Impact of Data-Splits on Generalization: Identifying COVID-19 From Cough and Context
Published | Workshop Paper | ICLR 2021 — AI for Public Health Workshop and ML for Preventing & Combating Pandemics Workshop
Adaptive COVID-19 Forecasting via Bayesian Optimization
Published | Paper | CODS-COMAD 2021 — Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)
Pest Management in Cotton Farms: An AI-System Case Study From the Global South
Published | Paper | KDD 2020
Who and When To Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty
Published | Paper | AAMAS 2020 — Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds
Published | Preprint
Robust Lock-Down Optimization for COVID-19 Policy Guidance
Published | Paper | AI for Social Good – AAAI Fall Symposium 2020
Synthetic Data Generation for Improved COVID-19 Epidemic Forecasting
Published | Preprint |