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I study design as a collaborative process that materialises alternative social futures. Those futures are sometimes new products, systems, services, infrastructures and technologies. But they can also be social contracts, agreements, processes, ways of working and new possibilities for our collective lives together.

I currently lead research projects in three broad domains: designing advocacy, designing the materials of participation, and augmenting skill and expertise through design.

The designing advocacy project has worked with a range of stakeholders with reduced agency such as people with mental health needs, chronic illnesses, injured workers, and other stigmatised or at-risk groups. We have developed methods for the inclusion of their perspectives in design processes, insights about their specific conditions and needs, critical analyses of how they are conceptualised from the perspectives of technologists and service providers, and design proposals for services and technologies that amplify their agency.

The designing the materials of participation project develops formats and processes for participatory design—the inclusion of stakeholders in the design of systems that will affect the organisation of their work and life. In this project we study how technologies and systems are used in microanalytic detail, analysing how tools and materials shape people's interactions. We use this understanding as a basis for the design of new methods and processes (and sometimes new matierals) for involving people in the design process, and giving them greater autonomy over the systems they will use.

The augmenting skill and expertise through design project studies specialist work practices for the purposes of developing technology support for that work. We have worked with aeromedical teams, audiologists, passport officers, emergency first responders, quick service chefs, primary school teachers, and other professional contexts of use to understand the local and particular skills that enable those workplaces to function effectively and collaboratively. We use these understandings to inform the deisgn of technologies and work practices that support, and preserve, those core professional skills.

The constants across these projects relate to the design process—the methods used to understand people, identify design opportunities, facilitate collaboration between project stakeholders, champion users' contexts and requirements, prototype early solutions, evaluate concepts in the field, and build new technologies. This results in a variety of research contributions: new design methods and perspectives that have been tailored for specific contexts of use, identification of the potentials and limitations of different approaches to design and analysis, the discovery of context-specific issues for the design of new systems, new understandings of people, their work and contexts of use, and the design and evaluation of bespoke technologies.

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 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).