I’m Harsha. I’m a Machine Learning PhD student in Department of Computational Science and Engineering at Georgia Institute of Technology . I am affiliated with AdityaLab and am advised by Dr. B Aditya Prakash. I gratuated from Indian Institute of Technology Mardas and am fortunate to have worked with Dr. Balaraman Ravindran and Dr. Sutanu Chakraborti.
My research interests broadly revolves around the fields of Generative Modeling, Epidemic Forecasting, AI for public health, Reinforcement Learning and Deep Learning. My current research interests are:
- Generative modeling for multi-source and time-series forecasting with focus on uncertainty quantification and calibration.
- Spatio-temporal modeling with deep learning methods that are robust to noisy data
- Epidemic modeling and forecasting
- Reinforcement Learning in real-world including Network problems like graph exploration, influence maximization.
|Oct 1, 2021||Our paper When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting on State-of-Art calibrated and explainable Epidemic forecasting is accepted at NeurIPS 2021!|
|Jan 1, 2021||Starting PhD in Machine Learning at Georgia Tech at AdityaLab advised by Dr B Aditya Prakash!|
|Jun 1, 2020||Awarded the Alumini Association Award for best Academic Record in Dept. of Computer Science, IIT Madras.|
|Jun 1, 2020||Awarded the Lakshmi Ravi Award for best Masters Thesis in Dept. of Computer Science, IIT Madras titled Learning policies for social network discovery with reinforcement learning. Very grateful to my Masters Advisor Dr. Balaraman Ravindran.|