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

  Professional Memberships

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

  Publications

Journal Papers

1. Mundotiya, R.K., Kumar, S., Kumar, A., Chaudhary, U., Chauhan, S., Mishra, S., Gatla, P. and Singh, A.K., 2023. Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili, and Magahi. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(1), pp.1-20.
2. Kumar, A., Aljrees, T., Hsieh, S.Y., Singh, K.U., Singh, T., Raja, L., Samriya, J.K. and Mundotiya, R.K., 2023. A Hybrid Solution for Secure Privacy-Preserving Cloud Storage & Information Retrieval. Human-centric Computing and Information Sciences, 13.
3. Mundotiya, R.K., Mishra, S. and 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), pp.8739-8749.
4. Kumar, A., Mundotiya, R.K., Pratap, A. and 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), pp.6552-6563.
5. Mundotiya, R.K., Mehta, A., Baruah, R. and 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), pp.7324-7334.
6. Mundotiya, R.K., Mehta, A. and Baruah, R., 2022. Domain adaptation for pos tagging with contrastive monotonic chunk-wise attention. Neural Processing Letters, 54(4), pp.2901-2918.
7. Baruah, R., Mundotiya, R.K. and Singh, A.K., 2021. Low resource neural machine translation: Assamese to/from other indo-aryan (indic) languages. ACM Transactions on Asian and Low-Resource Language Information Processing, 21(1), pp.1-32.
8. Mundotiya, R.K., Singh, M.K., Kapur, R., Mishra, S. and Singh, A.K., 2021. Linguistic resources for bhojpuri, magahi, and maithili: Statistics about them, their similarity estimates, and baselines for three applications. ACM Transactions on Asian and Low-Resource Language Information Processing, 20(6), pp.1-37.
9. Mundotiya, R.K. and Yadav, N., 2021. Forward context-aware clickbait tweet identification system. International Journal of Ambient Computing and Intelligence (IJACI), 12(2), pp.21-32.
10. Yadav, N., Mundotiya, R.K. and 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.