Pankush Kalgotra

Pankush Kalgotra is an Associate Professor in the Department of Business Analytics and Information Systems at Auburn University's Harbert College of Business, where he conducts cutting-edge research at the intersection of healthcare analytics, network science, and information systems. His work leverages advanced computational methods to address critical health disparities and disease interaction challenges.

His academic credentials include:

• PhD in Management Science and Information Systems from Oklahoma State University
• MS in Management Information Systems from Oklahoma State University
• BTech in Information Technology from National Institute of Technology Raipur, India

Dr. Kalgotra's research program centers on healthcare analytics, network science, and neuroimaging in information systems, with particular emphasis on predictive modeling of disease comorbidities and the dark side of technology. He employs deep learning techniques to analyze electronic medical records and mobile health applications, revealing patterns in health disparities across demographic groups. His neuroimaging studies investigate cognitive impacts of technology interruptions on knowledge workers.

Analysis of his publication trajectory shows a consistent focus on applying network analytics to healthcare data science, particularly in modeling disease interactions and predicting clinical outcomes. Recent work increasingly integrates AI-driven approaches for early disease detection and examines pandemic-related digital health behaviors, demonstrating methodological evolution from traditional statistical modeling to advanced deep learning frameworks.

His scholarly recognition includes:

• Best Paper Award by AIS SIGHealth (2017) for multimorbidity network analysis of electronic medical records

Dr. Kalgotra actively mentors students in business analytics research and has secured funding for health informatics projects, though specific grant details aren't publicly enumerated. His collaborative work spans medical schools, computer science departments, and healthcare institutions, reflecting the interdisciplinary nature of his research agenda. Current projects focus on generative AI applications in clinical decision support and network-based modeling of long-COVID complications.