BANGALORE, INDIA — ISBR Business School proudly announces the successful completion and official submission of the doctoral thesis by Mr. Gautam Kaistha (Registration No.: FPM06-2021), an accomplished scholar under the AICTE-Approved Fellow Programme in Management (FPM).
Specifically, his cutting-edge doctoral research—titled “Adverse Selection, Interest Rate Policy and NPA Recovery: A Machine Learning Approach to Post-Disaster Portfolio Optimization in Indian Banking”—investigates the application of advanced machine learning techniques to tackle adverse selection, interest rate policies, and Non-Performing Asset (NPA) recovery, with a primary focus on post-disaster portfolio optimization across the Indian banking sector.
Event Summary Table
| Parameter | Details |
| Scholar Name | Mr. Gautam Kaistha (Registration No.: FPM06-2021 | Batch 2021) |
| Program | AICTE-Approved Fellow Programme in Management (FPM) |
| Thesis Title | Adverse Selection, Interest Rate Policy and NPA Recovery: A Machine Learning Approach to Post-Disaster Portfolio Optimization in Indian Banking |
| Research Guide | Dr. Anand Shankar Raja M (Associate Professor, ISBR Business School) |
| RAC Members | Dr. M.R. Jhansi Rani (Professor & Director – Research Centre) & Dr. Miral Jani (Assistant Professor, ISBR Business School) |
| Institution | ISBR Business School, Bengaluru |
Rigorous Scholarship and Expert Mentorship
The successful thesis submission marks a major milestone in Mr. Gautam Kaistha’s academic journey, reflecting his sustained dedication, methodological rigor, and commitment to impactful scholarly inquiry.
Furthermore, the ISBR Research Centre formally acknowledged the exceptional faculty mentorship that guided the study. Specifically, the research progressed under the expert supervision of Research Guide Dr. Anand Shankar Raja M. (Associate Professor). In addition, constructive oversight and academic insights provided by Research Advisory Committee (RAC) members Dr. M.R. Jhansi Rani (Professor & Director – Research Centre) and Dr. Miral Jani (Assistant Professor) played an essential role in refining the analytical framework and empirical structure of the thesis.
Fostering a Robust Research Culture at ISBR
Because institutional progress depends on forward-thinking research, this milestone highlights the vibrant intellectual environment cultivated across ISBR Business School. As a result, faculty fellows and research scholars continue to produce high-impact studies addressing real-world challenges in financial economics and machine learning applications.
“Congratulations to Mr. Gautam Kaistha on this remarkable academic achievement!” stated the ISBR research community. “We wish him continued success and excellence in all his future academic and professional endeavors.”
