Aditya Prakash

Aditya Prakash is the Associate Chair for Academic Affairs and an Associate Professor at the School of Computational Science and Engineering within the College of Computing at Georgia Institute of Technology, Atlanta. He received his PhD in Computer Science from Carnegie Mellon University in 2012 and a BTech in Computer Science and Engineering from the Indian Institute of Technology - Bombay in 2007.

His research spans Data Science, Machine Learning, and AI with emphasis on solving big-data problems in networks and sequences. Dr. Prakash focuses on understanding and managing dynamical mechanisms (like propagation) on networks occurring across natural, social and technological systems. His work addresses problems motivated by public health, computational epidemiology, cybersecurity, urban computing, and the web. His research methodology combines theoretical analysis of models, developing efficient algorithms, and empirical studies on large-scale data.

Dr. Prakash leads multiple significant research projects including the NSF BEHIVE project for developing the science of pandemic prevention and prediction, collaborating with members from Georgia Tech, MIT, Michigan, Mayo Clinic, and UGA. His group has been actively involved in numerous efforts as part of the COVID-19 response, with work highlighted in Nature Biotechnology and IEEE Spectrum.

His research output shows strong trends in time-series forecasting, epidemic modeling, and network analysis. Recent publications demonstrate increasing integration of large language models with traditional forecasting methods, development of specialized architectures for epidemiological modeling, and innovative approaches to handling uncertainty in public health forecasting.

• Facebook Faculty Award on Statistics for Improving Insights, Models, and Decisions (2021)
• Best Paper Award at AI4ABM workshop at ICML 2022
• Alex Rodriguez (his PhD student) recognized as a 'Rising Star in Data Science' (2021)
• First place in the COVID-19 Symptom Data Challenge (organized by Facebook/Catalyst Health/CMU)
• Second place in the C3AI COVID-19 Grand Challenge

Dr. Prakash has successfully advised numerous PhD students who have gone on to faculty positions at institutions like University of Michigan, University of Iowa, and Virginia Tech, as well as positions at major technology companies including Google and Pinterest. His research has been supported by multiple NSF grants including NSF IIS Medium, NSF CISE Expeditions, NSF CAREER, and CDC MIND funding. He leads the BEHIVE project and has been involved in multiple pandemic response initiatives through the MIDAS network.

He teaches courses including 'CSE 8803: EPI: Data Science for Epidemiology' and 'CSE 8803 IUC: Introduction to Urban Computing,' demonstrating his commitment to training the next generation of researchers in these critical interdisciplinary areas.