Areas of Interest

• Machine Learning and Artificial Intelligence
• Network Security
• Remote Sensing and Geospatial Analytics
• Smart Agriculture and Environmental Informatics

Teaching Experience:

Assistant Professor, Department of Information Technology, North-Eastern Hill University, Shillong. Duration: July 2012 – Present

Administrative Responsibilities

• Nodal In-charge, Samarth e-Governance Implementation, NEHU
• Coordinator, Centralized Computer Centre, School of Technology, NEHU
• Member, AICTE approval committee, School of Technology, NEHU, Shillong (2016-2023)
• Coordinator, M.Tech Admission Committee (multiple years)
• Member, Board of Management Committee, Computer Centre, NEHU
• Member, Board of Studies, Department of Information Technology
• DPC Member, IT Department, NEHU
• Former Warden, Symper Hostel

Research Supervision

• M.Phil. Thesis/dissertation Submitted:13
• Ph.D. Thesis/Dissertation Submitted: 1

Professional Development

• Selected training and faculty development programmes:
• Refresher Course on Information & Communication Technology (2023)
• NEP 2020 Orientation & Sensitization Programme (2023)
• Refresher Course on Machine Learning (2020)
• Refresher Course on Research Methodology (2020)
• FDP on Artificial Intelligence
• FDP on Internet of Things (IoT)
• FDP on 3D Printing & Design
• Workshop on Hands-on Machine Learning using Python
• MOOC on Data Mining (NPTEL)

Seminars/workshops/conference organized

• 3-day workshop on How to Start a Business organized by Department of IT, NEHU, Shillong in association with the Confederation of Indian Industries (CII) and the Sleepwell Foundation on 31^st Oct, 1^st & 2^nd Nov 2020.
• 1-day seminar on Post-COVID IT Industry and Job Opportunity organized by Department of IT, NEHU, Shillong in association with Computer Society of India (CSI), Region- II on 12^th OCT 2020.
• UGC-Sponsored Short-Term Course in Cyber Security held from 4^th December 2023 to 9^th December, 2023, organized by UGC-Malaviya Mission Teacher Training Centre, NEHU, Shillong.

Research Projects

• Research project completed: 01
• Research project ongoing: 01.

Publications

Journal publications

1. Ahirwal, J., Saha, P., Nath, A., Nath, A. J., Deb, S., & Sahoo, U. K. (2021). Forest litter dynamics and environmental patterns in the Indian Himalayan region. Forest Ecology and Management, 499, 119612. https://doi.org/10.1016/j.foreco.2021.119612
2. Amitab, K., Hmingliana, L., & Nath, A. (2021). Application of machine learning techniques in crop disease classification: Comprehensive review. Science and Technology Journal, 9(1). https://doi.org/10.22232/stj.2021.09.01.15
3. Kumar, R., Nath, A. J., Nath, A., Sahu, N., & Pandey, R. (2022). Landsat-based multi-decadal spatio-temporal assessment of the vegetation greening and browning trend in the Eastern Indian Himalayan Region. Remote Sensing Applications: Society and Environment, 25, 100695. https://doi.org/10.1016/j.rsase.2022.100695
4. Nath, A., Bortiew, A., & Saha, G. (2021). Change detection in Landsat 8 imagery using object-based image analysis with particle swarm optimisation. International Journal of Intelligent Enterprise, 8(2-3), 251-266. https://doi.org/10.1504/IJIE.2021.114506
5. Nath, A., Mawlong, P., & Saha, G. (2019). River body extraction using convolutional neural network. Journal of Information and Optimization Sciences, 40(8), 1741-1751. https://doi.org/10.1080/02522667.2019.1704522
6. Nath, A., Mthethwa, F., & Saha, G. (2020). Runoff estimation using modified adaptive neuro-fuzzy inference system. Environmental Engineering Research, 25(4), 545-553. https://doi.org/10.4491/eer.2019.166
7. Nath, A., et al. (2020). Multi criteria decision making approach and clustering technique for dam site selection. Science and Technology Journal, 8(1). https://doi.org/10.22232/stj.2020.08.01.05
8. Nath, A. J., Sileshi, G. W., Bania, J. K., & Nath, A. (2024). Threats to inland wetlands and uncertainty around global soil carbon stocks and sequestration rates. Science of the Total Environment, 955, 177190. https://doi.org/10.1016/j.scitotenv.2024.177190
9. Sarkar, B. C., Tamang, M., Shukla, G., Debnath, M. K., Nath, A., Nath, A. J., & Chakravarty, S. (2024). Assessing the elevational relationship with soil physico-chemical properties under traditional large cardamom agroforestry system in the Indian Eastern Himalayas: A case study using machine learning algorithms. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-05433-4
10. Saha, P., & Nath, A. (2025). Harnessing multi-source data and machine learning for enhanced rice yield estimation. Computers and Electronics in Agriculture, 237, 110633. https://doi.org/10.1016/j.compag.2025.110633
11. Saha, P., Amitab, K., & Nath, A. (2025). Assessing CO??? emission trend and its impact on agricultural crop health using machine learning technique. Procedia Computer Science, 258, 1506–1516. https://doi.org/10.1016/j.procs.2025.04.383
12. Saha, P., Marbaniang, T., & Nath, A. (2025). Exploring factors affecting land surface temperature using machine learning technique: A case study on Meghalayan terrain. Science and Technology Journal, 13(1). https://doi.org/10.22232/stj.2025.13.01.16
13. Bania, J. K., Nath, A., Sileshi, G. W., Paul, A., Kumari, T., Das, A. K., & Nath, A. J. (2025). Variations and drivers of biomass and soil carbon stocks in planted forests across India. Environmental and Sustainability Indicators, 101101. https://doi.org/10.1016/j.indic.2025.101101
14. Hoojon, R. (2026). Khasi Named Entity Recognition Corpus (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20474594
15. Hoojon, R., Nath, A., & Lyngdoh, S. (2026). Evaluating Ensemble-Based Classifiers for Khasi Named Entity Recognition with Data Imbalance Constraints. Science & Technology Journal, 14(Online First).
16. Nath, A., Lalhmingliana, L., & Saha, G. (2019). Optimal river interlinking using data-driven machine learning techniques. International Journal of Recent Technology and Engineering, Volume-8 Issue-4,. https://www.doi.org/10.35940/ijrte.D7151.118419

Publication of Book / Book Chapter

1. Nath, A., Nath, A. J., Pandey, R., & Das, A. K. (2021). Modeling soil organic carbon: Implications for soil organic matter management in the Indian Himalayan region. In Soil Organic Carbon and Feeding the Future (pp. 205–218). CRC Press.
2. Nath, A., Diganta, B., & Saha, G. (2021). Gated recurrent unit: An effective tool for runoff estimation. In Proceedings of the International Conference on Computing and Communication Systems (I3CS 2020) (Vol. 170, p. 145). Springer Nature.
3. Sriraksha, & Nath, A. (2021). Real-time data analysis using fog intelligence. In Proceedings of the International Conference on Computing and Communication Systems (I3CS 2020). Springer Nature.
4. Mthethwa, F., & Nath, A. (2021). Cluster analysis using improved bio-inspired fuzzy C-means algorithm. In Proceedings of the International Conference on Computing and Communication Systems (I3CS 2020). Springer Nature.
5. Nath, A., & Nath, A. J. (2022). Assessing land degradation using SDG 15.3.1 indicators: Case study from climate-vulnerable Assam State of India. In P. Panwar, G. Shukla, J. A. Bhat, & S. Chakravarty (Eds.), Land Degradation Neutrality: Achieving SDG 15 by Forest Management (pp. 117–129). Springer Nature.
6. Reang, D., Nath, A., Nath, A. J., & Das, A. K. (2022). Carbon stock potential and ecosystem services provisioned by major land-use systems in Southern Assam, India: A meta-analysis. In S. Chakrabarty (Ed.), Sustainability, Development and Conservation of Natural Resources (Chapter 3, pp. 33–39). Apple Academic Press/CRC Press.
7. Hoojon, R., & Nath, A. (2023). BiLSTM with CRF part-of-speech tagging for Khasi language. In Proceedings of the 4th International Conference on Computing and Communication Systems (I3CS) (pp. 1–7). IEEE. https://doi.org/10.1109/I3CS58314.2023.10127278
8. Saha, P., Nath, A., & Nath, A. J. (2023). Land degradation evaluation based on SDG indicators in the eastern Himalayan region: A case study from Nagaland State. In Climate Change in the Himalayas (pp. 141–160). Academic Press. https://doi.org/10.1016/B978-0-443-19415-3.00002-5
9. Saha, P., Marbaniang, T., Lalhmingliana, & Nath, A. (2023). Automated smart irrigation system for potato cultivation using machine learning techniques: A case study. In International Conference on Data, Electronics and Computing (pp. 113–126). Springer Nature. https://doi.org/10.1007/978-981-97-8476-9_9
10. Saha, P., & Nath, A. (2025). Leveraging machine learning techniques to analyse soil organic carbon dynamics in the Eastern Himalayan Region. In Emerging Trends and Future Directions in Artificial Intelligence, Machine Learning, and Internet of Things Innovations. CRC Press. https://doi.org/10.1201/9781003675235-1
11. Estimation of soil erosion vulnerability of Umiam Reservoir catchment in Meghalaya using Revised Universal Soil Loss Equation (RUSLE) model. (Book chapter listed in the CAS application; complete bibliographic details not available in the supplied documents.)

Invited Lectures:

• Mobile Computing and its Application – Invited Talk on  the event of research outreach activity organized by the Department of Computer Science & Engineering, Karimganj College.
• Cyber Crime – Resource Person, UGC-HRDC 38th Orientation Programme, North-Eastern Hill University, Shillong.
• Information Theft and Prevention Mechanism – Resource Person, UGC-HRDC 39th Orientation Programme, North-Eastern Hill University. Shillong.
• Information Theft and Prevention Mechanisms – Invited Lecture at UGC-HRDC 43rd Orientation Programme (General), North-Eastern Hill University, Shillong.
• Basics of Information Theft and Prevention Mechanisms – Invited Lecture at UGC-HRDC 47th Orientation Programme (General), North-Eastern Hill University, Shillong.
• Interactive Web Content Development and Publication to Support ICT in Higher Education – Invited Lecture during the Short-Term Course on MOOCs, e-Content Development and Open Educational Resources, UGC-HRDC, NEHU, Shillong.
• Cyber-Threats in the New Normal of Education – Invited Lecture at UGC-HRDC 50th Orientation Programme (General), North-Eastern Hill University, Shillong.
• Digital Platforms for Effective Online Delivery in Higher Education Teaching and Learning – Invited Lecture during the Workshop on MOOCs, Online Courses and OERs, UGC-HRDC, NEHU, Shillong.
• Cyber-Threats in the New Normal of Education – Invited Lecture at the 2nd Faculty Induction Programme, UGC-HRDC, North-Eastern Hill University, Shillong).
• Artificial Intelligence (AI): Its Scope and Importance – Invited Lecture during the Refresher Course in Biomedical Sciences, UGC-HRDC, North-Eastern Hill University, Shillong.
• Introduction to Deep Learning – Resource Person in the Refresher Course in Artificial Intelligence and Data Science (Multidisciplinary), UGC-HRDC, North-Eastern Hill University, Shillong.
• Basics of Python Programming – Resource Person in the Refresher Course in Artificial Intelligence and Data Science (Multidisciplinary), UGC-HRDC, North-Eastern Hill University, Shillong.
• Introduction to Project Samarth – Invited Lecture at the 13th Faculty Induction Programme, UGC-HRDC, North-Eastern Hill University (18 July–17 August 2023).
• Samarth e-Gov Suite – Invited Lecture at the 14th Faculty Induction Programme, UGC-HRDC, North-Eastern Hill University, Shillong
• Introduction to Project Samarth – Invited Lecture at the 15th Faculty Induction Programme, UGC-HRDC, North-Eastern Hill University, Shillong.
• Samarth e-Gov Suite – Invited Lecture at the 16th Faculty Induction Programme, UGC-HRDC, North-Eastern Hill University, Shillong.
• Samarth e-Gov Suite – Invited Lecture at the 12^th Faculty Induction at the UGC-HRDC, North-Eastern Hill University, Shillong.
• Assessing CO??? Emission Trend and its Impact on Agricultural Crop Health using Machine Learning Technique – Presented at the International Conference on Machine Learning and Data Engineering (ICMLDE 2024), School of Computer Science, UPES, Dehradun, India.
• Automated Smart Irrigation System for Potato Cultivation Using Machine Learning Techniques - A Case Study – Paper presented at the ICDEC 2023 organized by Departments of Computer Engineering and Electronics & Communication Engineering, Mizoram University, Aizawl, Mizoram, India.
• Climate-Smart Farming: How AI is Shaping the Next Agricultural Revolution – Invited Lecture during the Refresher Course in Electronics and Communication Engineering (Multidisciplinary), UGC-HRDC, North-Eastern Hill University, Shillong.
• Building Resilient Communities by Combining Earth Observation Capabilities with AI-Enabled Early Warning and Rapid Assessment Systems – Delivered an invited lecture in the event organised by the Disaster Risk Reduction (DRR) Club at Assam University, Silchar, Assam.
• Data Literacy in the Digital Age: A Foundational Skill for All - Invited Lecture during the five-day training on "Data Analytics" organised by BPR&D, New Delhi, and held from 9th to 13th March, 2026, at the Meghalaya Police Academy, Umran, Meghalaya.
• AI-Driven Earth Observation for Resilient Communities - Invited Lecture during the Research Facility Training Programme held at the Department of IT, NEHU, Shillong.
• Digital Governance – Delivered an invited lecture at the Short-term Course for Academic Administrators held at the UGC-MMTTC, NEHU, Shillong on 20^th December 2023.