Kamal Gulati
Papers
2
Total Citations
33
H-Index
2
About
Kamal Gulati is a leading researcher at the intersection of artificial intelligence, machine learning, and their transformative applications across business and healthcare. His work critically examines how AI and ML algorithms reshape organizational ecosystems, particularly during crises such as the COVID-19 pandemic. Gulati’s most-cited study, a qualitative exploration of machine learning’s role in driving competitive advantage during the pandemic, has garnered 25 citations and highlights how AI technologies enhance business scalability and operational efficiency. In the medical domain, his research investigates the integration of robotics, AI, and ML into diagnostics, demonstrating how data-driven systems link patient data to historical records for more accurate disease correction. With over 33 combined citations from his top papers, Gulati’s contributions underscore the practical deployment of intelligent systems in real-world settings. His work is notable for bridging theoretical frameworks with applied case studies, offering actionable insights for students and researchers interested in the socio-technical impacts of AI. Gulati continues to advance the conversation on how machine learning can drive innovation in both commercial and clinical environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2