Keshab Nath received his Ph.D degree from the Department of Information Technology, North-Eastern Hill University (A Central University) , Shillong, India. He received his B. Tech and M. Tech degree in Information Technology in the year 2011 and 2014 from North-Eastern Hill University and Assam University (Central University) , India respectively. Dr. Nath has enriched the academic world with his tenure as an Assistant Professor at premier institutions like the Indian Institute of Information Technology, Kottayam, National Institute of Technology Meghalaya and Amity University, Mumbai. Notably, Dr. Nath's inventive genius is patent-recognized in medical and agricultural technology domains, marking him as a beacon of interdisciplinary innovation. His prolific publication record and mentorship in guiding B.Tech, M.Tech, and Ph.D. students underscore his commitment to advancing the frontiers of knowledge and technology. He is an IEEE, ACM member. He has been working on various application areas like data mining in complex and evolving graphs. Currently, he has been working on Graph Neural Networks, Generative Network Models and Explainable AI (XAI) for Networks. He has published extensively in these areas in top journals and conference proceedings. He is in technical committee of various reputed international journals and conferences. He has qualified his UGC-NET with 96.8 percentile.

Research Interests: Data Mining, Soft Computing, Machine Learning and Computational Biology.

E-mail: keshabnath[AT]live[dot]com, keshabnath[AT]bhattadevuniversity[dot]ac[dot]in

Google Scholar LinkedIn ResearchGate ORCID Scopus

Professional Experience:

- Jan 2024 - Present Assistant Professor Bhattadev University, Bajali
- Jan 2020 - Jan 2024 Assistant Professor Indian Institute of Information Technology Kottayam
- Aug 2019 - Dec 2019 Assistant Professor Amity University, Mumbai
- Jan 2019 - May 2019 Assistant Professor (Adhoc) National Institute of Technology, Meghalaya
- Jun 2018 - Dec 2018 Guest Faculty North Eastern Hill University, Shillong.
- Aug 2017- May 2018 Visiting Faculty MIT University (Formerly known as UTM, Shillong)
- Jan 2015 - May 2015 Guest Lecturer Central Institute of Technology, Kokrajhar
- July 2013 - Jun 2014 M.Tech Trainee Indian Statistical Institute(ISI), Calcutta
- Jan 2012 - Jun 2012 Center Incharge Integrated Systems & Services (ISS)

Patents:

National:

Breast Cancer Detection Device, Design Number 348366-001, Date of Registration 26/08/2021.
Automated Solar-Powered Weeding Robot, Design Number 348482-001, Date of Registration 27/08/2021.

International:

1. 1. An Intelligent Retail Shopping System That Uses A Wearable Band, Utility model No. 20 2022 101 747 IPC: GO6Q 30/06, Registration date: March 31, 2022, Date of entry: April 11, 2022, Federal Republic of German.

Publications:

Journals:

Keshab Nath, R. Shanmugam, V. Varadaranjan, ma-CODE: A Multi-Phase Approach on Community Detection in Evolving Networks, Information Sciences, Elsevier, https://doi.org/10.1016/j.ins.2021.02.068. (SCI IF:8.2).
Keshab Nath, Swarup Roy and Sukumar Nandi, InOvIn: A Rough-Fuzzy Approach for Detecting Overlapping Communities with Intrinsic Structures in Evolving Networks, Applied Soft Computing, Elsevier, https://doi.org/10.1016/j.asoc.2020.106096. (SCI IF:8.7).
Aditya Taparia, A. K. Bashir, Keshab Nath et al., "Transforming satellite imagery into vector maps using modified GANs" Alexandria Engineering Journal, Elsevier, https://doi.org/10.1016/j.aej.2024.09.074. (SCI IF:6.2).
Amit Kumar Roy, V. Varadaranjan, Keshab Nath, "Efficient handover authentication protocol with message integrity for mobile clients in wireless mesh networks", Journal of Information Security and Applications (JISA), Elsevier, Volume 84, August 2024, 103806, https://doi.org/10.1016/j.jisa.2024.103806. (SCI IF:5.6).
Rupam Kumar Sharma, Biju Issac, Keshab Nath et al “Plant and Salamander Inspired Network Attack Detection and Data Recovery Model” Sensors 2023, 23(12), 5562; https://doi.org/10.3390/s23125562. (SCI IF:3.9).
Keshab Nath, Rupam Kumar Sharma, Sk Mahmudul Hassan, "LB-SAM: Local Beam Search with Simulated Annealing for Community Detection in Large-Scale Social Networks" IEEE Access (SCI IF:3.4).
HJ Mahanta, Keshab Nath, AK Roy, K Kotecha, V Varadaranjan “Using Genetic Algorithm in Inner Product to Resist Modular Exponentiation From Higher Order DPA Attacks” IEEE Access 10, 3238-3251(SCI IF:3.47).
Keshab Nath and Swarup Roy Detecting Intrinsic Communities in Evolving Networks, Social Network Analysis and Mining (SNAM), Springer, (2019) 9: 13. https://doi.org/10.1007/s13278-019-0552-3 . (ESCI IF 2.8).
M Sharma, Keshab Nath, RK Sharma, CJ Kumar, A Chaudhary “Ensemble averaging of transfer learning models for identification of nutritional deficiency in rice plant” Electronics 11 (1), 148, (SCI IF:2.6).
Keshab Nath, K. H. K. Reddy and X. Gao, Uncovering Hidden Community Structures in Evolving Networks Based on Neighborhood Similarity Journal of Intelligent Fuzzy Systems, IOS Press 39 (6), 8315-8324 (SCI IF:1.76).
Sk Mahmudul Hassan, Keshab Nath, Michal Jasinski & Arnab Kumar Maji, "AI-driven plant disease detection with tailored convolutional neural network", 1–26. https://doi.org/10.1080/0954898X.2025.2537680. Taylor & Francis (SCI IF:1.6).
Keshab Nath “Local Intrinsic Density Based Community Detection Using Branchand-Bound and Minimum Spanning Tree” Systems and Soft Computing, Elsevier, 4, 200044. (ESCI IF 3.6).
Keshab Nath and Swarup Roy “An Incremental Approach for Hierarchical Community Mining in Evolving Social Graphs”, International Journal of Intelligent Enterprise. Inderscience, 10.1504/IJIE.2020.10022019. (Scopus).
Keshab Nath and Swarup Roy “A Parallel Incremental Approach for Finding Communities in Evolving Network”, Journal of Computational and Theoretical Nanoscience. ASP 15 (6-7), 2454-2460. (Scopus).
Pillai Praveen Thulasidharan, Keshab Nath "A novel binary quantizer for variational autoencoder-based image compressor", International Journal of Computers and Applications, Tylor & Francis, 1–17. https://doi.org/10.1080/1206212X.2024.2380651. (Scopus CS 4.9)
Gayatri Gogoi, Rashmi Rani Boro, Sarangthem Dinamani Singh, Emon Kalyan, Akib Ali, Keshab Nath, Hridoy Jyoti Mahanta, Pankaj Bharali "Post-pandemic Surveillance of SARS-CoV-2 in Wastewater Bodies using Integrated Molecular Analysis", Cleaner Water, Elsevier, Volume 3, June 2025, 100079.(Scopus)

Books:

Keshab Nath, Vijaya Kumar Varadarajan, “Networks and Machine Learning: Models, Algorithms, and Applications” Taylor & Francis, (Accepted).

Book Chapters:

Thomas John, Keshab Nath, Koppala Guravaiah "Exploring the Adoption and Innovation of Digital Twins in Healthcare", Procedia Computer Science (Scopus) Elsevier, Volume 257, 2025, Pages 93-102.
Vijai Danni, Keshab Nath “Generative Adversarial Network for Augmenting LowDose CT Images” Multi-disciplinary Trends in Artificial Intelligence https://doi.org/10.1007/ 978-3-031-36402-0 40.
Anjali M N, Tejash More, Kumari Misa, Keshab Nath “Narrative Paragraph Generation for Photo Stream Using Neural Networks” Communication and Intelligent Systems pp 235–246, vol- 686, https://doi.org/10.1007/978-981-99-2100-3 20.
Swarup Roy, Pooja Sharma, Keshab Nath, Dhruba K Bhattacharyya, Jugal K Kalita, "Pre-Processing: A Data Preparation Step", Encyclopedia of Bioinformatics and Computational Biology, Elsevier, Vol-1, 2019, Pages 463-471, ISBN 9780128096338.
Keshab Nath, S. Roy, "A Parallel Approach to Detect Communities in Evolving Networks", Big Data Analytics, Springer. pp 188-203, vol- 11297.
Keshab Nath, S. Roy, and S. Nandi, "Incremental Approach for Detecting Arbitrary and Embedded Cluster Structures", Model and Data Engineering, Springer. pp 220-233, Vol- 9893.
Keshab Nath, Subhash Basistha, "On-Line And Off-Line Handwriting Recognition Of Assamese Language- A Preliminary Idea", Advances in Communication and Computing, Springer 2015, 347, pp. 183-192.
Keshab Nath, S. Roy, "Soft Clustering for Segmenting Touching Characters in Printed Scripts", Microelectronics, Electromagnetics and Telecommunications, Springer., pp 289-297, Vol- 521.
Keshab Nath, S. Roy, "Overlapping Community Detection in Static and Dynamic Networks: A Qualitative Assessment", Lecture notes in networks and systems, vol 170. Springer, Singapore. https://doi.org/10.1007/978-981-33-40848 11.
Sreejith AK, Keshab Nath, "A Next-Gen Real-Time Video Alert System with Machine Learning Sensitivity”. Procedia Computer Science (Scopus). Vol 235, PP 447-455. https://doi.org/10.1016/j.procs.2024.04.044.
Lakshin Kumar, Archana A, Keshab Nath, "Predicting and Navigating Environmental Transformations using Machine Learning”, Procedia Computer Science (Scopus). Volume 235, PP 889-896, https://doi.org/10.1016/j.procs.2024.04.084.

Conference/Workshop Publications:

Keshab Nath, Swarup Roy, "Overlapping Community Detection in Static and Dynamic Networks: A Qualitative Assessment", International Conference on Computing and Communication Systems (I3CS’20)
Ronald A. Dkhar, Keshab Nath, Swarup Roy, D. K. Bhattacharyya, S. Nandi, "Evaluating the Effectiveness of Soft K-Means in Detecting Overlapping Clusters", Second International Conference on Information and Communication Technology for Competitive Strategies (ICTCS-2016) ( ACM-ICPS, Volume ISBN: 978-1-45033962-9).
Keshab Nath, Sourish Dhar, Subhash Basistha, "Web 1.0 to Web 3.0 – Evolution of the Web and its Various Challenges", International Conference on Reliability Optimization & Information Technology (ICROIT 2014) IEEE.
Keshab Nath, Laishram Rahul, Srafaraz Jelil, "Segmentation Scheme for the Recognition of Assamese Machine Printed Text", International Conference on Recent Trends in Information Technology (ICRTIT 2014) IEEE.
Keshab Nath, Srafaraz Jelil, Laishram Rahul, "Line, word and Character Segmentation of Manipuri Machine Printed Text", International Conference on Computational Intelligence and Communication Networks (CICN 2014) IEEE.
Raja Iswary, Keshab Nath, "Syntactic Sentence Similarity Detection through Parts of Speech Tagging", International Conference on Computing and Communication Systems (I3CS’15).
Keshab Nath, Subhash Basistha, "On-Line And Off-Line Handwriting Recognition Of Assamese Language- A Preliminary Idea", 2014 National Workshop on Advances in Communication and Computing (WACC).
Keshab Nath, Raja Iswary, "What Comes After Web 3.0? Web 4.0 and the Future", International Conference on Computing and Communication Systems (I3CS’15).

Research Supervision (B.Tech/M.Tech. and Ph.D)

B.Tech:

Aditya Thaparia,“Interactive Vector Map Generation From Satellite Images using Deep Learning Methods”, IIIT Kottayam.
Uppuluri Divyanth Satya, “Graph-based Representation of Whole Slide Images for Exploring Connectivity Patterns and Relationships within Tissues”, IIIT Kottayam.
Shaik Luckman Lal Miya Bahadur, Sri Rama Varshith P, Pathi Vedavrath, Jangam Anurag P, “Automated Gleason Grading For Histopathological Images”, IIIT Kottayam.
Rahul Ranjan, Vinay Yaddanapudi, Uppili Sandeep, Kaushal Sharma, “Multi-View Apporach for Link Prediction in Complex Networks”, IIIT Kottayam.
Appus Devis K, Yogesh Raj, Thalari Ujjwal, Bhushi Tagore Subbarai, “Integrating Multi-omics Data for Network Pharmacology using Graph Neural Networks”, IIIT Kottayam.
Aditya Kumar Nayak, “Lane Line Detection and Traffic Sign Recognition for Self Driving Car”, IIIT Kottayam.
Anjali M N, Kumari Misa, Tejash More, “Visual Narration : An Xception Based Image Captioning Model”, IIIT Kottayam.

M.Tech:

Thomas John, “Edge Computing in Iot-Enabled Blood Glucose Monitoring System”, IIIT Kottayam.
Vijai Danni, “Low-Dose CT Image Augmentation Using Generative Adversarial Network”, IIIT Kottayam.
Retheesh R Nair, “Predicting Missing Links in Complex Networks Using Graph Representation Learning”, IIIT Kottayam.
Sreejith A K, “The Real-Time Sensitive Video Detection and Alert System”, IIIT Kottayam.
Amith C A, “Optimized Meta-Learning Approach for Classification Tasks on Graphs”, IIIT Kottayam.
Anupam Srivastava, “BioConnect: Building an Interactive Knowledge Graph for Biomarker-Disease Associations”, IIIT Kottayam.
Dheeraj Kumar Dubey, “Community Detection with Contextual Information in Complex Multilayer Systems”, IIIT Kottayam.
Sooraj K, “Medical Knowledge Graph Completion”, IIIT Kottayam.
Jisha N T, “Predictive Demand Response and Unit Commitment Using Time Series Analysis”, IIIT Kottayam.

Ph.D.:

1. Pillai Praveen Thulasidharan (2021PHD11004)

Title: Heuristic Approaches for Giga-pixel Whole Slide Image Analysis in Digital Pathology, IIIT Kottayam.

1. Thomas John (2023PHD21014)

Area: Digital twin for healthcare systems, IIIT Kottayam.

3. Binu T O (2023PHD21012)

Area: Large Language Models in Medicine, IIIT Kottayam.

Workshop/Conference/Internship Organized

Organized and coordinated the 3 weeks Summer Internship Program 2025 at Bhattadev University in collaboration with NIELIT Guwahati, offering hands-on training in Python Programming and Basic Computer Skills to over 120 participants from diverse academic backgrounds.

Tutorials and Invited Talks

Resource Person:

Resource Person on "One day Awareness Programme on Cyber Security" for MSME's Organized by CUT's Internationals in Association with the Industries and Commerce Department, GoA, 18th June 2025.
Resource Person on "Hands-on Training on Bioninformatics Tools" organized by "DBT-NER institutional Biotech Hub at Bhattadev University, Bajali, Assam" Sponsored by DBT, Govt. of India, 7th April 2025.
Invited talk in the "Entrepreneurship and Skill Development Program" organized by the School of Energy Science and Engineering in collaboration with Technology Innovation Hub, IIT Guwahati (IITG TI&DF), 19th November to 23rd November, 2024.
Lecture on "AI/ML for Interdisciplinary Applications" Bhattadev University, Bajali, April 1st, 2024.
Workshop on "Essential Cybersecurity Awareness for Everyone", Bhattadev University, Bajali, March 20, 2024.
Workshop on"Data Mining and its Application to Disease Diagnosis" at Dept. of Computer Science, St. Edmund’s College, Shillong August 2017.
Training Program on "State of the Art in Artificial Intelligence and Machine Learning" from 16-22, December”, Tripura University.
Five-day workshop cum FDP on “Next Gen Computing Paradigms for BigData Applications(NCBD)” organized by the Department of CSE, IIIT Kottayam.
Five-day workshop cum FDP on ”Optimization Techniques for AI/ML/DS Models” organized by the Department of CSH, IIIT Kottayam.
STTP on "Recent Advancement in AI and Machine Learning" organized by the Department of CSE, Kaziranga University.