Ph.D.: NIT Mizoram, 2023
PG: Mtech CSE, NIT Agartala, 2015
UG: BE CSE, NIT Agartala, 2010
Teaching Experience: 09 years
BVRITN Employee ID: BVRIT01243
- Machine Learning and Deep Learning
- Pattern Recognition
- Natural Language Processing
- The Institution of Engineers (India) – IEI, Member ID: AM1592214 (Lifetime)
- IAENG – Member ID: 144203 (Annual/Lifetime)
- Association for Computing Machinery (ACM) – Member ID: 7697772
- Best Paper Award, FICTA 2021
- Second Best System Award (Summary Generator), 3rd Joint Workshop on BIRNDL, SIGIR 2018, Ann Arbor, Michigan
- Das, Ranjita, Dipanwita Debnath, Partha Pakray, and Naga Chaitanya Kumar. “A binary grey wolf optimizer to solve the scientific document summarization problem.” Multimedia Tools and Applications (2023): 1-23. Q2
- Dipanwita Debnath, Ranjita Das, and Partha Pakray, ”Extractive single document summarization using multi-objective modified cat swarm optimization approach: ESDS-MCSO.” Neural Computing and Applications (2021): 1-16.(published) [Science Citation Index Expanded (SCIE) indexed journal with Impact Factor: 5.130] Q2
- Dipanwita Debnath, Ranjita Das, and Partha Pakray, ”Single document text Summarization addressed with a cat swarm optimization approach.” Applied Intelligence (2022): 1-20.(published) [Science Citation Index indexed journal with Impact Factor: 5.019] Q2
- Dipanwita Debnath, Ranjita Das, Partha Pakray, and Ruzina Laskar, ”Extractive single-document summarization using adaptive binary constrained multi-objective differential evaluation.” Innovations in Systems and Software Engineering (2022): 1-13.(published) [Clarivate Analytics Emerging Sources Citation Index (ESCI) and SCOPUS Indexed Journal] Q3
- S. Chatterjee, B. Deka, D. Debnath, S. Tripathy, and B. Agarwalla, “Robust Fault Detection Of A Hybrid Control System Using Derivative Free Estimator And Reinforcement Learning Method”, Journal of Electronics, Electromedical Engineering, and Medical Informatics, vol. 7, no. 1, pp. 231-242, Jan. 2025.
- Debnath, Dipanwita, Ranjita Das, and Partha Pakray. “Extractive Single Document Summarization Using an Archive-Based Micro Genetic-2.” 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2020.
- Debnath, Dipanwita, Ranjita Das, and Shaik Rafi. “Sentiment-Based Abstractive Text Summarization Using Attention Oriented LSTM Model.” Intelligent Data Engineering and Analytics. Springer, Singapore, 2022. 199-208.
- Debnath, Dipanwita, and Ranjita Das. “Automatic Citation Contextualization Based Scientific Document Summarization Using Multi-objective Differential Evolution.” International Conference on Emerging Applications of Information Technology. Springer, Singapore, 2021.
- Dipanwita Debnath, Amika Achom, and Partha Pakray. NLP-NITMZ@ CLScisumm-18. In: Proceedings of the 3nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL2018).SIGIR, Ann Arbour, Michigan.
- Debnath, Dipanwita, Partha Pakray, and Alexander Gelbukh. “An Abstractive Text Summarization using Recurrent Neural Network”, CICLING
- Debnath, Dipanwita, Suman Deb, and Nirmalya Kar. “An advanced image encryption standard providing dual security: Encryption using hill cipher & RGB image steganography.” 2015 International Conference on Computational Intelligence and Networks. IEEE, 2015.
- Dipanwita Debnath, Partha Pakray and Ranjita Das, Scientific Document Summarization using Citation Contextualization”, International Conference on Recent Trends on Electronics Computer Science (ICRTECS-2019) (ICRTECS). NIT Silchar, March-2019, (Accepted, Presented)
- V, Sumathi and Rao, Ch.N.Narasimha and Debnath, Dipanwita and Gautam, Gaurav and K, Dinesh and Balaram, Allam, Improved Energy Efficiency and Power Quality Monitoring in Smart Grid using Signal Processing Techniques (November 15, 2024). Available at Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering SSRN: https://ssrn.com/abstract=5086678 or http://dx.doi.org/10.2139/ssrn.5086678
- B, Mahendra Kumar and Prasad, M.L.M and Sunkari, Venkateswarlu and Debnath, Dipanwita and vineesha, Mamillapalli and M, Balaji, Detection of Crop Yield Prediction Using Multi Sensor Fusion Approach with Resolution Satellite Approach Using Deep Learning with Computer Vision (November 15, 2024). Available at SSRN: https://ssrn.com/abstract=5076170 or http://dx.doi.org/10.2139/ssrn.5076170
- Introduction to Machine Learning, 8 weeks, July-sept 2025(Elite)
- Deep Learning – IIT Ropar