A Framework for Evaluating MRC Approaches with Unanswerable Questions. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

PiMS: A Pre-ML Labelling Tool. - Irini Logothetis; Scott Barnett; Leonard Hoon; Srikanth Thudumu; Joseph Mathew; Carl Luckhoff; Gerard O'Reilly; David Collard; Rajesh Vasa; Kon Mouzakis; Mark Fitzgerald (e-Science, 2022)

Subspace based Anomaly Detection Framework for Point Clouds. - Johnahan Van Zyl; Hung Du; Srikanth Thudumu; Irini Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (e-Science, 2022)

An Integrated Federated Learning and Meta-Learning Approach for Mining Operations. - Venkat Munagala; Sankhya Singh; Srikanth Thudumu; Irini Logothetis; Sushil Bhandari; Amit Bhandari; Kon Mouzakis; Rajesh Vasa (AI (1), 2023)

Decentralized Federated Learning Strategy with Image Classification using ResNet Architecture. - Hung Du; Srikanth Thudumu; Sankhya Singh; Scott Barnett; Irini Logothetis; Rajesh Vasa; Kon Mouzakis (CCNC, 2023)

Exploring the Reliability of IoT Packet Classifiers: An Experimental Study. - Aleksandar Pasquini; Rajesh Vasa; Hassan Habibi Gharakheili; Irini Logothetis; Minh Tran; Alexander Chambers (GLOBECOM (Workshops), 2023)

Smart Home Goal Feature Model - A guide to support Smart Homes for Ageing in Place. - Irini Logothetis; Priya Rani; Shangeetha Sivasothy; Rajesh Vasa; Kon Mouzakis (CoRR, 2023)

Safeguarding LLM-Applications: Specify or Train? - Hala Abdelkader; Mohamed Almorsy Abdelrazek; Sankhya Singh; Irini Logothetis; Priya Rani; Rajesh Vasa; Jean-Guy Schneider (CAIN, 2025)