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Susan Beetson is a Ngemba Computer Science researcher, practitioner, and educator, who grew up in very remote Aboriginal communities of Brewarrina and Gongolgon. Susan has 30 years' experience in corporate computer science and information technology management and ten years in higher education as an educator in Information Systems and Interactive Technologies in computer science and human centred computing, and Aboriginal value systems and Knowledges in Indigenous studies. As an Academic in UQ's School of Electrical Engineering and Computer Science, and a chief investigator in the Australian Research Council Centre of Excellence for Indigenous Futures.

Susan's team explores digital rights management to facilitate Traditional Custodians' perpetual royalties and retaining Indigenous Cultural Intellectual Property, toward economic independence. Susan is a Fellow with the Australian Internet Governance Forum and collaborates with Pacific Islander peoples to bring Indigenous value systems and perspectives to the structures, standards, and systems that underpin internet governance.

Susan's PhD thesis, which explored the dyadic phenomenon of culturally different network nodes, extending 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).

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

Dr Caitlin Curtis is a research specialising in responsible AI, applied ethics, and emerging technologies. She leads national collaborations on AI governance and digital rights, shapes public policy and discourse, and created one of Australia’s first Responsible AI university courses.

Dr Curtis is a recipient of the 'ABC Top 5 Scientist Media Residency Award', and the Australian Institute of Science & Policy Tall Poppy Science Award', recognizing excellence in both research and science communication.

Teaching

• Caitlin currently teaches the UQ Master of Business Analytics course: Responsible Artificial Intelligence - which looks at the ethical, legal, and social issues relating to AI and automated systems.
• She also lectures into Responsible Management for the Global Economy, particularly around the ethical and responsible management of artificial intelligence and similar technologies.

She also coordinates and moderates the UQ AI Collaboratory's 'Ask Me Anything about AI' series, which is a unique forum that brings together panellists with technical expertise in artificial intelligence, along with experts from across social science, communication, policy, or law to answer audience questions and spark multidisciplinary discussion around important topics relating to AI systems, including: AI social media predictions, facial recognition systems, misinformation and AI, and deep learning.

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.

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 30 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 diverse methodological 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, speculative design.

Stephen is an Associate Professor in the School of Electrical Engineering & Computer Science (EECS), where he leads the Human-Centred Computing discipline. He is also UQ's Theme Leader for the Digital Worlds and Disruptive Technologies theme in the QUEX Institute, and national chair of CHISIG, the Computer-Human Interaction Special Interest Group of the Human Factors and Ergonomics Society of Australia (HFESA). From 2016-2019 he was the EECS (ITEE at the time) 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).