Sainik Mahata

Journals

1.    Chakraborty, A., Mahata, S. K., Ganguly, R., & Mitra, M. (2026). Prediction and Analysis of High Power pcLED’s Useful Life Using Machine Learning Model: A ML Predictions with Physical Degradation Result. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 1-11. (SCIE Q2, Scopus)
2.    Dey, M., Mahata, S. K., Mondal, A., and Das, D. (2024). SETA- Extractive to Abstractive Summarization with a Similarity-Based Attentional Encoder-Decoder Model. ECTI-CIT Transactions, vol. 18, no. 3, pp. 319–328, Jun. 2024. 
3.    Mahata, S. K., Das, D., & Bandyopadhyay, S. (2024). Consensus-Based Machine Translation for Code-Mixed Texts. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(3), 1-11. 
4.    Dey, M., Mahata, S. K., & Das, D. (2023). Exploring Summarization of Scientific Tables: Analysing Data Preparation and Extractive to Abstractive Summary Generation. International Journal for Computers & Their Applications, 30(4). 
5.    Mahata, S. K., Garain, A., Das, D., & Bandyopadhyay, S. 2022. Simplification of English and Bengali Sentences for Improving Quality of Machine Translation, Neural Processing Letters, Springer, pp. 1-25
6.    Mahata, S. K., Das, D., & Bandyopadhyay, S. 2021. Investigating the roles of sentiment in machine translation. Machine Translation, Springer, pp.1-23.
7.    Mahata, S.K., Das, D. and Bandyopadhyay, S. 2019. Mtil2017: Machine translation using recurrent neural network on statistical machine translation. Journal of Intelligent Systems, 28(3), pp.447-453.
8.    Dey, N., Dey, M., Mahata, S.K., Das, A. and Chaudhuri, S.S. 2015. Tamper detection of electrocardiographic signal using watermarked bio–hash code in wireless cardiology. International Journal of Signal and Imaging Systems Engineering, 8(1-2), pp.46-58.

Conferences

1. Das, A., Singh, A. K., & Mahata, S. K. (2026, February). Sentiment Analysis Using Machine Learning: A Comprehensive Study. In 2026 9th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (Vol. 9, pp. 1-5). IEEE. (Scopus)
2. Ghosh, A., Paul, R., & Mahata, S. K. (2026, February). Multi-Modal Forensic Retrieval Framework Combining Semantic Clip Embeddings with Biometric Attribute Analysis for Suspect Identification. In 2026 9th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (Vol. 9, pp. 1-6). IEEE. (Scopus)
3. Shome, D., Sengupta, A., & Mahata, S. K. (2026, February). Decompose, Route, Retrieve: A Modular NLP Pipeline Implementing Multi-Hop Architecture for Answering Complex Questions Over Heterogeneous Sources. In 2026 9th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (Vol. 9, pp. 1-6). IEEE. (Scopus) 
4. Raha, S., Kumar, A., & Mahata, S. K. (2026, February). Dense Semantic Compression: A Low-Dimensional Siamese Architecture for Efficient Paraphrase Detection. In 2026 9th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (Vol. 9, pp. 1-6). IEEE. (Scopus)
5. Saha, T., Ghosh, R., Dutta, T., Sarkar, P., Saha, R., & Mahata, S. K. (2026, February). A Hybrid AI Framework Integrating Machine Learning and Large Language Models for Intelligent Crop Recommendation. In 2026 9th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (Vol. 9, pp. 1-6). IEEE. (Scopus)
6. Paul, A., Goswami, A., Mahata, S. K., & Das, D. (2025, December). Dynamics of Character Embeddings in Indian Mythology: A Physics-Informed Neural Networks Approach. In Proceedings of the 17th annual meeting of the Forum for Information Retrieval Evaluation (pp. 124-131). 
7. Sarkar, A., Sen, A., & Mahata, S. K. (2025, April). A Cascaded Speech-to-Speech Translation System for Bengali to English. In International Conference on Computational Intelligence, Data Science and Cloud Computing (pp. 325-335). Singapore: Springer Nature Singapore. (Scopus)
8. Suman, S., Sen, A., Mahata, S. K., Sarkar, D., Dey, M., & Chatterjee, K. (2026, February). Emotion Detection in Text Using BERT. In Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2025 (p. 351). Springer Nature.  (Scopus)
9. Chattopadhyay, A., Saha, A., Dey, A., Ghosh, G., & Mahata, S. K. (2025, January). Gen AI lens: Precision Diagnostics Through Interactive Segmentation and User centric Innovation in Medical Imaging. In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-6). IEEE. (Scopus)
10. Dam, M., Roy, S., Sarkar, D., & Mahata, S. K. (2025, January). Sentiment Analysis Using LSTM Model for Emotion Detection. In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-5). IEEE. (Scopus)
11. Jha, R., Ahuja, R., Mahata, S. K., Dey, M., & Das, D. (2024). Enhancing Accuracy in Indian Language Summarization. Working Notes of FIRE, 12-15.
12. Saha, D., Das, S., Maity, P., Mahata, S. K., & Das, D. (2024, December). Multimodal Approaches to Speech Emotion Recognition. In International Conference on Speech and Language Technologies for Low-resource Languages (pp. 348-366). Cham: Springer Nature Switzerland. (Scopus)
13. Maity, P., Saha, D., Das, S., Mahata, S. K., & Das, D. (2024). A Hybrid Approach to Sarcasm Detection in Dravidian Code-Mixed Texts. In Forum of Information Retrieval and Evaluation FIRE-2024.
14. Datta, S., Wilson, D. J., & Mahata, S. K. (2024, November). A Survey on Recent Advancements in Neural Machine Translation. In International Conference on Smart Systems and Wireless Communication (pp. 187-200). Singapore: Springer Nature Singapore. (Scopus)
15. Saha, D., Mondal, A., Mahata, S. K., Das, D., & Bandyopadhyay, S. (2024, July). Detecting Disfluencies—Overcoming Barriers to Effective Communication. In International Conference on Data Analytics and Insights (pp. 303-314). Singapore: Springer Nature Singapore.  (Scopus)
16. Chattopadhyay, U., Basu, A., & Mahata, S. K. (2024, July). Mood Capture Music Recommendation System. In International Conference on Data Analytics and Insights (pp. 213-225). Singapore: Springer Nature Singapore. (Scopus)
17. Sen, A., Sarkar, A., & Mahata, S. K. (2024, July). A Comparative Study of Cascade and End-to-End Speech Translation for Linguistic Diversity in India. In International Conference on Data Analytics and Insights (pp. 227-238). Singapore: Springer Nature Singapore. (Scopus)
18. Ghosh, S., Sharma, S., & Mahata, S. K. (2024, July). Enhancing Educational Feedback—A Paradigm Shift Through AI-Driven Chatbots. In International Conference on Data Analytics and Insights (pp. 431-443). Singapore: Springer Nature Singapore. (Scopus)
19. Chowdhury, S., Shaw, P., & Mahata, S. K. (2023, December). Design Evaluation and Uses of Paraphraser Content Generation. In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-6). IEEE. (Scopus)
20. Ghosh, D., Mazumder, A., & Mahata, S. K. (2023, December). Text summarization implementing abstractive and extractive methods. In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-6). IEEE. (Scopus)
21. Sarkar, D., Dey, M., Das, S., Bangal, S., Kar, A., Mahata, S. K., & Mondal, A. (2023, December). Exploring the Role of Automated Video Inspection and Recognition in Security Enhancement. In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-6). IEEE. (Scopus)
22. Paul, A., Mondal, A., Mahata, S., Seal, S., Sarkar, P., & Das, D. (2023, December). Mytho-Annotator: An Annotation tool for Indian Hindu Mythology. In Proceedings of the 20th International Conference on Natural Language Processing (ICON) (pp. 574-578).
23. Mahata, S., Saha, D., Das, D., & Bandyopadhyay, S. (2023, December). Transfer learning in low-resourced MT: An empirical study. In Proceedings of the 20th International Conference on Natural Language Processing (ICON) (pp. 646-650).
24. Mondal, A., Mahata, S. K., Dey, M., & Sarkar, D. (2023, September). Comparative Analysis of Financial Datasets Predictive Modeling Using Feature Extraction Methods. In International Conference on Entrepreneurship, Innovation, and Leadership (pp. 173-181). Singapore: Springer Nature Singapore. (Scopus) 
25. Mahata, S. K., Gupta, J., Kumari, K., Dey, M., Mondal, A., & Sarkar, D. (2024). Parallel Corpus Development Using Machine Translation Check for updates. Intelligent IT Solutions for Sustainability in Industry 5.0 Paradigm: Select Proceedings of ICEIL 2023, 1185, 11. (Scopus) 
26. Dey, M., Mondal, A., Mahata, S. K., & Sarkar, D. (2022, August). Breast Cancer Classification Using Deep Convolutional Neural Networks. In Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2021 (pp. 179-187). Singapore: Springer Nature Singapore.
27. Mondal, Anupam, Dey, Monalisa, Mahata, Sainik Kumar and Darothi Sarkar, 2021. "An Automatic Summarization System to Understand the Impact of COVID-19 on Education." In Applications of Machine Intelligence in Engineering, pp. 379-386. CRC Press, 2022.
28. Mahata, Sainik Kumar, Anupam Mondal, Monalisa Dey, and Darothi Sarkar, 2021. "Sentiment Analysis using Machine Translation." In Applications of Machine Intelligence in Engineering, pp. 371-377. CRC Press, 2022.
29. Mondal, A., Mahata, S., Dey, M., & Das, D., 2021. Classification of COVID19 tweets using Machine Learning Approaches. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 135-137).
30. Mahata, S., Das, D. and Bandyopadhyay, S., 2021. Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags. In Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages 2021 (EACL), April 19, 2021, pp. 28-35
31. Mahata, S., Das, D. and Bandyopadhyay, S., 2020. Performance Gain in Low Resource MT with Transfer Learning: An Analysis concerning Language Families. In FIRE 2020, Forum for Information Retrieval Evaluation, Virtual Event Hosted by IDRBT, Hyderabad, 16th-20th December, pp. 58-61
32. Mahata, S., Das, D. and Bandyopadhyay, S., 2020. JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags. In FIRE 2020, Forum for Information Retrieval Evaluation, Virtual Event Hosted by IDRBT, Hyderabad, 16th-20th December, pp. 490-494
33. Garain, A., Mahata, S. and Das, D., 2020, December. JUNLP at SemEval-2020 Task 9: Sentiment analysis of Hindi-English code-mixed data using grid search cross validation. In Proceedings of the Fourteenth Workshop on Semantic Evaluation (pp. 1276-1280).
34. Garain, A., Mahata, S. K. and Dutta, S., 2020, February. Normalization of Numeronyms using NLP Techniques. In 2020 IEEE Calcutta Conference (CALCON) (pp. 7-9). IEEE.
35. Mahata, S. K., Chandra, A., Das, D. and Bandyopadhyay, S., 2020. Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation. In International Conference on Big Data and Machine Learning, NIT Silchar, 2019, pp. 131-145
36. Raha, T., Mahata, S. K., Das, D. and Bandyopadhyay, S., 2020. Development of POS tagger for English-Bengali Code-Mixed data. In International Conference on Natural Language Processing, Hyderabad, 2019.
37. Mahata, S. K., Makhija, S., Agnihotri, A. and Das, D., 2020. Analysing Code-Switching Rules for English–Hindi Code-Mixed Text. In Emerging Technology in Modelling and Graphics (pp. 137-145). Springer, Singapore.
38. Garain, A., Mahata, S., 2019. Sentiment Analysis at {SEPLN} {(TASS)-2019:} Sentiment Analysis at Tweet Level Using Deep Learning. In Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, IberLEF@SEPLN 2019, Bilbao, Spain, September 24th, 2019, pp. 611-617.
39. Mahata, S., Garain, A., Rayala, A., Das, D. and Bandyopadhyay, S., 2019, August. JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) (pp. 283-286).
40. Mahata, S. K., Mandal, S., Das, D. and Bandyopadhyay, S., 2019, December. Code-Mixed to Monolingual Translation Framework. In Proceedings of the 11th Forum for Information Retrieval Evaluation (pp. 30-35).
41. Mahata, S., Das, D. and Bandyopadhyay, S., 2018, October. JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers (pp. 445-448).
42. Mandal, S., Mahata, S. K. and Das, D., 2018, May. Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages. In The 13th Workshop on Asian Language Resources (p. 57).
43. Mahata, S., Mandal, S., Das, D., & Bandyopadhyay, S. (2018, December). SMT vs NMT: A Comparison over Hindi and Bengali Simple Sentences. In Proceedings of the 15th International Conference on Natural Language Processing (pp. 175-182).
44. Mahata, S., Das, D. and Bandyopadhyay, S., 2017, August. Bucc2017: A hybrid approach for identifying parallel sentences in comparable corpora. In Proceedings of the 10th Workshop on Building and Using Comparable Corpora (pp. 56-59).
45. Mahata, S., Das, D. and Pal, S., 2016, August. Wmt2016: A hybrid approach to bilingual document alignment. In Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers (pp. 724-727).
46. Dey, M., Dey, N., Mahata, S. K., Das, A., Chaudhuri, S.S., 2014. Electrocardiogram Feature based Inter-human Biometric Authentication System. In 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies, Nagpur, Maharashtra, January, 2014, ISBN: 978-1-4799-2102-7, Proceedings available at IEEE XPLORE, Digital Library.