Tayyaba Shahwar

Research Interests

Machine Learning, Deep Learning, Quantum Computing, Image Classification, Health Informatics

Publications

Tayyaba Shahwar, Junaid Zafar, Ahmad Almogren, Haroon Zafar, Ateeq Ur Rehman,
Muhammad Shafiq, Habib Hamam. “Automated Detection of Alzheimer’s via Hybrid Classical
Quantum Neural Networks” in electronics-1595565, Vol. 11, 2022. https://doi.org/10.3390/electronics11050721 (IF: 2.397).

Naif Alsharabi, Tayyaba Shahwar, Ateeq Ur Rehman, Yasser Alharbi “Implementing
Magnetic Resonance Imaging Brain Disorder Classification via AlexNet-Quantum Learning”
in Mathematics 2023, 11(2), 376; https://doi.org/10.3390/math11020376 (IF: 2.592)

Tayyaba Shahwar, Ateeq Ur Rehman, “ Classification of Pneumonia via a Hybrid ZFNet-
Quantum Neural Network Using a Chest X-ray Dataset.” Curr Med Imaging. 2024;20:
e15734056317489. https://doi.org/10.2174/0115734056317489240808094924 (IF: 1.1)

P.M. Kumar, W Korani, Tayyaba S, Gokulnath C., “Detection of Sub-acute Brain Injury and
Hypoxic-ischemic Encephalopathy using I2C2-WGO and CO-GW-RNN” – Current Medical
Imaging. [IF: 1.1] [SCOPUS, SCI]

P. M. Kumar, W. Korani, Tayyaba S., Gokulnath C., “A Significant Framework for Epilepsy
and Seizure Clusters Detection Using MSRS-LSTM and FID-DO” – Intelligent Data
Analysis: An International Journal, 2025. [IF ≈ 0.8] [SCOPUS, SCI]

P.M. Kumar; Tayyaba S; Gokulnath C., “Improved Sensor Localization with Intelligent Trust
Model in Heterogeneous Wireless Sensor Network in Internet of Things (IoT) Environment.
Sustainable Computing: Informatics and Systems (SUSCOM). [IF: 3.8] [SCOPUS, SCI ]

P.M. Kumar, Tayyaba S, Gokulnath C., “Building of Drone-Based Next generation Edge
Computing Model: With Efficient Resource Allocation and Secured 5G-and-beyond
"Networks"—Ad Hoc & Sensor Wireless Networks [IF: 0.9] [SCOPUS, SCI]