33 citations · 36 across the 11 of their papers we have counts for
11 papers
WiNeRF: Measurement Constrained Radiance Fields for Actionable Wireless Channel Modeling
Saif Ur Rahman, Rafid Umayer Murshed, Anton Dmitriev +3
Wireless embedded systems increasingly rely on wireless channel information for decision making, yet practical platforms operate under severe constraints, including few antennas, n…
GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels
Rafid Umayer Murshed, Shahab Hamidi-Rad, Elahe Soltanaghai +1
Large antenna arrays allow wireless systems to serve more users and achieve higher data rates, but they also make channel feedback expensive: the receiving device must repeatedly r…
Physics-Unrolled Neural Operator for Wireless Field Modeling
Rafid Umayer Murshed, Saif Ur Rahman, Mingyue Tang +1
Radio maps are essential for wireless decision-making tasks such as access-point placement, coverage planning, and localization, but their fine spatial details are governed by comp…
MetaFAP: Meta-Learning for Frequency Agnostic Prediction of Metasurface Properties
Rafid Umayer Murshed, Md Shoaib Akhter Rafi, Sakib Reza +2
Metasurfaces, and in particular reconfigurable intelligent surfaces (RIS), are revolutionizing wireless communications by dynamically controlling electromagnetic waves. Recent wire…
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications
Rafid Umayer Murshed, Md Saheed Ullah, Mohammad Saquib
This paper addresses the beam-selection challenges in Multi-User Multiple Input Multiple Output (MU-MIMO) beamforming for mm-wave and THz channels, focusing on the pivotal aspect o…
Self-supervised Contrastive Learning for 6G UM-MIMO THz Communications: Improving Robustness Under Imperfect CSI
Rafid Umayer Murshed, Md Saheed Ullah, Mohammad Saquib +1
This paper investigates the potential of contrastive learning in 6G ultra-massive multiple-input multiple-output (UM-MIMO) communication systems, specifically focusing on hybrid be…
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO
Md Saheed Ullah, Rafid Umayer Murshed, Mohammad Saquib +1
This letter introduces a low-complexity beamforming approach for MU-MIMO systems with multiple data streams per user, minimizing inter-user interference and improving spectral effi…
Real-time Seismic Intensity Prediction using Self-supervised Contrastive GNN for Earthquake Early Warning
Rafid Umayer Murshed, Kazi Noshin, Md. Anu Zakaria +3
Seismic intensity prediction from early or initial seismic waves received by a few seismic stations can enhance Earthquake Early Warning (EEW) systems, particularly in ground motio…
Automated Level Crossing System: A Computer Vision Based Approach with Raspberry Pi Microcontroller
Rafid Umayer Murshed, Sandip Kollol Dhruba, Md. Tawheedul Islam Bhuian +1
In a rapidly flourishing country like Bangladesh, accidents in unmanned level crossings are increasing daily. This study presents a deep learning-based approach for automating leve…
A CNN based Multifaceted Signal Processing Framework for Heart Rate Proctoring Using Millimeter Wave Radar Ballistocardiography
Rafid Umayer Murshed, Md. Abrar Istiak, Md. Toufiqur Rahman +3
The recent pandemic has refocused the medical world's attention on the diagnostic techniques associated with cardiovascular disease. Heart rate provides a real-time snapshot of car…
A CNN-LSTM-based Fusion Separation Deep Neural Network for 6G Ultra-Massive MIMO Hybrid Beamforming
Rafid Umayer Murshed, Zulqarnain Bin Ashraf, Abu Horaira Hridhon +3
In the sixth-generation (6G) cellular networks, hybrid beamforming would be a real-time optimization problem that is becoming progressively more challenging. Although numerical com…