Praveen Ranjan Srivastava

Papers

Total Citations

H-Index

About

Praveen Ranjan Srivastava is a distinguished researcher whose work spans the critical intersection of artificial intelligence, operations research, and consumer behavior analytics. His major contributions are twofold: pioneering the application of nature-inspired algorithms to complex industrial optimization problems, and providing vital insights into post-pandemic consumer decision-making. In a landmark 2014 study, Srivastava introduced a cooperative approach using the Intelligent Water Drops algorithm to optimize Printed Circuit Board drill routing—a classic NP-hard problem—demonstrating how swarm intelligence can dramatically improve manufacturing efficiency. More recently, his highly cited 2021 empirical study (37 citations) on post-epidemic factors influencing hotel and leisure booking intent has become essential reading for understanding how pandemic-induced risk perception reshapes the hospitality industry. This work, which examines the interplay of health safety, economic uncertainty, and travel behavior, has proven invaluable for tourism stakeholders navigating the post-COVID landscape. Srivastava’s research is characterized by its practical impact, bridging theoretical algorithmic advances with real-world applications in manufacturing and service sectors. His ability to apply computational intelligence to pressing societal and industrial challenges marks him as a versatile and impactful scholar.