EXTERNAL PROFILES
Assistant Professor
A. Q. M. Sala Uddin Pathan
Dr. A Q M Sala Uddin Pathan is an Assistant Professor in the Department of Computer Science and Telecommunication Engineering at Noakhali Science and Technology University (NSTU), Bangladesh. He holds a PhD from the University of New South Wales (UNSW), Australia. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Medical Image Analysis, and Computer Vision, with a focus on developing intelligent computational solutions for real-world applications.
Computer Science and Telecommunication Engineering
BIOGRAPHY
Dr. A Q M Sala Uddin Pathan is an Assistant Professor in the Department of Computer Science and Telecommunication Engineering (CSTE) at Noakhali Science and Technology University (NSTU), Bangladesh. He completed his BSc and MSc in Computer Science and Telecommunication Engineering from NSTU and later earned his PhD from the University of New South Wales (UNSW), Sydney, Australia. He began his academic career as a Lecturer at Daffodil International University (DIU) in 2016 and joined NSTU as a Lecturer in 2017. Since then, he has been actively involved in university teaching, research, student supervision, and academic activities. He also gained teaching and research experience at UNSW during his doctoral studies in Australia. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Medical Image Analysis, and Computer Vision. His research broadly focuses on applying intelligent computational techniques to real-world problems, with particular interest in healthcare and medical imaging. He has contributed to scientific publications and presented his research at international conferences in Australia and the United States. Alongside his academic activities, Dr. Pathan has been actively involved in academic leadership and student representation. He served as General Secretary and previously as Vice President (International) of the UNSW Postgraduate Council and was also involved in state-level international student representation in New South Wales. He has also served as Vice President of the CSTE Alumni Association. Dr. Pathan is a member of the Association for the Advancement of Artificial Intelligence (AAAI) and an Associate Member of the Australian Computer Society (ACS). He is interested in interdisciplinary research, international collaboration, postgraduate research supervision, and the development of practical AI-based solutions with real-world impact.
RESEARCH INTERESTS
2022 - 2026
Doctor of Philosophy (PhD)
School of Optometry and Vision Science
The University of New South Wales (UNSW)
2015 - 2016
Master of Science in Engineering
Computer Science and Telecommunication Engineering
Noakhali Science and Technology University
2011 - 2014
Bachelor of Science in Engineering
Computer Science and Telecommunication Engineering
Noakhali Science and Technology University
Last updated on 2026-09-23 11:51:44
2017-04-19
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AWARDS AND ACHIEVEMENTS
1
Development & Research Training Grant
University of New South Wales
2
University International Postgraduate Award (UIPA)
University of New South Wales
3
2nd Prize – 21st Foundation Training for University Teachers
Graduate Training Institute, Bangladesh Agricultural University
4
Prime Minister Gold Medal 2016
University Grants Commission (UGC), Bangladesh
5
Government Merit Scholarship (HSC Level)
Board of Intermediate and Secondary Education, Comilla
6
Government Merit Scholarship (SSC Level)
Board of Intermediate and Secondary Education, Comilla
7
Government Merit Scholarship (Junior Level)
Board of Intermediate and Secondary Education, Comilla
Impact of morphology and staging of epiretinal membrane on retinal sensitivity
Deep Learning Approaches for Automated Glaucoma Detection and Staging Using Multimodal Imaging Data
Visual function following epiretinal membrane peeling
Detection of Epiretinal Membrane Using Deep Learning Models on OCT Images
Automated anemia detection from retinal fundus images using artificial intelligence
Protocol for Deep Learning-Based Classification of Vitreomacular Adhesion in Diabetic Macular Edema using SD-OCT.
Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning
Multi-category Bangla news classification using machine learning classifiers and multi-layer dense neural network
Fingerprint Authentication Security: An Improved 2-Step Authentication Method with Flexibility
A Fog Based Encryption Algorithm for IoT Network
Book Name: Bioimaging Modalities in Bioengineering
Chapter Title: Fundamentals of Optical Coherence Tomography
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- Institutional Email: salauddin.cste@nstu.edu.bd
- Personal Email: N/A
- Mobile number: +8801857839590
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SOCIAL PROFILES
Department
Computer Science and Telecommunication Engineering
Noakhali Science and Technology University