Find an expert

Susan is a research academic within the Human Centred Computing group in the School of Information Technology and Electrical Engineering (ITEE). She has a B.InfoTech, Data Comms and Info Systems (Honours) awarded 1st Class. She has just submitted her thesis, and when conferred will complete her PhD degree in Information Systems Theory at QUT. Her thesis explores the dyadic phenomenon of nodes in culturally different social media networks, with implications in the design of information systems. Her research centres on Aboriginal peoples' design methods in human computer interaction; specifically within cultural learning contexts, including languages.

Susan's thesis, which explores the dyadic phenomenon of culturally different network nodes, extends social media network theories. The impact of Susan's Indigenist research extends Eurocentric designed virtual, interactive and immersive spaces and process incl. AI, XR and emerging technologies. As Ngemba Wiradjuri and grown up on Country her lived experience of social, institutional and political dimensions that impact Aboriginal peoples lives in Australia enables Susan to critically analyse and reflect on all aspects, reflexively throughout her research.

Along with esteemed national and international Indigenous academics, Susan is a Chief Investigator on the $35,000,000 ARC Centre of Excellence for Indigenous Futures and won a highly competitve Science & Technology Australia's #SuperstarsOfStem program. Susan is also a guest Academic Editor for Information Systems Journal (ISJ) and Journal of Australian Indigenous Issues (JAIIS).

Current research collaborations with Aboriginal peoples:

• explores technology as a networking tool for Ballardong/Whadjuk (urban WA) and Ngemba (very remote NSW) community members on Country and in the diaspora, including the design, build and embedding of community cultural hubs. These are Knowledge (Data) Centres that have a holistic view of ancestral and contemporary Knowledges. Cultural hubs contribute to continuing, developing, consolidating and teaching the protection rehabilitation and restoration of cultural Knowledges and artefacts. This relates to languages, environmental and ecological communities across our waters, lands and skies. Elders and Knowledge rangers connected through Drone, AI, XR technologies, identify and connect Cultural Knowledges with local, national and global initiatives, innovation and solutions. Critical to the design and development is the specific Kinship lore of each community to ensure Kinship Intellectual Property remains with the individual, family and/or community. Outcomes facilitate individual and community digital entrepreneurship centred on Aboriginal Knowledge sovereignty and economic independence for Aboriginal communities in Australia.

Professor Pierre Benckendorff is an award-winning researcher specialising in visitor behaviour, technology enhanced learning and tourism. He has held several teaching and learning leadership positions at The University of Queensland and James Cook University in Australia. His experience includes coordinating a team of teaching and learning staff, program quality assurance and accreditation, and curriculum reviews of undergraduate and postgraduate coursework programs in business, tourism, hospitality and event management. He has developed and taught undergraduate and postgraduate courses in introductory tourism management, international tourism, tourist behaviour, tourism and leisure futures, tourism transportation, tourism operations, tourism technologies, tourism analysis, business skills and marketing communications.

Pierre has been actively involved in a number of national teaching and learning projects totalling close to AUD 1 million in grant funding. In 2007, he received a national Carrick citation for outstanding contributions to student learning. Pierre was part of the national team that developed the Learning and Teaching Academic Standards for Tourism, Hospitality and Events and has continued to co-lead efforts to embed and measure these standards under the auspices of CAUTHE. He is currently the co-chair of knowledge creation for the BEST Education Network and in this capacity, has worked with the World Travel and Tourism Council to edit a book of international cases based on Tourism for Tomorrow award finalists and winners. He is the co-editor of the Handbook of Teaching and Learning in Tourism. Pierre serves regularly as an external reviewer of tourism programs in Australia and overseas institutions.

His research interests include visitor behaviour, tourism information technologies, and tourism education and training. He has authored over 80 publications in these areas in leading international journals and is a regular speaker at tourism research conferences. He is on the editorial board of several leading tourism journals and is a regular reviewer of papers. He has also co-authored one of the leading textbooks on tourism and information technology. He has served as a judge for the Queensland Tourism Awards as well as the Australian Tourism Awards. His passion for travel and tourism has taken him to some of the world’s leading theme parks and airports, the major cities of Europe and North America, the African Savannah and the bustling streets of Asia. He has also travelled extensively throughout Australia and New Zealand.

Online Profiles

• LinkedIn: http://au.linkedin.com/pub/pierre-benckendorff/5/8b7/766/
• Twitter: https://twitter.com/PBenckendorff
• ResearchGate: https://www.researchgate.net/profile/Pierre_Benckendorff
• Academia.edu: https://uq.academia.edu/PierreBenckendorff
• Google Scholar: https://scholar.google.com/citations?user=LjNJJXIAAAAJ
• UQ Researchers: http://researchers.uq.edu.au/researcher/2336

I am currently a lecturer at the University of Queensland, where I conduct research in the field of Information Retrieval. My research focuses on efficient and effective representations for large-scale search engines, including indexing, compression, and retrieval. I am also interested in understanding how to measure improvements in the end-to-end search pipeline, including system-oriented effectiveness measurements and user behaviour analysis. I have a broad interest in empirical experimentation, operating systems, data structures, and algorithms.

Previous Positions

• From February 2020 to January 2022 I worked as a postdoctoral research fellow on an ARC discovery project with Professor Alistair Moffat at the University of Melbourne.
• I completed my PhD at RMIT University under the guidance of Professor J. Shane Culpepper and Professor Falk Scholer.

Dr Moni holds a PhD in Artificial Intelligence & Data Science in 2014 from the University of Cambridge, UK followed by postdoctoral training at the University of New South Wales, University of Sydney Vice-chancellor fellowship, and Senior Data Scientist at the University of Oxford. Dr Moni then joined UQ in 2021. He also worked as an assistant professor and lecturer in two universities (PUST and JKKNIU) from 2007 to 2011. He is an Artificial Intelligence, Computer Vision & Machine learning, Digital Health Data Science, Health Informatics and Bioinformatics researcher developing interpretable and clinical applicable machine learning and deep learning models to increase the performance and transparency of AI-based automated decision-making systems.

His research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving humans explainable AI models through feature visualisation and attribution methods. He has applied these techniques to various multi-disciplinary applications such as medical imaging including stroke MRI/fMRI imaging, real-time cancer imaging. He led and managed significant research programs in developing machine-learning, deep-learning and translational data science models, and software tools to aid the diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His research interest also includes developing Data Science, machine learning and deep learning algorithms, models and software tools utilising different types of data, especially medical images, neuroimaging (MRI, fMRI, Ultrasound, X-Ray), EEG, ECG, Bioinformatics, and secondary usage of routinely collected data.

• I am currently recruiting graduate students. Check out Available Projects for details. Open to both Domestic and International students.

Javad Pool is a Postdoctoral Research Fellow at The University of Queensland. He completed his PhD in Business Information Systems at UQ Business School in 2022, with a focus on data privacy and the effective use of information systems, specifically in the digital health context. By employing a combination of qualitative and quantitative research methodologies, Javad has conducted studies in a wide range of organizational and technological contexts, including healthcare, artificial intelligence, digital health, and social media. His work includes the development of inductive and theory-driven models, contributing to the existing body of knowledge on the effective use of information systems and health informatics research. Passionate about collaboration, Javad seeks to engage with diverse stakeholders, encompassing multidisciplinary researchers, industry professionals, and government partners, to advance research on information resilience and data protection practices. His research endeavors to better understand and address socio-technical challenges within information systems use, including data governance, privacy risks, cybersecurity, data breaches, data protection, misinformation, and responsible use of data.

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).