DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery. - Jose Mathew 003; Meghana Negi; Rutvik Vijjali; Jairaj Sathyanarayana (ECML/PKDD (4), 2021)

Identifying Fraud Rings Using Domain Aware Weighted Community Detection. - Shaik Masihullah; Meghana Negi; Jose Mathew 003; Jairaj Sathyanarayana (CD-MAKE, 2022)

DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling. - Akash Deep; Sri Charan Kattamuru; Meghana Negi; Jose Mathew 003; Jairaj Sathyanarayana (ECML/PKDD (6), 2023)

Utilizing DevNet with Variational Loss for Fraud Detection in Hyperlocal Food Delivery. - Piyush Nikam; Rutvik Vijjali; Shaik Masihullah; Meghana Negi; Jose Mathew 003 (COMAD/CODS, 2024)