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Manipur Univ


Dr. Khwairakpam Amitab

Designation: Associate Professor

Specialization: Image processing, Computer Vision, Machine Learning

Contact:

Email: Khwairakpam.amitab[AT]manipuruniv.ac.in

Ph.D.(IT), M.E.(CSE), B.E. (CSE)

Faculty Details Faculty List

Name: Dr. Khwairakpam Amitab

Designation: Associate Professor

Department: Computer Science

Specialization: Image processing, Computer Vision, Machine Learning

Email: Khwairakpam.amitab[AT]manipuruniv.ac.in


 

Academic Qualifications

  1. Ph.D. in IT, Department of Information Technology, North-Eastern Hill University, Shillong.

  2. M.E. in CSE, Department of Computer Science & Engineering, Punjab Engineering College, Chandigarh.

  3. B.E. in CSE, Department of Computer Science & Engineering, Manipur Institute of Technology, Constituent College of Manipur University, Imphal.

Professional Experience

Associate Professor, Department of Computer Science, Manipur University (20th March 2026 – Present)

Assistant Professor, Department of Information Technology, North-Eastern Hill University (18th June 2012 – 18th March 2026; currently on lien)

Assistant Professor, Department of CSE/IT, Lovely Professional University (21st July 2011 – 10th March 2012)


 

Journal Publications:

  1. Ado, Moziihrii, Nongmaithem Kane, and Khwairakpam Amitab (2026). “A stacked ensemble machine learning technique for landslide susceptibility mapping in Meghalaya, India”. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1-26.

  2. Ado, M., & Amitab, K. (2025). “Hyper-parameter optimization for enhanced machine learning-based landslide susceptibility mapping”. Environmental Science and Pollution Research, 1-26.

  3. Saha, P., Amitab, K., & Nath, A. (2025). “Assessing CO2 Emission Trend and its Impact on Agricultural Crop Health using Machine Learning Technique”. Procedia Computer Science, 258, 1506-1516.

  4. Hujon, A. V., Singh, T. D., & Amitab, K. (2025). “Handling Gender Bias in Neural Machine Translation: A Focus on English-Khasi Language Pair”. Science and Technology Journal. 13(1), 194-206.

  5. Hujon, A. V., Singh, T. D., & Amitab, K. (2024). “Neural machine translation systems for English to Khasi: A case study of an Austroasiatic language”. Expert Systems with Applications, 238, 121813.

  6. Hujon, A. V., Singh, T. D., & Amitab, K. (2023). “Transfer learning based neural machine translation of english-khasi on low-resource settings”. Procedia Computer Science, 218, 1-8.

  7. Ado, M., Amitab, K., Maji, A. K., Jasińska, E., Gono, R., Leonowicz, Z., & Jasiński, M. (2022). “Landslide susceptibility mapping using machine learning: A literature survey”. Remote Sensing, 14(13), 3029.

  8. Hassan, S. M., Amitab, K., Jasinski, M., Leonowicz, Z., Jasinska, E., Novak, T., & Maji, A. K. (2022). “A survey on different plant diseases detection using machine learning techniques”. Electronics, 11(17), 2641.

  9. Khwairakpam Amitab, Lal Hmingliana, Amitabha Nath (2021). “Application of Machine Learning Techniques in Crop Disease Classification: A comprehensive review”, Science and Technology Journal, 9(1), 89-93.

  10. Passah, A., Amitab, K., & Kandar, D. (2021). SAR image despeckling using deep CNN. IET image processing, 15(6), 1285-1297.

  11. Lal Hmingliana, Amitabha Nath, Ch. Udaya Bhaskara Rao, Goutam Saha, Khwairakpam Amitab, Lalrempuia Sailo (2021). “Computational Technique for Interlinking of Dam Sites”, Science and Technology Journal, 9(2), 169-173.

  12. Daimary, D., Bora, M. B., Amitab, K., & Kandar, D. (2020). Brain tumor segmentation from MRI images using hybrid convolutional neural networks. Procedia Computer Science, 167, 2419-2428.

  13. Bora, M. B., Daimary, D., Amitab, K., & Kandar, D. (2020). Handwritten character recognition from images using CNN-ECOC. Procedia Computer Science, 167, 2403–2409.

  14. Khwairakpam, A., Kandar, D., & Paul, B. (2019). Noise reduction in synthetic aperture radar images using fuzzy logic and genetic algorithm. Microsystem Technologies, 25(5), 1743-1752.

  15. Amitab, K., Maji, A. K., & Kandar, D. (2018). Speckle noise filtering in SAR images using fuzzy logic and particle swarm optimization. Journal of Computational Methods in Sciences and Engineering, 18(4), 859–873.

  16. Medhi, K., Khwairakpam, A., Kumar, V. D., & Kandar, D. (2018). Noise Reduction in Synthetic Aperture Radar Images Using Convolutional Neural Network. Journal of Computational and Theoretical Nanoscience, 15(8), 2572-2576.


 

Publications in Book Chapter/Conference proceedings

  1. Ado, Moziihrii, Nongmaithem Kane, and Khwairakpam Amitab. “A novel stacking ensemble machine learning approach for landslide susceptibility mapping”. Emerging Trends and Future Directions in Artificial Intelligence, Machine Learning, and Internet of Things Innovations. CRC Press,149-153, 2026.

  2. Nonglamin, Ngamklet, and Khwairakpam Amitab. “Grading of Arecanuts using Machine Learning Techniques”. 2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT). IEEE, 2025.

  3. Rani, Khrawkupar, Ngamklet Nonglamin, and Khwairakpam Amitab. “A Machine Learning Approach for Classifying Broadleaf and Coniferous Forests in Meghalaya Using Multispectral Data”. 2025 World Conference on Cutting-Edge Science and Technology (WCCEST). IEEE, 2025.

  4. Hujon, Aiusha Vellintihun, Thoudam Doren Singh, and Khwairakpam Amitab. “Leveraging Reinforcement Learning for Enhanced English-Khasi NMT in Low Resource Settings”. International Conference on Information Systems and Management Science. Cham: Springer Nature Switzerland, 2025.

  5. Singha, A. L., & Amitab, K. “Liver Tumour Detection Using Machine Learning Techniques: A Systematic Review”. Deep Learning in Biomedical Signal and Medical Imaging, 73-84. CRC Press, 2024.

  6. Ado, M., & Amitab, K. “Landslide susceptibility mapping using support vector machine for Meghalaya, India”. In 2023 4th International Conference on Computing and Communication Systems (I3CS), 1-6. IEEE, 2023.

  7. Hujon, A. V., Amitab, K., & Singh, T. D. “Convolutional sequence to sequence learning for english-khasi neural machine translation”. In 2023 4th International Conference on Computing and Communication Systems (I3CS),1-4. IEEE, 2023.

  8. Kumar, R., & Amitab, K. “Semantic Segmentation of Road Scene Using Deep Learning”. In Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2021, 129-139, Springer, 2022.

  9. Khwairakpam, A., Hazarika, R. A., & Kandar, D. “Image segmentation by fuzzy edge detection and region growing technique”. In Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems: MCCS 2018, 51-64, Springer, 2019.

  10. Amitab, K., Medhi, K., Kandar, D., & Paul, B. S. “Impulse noise reduction in digital images using fuzzy logic and artificial neural network”. In Proceedings of the International Conference on Computing and Communication Systems: I3CS 2016,155-165, Springer, 2018.

  11. Medhi, K., Amitab, K., Kandar, D., & Paul, B. S. “Noise Reduction in Synthetic Aperture Radar Images Using Fuzzy and Self-Organizing Map”. In Advances in Communication, Devices and Networking: Proceedings of ICCDN 2017, 295-301, Springer, 2018.

  12. Bhattacharjee, D., Amitab, K., & Kandar, D. “Despeckling of SAR image based on fuzzy inference system”. In Information and Communication Technology for Sustainable Development: Proceedings of ICT4SD 2016, Vol. 2, 463-473, Springer, 2017.

  13. Amitab, K., Kandar, D., & Maji, A. K. “Comparative evaluation of radial basis function network transfer function for filtering speckle noise in synthetic aperture radar images”. In Emerging Research in Computing, Information, Communication and Applications: ERCICA 2015, Vol. 3, 243-252, Springer, 2016.

  14. Amitab, K., Kandar, D., & Maji, A. K. “Speckle Noise Filtering Using Back-Propagation Multi-Layer Perceptron Network in Synthetic Aperture Radar Image”. In Research Advances in the Integration of Big Data and Smart Computing, 280-301, IGI Global Scientific Publishing, 2016.

Research Projects:

  1. “Landslide Susceptibility Mapping and Monitoring using ML & IoT”, Role: Principal Investigator, Funding: SERB-DST, Status: Completed

  2. “Software Platform for Domestic Worker-Employer Connectivity”, Role: Co-Principal Investigator, Funding: DST, Status: Ongoing