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Dr Ai Wang has been actively involved in fundamental and applied research into multiphase systems over the last 10 years in mineral and pyro-metallurgical processing. She obtained her doctor degree of Chemical Engineering in the University of Newcastle. Her research involves a combination of experimental measurement, theoretical and computational modelling (e.g. CFD) using either commercial software ANSYS or self-developed codes. Using computationally modelling methods, Dr Ai optimized the structure of flotation column; modelled the collision between particles and bubbles in the presence of turbulence; simulated the diffusion of reactant gas through coke microstructure while reacting with carbon. Using experimental methods, Ai investigated the flow field inside flotation columns using Particle Image Velocimetry (PIV); examined the rise dynamics of particle-laden bubbles in pure water and in surfactant solution using high-speed camera. Ai was also involved in gasification of coke in the thermogravimetric analysis (TGA) under both CO2 and H2O environment wherein she developed image processing algorithms to analysis coke maceral composition and reacted microstructure. A summary of her current and past research can be found in

https://scholar.google.com.au/citations?user=l_ZPjRUAAAAJ&hl=en

Examples of Dr Ai’s role as leading researchers includes the following projects: “Optimization of a cyclonic-static micro-bubble flotation column using CFD” with the National Engineering Research Centre of Coal Preparation and Purification (in China); “National 973 Key Basic Research Development Program: Basic Research of Large-Scale Quality Improvement and Utilization of Low-Quality coal" (in China); “Hydrodynamics of Flow Regime Transition in a Reflux Flotation Cell” Project 24 with Australia Research Council, Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals, (in Australia); “Coke Reactivity with CO2 and H20 and Impacts on Coke Microstructure and Gas Diffusion” with the Centre for Ironmaking Materials Research etc. In acknowledgement of her work in the multiphase flow and reacting engineering, Dr Ai is selected to be reviewers for abstracts submitted to the 16th International Conference on Gas–Liquid and Gas–Liquid–Solid Reactor Engineering (GLS-16). She is also the lead guest editor in the Special issue "Recent Advances in Computational Fluid Dynamics (CFD) Simulation of Flotation" in the journal Minerals in MDPI publication group. Ai also co-supervised final-year graduate students. Dr Ai was also reviewer for Q1 journals such as “the Colloids and Surfaces A”, “ACS Omega” and Q2 journals such as “materials” and “powders” etc.

Professor Geoff Wang received his PhD in Chemical and Metallurgical Engineering from the Northeastern University, Shenyang, China in 1990. After earned about 2-year Visiting Academic experience at University of New South Wales, he joined the University of Queensland in 1996 and has been leading in the research focusing on modeling and simulation of the Chemical and Metallurgical Engineering processes, such as iron ore sintering, iron- & steel-making, sustainable energy, coalbed methane (CBM) extraction and carbon dioxide capture and utilization including CO2 -sequestration with enhanced coalbed methane (CO2-ECBM) recovery. Professor Wang’s research activity and interests are directed towards developing energy and environmental technologies. He has made significant contributions to the field of research on fluid flow, heat and mass transfer in chemical reactors, particularly gas solid reaction kinetics associated with various porous media. He has been active and completed research programs in clean energy technologies such as pulverized coal injection into blast furnaces, hydrogen production through lower emission coal combustion, and CO2 electrochemical conversion to fuel or reusable chemicals.

Professor Wang is author of a monograph entitled "Pulverized Coal Injection Technology for Blast Furnaces" and has over 100 original journal publications and about 60 refereed conference papers, included 2 patents.

Dr Sen Wang is an ARC DECRA Senior Research Fellow and Senior Lecturer in computer science and data science at the School of Information Technology and Electrical Engineering at UQ. He is also a CI on several health data analytics research grants. Sen has an interest in ICU data and has clinical collaborations with RBWH and Children’s Hospital. Dr Wang received his PhD degree in 2014 and his research interest includes various topics on Feature Selection, Semi-supervised Learning, Deep Learning, Pattern Recognition, Data Mining, and Health Informatics. Since 2010, Dr Wang has published 80+ academic papers in top conferences and journals. Most were published in internationally renowned journals and conferences in the fields of data science, data mining, and machine learning, such as Algorithmica, TNNLS, TMC, TKDE, TCYB, TMM, WWWJ, Signal Processing, ACM TOMM, ACM MM, IJCAI, AAAI, SDM, CIKM, CVPR, ICCV, ICDM, ISWC, ECML-PKDD, PAKDD, ICONIP, ICPADS, and WISE, all CORE A/A* journals and conferences.

Liguang Wang obtained his PhD from Virginia Tech (Supervisor: Roe-Hoan Yoon). His research focus is mineral processing and metal extraction for the transition to renewable energy. He was honoured with the ACARP Research and Industry Excellence Award in 2022.

More details from the lab website.

Fully funded PhD project: We are seeking a domestic student working on sustainable production of lithium minerals, which is supported by an Australian Research Council Linkage grant. Web link for the scholarship: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/sustainable-beneficiation-lithium-minerals

Dr Wang is currently appointed as Honorary Research Fellow / Lecturer at UQ, double affiliated to RMIT University as Senior Lecturer. She is holding Ph.D in Geography, University of Queensland, Australia, 2018; M.S. in GIS, Northern Illinois University, USA, 2011; B.S. in Urban Planning, Sun Yat-Sen University, China, 2009. Before joining UQ in 2015, she worked as a Geographic Information System (GIS) analyst (2011-2012) in Arizona State Government, USA, and a GIS manager (2012-2015) eTour International, a private IT sector in Hawaii, USA. She has been working as an Australian Research Council (ARC) Postdoctoral Research Fellow (2018-2020) and as an Associate Lecturer (2021-2022) at UQ. She was nominated by the Australia Academy of Sciences as the Research Fellow of the Japan Society for the Promotion of Science in 2021. I have been involved in teaching in six courses at UQ: GEOM 2001 Introduction of Geographic Information Analysis (lecturer and course coordinator); GEOM 3003/7002 Spatial Modelling and Analysis (lecturer and course coordinator); GEOM 1001 Fundamentals of Geographic Information and Technologies (lecturer and tutor); GEOG2001 Human Mobility and Migration, GEOG 2205/7205 Global Population Issue, and GEOG 3205 Applied Demography.

Liang is currently a full professor at the Department of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China. He is also an adjunct research fellow at the University of Western Australia and the University of Queensland and serves as an adjunct associate professor at the Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University. Prof. Liang Wang's research interests include but are not limited to microbial informatics, bacterial metabolism and physiology, rapid diagnosis of bacterial pathogens, application of Raman spectroscopy, glycogen structure and metabolism, etc. Liang was awarded a Doctor of Philosophy Degree from the University of Western Australia in 2014 and received his postdoctoral training at Concordia University (Montreal, Canada) and Curtin University (Perth, Australia). Prof. Wang currently serves as an associate editor for the journals Frontiers in Microbiology, Gene Reports, and active editorial board members at BMC Microbiology, BMC Bioinformatics, PeerJ, Heliyon (Advisory Member), Immunity, Inflammation and Disease (Emerging Editor), Translational Metabolic Syndrome Research, Future Integrative Medicine, iMeta, etc. Prof. Liang Wang has published more than 150 peer-reviewed papers in international journals such as Lancet Microbe, ISME and Carbohydrate Polymers, etc.

I am a Research Fellow in Health Economics at the University of Queensland’s Centre for the Business and Economics of Health (CBEH). My research focuses on the economic evaluation of varying healthcare interventions for cancer, with interests in exercise oncology, precision medicine, and implementation science. I am dedicated to advancing the long-term wellness of women following cancer treatment, specifically by identifying the cancer rehabilitation programs that provide the best value for money for this population. Additionally, I explore the role of therapeutic radiopharmaceuticals in cancer treatment, seeking to develop innovative cost-effective analysis that enable more robust evaluation of these novel therapies at the production stage.

Shuai Wang is a Postdoctoral Research Fellow at ielab (led by Professor Guido Zuccon) at The University of Queensland. His research focuses on information retrieval (IR), large language models (LLMs), and natural language processing (NLP), with particular emphasis on developing AI-driven systems for knowledge-intensive tasks.

Shuai completed his PhD on automating medical systematic reviews using neural retrieval systems and generative models (thesis: AI-driven Automated Systematic Reviews). His doctoral work encompassed automatic MeSH term suggestion, screening prioritization, seed-driven retrieval methods, and automatic Boolean query formulation.

His broader research contributions span federated search optimization and improving model efficiency in IR and retrieval-augmented generation (RAG) applications. His work has been published at premier venues including SIGIR, ECIR, WSDM, and EMNLP. He has served on program committees for SIGIR, ECIR, ICTIR, and TOIS, and as SIGIR-AP Queensland local satellite chair.

Education

• PhD, The University of Queensland (2021–2025)
• Master's degree, The University of Queensland (2020–2021)
• Bachelor's degree, The University of Western Australia (2017–2019)

Biography:

Professor Lianzhou Wang FAA FTSE is Australian Research Council (ARC) Australian Laureate Fellow at the School of Chemical Engineering, Director of Nanomaterials Centre (Nanomac), and Senior Group Leader of Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland. He received his PhD degree from Shanghai Institute of Ceramics, Chinese Academy of Sciences in 1999. Before joining UQ in 2004, he has worked at two leading national research institutions (NIMS and AIST) of Japan as a research fellow for five years. Since joining UQ, he has worked as ARC Queen Elizabeth II Fellow (2006), Senior Lecturer (2007), Associate Professor (2010), Professor (2012-now) and ARC Future Fellow (2012-16), and is now an ARC Australian Laureate Fellow at the Chemical Engineering School and AIBN.

Research:

Professor Wang's research focuses on the synthesis, characterisation and application of semiconductor nanomaterials for use in renewable energy conversion/storage systems including photocatalytsts for solar hydrogen and valuable chemical production, rechargeable batteries and low cost solar cells. In the past 20 years at UQ, as a Chief Investigator, he has attracted a large number of competitive research funds from ARC, CRC, CSIRO and industry. Prof. Wang has contributed 3 edited books, 14 edited book chapters, more than 600 journal publications (including top ranking journals such as Science, Nature Energy, Natue Nanotech, Nature Rev. Mater., Chem. Rev., Chem Soc. Rev., Nature Commmun, Angew. Chem., Adv. Mater., J. Am Chem. Soc., etc.), filed 20 patents and delivered over 130 plenary/keynote/invited presentations. His publications have received >61,000 citations with a H-index of 131 (Google Scholar). Prof. Wang is serving as Editor/Associate Editor/Editorial Board member of more than 10 international journals including Advanced Materials (Wiley Publishing group, Impact factor 32.09). He is named on the list of the Clarivate’ Highly Cited Researchers (Top 0.1% researcher in the world).

Prof. Wang has won a number of prestigious Fellowships/awards including STA Fellowship of Japan, ARC QEII Fellowship of 2006, UQ Research Excellence Award of 2008, Scopus Young Researcher Award of 2011, ARC Future Fellowship of 2012, UQ Research Supervision Award of 2018, ARC Australian Laureate Fellowship of 2019, Research Excellence Award in Chemcial Engieering of 2019, and ARC Industry Laureate Fellowship of 2024.

Prof. Wang is the elected fellow of the Australian Academy of Science (FAA), the Australian Academy of Technological Sciences & Engineering (FTSE), Academia Europaea (MAE) and Royal Society of Chemistry (FRSC). On professional services, he serves as the chair of National Committee for Materials Science and Engineering, Australian Academy of Sciences, and the President of Australian Materials Research Society.

Teaching and RHD supervision activities

• Lecturer of second year undergraduate core course CHEE2003 Fluid & Particle Mechanics and fourth year engineering course CHEE4301 Nanomaterials and Their Characterisation
• Research Supervision: 45 RHDs awarded, current supervisor/co-supervisor of ~20 PhD students & 15 Postdoctoral Fellows/Research Fellows/Senior Research Fellows.

I lead the Technology-Driven Drug Discovery (Tech3D) Group at the Institute for Molecular Bioscience, UQ. We believe that the key to solving some of our world's biggest challenges, whether that be in medicine or agriculture, relies on the ability to precision engineer molecules at will. My group harnesses three technological pillars to engineer peptides and proteins, which are computational biology, molecular libraries, and nanotechnology. We aspire to design better drugs, creating next generation biotechnological agents that have real impact. These could be new cancer drugs that harness the body's immune system or new insecticides that are environmentally friendly. In these pursuits, we value advancement, fun, balance, respect, fairness, and integrity.

I have been involved in peptide and protein research for over two decades, and am highly experienced in bioinformatics, chemistry, structural characterization, biophysics, and biochemistry. I trained with experts in peptide and protein characterization: an Honours project with Professor Garry King at the University of New South Wales, Sydney, Australia (2004), an APA scholarship with Professor David Craik at the University of Queensland Institute for Molecular Bioscience, Brisbane, Australia (2005-2009) and a NHMRC fellowship with Professor Mingjie Zhang at the Hong Kong University of Science and Technology, Hong Kong, China (2009-2011) and A/Professor Andreas Hofmann at Griffith University Eskitis Institute, Brisbane, Australia (2011-2012). I returned to the University of Queensland in 2012 to join an industry partnership funded by an ARC linkage grant. I currently hold an ARC Future Fellowship and am responsible for a team of research officers, assistants and postgraduate students.

My research output has been recognised by >30 prizes and awards for leadership, research translation and fundamental research excellence, as well as numerous invitations to speak at academic and pharmaceutical conferences. I have over 100 publications and have been cited by researchers from across the world.

Dr Jihong Wang (English name: Lily) has the following NAATI credentials: Certified Interpreter (Mandarin/English), Certified Translator (from English into Chinese) and Certified Translator (from Chinese into English).

She completed a PhD thesis entitled "Working Memory and Signed Language Interpreting" at Macquarie University in 2013 and then worked there as a full-time researcher on a research project regarding the Adult Migrant English Program (AMEP) for one and a half years. She is working full-time as a Lecturer in the Master of Arts in Translation and Interpreting (MATI) program at The University of Queensland.

Lily conducts empirical and interdisciplinary research on Mandarin/English interpreting, Auslan (Australian Sign Language)/English interpreting, simultaneous interpreting, cognitive processing in interpreting and translation (e.g., cognitive load, processing time/time lag/ear-voice span, working memory), expertise in interpreting, telephone interpreting, machine interpreting versus professional interpreting, interpreting performance assessment, sight translation and deaf signers' working memory capacity.

She uses a wide range of research methods such as questionnaire-based surveys, interviews, experiments, case studies (of authentic simultaneous interpreting data and real-life telephone interpreting data), role-plays (of face-to-face and remote interpreting), corpus (of interpretation data) and microanalysis (i.e., local analysis) to conduct empirical studies on various aspects of interpreting and translation. Moreover, she also employs useful tools such as SPSS, NVivo (for analysing qualitative data such as interviews) and ELAN (for analysing audio- and video-recordings of interpretation data, see https://archive.mpi.nl/tla/elan) to analyse research data.

She has published a book, some book chapters and many research articles in high-quality journals in Translation and Interpreting Studies, including Interpreting, Target, Perspectives, Meta, The Interpreter and Translator Trainer, Translation and Interpreting Studies and The Interpreters' Newsletter.

In October 2019, she gave a presentation entitled 'What goes around comes around: How interpreting practice informs research and vice versa' when she was a visiting scholar at Gallaudet University, Washington DC, United States. Here is the link to the video and transcript:

https://www.gallaudet.edu/department-of-interpretation-and-translation/department-of-interpretation-and-translation-research/colloquium-lecture-series.