Recent Projects
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Machine Learning and Climate Research
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 ( Accepted to IJCAI 2024), KDD (2022), BIGCOMP (2022)
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 ( Accepted to IJCAI 2024), KDD (2022), BIGCOMP (2022)
Tabular Data and Fraud Detection
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)
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
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)
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
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)
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)
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