Md Wahidur Rahman
Doctoral Researcher
Deep Learning, Medical Informatics, Quantum Machine Learning, Sustainable Agriculture
AI for Healthcare
Clinical and assistive models built to be checked — ECG arrhythmia detection, breast-ultrasound diagnosis, and multi-sensor elderly-care monitoring.
ECG
Ultrasound
Elderly care
Publications
6
Citations
—
Researchers
3
Alumni
0
Open positions
—
01 / WHO WORKS ON THIS
Researchers
Members of the lab whose work sits in this area.
Mohammad Shadman Tahsin
Doctoral Researcher
Deep Learning, Medical Informatics, Quantum Machine Learning, Sustainable Agriculture
Anurag Mallik
Doctoral Researcher
Deep learning, and Image processing.
02 / WHAT CAME OUT OF IT
6 publications
Everything the lab has published in this area, newest first.
2026
2026
CONFERENCE
X-Beat: An Explainable Framework for ECG Image Classification
M. S. Tahsin, H. Y. Adarbah, A. Noore
2nd Workshop on Data Quality-Aware, High-Performance, and Trustworthy AI Systems for Healthcare (TAIS4H), co-located with IEEE/ACM CHASE, Pittsburgh, PA, USA
2026
CONFERENCE
Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis
M. R. Tonmoy, D. Che, H. Y. Adarbah, A. Noore
2nd Workshop on Data Quality-Aware, High-Performance, and Trustworthy AI Systems for Healthcare (TAIS4H), co-located with IEEE/ACM CHASE, Pittsburgh, PA, USA
2026
CONFERENCE
E-SIMS: A Human-Centered Vision for Personalized Elderly Health Monitoring
H. Y. Adarbah, J. E. Henry, M. R. Tonmoy, A. J. Rimu, J. M. Chowdhury, N. D. Mbue, A. Noore
Workshop on AI-Powered Resilient Mobile Health (ARMH), co-located with IEEE/ACM CHASE, Pittsburgh, PA, USA
2026
JOURNAL
A Lightweight Channel-Attention CNN for Robust Beat-Level Arrhythmia Detection
M. S. Tahsin, H. Y. Adarbah, A. Noore
IEEE Access, vol. 14, pp. 62803–62817
2026
JOURNAL
Influence of Symmetric Multi-Overlapping Stenosis on Carreau Blood Rheology: A 3D Computational Study
H. Y. Adarbah, M. N. R. Dar, E. S. Ghith, A. Noore
Engineering Reports, vol. 8, no. 6, Art. no. e70901
2026
JOURNAL
Privacy-Preserving Multi-Sensor Edge Intelligence Using Split Dual-LSTM Architecture for Real-Time Elderly Care
Muhammad Zubair Islam, Afzel Noore, Haitham Y. Adarbah, ASM Sharifuzzaman Sagar, Amir Haider
IEEE Sensors Journal
ELSEWHERE IN THE LAB
Other research areas
AREA 01
Federated & Edge Intelligence
Training and unlearning across distributed clients, with Byzantine robustness and privacy budgets that survive contact with real edge hardware.
Federated learningEdge AIFederated unlearning
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AREA 02
Vehicular Networks & Security
V2X and MANET security: authentication protocols, digital-twin traffic environments, and defences against routing and forwarding attacks.
V2XRPLDigital twin
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AREA 03
AI for Education
LLM-based formative feedback and exemplar selection for school mathematics, evaluated for feasibility before deployment.
LLM feedbackMath tutoring
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AREA 04
Wireless Sensor networks
A Wireless Sensor Network (WSN) consists of a spatially distributed collection of dedicated, autonomous devices equipped with sensors to cooperatively monitor physical or environmental conditions. These compact nodes track data—such as temperature, pressure, motion, or acoustics—and leverage radio signals to pass their measurements through the network infrastructure to a central location, known as a base station or sink, where the data is analyzed. Because these networks typically operate in remote or hazardous environments, they rely heavily on low-power, ad-hoc wireless routing protocols and localized battery power to maintain long-term, self-healing communication without human intervention.
AREA 05
Applied Machine Learning & Signal Processing
Signal-level models for sensing and interaction, from sEMG recognition to energy forecasting on constrained devices.
sEMGForecastingSignals
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AREA 06
Networking & Systems
Wireless sensor networks, protocol performance under noise, and the systems work that makes distributed intelligence deployable.
WSNProtocolsSimulation
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