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)
PhD 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)
MSc 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)
BSc Work (Up to 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).