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Manipur Univ


Dr Khumukcham Robindro Singh

Designation: Assistant Professor (S-III) & Head i/c

Specialization: Artificial Intelligence, Expert System, Data Structures, Object Oriented Programming System

Contact:

Email: rbkh [AT] manipuruniv.ac.in

MCA (Manipur University), Ph.D.

Website: http://manipuruniv.ac.in/faculty/112

Faculty Details Faculty List

Dr. Khumukcham Robindro Singh received his Master’s degree in Computer Application from Manipur University, Imphal, in the year 2007 and was awarded his Ph.D. from Gauhati University, Guwahati, Assam, in the year 2013. With approximately 12 years of professional experience, he is currently serving as Assistant Professor and Head of the Department of Computer Science at Manipur University, Imphal - a Central University of India. Dr. Singh is also the Chairman of the e-Office Implementation Committee, where he is actively spearheading the university’s digital transformation initiatives. Additionally, he has frequently served on the College Inspection Team of the university and has been appointed as the Nodal Officer of the Ek Bharat Shreshtha Bharat (EBSB) Cell, Manipur University. A sought-after speaker, Dr. Singh has been invited by several departments within and outside the university to deliver expert talks on Artificial Intelligence and its applications. He has published around 15 research articles in reputed SCIE/Scopus-indexed international journals, over 15 papers in conference proceedings/book chapters. Under his guidance, 2 Ph.D. scholars have successfully completed their research, and he has mentored more than 30 MCA major project theses. Dr. Singh has completed a major research project in collaboration with IIT Guwahati and Tezpur University, funded by the Ministry of Electronics and Information Technology (MeitY), Government of India. He has also organized two National Workshops on High Performance Computing in collaboration with CDAC Pune and IIT Kharagpur, under the National Supercomputing Mission. He also organized an International Conference titled “North East India AI Summit: Unravelling Trends (NEIAIS 2025) with the financial support from North Eastern Council (NEC) Shillong, Government of India. He serves as a reviewer for several reputed international journals, and his primary research interests include Artificial Intelligence, Machine Learning, and Deep Learning.

Teaching Experience:

  1. Assistant Professor (Stage 3), Department of Computer Science, Manipur University, from November 2023 till date (Formerly Selection Grade)

  2. Assistant Professor (Stage 2), Department of Computer Science, Manipur University, from November 2018 to November 2023. (Formerly Senior Grade)

  3. Assistant Professor (Stage 1), Department of Computer Science, Manipur University, from November 2014 to November 2018.

  4. Guest Faculty, Department of Information Technology, Gauhati University for the year 2013.

Administrative Responsibilities Handled:

  1. Member, Board of Studies for PG, Department of Computer Science, Manipur University from 2015 to 2022 and 2022 to till date.

  2. Member, Board of Studies for UG, Department of Computer Science, Manipur University from 2022 to till date.

  3. Member, Board of Studies for PG, Department of Physics, Manipur University from 2023 to till date.

  4. Member, Committee for Course and Studies (CCS) from July 2022 to till date.

  5. Member, School Board, School of Mathematical & Physical Sciences, Manipur University from 2023 to till date.

  6. University Nominee, Governing Body of Thokchom Ibotombi Institute of Teacher Education & Training, Bishnupur, Manipur, for a period of three years with effect from 23rd November 2019, as per the office order dated 23rd November 2019.

  7. Member, Board of Studies for UG, Don Bosco College, Maram, Manipur from February 2021 to till date,

  8. Departmental Coordinator, Internal Quality Assurance Cell (IQAC), Manipur University from April 2022 to December 2024.

  9. University Nominee, IQAC Kakching Khunou College from February 2023 to till date.

  10. Centre Head, Computer Based Test (CBT) Exam for CUET-UG/PG and UGC NET 2025 at Manipur University.

  11. Member, Screening Committee, September 2019 for the recruitment to the posts of (1) Plumber (2) Scribe (3) Carpenter (4) Gestetner Operator (5) Pipe Fitter and (6) Multi-Tasking Staff.

  12. Head, Department of Computer Science for Three (03) years from 01-01-2025.

  13. Chairman, e-Office Implementation Committee, Manipur University for Two (02) years from January 2025.

  14. Nodal Officer, Ek Bharat Shreshtha Bharat (EBSB) Cell, Manipur University for Three (03) years from April 2025.

Invited Talks/Resource Person

  1. Dr. Khumukcham Robindro Singh was invited as an honourable speaker for a seminar on Artificial Intelligence for Youths: Exploring Opportunities, Mitigating Risks organized by Akashvani Imphal on 18th January 2025 at MIMS, Manipur University.

  2. Dr. Khumukcham Robindro Singh was requested to contribute to the XLIV State Level Students’ Science Seminar 2024 on the topic “Artificial Intelligence: Potentials & Concerns”, scheduled for 18th November 2024, with the national seminar to follow on 26th November 2024; he was also asked to submit questions by 6th November 2024.

  3. Dr. Khumukcham Robindro Singh was invited on December 15, 2022, to deliver an invited talk at the One Day Faculty Development Programme on “ICT in Teaching Learning Management” scheduled for December 17, 2022, at Shree Shree Gourgoobind Girls' College, Imphal East.

  4. Dr. Khumukcham Robindro Singh was invited on March 1, 2019, to attend the World Symposium on Artificial Intelligence in Governance and Disaster Management, scheduled from March 11 to 13, 2019, with the inaugural session on March 11 from 4 PM to 8 PM at Audi II, Convention Centre, Jawaharlal Nehru University.

  5. Dr. Khumukcham Robindro Singh was appointed as an external examiner for the Minor Project (B.Tech IT) on 18th March 2025 and Dissertation - Part I (M.Tech IT) on 19th March 2025, as per the letter issued by North-Eastern Hill University on 10th March 2025.

  6. Dr. Robindro Singh was invited on March 12, 2020, to serve as a Resource Person for the Winter School on Research Methodology at UGC-Human Resource Development Centre, Manipur University from March 16 to 28, 2020.

  7. Resource Person, Observance of National Press Day, organized by Directorate of Information and Public Relations (DIPR) held on 16/11/2023.

  8. Resource Person, 10-Day Research Methodology Course (RMC), organized by Indian Council of Social Science Research (ICSSR), New Delhi and Department of Education, Manipur University during 6-15 May, 2025.

Journal Publications:

  1. Sarma, S. K., Singh, K. R., & Singh, A. (2010). An Expert System for diagnosis of diseases in Rice Plant. International Journal of Artificial Intelligence, 1(1), 26-31.

  2. Khumukcham Robindro, Shikhar Kr. Sarma, Abhijeet Singh, L. Premchand. “Knowledge Acquisition Process of an Expert System for Rice Plant Disease Diagnosis.” International Research Journal of Computer Science Engineering and Applications. Volume 1, Issue 1 (2012): 66-70.

  3. Robindro, K., & Nilakanta, K. (2017). Rule-based inferencing system for infertility diagnosis in women. Int J Artif Intell Appl, 8(1), 1-13.

  4. Khumukcham Robindro, Ksh. Nilakanta, Ashoke Das, Deepen Naorem, "Decision Support System for Rice Plant Disease Diagnosis using Naïve Bayes’ Algorithm," International Journal of Scientific Research in Multidisciplinary Studies , Vol.3, Issue.7, pp.23-27, 2017

  5. Khumukcham Robindro, Ashoke Das, "Effectiveness Of Ssaha Algorithm For Searching Motif In Large Databases Of Dna Sequences," International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.4, pp.79-87, 2017

  6. Khumukcham Robindro, Bisheshwar Khumukcham, Ksh. Nilakanta Singh, "Determination of Optimal Number of Clusters in Cure Using Representative Points", International Journal of Computer Sciences and Engineering, Vol.6, Issue.2, pp.313-320, 2018.

  7. Robindro, K., Clinton, U. B., Hoque, N., & Bhattacharyya, D. K. (2023). JoMIC: A joint MI-based filter feature selection method. Journal of Computational Mathematics and Data Science, 6, 100075.

  8. Khumukcham RS, Mayanglambam D, Urikhimbam BC, Hoque N. (2023) MVI-DR: An Efficient Missing Value Imputation Method Using Decision Tree and Regression Analysis. Indian Journal of Science and Technology. 16(43): 3862-3874. https://doi.org/10.17485/IJST/v16i43.1864

  9. Singh, N. J., Hoque, N., Singh, K. R., & Bhattacharyya, D. K. (2024). Botnet‐based IoT network traffic analysis using deep learning. Security and Privacy, 7(2), e355.

  10. Khumukcham Robindro, Urikhimbam Boby Clinton, Linthoingambi Takhellambam, Yambem Ranjan Singh, Longjam Dhanapati Devis, Nazrul Hoque.. K-NN(DMTD): Distance of Mixed Type Data Classification using K-NN. January 2024 Science & Technology Journal 12(01):39-45. DOI: 10.22232/stj.2024.12.01.05

  11. Kshetrimayum, N., Singh, K. R., & Hoque, N. (2024). A Multi-step Short-term Load Forecasting using Hybrid DNN and GAF. Indian Journal of Science and Technology, 17(11), 1016-1027.

  12. Robindro, K., Devi, S. S., Clinton, U. B., Takhellambam, L., Singh, Y. R., & Hoque, N. (2024). Hybrid distributed feature selection using particle swarm optimization-mutual information. Data Science and Management, 7(1), 64-73.

  13. Clinton, U. B., Hoque, N., & Robindro Singh, K. (2024). Classification of DDoS attack traffic on SDN network environment using deep learning. Cybersecurity, 7(1), 23.

  14. Kshetrimayum, N., Singh, K. R., & Hoque, N. (2024). PConvLSTM: an effective parallel convLSTM-based model for short-term electricity load forecasting. International Journal of Data Science and Analytics, 1-18.

  15. Singh, L. S., Singh, K. N., Hoque, N., & Singh, K. R. (2025). An Integrated Machine Learning and Deep Learning Framework for River-Based Flood Early Warning System. IDRiM Journal, 15(1).

Book Chapter/Conference Publications:

  1. Robindro, K., & Sarma, S. K. (2013, January). JESS based expert system architecture for diagnosis of rice plant diseases: Design and prototype development. In 2013 4th International Conference on Intelligent Systems, Modelling and Simulation (pp. 674-676). IEEE.

  2. Robindro, K., Nilakanta, K., Naorem, D., & Singh, N. G. (2017, May). An unsupervised content based news personalization using geolocation information. In 2017 International Conference on Computing, Communication and Automation (ICCCA) (pp. 128-132). IEEE.

  3. Singh, K. N., Singh, L. S., & Singh, K. R. (2019, October). Machine Learning based Decision Support System for Post Mortem Inspection of Pig Health. In 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 296-300). IEEE.

  4. Singh, K. N., Devi, H. M., Robindro, K., & Mahanta, A. K. (2019, October). A systematic study on textual data processing in text mining. In 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 24-29). IEEE.

  5. Robindro, K., Singh, K. N., & Singh, L. S. (2020, January). Machine Learning Model Based Expert System for Pig Disease Diagnosis. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 302-312). Singapore: Springer Singapore.

  6. Nilakanta Singh, K., & Robindro Singh, K. (2021). A review on deep learning models for short-term load forecasting. Applications of Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2020, 705-721.

  7. Robindro, K., Singh, Y. R., Clinton, U. B., Takhellambam, L., & Hoque, N. (2022). CD-KNN: A Modified K-Nearest Neighbor Classifier with Dynamic K Value. In Applications of Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2021 (pp. 753-762). Singapore: Springer Nature Singapore.

  8. Kshetrimayum, N., Robindro Singh, K., & Hoque, N. (2023, February). A comparative analysis of deep neural network-based models for short-term load forecasting. In International Conference on Communication, Electronics and Digital Technology (pp. 195-214). Singapore: Springer Nature Singapore.

  9. Khumukcham, R. S., Takhellambam, L., Urikhimbam, B. C., Yambem, R., & Hoque, N. (2023, February). k-NN-SSc: An Effective Similarity Score for k-NN Classifier. In International Conference on Advanced Computational and Communication Paradigms (pp. 43-53). Singapore: Springer Nature Singapore.

  10. Clinton, U. B., Hoque, N., & Singh, K. R. (2023, July). Botnet-based IoT Network Attacks Identification using LSTM. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-10). IEEE.

  11. Takhellambam, L., Clinton, U. B., Singh, Y. R., Chandam, C., Singh, K. R., & Hoque, N. (2024, February). IoT Network Intrusion Detection Using Federated Learning. In NIELIT's International Conference on Communication, Electronics and Digital Technologies (pp. 325-339). Singapore: Springer Nature Singapore.

  12. Potsangbam, G., Hoque, N., & Singh, K. R. (2018, April). A Two-Level Hybrid CNN Model for IoT Network Attack Identification. In International Conference on Emerging Trends in Communication, Computing and Electronics (pp. 127-139). Singapore: Springer Nature Singapore.

  13. Singh, Y. R., Singh, C. C., Takhellambam, L., Singh, K. R., & Hoque, N. (2024, January). ML-Based Intrusion Detection with Feature Analysis on Unbalanced UNSW-NB15 Dataset. In International Conference on Communication, Devices and Networking (pp. 323-335). Singapore: Springer Nature Singapore.

  14. Singh, N. J., Hoque, N., Singh, K. R., & Bhattacharyya, D. K. (2024, June). Significance of Feature Selection on IoT-based Botnet Attacks Identification Using Machine Learning. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.

  15. Ksh. Dayvason Singh, Leishangthem Sashikumar Singh, Ksh. Nilakanta Singh, N. Joychandra Singh, Kh. Robindro Singh. Detection of Diabetic Retinopathy Using Deep-Learning Based Image Classification. In North East India AI Summit: Unravelling Trends (NEIAIS 2025)

 

Seminar/Conference and Workshop Organized

  1. One-Day Workshop on Outcome Based Learning for Introduction to Computing held on 09 January, 2016 in collaboration with IIT Guwahati.

  2. A Two-Day Workshop on High Performance Computing (HPC) during 14-15 July, 2022 in collaboration with IIT Kharagpur and CDAC Pune under the sponsorship of National Supercomputing Mission, Government of India.

  3. Five Days National Workshop on High Performance Parallel Programming during 14-18 December, 2022 under the sponsorship of National Supercomputing Mission, Government of India.

  4. A Three-Day International Conference on “North East India AI Summit: Unravelling Trends (NEIAIS 2025),” during 10-12 February 2025 with financial support from North Eastern Council (NEC) Shillong, Government of India.