Dr. Anindya Halder

Computer Applications Department

Designation: Assistant Professor

Qualifications:

Academic

  • Ph.D. (Computer Science & Engineering) from Jadavpur University (JU) in 2013. Thesis title "Ant Colony Approach for Certain Tasks of Pattern Recognition". Research work done at Center for Soft Computing Research, Indian Statistical Institute (ISI), Kolkata.
  • Master of Computer Application (M.C.A.) from University of Kalyani in 2005.

Other

  • Qualified NET (Computer Science and Applications).
  • Qualified GATE (Computer Science & IT).

Teaching and Research Experience

  • Assistant Professor in the Department of Computer Applications, North-Eastern Hill University, Tura Campus, Tura Meghalaya, India since July 2012.
  • Research Scholar in the Center for Soft Computing Research, Indian Statistical Institute, Kolkata from August 2007 to July 2012.
  • Visiting Researcher in Remote Sensing Laboratory, Trento University, Italy from January 2010-June 2010 (on leave from ISI).
  • Project Linked personnel in Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata from December 2006 to June 2007 in an International collaborated project (ITPAR) of ISI and Trento University, Italy funded by Department of Science and Technology, Govt. of India.
  • Lecturer and In-Charge, Dept. of Computer Science, KalyaniMahavidyalaya (Kalyani College) Kalyani, Nadia since August 2005 to December 2006.
  • Guest Lecturer (Computer Science) in the Department of Rural Development and Management (INSPARC), University of Kalyani,  Kalyani, Nadia. June to August, 2006.

Teaching Interests

Pattern Recognition, Soft Computing, Swarm Intelligence, DBMS, Computer Graphics, Automata theory, Data Structure, Digital Electronics.

Research Interests

Pattern Recognition, Swarm Intelligence, Soft Computing, Remote Sensing Image Analysis, Bioinformatics.

Work Experience:           

  • Teacher-In-Charge, Department of Computer Applications, North-Eastern Hill University, Tura Campus, Tura Meghalaya, India from 20.02.2017 till date.
  • Assistant Professor in the Department of Computer Applications, North-Eastern Hill University, Tura Campus, Tura Meghalaya, India from July 2012 till date.
  • Visiting    Scientist  in Machine Intelligence Unit, Indian Statistical Institute, Kolkata during January-February, 2015.
  • Research Scholar in Center for Soft Computing Research, Indian Statistical Institute, Kolkata from August 2007 till July 2012.
  • Visiting Researcher in Remote Sensing Laboratory, Trento University, Italy from January 2010-June 2010 (on leave from ISI).
  • Project Linked personnel in Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata from December 2006 to June 2007 in an International collaborated project (ITPAR) of ISI and Trento University, Italy funded by Department of Science and Technology, Govt. of India.
  • Lecturer and In-Charge, Dept. of Computer Science, Kalyani Mahavidyalaya (Kalyani College) Kalyani, Nadia since August 2005 to December 2006.
  • Guest Lecturer (Computer Science) in the Department of Rural  Development and Management (INSPARC), University of Kalyani,  Kalyani, Nadia. June to August, 2006

Ph.D. Supervision:

  • Ongoing : 4  (registered in NEHU)

Awards:

  • Selected for international travel support scheme for young scientist by Department of Science and Technology (DST), Government of India to present a paper “Ant based semi-supervised classification”, in seventh international conference on swarm intelligence, ANTS 2010, Brussels, Belgium, during September 8-10, 2010.
  • Won best innovative paper award (for the paper “Ant based supervised and unsupervised land use map generation from remotely sensed images”) in the World Congress on Nature and Biologically Inspired Computing (NaBIC09) organized by Machine Intelligence Research Lab (http://www.mirlabs.org/index.php) at Coimbatore, India in December 9-11, 2009.
  • Obtained Fellowship from CSCR, ISI, Kolkata funded by DST, Govt. of India to carry out research during August 2007 to July 2012.
  • Obtained Fellowship from University of Trento, Italy to carry out research at Remote Sensing Laboratory, University of Trento, Italy during January 2010 to July 2010.

Research Projects

Project Carried Out:   One UGC Major Research Project carried out as Co-PI.

Publications

Research Publications (Peer Reviewed):

  • International Journals:15 (SCI/ESCI/Scopus listed journal 10 +  UGC listed 5)
  • International Conferences: 5
  • National Conference/Workshop/ Seminar: 6    
  • Google Scholar citation: 200 (as on 02.10.2019)
  • H-index: 8 and  i10 index: 7 (as on 02.10.2019)

   (I) International Journals (Peer Reviewed)

  1. R.K.Bania, A. Halder. “Adaptive Trimmed Median Filter for Impulse Noise Detection and Removal with an Application to Mammogram Images International Journal of Image and Graphics”. International Journal of Image and Graphics (World Scientific), ISSN: 0219-4678, (Accepted), 2019, Scopus and ESCI listed journal.
  2. A. Halder, N.A. Talukdar. “Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints”. Journal Applied Soft Computing (Elsevier), ISSN: 1568-4946, Impact factor: 4.873, Vol. 85, pp. 105758-151, 2019, SCI listed journal.
  3. A. Halder, N.A. Talukdar. “Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI”. Magnetic Resonance Imaging (Elsevier), ISSN: 0730-725X, Impact factor: 2.349, Vol. 62(October), pp. 129-151, 2019, SCI listed journal.
  4. A. Kumar, A. Halder. “Active Learning using Fuzzy-Rough Nearest Neighbour Classifier for Cancer Prediction from Microarray Gene Expression data”. International Journal of Pattern Recognition and Artificial Intelligence (World Scientific), ISSN: 0218-0014, Impact factor: 1.029, Vol. 34 (1), pp. 2057001 (28 pages),  2019, SCI listed journal.
  5. A. Halder, A. Kumar. “Active Learning using rough fuzzy classifier for cancer predication from microarray gene expression data”. Journal of Biomedical Informatics (Elsevier), ISSN: 1532-0464, Impact factor: 3.120, vol: 92(April), pp. 103136, 2019, SCI listed journal.
  6. A. Kumar, A. Halder. “Ensemble based Fuzzy-Rough Nearest Neighbor Approach for  Classification of Cancer from Microarray Data”. International Journal of Research in Advent Technology, E-ISSN: 2321-9637, Vol. 7(5), pp. 1287-1294, 2019, UGC listed journal
  7. N.A. Talukdar, A. Halder. “Semi-supervised Rough-Fuzzy Clustering for Brain MRI Segmentation”. International Journal of Research in Advent Technology, E-ISSN: 2321-9637, Vol. 7(3), pp 1287-1294, 2019, UGC listed journal
  8. A. Kumar, A. Halder. “Cancer Classification from Gene Expression data using Fuzzy-Rough techniques: An Empirical Study”. International Journal of Computer Sciences and Engineering, ISSN: 2347-2693,  vol: 6(6), pp. 415-420, 2018, UGC listed journal.
  9. A. Kumar, A. Halder. “Semi-supervised Fuzzy Vaguely Quantified Rough Nearest Neighbour Classifier for Cancer Sample Classification from Gene Expression Data”. Journal of Computer and Mathematical Sciences, ISSN: 0976 - 5727, vol:9(7), pp. 840-849, 2018, UGC listed journal.
  10. A. Halder, A. K. Upadhyay and S.K. Das. “Numismatic Image Segmentation: An Empirical Study”. International Journal of Computer Applications, ISSN 0975-8887. 160(4):36-39, 2017, UGC listed journal.
  11. A. Halder, S. Ghosh, and A. Ghosh. “Aggregation pheromone metaphor for semi-supervised classification”. Pattern Recognition (Elsevier), ISSN: 0031-3203, Impact factor: 4.341, vol: 46(8), pp. 2239-2248, 2013, SCI listed journal.
  12. A. Halder, A. Ghosh, and S. Ghosh “Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems”. Applied Soft Computing (Elsevier), ISSN: 1568-4946, Impact factor: 4.004, vol: 11(8), pp.5700-5781, 2011, SCI listed journal.
  13. A. Halder, A. Ghosh, and S. Ghosh. “Aggregation pheromone density based pattern classification”. Fundamenta Informaticae (IOS Press), ISSN: 0169-2968, Impact factor:0.725, vol: 92(4), pp. 345-362, 2009, SCI listed journal.
  14. S. Ghosh, M. Kothari, A. Halder, A. Ghosh. “Use of aggregation pheromone density for image segmentation”. Pattern Recognition Letters (Elsevier), ISSN: 0167-8655, Impact factor: 2.350, vol: 30(10), pp. 939–949, 2009, SCI listed journal
  15. A. Ghosh, A. Halder, M. Kothari, and S. Ghosh. “Aggregation pheromone density based data clustering”. Information Sciences (Elsevier), ISSN: 0020-0255, Impact factor: 4.378, vol: 178(13), pp.2816–2831, 2008, SCI listed journal

   (II) International Conference (Peer Reviewed)

  1. A. Halder. “Kernel based Rough Fuzzy c-Means clustering optimized using Particle Swarm Optimization”, Proc. of the IEEE International Seminar on Computing and Communications, ISBN: 978-1-4673-6707-3 organized by Dept. of CSE, Assam University, Slichar, IEEE CS press, pp.41-48, 2015.
  2. A. Halder, S. Mishra, “Semi-supervised fuzzy K-NN for cancer classification from microarray gene expression data”, Proceedings of the 1st International Conference on Automation, Control, Energy and Systems, organized by Academy of Technology, West Bengal,  ISSN No.: 978-1-4799-3893-3, pp. 1-5,  February 2014.
  3. A. Halder, S. Ghosh and A. Ghosh, “Ant based semi-supervised classification”, In Proceedings of the 7th International Conference on Swarm Intelligence, ANTS 2010, Brussels, Belgium, ISSN No. 978-3-642-15460-7, Springer, LNCS, Volume 6234/2010, pp.376-383, September 2010. (Young Scientist award for international travel support by DST, Govt. of India).
  4. A. Halder, S. Ghosh, and A. Ghosh. “Ant based supervised and unsupervised land use map generation from remotely sensed images”, In Proceedings of the World Congress on Nature and Biologically Inspired Computing (NaBIC’09). ISSN No. 978-1-4244-5612-3, IEEE Computer Society Press, December 2009, pp.158-163 (best innovative paper in the Congress).
  5. A. Halder, S. Ghosh, and A. Ghosh. “Aggregation pheromone density based classification”. In Proceedings of the 10th International Conference on Information Technology (ICIT’08). ISSN No. 978-0-7695-3513-5, IEEE Computer Society Press, pp. 100-105, December 2008.

   (III) National Conference/Workshop/ Seminar (Peer Reviewed)

  1. A. Halder, “Semi-supervised landuse map generation from remotely sensed images of Kolkata”, In Proceedings of the UGC sponsored National Seminar on “Contemporary Issues on Enviornment & Development in India and Adjacent Countries”, ISBN:978-81-92847-2-9, pp. 82-90 organized by Kalyani Mahavidyalaya, Kalyani, West Bengal held during September 20-21, 2013.
  2. A. Halder, S. Dey, A. Kumar, Active learning using  fuzzy k-NN for cancer classification from microarray gene expression data, In Proceedings of the National Workshop on Advances in Communication and Computing (WACC), ISSN: 1876-1100, Lecture Notes in Electrical Engineering, Springer () organized by  Assam Engineering College, Assam during 26-27 September, 2014 (3rd best  paper in the Workshop).
  3. A. Kumar and A. Halder.  Active Learning using Multiclass SVM based on Breaking Ties and Mutual information for Cancer prediction from microarray gene expression data.  In Proceedings of National Conference on Recent Advances in Science and Technology (NCRAST), 2018.
  4. N. A. Talukdar and A. Halder.  Brain MRI segmentation suing kernelized Rough Fuzzy C-Means and new ground truth construction techniques for result analysis and validation.  In Proceedings of National Conference on Recent Advances in Science and Technology (NCRAST), 2018
  5. 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), 2018.
  6. R.K. Bania and A. Halder.  Empirical study towards segmentation of mass lesion in digitized mammogram images.  In Proceedings of National Conference on Recent Advances in Science and Technology (NCRAST), 2018

Member Academic/Professional/Scientific Bodies/Societies:

  • Member IEEE
  • Member of International Association of Engineers, Hong Kong
  • Member of Computer Science Teachers Association (CSTA), New York, founded by Association for Computing Machinery (ACM)
  • Member of Academic Council, North Eastern-Hill University, NEHU, Meghalaya, India.  
  • Member of School Board of Technology (SOT), North Eastern-Hill University, NEHU, Meghalaya, India.  
  • Member of Board of Studies (BOS) in Dept. of Computer Applications, North Eastern-Hill University, NEHU, Meghalaya, India.