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Dr. Azadeh Ghari-Neiat is a Senior Lecturer in Software Engineering at the University of Queensland. Her research interests lie at the intersection of the Internet of Things (IoT), Mobile Computing, Crowdsourcing, and Cybersecurity. Her work focuses on enhancing connectivity and security in modern computing environments through innovative crowdsourcing solutions. She completed her PhD in Computer Science from RMIT University in 2018. Prior to joining UQ, Dr. Ghari-Neiat held academic positions at Deakin University as a Senior Lecturer and at the University of Sydney as a postdoctoral research fellow and casual lecturer.

Hang Li is a Research Officer and graduating PhD candidate in IELab within the School of Information Technology and Electrical Engineering at the University of Queensland, Australia, where he works closely with Prof. Guido Zuccon, A/Prof. Bevan Koopman, and Dr. Ahmed Mourad. Prior to Ph.D, Hang received his Bachelor of Science degree in Computer Science at the University of Minnesota Twin-Cities in United States in 2016.

Hang works at the intersection of Information Retrieval (IR), Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) applications, where he utilises different relevance feedbacks to empower the information retrieval system. His recent work seeks to address the gap between relevance feedback, deep language models, and information retrieval through different approaches that helps to improve the IR system effectiveness with minimal efficiency cost.

Hang publishes at premier academic venues in IR (e.g. SIGIR, ECIR, WSDM, WWW, TOIS, IJDL). His work is supported by Grains Research and Development Corporation, through the AgAsk project.