Find an expert

Professor Mingxing Zhang’s research interests are in the additive manufactruring of metals and MAX phase mateirals, high entropy alloys, new alloy design through machine learning and application of crystallography to engineering materials, surface engineering of metals, and grain refinement for cast metals.

Prof Zhang is a world leader in the area of crystallography of phase transformations and its applications in engineering materials, and is recognised as one of the top researchers in the areas of phase transformations, grain refinement for cast metals, additive manufacturing of metals, and surface engineering.

Prof Zhang obtained his Bachelor of Engineering from the Inner Mongolian University of Science and Technology and Master of Engineering from Northwestern Polytechnical University, China. In 1997 he was awarded his PhD degree by The University of Queensland. His research expertise and interests include crystallography of phase transformations, grain refinement and alloy development of aluminum and magnesium alloys, surface modification and coatings, bainitic transformation and bainitic steels.

Prof Zhang’s research hopes are to apply his fundamental research results to develop new generation metallic materials and to improve the current materials processing techniques. His research outcomes will also offer materials scientists a totally new way to undertake surface treatment for metallic materials, therefore to significantly improve the surface durability of this type of materials. For example, the recently developed new packed powder diffusion coating technique for titanium alloys will enable the replacement of the highly costive superalloys with Ti alloys. The research also hopes to enhance Australia’s competitive ability in international markets in light metals and contribute significantly to material science with the study of the mechanism of phase transformations in solids.

• 2023-now Joint Senior Research Fellow, Centre for Nutrition and Food Sciences, The Queensland Alliance for Agriculture and Food Innovation (CNFS, QAAFI)
• 2022-now Senior Research Fellow, AIBN, The University of Queensland
• 2020-now NHMRC Emerging Leadership Fellow, AIBN, The University of Queensland
• 2017-2019 ARC DECRA Fellow, AIBN, The University of Queensland
• 2016-2017 Research Associate, AIBN, The University of Queensland
• 2013-2015 Macquarie University Research Fellow (MQRF), Department of Chemistry and Biomolecular Science (CBMS), Macquarie University
• 2012-2013 Postdoc Research Fellow, Department of Physics and Astronomy, Macquarie University
• July 2012 PhD, Analytical Chemistry, Dalian University of Technology (DLUT), China

Research Team: Dr Zhang is now leading more than 15 researchers, working on the development of responsive molecules/nanomaterials for biosensing and imaging, early disease detection and treatment, food/agricultural/environmental applications. He has collaborations with scientist in Chemistry, Materials Science, Molecular Biology and Biotechnology, Food and Agriculture Science, and Biophotonics from Australia, US, UK, Sweden, India, Russia and China.

Research Support: Since 2011, Dr Zhang has attracted 12 research grants (> 4 million) as chief investigator (lead CI and/or co-CI). These grants include 3 Fellowship (NHMRC Emerging Leadership, ARC DECRA and MQRF to develop responsive probes for redox biomarkers detection within body), 1 NHMRC Project grant in redox quantification in liver cancer chemotherapy, 1 ARC DP to develop nanoparticle with ultra-high MRI signal for sensor applications, 1 UQ ECR grant, 1 NSFC grant, and another 3 grants from universities.

Research Output: Dr Zhang has published about 200 research papers since his first publication in 2010 (~110 papers published as first and/or corresponding author), and 1 patent. He frequently publishes in a number of premier journals, such as Nature Photonics, Nature Plants, Journal of the American Chemical Society (JACS), Angewandte Chemie, Analytical Chemistry, Chemical Society Reviews, and Accounts of Chemical Research. These publications have received more than 11,000 citations with an H-index of 60. He has 9 Highly Cited Papers (7 in the ESI field of Chemistry-Analytical) and 3 Hot Articles.

Service: Dr Zhang is an Editor of TrAC Trends in Analytical Chemistry (Elsevier, 1/106 in Analytical Chemistry) and Methods (Elsevier, 7/85 in Biochemical Research), and Editorial Board Member of several international high impact journals, such as Chemistry-An Asian Journal (Wiley), Aggregate (Wiley), Journal of Pharmaceutical Analysis (Elsevier), Green Analytical Chemistry (Elsevier). He is a referee of >40 international journals (2nd most contributions of all UQ researchers, with >20 awards from RSC and Elsevier journals), and grant assessor for more than 10 country and regions, such as Australia, UK, Europe, Netherland, New Zealand.

Award: Dr Zhang's national and international standing in the fields of chemistry (analytical) and functional nanomaterials is evidenced by the awards of ACS Rising Star in Measurement Science, NJC Emerging Investigator, Biosensors Young Investigator Award, IAAM Scientist Medal, Vebleo Fellow, IAAM Fellow, ARC DECRA, NHMRC EL Fellow, MQRF, and more than 20 TOP Outstanding Reviewer awards from RSC and Elsevier. He has been a World's Top 2% Scientist in Chemistry (Analytical) and Nanoscience & Nanotechnology since 2022 by Stanford/Elsevier World’s Top 2% Scientist Ranking, and top 0.5% of all scholars worldwide for excellence in research productivity, impact and quality by ScholarGPS Ranking (ranked #183 Globally in Biomedical Engineering). He has delivered 40+ invited presentations and keynotes.

Teaching and Supervision: Dr Zhang has a strong commitment to training students. His students have received several awards, such as 5 "Dean’s Commendation for Outstanding Academic Performance", 1 "Dean’s Award for Excellence in Higher Degree Research", 1 "Dean's Award for Outstanding HDR Theses", ANFF-Q students award, 3MT Runner-UP and People's Choice. He has supervised 10 PhD and >20 Masters to completion. He is now co-coordinating and lecturing the MSE PP ENGY7112/7115/7114/7215 in School of Chem. Eng., EAIT. His teaching contributions in UQ are recognised by twice nominations of "Dean’s Commendation for Excellent Teaching Awards" in semesters 1 and 2 in 2022 by the students.

Dr. Zhen Zhang specializes in developing advanced nanotechnology platforms for diagnosing cancers and other pathologies through liquid biopsy. Her research integrates expertise in nanotechnology, bioengineering, and analytical chemistry to create innovative solutions for early detection and disease monitoring. By leveraging cutting-edge techniques such as microfluidics and surface-enhanced Raman spectroscopy (SERS), Dr. Zhang's work aims to enhance the sensitivity and specificity of liquid biopsy methods. Her multidisciplinary approach focuses on translating these technologies into clinical applications, advancing precision medicine for cancer and other complex diseases.

I am a senior bioinformatician at the Institute for Molecular Bioscience, The University of Queensland, with over 20 years of experience in next-generation sequencing (NGS) data analysis. My career began with the greenfield development of three major NGS platforms: 454, Illumina, and SOLiD. This early experience laid the foundation for my extensive expertise in bioinformatic analysis across a wide range of NGS data types.

While bioinformaticians are often positioned in service-oriented roles, my work has consistently extended beyond service delivery. For example, as the leader of the bioinformatics core facility at the Queensland Brain Institute from 2012 to 2022, my primary responsibilities included providing bioinformatics support, but I also actively contributed to project design, supervised PhD and Master’s students, and maintained a strong research profile.

To date, I have authored 45 peer-reviewed publications, with more than one-third as first, co-first, or last author. According to SciVal, over 57.8% of my publications rank in the top 10% most cited in their respective fields. My research spans the development of novel bioinformatics tools, such as the TRIAGE R package for regulatory analysis of both bulk and single-cell RNA-seq data (Briefings in Bioinformatics, 2025), as well as studies in single-cell transcriptomics (Nature Communications, 2025; Developmental Cell, 2024), lncRNA analysis (Molecular Psychiatry, 2024; Nature Communications, 2023), integrative analysis of ATAC-seq and lncRNA data (Cell Reports, 2022), de novo transcriptome assembly (Development, 2022), noncanonical Z-DNA structure analysis (Nature Neuroscience, 2020), m6dA DNA modification analysis (Nature Neuroscience, 2019), whole-exome sequencing analysis (Genome Medicine, 2017), and cross-ethnic meta-analysis (Nature Communications, 2017), reflecting a broad and sustained contribution across multiple areas of genomics and computational biology.

Dr Dongxue Zhao is a Research Fellow within the Queensland Alliance for Agriculture and Food Innovation at The University of Queensland, Australia. Her research aims to contribute to sustainable gains in crop productivity by improving our understanding of how crop-soil interactions determine crop and root growth, water and nutrient uptake, and final yield. In her research, she combines innovative proximal and remote sensing techniques of crops, soils and roots, with predictive modelling and artificial intelligence tools. These include integrating electromagnetic induction (EMI) techniques, and drone and satellite imagery to monitor crop root growth and water use dynamics over time; 3D mapping of soil properties and sub-soil constraints to map resource constraints; time-lapse imaging of soil wetting and drying cycles for applications in irrigated cropping; developing new hyperspectral libraries for the rapid estimation of plant, crop and soil properties; data fusion and machine learning in the landscape mapping of soil carbon, plant water and nutrients availability.

Research Interests

• Phenotyping crop rooting systems in the field
• 3D characterization of soil water content and crop water use
• Developing new spectral databases for measuring and monitoring soil and plant properties

Dr Weiming Zhao is an ARC DECRA Fellow (2026 - 2029) in the School of Civil Engineering at the University of Queensland.

A domestic (Australian citizens or permanent residents) PhD position is availble: "Learning-based control strategies for personalised and socially aware automated vehicles".

His research sits at the intersection of robotics, human behaviour, and infrastructure, focusing on Intelligent Transportation Systems (ITS) and the interactions between Connected and Automated Vehicles (CAVs) and human drivers in mixed traffic. Using control theory and machine learning, including Model Predictive Control and Mathematica-based modelling, he develops trajectory planning solutions for CAVs at intersections and highway merging areas, aiming to improve safety, efficiency, and energy use in both urban and highway settings.

Dr Zhao completed his PhD at the University of Leeds, followed by a postdoctoral position at Aalto University. He joined UQ as a postdoc in 2022, before commencing his DECRA fellowship in 2026. His current DECRA project, Make Automated Vehicles Personalised and Socialised, investigates how control methods for automated vehicles can align with human driver behaviour to build trust.

Wenhua Zhao is an Associate Professor at The University of Queensland and a globally recognized expert in offshore hydrodynamics and renewable energy technologies.

He is the recipient of the prestigious ARC Future Fellowship (2024-2028) and DECRA Fellowship (2019-2022), with over 110 publications and six awards influencing both industry and academia. He has helped secure over AUD30 million research funding from both Australian Research Council and industry, contributing to transformative engineering practices in renewable energy sectors and oil & gas industry.

His research focuses on Clean Energy, AI, and Climate Change, with groundbreaking studies on wave-structure interactions -- showcased by his multiple publications in Journal of Fluid Mechanics and industry-focused applications, a rare integration of theoretical research with practical implementation. He pioneers innovations in floating wind energy, floating solar, offshore aquaculture, and green hydrogen, leveraging artificial intelligence to transform offshore renewable energies.

Wenhua has been a Deputy Editor for Ocean Engineering (No. 1 in marine engineering, ISI web), Associate Editor for the renowned ASME's Journal of OMAE, and editorial board member for the Q1 journal Applied Ocean Research. His teaching, particularly the "Design of Offshore Energy Systems" course, has prepared hundreds of students for impactful careers in coastal and ocean engineering.

Dr Yan Zhao is an agricultural remote sensing and digital agriculture scientist specialising in the integration of Earth observation, artificial intelligence, crop modelling and climate information for crop monitoring and decision support. His research spans satellite, UAV and proximal sensing to quantify crop type, phenology, soil moisture, crop stress and yield across field to regional scales. He develops scalable spatial-data and machine-learning approaches to translate complex sensing and environmental data into practical agricultural information, working closely with growers, agribusiness, government and international research partners. His current research increasingly explores multi-source hyperspectral sensing and analytics for detecting crop stress and assessing crop productivity and grain quality.

Professor Zhao (PhD, ANU, 1993; MSc, Univ Adelaide, 1989; BSc, Nanjing Univ, 1985) has ~30 years research experience in isotope geochemistry and geochronology, with research interests straddling across the fields of geological, geochemical, geographical, environmental, ecological and archaeological sciences. He developed the mass spectrometry U-series dating methods at UQ and applied them to dating coral reefs in the Great Barrier Reef and other parts of the tropical oceans, karstic deposits (stalagmites, stalactites, flowstones, etc) and calcite veins across different continents, as well as important hominid and fauna records in China, South East Asia, Australasia, Europe and Polynesia, which have received widespread recognition and public attention. Most recently, his team has been developing laser-ablation ICP-MS in situ U-Th and U-Pb dating methods for applications in earth, environmental and archaeological research. Since 1991, Zhao have authored >350 refereed publications, won more than 50 competitive grants and contracts, supervised or mentored more than 50 research high-degree students and early-career researchers, and received one ARC APD fellowship (1995), one ARC research/QEII fellowship (1998), one UQ research excellence award (2001), one Chinese National Science Foundation distinguished overseas young scholar award (2000), and the prestigious inaugural Australian Museum Eureka Prize for Outstanding Mentor of Young Researchers (2011).

The Radiogenic Isotope Facility (RIF) that Prof Zhao took charge since 2005 is a ~200 m2 HEPA-filtered, fully-automated, ultra-clean low-blank chemistry and mass spectrometer laboratory, housing two Nu Plasma multi-collector ICP-MS instruments, two Thermo iCap-RQ and one Thermo X-series II quadrupole ICP-MS instruments, and two ASI RESOlution SE laser ablation systems for high-precision radiogenic/metal-stable isotope and trace element analysis in both solution and in situ laser-ablation modes. The facility is unique in its design and capabilities in Australia, representing one of only a small number of establishments with its level of analytical sophistication, range and quality of mass spectrometers and proven ultra-low analytical blank performance. It is widely acknowledged by peers in the field as being among of the most advanced facilities of its kind in the world. It services a multidisciplinary research community on campus, nationally and overseas in traditional earth science research, palaeoclimate, palaeoenvironmental and palaeoecological research, coral reef research, environmental science research, archaeological research, and forensic research.