Welcome to our lab! We are an inter-disciplinary research lab in the School of Computational Science and Engineering in the College of Computing at the Georgia Institute of Technology. We are housed on the 12th and 13th floors of the CODA building in beautiful Midtown Atlanta.
Our core research interests are in data science and machine learning. However, we are motivated by highly challenging real world problems, especially as they arise in computational epidemiology, public
health, critical infrastructure/urban computing, cybersecurity and the Web. We approach these applications from a data-driven viewpoint, and invent new inter-disciplinary methodologies bridging models/domain knowledge (e.g. disease models) with data (e.g. surveillance). We work closely with domain experts in these topics and design novel methods and tools cutting-across network science, combinatorial and stochastic optimization, data mining, AI and simulation areas.
If you are interested in joining the group: Thank you for your interest. Please see this
How do you forecast pandemics? How you do distribute resources to stop an outbreak as fast as possible? How do failures in power grids cascade?
We are broadly interested in Data Science, Machine Learning and AI
with emphasis on solving
big-data problems in networks and sequences. Many of the research questions we answer deal with
understanding and managing efficiently, dynamical mechanisms (like propagation) on networks,
occurring across natural, social and technological systems. These include problems motivated
from public health, computational epidemiology, cybersecurity, urban computing and the web
. My research combines
theoretical analysis of models, developing efficient algorithms and empirical studies on large scale
Georgia Institute of Technology
756 W Peachtree St NW, Suite S1207
Atlanta GA 30308 U.S.A.
invert(cc.gatech.edu @ badityap)
Admin: Carolyn Young
Financial Manager: Holly Rush