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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).