Work Experience:           

• Associate Professor in Dept. of Computer Application, North-Eastern Hill University (Central University), Tura Campus, Meghalaya from 20.07.2023 to till date continuing.
• Associate Professor in Dept. of Computer Science and Information Technology (CSIT), Cotton University (State University, Govt. of Assam), Guwahati from 21.07.2022 to 18.07. 2023 (On lien from NEHU).
• Head, Department of Computer Applications, North-Eastern Hill University (Central University), Tura Campus, Tura Meghalaya, India from 22.09.2023 to till date continuing.
• Teacher-In-Charge (HOD), Department of Computer Applications, North-Eastern Hill University (Central University), Tura Campus, Tura Meghalaya, India from 20.02.2017 to 20.07.2022.
• Assistant Professor in the Department of Computer Applications, North-Eastern Hill University (Central University), Tura Campus, Tura Meghalaya, India from 30^th July 2012 till date (On lien from 21.07.2022).
• Research Scholar in Center for Soft Computing Research, Indian Statistical Institute, Kolkata (https://www.isical.ac.in/~scc/) from 27^th August, 2007 to 26^th July, 2012.
• Visiting Researcher in Remote Sensing Laboratory, Trento University, Italy from 1^st January, 2010-30^th June, 2010 (on leave from ISI).
• Project Linked personnel in Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata from 19^th December 2006 to 30^th 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 26^th August, 2005 to 18^th December, 2006.
• Guest Lecturer (Computer Science) in the Department of Rural Development and Management (INSPARC), University of Kalyani,  Kalyani, Nadia. June to August, 2006

Administrative positions:

• Teacher-In-Charge, Dept. of Computer Application from  20.02.2017 to 20.07.2022
• Member BOS (CA) for three years from 19.05.2016
• Member BOS (ECE) for three years from 24.06.2016
• Member School Board (SOT) for two  years from 17.09.2015

Teaching Interests

Machine Learning, Data Mining, Soft Computing, Pattern Recognition, Swarm Intelligence, DBMS, Computer Graphics, Compiler Design, Automata theory, Data Structure, Digital Electronics.

Research Interests

Machine Learning, Soft Computing,Swarm Intelligence, Biomedical Image Analysis, Bioinformatics

• Won 3rd best paper award (for the paper “Active learning using fuzzy k-NN for cancer classification from microarray gene expression data”) in the National Workshop on Advances in Communication and Computing (WACC), organized by Assam Engineering College, Assam during 26-27 September, 2014.
• 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 7^thinternational 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:

• International Journals (Peer Reviewed): 32 
• International Conferences (Peer Reviewed): 7
• National Conference/Workshop/ Seminar (Peer Reviewed): 9    
• Google Scholar citation: 560 (as on 09.06.2024)
• (>https://scholar.google.co.in/citations?user=uqrUW4EAAAAJ&hl=en)
• H-index: 14,  i10 index: 17 (as 09.06.2024)

Profile URL: https://vidwan.inflibnet.ac.in/profile/123206

 (I) International Journals (Peer Reviewed)

1. T. Das, A. Halder, and G. Saha, “Application Of Density-Based Clustering Approaches For Stock Market Analysis”, Applied Artificial Intelligence (Taylor & Francis),  vol. 38, (1), pp., e2321550 (31 pages), 2024,  Impact factor: 2.8,  ISSN: 0883-9514 / 1087-6545, doi: : https://doi.org/10.1080/08839514.2024.2321550, Indexed in SCIE, Scopus, UGC CARE etc.
2. A Kumar, A. Halder, and D.C.B. Marak, “Semiâ??supervised fuzzyâ??rough extreme learning machine for classifcation of cancer from microRNA”, International Journal of Machine Learning and Cybernetics (Springer Nature), 2024, Impact Factor: 5.6, ISSN: 0196-9722https://doi.org/10.1007/s13042-024-02164-w , Indexed in SCI, Scopus, UGC CARE etc.
3. S. Chatterjee, S. Bhattacharyya, S. Saha, A.  Halder, and P. R. S. Mahapatra  “Detection of Dense Built-Up Area in Low-Resolution Satellite Images Using Deep Learning and DBSCAN Approaches”, International Journal of Pattern Recognition and Artificial Intelligence (World Scientific), Vol. 38, No. 4, pp.2451004 (30 pages), , 2024, ISSN: 0218-0014, DOI: OI: 10.1142/S0218001424510042, Impact Factor: 1.375, Indexed in SCIE, Scopus, UGC CARE etc.
4. A. Halder, N.A. Talukdar, “Kernel induced semi-supervised spatial clustering: a novel brain MRI segmentation technique”, Multimedia Tools and Applications, Impact factor: 3.6,  ISSN: 1573-7721 , doi: https://doi.org/10.1007/s11042-023-16806-8,2023, Indexed in SCI, Scopus, UGC CARE etc.
5. S.  Chatterjee,  S. Bhattacharyya S. Saha, A. Halder, P. R. S. Mahapatra,  “Detection of Dense Built-up Area in Low-resolution Satellite Images using Deep Learning and DBSCAN Approaches”, International Journal of Pattern Recognition and Artificial Intelligence, Indexed in SCI, Scopus, UGC CARE etc. , 2024 (accepted).
6. M. Roy, S. Majumder, A. Halder,  U. Biswas, “ECG-NET: A Deep LSTM Autoencoder for Detecting Anomalous ECG”, Engineering Applications of Artificial Intelligence (Elsevier), ISSN: 0952-1976, Impact factor: 8.00, Vol. 124,  No. 5, p. 106484(20 pages), 2023, https://doi.org/10.1016/j.engappai.2023.106484, Indexed in SCI, Scopus, UGC CARE etc.
7. R.K. Bania, A. Halder, “Automatic Breast Mass Lesion Detection in Mammogram Images”, International Journal of Image and Graphics (World Scientific),  ISSN: 1793-6756, Impact factor: 0.938, Indexed in Scopus, UGC CARE, Web of Science, 2023. (Accepted for Publication), https://doi.org/10.1142/S0219467824500566.
8. S. Dasgupta, M. Dutta, A Halder (Corresponding author), A Khan, G. Saha, R. K. Pal “Computational analysis of gene expression data using bidirectional long short-term memory for disease diagnosis”, Innovations in Systems and Software Engineering (Springer), ISSN:1614-5046, 1-15, https://doi.org/10.1007/s11334-022-00492-0. (2022), Indexed in Scopus, UGC CARE.
9. A. Kumar and A. Halder, “Greedy fuzzy vaguely quantified rough approach for cancer relevant gene selection from gene expression data”, Soft Computing (Springer), ISSN: 1433-7479 / 1432-7643, 13567–13581 , Impact factor: 3.732, https://doi.org/10.1007/s00500-022-07312-4, 2022 Indexed in SCI, Scopus, UGC CARE, etc.
10. A. Kumar and A. Halder, “Semi-supervised ordered weighted average fuzzy-rough nearest neighbour classifier for cancer pattern classification from gene expression data”. International Journal of Biosciences, ISSN: 2222-5234/ 2220-6655, Vol. 20, No. 5, p. 45-52, 2022. Indexed in Web of Science, UGC CARE.
11. A. Kumar and A. Halder, “Extreme learning machine for cancer classification from miRNA gene expression data”. International Journal of Biosciences, Vol. 20, No. 5, p. 169-175, 2022. Indexed in Web of Science, UGC CARE.
12. S. Majumder, A. Kumar, and A.  Halder, “Combining statistical and Fuzzy-rough classifiers for cancer Subtype prediction”. Journal of Biodiversity and Environmental Sciences(JBES), ISSN: 2220-6663/ 220-3045, Vol. 21, No.2, p. 92-99, 2022. Indexed in Web of Science, UGC CARE
13. R. K. Bania, A. Halder, R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification, Artificial Intelligence in Medicine (Elsevier), ISSN: 0933-3657  Impact factor: 7.011,  vol 114,  page 102049 (31 pages), 2021, https://doi.org/10.1016/j.artmed.2021.102049, Indexed in SCI.
14. D.C.B. Marak, A. Halder, A Kumar. “Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data”, New Generation Computing (Springer), ISSN: 02883635 /  18827055, Impact factor: 1.113, Vol 39, 487–513, 2021, https://doi.org/10.1007/s00354-021-00123-5, Indexed in SCIE.
15. N.A. Talukdar, A. Halder. “Partially Supervised Kernel Induced Rough Fuzzy Clustering for Brain Tissue Segmentation”. Pattern Recognition and Image Analysis (Springer), ISSN: 1555-6212, vol: 31(1), pages 91–102, 2021, https://doi.org/10.1134/S1054661821010156, Indexed in Scopus, ACM digital library, UGC CARE, etc.
16. A. Kumar, A. Halder. “Ensemble-based active learning using fuzzy-rough approach for cancer sample classification”. Engineering Applications of Artificial Intelligence (Elsevier), ISSN: 0952-1976, Impact factor: 8.0, https://doi.org/10.1016/j.engappai.2020.103591, vol. 91 (May), pp, 103591 (12 pages), 2020, Indexed in SCI, Scopus, UGC CARE etc.
17. 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 (World Scientific), Impact factor: 0.938 https://doi.org/10.1142/S0219467820500321, ISSN: 0219-4678, vol 20 (4),pp. 2050032, 2020, Indexed in SCI expanded, Scopus, UGC CARE etc.
18. R.K.Bania, A. Halder. “R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data”. Computer Methods and Programs in Biomedicine (Elsevier), ISSN: 0169-2607, https://doi.org/10.1016/j.cmpb.2019.105122, vol.184  pp 105122 (21 pages), 2020, Impact factor: 7.027, Indexed in SCI, Scopus, PubMed/Medline, UGC CARE etc. R.K.Bania, A. Halder
19. A. Halder, N.A. Talukdar. “Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints”. Applied Soft Computing (Elsevier), ISSN: 1568-4946, Impact factor: 8.263, https://doi.org/10.1016/j.asoc.2019.105758, vol. 85 (October), pp 1057589 (17 pages), 2019,   Indexed in SCI expanded, Scopus, UGC CARE etc.
20. 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: 3.13, https://doi.org/10.1016/j.mri.2019.06.010, vol. 62(October), pp 129-151, 2019,   Indexed in Web of Science, Scopus, PubMed/Medline, UGC CARE etc.
21. 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: 1.373, https://doi.org/10.1142/S0218001420570013, vol. 34 (1), pp, 2057001 (28 pages), 2019,  Indexed in SCI expanded, Scopus, UGC CARE etc.
22. 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 A. Kumar, A. Halder factor: 8.0, https://doi.org/10.1016/j.jbi.2019.103136, vol: 92(April), pp. 103136, 2019, Indexed in SCI, Scopus, PubMed/Medline, UGC CARE etc.
23. 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, 10.32622/ijrat.75201931,  vol. 7(5), pp 1287-1294, 2019.
24. 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.
25. 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, https://doi.org/10.26438/ijcse/v6i6.415420 vol: 6(6), pp. 415-420, 2018.
26. 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, http://dx.doi.org/10.29055/jcms/820, vol: 9(7), pp. 840-849, 2018.
27. 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, doi/10.5120/ijca2017913044.
28. A. Halder, S. Ghosh, and A. Ghosh. “Aggregation pheromone metaphor for semi-supervised classification”. Pattern Recognition (Elsevier), ISSN: 0031-3203, Impact factor: 8.518, vol: 46(8), pp. 2239-2248, 2013, https://doi.org/10.1016/j.patcog.2013.01.002, Indexed in SCI, Scopus, UGC CARE etc.
29. 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: 8.263, vol: 11(8), pp.5700-5781, 2011, https://doi.org/10.1016/j.asoc.2011.02.030, Indexed in SCI expanded, Scopus, UGC CARE etc.
30. A. Halder, A. Ghosh, and S. Ghosh. “Aggregation pheromone density based pattern classification”. Fundamenta Informaticae (IOS Press), ISSN: 0169-2968, Impact factor: 1.333, vol: 92(4), pp. 345-362, 2009, doi/10.5555/2362717.2362719, Indexed in SCI expanded, Scopus, UGC CARE etc.
31. 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: 5.1, vol: 30(10), pp. 939–949, 2009, https://doi.org/10.1016/j.patrec.2009.03.004, Indexed in SCI, Scopus, UGC CARE etc.
32. A. Ghosh, A. Halder, M. Kothari, and S. Ghosh. “Aggregation pheromone density based data clustering”. Information Sciences (Elsevier), ISSN: 0020-0255, Impact factor: 8.233, vol: 178(13), pp.2816–2831, 2008, https://doi.org/10.1016/j.ins.2008.02.015, Indexed in SCI, Scopus, UGC CARE etc.

(II) International Conference (Peer Reviewed)

1. A. Halder. “Kernel based Rough Fuzzy c-Means clustering optimized using Particle Swarm Optimization”, In Proceedings of the IEEE International Seminar on Computing and Communications, ISBN: 978-1-4673-6707-3, doi 10.1109/ISACC.2015.7377312, 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”, In 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, doi 10.1109/ACES.2014.6808013, IEEE CS press, 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 CS 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)., Bhubaneswar, ISSN No. 978-0-7695-3513-5, IEEE CS Press, pp. 100-105, December 2008.
6. S.  Dasgupta, S. Bhattacharya, A. Khan, A. Halder, G. Saha, and R.K. Pal. “Disease-Relevant Gene Selection Using Mean Shift Clustering”, In Proceedings of the 8^th  International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2021), doi DOI: 10.1007/978-981-16-4294-4_13,  Lecture Notes in Networks and Systems (LNNS), Springer, ISSN 2367-3370/ 2367-3389,  vol 14, pp. 151-164. 2021.
7. D. Dey, S. Majumder, A. Halder, “Traffic Sign Recognition System using Ensemble based Deep Learning Models” In proc. Of International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), 2023, https://ieeexplore.ieee.org/document/10083886/, ISSN: 979-8-3503-9938, IEEE CS press. DOI: 10.1109/ISACC56298.2023.10083886

   (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 Environments & 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, pp.103-113, Lecture Notes in Electrical Engineering (Springer) organized by  Assam Engineering College, Assam during 26-27 September, 2014 (3^rd 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), i-manager publications, ISBN:978-81-92847-2-9, 2018.
4. N.A. Talukdar and A. Halder.  Brain MRI segmentation uing 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), i-manager publications, ISBN:978-81-92847-2-9, 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), i-manager publications, ISBN:978-81-92847-2-9, 2018
7. N.A. Talukdar and A. Halder. Segmentation of Brain MRI using Unsupervised and Semi-supervised Techniques. In Proceedings of National Conference on Recent Advances in Science and Technology (NCRAST), ISBN: 93-90491-11-8, Chapter 39, pp.232-238 McGraw Hill Education (India), 2019.
8. D.C.B.  Marak and A. Halder. Cancer Sample Classiï¬Âcation from microRNA Gene Expression Data: An Empirical Study. In Proceedings of National Conference on Recent Advances in Science and Technology (NCRAST), ISBN: 93-90491-11-8, Chapter 38, pp.224-231 McGraw Hill Education (India), 2019.
9. R.K. Bania and A. Halder. Automatic Removal of Pectoral Muscle from Mediolateral Oblique View Mammograms. In Proceedings of National Conference on Recent Advances in Science and Technology (NCRAST), ISBN: 93-90491-11-8,  Chapter 40, pp.239-244 McGraw Hill Education (India), 2019.

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)