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Jen Jen Chung is an Associate Professor in Mechatronics within the School of Electrical Engineering and Computer Science at The University of Queensland. Her current research interests include perception, planning and learning for robotic mobile manipulation, algorithms for robot navigation through human crowds, informative path planning and adaptive sampling. Prior to working at UQ, Jen Jen was a Senior Researcher in the Autonomous Systems Lab (ASL) at ETH Zürich from 2018-2022 and was a Postdoctoral Scholar at Oregon State University researching multiagent learning methods from 2014-2017. She completed her Ph.D. on information-based exploration-exploitation strategies for autonomous soaring platforms at the Australian Centre for Field Robotics in the University of Sydney. She received her Ph.D. (2014) and B.E. (2010) from the University of Sydney.

Hang is a Postdoctoral Research Officer in IELab within the School of Electrical Engineering and Computer Science 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, he received his Bachelor of Science degree in Computer Science at the University of Minnesota Twin-Cities, United States, 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 works seek 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 was supported by Grains Research and Development Corporation, through the AgAsk project during Ph.D.

• Dr Nguyen is a Lecturer in Robotics at the School of Mechanical and Mining Engineering, The University of Queensland. His research focuses on advancing autonomous robot capabilities in complex, large-scale environments through 1) principled and scalable fusion of complementary sensing modalities with distilled prior knowledge from learning processes for localisation & mapping, and 2) cooperative strategies for multi-robot systems. These research directions address challenging scenarios such as inspection, exploration, and manipulation, where robust localisation & mapping form a solid foundation upon which collaborative schemes can unlock new levels of efficiency and scalability.
• Dr Nguyen was previously a Research Assistant Professor at the Centre for Advanced Robotics Technology Innovation (CARTIN), Nanyang Technological University (NTU), following the Wallenberg–NTU Presidential Postdoctoral Fellowship, where he led collaborative research efforts between NTU and KTH Royal Institute of Technology. He received his PhD from the School of EEE, NTU, with the best thesis (Doctoral Innovation Award) in 2020. He graduated with a Bachelor of Engineering (Honours) from Vietnam National University – Ho Chi Minh City University of Technology in 2014. He is an active member of IEEE Robotics and Automation Society (RAS), and is currently an Associate Editor of IEEE Robotics and Automation Letters (RA-L) in the area of Localisation & Mapping.