My broad research interests lie in computer vision, embedded systems, and haptic technologies, with a focus on developing innovative solutions for medical image processing, human-computer interaction, and intelligent sensing systems. I am particularly interested in exploring deep learning-based computer vision applications, real-time embedded AI systems, and haptic feedback mechanisms to enhance user experiences in healthcare, virtual reality, and robotics.

Publications

Journal Articles

1. Enhancing cervical cancer diagnosis: Integrated attention-transformer system with weakly supervised learning

Ashfaque Khowaja, Beiji Zou, Xiaoyan Kui

Image and Vision Computing, 2024

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2. DeepCervixNet: An Advanced Deep Learning Approach for Cervical Cancer Classification in Pap Smear Images

Dhani Bux Talpur, Ali Raza, Ashfaque Khowaja, Asadullah Shah

VAWKUM Transactions on Computer Sciences, 2024

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3. Accurate prediction of Snare Protein Sequence using Machine Learning

Dani Bux Talpur, Salahuddin Shaikh, Ashfaque Khowaja, Saifullah Adnan, Ali Ghulam

Bioscience Research, 2022

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Conference Papers

1. End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis

Junaid Abdul Wahid, Muhammad Ayoub, Mingliang Xu, Xiaoheng Jiang, Shi Lei, Lifeng Li, Shabir Hussain, Ashfaque Khowaja, Yufei Gao

Computer Graphics International Conference, 2024

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2. CerviNet: A Novel Approach for Pap-smear Images Analysis for Cervical Cancer Classification

Ashfaque Khowaja, Beiji Zou, Xiaoyan Kui

International Symposium on Bioinformatics Research and Applications (ISBRA), 2024

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3. Cervix Visionator ELM: A Novel Approach to Early Detection of Cervical Cancer

Ashfaque Khowaja, Beiji Zou, Xiaoyan Kui"

2023 8th International Conference on Control, Robotics and Cybernetics (CRC), 2024

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