Dipanwita Saha

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

Computer Science and Engineering

Teaching Experience :

2 Years

Research Experience :

2 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. Saha, Dipanwita, Dinabandhu Bhandari, and Gunjan Mukherjee. “Job Recommendation a Hybrid Approach Using Text Processing.” Doctoral Symposium on Human Centered Computing. Singapore: Springer Nature Singapore, 2023.  https://doi.org/10.1007/978-981-99-3478-2_8

Dipanwita Saha was the Presenter at Human 2023 symposium for acceptance of paper titled Job Recommendation a Hybrid Approach Using Text Processing.

2.Saha, Dipanwita, et al. “Deep Learning-Based Ensemble Model for Detection of Myocardial Infarction from ECG Data.” International Conference on Frontiers in Computing and Systems. Singapore: Springer Nature Singapore, 2023. https://doi.org/10.1007/978-981-97-2611-0_34

Dipanwita Saha was the Presenter at COMSYS 2023 conference for acceptance of paper titled Deep Learning Based Ensemble Model for Detection of Myocardial Infarction from ECG data.

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].