I actively research in qualitative and quantitative decision making, medical decision making, data aggregation and their applications in medical, fuzzy logic, and uncertainty modelling. I am working on developing tools and techniques for building efficient decision support system for health care development. In particular, I develop novel information fusion strategies by modeling interaction among data, analyze information measures to extract knowledge of uncertain data and use them in modelling physical system, solve medical decision problem when the knowledge is available in the form of fuzzy rules, design web-based medical diagnostic support system. I also analyzed the pattern of hierarchical data.
Principal Investigator
- An MCDM Approach to Aggregate Multi-modal Features and Multiple Prediction Models Tasks: An Application to DVH Prediction for the Benefit of Medical Treatment
- Development of A Machine Learning Based Data Driven
Predictive Model For Prostate Cancer Dosimetry
Co-Principal Investigator
- Pathology on a Spinning Disc MHRD-STARS
Ph. D. Students
Ankita Dutta
Area of Research: Modeling Cancer with Organoids
Chandrima Debnath
Area of Research: Machine learning in heathcare
Nimmalapalli Gowtham Reddy
Area of Research: Multi criteria decision making and its applications in health care
Pragya Gupta
Area of Research: Fuzzy Information Processing
Sanchita Mondal
Area of Research: Machine learning in medical decision making
Simran Malik
Area of Research: Infection Control
Soumita Guria
Area of Research: Multi Criteria Decision Aid