Arni S.R. Srinivasa Rao

Arni S.R. Srinivasa Rao serves as Professor at Augusta University with dual appointments in the Medical College of Georgia (Department of Medicine) and College of Science and Mathematics (Department of Mathematics). He directs the Laboratory for Theory and Mathematical Modeling at the Medical College of Georgia and maintains active research collaborations across global institutions including Oxford University and the Indian Statistical Institute.

His educational foundation includes a Ph.D. in Demography and Population Studies from Deemed University (2000) and an M.S. in Pre-Medicine from Andhra University (1995). These qualifications underpin his interdisciplinary approach spanning mathematical theory and medical applications.

Rao's research program integrates advanced mathematical frameworks with real-world health challenges. His pioneering work in AI-driven epidemiology produced the first global app-based COVID-19 identification model, while innovations like EDLM (Exact Deep Learning Machines) and Rao's Partition Theorem redefine computational approaches in population dynamics. Core methodologies draw from complex analysis, stochastic processes, and multilevel contour modeling.

Recent publications (2023-2024) reveal a strategic fusion of mathematical tributes, governmental demographic analysis, and AI theory. These works collectively advance interdisciplinary bridges between pure mathematics, statistical theory, and practical healthcare solutions through novel population modeling techniques.

Major recognitions include:

• Elected Fellow of ISMMACS (2024)
• C. Chandrasekharan Memorial Lecture (2024)
• AMS Special Session Invited Speaker at JMM (2023-2024)
• Elected Fellow of ISPS (2023)

As an educator, Rao mentors M2 medical students and graduate researchers while developing curricula for Healthcare Matters modules. His laboratory drives collaborative projects in vascular biology and biostatistical consulting, supported by university-wide committee leadership in PhD program development and academic governance.