Find an expert

Professor Gemma Sharp Gemma leads the Body Image & Eating Disorders Research Program at the School of Psychology at The University of Queensland. She also holds an adjunct position at Monash University where she and her research program were based from 2018 to 2024.

She holds a Bachelor of Science in Molecular Biology (University of Adelaide), Bachelor of Science Honours degree in Microbiology and Immunology (University of Adelaide), a Masters degree in Oncology (University of Cambridge), a Diploma in Languages in Japanese (University of Adelaide), a Graduate Diploma in Psychology (University of Adelaide), a Bachelor of Behavioural Sciences Honours degree in Psychology (Flinders University) and a PhD in Clinical Psychology (Flinders University). Her research career in both Medical Science and Mental Health has seen her study and work in Australia, Japan and the UK.

Professor Sharp was awarded a PhD from Flinders University in Adelaide in 2017 which investigated the psychological predictors and outcomes of female genital body image concerns and cosmetic genital surgery. She worked as a Post-Doctoral Research Associate and Academic at Curtin University in Perth and extended this genital self-image research to other genders. She continues this genital self-image research program across the gender spectrum.

Professor Sharp then commenced an NHMRC Early Career Research Fellowship at Monash University (2018-2022) and more recently an NHMRC Emerging Leadership 2 Fellowship at Monash University (2023-2024) and The University of Queensland (2024-2027). See full grant/project listing here.

Professor Sharp and the program she heads investigate the factors leading to body image concerns, eating disorders and related issues and novel therapeutic interventions to address these concerns, including digital technologies such as chatbots like JEM(TM) and mobile apps. She has led collaborative technical and commercial projects with national eating disorder support organisations across the globe (e.g., JEM(TM) in North America with NEDIC). She also led the development of a world-first online educational resource to explain the intersection of eating disorders and menopause.

Professor Sharp is the lead of the international Consortium for Research in Eating Disorders (CoRe-ED) which brings together all key voices in eating disorder and related research on a global scale to improve eating disorder and related care. The consortium was officially launched on 25th September 2024 in Melbourne, Australia. The University of Queensland is a key partner of CoRe-ED. Everyone is welcome to join CoRe-ED free of charge by registering here to access to the already extensive network and resources on offer.

Professor Sharp's research has received extensive coverage on mainstream media and she makes very regular appearances on television, radio and in print. She was named one of ABC Radio National's Top 5 Under 40 Scientists and also was invited to deliver a TED talk in Brisbane. See full media listing here.

Professor Sharp has already received more than 80 award/honours in her tertiary career (see full listing here). Most recently, she won the Australian Psychological Society's College of Clinical Psychologists Ian M Campbell Memorial Prize (2024), Australian Academy of Health and Medical Sciences (AAHMS) Mentee Honour (2024), an international finalist for the Robert Greenblatt International Menopause Society Award (2024), Australian Psychological Society Media Award for Public Engagement with Psychological Science (2023), Academy of the Social Sciences in Australia Paul Bourke Award for Early Career Research (2022), Rising Star for the Association for Psychological Science (2021), two time national finalist for the Bupa Health Foundation Emerging Researcher Award (2021, 2019), Flinders Universiry Early Career Alumni Awardee (2021), one of The Educator's Rising Stars (2020), Australian Psychological Society Early Career Researcher Awardee (2020), and a national finalist for a Eureka Prize (2020).

In addition, Professor Sharp is a registered clinical psychologist and has had clinical experience in the public and private sectors in Adelaide, Perth, Melbourne and now Brisbane. She has and continues to lead her own private practice since 2019. She is a Credentialed Eating Disorder Clinician (CEDC) and a Board Approved Supervisor with the Psychology Board of Australia.

Professor Sharp and her research played key roles in the the National and Victorian State Eating Disorder strategies (2023/2024). Furthermore, she was the lead expert for the national clinical practice guidelines for the psychological evaluation of patients undergoing cosmetic procedures in 2018 and 2023. She launched a health professional online short course addressing psychological assessments for cosmetic patients in 2024. Please email Professor Sharp for more details about this course.

I am a passionate researcher with a background in computer science and a strong commitment to leveraging technology for the betterment of society. I hold a PhD in Image Forensics and have had the privilege of conducting postdoctoral research at prestigious institutions such as SUNY Albany and Dartmouth College, where I had the opportunity to collaborate closely with Prof. Hany Farid.

During my postdoc at Dartmouth College, I focused my research efforts on addressing a critical societal issue - real-time child pornography detection. This research not only garnered recognition within the academic community but also earned praise from luminaries like Prof. Ramesh Raskar at MIT, who invited me to share my insights through a talk at MIT.

I primarily works in the area of Cyber Security, Digital Forensics, Privacy and Security Aspects, Homomorphic Encryption and Cloud Computing.

As I continue my research journey, I remain committed to making a positive impact through innovation and collaboration. I am excited about the opportunities that lie ahead and the potential for technology to create a safer and more inclusive world.

Associate Professor Graeme Smith has over 100 publications in the area of formal, i.e., mathematically based, design and analysis of software and software-based systems. His seminal work on formal object-oriented modelling has found application in the telecommunications and railways sectors, and that on real-time embedded systems in the Defence sector. He has worked at the Software Verification Research Centre (Australia), GMD First (Germany), the Technical University of Berlin (Germany), and the Centre de Recherche en Informatique de Nancy (France). Since his current appointment at The University of Queensland, he has led 3 ARC Discovery Grants on formal design and analysis of fault-tolerant systems, distributed autonomous systems, and lock-free concurrent algorithms, respectively. He currently leads a research cell of the Defence Science and Technology Group focussed on formal security analysis of concurrent code.

I am an Adjunct Research Fellow who works between the UQ School of EECS and CSIRO. I am passionate about design and technology that makes a positive impact to sustainability, and building better relationships between people, their personal data and the energy they consume. My work seeks to understand the role of data visualisations in building energy literacy and balancing energy efficiency and adequate ventilation/indoor air quality (IAQ). I lead the Study Fresh program at UQ which has engaged over 650 students across 20 schools in hands-on workshops towards building IAQ monitors and learning how to identify and remedy poor IAQ in classrooms. I hold grants related to improving farmers' experience in electricity retailer switching, regional energy resilience and have run a two-year study examining longitudinal engagement with energy use feedback. My research involves mixed methods including ethnography, co-design, speculative design, in-situ monitoring and data analysis to inform the design of visualisations to improve energy literacy. I have applied these methods to case studies in the UK and Australia and completed over 200 audits as a building sustainability assessor under the Australian Government’s Green Loans scheme (2009-2012).

Dr Hongfu Sun completed his PhD in Biomedical Engineering at the University of Alberta in 2015, followed by postdoctoral training in Calgary until 2018. He joined the Imaging, Sensing and Biomedical Engineering team in the School of ITEE at UQ in 2019 and was awarded the ARC DECRA fellowship in 2021. His research interests include developing novel magnetic resonance imaging (MRI) contrast mechanisms, e.g. Quantitative Susceptibility Mapping (QSM), fast and multi-parametric MRI acquisitions, and advanced image reconstruction techniques, including deep learning and artificial intelligence, to advance medical imaging techniques for clinical applications.

Dr Sun is currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students.

Dr Aaron Tkaczynski is a Senior Lecturer in both tourism and events in the School of Business in the Faculty of Business, Economics & Law. He has been employed at the University of Queensland in a research capacity since 2009. Since 2021 he has also had an extra-ordinary Associate Professor position in the Tourism Research in Economics, Environs and Society (TREES) department at North-West University in Potchefstroom in South Africa. Aaron's research expertise and experience stems from market segmentation modelling. He publishes within journals such as Tourism Management, Journal of Sustainable Tourism, Annals of Tourism Research and the Journal of Travel Research. Dr Tkaczynski is also very interested in tourism seasonality, eco-certification, nature-based tourism, social marketing and small-scale festivals. Aaron is also a Christian and actively researches and volunteers for many Christian orientated events such as festivals and leadership conferences. Prior to academia, Aaron was employed in local government (Hervey Bay City Council, Redland Shire Council and the Local Government Association of Queensland).

Dr. Kelvin Tuong is a Senior Research Fellow/Group Leader at the Ian Frazer Centre for Children’s Immunotherapy Research (IFCCIR), Child Health Research Centre. He is interested in single-cell analysis of immune cells and harnessing adaptive immune receptors for understanding immune cell development and function in health and in cancer.

Dr. Tuong was born and raised in Singapore and moved to Brisbane, Australia, after completing national service in Singapore and obtaining a Diploma in Biomedical Laboratory Technology (Ngee Ann Polytechnic).

Dr. Tuong was originally trained as a molecular cell biologist and gradually transitioned into bioinformatics during his post-doctoral training. He has been very prolific for an early career researcher, having published >50 articles since 2013, with nearly a third of them as first/co-first or last author and has a stellar track record of pushing out highly collaborative work in prestigious journals including Nature, Cell, Science, Nature Medicine, Nature Biotechnology J Exp Med etc. He has the rare combination of having excellent laboratory and bioinformatics skill sets which provide him a strong command of both fundamental immunology and computational approaches.

Dr. Tuong completed his undergraduate Bachelor's degree in Biomedical science with Class I Honours, followed by his PhD in macrophage cell biology and endocrinology at UQ (Prof. Jenny Stow lab and Emiritus Prof. George Muscat lab, IMB, UQ). He then went on to a post-doc position with Emiritus Prof. Ian Frazer (co-inventor of the Gardasil cervical cancer vaccine, UQ Frazer Institute, Translational Research Institute) where he worked on HPV immunology, cervical cancer and skin cancer. In his time in the Frazer lab, he developed an interest in bioinformatics analyses as a means to tackle and understanding immunology problems in health and disease. He then moved to the UK and joined Prof. Menna Clatworthy's lab at the University of Cambridge and Dr. Sarah Teichmann's lab at the Wellcome Trust Sanger Institute. He has focused his interests on single-cell analyses of tissue immune cells, including T and B cells and their specific receptors (TCR/BCR). He has developed bespoke bioinformatics software, including one tailored for single-cell B Cell Receptor sequencing analysis, Dandelion, which he used in one of the largest combined single-cell transcriptomic, surface proteomic and TCR/BCR sequencing dataset in the world, published in Nature Medicine, and more recently in Nature Biotechnology where we introduced a TCR-based pseudotime trajectory analysis method.

Dr. Tuong is now leading the Computational Immunology group at the IFCCIR and his lab is focused on investigating how pediatric immunity is perturbed during cancer at the cellular level and how this information can be used for creating novel warning systems for children with cancer. For potential students/post-docs/trainees interested in joining the team, please contact Dr. Tuong at z.tuong@uq.edu.au.

Bikesh Raj Upreti is a Lecturer in the Department of Business Information Systems at the University of Queensland (UQ) in Brisbane, Australia. He completed his doctoral degree from Aalto University School of Business, Helsinki. His doctoral dissertation, " Untangling the Application of Text-mining Methods in Information Systems Domain", focused on developing applications to uncover insights from the large-scale text data. After graduating, he continued as a postdoctoral researcher and visiting scholar at the Department of Information Service Management, Aalto Business school, before joining the University of Queensland.

Bikesh's research interests are in the areas of applied computational methods and quantitative inquiry of inter-disciplinary phenomena. He has applied advanced machine learning, deep learning and other analytical tools for large-scale behavioural and predictive analytics set in Information systems, marketing, finance, and political discourses. His work has been published in several journals (European Journal of Information systems, Industrial Marketing Management, Journal of Travel Research, Electronic Markets) and peer-reviewed conference proceedings (ICIS, HICSS, and Bled).

His work has won the inaugural edition of the Paper-at-hon competition at ICIS 2017, the Best paper award at the Bled conference 2019, and the nomination for the best paper award at HICSS 2020. He also actively serves as a reviewer for the journals such as (European Journal of Information systems, Decision Sciences, Internet research and Information & Management, and International Journal of Information Management) and conferences (ICIS, ECIS, HICSS, AMCIS, PACIS).

Associate Professor Mark Utting's research interests include software verification, model-based testing, theorem proving and automated reasoning, programming language design and implementation. He received his PhD from UNSW on the semantics of object-oriented languages, and since then has worked as an academic at several Queensland universities, as well as Waikato University in NZ and the University of Franche-Comte in France. He is passionate about designing and engineering good software that solves real-world problems, has extensive experience with managing software development projects and teams both in academia and industry, and has worked in industry, developing next generation genomics software and manufacturing software. He is author of the book ‘Practical Model-Based Testing: A Tools Approach’, as well as more than 80 publications on model-based testing, software verification, and language design and implementation. His current research focus is on using software verification to give strong guarantees about the correctness of compilers, correctness of blockchain smart contracts, freedom from information leaks of ARM64 binary programs, and the correctness of AI-generated code.

Radislav (Slava) Vaisman is a faculty member in the School of Mathematics and Physics at the University of Queensland. Radislav earned his Ph.D. in Information System Engineering from the Technion, Israel Institute of Technology in 2014. Radislav’s research interests lie at the intersection of applied probability, statistics, and computer science. Such a multidisciplinary combination allows him to handle both theoretical and real-life problems, in the fields of machine learning, optimization, safety, and system reliability research, and more. He has published in top-ranking journals such as Statistics and Computing, INFORMS, Journal on Computing, Structural Safety, and IEEE Transactions on Reliability. The Stochastic Enumeration algorithm, which was introduced and analyzed by Radislav Vaisman, had led to the efficient solution of several problems that were out of reach of state of the art methods. In addition, he is an author of 3 books with three of the most prestigious publishers in the field, Wiley, Springer, and CRC Press. Radislav serves on the editorial board of the Stochastic Models journal.

Eric Vanman is a Professor at the University of Queensland's School of Psychology in Australia. He earned his Ph.D. in social psychology from the University of Southern California (USC) in 1994. Following that, he served as a post-doctoral fellow specialising in cognitive and behavioural neuroscience at USC, then spent a year as a research scientist in the Environmental Psychophysiology Laboratory at Texas A&M. He also held short-term positions at Emory University before being appointed an Assistant Professor at Georgia State University in 2000, where he taught until 2007. He then transitioned from Georgia State as an Associate Professor to his current role. His research centres on the social neuroscience of emotion and intergroup prejudice, utilising various psychophysiological and neuroimaging techniques. Currently, he is focused on projects involving social robots and social media.

Human-centred design of interactive systems

Stephen Viller is a researcher and educator in human-centred design methods, particularly applied to designing social, domestic and mobile computing technologies, and understanding how people's interactions in everyday settings inform the design of such technologies. He has over 20 years of experience in Computer Supported Cooperative Work (CSCW), Interaction Design, and Human-Computer Interaction (HCI) research, where he has focused on bridging disciplines and perspectives. He has concentrated on qualitative methods, particularly observational fieldwork, contextual interviews, diary studies and field trips, but also increasingly on more ‘designerly’ approaches such as cultural probes, low-fidelity prototypes, rapid prototyping and sketching.

Stephen is an Associate Professor and leader of the Human-Centred Computing discipline in the School of Electrical Engineering & Computer Science, and UQ's Theme Leader for the Digital Worlds and Disruptive Technologies theme in the QUEX Institute. From 2016-2019 he was the Director of Coursework Studies (Chair of T&L committee) and from 2011-2016 he was Program Director of the Bachelor of Multimedia Design and Master of Interaction Design. His publications span various interdisciplinary journals and conferences in HCI/CSCW and technology design. He has a BSc (Hons) Computation (UMIST), MSc Cognitive Science (Manchester) and PhD Computing (Lancaster).

Dr T. Thang Vo-Doan is a Lecturer of the School of Mechanical and Mining Engineering at the University of Queensland. He was a postdoctoral researcher at the Institute of Biology I, University of Freiburg, Germany (2019-2023). He was also a Research Fellow at Nanyang Technological University (NTU), Singapore (2016-2018). He was awarded his PhD in Mechanical Engineering from the School of Mechanical & Aerospace Engineering, NTU in 2016. He received his M.Eng. degree in Manufacturing Engineering and B.Eng. degree in Mechanical Engineering from Ho Chi Minh City University of Technology, Vietnam in 2010 and 2008 respectively. He was awarded the prestigious Human Frontier Science Program Cross-disciplinary Fellowship (2019-2022).

He directs the UQ Biorobotics lab after joining in the University of Queensland. Current research activities of the lab focus on insect-machine hybrid robots, bio-inspired robotics, insect structures and functions, biomechanics, fast lock-on tracking, and brain imaging in untethered insects.

Dr. Dhaval Vyas is a Senior Lecturer in the Human-Centred Computing discipline - a former ARC DECRA Fellow (2018-2022) and. He is a part of the Compassion Lab research group. His research spans the areas of Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW). In particular, he focuses on designing IT tools to support health and wellbeing of under-resourced communities. He has worked in academia and industry for over 15 years. He received a PhD in Human-Computer Interaction from University of Twente, the Netherlands; a master’s degree in Computer Science from Lancaster University, UK; and an undergraduate degree in Computer Science from Gujarat University, India.

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.

Professor White is Director of the Australian Research Council Centre of Excellence in Engineered Quantum Systems, an Australian Research Council Laureate Fellow, and leads the Quantum Technology Laboratory at UQ, which he established in 1999. He is internationally recognised for research in quantum science and technology, and is interested in all aspects of quantum weirdness. He is a Fellow of the Australian Academy of Science, the American Physical Society, and Optica. Andrew’s research spans: quantum foundations; production, manipulation and exploitation of quantum states of light, both in conventional optics and nanophotonics; and utilising quantum technology, be it in quantum computation, quantum communication, quantum sensing, or neuromorphic computing. Details can be found at the Quantum Laboratory website.

Professor White has worked with twenty-one postdoctoral researchers since 2001, five of whom received ARC Discovery Early Career Researchers Awards whilst working in his lab, six receiving Marie Skłodowska-Curie Fellowships subsequently and one a Erwin Schrödinger Fellowship. He has supervised more than 40 postgraduate students, who have received an array of awards including a Rhodes Scholarship, three Springer PhD thesis prizes, Australian representative at the Lindau Nobel Meeting, the only-ever runner for the Australian Institute of Physics Bragg Medal, and UQ Medals and Valedictorian, to name but a few.

Bio: Andrew was raised in a Queensland dairy town, before heading south to the big smoke of Brisbane to study chemistry, maths, physics and, during the World Expo, the effects of alcohol on uni students from around the world. Deciding he wanted to know what the cold felt like, he first moved to Canberra, then Germany—completing his PhD in quantum physics—before moving on to Los Alamos National Labs in New Mexico where he quickly discovered that there is more than enough snow to hide a cactus, but not nearly enough to prevent amusing your friends when you sit down. Over the years he has conducted research on various topics including shrimp eyes, nuclear physics, optical vortices, and quantum computers. He likes quantum weirdness for its own sake, but his current research aims to explore and exploit the full range of quantum behaviours—notably entanglement—with an eye to engineering new technologies and scientific applications. He is currently Director of the Centre of Engineered Quantum Systems, an Australia-wide, 14-year long, research effort by more than 250 scientists to build quantum machines that harness the quantum world for practical applications.

Janet Wiles is a Professor in Human Centred Computing at the University of Queensland.

Her multidisciplinary team co-designs language technologies to support people living with dementia and their carers and social robots for applications in health, education, and neuroscience.

She received her PhD in computer science from the University of Sydney, and completed a postdoctoral fellowship in psychology. She has 30 years’ experience in research and teaching in machine learning, artificial intelligence, bio-inspired computation, complex systems, visualisation, language technologies and social robotics, leading teams that span engineering, humanities, social sciences and neuroscience. She currently teaches research methods for thesis and masters students, and is developing a new course in human-centred AI. Previous special interest courses include a cross disciplinary course ”Voyages in Language Technologies” that introduced computing students to the diversity of the worlds of Indigenous and non-Indigenous languages, and state-of-the-art tools for deep learning and other analysis techniques for working with language data.

Featured projects

• Human-centred AI
• Florence communication technology
• For more on Human Centred Computing see the HCC projects page