Journals

1. Krishna Kumar, M Sheetal Singh, Khelchandra Thongam, Prakash Choudhary, “HMLA: A Hybrid Machine Learning Approach for Enhancing Stroke Prediction Models with Missing Data Imputation Techniques”, Scientific Reports, 2025 (SCI Expanded)
   
2. M. Sheetal Singh, Khelchandra Thongam, Prakash Choudhary and P.K. Bhagat “Stroke Risk Prediction and Prevention: Traditional vs Machine Learning Approaches”, Archives of Computational Methods in Engineering, September 2025, https://doi.org/10.1007/s11831-025-10406-5 (SCI Expanded)
   
3. Sanabam Bineshwor Singh, Anuradha Laishram, Khelchandra Thongam, Khumanthem Manglem Singh “Automatic Detection and Classification of Dental Anomalies and Tooth Types using Transformer-Based Yolo with GA Optimization”, IEEE Access, March 2025, DOI: 10.1109/ACCESS.2025.3556523 (SCI Expanded)
   
4. Singh, Sanabam & Laishram, Anuradha & Thongam, Khelchandra & Singh, Khumanthem, “A Random Forest-based Automatic Classification of Dental Types and Pathologies using Panoramic Radiography Images”, Journal of Scientific & Industrial Research. 83. 2024. 10.56042/jsir.v83i5.3994. (SCI Expanded)
5. M. Sheetal Singh, Khelchandra Thongam, Prakash Choudhary and P.K. Bhagat “An Integrated Machine Learning Approach for Congestive Heart Failure Prediction”, Diagnostics 2024, 14, 736, https://doi.org/10.3390/diagnostics14070736 (SCI Expanded)
6. Singh, S. A., Devi, N D., Nelson, Kh., Reddy, B., Thongam, K., & Majumder, S. An ensemble-based transfer learning model for predicting the imbalance heart sound signal using spectrogram images, Multimedia Tools and Applications, SPRINGER, https://doi.org/10.1007/s11042-023-17186-9 (SCI Expanded)
7. Maibam Mangalleibi Chanu, Ngangbam Herojit Singh, Khelchandra Thongam, An Automated Epileptic Seizure Detection using Optimized Neural Network from EEG Signals, Expert Systems, Wiley, https://doi.org/10.1111/exsy.13260, 2023 (SCI Expanded)
8. Anuradha Laishram and Khelchandra Thongam, A Deep Learning Approach based on Faster R-CNN for Automatic Detection and Classification of Teeth in Orthopantomogram Radiography Images, IETE Journal of Research, https://doi.org/10.1080/03772063.2022.2154283, 2022 (SCI Expanded)
9. Anuradha Laishram and Khelchandra Thongam, Kidney Diseases Classification based on SONN and MLP-GA in Ultrasound Radiography Images, Int. J. of Computational Science and Engineering, IJCSE, www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijcse (Scopus)
10. Ngangbam Herojit Singh, Anuradha Laishram and Khelchandra Thongam, Optimal Path Planning for Mobile Robot Navigation using FA-TPM in Cluttered Dynamic Environments, Procedia Computer Science, Elsevier, Volume 218, 2023, Pages 612 – 620 (Scopus)
11. A. Buboo Singh, Kh Manglem Singh, Y. Jina Chanu, Khelchandra Thongam, Kh Johnson Singh, "An Improved Image Spam Classification Model Based on Deep Learning Techniques", Security and Communication Networks, vol. 2022, Article ID 8905424, 11 pages, 2022, https://doi.org/10.1155/2022/8905424.
12. Anuradha Laishram and Khelchandra Thongam, Automatic Classification of Oral Pathologies using Orthopantomogram Radiography Images based on Convolutional Neural Network, International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), http://dx.doi.org/10.9781/ijimai.2021.10.009, October 2021 (SCI Expanded)
13. Wangkheirakpam Reema Devi, Sudipta Roy, Khelchandra Thongam, Chiranjiv Chingangbam, “DenseRes-Net: An architecture for gland segmentation”, SN Computer Science, Springer, 2023.
14. Wangkheirakpam Reema Devi, Sudipta Roy, Khelchandra Thongam, Chiranjiv Chingangbam, “MDCNet: A Multiple Dilated Convolution Network for Cell Nuclei Segmentation”, to International Journal of Recent Technology and Engineering, 2023
15. Wangkheirakpam Reema Devi, Sudipta Roy, Khelchandra Thongam, Chiranjiv Chingangbam, “MSDFN (Multi – Scale Dilated Fusion Network) for automatic instrument segmentation”,  International Journal of Intelligent Systems and Applications in Engineering, Vol. 10, Issue 4, 2022
16. Kharibam Jilenkumari Devi, Ayekpam Alice Devi, and Khelchandra Thongam. "Automatic Speaker Recognition using MFCC and Artificial Neural Network." International Journal of Innovative Technology and Exploring Engineering 9 (2019): 39-42. (Scopus).
17. Kharibam Jilenkumari Devi and Khelchandra Thongam, Automatic Speaker Recognition from Speech Signals using Self Organizing Feature Map and Hybrid Neural Networks, Microprocessors and Microsystems, Elsevier, https://doi.org/10.1016/j.micpro.2020.103264, 2020 (SCI)
18. Kharibam Jilenkumari Devi and Khelchandra Thongam, Automatic Speaker Recognition from Speech Signals using Bidirectional Long-Short-Term Memory Recurrent Neural Network, Computational Intelligence, 2020, https://doi.org/10.1111/coin.12278 (SCI Expanded)
19. Ngangbam Herojit Singh and Khelchandra Thongam, "Mobile Robot Navigation in Cluttered Environment Using Spider Monkey Optimization Algorithm" Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Springer, 2020, https://doi.org/10.1007/s40998-020-00320-w (SCI Expanded)
20. Kharibam Jilenkumari Devi and Khelchandra Thongam, Automatic Speaker Recognition with enhanced Swallow Swarm  Optimization and Ensemble Classification Model from Speech Signals, Journal of Ambient Intelligence and Humanized Computing, Springer, 2019,  https://doi.org/10.1007/s12652-019-01414-y (SCI Expanded)
21. Kharibam Jilenkumari Devi and Khelchandra Thongam, Automatic Speaker Recognition from Speech Signal Using Principal Component Analysis and Artificial Neural Network, Journal of Advanced Research in Dynamical and Control Systems, Volume 11, Issue 4, 2019, pp: 2451 – 2464 (Scopus)
22. Kharibam Jilenkumari Devi and Khelchandra Thongam, A Survey of Automatic Speaker Recognition System Using Artificial Neural Networks, Journal of Advanced Research in Dynamical and Control Systems, Volume 11, Issue 10, pp: 453 – 466, 2019 (Scopus)
23. Dalton  Meitei Thounaojam, Thongam Khelchandra, Kh. Joyshree Devi, Sudipta Roy and Kh. Manglem Singh, Color Histogram and modified Multi-layer Perceptron Neural Network based Video Shot Boundary Detection, International Arab Journal of Information Technology, Vol. 16, No. 6, 2019 (SCI Expanded)
24. Ngangbam Herojit Singh and Khelchandra Thongam, Neural Network Based Approaches for Mobile Robot Navigation in Static and Moving Obstacles Environments, Intelligent Service Robotics, Springer, Volume 12, Issue 1, January 2019, pp: 55 – 67, DOI: 10.1007/s11370-018-0260-2 (SCI Expanded)
25. Khundrakpam Johnson, Khelchandra Thongam and Tanmay Dey, Detection and Differentiation of Application Layer DDoS Attack from Flash Events using Fuzzy-GA Computation, IET Information Security, 2018, Volume 12, Issue 6, November 2018, pp: 502 – 512, DOI:  10.1049/iet-ifs.2017.0500 (SCI Expanded)
26. Jitu Sapam, Sudipta Roy and Khelchandra Thongam, “Motion Planning of Mobile Robot using Fuzzy-GA method along with Three Path Concept in Dynamic Environment”, Journal of Intelligent & Fuzzy Systems, IOS Press, Volume 35, Issue 2, 2018, pp: 1445 – 1457, DOI: 10.3233/JIFS-169686 (SCI Expanded)
27. Ngangbam Herojit Singh and Khelchandra Thongam, “Mobile Robot Navigation Using MLP-BP Approaches in Dynamic Environments”, Arabian Journal for Science and Engineering, Springer, Volume 43, Issue 12, 2018, pp: 8013 – 8028, https://doi.org/10.1007/s13369-018-3267-2 (SCI Expanded)
28. Ngangbam Herojit Singh and Khelchandra Thongam, Mobile Robot Navigation using Fuzzy Logic in Static Environment, Elsevier Procedia Computer Science, Volume 125, 2018, Pages 11 – 17, https://doi.org/10.1016/j.procs.2017.12.004 (Scopus)
29. Ngangbam Herojit Singh and Khelchandra Thongam, Mobile Robot Navigation using Fuzzy-GA approaches along with Three Path Concept, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Springer, Volume 43, Issue 2, June 2019, pp: 277 – 294, DOI: 10.1007/s40998-018-0112-2 (SCI Expanded)
30. Benjamin A Shimray, Kh. Manglem Singh, Thongam Khelchandra and R.K Mehta, A New MLP-GA-Fuzzy decision support system for hydro power plant site selection, Arabian Journal for Science and Engineering, Springer, Volume 43, pp: 6823 – 6835, 2018, DOI 10.1007/s13369-017-2885-4, 2017 (SCI Expanded)
31. Benjamin A. Shimray, Kh. Manglem Singh, Thongam Khelchandra, R.K. Mehta, Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach, Computational Intelligence and Neuroscience, vol. 2017, Article ID 4152140, 8 pages, 2017, doi:10.1155/2017/4152140 (SCI Expanded)
32. Khundrakpam Johnson Singh, Thongam Khelchandra, Tanmay De, Entropy-Based Application Layer DDos Attack Detection Using Artificial Neural Networks, Entropy, MDPI, Volume 18, Issue 10, October 2016. (SCI Expanded)
33. Dalton Meitei Thounaojam, Thongam Khelchandra, Kh. Manglem Singh, and Sudipta Roy, A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection, Computational Intelligence and Neuroscience, Volume 2016, Article ID 8469428, 1-11 (SCI Expanded)
34. Thongam Khelchandra, Jie Huang, Somen Debnath, “Path Planning of Mobile Robot with Neuro-Genetic-Fuzzy Technique in Static Environment”, International Journal of Hybrid Intelligent systems, IOS Press, Volume 11, Number 2, 2014, pp. 71 – 80 (ACM DL)
35. Thongam Khelchandra, Jie Huang, “ Robot Motion Planning with Neuro-Genetic-Fuzzy Approach in Dynamic Environment”, International Journal of Information Technology, Singapore Computer Society, Volume 21, Number 1, 2015

Conferences

1. T. Sylvia, Sanjay kumar Dubey, Khelchandra Thongam, Gurumayum Rishikanta Sharma “MetPhaFrac: Detection of Metacarpophalangeal Fractures using Mask R-CNN Inception v3: An AI-driven Approach”, 2nd International Conference on Sustainable Computing and Intelligent Systems (SCIS 2025) , at University of Canberra, Australia
2. T. Sylvia, Sanjay kumar Dubey, Khelchandra Thongam, Gurumayum Rishikanta Sharma     “Improving YOLO Performance for Automated Ankle Fracture Detection In Emergency Diagnostic Imaging”, 7th International Conference on Communication and Intelligent Systems (ICCIS 2025) BITS Pilani, K K Birla Goa Campus, India ,September 26-27, 2025, SPRINGER NATURE
3. T. Sylvia, Sanjay kumar Dubey, Khelchandra Thongam, Gurumayum Rishikanta Sharma “Optimizing Wrist Fracture Detection : The Efficacy of YOLOv11 in Medical Imaging”, 12th INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO'2025) (TRENDS AND FUTURE DIRECTIONS), Amity University, IEEE
4. Kshetrimayum Merina Devi, Khumanthem Manglem Singh, Thongam Khelchandra, Maibam Mangalleibi Chanu, Sanabam Bineshwor, “A holistic approach for the classification of unsegmented phonocardiogram signal using convolutional neural network”, AIP Conf. Proc. 3159, 020016 (2025), https://doi.org/10.1063/5.0247154
   
5. Takhellambam Sylvia, Sanjay Kumar Dubey, Khelchandra Thongam, “Analytical Approach Towards Radiological Image-based Fracture Assessment Using Artificial Intelligence, International Conference on Computing, Sciences and Communications (ICCSC), 2024, DOI: 10.1109/ICCSC62048.2024.10830419
   
6. Kharibam Jilenkumari Devi, Maibam Mangalleibi Chanu, Gunakar Challa, Shuma Adhikari, Khelchandra Thongam, “Identification of Insect Pests and Prediction of Pesticides using YOLOv4 Deploying onto UbiOps, AIP Conference Proceedings, 3159, 020020, 2025, https://doi.org/10.1063/5.0247101
   
7. Singh, M.S., Thongam, K., Choudhary, P. (2024). Congestive Heart Failure Prediction Using Artificial Intelligence. In: Swain, B.P., Dixit, U.S. (eds) Recent Advances in Electrical and Electronic Engineering. ICSTE 2023. Lecture Notes in Electrical Engineering, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-99-4713-3_34. (IEEE)
   
8. Maibam Mangalleibi Chanu, Kharibam Jilenkumari Devi and Khelchandra Thongam, “Detection of Alzheimers Disease from MRI Images using Multiclassifiers”, Second International Conference on Innovations in Electronics and Communication Systems (ICIECS-2022), November 2022, India
9. Wangkheirakpam Reema Devi, Sudipta Roy, Khelchandra Thongam, “Automatic Segmentation of Cell Nuclei Using VGG-Res-U-Net Architecture “, International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) (Springer), 28-30 January 2022, SVNIT Surat
   
10. Anuradha Laishram and Khelchandra Thongam, Detection and Classification of Dental Pathologies using Faster-RCNN in Orthopantomogram Radiography Images, 7^th International Conference on Signal Processing and Integrated Networks (SPIN 2020), 2020, February, Noida, India
11. M. Sheetal Singh, Prakash Choudhary, Khelchandra Thongam, A Comparative Analysis for Various Stroke Prediction Techniques, CVIP(2), 2019, pp: 98 – 106
12. Oinam Vivek Singh, Prakash Choudhary, Khelchandra Thongam, A Study on Deep Learning for Breast Cancer Detection in Histopathological Images, CVIP(2), 2019, pp: 36 - 48
13. Ngangbam Herojit Singh, Khelchandra Thongam, Improved Genetic Algorithm for Path Planning of Mobile Robot in Dynamic Environments, International Conference on Science and Innovative Engineering, 2017, 2^nd April 2017, Chennai, India
14. B. A. Shimray, K. M. Singh, T. Khelchandra and R. K. Mehta, "Optimal ranking of hydro power plant sites based on MLP-BP and fuzzy inference approach," 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), Bangkok,2017,pp.189-193.doi: 10.1109/IEMECON.(2017).8079586
15. Khelchandra Thongam, Jie Huang, Somen Debnath. Path Planning of Mobile Robot with Neuro-Fuzzy Technique. 12^th International Conference on Intelligent Systems Design and Applications (ISDA), 2012:149 – 154, Kochi, India
16. H. Li, K. Thongam, A. Saji, K. Tanno, J. Huang, Q. Zhao. Robot Position Identification by Visual and Sound Beacons. The 19th Intelligent System Symposium FAN 2009 Sept.17 - 18, 2009 Aizu Wakamatsu, Japan
17. Thongam Khelchandra, Jie Huang. Efficient Path Planning with Neuro-Genetic-Fuzzy Approach. International Conference on Automation, Robotics and Control Systems (ARCS-09), 2009 multi-conference (MULTICONF-09), July 13-16, 2009 Orlando, FL, USA
18. Thongam Khelchandra, Jie Huang. Neuro-Fuzzy Approach for Optimal Motion Planning of Mobile Robot. International Conference on Systemics, Cybernetics and Informatics ( ICSCI - 2009 ), January 07 – 10, 2009 Hyderabad, India
19. Thongam Khelchandra, Jie Huang. A recursive sampling based method for path planning. 2007 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2007), October 07 – 10, 2007 Montreal, Canada

Book Chapters

1. Ngangbam Herojit Singh, Salam Shuleenda Devi and Khelchandra Thongam, Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments, Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, pp 319-328, vol 1057, 2019, Springer, Singapore
2. Singh, Kh. N., Singh, S. A., Keisham, N., Thongam, K., & Majumder, S. Transfer Learning Based Arrhythmia Classification Using Electrocardiogram.  Book Title: Machine Learning Models and Architectures for Biomedical Signal Processing. (Elsevier Publisher), (Accepted on Sep 2023)

Patents Granted

1. Anuradha Laishram, Jayakumar L, Ngangbam Herojit Singh, Karunguzhi Veeramakali, Khelchandra Thongam, "Optimal Path Planning for Mobile Robot Navigation", German Utility Patent, 2023, Status: Granted, Date of Grant: 25-10-2023, Application No: 202023104093

2. Khelchandra Thongam, Anuradha Laishram, “A PROCESS FOR AUTOMATIC DETECTION AND CLASSIFICATION OF DENTAL TYPES AND ANOMALIES USING OPG IMAGES AND FASTER R-CNN” Application No: 202331035951 A, Date of filing: 24/05/2023, Publication Date: 16/06/2023

Educational Qualifications

Ph.D, Computer Science and Engineering, University of Aizu, Japan

M.Tech, Computer Science and Engineering, University of Aizu, Japan

B.Tech, Computer Science and Engineering, NERIST, India

Teaching

• Advanced Artificial Intelligence

• Machine Learning

• Operating System

• Compiler Design

• Object Oriented Programming

PhD Guided

i)

Name of Student: Ngangbam Herojit Singh

Title of the Thesis: Mobile Robot Navigation in Static and Dynamic Environments using Soft Computing Methods

Declaration: June 2018

ii)

Name of Student: Kharibam Jilenkumari Devi

Title of the Thesis: Automatic Speaker Recognition from Speech Signals using Optimized Neural Networks

Declaration: June 2020

iii)

Name of Student: Anuradha Laishram

Title of the Thesis: Automatic Classification of Kidney Diseases and Oral Types and Anomalies using Ultrasound Images and Orthopantomogram Radiography Images based on Hybrid Neural Networks and Deep Learning

Declaration: January 2022

iv)

Name of Student: Maibam Mangalleibi Chanu

Title of the Thesis: Automatic Detection of Brain Diseases from Electroencephalogram Signals and Magnetic Resonance Images using Optimized Neural Network and Deep Learning

Declaration: August 2022

v)

Name of Student: Wangkheirakpam Reema Devi 

Title of the Thesis: Deep Neural Network based Approaches for Nuclei and Gland Segmentation

Declaration: July 2025

vi)

Name of Student: Mangshitabam Sheetal Singh 

Title of the Thesis: Artificial Intelligence Approaches for the Early Prediction of Stroke and Congestive Heart Failure Using Hybrid Machine Learning Frameworks

Declaration: Thesis Submitted

Invited/Expert Talks Delivered

Sponsored Research and Consultancy Projects

Administrative Positions held/continuing

1. Dean(Academic Affairs)          July 2025 - Till Now

2. Assistant Registrar and DDO            July 2019 - Dec 2024

3. Associate Dean(Examinations)         Jan 2017 - Jan 2019

4. Controller of Examinations               Sept 2016 - Jan 2017

5. HoD, CSE Department                     Jan 2014 - Jan 2017