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Faculty Directory Bijoyini Bagchi
Bijoyini Bagchi

Bijoyini Bagchi

Assistant Professor

[email protected]
Vidwan Profile

Academic Information

enrolled in PHD in UEM in 2024

Research Areas

1. Healthcare using Machine Learning (Clinical Decision Support Systems) 2. Secure and Privacy-Preserving IoT Framework for Remote Patient Monitoring 3. Edge AI-Based Anomaly Detection and Decision Making in IoT Systems

Research Interests

My research interests focus on applying Machine Learning in Healthcare, particularly in the design and development of Clinical Decision Support Systems (CDSS). I am interested in leveraging supervised and unsupervised learning, deep learning, and explainable AI techniques to support accurate diagnosis, risk prediction, treatment recommendation, and early disease detection using electronic health records, medical imaging, and real-time clinical data. Emphasis is placed on model interpretability, data privacy, bias mitigation, and ethical AI to ensure trustworthy, scalable, and clinician-centric decision support that improves patient outcomes and healthcare efficiency.

Courses Taught

Software Engineering , Cloud Computing and IOT , Data Analytics , Compiler Design

Positions Held

total 16 years experience in Academia including 2 years experience as Assistant Professor in IEM

Publications

1. Segmentation of Plant Leaf Diseases Using a ResNet-Based Algorithm (https://link.springer.com/chapter/10.1007/978-981-97-6806-6_10) 2. A Comparative Study on Procedural and Predictive Systems on Drowsiness Detection(https://ieeexplore.ieee.org/abstract/document/10423474) 3. Image segmentation and classification using unet techniques(https://iferp-in-docs.s3.ap-south-1.amazonaws.com/conf-proceedings/2023/44th-WCASET_Book.pdf)