Anindya Halder
Contact

Dr. Anindya Halder

+91 7980918985
anindya.halder@gmail.com

Dr. Anindya Halder

Associate Professor

Department of Computer Applications

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).

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 30th 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 27th August, 2007 to 26th July, 2012.
  • Visiting Researcher in Remote Sensing Laboratory, Trento University, Italy from 1st January, 2010-30th June, 2010 (on leave from ISI).
  • Project Linked personnel in Machine Intelligence Unit, Indian Statistical Institute (ISI), Kolkata from 19th December 2006 to 30th 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 26th August, 2005 to 18th 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

Ph.D. Supervision: 

 

Completed: 4

  1. Mr. Ansuman Kumar  (Registration No. 2670 dated 04.08.2016), awarded Ph.D. on 7th October, 2020 from North-Eastern Hill University on the thesis titled “Effective Prediction of Cancer from Gene Expression Data”. (Sole Guidance)
  2. Mr. Nur Alom Talukdar (Registration No. 2671 of 09.08.2016) awarded Ph.D. on 5th July, 2021 from North-Eastern Hill University on the thesis titled “Brain Magnetic Resonance Image Analysis using Machine Learning Techniques”. (Sole Guidance)
  3. Mr. Rubul Kumar Bania (Registration No. 2903 of 08.08.2017), awarded Ph.D. on 7th February, 2022  from North-Eastern Hill University for the thesis titled  “Detection and Classification of Breast Lesions from Mammogram Images”. (Sole Guidance)
  4. Ms. Dikme Chisil B. Marak (Registration No. 2904 of 11.08.2017), awarded Ph.D. on 6th March, 2024  from North-Eastern Hill University in North-Eastern Hill University for the thesis titled “Machine Learning Techniques for Gene Expression Data Analysis”.  (main supervisor)

Enrolled: 4

  1. Mr. Biswanath Saha (24PhDCA03) enrolled in North-Eastern Hill University on December, 2024. (Sole guidance) under DST, INSPIRE fellowship, (Sole guidance).
  2. Ms. Mamoni Paul (24PhDCA04) enrolled in  North-Eastern Hill University on January, 2025, (Sole guidance)
  3. Mr. Rasidul Hoque (25PhDCA01)  enrolled in  North-Eastern Hill University on September, 2025 under Visvesvaraya fellowship, (Sole guidance).
  4. Mr. Dibyendu Sarkar (25PhDCA04) enrolled in  North-Eastern Hill University on December, 2025, (Sole guidance

Thesis submitted: 1

  1. Ms. Bornali Baruah registered in North-Eastern Hill University on 22.02.2021 (Registration No. 4369 of 22.02.2021), (Co-Supervisor).

Registered: 5

  1. Ms. Janrhoni M. Kikon (22PhDCA03) registered in  North-Eastern Hill University (Registration No. 4677 of 16.12.2022), (Sole guidance).
  2. Belowen Khongsit (23PhDCA03) registered in North-Eastern Hill University (Registration No. 4927 of 05.12.2023) on December, 2023, (Sole guidance).
  3. Ms. Ambika Hazarika, registered in North-Eastern Hill University on 03.11.2021 (Registration No. 4498 of 03.11.2021), (Co-Supervisor).
  4. Mr. Kumar Deep Barman, registered in North-Eastern Hill University on 11.08.2017 (Registration No. 4497 of 03.10.2021), (Co-Supervisor).
  5. Ms. Moumita Roy registered in University of Kalyani on 22.08.2023 (Registration No. 100246 of 2020-2021), (Co-Supervisor).

Awards:

  • Won best paper award in IEEE sponsored 2nd International Conference on Emerging Trends in Electronics Devices and Computational Techniques(EDCT2025) organized by Guru Nanak Institute of Technology held during 20-21 November, 2025.
  • Won 3rd best paper 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 7thinternational conference on swarm intelligence, ANTS 2010, Brussels, Belgium, during September 8-10, 2010.
  • Won best Innovative Paper award  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

  • Ongoing ISRO funded project titled “Design and development of advance explainable AI techniques for change detection from remotely sensed images in presence of limited training samples” as PI starting from November 2025 for two years amounting Rs. 21,91,400/-.
  • One UGC Major Research Project titled “Automatic Recognition of Patterns in Numismatic Data” amounting Rs. 1124400.00 during 01.07.2015 to 30.06.2018 carried out as Co-PI.

Publications

Research Publications:

  • Intellectual Property Right (IPR): 2
  • International Journals (Peer Reviewed): 40
  • International Conferences (Peer Reviewed): 17
  • National Conference/Workshop/ Seminar (Peer Reviewed): 9
  • Book Chapter: 2    
  • Google Scholar citation: 841 (as on 04.07.2026)
  • (>https://scholar.google.co.in/citations?user=uqrUW4EAAAAJ&hl=en)
  • H-index: 15,  i10 index: 22 (as on 04.07.2026)

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

Orcid ID: https://orcid.org/0000-0001-6525-9804

Intellectual Property Right (IPR): 2

  • Design (no. 436216-001) on “Smart Apparatus for Drug-Drug Interaction Prediction” developed by A. Halder, B.Saha, S. Majumder and M. Roy granted registration on 30th October, 2024 by Indian Patent Office, Govt. of India.
  • Design (no. 436215-001) on “Smart Device for Arrythmia Detection Using ECG” developed by M. Roy, A. Halder,  S. Majumder and U. Biswas granted registration on 30th October, 2024 by Indian Patent Office, Govt. of India.

 (I) International Journals (Peer Reviewed) 

  1. S. Majumder, D. Patra, S. Gorai, A. Halder, U. Biswas,  “Attention-guided deep learning–machine learning and statistical feature fusion for interpretable mental workload classification from EEG”, Cognitive Neurodynamics  (Springer), vol 18(9), ISSN: 1871-4099 / 1871-4080, IF: 3.9, Indexed in SCIE, vol 20,  pp.18 (23 pages) , https://doi.org/10.1007/s11571-025-10392-1, 2026.
  2. S. Majumder, A. Halder, P. Bisht, M. Roy,  U. Biswas, “Wheelchair movement signal classification from EEG for motor impaired individuals using novel deep learning architecture”, Disability and Rehabilitation: assistive technology (Taylor & Francis), https://doi.org/10.1080/17483107.2026.2651889 IF: 2.0, Indexed in Scopus, 2026.
  3. B. Baruah, A. Kumar, and  A. Halder, “Protein sequence-based classification of Alzheimer’s disease using deep learning and attention mechanism”, Iran Journal of Computer Science (Springer), ISSN: 2520-8446 / 2520-8438,  Indexed in Scopus, vol 8,  pp. 2605–2633,  https://doi.org/10.1007/s42044-025-00331-y, 2025.
  4. B. Baruah, A. Kumar, and  A. Halder, “PPHN: Deep Sequential Learning Architecture for Parkinson’s Disease Prediction using Amino Acid Descriptors from Protein Sequences”, Cognitive Computation (Springer), ISSN: 1866-9964/ 1866-9956, IF: 4.3, Indexed in SCI, vol 17,  pp. 154 (30 pages) https://doi.org/10.1007/s12559-025-10515-0, 2025.
  5. A. Hazarika, A. Kumar, and  A. Halder,“AHDSN: an attention-enabled hybrid deep sequential network for cancer survivability prediction from multi-omics data”, Mammalian Genome (Springer), ISSN: 1432-1777/ 0938-8990, IF: 2.7,  vol (37),  pp. 2 (28 pages) https://doi.org/10.1007/s00335-025-10171-7, 2025
  6. K. D. Barman,  A. Halder, A.  Kumar,  B.  Bordoloi,“RateNet: a deep neural framework for inferring ratings from textual features”, Knowledge and Information Systems (Springer), Vol: 67, pages 11633–11673,  ISSN: 0219-1377 / 0219-3116, I.F. 3.1, Indexed in SCIE https://doi.org/10.1007/s10115-025-02571-7, 2025
  7. A. Halder, B. Saha, M. Roy, S. Majumder, “A novel deep sequential learning architecture for drug drug interaction prediction using DDINet”, Scientific Reports (Nature), 15(1), 9337, ISSN: 2045-2322, Impact Factor: 3.8, Indexed in SCIE, Scopus, UGC CARE etc. doi: 10.1038/s41598-025-93952-z, 2025.
  8. M. Roy, A. Halder, S. Majumder, U. Biswas, “AttentivECGRU: GRU based autoencoder with attention mechanism and automated fuzzy thresholding for ECG arrhythmia detection”, Applied Soft Computing (Elsevier), ISSN: 1568-4946, Impact Factor: 7.2, Vol. 167, Part B, December 2024, pp. 112337, Indexed in SCIE, Scopus, UGC CARE etc. https://doi.org/10.1016/j.asoc.2024.112337, 2024.
  9. A. Suting, A. Kumar, A. Halder, L.L. Chanu, “Rice Leaf Diseases Classification Using Deep Learning Algorithms for Smartphone Application Development: An Empirical Study”, International Journal of Image and Graphics (World Scientific), vol: 26(4), pp. 2650030, ISSN: 0219-4678 / 1793-6756, Indexed in SCIE, Scopus, https://doi.org/10.1142/S0219467826500300, 2024.
  10. 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.
  11. A Kumar, A. Halder, and D.C.B. Marak, “Semi???supervised fuzzy???rough extreme learning machine for classifcation of cancer from microRNA”, International Journal of Machine Learning and Cybernetics (Springer Nature), Volume 15, pages 4537–4548, 2024 , Impact Factor: 3.6, ISSN: 1868-8071, https://doi.org/10.1007/s13042-024-02164-w Indexed in SCI, Scopus.
  12. 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.
  13. 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 , Volume 83, pages 49213–49241,2023  doi: https://doi.org/10.1007/s11042-023-16806-8, Indexed in SCI, Scopus.
  14. 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: 7.5, Vol. 124,  No. 5, p. 106484(20 pages), 2023, https://doi.org/10.1016/j.engappai.2023.106484, Indexed in SCI, Scopus.
  15. 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, Web of Science, vol. 25 (1), 2023. https://doi.org/10.1142/S0219467824500566.
  16. 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.
  17. 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, Volume 26, pages 13567–13581, 2022 Impact factor: 3.732, https://doi.org/10.1007/s00500-022-07312-4, 2022 Indexed in SCI, Scopus.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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, Scopus.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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 SCIE, Scopus, UGC CARE etc.
  30. 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, https://doi.org/10.1016/j.jbi.2019.103136, vol: 92(April), pp. 103136, 2019, Indexed in SCI, Scopus, PubMed/Medline.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.

  (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 8th  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.
  8. K. D. Barman, B. Bordoloi, A. Kumar, A.  Halder, “Review Rating Predictions Using Improved Deep Learning Architecture”, In Proceedings of the IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN), ISSN: 979-8-3315-0526-4, pp. 468-472, 2024.
  9. A. Suting, D. Thangkhiew, A. Kumar, and A. Halder, “Emotion Detection Using Hybrid Deep Sequential Learning Architecture from EEG Signals”, In Proceedings of IEEE 16th International Conference on Computational Intelligence and Communication Networks, ISSN: 979-8-3315-0526-4,  pp. 316-320, 2024.
  10. A. Hazarika, A. Kumar, and A. Halder, Survivability Prediction from Multiomics Cancerous Data with 1DCNN-LSTM-Attention Mechanism, In Proceedings of IEEE 4th International Conference on Computer, Communication, Control & Information Technology, pp. 1-5, 2024.
  11. B. Baruah, A. Halder, and A. Kumar, Exploring Amino Acid Indices for the Classification of Parkinson's Proteins with the aid of Deep Learning, In Proceedings of IEEE 4th International Conference on Computer, Communication, Control & Information Technology, pp. 1-6, 2024.
  12. B. Baruah, A. Kumar, A. Halder, (2022). Sars Cov-2 Structural Protein Classification: An empirical Study. In Proceedings of International Conference on Environment and Sustainable Development (ICESD-2022) Theme: Emerging Trends in Agriculture, Life Science & Applied Computing. pp. 86
  13. K. D. Barman,  A. Kumar, A.  Halder, “A Hybrid Deep Learning Framework for Detecting Harmful Language in Social Media Texts”, In Proceedings of the IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN), ISSN: 2472-7555, pp. 277-281, IEEE, 2025.
  14. B. Baruah,  A. Kumar, A. Halder, A. Hazarika, “PD-Protein-CapsNet: Capsule Network-Based Deep Learning Framework Using Amino Acid Indices for Parkinson's Protein Classification”, In Proceedings of the IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN), ISSN: 2472-7555, pp. 606-610, IEEE, 2025.
  15. A. Hazarika,  A. Kumar, A. Halder, B. Baruah, “Cancer Subtype Detection from Multi-Omics Data Using LSTM-Attention Mechanism”, In Proceedings of the IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN), ISSN: 2472-7555, pp. 1873-1877, IEEE, 2025.
  16. A. Suting,  A. Kumar, A.  Halder, “ESDNet: Epilepsy Seizure Detection Using a Novel Hybrid Deep Sequential Network from EEG Signals”, In Proceedings of the International Conference on Data, Energy and Communication Networks (DECoN), ISBN: 979-8-3315-9442-8, pp. 1-5, IEEE, 2025.
  17. M. Roy, S. Majumder , S. Roy, A. Halder, U. Biswas, “ECG-DeepFusion: Hybrid Temporal and Attention-Based Learning for ECG Classification”, In Proceedings of the 2nd International Conference on Emerging Trends in Electronic Devices and Computational Techniques (EDCT 2025), ISBN: 979-8-3315-5813-0 , pp. 1-6, IEEE, 2025.

   (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 (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), 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 Classi???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.

Book Chapter

  • Halder, S. Dey and A. Kumar, Active learning using fuzzy k-NN for cancer classification from microarray gene expression data, in Advances in Communication and Computing, eds. P. Bora, S. Prasanna, K. Sarma and N. Saikia, Vol. 347(4) (Springer India, 2015), pp. 103 – 113.
  • K. D. Barman, A. Kumar, and A. Halder, Hybrid Deep Learning for Citrus Disease Detection: Bridging Agricultural Needs in North East India, in Computer Vision Techniques for Agricultural Advancements, (IGI Global Scientific Publishing, 2025), pp. 173-208.

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)

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