Recent Projects

See Google Scholar for complete list

Machine Learning and Climate Research

Machine learning for improving the climate research. How and where ML can augment or replace the current climate models. Check out our work on climate downscaling here: arXiv Preprint (2024), KDD (2022), BIGCOMP (2022)

Tabular Data and Fraud Detection

Advancing and applying machine learning for fraud detection in tabular data. Read our papers in CIKM (2023) (graph neural networks), TKDE (2022) (active learning), KDD (2020) (dual attention)

Misinformation and Pandemic

How people perceive and are affected by an abundance of information and misinformation during an extraordinary time like the COVID-19 pandemic. Check out papers in PLoS One (2022) (Misinformation), JMIR (2022) (Twitter discourse), JHF (2021) (Misinformation)

Signed Link Prediction in a Social Network

Signed link prediction in a social network  by leveraging disparate sources of data (emails, survey, HR). Amalgamation of not-parametrized methods, XGBoost, as well as SoTA NLP and GNN models. Read our publication here TKDD (2023)