Sandeep Bisht

Graphic Era University, Government of India

Papers

Total Citations

H-Index

About

Sandeep Bisht is a forward-thinking researcher whose work bridges the transformative potential of artificial intelligence in finance with cutting-edge computer vision techniques. His primary research areas include AI-driven banking innovation and robust visual tracking systems. Bisht’s most notable contribution, “The Revolutionary Transformation of India's Banking Industry through Artificial Intelligence” (2023), has garnered 4 citations, highlighting his ability to articulate how AI reshapes traditional banking into a dynamic, tech-enabled ecosystem—moving beyond brick-and-mortar models to intelligent, data-driven services. This work underscores his impact on understanding AI’s untapped potential in economic sectors. Additionally, his paper “Robust Visual Tracking with Occlusion Handling Using Gaussian Mixture Modeling” (2021, 2 citations) demonstrates technical depth in computer vision, addressing real-world challenges like occlusion in tracking algorithms. Together, these contributions showcase Bisht’s versatility: from analyzing industry-wide AI adoption to solving granular algorithmic problems. His research offers valuable insights for students and professionals exploring the intersection of AI, finance, and visual computing, marking him as a researcher attuned to both theoretical rigor and practical, industry-relevant applications.