Areas of Interest/Specialization: 

Bioinformatics, Machine Learning, Pattern Recognition, Soft Computing, Theory of Computation and Computer Networks.

Work Experience:

• Assistant Professor, Department of Computer Applications, North-Eastern Hill University, Tura Campus,  Meghalaya (03/07/2012 -  till date).
• Teacher-In-Charge, Department of Computer Application, North-Eastern Hill University, Tura Campus, Meghalaya (26/09/2012 - 19/02/2017).

Administrative responsibilities undertaken: 

• Member, School Board, School of Technology, NEHU (2012-17, 2019-22, & 2024- )
• Member, BOS, Dept. of Computer Application, NEHU (2012-17, 2019-)
• Member, BOS, Dept. of Information Technology, NEHU (2016-19, 2022-25)
• Member, BOS, Dept. of ECE, NEHU (2019-22)
• Member, BOS, Dept. of Nanotechnology, NEHU (2019-22, & 2025-)
• Member, BOS, Dept. of Energy Engineering, NEHU (2016-19)
• Member, BOS, Dept. of Department of Architecture (2022-)
• Member, NTA Exam Centre, NEHU, Tura Campus
• Editorial Board member, The NEHU Journal (ISSN 0972- 8406)
• Member, Me??Gong E-magazine committee, NEHU, Tura Campus (1st and 2nd Issue)
• Member, Governing Body of Nongrum College, Zikabari, West Garo Hills, Meghalaya from 04/09/2019 to 03/09/2022. 

Ph.D. Supervision:

Ongoing:

• Mr. Kumar Deep Barman (Registration No. 4497 of 06.10.2021) (Supervisor)
• Ms. Ambika Hazarika (Registration No. 4498 of 03.11.2021) (Supervisor)
• Ms. Albania Suting (Registration No. 4676 of 13.12.2022) (Supervisor)

Thesis Submitted:

• Ms. Bornali Baruah (Registration No. 4369 of 22.02.2021), registered with North-Eastern Hill University, submitted her Ph.D. thesis titled “Protein Classification and Analysis of Protein-Protein Interactions”. (Supervisor)

Completed:

• Ms. Dikme Chisil B. Marak (Registration No. 2904 of 11.08.2017) was awarded the Ph.D. degree on 6th March 2024 by North-Eastern Hill University for her thesis titled “Machine Learning Techniques for Gene Expression Data Analysis”. (Joint Supervisor)

Intellectual Property Right (IPR)

• Design (No. 500653-001, Date: 03/05/2026) on “Processing Device for Ranking E-Commerce Recommendations from Customer Reviews”, by Indian Patent Office, Govt. of India.

Research Projects

Project Title: “Design and development of advance explainable AI techniques for change detection from remotely sensed images in presence of limited training samples”
Role: Co-PI
Funding Agency: Indian Space Research Organisation (ISRO)
Amount: Rs 21,91,400/-
Duration: 2 Years (2025-2027)
Current Status: Ongoing

Publications

International Journals (Peer Reviewed):

• A. Hazarika, A. Kumar, and A. Halder, “Semi-supervised ensemble learning with interval type-2 fuzzy-rough sets for Parkinson’s disease prediction from multi-omics”, Mammalian Genome (Springer), 37, 89 (2026). https://doi.org/10.1007/s00335-026-10256-x. (Indexed in SCIE, SCOPUS) [IF: 2.6].
• 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), Vol.  (37), pp. 2 (28 pages), 2025. https://doi.org/10.1007/s00335-025-10171-7. (Indexed in SCIE, SCOPUS) [IF: 2.6].
• B. Baruah, A. Halder, and A. Kumar, “Protein sequence-based classification of Alzheimer’s disease using deep learning and attention mechanism”, Iran Journal of Computer Science (Springer),  Vol. 8,  pp. 2605–2633, 2025.https://doi.org/10.1007/s42044-025-00331-y. (Indexed in SCOPUS).
• 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), Vol. 17,  pp. 154 (30 pages), 2025. https://doi.org/10.1007/s12559-025-10515-0. (Indexed in SCIE, SCOPUS) [IF: 7.4].
• K. D. Barman, A. Halder, A. Kumar, and B. Bordoloi, “RateNet: a deep neural framework for inferring ratings from textual features”, Knowledge and Information Systems (Springer), Vol. 67, pages 11633–11673, 2025. https://doi.org/10.1007/s10115-025-02571-7. (Indexed in SCIE, SCOPUS) [IF: 3.6].
• A. Suting, A. Kumar, A. Halder, and 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 Publishing), Vol. 26(4), pp. 2650030, 2024, https://doi.org/10.1142/S0219467826500300. (Indexed in ESCI, SCOPUS) [IF: 1].
• A Kumar, A. Halder, and D.C.B. Marak, “Semi-supervised fuzzy-rough extreme learning machine for classification of cancer from microRNA”, International Journal of Machine Learning and Cybernetics (Springer), Vol.15, pages 4537–4548, 2024, https://doi.org/10.1007/s13042-024-02164-w. (Indexed in SCIE, SCOPUS) [IF: 2.9].
• A. Kumar and A. Halder, “Greedy fuzzy vaguely quantified rough approach for cancer relevant gene selection from gene expression data”, Soft Computing (Springer), Vol.26, No.24, p. 13567–13581, 2022. https://doi.org/10.1007/s00500-022-07312-4. (Indexed in SCIE, SCOPUS) [IF: 2.5].
• 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), 1-27, ISSN:02883635 /  18827055 https://doi.org/10.1007/s00354-021-00123-5. (Indexed in SCIE, SCOPUS) [IF: 2.1].
• A. Kumar and A. Halder. “Ensemble-based active learning using fuzzy-rough approach for cancer sample classification”. Engineering Applications of Artificial Intelligence (Elsevier), vol. 91 (May), pp, 103591 (12 pages), 2020. https://doi.org/10.1016/j.engappai.2020.103591, (Indexed in SCIE, SCOPUS) [IF: 9].
• A. Kumar and 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), vol. 34 (1), pp, 2057001 (28 pages), 2019. https://doi.org/10.1142/S0218001420570013. (Indexed in SCIE, SCOPUS) [IF: 0.9].
• A. Halder and A. Kumar. “Active Learning using rough fuzzy classifiers for cancer prediction 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 SCIE, SCOPUS) [IF: 5.9].
• S. Majumder, A. Kumar and A. Halder. “Combining statistical and Fuzzy-rough classifiers for cancer Subtype prediction”. Journal of Biodiversity and Environmental Sciences, Vol. 21, No. 2, p. 92-99, 2022. (Indexed in Web of Science and UGC-CARE)
• 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, Vol. 20, No. 5, p. 45-52, 2022. (Indexed in Web of Science and UGC-CARE)
• 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 and UGC-CARE)
• A. Kumar and 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.
• A. Kumar and 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.
• A. Kumar and 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.

Book Chapter

• 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.
• 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 Advances in Science and Technology, (i-manager publications, 2018), pp. 86– 91.
• A. 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.

National / International Conference/Workshop/ Seminar:

• 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.
• 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.
• 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.
• 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.
•  K. D. Barman, B. Bordoloi, A. Kumar, and A. Halder, Review Rating Predictions Using Improved Deep Learning Architecture, In Proceedings of IEEE 16th International Conference on Computational Intelligence and Communication Networks, pp. 468-472, 2024.
• 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, pp. 316-320, 2024.
• 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.
• 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.
• A. Kumar and A. Halder, Ensemble technique using fuzzy-rough approach for cancer sample classification from gene expression data.  In Proceedings of National Conference on Mathematical Sciences & Applications in Science, Engineering & Technology (MSASET-2018) 25-26 March 2019.
• 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.

Member of Organizing Committee:

• Two weeks National Online Workshop on Art of Computer Programming, Organized by Department of Computer Application, North-Eastern Hill University, Tura Campus, Meghalaya, 14-25 March 2022.
• National Workshop on Computer Network Security,  In association with E-Cell IIT Kanpur, Organized by Department of Computer Application, NEHU, Tura Campus, Tura, Meghalaya, 26-27 May 2016.
• National Workshop on Android Application Development,  In association with Aspirevision Tech Education Pvt. Ltd, Organized by Department of Computer Application, NEHU, Tura Campus, Tura, Meghalaya, 11-15 March 2019.
• North-Eastern Workshop on LaTeX a document preparation System, Organized by Department of Computer Application, NEHU, Tura Campus, Tura, Meghalaya, 16-17 September 2014.

Participated /Delivered in Seminar/Conference/Workshop/FDP/OP/RC:

• Participated in Online Faculty Development Programme on Generative AI for Computer Vision jointly organized by the Electronics and ICT Academies at MNIT Jaipur, IIT Kanpur, and PDPM IIITDM Jabalpur, 09/03/2026 to 19/03/2026.
• Participated in Online Faculty Development Programme on AI-based Drug Design organized by the Electronics and ICT Academy (Phase-II), Pandit Dwarka Prasad Mishra Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, 17/03/2025 to 22/03/2025.
• Participated in Refresher Course on Recent Trends in Artificial Intelligence, Machine Learning and Applications Organized by UGC-MMTTC, North-Eastern Hill University, Shillong, Meghalaya, 18/6/2024 to 2/7/2024.
• Delivered a talk in SERB Sponsored High End Workshop on Applications of Artificial Intelligence in Healthcare, organized by Dept. of Computer Application, North-Eastern Hill University, Tura Campus, Meghalaya, on 19/9/22 and 24/9/22.
• Participated in Refresher Course (ICT), Organized by UGC-Human Resource Development Centre, University of Lucknow, Lucknow, Uttar Pradesh, 18 June -01 July, 2022.
• Delivered a talk in Two weeks National Online Workshop on Art of Computer Programming, organized by Dept. of Computer Application, North-Eastern Hill University, Tura Campus, Meghalaya, on 16/3/22 and 17/3/22.
• Participated in One week Online International FDP on Machine learning and Computer Vision: Applications, Research Challenges, jointly organized by NIT, Silchar, Assam and IST, Gauhati  University, Assam, 24-28 August, 2021.
• Participated in online FDP on Advanced Optimization Techniques and hands-on with MATLAB/SCILAB, jointly organized by Electronics and ICT Academies under the “Scheme of financial assistance for setting up of Electronics and ICT Academies” by the Ministry of Electronics and Information Technology (MeitY), Government of India. 13 – 24 July 2020.
• Participated in One Week Online Faculty Development Programme on LaTeX, organized by the Department of Information Technology, Mizoram University, from 29/06/2020 to 03/07 2020.
• Participated in Refresher Course (IT), Organized by UGC-Human Resource Development Centre, Ranchi University, Ranchi, Jharkhand, 02 -22 December 2015.
• Participated in Orientation Programme, Organized by UGC Academic staff College, Ranchi University, Ranchi, Jharkhand, 05 November - 02 December 2014.
• Participated in Short Term course on Wireless Networks and Security, Organized by Department of Information Technology, NIT Patna, Bihar, 15-19 October 2012.
• Participated in ISI-AU on Intelligent Data Analysis: Theory and Application, Organized by Department of Information Technology, Assam University, Silchar, Assam, 1-5 March 2011.
• Participated in Faculty Development Programme, Organized by Department of Computer Science, NERIM, Guwahati, Assam, 19 -31 January 2009.
• Participated in ADCOM-2007 Organized by Department of Computer Science & Engineering, IIT Guwahati, Assam, 18 -21 December 2007.
• Participated in National Conference on Trends in Advanced Computing, Organized by Department of Computer Science & Engineering, Tezpur University, Assam, 22-23 March 2007.