BioCompLab.

1. T. Hussain, H. Shouno, A. Hussain, D. Hussain, M. Ismail, T. Hussain Mir, F. Rong Hsu, Taukir Alam and S. Anonna Akhy (2025) EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification, IEEE Access, 13, 54040-54068.
2. T. Hussain, H. Shouno, M. Abed Mohammed, H. Abdulameer Marhoon and Taukir Alam (2025) DCSSGA-UNet: Biomedical Image Segmentation with DenseNet Channel Spatial and Semantic Guidance Attention, Knowledge-Based Systems, 314, 113233.
3. Taukir Alam, W. Chung Shia, F. Rong Hsu, T. Hassan, P.C. Lin, E. Odle and J. Watada (2025) Hybrid Top Features Extraction Model for Detecting X Rumor Events Using an Ensemble Method, Journal of Web Engineering, 24(1), 79-106.
4. Taukir Alam, W.C. Yeh, F. Rong Hsu, W.C. Shia, A. Robert Singh, T. Hassan, W. Lin, H.Y. Yang and T. Hussain (2024) An Integrated Approach Using YOLOv8 and ResNet, SeResNet and Vision Transformer (ViT) Algorithms Based on ROI Fracture Prediction in X-ray Images of the Elbow, Current Medical Imaging, 20, e15734056309890.
5. Taukir Alam, W.C. Shia, F.R. Hsu and T. Hassan (2023) Improving Breast Cancer Detection and Diagnosis through Semantic Segmentation Using the UNet3+ Deep Learning Framework, Biomedicines, 11(6), 1536.

Research Profile:

My research focuses on biomedical artificial intelligence, computer vision, deep learning, medical image segmentation and classification, uncertainty-aware learning, and explainable machine learning. My doctoral research developed UGB-SegNet for uncertainty-guided breast ultrasound lesion segmentation.

Education:

• 2022 - 2026, Ph.D., Information Engineering and Computer Science, Feng Chia University, Taiwan
• 2016 - 2018, M.S., Electrical Engineering, National Kaohsiung Normal University, Taiwan
• 2011 - 2015, B.Tech., Electronics and Communication Engineering, Delhi Technological University, India

Experience:

• 2026/11 - current, Postdoctoral Researcher, Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Taiwan
• 2025/02 - current, Adjunct Lecturer, Feng Chia University, Taiwan
• 2022/06 - 2026/08, AI Engineer and Doctoral Researcher, AI Bio Lab, Feng Chia University, Taiwan
• 2020/11 - 2022/06, Machine Learning Engineer, Delta Electronics, Taiwan
• 2018/10 - 2020/10, Senior Electrical Design Engineer, Delta Electronics, Taiwan

Research Interests:

• Medical imaging, computer vision, biomedical AI
• Deep learning, image segmentation, classification, and object detection
• Explainable AI, uncertainty estimation, and trustworthy machine learning

Selected Research:

• UGB-SegNet: Uncertainty-guided breast ultrasound lesion segmentation (2026 dissertation/preprint). Preprint | GitHub

Professional Recognition and Awards:

• 2025 - Taiwan Utility Model Patent M672893, Medical Service Information System
• 2024 - AI application competition, Honorable Mention