Find an expert

Dr. Mingyuan Lu was awarded her PhD from The University of Queensland in Febuary 2014. She has previously completed a Masters of Engineering (June 2009, Materials Science and Engineering, Central South University, China), and a Bachelor of Engineering (June 2007, Materials Science and Engineering, Central south University, China).

Mingyuan has more than 10 years’ experience in research, and during this period she has gained extensive experience with material synthesis, mechanical mechanics, and material characterization including nanoindentation, nanoscratching, atomic force microscopy, electron microscopy, and focused ion beam milling (FIB); additionally,she has experience with structural and compositional analysis techniques (Raman, XRD, EDS, DTA, DSC etc.).

Mingyuan's contributions to the field of mechanical and materials engineering are listed below:

Materials mechanics

• (2015-2016) developed a new and successful FIB-machined micro-cantilever bending technique to study the fracture and interfacial properties of the protective intermetallic coatings on magnesium alloys: this technique can be applied to a wide range of materials, sub-surface structures and multilayered structures. Based on this methodology, they later developed a micro-bridge four-point bending technique. This approach can generate a “stable” interfacial delamination, and thus enables quantitative analysis of interfacial toughness.
• (2011-2014) developed an indentation-based methodology for assessing the interfacial adhesion of bilayer structures, in a joint project that was funded by WIN Semiconductor Co., Taiwan: the methodology developed has been used to test the reliability of SiN-passivated GaAs semiconductor wafer products.

Materials synthesis and processing

• (2015-current) developing a selective laser sintering process for the additive manufacturing of porous and biodegradable scaffolds, made from a biopolymer, for bone tissue engineering: this innovative process can produce scaffolds without the use of an artificial 3D model, and the scaffold has a unique interconnected pore architecture and large surface area making it suitable for bone tissue regeneration applications. The promising outcomes of the preliminary study have elicited strong support from UQ; it has received two generous internal grants (a philanthropic grant for an ECR in the field of engineering, and SEED funding) to enable further study in this field. The scaffolds will shortly be tested in a pre-clinical mouse model (funded by SEEM grant) to study biocompatibility and osteoconductivity.
• (2007-2009) developed high-performance refractory metallic materials using powder metallurgy processes: in this project, they discovered the effect of trace TiC, ZrC Carbide nanoparticles on the mechanical properties, sintering behaviour and microstructure of molybdenum alloys.

Dr. Haijiao Lu obtained her dual bachelor's degrees in Science from Nankai University (China) and in Engineering from Tianjin University (China). Then she obtained PhD degree from Tianjin University (China). During her PhD study, she also worked as a visiting PhD student at University of Cambridge (UK). She worked as a postdoctoral research fellow at the Australian National University, and then at the University of Queensland with FAA, FTSE, Australian Research Council (ARC) Laureate Fellow Prof. Lianzhou Wang. She worked as an ARC Discovery Early Career Researcher Award (DECRA) Research Fellow from January 2023 to June 2026 and currently serves as a UQ Amplify Senior Research Fellow. She will take up a Senior Lecturer position and commence her ARC Future Fellowship (2027-2030) in the School of Chemical Engineering at The University of Queensland (UQ) in 2027. Her research is characterised by an interdisciplinary approach, at the intersection of materials science, catalysis, and chemical engineering.

Dr. Lu has secured over AU$3M in competitive funding as lead CI from a variety of competitive funding sources, such as ARC (DECRA, Discovery Project, Future Fellowship), the Department of Education (AEA Ignite), ANSTO, QUEX institute and UQ internal grants. Her research excellence has been recognised through multiple honours such as UQ Foundation Research Excellence Award (2026), Nanoscale Emerging Investigator (2025), UQ EAIT Early Career Research Leadership Award (2023), UQ EAIT Early Career Research Award (2022), and the UQ Award for Research Excellence in Energy Nanomaterials (2022).

She loves working with students. She is working as lecturer for CHEE3005 (Reaction Engineering) and ENGG1500 (Thermodynamics : Energy and the Environment). In the past years, she worked as the course coordinator for CHEE7340/CHEE7380/CHEE7381/CHEE7382 (Research Thesis/Project), and lecurer for CHEE4006/CHEE4007/CHEE4026/CHEE4027 (Research Thesis/Project), and ENGY7112/7114/7115/7215 (Professional Project).

She is proud of having supervising over 15 students for undergraduate/postgraduate Research Thesis/Project/Summer project since she joined UQ, and some of these students continued to work as PhD students under her supervision. From 2026, she commences her new role as the School of Chemical Engineering Summer Research Program Coordinator.

Dr. Yuanshen Lu began his current role at the University of Queensland (UQ) as a DECRA Fellow and Lecturer in September 2019. Previously, he was a Lecturer in Mechanical Engineering at Griffith University, following several years of postdoctoral research experience at UQ. He received his PhD in Mechanical Engineering in 2015.

Dr. Lu’s primary research interests lie in energy conversion and thermo-fluids within conventional and renewable energy systems, as well as hydrogen utilization. His current work focuses on heat engines (e.g., supercritical CO₂ power cycles), turbomachinery (e.g., wind turbines), and heat management in energy systems, including applications in heat exchangers, cooling towers, ground-source heat pumps, and thermal management in hydrogen-based steelmaking processes.

Dr. Lu is actively engaged with industry and has contributed to sectors such as thermal power generation, coal seam gas, HVAC, renewable energy, and steel industry. Leveraging his expertise in advanced experimentation and modeling, he is dedicated to driving innovations in energy harvesting, power consumption, and energy savings across a range of renewable applications. Dr. Lu currently serves as UQ’s Program Leader in the Australian Solar Thermal Research Institute (ASTRI) program, leading the Power Conversion team in developing supercritical CO₂ power cycles. He is also the Deputy Director of the Centre for Multiscale Energy Systems (CMES) at UQ.

Luna is a Lecturer in Management at UQ Business School. Her research explores human-AI interaction, creativity, and feedback, with a focus on how artificial intelligence shapes human behavior and how we can collaborate with AI most effectively.

Before joining UQ, Luna completed her PhD in Management Studies at Judge Business School, University of Cambridge. She also holds a Master’s degree in Statistics from the University of California, Berkeley, and a Bachelor's degree in Psychology and Actuarial Science from the University of Illinois at Urbana-Champaign.

Dr Kristiana Ludlow is a Senior Research Fellow at the Centre for Health Services Research, Faculty of Health, Medicine, and Behavioural Sciences, the University of Queensland, and an Honorary Postdoctoral Fellow at the Australian Institute of Health Innovation, Macquarie University. She completed her Bachelor of Psychology with first class Honours in 2015, her Master of Research in Medicine and Health Sciences in 2017, and her PhD in in Health Innovation in 2020. Dr Ludlow has expertise in co-design, qualitative research and Q methodology. Her research interests include co-designing interventions and digital health tools with end-users, frailty, education, aged care, person-centred care, the role of family caregivers in care, missed care/unfinished care, and care prioritisation. She is passionate about collaborating with consumers, service users and health professionals to improve the delivery of healthcare and mental health services.

Annika Luebbe is an early career researcher with interests in rural mental health in Australia and abroad. Her works focus on strengths-based approaches to understanding the many contributions to mental health in rural, regional, and remote locations. Annika has experience in mixed-methods research, framework development, and mental health service evaluation. Her ongoing research in rural health contributes to the growing rural mental health literature, informing relevant rural solutions, policy, and practice.

Karen Luetsch's research interests focus on pharmacy and health professional education, pharmacists' attitudes and behaviours in practice and realist research in these settings. In addition patient-centred and interprofessional communication and practice are some of her past and current research topics. She is a Senior Fellow of the Higher Education Academy.

Karen completed her undergraduate pharmacy training and PhD in Germany before moving to Australia in 1995. Karen has a background in hospital pharmacy as specialist pharmacist and manager as well as in the design, management and delivery of educational initiatives to health professionals across all health care settings.

As a senior research fellow at the University of South Australia Karen is undertaking a realist review and evaluation of a major educational programme targeted at optimising the utilisation of bDMARDs in auto-immune diseases.

Over 6 years of experience in translational biomedical research, specialising in monoclonal antibody-based therapies, immuno-oncology, target discovery and theranostics in cancer. My main research focus is on targeted cancer therapies, understanding how target receptor endocytosis affects antibody drug conjugate (ADC) and radioligand therapy delivery, immune-mediated ADCC, and how combination therapies with immune checkpoint inhibitors can potentially improve therapeutic outcomes for patients.

Dr. Ye Luo received his Ph.D from the Massachusetts Institute of Technology in 2015. He received his B.S. degree from the Massachusetts Institute of Technology in 2010, majoring in Mathematics and Economics. Dr. Ye Luo’s main research interests include high dimensional econometrics/statistics, machine learning and its empirical applications in economics and finance, for example, applying AI algorithms to develop smart, adaptive automated trading systems, applying big data methods/machine learning in default risk prediction, dynamic demand prediction, etc. He also has an interest and expertise in natural language processing.

Dr. Ye Luo has research papers published/forthcoming at Econometrica, Journal of the Royal Statistical Society: Series B, American Economic Review, P&P, etc. Beyond Dr. Ye Luo’s academic research, he has a strong interest in connecting research in data science to the industry. He has given/been invited to give lectures at DiDi, ShunFeng Express, Novartis, etc.

Dr Dan Luo is a designer and architectural researcher with a strong foundation in computer science. She earned a PhD in Architecture from Tsinghua University (2019), Master of Architecture from Columbia University (2014), and an MSc in Computer and Information Technology at the University of Pennsylvania(2023).

Dr Luo’s scholarship centers on digital design and robotic construction. After practicing at the pioneering firm UNStudio, she has focused on integrating advanced fabrication technologies with design build workflows to envision the future of automated construction. Her work has been published in leading journals and conference proceedings, and the robotic systems she developed have been deployed on active building sites.

Dr Luo is also a key researcher within the ARC Advance Timber Hub, Blue Economy CRC, Sustainable Built Environment National Research Centre, and Transport Academic Partnership Project, leading projects with public agencies and academic partners. Her extensive collaborations span international networks of partners. Her projects have been exhibited at the Milan Triennial, the Architecture Center New York, and the China Millennium Monument. From 2014 to 2019, she served as Director of International Collaboration for the China Building Centre, where she curated international design competitions and educational programs for universities, developers, and government agencies.

A/Professor Bin Luo is an ARC Mid-Career Industry Fellow and Group Leader at the Australian Institute for Bioengineering and Nanotechnology (AIBN) and the School of Chemical Engineering at The University of Queensland (UQ). He received his PhD in Physical Chemistry from the National Center for Nanoscience and Technology, University of Chinese Academy of Sciences, in 2013. He joined UQ as a Postdoctoral Fellow in 2014 and subsequently secured a series of highly competitive fellowships, including the UQ Postdoctoral Research Fellowship, ARC DECRA, Future Fellowship, and Mid-Career Industry Fellowship. He currently leads a research group focused on advanced battery materials and technologies.

Research interests in Luo group mainly include

• Design of functional materials for next generation energy storage applications, including multivalent metal batteries, redox flow batteries and solid state batteries.
• Exploring new conceptual energy conversion or storage systems (e.g. flexible/micro-batteries, solar rechargeable battery).
• Revealing the structure-performance relationship of functional materials via in/ex situ investigations.
• Interaction of biomaterials and energy storage.

Yadan Luo is currently a Senior Lecturer with Data Science Discipline, School of EECS, The University of Queensland. She received her BSc degree from University of Electronic Science and Technology of China, and her PhD in Computer Science from School of ITEE, The University of Queensland in 2017 and 2021 respectively. Her research interests mainly include machine learning from imperfect data, by leveraging domain adaptation, domain generalization, few-/zero-shot learning and active learning to empower the applications in computer vision and multimedia data analysis areas. Her work of image analysis published at Pattern Recognition Journal in 2018 is placed in the top 1% of the academic field of Engineering and is recognised as a Highly Cited Paper by Web of Science. Yadan was awarded the Google PhD Fellowship 2020 as a recognition of her research in the machine learning area and her strong potential of influencing the future of technology. She was also a recipient of ICT Young Achiever Award, Women in Technology (WiT.org) 2018 and a few other research awards.

[For Prospective Students] I am continuously looking for highly-motivated Ph.D. students to work on machine learning & multimedia data analysis, specifically for addressing domain shifts and generalisation issues. Please send me your CV if interested.