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Tarek Hassan

Md Tarek Hassan

+44(0)7349137918 | mhassan15@qub.ac.uk | Personal Website

Belfast, Northern Ireland - BT9 5FB, United Kingdom

Career Objective

PhD researcher at Queen’s University Belfast, specializing in reconfigurable intelligent surface (RIS)-enabled wireless communication systems for future 6G networks. Actively conducting research on antenna configuration, propagation-aware modeling, and machine learning-based beam management, with a focus on RIS-assisted localization and sensing.

Work Experience

• Queen's University Belfast ◉

Feb 2025 — Present

Doctoral Researcher

Belfast, Northern Ireland, UK

  • Reconfigurable Intelligent Surface (RIS) and RIS-Assisted Localization
  • Machine Learning-Driven Localization and Integrated Sensing and Communication (ISAC)

• Queen's University Belfast ◉

Sep 2025 — Present

Graduate Teaching Assistant

Belfast, Northern Ireland, UK

  • Demonstrated laboratory experiments and guided students through practical tasks.
  • Assisted students with debugging, measurement setup, circuit/software workflows, and result interpretation.
  • Supported lab assessment, feedback, troubleshooting, and safe laboratory practice.

• Rajshahi University of Engineering & Technology (RUET) ◉

Dec 2021 — Present

Lecturer (On Leave)

Rajshahi, Bangladesh

  • Lesson planning, preparation and research and contact/teaching time with students
  • Encouraging personal development via tutorial/pastoral work
  • Invigilating examinations and liaising with other professionals/employers
  • Arranging work experience placements and attending staff meetings

• Robi Axiata Limited ◉

Apr 2019 — May 2019

Intern in Radio Access Network

On site

  • Interfaced with LAN and WAN telecommunications operations on secure compatibility and connectivity matters
  • Performed system by remote access and coordinated and prepared reports to support operation and planning of telecommunications systems

Education

• Queen's University Belfast (QUB) ◉

Feb 2025 – Present

Doctor of Philosophy (Ph.D.) in Electrical and Electronic Engineering

Belfast, United Kingdom

  • Research Title: Intelligent AI Electromagnetic Environment for Communication and Sensing within 6G
  • Specialization: 6G and beyond, Machine Learning, Reconfigurable Intelligent Surface (RIS), Localization, Integrated Sensing and Communication (ISAC)

• Rajshahi University of Engineering & Technology (RUET) ◉

Sep 2021 – Dec 2024

Master of Science (M.Sc.) in Electronics and Telecommunication Engineering (ETE)

Rajshahi, Bangladesh

  • CGPA: 3.92 / 4.00 (First Class Honors/Distinction) [First Position]
  • Research Title: Machine Learning Driven Mobile Edge Computing for Connectivity and QoS in Next Generation Networks
  • Specialization: Edge Computing, Machine Learning, Beyond 5G/6G

• Rajshahi University of Engineering & Technology (RUET) ◉

Jan 2016 – Mar 2021

Bachelor of Science (B.Sc.) in Electronics and Telecommunication Engineering (ETE)

Rajshahi, Bangladesh

  • CGPA: 3.85 / 4.00 (First Class Honors/Distinction) [First Position]
  • Research Title: Radio Resource Management in 5G Heterogeneous Networks
  • Specialization: 5G, mmWave, Radio Resource Management

Publications

Submitted

  1. C. Larmour, F. Kasem, M. T. Hassan, D. Zelenchuk, O. Yurduseven, V. Fusco, N. Buchanan, and M. A. B. Abbasi, “Over-the-Air Experimentation of B5G/6G Mobile Device in RIS-Assisted Link,” submitted to IEEE Transactions on Antennas and Propagation, 2026.

Accepted

  1. M. T. Hassan, D. Zelenchuk, and M. A. B. Abbasi, “RIS-Aided Near-Field mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting,” in Proc. 2026 IEEE Global Communications Conference (GLOBECOM), Macau, China, 2026.
  2. K. Manglani, M. A. B. Abbasi, S. Shahid, M. T. Hassan, and D. Zelenchuk, “A Machine Learning-Assisted Beamformer Controller for Channel-Driven Analogue Beamforming,” in Proc. 2026 IEEE International Microwave and Antenna Symposium (IMAS), Jeddah, Saudi Arabia, 2026.
  3. M. T. Hassan, D. Zelenchuk, G. Travers, M. A. B. Abbasi, and G. G. Machado, “Experimental Validation of Localisation in RIS-Assisted mmWave Networks,” in Proc. 19th IEEE United Conference on Millimetre Waves and Terahertz Technologies (UCMMT), Birmingham, U.K., 2026.
  4. M. T. Hassan, D. Zelenchuk, and M. A. B. Abbasi, “Near Field-Aware UE Localization in RIS-Aided Wireless Networks Through ML-Regressor,” in Proc. 2026 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), Detroit, MI, USA, 2026.
  5. M. T. Hassan, D. Zelenchuk, M. A. B. Abbasi, and I. Munina, “Impact of RIS Size on Machine Learning-Enabled Beam Sweeping for User Localization,” in Proc. 20th European Conference on Antennas and Propagation (EuCAP), Dublin, Ireland, 2026.

Published

  1. M. T. Hassan, D. Zelenchuk, M. A. B. Abbasi, and A. Ullah, “Efficient Angular Localization in RIS-Assisted mmWave Network via Learning-Based Estimations,” in Proc. 2026 32nd International Conference on Telecommunications (ICT), Thessaloniki, Greece, 2026.
  2. M. T. Hassan, D. Zelenchuk, and M. A. B. Abbasi, “Machine Learning-Driven User Localization in RIS-Assisted Wireless Systems,” 20th RIA/URSI Research Colloquium on Radio Science and Communications, Royal Irish Academy, Dublin, Ireland, arXiv:2510.23908, 2025.
  3. M. T. Hassan and M. K. Hosain, “A Comprehensive Analysis of KNN and Order Preserving Techniques for Offloading Efficiency in MEC Networks,” in Proc. 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2024, pp. 1334-1338.
  4. M. T. Hassan and M. K. Hosain, “Optimization of Computation Offloading in Mobile-Edge Computing Networks with Deep Reinforcement Approach,” in Proc. 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS), Asansol, India, 2024, pp. 1-6.
  5. A. Uz Zaman, M. T. Hassan and A. S. M. Badrudduza, “A Deep Reinforcement Learning Approach for Power Allocation in 5G Homogeneous Network Scenario,” in Proc. 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON), Rajshahi, Bangladesh, 2024, pp. 948-953.
  6. M. Rahman Jony, M. T. Hassan and K. Hosain, “A Coastal Area Based Statistical Channel Modeling for 5G Millimeter Wave (mmWave) Heterogeneous Networks,” in Proc. 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON), Rajshahi, Bangladesh, 2024, pp. 1-6.
  7. V. Roy, M. T. Hassan, M. K. Hosain, and L. Islam, “Analyzing Spatial Consistency and Human Blockage in mmWave Channel Modeling within Metrorail Scenarios in Next Generation Networks,” in Proc. 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON), Rajshahi, Bangladesh, 2024, pp. 272-277.
  8. L. Islam and M. T. Hassan, “Performance Evaluation of Vehicle-Centered Traffic Management Using Fog Computing-Based Wireless Network,” in Proc. 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2023, pp. 1-6.
  9. M. R. Hassen, M. T. Hassan and M. R. Imrose, “Multi RIS-Integrated MIMO Wireless Communication: End-to-End (E2E) Learning Performance Across Diverse Network Scenarios,” in Proc. 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2023, pp. 1-6.
  10. M. A. Hasan, M. T. Hassan and F. Haque, “A Deep Learning-Based Efficient Beamspace Estimation Approach in Millimeter-Wave Massive MIMO Systems,” in Proc. 2023 6th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2023, pp. 1-6.
  11. M. R. Imrose, M. T. Hassan and M. R. Hassen, “A Comprehensive Study on Statistical Channel Modeling for Outdoor-to-Indoor (O2I) Penetration Concern of 5G mmWave Access Networks,” in Proc. 2023 6th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2023, pp. 1-6.
  12. M. R. Imrose, M. T. Hassan, M. R. Hassen, and M. M. Mowla, “A Statistical Investigation of Spatial Consistency and Human Blockage Consideration Based mmWave Channel Modeling for 5G Back-Haul Networks,” in Proc. 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2023, pp. 1-6.
  13. M. T. Hassan and M. M. Mowla, “A Novel MAC Scheduling Approach for Mobility-Based 5G Millimeter Wave Networks,” in Proc. 2022 4th International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, 2022, pp. 1-4.
  14. M. T. Hassan and M. Munjure Mowla, “An Efficient Proportional Fair MAC Scheduling for Resource Allocation in 5G Millimeter Wave Networks,” in Proc. 2022 25th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2022, pp. 276-281.
  15. M. T. Hassan and M. M. Mowla, “Investigation of TCP Performance in 5G mmWave Networks,” in Proc. 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 1688-1691.

Skills

  • Programming Languages: Python, MATLAB, C++, C
  • Web Technologies: HTML5, CSS3, Bootstrap, JavaScript, PHP, WordPress
  • Database Systems: MySQL, Firebase
  • Data Science & Machine Learning: Scikit-learn, Pandas, Matplotlib, TensorFlow, Keras, NumPy
  • Specialized/Research Area: 5G/6G, Wireless Communication, mmWave, Reconfigurable Intelligent Surface
  • Mathematical & Statistical Tools: GNU Octave, MATLAB, R
  • Other Tools & Technologies: CST Studio, NS-3, Anaconda, Jupyter Notebook, LaTeX

Projects

• Design and Development of IoT Based Swarm Intelligence System for Environmental Sustainability

Dec 2022 — Sep 2024

  • Developed a distributed IoT monitoring system using Python, Arduino, and wireless sensor networks.
  • Implemented swarm intelligence algorithms, including Particle Swarm Optimization, for decentralized sensor-node decisions.
  • Tech Skills: Python, Arduino, MQTT, Swarm Intelligence, Sensor Integration

• Advanced Mobile Phone Controlled Electrical Appliances

Nov 2017 — Feb 2018

[GitHub]

  • Designed a mobile phone-based system for remote electrical appliance control.
  • Developed microcontroller logic using embedded C for practical low-cost switching.
  • Tech Skills: Electronics, Arduino, Atmel Studio

• Automated & Manual Amplitude Modulation (AM) Modulator & Demodulator

Dec 2018 — Jul 2019

[GitHub]

  • Designed automated and manual AM modulator and demodulator circuits.
  • Built audio, carrier, filtering, modulation, and demodulation circuit stages.
  • Tech Skills: Electronics, Arduino, Passive Electric Filters, Modulator and Demodulator

Honors and Awards

• Most Impactful Thesis Award

Mar 2021

RUET

  • B.Sc. Thesis Award
  • 3 good conferences based on the thesis

• Student of the Year

Nov 2018

RUET

  • Awarded for the highest results in a year
  • Got the medal and certification

• University and Board Scholarships

2008 — 2022

RUET and Bangladesh Government

  • Undergrad Scholarship in RUET
  • Bangladesh Government Scholarship in HSC, SSC and JSC Examination

• Travel Grants

2022 - 2026

Conference Travel Support

  • EEECS School Travel Grant for 2026 IEEE AP-S/URSI, Detroit, Michigan, USA.
  • Telco Renata Travel Grant 2024 for CTTC, Barcelona, Spain.
  • Travel support for ICCIT 2024, ICCIT 2023, ICECTE 2022, IICCCS 2024, and EICT 2023.

Leadership Experience

• General Secretary ◉

Feb 2020 — March 2021

Joypurhat Zilla Association

  • Organized student's farewell and fresher's reception program in the association
  • Arranged the inter college competition in the zilla

• Electronic Society of RUET ◉

Feb 2017 — October 2017

Rajshahi University of Engineering & Technology

  • Published the information to the students of the upcoming events
  • Arranged the necessary management for the keynote speaker and the organizing body

Certifications

Additional Information

Languages: English (Proficiency level), Hindi (Intermediate), Bangla (Native)

Interests: Traveling, Documentation, Watching Films, Cooking