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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 in the School of Psychology at the University of Queensland, Australia. He obtained his Ph.D. in social psychology from the University of Southern California in 1994. After that, he worked as a post-doctoral fellow in cognitive and behavioral neuroscience at USC and then a year as a research scientist at Texas A&M in the Environmental Psychophysiology Laboratory. He had short-term appointments at Emory University after that. In 2000, he was appointed as an Assistant Professor at Georgia State University, where he worked as a lecturer until 2007. He then left Georgia State as an Associate Professor to take up his current position. His research interests lie in the social neuroscience of emotion and intergroup prejudice, and his studies have incorporated several kinds of psychophysiological and neuroimaging methods. His latest projects focus on 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 Andrew White's research interests are in the field of quantum information, quantum optics, and all aspects of quantum weirdness. More details are included on the Quantum Laboratory website.

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 180 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 and leads the Future Technologies Thread of the ARC Centre of Excellence for the Dynamics of Language (CoEDL).

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 a cross disciplinary course ”Voyages in Language Technologies” that introduces computing students to the diversity of the worlds 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

Research into advanced computer architectures

John Williams, born in 1973, was awarded his Ph.D from the Queensland University of Technology (QUT), Australia, in 2001. He was previously awarded undergraduate degrees in Electronic Engineering, and

Information Technology, also from QUT, in 1995. He is currently employed in the School of ITEE at The University of Queensland, Brisbane, Australia, where he holds the position of Research Fellow.

His research interests include reconfigurable computing and real-time embedded Systems, as well as 3D computer vision and imaging. He has authored 5 refereed journal publications, and more than 20 refereed conference publications, and recently edited the Proceedings of the 2004 IEEE International Conference on Field Programmable Technology. He has been a member of the IEEE for 8 years.

Dr. Ian Wood’s research interests are in classification, bioinformatics, stochastic optimisation, machine learning and mixture models.

He received his PhD from the University of Queensland in 2004.

As a nursing informatics researcher, I believe in the power of digital health to improve the experiences of patients and clinicians, reduce healthcare expenditure, and improve population health. My research program focuses on safe, effective, and equitable digital transformation of the Queensland Health system. My previous experiences as a cardiac Clinical Nurse Specialist within the acute healthcare system and government official at the Australian Digital Health Agency, uniquely position me as a strong leader in my field, drawing on industry and government experiences to drive my translational research program. As a Fellow of the AIDH and emerging leader in the Australian digital health community and am often invited to present on digital health, clinician-led innovation and health services research. My work has been recognised by multiple awards; The University of Queensland's Promoting Women Fellowship; the Joan Edgecumbe Scholarship, the Health Informatics Society of Australia’s emerging health informatics leader award; Health Informatics Society of Australia Branko Cesnik Best Student Academic Paper award; the Moya Conrick prize for best submitted paper and presentation at the Nursing Informatics Australia Conference; and the Vice-Chancellors Leadership Award at the University of Tasmania. I remain passionate about clinician-led healthcare improvement and the advancement of nurses to lead change in research institutions, government and health services. I currently supervise PhD and Honours students, and conduct peer-previews for various academic journals that cross the domains of digital health and health services research. 

I am an interaction designer.

I have an interest in design research and methods and their application to the design of technology. I believe that co-design/participatory design and human-centered design are critical approaches to ensuring that technology will truly serve the people who will be using or impacted by that technology.

A significant proportion of my work involves working with people living with dementia and post-stroke aphasia. Much of this work focuses on accessibility, usability and acceptability with the aim of creating technological solutions that are not only functional but also recognise and respond to people's intrinsic needs and experiences. A key aspect of my recent work is exploring acceptability and its ties to the Social Self-Determination model of people's needs. Through this I am looking at User Experience through a different lens, seeking to develop an understanding of how this model of people's needs can support a meaningful and impactful experience.

My interests extend across design theory and practice, human-computer interaction and user experience, and the application of the theory of these domains into practical and novel contexts. When designing technology that is to be used in everyday or applied contexts, I believe it is important to think beyond the technology itself. Therefore, in my research so far, I have worked in multidisciplinary teams crossing speech pathology, occupational therapy, computer science, and psychology. I am also committed to ensuring that technology and the process of designing technology is ethical.

Dongming Xu is Associate Professor in Business Information Systems at the UQ Business School. She holds a PhD from the City University of Hong Kong in Information systems.

Dr Xu’s research focuses on the confluence of information technology use and information technology innovation to reach a deep understanding of how information systems are used and how information systems influence the society. In recent years, she primarily works on IT entrepreneurship that focuses on the understanding of hi-tech start-ups development and the relationship between IT innovation and business performance. In the meantime, she has been working in the area of social media use in business, such as, disaster management, eFinance, eHealth. Thus research interests lay in the areas of message transmission, information quality control, and decision making infrastructure etc.

The other research interests include decision making and business intelligence on a variety of contexts, such as theoretical foundations, applications, and technologies, such as intelligent agents, data mining, etc. In particular, she is working on eFianance applications, web-server-agent-based family wealth management systems, decision support systems for securities exception management, knowledge management systems and disaster management systems. Her research usually combines theoretical model building, laboratory and field experiments and the development of prototype systems.

Dongming's previous research outputs have been published in more than 100 top tier journals and conference proceedings, such as IEEE Transaction on Knowledge and Data Engineering, Information and Management, Decision Support Systems, and the Expert Systems with Applications, International Conference on Information Systems, etc. Dr. Xu as a Chief-Investigator or a Co-Investigator received multiple grants from different research agencies, such as, Hong Kong Government Research Grant Council, The National Natural Science Foundation of China, The University of Queensland, City University of Hong Kong, Shenzhen (China) State Research Council.

Currently, she is an Associate Editor with Information & Management, Journal of Electronic Commerce Research, Australasian Journal of Information Systems, among others.

Professor Guido Zuccon is a Professorial Research Fellow at The University of Queensland, Electrical Engineering and Computer Science School, the AI DIrector for the Queensland Digital Health Centre (QDHeC), an Affiliate Professor at the UQ Centre for Health Services Research, Faculty of Medicine, and an Honorary Reader at Strathclyde University (UK). He leads the Information Engineering Lab (ielab), a research team working in Information Retrieval and Health Data Science. He was an ARC DECRA Fellow (2018-2020).

Guido's main research interests are Information Retrieval, Health Search, Formal Models of Search and Search Interaction, and Health Data Science. He has successfully attracted funding from the ARC via an ARC Discovery Early Career Research Award Fellowship and an ARC Discoverty Project. His research has also been funded by Google (Google Research Awards program), Grain Research and Development Corporation (GRDC), Microsoft (Microsoft Azure for Research Award), the CSIRO (research gifts and PhD Students Top-up scholarships), the Australian Academy of Science (FASIC program), the European Science Foundation, and Neusoft Corporation.

Guido has published more than 100 peer-reviewed research articles at conferences and in journals, in information retrieval and health informatics; of these more than 30 are ranked in the top 10% of his filed (field weighted average) and more than 10 are ranked in the top 1%. He has won best papers award at AIRS 2017 (“Automatic Query Generation from Legal Texts for Case Law Retrieval”), CLEF 2016 (“Assessors agreement: A case study across assessor type, payment levels, query variations and relevance dimensions”), ALTA 2015 (“Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction”), and ECIR 2012 (“Top-k retrieval using facility location analysis”). His research on people using search engines to seek health advice on the web has been widely disseminated by the media (190+ national and international newspaper articles, 10+ TV and radio interviews in 2015; see the media page coverage for that project). Guido is the Consumer Health Search task leader for the CLEF eHealth Evaluation Lab, since 2014. He is one of the TREC 2019 Decision Track organisers: this is an international evaluation effort in Information Retrieval that aims to investigate how people use search engines to make decisions (with a focus in 2019 on consumer health search). Guido has provided scientific tutorials to other researchers in his field at ACM SIGIR 2015 and 2018, ACM CIKM 2015, ACM ICTIR 2016, RUSSIR 2018, WSDM 2019.

Guido has reviewed for top journals and conferences in his field, including ACM TOIS, FnTIR, JASIST, IRJ, ACM TIST, ACM TWEB, IP&M, ACM SIGIR,ACM CIKM, ACM ICTIR, ACM WSDM, WWW, ECIR, ACM SIG-PODS. He was awarded the Best Reviewer Award at ECIR 2014. He has served as general chair, program chair, workshop chair and publicity chair for conferences in his research field, including ADCS (either PC Chair or General Chair in 2013, 2014, 2017), AIRS 2015 (General Chair), ECIR 2015 (Workshop Chair) and WSDM 2019 (publicity chair). Dr Zuccon is the Information co-Director for ACM SIGIR and was one of the recognised IR leaders invited to participate to the 3rd Strategic Workshop in Information Retrieval (SWIRL III, 2018).

Before joining the University of Queensland, Guido was a Lecturer (2014-2017) and Senior Lecturer (2017-2018) at the Queensland University of Technology, Australia, and a Post Doctoral Research Fellow at the Australian E-Health Research Centre (AEHRC), CSIRO (2011-2014), Australia. He received a Ph.D. in Computer Science at the University of Glasgow, UK (2012), focusing on Formal Models of Information Retrieval based on Quantum Theory, and a M.Comp.Eng. summa cum laude at the University of Padova, Italy (2007).