Dipanwita Saha

Assistant Professor (M.Tech(Gold Medalist), Pursuing Ph.D (Registered))

Computer Science and Engineering

Teaching Experience :

4 Years

Research Experience :

3 Years

Research Interest:

Image Analysis, Computer Vision and Natural Language Processing

Teaching Interest:

Basic Computation & principles of programming Language, Operating System, Data Structures & algorithm, Database Management System, Artificial Intelligence, Design and Analysis of Algorithm, Machine Learning.

Research Publications in Conferences/Symposium

1.Published paper titled “Job Recommendation A Hybrid Approach Using Text Processing”

in Springer Human 2023 Symposium held at Techno India University in February 2023.

https://doi.org/10.1007/978-981-99-3478-2_8

2.Published Paper titled “Deep Learning Based Ensemble Model for Detection of Myocardial

Infarction from ECG data” in Springer COMSYS 2023 International conference held at IIT

Mandi in October 2023.https://doi.org/10.1007/978-981-97-2611-0_34

3.Published Book chapter titled “A Comprehensive Survey on Risk Factor Monitoring Using Deep Learning Methods on Electrocardiogram Data” for edited book “Deep-learning Learning Applications in Operations Research” publishing in TAYLOR & FRANCIS group CRC Press, Florida, USA[Scopus Indexed].https://doi.org/10.1201/9781032725444-2

4.Published the Abstract titled “Ecological Conservation and Biodiversity Assessment through Satellite Image Analysis” at the 7th Regional Science and Technology Congress 2024-25 (Region-3), at Rampurhat College, Rampurhat, West Bengal and in 32nd West Bengal State Science and Technology Congress, 2025 at Biswa Bangla Convention Centre under the discipline of Applications of Emerging Technologies including AI/ML in Sustainable Development in West Bengal State Science and Technology Congress 2024

2025.https://dstbt.bangla.gov.in/vigyanchetana/

5.Published Paper titled “A Novel Resample Integrated Ensemble Approach for Prediction of the Chronic Kidney Syndrome in Diabetic Patients” in International Conference on Sustainable Computing for Industry (ICSCI), 2025 at Brainware University.

Accepted Paper titled “A Deep Ensemble Species Distribution Model for Multilabel Species Prediction using Multimodal Data” in International Conference on Computational Intelligence in Communications and Business Analytics (CICBA),2025 conference in the Department of Information Technology at Jadavpur University.

  • Contributed speaker at the 13th International Conference on Numerical Optimization and Operations Research (ICNOOR-XIII) on 31st August to 1st September 2025 in Universitas Islam Indonesia.

Publications in Book Chapters

1.Book chapter titled “A Comprehensive Survey on Risk Factor Monitoring Using Deep Learning Methods on Electrocardiogram Data” for edited book “Deep-learning Learning Applications in Operations Research” publishing in TAYLOR & FRANCIS group CRC Press, Florida, USA. [Scopus Indexed].https://doi.org/10.1201/9781032725444-2

2. Book Chapter titled Impact of Twitter on Healthcare Industry Using Machine Learning and Deep Learning Approach – A Review accepted and added in “The Future of Twitter”, which will be published by Nova Science Publishers, NY, USA [Scopus Indexed].