Ph.D.: NIT Mizoram, 2023,
PG: M.Tech CSE, NIT Agartala, 2015
UG: BE CSE, NIT Agartala, 2010
Teaching Experience: 10 years 3 months
Research Experience: 7 years 9 months
Contact Number: 8974890617
BVRITN Employee ID: BVRIT01243
JNTUH Registration ID: 9798-250519-222716
AICTE Registration ID:
- Deep Learning and Machine 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
- Bhupesh Deka, Dipwanita Debnath, G Shyama Chandra Prasad3, Vanam Gopinath, Pavan Kumar Varma Kothapalli, Ramireddy Navatejareddy, Sayanti Chatterjee.” Bio-inspired Dual-scale Attention Fusion Network for Explainable Cardiovascular Risk Profiling via Fundus Imaging”, International Journal of Intelligent Engineering & Systems,19, No.8, 2026, June 13, 2026, DOI: 10.22266/ijies2026.0831.21
- Sayanti Chatterjee, Archana Kalidindi, S. Rao Chintalapudi, Dipanwita Debnath, Sasmita Tripathy, Srikanth Lukka, Jajala Nikitha, and Bhupesh Deka. “Transformer Based Explainable AI framework: A Case Study on Colorectal Cancer Diagnosis.” International Journal of Intelligent Engineering & Systems 19, no. 5 (2026): 404.
- Aik Janbhasha, Venkateswarlu Sunkari, Dipanwita Debnath, Venkat Rao Pasupuleti, Aketi Naresh, Lakshmanarao Talapakula, Jutu Gopaiah, Rohtih Bala Jaswanth B8 Integrating Adversarial Autoencoders With Gated Recurrent Units To Identify Anomalies In Ecg Signals, Journal of Theoretical and Applied Information Technology, 15th March 2026. Vol.104. No.5, ISSN: 1992-8645, E-ISSN: 1817-3195.
- Sayanti Chatterjee, Bhupesh Deka, Dipanwita Debnath, Sasmita Tripathy, and Bindu 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 7, no. 1 (2025): 231-242.
- Ranjita Das, 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.
- 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]
- 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]
- 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]
- Cherukuvada, Srikanth, Dipanwita Debnath, Sachin Mahesh Nalluri, Jethin Pokala, and Hansika Sudula. “Ensemble Deep Learning Framework for Automated Diabetic Retinopathy Detection using EfficientNet Models.” In 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), pp. 1-6. IEEE, 2026.
- Debnath, Dipanwita, Amika Achom, Ranjita Das, Partha Pakray, and Sandeep Kumar Dash. “Optimization-Driven Text Summarization for Legal Documents: A.” In Proceedings of International Conference on Data, Electronics and Computing: ICDEC 2023, Volume 1, vol. 1102, p. 143. Springer Nature, 2025.
- Awasthi, Ganesh Kamalnarayan, Dipanwita Debnath, Roshna Ravindran, Srikanth Cherukuvada, and J. Raja. “Towards Digital Forensics 4.0: A Multilevel Digital Forensics Framework for Internet of Things (IoT) Devices.” In International Conference on Microelectronics, Electromagnetics and Telecommunication, pp. 579-593. Cham: Springer Nature Switzerland, 2025.
- Ch N. Narasimha Rao, Dipanwita Debnath, Gaurav Gautam, and Allam Balaram. “Improved Energy Efficiency and Power Quality Monitoring in Smart Grid using Signal Processing Techniques.” (2024).
- L. M. Prasad, Venkateswarlu Sunkari, and Dipanwita Debnath. “Detection of Crop Yield Prediction Using Multi Sensor Fusion Approach with Resolution Satellite Approach Using Deep Learning with Computer Vision.” (2024).
- 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.
- 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.
- 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, 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.
- Debnath, Dipanwita, Partha Pakray, and Alexander Gelbukh. “An Abstractive Text Summarization using Recurrent Neural Network”, CICLING
- Deep Learning, 12 week and Nov-2025 and Silver
- Introduction to Machine Learning, 8 week and Oct-2025 and Elite
- NASSCOM AI Intelligent Systems Faculty Development Program (FDP) – Phase I, Duration: 12 Days, Dates: 10 June 2026 – 23 June 2026, Organized by: NASSCOM