Harshavardhan Kamarthi

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.
news
Mar 1, 2023 | PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series on state-of-art hierarchical probabilistic forecasting is accepted at KDD 2023! |
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Feb 1, 2022 | Our paper CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting on State-of-Art multi-modal calibrated forecasting is accepted at WWW 2022! |
Feb 1, 2022 | Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future on leveraging revision data to imporve real-time forecasting and model evaluation is accepted at ICLR 2022! |
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! |