Scholar
S M Taslim Uddin Raju
Google Scholar ID: ToadRS8AAAAJ
MASc in Computer Science (Specialized in AI)
Citations & Impact
Citations
343
H-index
8
i10-index
8
Publications
20
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- Publications: IEEE SMC 2024, IJCNN 2025, MBEC (Springer) 2024, BSPC (Elsevier) 2021, IEEE Access 2021, Results in Engineering (Elsevier) 2025, BSPC (Elsevier) 2022, IEEE SMC 2025, ICCV Workshop 2025; Invited to review manuscripts for the 7th International Conference on Electrical Information and Communication Technology, Discover Computing-Springer Nature, Computer Methods in Biomechanics and Biomedical Engineering - Taylor & Francis, IEEE Sensors Journal, IEEE SMC 2025, IEEE Access.
Research Experience
- Research at the University of Waterloo on AI methods for digital pathology; Lecturer at Khulna University of Engineering & Technology (KUET) working on non-invasive physiological measurement using smartphone-based PPG signals.
Education
- MASc in ECE, University of Waterloo, ON, Canada, advised by Prof. Fakhri Karray, research focused on AI methods for digital pathology, particularly classification and caption generation from microscopic whole slide images (WSIs); B.Sc. and M.Sc. in CSE, Khulna University of Engineering & Technology (KUET), supervised by Prof. M.M.A Hashem, research focused on non-invasive estimation of hemoglobin and glucose levels using smartphone-based PPG signals.
Background
- Research Interests: Deep learning and healthcare AI, with a special focus on developing robust, multimodal systems for digital pathology, non-invasive physiological measurement, and clinical decision support. Specialized in Electrical and Computer Engineering (ECE), focusing on Pattern Analysis and Machine Intelligence.
Miscellany
- Personal Interests: Looking for PhD opportunities in CS for Fall 2026, to continue research in AI and healthcare.
