling in 5G/mmWave settings.
  • Spatial consistency, blockage, and outdoor-to-indoor channel-model considerations.
  • Performance evaluation of scheduling and transport-layer behaviour.