Research Interest

• Natural Language Processing, Deep Learning, Information Retrieval, Speech Processing

  Academic Background

• Ph.D, Department of CSE, IIT(BHU) Varanasi (2016 - 2022)
• B.Tech-M.Tech, Centre for Converging Technologies, UoR Jaipur (2009 - 2015)

  Professional Experience

• Assistant Professor, IIT Bhilai, India (July 2023 - Present)
• Assistant Professor, UPES Dehradun, India (Feb. 2022 - Feb. 2023)

  Teaching

• DSL 605/DS 605: Deep Learning for Low Resource NLP
• DS 250: Data Analytics and Visualization
• DS 210: Data Analytics and Visualization Lab

  Projects:

• Exploring Health and Financial Impact Analysis of Medicinal Plants through Product Development and Scientific Validation in Remote Locations of Chhattisgarh: Bridging Tribal Indigenous Knowledge through Artificial Intelligence
  Status: Ongoing Agency: IBITF-IIT Bhilai Funding: 49.88 Lakhs INR Duration: 2025-2027 Role: PI
• Enhancing Chhattisgarhi Language: Corpus Development and Entity Recognition Framework
  Status: Ongoing Agency: RIG-IIT Bhilai Funding: 12 Lakhs INR Duration: 2024-2027 Role: PI

  Professional Memberships

• Institute of Electrical and Electronics Engineers (IEEE)
• Association for Computing Machinery (ACM)

  Publications

Journal Papers

1. Ahmad, I. A., Gatla, P., & Mundotiya, R. K. (2025). Sarcasm Identification and Classification in Hindi Newspaper Headlines. ACM Transactions on Asian and Low-Resource Language Information Processing. IF: 1.413, SCI
2. Mundotiya, R. K., Priya, J., Kuwarbi, D., & Singh, T. (2024). Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. IF: 3.6, SCI
3. Kumar, A., Aljrees, T., Hsieh, S. Y., Singh, K. U., Singh, T., Raja, L., ... & Mundotiya, R. K. (2023). A Hybrid Solution for Secure Privacy-Preserving Cloud Storage & Information Retrieval. Human-centric Computing and Information Sciences. IF: 6.558, SCI
4. Mundotiya, R. K., Mishra, S., & Singh, A. K. (2022). Hierarchical self attention based sequential labelling model for Bhojpuri, Maithili and Magahi languages. Journal of King Saud University - Computer and Information Sciences, 34(10), 8739-8749. IF: 13.473, SCI
5. Mundotiya, R. K., Mehta, A., & Baruah, R. (2022). Domain adaptation for pos tagging with contrastive monotonic chunk-wise attention. Neural Processing Letters, 54(4), 2901-2918. IF: 2.565, SCI
6. Kumar, A., Mundotiya, R. K., Pratap, A., & Singh, A. K. (2022). TLSPG: Transfer learning-based semi-supervised pseudo-corpus generation approach for zero-shot translation. Journal of King Saud University - Computer and Information Sciences, 34(9). IF: 13.473, SCI
7. Mundotiya, R. K., Mehta, A., Baruah, R., & Singh, A. K. (2022). Integration of morphological features and contextual weightage using monotonic chunk attention for part of speech tagging. Journal of King Saud University - Computer and Information Sciences, 34(9), 7324-7334. IF: 13.473, SCI
8. Mundotiya, R. K., Kumar, S., Kumar, A., Chaudhary, U. C., Chauhan, S., Mishra, S., ... & Singh, A. K. (2022). Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi. Transactions on Asian and Low-Resource Language Information Processing. IF: 1.413, SCI
9. Baruah, R., Mundotiya, R. K., & Singh, A. K. (2021). Low resource neural machine translation: Assamese to/from other Indo-Aryan (Indic) languages. Transactions on Asian and Low-Resource Language Information Processing, 21(1), 1-32. IF: 1.413, SCI
10. Mundotiya, R. K., & Yadav, N. (2021). Forward context-aware clickbait tweet identification system. International Journal of Ambient Computing and Intelligence (IJACI), 12(2), 21-32.
11. Yadav, N., Mundotiya, R. K., & Singh, A. K. (2021). Tag-based Personalized Collaborative Movie Recommender System. Journal of Information Assurance & Security, 16(1).

Conference/Workshop Papers

1. Mundotiya, R.K., Gatla, P., Kanwar, N. and Singh, A.K., 2023. Deep Learning-Based Similar Languages' POS Tagging: Experiments on Bhojpuri, Maithili, and Magahi. In Soft Computing: Theories and Applications: Proceedings of SoCTA 2022 (pp. 845-855). Singapore: Springer Nature Singapore.
2. Yadav, N., Mundotiya, R.K., Singh, A.K. and Pal, S., 2021. Diversity in recommendation system: A cluster based approach. In Hybrid Intelligent Systems: 19th International Conference on Hybrid Intelligent Systems (HIS 2019) held in Bhopal, India, December 10-12, 2019 19 (pp. 113-122). Springer International Publishing.
3. Baruah, R. and Mundotiya, R.K., 2020, December. NLPRL Odia-English: Indic language neural machine translation system. In Proceedings of the 7th Workshop on Asian Translation (pp. 118-121).
4. Kumar, A., Mundotiya, R.K. and Singh, A.K., 2020, December. Unsupervised approach for zero-shot experiments: Bhojpuri–Hindi and Magahi–Hindi@ LoResMT 2020. In Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages (pp. 43-46).
5. Kumar, A., Baruah, R., Mundotiya, R.K. and Singh, A.K., 2020, November. Transformer-based neural machine translation system for Hindi–Marathi: WMT20 shared task. In Proceedings of the Fifth Conference on Machine Translation (pp. 393-395).
6. Baruah, R., Mundotiya, R.K., Kumar, A. and Singh, A.K., 2020, November. NLPRL system for very low resource supervised machine translation. In Proceedings of the Fifth Conference on Machine Translation (pp. 1075-1078).
7. Mundotiya, R.K., Baruah, R., Srivastava, B. and Singh, A.K., 2020, November. Nlprl at wnut-2020 task 2: Elmo-based system for identification of covid-19 tweets. In Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020) (pp. 419-422).
8. Mundotiya, R.K., Kumar, V., Mehta, A. and Singh, A.K., 2020, October. Attention-based domain adaption using transfer learning for part-of-speech tagging: an experiment on the Hindi language. In Proceedings of the 34th Pacific Asia conference on language, information and computation (pp. 471-477).
9. Kanwar, N., Agarwal, M. and Mundotiya, R.K., 2020. PITS@ Dravidian-CodeMix-FIRE2020: Traditional Approach to Noisy Code-Mixed Sentiment Analysis. In FIRE (Working Notes) (pp. 541-547).
10. Saroj, A., Mundotiya, R.K. and Pal, S., 2019, December. IRLab@ IITBHU at HASOC 2019: Traditional Machine Learning for Hate Speech and Offensive Content Identification. In FIRE (Working Notes) (pp. 308-314).
11. Kanwar, N., Mundotiya, R.K., Agarwal, M. and Singh, C., 2019. Emotion based voted classifier for Arabic irony tweet identification. In FIRE (Working Notes) (pp. 426-432).
12. Saroj, A., Mundotiya, R.K. and Pal, S., 2018, December. Rule based Event Extraction System from Newswires and Social Media Text in Indian Languages (EventXtract-IL) for English and Hindi Data. In FIRE (Working Notes) (pp. 302-307).
13. Sudhakar, A., Mundotiya, R.K. and Singh, A.K., 2018, March. Experiments on Deep Morphological Inflection. In International Conference on Computational Linguistics and Intelligent Text Processing (pp. 382-398). Cham: Springer Nature Switzerland.
14. Mundotiya, R.K., Singh, M.K. and Singh, A.K., 2018. NLPRL@ INLI-2018: Hybrid gated LSTM-CNN model for Indian Native Language Identification. In FIRE (Working Notes) (pp. 95-101).
15. Mishra, A., Mundotiya, R.K. and Pal, S., 2018. IIT (BHU)@ IECSIL-FIRE2018: Language Independent Automatic Framework for Entity Extraction in Indian Languages. In FIRE (Working Notes) (pp. 145-152).
16. Singh, A.K., Thawani, A., Gupta, A. and Mundotiya, R.K., 2017. Evaluating opinion summarization in ranking. In Information Retrieval Technology: 13th Asia Information Retrieval Societies Conference, AIRS 2017, Jeju Island, South Korea, November 22-24, 2017, Proceedings 13 (pp. 222-234). Springer International Publishing.