Yogesh Kumar Jain
Professor, Shool of Commerce & Management Sciences · Sandip University
Research Interests
Finance and Economics
Biography
About me: I am a firm believer in active learning, and I always try to maintain a very lively and interactive classroom. To me, teaching is not about lecturing to students; it is about presenting theories, concepts, and empirical material to students in a way that they can integrate this information into their own life experience. I try to accomplish this not only in my presentations and lectures, but in the questions that structure classroom discussion and, particularly, in writing assignments . Academic leadership: Contribution in designing & implementing new courses, Postgraduate & Undergraduate degree programs & certificate programs, developing innovative pedagogies, enhancing research, leading quality improvement etc. Administrative leadership: Contribution in developing and implementing policies related to admissions, placement, faculty recruitment, budgeting, managing and developing faculty & staff etc.
Education
PH.D. (BUSINESS ADMINISTRATION) University College of Commerce & Management Studies, Mohan Lal Sukhadia state public University MASTER OF COMMERCE-BANKING & ECONOMICS University College of Commerce & Management Studies, Mohan Lal Sukhadia University MASTER OF COMMERCE-BUSINESS ADMINISTRATION Bhupal Nobles College, Mohan Lal Sukhadia University MASTER OF BUSINESS ADMINISTRATION-FINANCE AS A MAJOR SPECIALIZATION School of Business, Jaipur National University MASTER OF BUSINESS ADMINISTRATION-MARKETING AS MAJOR SPECIALIZATION SSGMCE, Shegaon, SGB Amravati University BACHELOR OF EDUCATION ( B.ED.)...
Recent Google Scholar Publications
- 6G conditioned spatiotemporal graph neural networks for real time traffic flow prediction
- Enhanced Predictive Modeling for Financial Risk Assessment using Hybrid AI (ML & DL) on Structured and Unstructured Data
- The Existing Financial Risk Assessment: Knowledge Gaps and Methodologies: Special reference to Financial Sector
- Topological Deep Learning for Hierarchical Asset Manifold Embedding in Non-Euclidean Financial Market
- Deep Unrolled Optimization Networks for Solving High-Dimensional Inverse Problems in Risk-Sensitive Portfolio Engineering
Links
- ORCID https://orcid.org/0000-0002-9459-4131
- Google Scholar https://scholar.google.com/citations?user=RGodpUMAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None