Dr. Nur Alom Talukdar is an Assistant Professor in the Department of Computer Science & Engineering in Aliah University.  Dr. Talukdar received his PhD from the North-Eastern Hill University (NEHU) of Shillong, Meghalaya.  His research area includes: Machine Learning,  Medical Image Analysis,  Medical Data Analysis and Smart Engineering.

Education

• Ph.D., North-Eastern Hill University, Shillong, 2020-2021.
• M.Tech., Assam University, Silchar, 2015.
• B.Tech., Gauhati University, Guwahati, 2013.

Field of Specialization

• Machine Learning 
• Computer Architecture 
• Operating System
• Software Engineering and Etc.

Courses Taught/Teaching

• Machine Learning 
• Computer Architecture 
• Operating System
• Software Engineering 
• C Programming 
• Data Structure 
• Data Mining Etc.

Research Area

• Machine Learning, 
• Medical Image Analysis, 
• Medical Data Analysis
• Smart Agriculture 
• Smart and Green Engineering and etc.

Conference Papers Published

1. N. A. Talukdar et al. 2026. Explainable AI-Driven Prediction of Depression: Linking Socio-Economic Status, Demographics, and Expenditure Patterns. 2nd IEEE International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI’2026) (Scopus Indexed/IEEE).
2. T. H. Sardar, D. VS, P. Naresh, N. R, M. A. Khan and N. A. Talukdar, "Optimised Healthcare Data Classification Using MI-PSO-ANFIS-GA: A Hybrid Machine Learning Approach," 2026 5th International Conference on Communication, Computing and Electronics Systems (ICCCES-26), Coimbatore, India, 2026, pp. 848-853, doi: 10.1109/ICCCES62661.2026.11436641.
3. N. A. Talukdar et al. 2025. Real-Time Public Transport Tracking for Small Cities: An IoT and AI-based Approach. 5th IEEE International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN-2025), DVD Part Number: CFP254AH-DVD; ISBN: 979-8-3315-8241-8 (Scopus Indexed/IEEE).
4. N. A. Talukdar et al. 2025. AI-Driven Mortality Risk Classification Using HMIS Data: A Case Study from Nagaon District, Assam, India. 2nd IEEE International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI-2025) (Scopus Indexed/IEEE).
5. N. A. Talukdar and Sudipta Roy. 2015. Identification of WBC based on Dynamic Clustering using Modified FCM Algorithm with an Approach to Optimal Result. In Proceedings of the 6^th IEEE International Conference on Computer and Communication Technology 2015 (ICCCT '15). ACM, New York, Pages 461-464 (Scopus Indexed).
6. N. A. Talukdar, D. Deb and S. Roy. Implementation of Efficient FCM Algorithm to Identify WBC with a Novel Distance Metrics. In Proceedings of the International Conference on Computing Paradigms (ICCP2015), July 2015, Yelagiri Hills, Vellore District, Tamil Nadu, INDIA – 635 853 
7. N. A. Talukdar and A. Halder. Brain MRI Segmentation using Clustering Based Techniques: An Empirical Study. In Proceedings of National Conference on Applied Sciences, Sustainable & Evolving Technologies (ASSET), March 2018, Central Institute of Technology, Kokrajhar.
8. N. A. Talukdar and A. Halder. A new Semi-supervised Clustering Algorithm for Brain Tissue Segmentation. In Proceedings of National Conference on Mathematical Sciences & Applications in Sciences, Engineering & Technologies (MSASET), March 2019, Rajiv Gandhi University (A Central University), Arunachal Pradesh.
9. N. A. Talukdar and A. Halder. Study of classifiers’ performances for Alzheimer’s disease diagnosis. In Proceedings of 3^rd National Conference on Recent Advances in Science and Technology (NCRAST-2020), August, 2020, Assam Science and Technology University, Guwahati.

Journal Papers Published

1. N. A. Talukdar and A. Halder. Kernel Induced Semi-Supervised Spatial Clustering: A Novel Brain MRI Segmentation Technique. Multimedia Tools and Applications. ISSN No. 0730-725X, 83, 49213–49241 (2024), (Springer, IF: 3.6), Indexed in: SCI, Scopus, etc.
2. R. K. Bania, N. A. Talukdar and D. J. Bora. Cutting-Edge Hybrid Deep Transfer Learning Approach for Potato Leaf Disease Classification. International Journal of Agricultural and Natural Sciences E-ISSN: 2651-3617 17(1): 111-123, (2024), Indexed in: Web of Science Group (Zoological Record), UGC CARE, etc.
3. N. A. Talukdar and A. Halder. Partially Supervised Clustering using kernel Induced Rough Fuzzy C-means for Brain Tissue Segmentation. Pattern Recognition and Image Analysis. ISSN No. 1054-6618, 31(1), 91–102, 2021, (Springer, IF: 0.6). Indexed in: Scopus, ESCI, ACM, UGC CARE, etc.
4. A. Halder and N. A. Talukdar. Robust Brain Magnetic Resonance Image Segmentation using Modified Rough-Fuzzy C-Means with Spatial Constraints. Applied Soft Computing. ISSN No. 1568-4946, 85(2019), 01-17, 2019. (Elsevier, IF: 8.263). Indexed in: SCI, Scopus, etc.
5. N. A. Talukdar and A. Halder. Semi-supervised Rough Fuzzy Clustering for Brain MRI Segmentation. International Journal of Research in Advent Technology (IJRAT). (UGC listed), ISSN No. 2321-9637, Vol. 7, No. 3, 2019.
6. A. Halder and N. A. Talukdar. Brain Tissue Segmentation using Improved Kernelized Rough-Fuzzy C-Means with Spatio-Contextual Information from MRI. Magnetic resonance imaging. ISSN No. 0730-725X, 62(2019), 129-151, 2019, (Elsevier, IF: 3.13). Indexed in: SCI, Scopus, PubMed, etc.
7. N. A. Talukdar and A. Halder. A Novel Consensus Framework for Tumor Detection from Brain MRI. Medical & Biological Engineering & Computing (reviewed) (Springer Nature, IF: 2.116), Indexed in: SCI, Scopus, UGC CARE, etc.
8. N. A. Talukdar, D. Deb and S. Roy. Automated Blood Cancer Detection Using Image Processing Based on Fuzzy System. IJARCSSE, ISSN No. 2277-128X, Volume 4, Issue 8, Aug. 2014.
9. Ahmed A, Talukdar NA, Majhi TK. Stigma, literacy, and intervention: a comprehensive analysis of mental health in education and psychiatric care. International Journal of Nursing and Health Sciences. 2025;7(2):107-114.

Books Published

Book Chapters:

1. N. A. Talukdar and A. Halder.  Brain MRI segmentation using Kernelized Rough Fuzzy C-Means and new ground truth construction techniques for result analysis and validation. Advances in Science and Technology, Vol. I, ISBN 978-81-908910-9-7, i-Manager publications, India, March 2018.
2. N. A. Talukdar and A. Halder.  Segmentation of brain MRI using Unsupervised and Semi-supervised Techniques.  Advances in Science and Technology, Vol. II, ISBN 978-93-90491-11-7, McGraw-Hill, India, June 2019.

Awards

1. Research Fellow, Machine Intelligent Unit (MIU), Indian Statistical Institute (ISI), Kolkata.:December, 2016 to Feb, 2017
2. AICTE Technical Education Quality Improvement Program (TEQIP) Fellowship cum Teaching Assistantship.: 2013-15
3. Recipient of the Merit-Cum-Means based Scholarship.: 2010-13
4. Recipient of the Post Matric Scholarship.: 2007-10

Patents

Applied (2)

Membership Of Learned Societies

1. IEEE membership-The Institute of Electrical and Electronics Engineers .
2. IAENG membership-International Association of Engineers.