Introduction

Dr. Sunita Warjri did her Ph.D. from the Department of Information Technology, North-Eastern Hill University. Currently, she is working as an Assistant Professor in IIIT Manipur. Earlier, she worked as a Postdoctoral Research Scientist at the University of South Bohemia, Czech Republic, where she was engaged in researching various advanced applications of Image Processing, Computer Vision, Machine Learning, and AI for research in aquaculture and biodiversity. She worked as an Assistant Professor at MIT-World Peace University Pune and GITAM University Bengaluru. She also worked as Women Scientist-B (PI) under the DST-funded NLP project on the Khasi language. Her areas of interest are Natural Language Processing, AI/ML, Image Processing, Data Analysis, Corpus Development, and so on.

Qualification

  • Ph.D. from Department of Information Technology, North-Eastern Hill University (2022)
  • M.Tech. Department of Information Technology, North-Eastern Hill University (2016)
  • B.Tech. Department of Information Technology, North-Eastern Hill University (2014)

Experience

  • Assisatnt Professor — IIIT Manipur, India (2025–Present). Academic, research and Administrative responsibility.
  • Postdoc/Research Scientist — University of South Bohemia in České Budějovice, Czech Republic(2024–2025). Research.
  • Assistant Professor — MIT-WPU, Pune, India(2023–2024). Academic, and research responsibilities
  • Assistant Professor — GITAM University, Bangalore India(2022–2023). Academic,and research responsibilities

Publications

  1. Probing a pretrained roberta on khasi language for pos tagging, A. Mitri, E. Lyngdoh, Sunita Warjri, G. Saha, S. Lyngdoh, A. Maji, Natural Language Engineering (2023).
  2. Identification of pos tags for the khasi language based on brill’s transformation rule-based tagger, Sunita Warjri, P. Pakray, A. K. Maji, Computación y Sistemas 28(2), 989–1005 (2022).
  3. Identification of pos tag for khasi language based on hidden markov model pos tagger, Sunita Warjri, P. Pakray, S. Lyngdoh, A. K. Maji, Computación y Sistemas 23(3), 795–802 (2019).
  4. Khasi language as dominant part-of-speech (pos) ascendant in nlp, Sunita Warjri, P. Pakray, S. Lyngdoh, A. K. Maji, International Journal of Computational Intelligence & IoT 1(1), 109–115 (2018).
  5. Part-of-speech (pos) tagging using conditional random field (crf) model for khasi corpora, Sunita Warjri, P. Pakray, S. A. Lyngdoh, A. K. Maji, International Journal of Speech Technology, 853–864 (2021a).
  6. Part-of-speech (pos) tagging using deep learning-based approaches on the designed khasi pos corpus, Sunita Warjri, P. Pakray, S. A. Lyngdoh, A. K. Maji, ACM Transactions on Asian and Low-Resource Language Information Processing 21(3), 1–24 (2021b).
  7. Simple neural network for identifying fruit and leaf disease in apple and mango, G. Dwivedi, J. H. Nongkynrih, Sunita Warjri, in Applied Intelligence and Computing, SCRS (2024): 81–90.
  8. 2D/3D liver segmentation from CT datasets, G. Mourya, D. Bhatia, A. Handique, Sunita Warjri, A. War, S. Amir, in Advances in Communication, Devices and Networking (2018): 625–631. Springer.
  9. Fin damage evaluation using a convolutional neural network: A pilot study, S. Osei, A. Toxeitova, M. M. Ziaei, I. Koliada, Sunita Warjri, IWBBIO Spain 2025 (Accepted).
  10. Findings of the WMT 2023 shared task on low-resource Indic language translation, S. Pal, P. Pakray, S. R. Laskar, L. Laitonjam, V. Khenglawt, Sunita Warjri, … S. K. Dash, Proceedings of the 8th Conference on Machine Translation ACL (2023): 682–694.
  11. Extraction and analysis of expression from a captured face, I. Wahlang, Sunita Warjri, A. K. Maji, Proceedings of the International Conference on Computing and Communication Systems (2018): 357–366. Springer.
  12. Adopting conditional random field (crf) for khasi part-of-speech tagging (kpost), Sunita Warjri, P. Pakray, S. Lyngdoh, A. K. Maji, Proceedings of the International Conference on Computing and Communication Systems (2021): 75–84. Springer.
  13. Study and analysis of different face recognition techniques based on graph, Sunita Warjri, I. Wahlang, A. Maji, Proceedings of the International Conference on Computing and Communication Systems (2018): 347–356. Springer.
  14. Fake news detection using social media data for Khasi language, Sunita Warjri, P. Pakray, S. A. Lyngdoh, A. K. Maji, IEEE International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC 2023): 1–6.
  15. Investigating part-of-speech tagging in khasi using naïve bayes and support vector machine, Sunita Warjri, P. Pakray, S. A. Lyngdoh, A. K. Maji, ICICC 2022, Volume 3 (2022): 141–149. Springer.

Other (project, patent, Awards/ Achievement etc)

  1. Patent:
      (1). Warjri, S, Pakray, P., Maji, A. K., & Lyngdoh, S. A. (2022[a]). A system for developing part-of-speech (pos) tagging using deep learning-based approaches on khasi pos corpus. German Patents. Patent 202022105577.
      (2).Gufran, A., Ahmad, Salliah, S., & Sunita, Warjri. (2025). Machine learning based computing device for enhancing computer network safety. UK Patents. Design number: 6434627.
      (3).Gufran, A., Ahmad, Salliah, S., & Sunita, Warjri. (2025). AI Based Device for Enhancing Computer Network Safety. Indian Patent, Design No. : 455417-001
  2. Copyright: Warjri, S, Pakray, P., Maji, A. K., & Lyngdoh, S. A. (2022[b]). The khasi pos corpus. Copyright Office, Government Of India. Copyright no. L-131406/2023.
  3. Awarded as Women Scientists B- Achieved Project Fellowship under “the Government of India, Ministry of Science & Technology, Department of Science & Technology (DST), KIRAN Division, Technology Bhavan, New Delhi. Three(3) Years Project Grant (2019-2022): DST/WOS-B/2018/1216/ETD/Sunita(G)).