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Dr. Nur Alom Talukdar

Dr. Nur Alom Talukdar

Assistant Professor

  • Faculty of Computer Technology

About

Name: Specialization:
Dr. Nur Alom Talukdar Machine Learning, Pattern Recognition, Medical Image Analysis, Artificial Intelligence

Qualification

  • Ph.D. from North-Eastern Hill University (a Central University)
  • M.Tech. from Assam University (a Central University) 
  • B.Tech. (Computer Science and Engineering) from Gauhati University
  • H.S. (Science) from Assam Higher Secondary Education Council (AHSEC).  
  • H.S.L.C. from Board of Secondary Education Assam (SEBA). 

 

 

 

 

Personal Interest

Learning New things, Reading Books, Learning New Technology, Exploring New Places

Working Experience

Academic Experience

  1. March, 2023 to Till date, Assistant Professor, Faculty of Computer Technology, Assam down town University, Guwahati.
  2. June, 2022 to February, 2023. Assistant Professor, Faculty of Computers, Madanapalle Institute of Technology & Science, Andhra Pradesh.
  3. May, 2021 to May, 2022. Lecturer, Department of Computer Applications, School of Technology, North-Eastern Hill University (A Central University), Meghalaya.
  4. January, 2021  to April, 2021. Assistant Professor, Dept. of Computer Science and Engineering, Lovely Professional University, Punjab. 
  5. March, 2016  to December, 2021. Lecturer, Department of Computer Applications, School of Technology, North-Eastern Hill University (A Central University), Meghalaya.
  6.  December, 2016 to Feb, 2017. Visiting Research Fellow   to Machine  Intelligent Unit (MIU), Indian Statistical Institute (ISI), Kolkata. 

Research

PUBLICATIONS (Journal)

  1. N. A. Talukdar and A. Halder. Semi-supervised Clustering using kernel Induced  Rough Fuzzy C-means for Brain Tissue Segmentation. Pattern Recognition and Image Analysis. 31(1), 2021 (Springer). Indexed in: Scopus, ACM, UGC CARE, etc. 
  2. N. A. Talukdar and A. Halder. Robust Brain Magnetic Resonance Image  Segmentation using Modified Rough-Fuzzy C-Means with Spatial Constraints. Applied Soft Computing. 85(2019), 01-17, 2019. (Elsevier, IF: 8.263). Indexed in: SCI, Scopus, etc. 
  3. 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), Vol. 7, No. 3, 2019.  
  4. N. A. Talukdar and A. Halder. Brain Tissue Segmentation using Improved  Kernelized Rough-Fuzzy C-Means with Spatio-Contextual Information from MRI.  Magnetic resonance imaging. 62(2019), 129-151, 2019, (Elsevier, IF: 3.13). Indexed in: SCI, Scopus, PubMed, etc. 
  5. N. A. Talukdar and A. Halder. Kernel Induced Semi-supervised Spatial Clustering:  A Novel Brain MRI Segmentation Technique. Multimedia Tools and Applications (Accepted) (Elsevier, IF: 3.6), Indexed in: SCI, Scopus, UGC CARE, etc. 
  6. 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. 
  7. N. A. Talukdar, D. Deb and S. Roy. Automated Blood Cancer Detection Using Image Processing Based on Fuzzy System. IJARCSSE, Volume 4, Issue 8, Aug. 2014.

 

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.

 

PUBLICATIONS (Conference) 

  1. 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 6th IEEE International Conference on Computer and  Communication Technology 2015 (ICCCT '15). ACM, New York, Pages 461-464. 
  2. 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   
  3. 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. 
  4. 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. 
  5. N. A. Talukdar and A. Halder. Study of classifiers’ performances for Alzheimer’s disease diagnosis. In Proceedings of 3rd National Conference on Recent Advances in Science and Technology (NCRAST-2020), August, 2020, Assam Science and Technology University, Guwahati.

Awards & Achievements

  • NCC ‘B’ and ‘C’ Certificate from 50 ASSAM AIR WING, G.U. : 2010-12
  • Exhibition Coordinator, GU.TechFest’ 2012 : 2012-13  
  • Recipient of the Post Matric Scholarship. : 2007-10 
  • Recipient of the Merit-Cum-Means based Scholarship. : 2010-13 
  • Technical Education Quality Improvement Program (TEQIP)  fellowship cum Teaching Assistantship. : 2013-15