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Yong Ming is also a member of the UQ Business School's Digital Finance Research Hub

Dr Liyu Chen is a research-focused academic with interdisciplinary training in nanoengineering and neuroscience. She is currently a Research Fellow at the Clem Jones Centre for Ageing Dementia Research (CJCADR) at the Queensland Brain Institute (QBI), where she serves as the Blood-Brain barrier (BBB) Theme Leader in Prof. Jürgen Götz's laboratory, driving research aimed at advancing cerebral drug delivery.

Her research focussed on therapeutic ultrasound-mediated BBB opening to enhance drug delivery for Alzheimer’s disease and other neurodegenerative conditions. She also develops contrast-free imaging modalities by integrating protein engineering and modelling, molecular biology, structural biology and nanotechnology approaches.

Dr Shujian Chen started his research on nanomaterial modified cement and concrete in 2011. He is also dedicated to developing and adapting new nano/micro-scale characterisation and simulations techniques for developing new cement and concrete-based construction materials via emerging technologies. Since 2014, he extended his research to apply 3D printing technology in advanced manufacturing of multifunctional, high-performance cement-based materials.

Biography: Dr. Peng Chen is currently a Senior Lecturer at the School of Chemical Engineering and a Senior Research Fellow at the Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland (UQ). Dr Chen received his PhD degree from the School of Chemical Engineering at UQ in 2020 under the supervision of Prof. Lianzhou Wang. He then moved to AIBN for Australian Centre for Advanced Photovoltaics (ACAP) Research Fellow (2020-2022) and ARC DECRA Fellow (2023-2025). Dr. Chen's research focuses on the development of low-cost and efficient thin-film photovoltaic technologies for renewable energy conversion and storage, including perovskite solar cells, quantum dot solar cells, and lead-free perovskite optoelectronics. In 2018, he pioneered the concept of bilayer 2D/3D heterostructures for stable perovskite solar cells (Adv. Funct. Mater. 2018, 28, 1706923; citation: >850 times). In 2021, he participated in the design of ultrastable perovskite-MOF glassy composites for lighting applications (Science 2021, 374, 621). In 2024, he led the team to achieve a certified world-record efficiency of 16.65% for lead-free perovskite solar cells (Nature Nanotechnology 2025, 20, 779). Over the past decade at UQ, Dr Chen has contributed to 68 peer-reviewed publications in top journals, including Science (×1), Nature Nanotechnology (×1), Nature Energy (×1), Nature Communications (×2), Advanced Materials (×4), Angewandte Chemie International Edition (×7), Journal of the American Chemistry Society (×2), Advanced Energy Materials (×4), ACS Nano (×3), Advanced Functional Materials (×4), Nano Energy (×3), etc. His publications have attracted >8000 citations with a H-index of 37 (Google Scholar). He has attracted over $5 million competitive research funds from ARC, ARENA, Australian Government, etc.

Course coordinator: CHEE4006/4007 Research Project, and CHEE4026/4027 Research Thesis; Course Lecturer: ENGG1500 Thermodynamics: Energy and Enivronment; Guest Lecturer: MATE7016 Materials for Energy Conversion and Storage.

Dr Chen’s research aims to understand the molecular details of how phosphatases, kinases and their associated proteins regulate cell signaling and homeostasis.

In 2011, Dr Chen completed his PhD on structural studies of macrophage proteins in Professor Jennifer Martin’s laboratory at The University of Queensland’s Institute for Molecular Bioscience.

In 2012, Dr Chen secured a postdoctoral research position at Academia Sinica (Taipei, Taiwan) to work on the molecular insights of phosphatases and kinases interaction using the combination of X-ray crystallography, small-angle X-ray scattering and chemical cross-linking coupled with mass spectrometry.

In 2015, he also received the Outstanding Young Postdoctoral Research Award from the Biophysics Society of Republic of China (Taiwan).

In June 2016, Dr Chen joined Associate Professor Brett Collins’ group at IMB, where he is working to understand how lipid kinases and lipid-binding proteins are involved in the regulation of cellular membrane transport.

Dr. Guoliang Chen is a Postdoctoral Research Fellow at the ARC Centre of Excellence for Green Electrochemical Transformation of Carbon Dioxide (GETCO2) and the School of Chemical Engineering at The University of Queensland. He is also an Adjunct Research Fellow in the Centre for Future Materials at the University of Southern Queensland. He completed his Ph.D. in 2025 at the University of Southern Queensland. His research focuses on developing flow-through gas diffusion electrodes for the electrochemical reduction of CO2. His current main research interests include engineering advanced gas-diffusion electrodes, high-rate gas-phase product reduction, and electrochemical catalysis. To date, he has published over 21 peer-reviewed papers in top-tier journals, including Advanced Materials, Matter, Applied Catalysis B, etc.

I am a computational biologist and post-doctoral researcher at the Institute for Molecular Bioscience, specialising in computational oncology and spatial biology. My research leverages artificial intelligence and high-dimensional sequencing to decode the complex molecular mechanisms driving breast cancer progression and metastasis.

With a robust foundation in evolutionary genomics, I investigate intricate cellular interactions within tumour microenvironments. I develop advanced computational pipelines in R and Python to process and integrate spatial transcriptomics, single-cell RNA sequencing, and spatial metabolomics data.

My current research focus encompasses:

• Spatial Biology Data Integration: Analysing high-resolution multi-omic datasets to map tumour heterogeneity and identify functional clinical biomarkers.

• Digital Pathology and AI: Engineering machine learning models to predict disease trajectories and molecular features directly from standard histology images.

• Evolutionary Trajectory Modelling: Reconstructing the developmental pathways of metastatic subclones to understand local tissue invasion.

By bridging multi-omic data science with high-performance computing, my work aims to translate complex spatial profiles into scalable, precision diagnostic tools for clinical oncology.

Rocky Tong Chen is currently an Associate Professor and ARC DECRA Fellow with the Data Science Discipline, School of Electrical Engineering and Computer Science, The University of Queensland. Dr Chen's main research interests include recommender systems, LLM agents, graph and sequential data mining, and social media content moderation. His research outputs shares a common focus on developing accurate, efficient, and trustworthy data mining solutions to discover actionable patterns and intelligence from large-scale user data to facilitate prediction and recommendation in a wide range of domains.

To date, Dr Chen has published 90+ peer-reviewed papers in the most prestigious, CORE A*/A-ranked and CCF A-ranked conferences (e.g., KDD, SIGIR, WWW, ICDM, ICDE, AAAI and IJCAI) and journals (e.g., VLDBJ, IEEE TKDE, IEEE TNNLS, ACM TOIS and WWWJ). Dr Chen's work has attracted 7,500+ citations and an h-index of 40 on Google Scholar. a Field-Weighted Citation Impact of 4.51 (SciVal), i.e., his publications attract 4.51 times of the citations in comparison to similar papers of the same age, type and area. According to CNCI (Web of Science), 10 and 36 of his papers are respectively the top-1% and top-10% most cited. His publications have won 4 Best Paper Awards, 1 Best Paper Nomination, and 2 Travel Awards.

Dr Chen has been regularly providing services in the data science discipline as reviewers for CORE A*/A journals like TKDE, TNNLS, TOIS, and as program committee members for CORE A*/A conferences like KDD, SIGIR, NeurIPS, WSDM, ICDM, ACL. He is one of the Area Chairs of top conferences KDD, WWW, and ACL in 2024-2025, and the Program Chair of the 2024 Australasian Database Conference (ADC’24). In 2025, he is appointed as an Associate Editor of the SJR Q1-ranked journal Neural Networks. Besides, he led and delivered a series of technical tutorials at WWW (the No. 1 international web mining conference) in 2022, 2024, and 2025, as well as WSDM’25 (CORE A-ranked conference) and DASFAA’23 (top database conference), which all aimed to promote trustworthy, resource-efficient, and unbiased personalisation algorithms.

Dr. Qiaomin Chen is currently a Research Fellow in the School of Agriculture and Food Sustainability (AGFS) at the University of Queensland (UQ). Before receiving her PhD in Agricultural Science at UQ, she completed a Master’s degree in Physical Geography at UCAS and a Bachelor’s degree in Geographical Information System at WHT in China. With a solid foundation across earth and agricultural sciences, she has consistently pursued interdisciplinary learning and collaboration, actively exploring innovative solutions at the interface of geoscience and agriculture. Her diverse background empowers her to tackle real-world challenges in agricultural production.

She is particularly passionate about developing and applying advanced technologies in precision agriculture and modern crop breeding to improve efficiency and sustainability. She works at the intersection of plant phenotyping, crop modelling, machine learning and climate adaptation. Her current research focuses on leveraging integrative modelling approaches to inform field experiment design, optimize phenotyping strategies, and support crop growth monitoring across spatial and temporal scales.

I am a Senior Research Fellow, NHMRC Emerging Leader Fellow, and Group Leader at UQ Frazer Institute. I was awarded my PhD in late 2017 by Biomedicine Discovery Institute, Monash University. Under the UQ Health Research Accelerator (HERA) program, I lead a team to investigate T and B cell responses that profoundly regulate vaccine responses, viral clearance, and anti-tumour immunity.

My research program employs combinatorial methodologies of Biochemistry and Immunology to uncover new molecular mechanisms controlling T-cell-mediated immunity:

1. The action of T cells is required in antibody responses for suppressing viral infection or tumour growth and to confer protection upon vaccination. In particular, follicular helper T (Tfh) cells, a specialised subset of CD4+ T cells, essentially instruct the B cells to produce long-lived antibody protection. The knowledge of Tfh cells has fundamentally enabled vaccine development and therapy design for autoimmune diseases.

2. T-cell-derived cytokines play pivotal roles in both humoral and cellular immunity. Particularly, interleukin-21 (IL-21) is essential for supporting germinal centre (GC) reaction, where the B cell memory and long-lived antibody responses are generated. Besides, IL-21 is also the only known cytokine to maintain the functionalities of CD8+ T cells in the context of chronic infections or cancers by preventing a loss-of-function program termed 'exhaustion'.

This research program has generated multiple cutting-edge discoveries in the field, producing publications as 1st or joint 1st authors in top-tier journals including Nature Immunology, Science Immunology, and Nature Communications.

Professor Chen graduated with a Bachelor of Science in Chemical Engineering from the Massachusetts Institute of Technology and a Ph.D. in chemical engineering from the University of Minnesota. She has over twenty five years research experience in the areas of membrane separation, gas separation, biocatalytic systems, nanomaterials, and water treatment. She was professor of chemical engineering at the University of New South Wales from 2008 - 2018, the Director of the UNESCO Centre for Membrane Science and Technology from 2006 - 2014 and head of school of chemical engineering from 2014 - 2018. She is was formerly on the editorial board for the Journal of Membrane Science and Desalination Journal. Professor Chen was the Executive Dean of the Faculty of Engineering, Architecture, and IT at the University of Queensland from 2018 - 2022 and Provost and Senior Vice-President at the University of Technology Sydney from 2022 - 2025. Professor Chen is a Fellow of the Australian Academy of Technological Sciences and Engineering.

She currently holds ARC Discovery grants focussed on application of nanomaterials in membrane separation and had recently held funding from diverse sources such as CO2CRC, Coal Innovation NSW, ARC Linkage program, and CRC-P (Printed Energy). She is on the the advisory boards for the GETCO2 ARC Centre of Excellence and the Carbon Science and Innovation ARC Centre of Excellence.

Yi-Hsun Chen completed his PhD in Physics at the Monash University in 2024. Prior to this PhD, he obtained his Master degree in Optoelectronics at the National Chiao Tung University, Taiwan, in 2014.

His research interests relate to electronic transport and optical properties of the following field of study:

• Superconducting qubits
• Exciton science
• Bose-Einstein condensate
• 2D materials (graphene, transition metal dichalcogenides, etc.)
• Plasmonics

In 2024, He joins UQ as a Postdoctoral Research Fellow under an ARC Linkage Project "Surface and Interface Engineering for Superconducting Quantum Circuits," pursuing high-quality superconducting quantum circuits using surface engineering strategies.

Please find his publication list via google scholar profile https://scholar.google.com.tw/citations?user=EvKa9qIAAAAJ&hl=en

Jeff Chen is a pyrometallurgist with strong expertise in high-temperature phase equilibria and gas/solid reaction kinetics. He has over 15 years of research experience in extractive metallurgy, focusing on metals such as Cu, Pb, Ni, PGM, and Fe, through ongoing research collaborations with major mining and metal producers worldwide. Jeff has successfully secured over 10 million dollars in research funds from the Australian government and industry, primarily through funding schemes like ARC linkage and Trailblazer. His contributions to the field include the publication of over 60 papers in leading journals and major conferences in metallurgy, and he was awarded the Best Paper Award from TMS in 2021.

In addition, Jeff is a recognised expert in various quantitative microanalysis techniques, including electron microprobe (WDS) and laser ablation ICP-MS. His specialization lies in the application of quantitative microanalysis in the field of extractive metallurgy. He played a pioneering role in implementing LA-ICP-MS for trace element analysis in metallurgical materials and has consistently contributed to the development of new standard reference materials for sulfides and alloys. From 2018 to 2021, he served as the state representative for the Australian Capital Territory (ACT) in the Australian Microbeam Analysis Society.

Furthermore, Jeff has been actively involved in university teaching, covering subjects such as chemical thermodynamics, pyrometallurgy, and metal production and recycling