Rate My Professor Madhav Marathe

Marathe's research focuses on network science, artificial intelligence, high-performance computing, computational epidemiology, digital twins, multi-agent systems, discrete graphical dynamical systems, modeling and simulation of biological, information, social, and technical systems, and data analytics. He has authored or co-authored over 500 peer-reviewed publications, including seminal works such as "Modelling disease outbreaks in realistic urban social networks" (Nature, 2004), "Computational epidemiology" (Communications of the ACM, 2013), and "Supporting COVID-19 policy response with large-scale mobility-based modeling" (KDD 2021, Best Paper Award, Applied Data Science Category). His contributions have earned him fellowships from the Association for Computing Machinery (2014), Institute of Electrical and Electronics Engineers (2013), American Association for the Advancement of Science (2015), and Society for Industrial and Applied Mathematics (2018); an Honorary Doctoral Degree from Chalmers University (2023); the University of Virginia Distinguished Researcher Award (2023); membership in the Virginia Academy of Science, Engineering, and Medicine (2023); and multiple best paper awards. Marathe has mentored over 30 doctoral students, 20 master's students, and 15 postdoctoral fellows, and delivered invited lectures and tutorials on computational epidemiology, AI for pandemic response, and transdisciplinary team science.