Belinda Chiera

Professor Belinda Chiera is the Deputy Director of the UniSA Industrial AI Research Centre and a Professor of Statistics (STEM). Belinda is also an adjunct faculty member at Johns Hopkins University (Zanvyl Krieger School of Arts & Sciences, Advanced Academics Programs). Her expertise spans a wide range of applications in highly complex real-world systems. Her work focuses on pattern recognition, anomaly detection, early warning systems, network modelling, contextual visualisation, data-driven decision-making, linguistics and the development of ethical frameworks for the responsible use of artificial intelligence in operational environments. Belinda's recent projects include applying advanced modelling and data analytics to Defence, space, and intelligence domains, supporting decision-making in critical and emerging technologies. She is motivated by inventive problem-solving, developing custom models and tools that combine established theory with the latest advances in real-world data analytics and systems modelling. Translation of her research is found in environmental applications including monitoring of air quality affected by vehicle and industrial pollutants, counterintelligence operations to combat terrorism, social network and social media analysis, resource management across distributed high-dimensional networks, hospital treatment programs, the Australian Football League and Defence innovation projects. Belinda has supervised numerous postdoctoral researchers and Ph.D. students in these areas, and has had a wonderful time sharing her research interests with others. She is also a passionate teacher; her focus is on taking mathematics and statistics out of the classroom and into the real world and she believes that with the right teaching approach, anyone can understand and excel in these topics. She is driven to help her students make connections between classroom material and their own worlds and tries to keep teaching light, enjoyable, and above all, relevant to industry. According to her students, she has not only made mathematics and statistics relatable to the real world, but she even manages to make it fun from time to time. As co-lead with LtGen (ret) Rick Burr AO DSC MVO (University of Adelaide) of the Defence and National Security Signature Research Theme, Belinda is working to shape research for the new Adelaide University: https://adelaideuni.edu.au/research/. AI Ethics and Governance Frameworks: Development of operational AI ethics frameworks, Human-centred and accountable AI system design, Responsible AI deployment in Defence and national security, Embedding discernment and integrity into AI governance, Strategic alignment of AI use with ethical and societal values; Pattern Recognition: Network modelling, Social networks & social media, Latent information analytics, Event modelling, Sports fatigue prediction; Anomaly Detection: Clustering, Simulation analysis and uncertainty quantification, Counter-intelligence, Detecting and characterising radiation events in space, Security threat identification and response, Undersea surveillance for maritime security; Big Data & Complex Systems: Training robotic hands for satellite repair, High-dimensional network analysis, Air quality & urban pollution modelling, Environmental impact of ENSO (El Niño Southern Oscillation); Visualisation: Big data visualisation, Supported decision-making, Reducing bias in decision-making, Improving data literacy for public engagement; Language Technology and AI-Augmented Language Learning: C-LARA: an open-source, ChatGPT-integrated platform for multilingual reading and listening skills, AI-enhanced annotation of multimedia texts for second language acquisition, Cross-linguistic support with automatic audio for diverse language groups, Applied linguistics, digital humanities, and low-resource language access with a focus on Indo-Pacific and Indigenous language communities, AI-human collaboration in software engineering and research authorship

[2026] Cirocco, L. R., Chopin, J., Chiera, B., & Boland, J. W. (2026). Long Short-Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables. ENVIRONMETRICS, 37(2), 16 pages. DOI: 10.1002/env.70084 [2025] Bédi, B., Beedar, H., Chiera, B., Chua, C., Geneix-Rabault, S., Kreusch, V., . . . Zviel-Girshin, R. (2025). AI-Generated Tailor-Made Pedagogical Picture Books: How Close Are We?. Education Sciences, 15(12), 25 pages. DOI: 10.3390/educsci15121704 [2024] Wallwork, S., Braithwaite, F. A., O'Keefe, M., Travers, M. J., Summers, S. J., Lange, B., . . . Moseley, G. L. (2024). The clinical course of acute, subacute and persistent low back pain: a systematic review and meta-analysis. Canadian Medical Association