BENGALURU — ISBR Business School announced the successful completion of the ISBR FPM Pre-Synopsis Presentation by doctoral scholar Mr. Gautam Kaistha (Batch 2021, FPM06-2021) on August 13, 2026. Enrolled in the Fellow Program in Management (FPM), Mr. Kaistha presented an impactful defense of his doctoral research, reaching a pivotal research juncture as he advances toward final thesis submission.
Overview of the ISBR FPM Pre-Synopsis Presentation
| Research Component | Details & Specifications |
| Doctoral Scholar | Mr. Gautam Kaistha (FPM06-2021 | Batch 2021) |
| Academic Program | Fellow Program in Management (FPM) |
| Presentation Date | August 13, 2026 |
| Institution | ISBR Business School, Bengaluru |
| Research Topic | “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 (Assistant Professor, ISBR Business School) |
| External Examiner | Dr. Ravindran K (Associate Professor & Deputy COE, Presidency College) |
Academic Evaluation & Advisory Committee Insights
The pre-synopsis defense involved a comprehensive review of the scholar’s theoretical framework, computational methodology, empirical datasets, and strategic implications for financial institutions:
- External Examiner Review: Dr. Ravindran K, Associate Professor & Deputy COE at Presidency College, served as External Examiner. He shared scholarly observations and constructive recommendations that added academic depth to the research.
- Research Advisory Committee (RAC): The presentation was reviewed by RAC members Dr. M. R. Jhansi Rani (Professor & Director – Research Centre, ISBR Business School) and Dr. Miral Jani (Assistant Professor, ISBR Business School). The panel offered valuable feedback to strengthen the quantitative modeling and analytical clarity.
- Research Mentorship: Guided by Dr. Anand Shankar Raja M, Assistant Professor at ISBR Business School, the ongoing study addresses critical credit risk management challenges within the Indian financial sector.
Research Focus: Machine Learning in Post-Disaster Banking & NPA Recovery
Mr. Gautam Kaistha’s doctoral study investigates modern data-driven solutions for complex banking challenges:
- Machine Learning Applications in Banking: The study applies advanced machine learning algorithms to evaluate post-disaster portfolio optimization and non-performing asset (NPA) recovery mechanisms.
- Policy & Risk Dynamics: It analyzes the interplay between adverse selection, interest rate policies, and credit risk mitigation during post-disaster recovery phases.
- Strategic Value for Financial Institutions: The findings offer actionable decision-support frameworks for Indian banking institutions and risk officers aiming to strengthen portfolio resilience.

Strengthening Research Excellence at ISBR
The successful delivery of this presentation highlights the scholar’s dedication to rigorous quantitative research and underscores the vibrant intellectual environment cultivated at the ISBR Research Centre. The constructive feedback received during the session will guide Mr. Gautam Kaistha as he refines his research framework for final synopsis submission.
ISBR Business School congratulates Mr. Gautam Kaistha on achieving this significant scholarly benchmark and wishes him continued success in the next stage of his FPM journey.
About ISBR Business School: ISBR Business School, located in Bangalore, India, is a premier institution dedicated to providing world-class education in business and management. Accredited by the NBA and recognized by the Association of Indian Universities and the Ministry of HRD, Government of India, ISBR has consistently been ranked as a platinum institute by AICTE-CII. With a diverse student body, a strong emphasis on industry collaboration, and a curriculum designed to foster innovation and leadership, ISBR Business School is committed to shaping the business leaders of tomorrow. The school’s robust placement record and partnerships with top global companies underscore its commitment to excellence and career readiness for its students
