Intelligent wireless systems
Learning-driven methods for adaptive, resilient communication networks.
ML/DL6GResource management
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.
17
Published works
3
Accepted in 2026
6G
Current frontier
Focus areas
Research themes
RIS-assisted localization
Near-field-aware localization and beam management in reconfigurable environments.
RISmmWaveBeam sweeping
Communication & sensing
Designing electromagnetic environments where communication and sensing work together.
ISACBeamformingLocalization
Edge intelligence
QoS- and fairness-aware computation offloading for edge-enabled networks.
MECDRLQoS
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.