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Manipur Univ


Dr. Kshetrimayum Nilakanta Singh

Designation: Guest Faculty

Specialization: Expert Systems

Contact: 8131046664

Email: nilakanta.kakching[AT]gmail.com

Ph.D. in Computer Science

Faculty Details Faculty List

Dr. Kshetrimayum Nilakanta Singh

Date of Birth: 04/08/1989

Email: nilakanta.kakching[AT]gmail.com |Phone: 8131046664

ORCID: 0000-0002-6827-2606 |

Address: Kakching Moirangthem Leikai, Kakching District, Manipur, India 795103

 

TEACHING & WORK EXPERIENCE

  1. Guest Faculty at

Department of Computer Science, Manipur University

JANUARY 2026­ – PRESENT

 

  1. Visiting Faculty at

Department of Vocational Studies and Skill Development, Manipur University

OCTOBER 2023 – DECEMBER 2025

 

  1. Junior Research Fellow – MeitY-funded Research Project,

e-Varaha: Information System for Safe Pork Production in North Eastern India.

Department of Computer Science, Manipur University

JANUARY 2017 – DECEMBER 2018

 

  1. Senior Technical Assistant,

NIELIT, Shillong

NOVEMBER 2015 – JUNE 2016

 

ACADEMIC QUALIFICATIONS

  1. Ph.D. in Computer Science,

Department of Computer Science, Manipur University

DECEMBER 2024

Cleared UGC-NET with JRF in NET-NOV-2017, UGC-NET in NET-DEC-2013 & NET-JUNE-2013


 

  1. Master of Computer Applications,

Department of Computer Science, Delhi University

2011 - 2014

Qualified for the degree of Master of Computer Applications with 67.66%.

 

  1. B.Sc.(H) Computer Science,

Hansraj College, Delhi University

2007 - 2011

Qualified for the degree of Master of Computer Applications with 52.95%.

 

RESEARCH INTEREST

  1. Deep Learning-based Time Series Forecasting

 

  1. Machine Learning based Recommender and Expert Systems.

 

  1. Deepfake Generation and Detection.

 

JOURNAL PUBLICATIONS

  1. Ksh Nilakanta, Khumukcham Robindro. (2025). LSANet: An Effective Multi-Step Short-Term Load Forecasting using LSTM and Self-Attention Mechansim.

—IEEE ACCESS (SCIE Indexed) [Impact Factor-3.4] Accepted

Doi: xx.xxxx/ACCESS.xxxxxxx

 

  1. Leishangthem Sashikumar, Ksh Nilakanta, Khumukcham Robindro, Nazrul Hoque, & Dhruba K Bhattacharyya. (2025). Deep Learning Approaches for Hydrological Forecasting: A Systematic Review. RIMNI, 41(4).

– International Journal of Numerical Methods for Calculation and Design in Engineering. (SCIE Indexed) [Impact Factor-0.3]

DOI: 10.23967/j.rimni.2025.012345

 

  1. Leishangthem Sashikumar, Ksh Nilakanta, Nazrul Hoque, & Khumukcham Robindro. (2025). An Integrated Machine Learning and Deep Learning Framework for River-Based Flood Early Warning System. IDRiM Journal, 15(1).

– Journal of Integrated Disaster Risk Management. (Scopus Indexed)

DOI: 15.10.5595/001c.134130

 

  1. Ksh Nilakanta, Khumukcham Robindro, and Nazrul Hoque. (2024). PConvLSTM: an effective parallel ConvLSTM-based model for short-term electricity load forecasting. Int J Data Sci Anal.

—International Journal of Data Science and Analytics (ESCI Indexed) [Impact Factor-3.4]

Doi: 10.1007/s41060-024-00616-8

  1. Ksh Nilakanta, Khumukcham Robindro, & Nazrul Hoque. (2024) A Multi-step Short-term Load Forecasting using Hybrid DNN and GAF. Indian Journal of Science and Technology. 17(11): 1016-1027.

–Indian Journal of Science and Technology (Web of Science)

DOI: 10.17485/IJST/v17i11.3246

 

  1. Khumukcham Robindro, Bisheshwar Khumukcham, Ksh Nilakanta. (2018). Determination of Optimal Number of Clusters in Cure Using Representative Points. IJCSE, 6(2)

— International Journal of Computer Sciences and Engineering.

DOI: 10.26438/ijcse/v6i2.313320

 

  1. Khumukcham Robindro, Ksh Nilakanta, Ashoke Das, and Deepen Naorem. (2017). Decision Support System for Rice Plant Disease Diagnosis using Naïve Bayes’ Algorithm. IJSRMS, 3(7): 23-27

—International Journal of Scientific Research in Multidisciplinary Studies.

 

  1. Khumukcham Robindro and Ksh Nilakanta. (2017). Rule-Based Inferencing System for Infertility Diagnosis in Women. IJAIA, 8(1): 01-13

— International Journal of Artificial Intelligence and Applications

DOI: 10.5121/ijaia.2017.8101

 

CONFERENCE PUBLICATIONS

  1. M. Surchand Singh, Khumukcham Robindro, Ksh Nilakanta, Joychandra N., Leishangthem Sashikumar, and M. Rajeshwar. (2025). In depth comparative analysis of the combine effect of ML models and feature selection methods in crop yield prediction.

– Emerging Trends and Future Directions in AI, ML, and IoT Innovations vol 1(40):230-234.

Publisher: CRC Press – Taylor & Francis | ISBN: 9781041146087

 

  1. Ksh. Dayvason Singh, Leishangthem Sashikumar Singh, Ksh Nilakanta, Joychandra N., and Khumukcham Robindro. (2025). Detection of diabetic retinopathy using deep-learning based image classification.

– Emerging Trends and Future Directions in AI, ML, and IoT Innovations vol 1(39):225-229.

Publisher: CRC Press – Taylor & Francis | ISBN: 9781041146087

  1. P. Sendash Singh, Ksh Nilakanta, Bishambhor Th, M. Surchand Singh, Joychandra N., and Khumukcham Robindro, and Nazrul Hoque. (2025). An Extended SMOTE-based class balancing technique to improve classification accuracy on imbalanced datasets.

– Emerging Trends and Future Directions in AI, ML, and IoT Innovations vol 1(37):213-217.

Publisher: CRC Press – Taylor & Francis | ISBN: 9781041146087

 

  1. Ksh Nilakanta, Khumukcham Robindro, and Nazrul Hoque. (2023). A Comparative Analysis of Deep Neural Network-Based Models for Short-Term Load Forecasting.

– International Conference on Communication, Electronics and Digital Technology. Lecture Notes in Networks and Systems, vol 676.

Publisher: Springer | DOI: 10.1007/978-981-99-1699-3_13

 

  1. Ksh Nilakanta and Khumukcham Robindro. (2021). A Review on Deep Learning Models for Short-Term Load Forecasting.

– Applications of Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering, vol 778.

Publisher: Springer | DOI: 10.1007/978-981-16-3067-5_53

 

  1. Khumukcham Robindro, Ksh Nilakanta, and Leishangthem Sashikumar. (2021). Machine Learning Model Based Expert System for Pig Disease Diagnosis.

– Recent Trends in Image Processing and Pattern Recognition.

Communications in Computer and Information Science, vol 1381.

Publisher: Springer | DOI: 10.1007/978-981-16-0493-5_27

 

  1. Ksh Nilakanta, Leishangthem Sashikumar, and Khumukcham Robindro. (2019). Machine Learning based Decision Support System for Post Mortem Inspection of Pig Health. 

– International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), pp. 296-300

Publisher: IEEE | DOI: 10.1109/ICCCIS48478.2019.8974509

 

  1. Khumukcham Robindro, Ksh Nilakanta, Deepen Naorem, N. G. Singh. (2017). An unsupervised content based news personalization using geolocation information. 

– International Conference on Computing, Communication and Automation (ICCCA), Greater Noida, pp. 128-132

Publisher: IEEE | DOI: 10.1109/CCAA.2017.8229785

 

WORKSHOPS & CONFERENCES ATTENDED

  1. International Conference on “North East India AI Summit: Unravelling Trends”, Manipur University, 10th -12th February 2025

  2. International Conference on “Communciation, Electronics & Digital Technology,” NIELIT New Delhi, 10th -11th Frbruary 2023

  3. Workshop on “High Performance Parallel Programming (H3P),” Manipur University, 14th -18th December 2022

  4. Workshop on “High Performance Computing,” Manipur University, 15th -16th July 2022

  5. International Conference on “Computing, Communication, and Intelligent Systems,” Shardha University Greater Noida, 18th -19th October 2019

  6. Workshop on “Artificial Intelligence and Machine Learning,” Guahati University, 27th -28th September 2019

  7. Workshop on “Application of Computer in Research,” Manipur University, 22nd December 2018

  8. Workshop on “Linux Device Driver,” IIIT Manipur, 27th -29th July 2018

  9. Workshop on “Data Analytics using R Programming,” Manipur University, 9th -11th April 2018

  10. Participated in the “105th Indian Science Congress” held at Manipur University, 16th -20th March 2018

  11. Workshop on “Deep Learning and Applications,” NIT Manipur, 12th -16th March 2018

  12. Workshop on “Inside a Publisher's Mind,” NIT Manipur, 3rd -4th July 2017

  13. Author Workshop org. by Springer Nature & NIT Manipur, 3rd July 2017

  14. International Conference on “Computing Communication and Automation,” Galgotias University, Uttar Pradesh, 5th -6th May 2017

  15. National Conference on “Innovations in Science and Technology”, MIT Imphal, 20th -21st March 2017

  16. 4th ISI Workshop on “Pattern Analysis and Applications,” CVPRU, ISI Kolkata at SMIT Sikkim, 6th -10th February 2017.

 

MEMBERSHIPS

  1. Member, IEEE (Active), Membership ID: 101247041

  2. Member, 105th Indian Science Congress 2018, Membership ID: SLM5349