Dr Lin Yue is a Lecturer at the University of Adelaide , affiliated with the Faculty of Sciences, Engineering and Technology and the School of Computer and Mathematical Sciences . She earned her PhD from Jilin University, with part of her doctoral studies completed as a joint PhD candidate at the University of Queensland. Past affiliations: Northeast Normal University, University of Queensland, University of Newcastle Her research focuses on Sequential Data Analysis and its applications in Medical Data Analytics, EEG Data Analysis, Brain-Computer Interfaces, Social Media Data Analytics, and Sentiment Analysis . She collaborates with academia, government, and professional organizations, supported by internal and external research grants. Dr Yue is eligible to supervise Masters and PhD students as a Co-Supervisor and contributes to advancing data mining and machine learning techniques in healthcare and time series analysis.
Rachel Nordlinger is a Professor of Linguistics and Director of the Research Unit for Indigenous Language at the University of Melbourne's School of Languages and Linguistics. Her research focuses on documenting and describing Australian Indigenous languages, with a particular emphasis on syntactic and morphological theory. She has conducted extensive fieldwork with communities speaking Bilinarra, Wambaya, Gudanji, Murrinhpatha, and Marri Ngarr, contributing to language preservation efforts. She holds a PhD from Stanford University and has authored influential works including A Grammar of Wambaya and co-edited volumes like The Languages and Linguistics of Australia . Nordlinger is a Fellow of the Australian Academy of Humanities (2017) and leads major grants like the ARC Centre of Excellence for Dynamics of Language (2014-2026). Her work integrates linguistic theory with community-driven language revitalization projects, emphasizing the interconnectedness of language and cultural knowledge. Key research grants include projects on polysynthetic language processing (2021-2025), Indigenous language documentation, and cross-linguistic syntactic analysis. Nordlinger collaborates with institutions such as PARADISEC and the Kanamkek-Yile Ngala Museum to preserve endangered language materials. Her interdisciplinary approach bridges formal linguistic analysis with applied community linguistics.
Dr Vu Minh Hieu Phan is a Research Fellow at the Australian Institute for Machine Learning , University of Adelaide. His work focuses on foundational models, multimodal learning, and medical image analysis, leveraging deep learning and large language models. Research Interests : Medical Image Analysis, Vision-Language Models, Generative AI, Semantic Segmentation, Continual Learning, Knowledge Distillation. Key Venues : CVPR, ACL, EMNLP, IJCAI, MICCAI, NeurIPS, TPAMI, and IJCV. Notable Contributions include advancements in multimodal learning for medical imaging, explainable AI frameworks, and efficient knowledge distillation techniques. He serves as a reviewer for top-tier journals and conferences. Email : vu.minhhieu.phan@adelaide.edu.au
Scott Barnes is Head of the Department of Linguistics and Course Director of the Master of Speech and Language Pathology at Macquarie University. He leads the Macquarie Linguistics Conversation Analysis Lab with Joe Blythe, supervising research on communication disabilities, speech pathology assessment, and cross-linguistic interaction analysis. His teaching focuses on acquired communication disorders, language analysis, and speech pathology foundations. Barnes researches acquired communication disabilities (aphasia, TBI) using conversation analysis and interactional linguistics. Key interests include: Everyday communication practices in clinical populations Turn-taking and repair organization across languages Multimodal interaction analysis Speech pathology assessment frameworks Cross-cultural communication disorders His publications demonstrate consistent focus on clinical conversation analysis, with recent work examining: Therapeutic interactions in mental health settings Multimodal communication in Mandarin and Indonesian contexts Auditory processing in post-stroke communication Repair strategies in dysarthria and aphasia As external accreditor for Speech Pathology Australia (2021-2026), he shapes professional education standards. He directs multiple active grants including projects on bilingual education, communication breakdowns in noise, and voice visualization technology.
Stacy Holman Jones is a Professor of Theatre and Performance in the School of Languages, Literatures, Cultures and Linguistics at Monash University. With over 23 years of academic experience, she has developed an international reputation for leadership in performance studies, particularly in feminist and queer theory, new materialist research, and critical arts-based methodologies. Her educational background includes a PhD in Communication/Performance Studies from the University of Texas at Austin (2001), an MA in Communication from California State University Sacramento (1996), and a BA in Humanities (1988). Professor Jones's research focuses on performance as socially, culturally, and politically resistive and transformative activity. She is a recognized leader in critical autoethnography and has published over 100 articles, book chapters, and editorials, as well as authored, co-authored, and edited 14 books including the influential Handbook of Autoethnography (2013, 2021) and Queering Autoethnography (2018). Her work spans cultural critique, social inclusion, education, resilience building, designing for social impact, and enhancing health and wellbeing among minoritarian communities. Analysis of her recent publications reveals a strong trajectory toward creative ecological approaches to mental health, collaborative autoethnographic methods, and innovative design for social impact. Her research increasingly integrates performance studies with mental health applications, particularly in educational settings, while maintaining strong connections to queer theory, new materialisms, and critical autoethnography. International Congress of Qualitative Inquiry's Special Career Award National Communication Association's Distinguished Service Award in Performance Studies Janice Hocker Rushing Early Career Research Award Organization for the Study of Communication, Language, and Gender Feminist Teacher/Mentor Award Over the Rainbow Recommended Book List for Queering Autoethnography (2019) International Congress of Qualitative Inquiry Qualitative Book Award, Honourable Mention (2020) Multiple Good Design Awards for 'The Tomorrow Party' (2024) Professor Jones has been part of 3 successful ARC applications totaling $1,353,604, including as Lead CI for DP200102876 Staging Australian Women's Lives (2020-2023). She is currently accepting PhD students with supervision interests in theatre and performance studies, social change and social justice, and health and wellbeing research. She serves as the founding editor of Departures in Critical Qualitative Research and has been actively involved in professional organizations including serving as President of the International Congress of Qualitative Inquiry (2015-2018). Her current research activities include multiple collaborative projects such as 'Playing Transitions - Settling and Belonging in School together' (2024-2027), 'Learning Creates: Tomorrow Party' (2024), and 'Canopy: Creative partnerships for policy advocacy in Climate and Health' (2024), demonstrating her commitment to interdisciplinary, impact-focused research that bridges theory and creative practice.
Dr. Ben Swift is a Senior Lecturer at the School of Cybernetics, ANU, specializing in AI, computational art, and cybernetics. He leads the Cybernetic Studio, an interdisciplinary collective exploring cybernetic systems through hardware/software/people collaborations. As a livecoding artist, he performs globally and co-founded the ANU Laptop Ensemble. His research spans generative AI, open-source tools like Extempore, and UX design. Education: PhD in Computer Science (ANU) Projects: Australia's Digital Economy (2022), The Augmented Web (2019) Research focuses on AI creativity, biofeedback interfaces, and computational music. His work bridges technical innovation with artistic expression, evident in projects like TSPNet and adversarial camera systems. Key contributions include Extempore’s development and studies in live coding disruption. Awards unspecified but recognized internationally for interdisciplinary impact.
Prof Ghassan Beydoun is a Professor and Head of Discipline (Information Systems) at the School of Computer Science, University of Technology Sydney (UTS). He leads the Information Systems discipline and is affiliated with the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). His research focuses on AI-driven systems, agent-based modelling, ontologies, and disaster management, with notable contributions to knowledge graphs, enterprise architecture, and IoT applications. Beydoun actively supervises Masters and PhD students in these domains. His research interests span metamodelling, agent systems, and AI applications in disaster management (e.g., flood, landslide, and earthquake risk assessment), health systems, and smart infrastructure. He has pioneered frameworks for reproducible machine learning solutions, digital identity systems, and cloud migration strategies. Beydoun’s work integrates interdisciplinary methods, such as bibliometric analysis for journal evolution and XAI for spatial hazard prediction. Recent publications highlight his expertise in AI for climate-induced hazard modelling, agent-based knowledge transfer mechanisms, and metaverse applications in education. His funded projects include AI-powered circular economy initiatives, smart beach safety systems, and health data querying frameworks. Beydoun collaborates with industry partners like CSIRO, Capsicum Business Architects, and Data Zoo, translating research into practical solutions for enterprise architecture, cybersecurity, and public health.
Tongguang Li is a Research Fellow at the Department of Human Centred Computing, Monash University. His research focuses on learning analytics, self-regulated learning, and AI applications in education. He has contributed to the development of the FLoRA engine, an AI tool designed to enhance hybrid human-AI regulated learning. Li’s work explores adaptive scaffolding, large language model (LLM) feedback systems, and the integration of multimodal data for educational insights. His recent studies investigate how LLMs like ChatGPT can provide effective feedback to students, analyze rhetorical patterns in writing, and measure the impact of scaffolding on learning processes. Li has been recognized for his research with the Conference Best Full Student Paper Award from the Australiasian Society for Computers in Learning in Tertiary Education (2022). Key themes in his work include understanding self-regulated learning strategies through trace data, optimizing adaptive systems for learner engagement, and leveraging AI for educational innovation. His research bridges cognitive science, data analytics, and educational technology to improve learning outcomes and pedagogical practices.
Dr. John Severn is a Research Fellow at Macquarie University's Department of International Studies: Languages and Cultures. His career spans academia, law, and translation, with a focus on theatre internationalization, Shakespearean adaptation, and community engagement. Education: PhD in Theatre Studies and English, University of New South Wales MA(Hons) in Shakespeare and Theatre, University of Birmingham LLB(Hons) in Law and French, University of Edinburgh Postgraduate Diploma in Legal Practice, University of Edinburgh BA(Hons) in Theatre Studies and Opera Studies, University of Manchester/Rose Bruford College CertHE in Scottish Gaelic language and culture, University of the Highlands and Islands His research explores theatre and internationalization through opera, musicals, and Shakespearean adaptation. He investigates how performing arts foster inclusive/exclusive communities and addresses barriers to participation. His work intersects European cultural history, arts policy, and transnational practices. Recent publications highlight trends in Shakespearean operatic adaptation, Australian theatre censorship, and decolonial processes in performance. His co-edited works include The Routledge Companion to Theatre and Internationalization and Theatre and Internationalization: Perspectives from Australia, Germany, and Beyond . Dr. Severn collaborates with institutions like the University of Sydney, University of New South Wales, and the Goethe-Institut Australia. He founded the research cluster 'Staging Migration in Berlin' and co-organizes international conferences on theatre internationalization.
Chun Ouyang is a Professor at Queensland University of Technology (QUT) in the School of Computer Science within the Faculty of Science. With an extensive publication record spanning over two decades from 2002 to 2025, Professor Ouyang has established themselves as a leading researcher in Business Process Management, Process Mining, and Explainable AI. Their work bridges theoretical foundations with practical applications across healthcare, finance, and industrial sectors. Professor Ouyang's research interests primarily focus on Business Process Management systems, Process Mining techniques, Explainable Artificial Intelligence, and Healthcare Process Analysis. Their work has evolved from foundational BPMN/BPEL translation research in the early 2000s to sophisticated process mining approaches in the 2010s, and most recently to cutting-edge Explainable AI applications in clinical and business contexts. They have developed novel methodologies for process querying, predictive process analytics, and XAI evaluation frameworks that have significantly advanced the field. Their research consistently emphasizes practical applicability while maintaining strong theoretical foundations, with publications in top-tier journals and conferences including IEEE Transactions, Springer journals, and major BPM conferences. Analysis of Professor Ouyang's recent publications (2023-2025) reveals a strategic research trajectory that integrates traditional process mining with modern AI techniques, particularly focusing on explainability and trustworthiness. Their work demonstrates a consistent pattern of addressing real-world challenges through rigorous methodological development, with increasing emphasis on healthcare applications, clinical decision support systems, and the ethical implications of AI deployment. The publications show strong interdisciplinary collaboration patterns, particularly with medical researchers and industry partners. Professor Ouyang has mentored numerous PhD students and early-career researchers who have gone on to establish themselves in the BPM and AI communities. Their research group at QUT has secured multiple competitive grants supporting innovative work in process analytics and AI. They maintain active collaborations with leading researchers globally, including Catarina Pinto Moreira, Arthur ter Hofstede, and Moe Wynn. Professor Ouyang leads the Process Analytics Research Group at QUT, which focuses on developing advanced techniques for business process analysis, prediction, and optimization. The group maintains strong industry connections with healthcare providers, financial institutions, and government agencies, ensuring their research has practical impact. Current projects include developing trustworthy AI systems for clinical decision support, cross-organizational process analysis frameworks, and next-generation process mining techniques for complex, distributed systems.
Dr. Ghazal Bargshady is a Lecturer at the University of Canberra , with expertise in Affective Computing , Artificial Intelligence , and Healthcare Technology . Her roles include teaching units such as Computer Vision, Data Analytics, and Soft Computing, as well as supervising PhD and Master by Research students in AI-driven projects for healthcare and road safety. Education: She earned her PhD in Artificial Intelligence and Computer Vision from the University of Southern Queensland in 2020. Research Interests: Dr. Bargshady specializes in Computer Vision Deep Learning Biosignal Processing Facial Expression Analysis Human Factors in AI Wearable Sensors Multimodal Data Fusion Brain–Computer Interfaces Her work addresses real-world challenges in pain assessment, depression recognition, and driver safety using cutting-edge AI models. Article Trends: Her recent publications focus on Transformer architectures , fNIRS signal analysis , multimodal pain detection , and depression severity estimation via facial video data. These studies highlight her contributions to AI in healthcare , transportation safety , and biomedical signal processing . Teaching Activities: Dr. Bargshady has lectured units including Programming for Data Science , Computer Vision , and Soft Computing , emphasizing practical AI applications.
Shunichi Ishihara is a Professor at the School of Culture, History & Language, The Australian National University, where he leads research in forensic linguistics and computational linguistics. His work focuses on forensic text and voice comparison, authorship attribution, and Japanese linguistic studies. He holds qualifications including a PhD (ANU), MSc (Macquarie), MA (ANU), and BEd (Shizuoka). Research Interests: Forensic Voice/Text Comparison Computational Linguistics Intonational Modelling Japanese Language Processing Stylometric Analysis Research Trends: Recent work emphasizes likelihood ratio-based systems for authorship verification, fusion of acoustic and text features for forensic analysis, and applications of deep learning in text evidence evaluation. His studies often explore cross-lingual comparisons (e.g., Japanese, English, Vietnamese) and system validation methodologies. Grants & Projects: "Likelihood project on author recognition" (2024-2026) "Big Australian Speech Corpus" (2010-2015) Multiple forensic voice/text comparison initiatives Labs & Teams: Director of the Speech and Language Lab, collaborating on speech corpus development and forensic linguistic systems.
Ben R. Newell is a Professor of Cognitive Psychology and Deputy Head of the School of Psychology at the University of New South Wales (UNSW Sydney). In 2023, he was appointed Director of the interdisciplinary UNSW Institute for Climate Risk and Response, reflecting his leadership in applying psychological science to societal challenges. He is a leading figure in judgment and decision-making research, with broad interdisciplinary applications. His research focuses on the cognitive processes underlying human judgment, choice, and decision-making. Key interests include how people learn from feedback, acquire knowledge, and make decisions under uncertainty. He investigates these processes in real-world contexts such as environmental risk, medical decisions, financial behavior, and forensic reasoning. His work integrates cognitive modeling with behavioral experimentation to understand both biases and adaptive strategies in decision-making. Recent publications highlight his innovative use of natural language models to validate cognitive theories, experimental studies on saving behavior under income volatility, and investigations into how task context affects effort and boredom. These works reflect a trend toward integrating computational methods with traditional experimental psychology to deepen understanding of decision architecture. Ben Newell is actively engaged in the academic community, serving on the editorial boards of premier journals including: Psychological Science Perspectives on Psychological Science Psychonomic Bulletin & Review Thinking & Reasoning Decision Journal of Behavioral Decision Making Experimental Psychology He is also a Consulting Editor for Judgment & Decision Making and a member of the inaugural Academic Advisory Panel of the Behavioural Economics Team of the Australian Government, advising on evidence-based policy. He co-authored the influential textbook Straight Choices: The Psychology of Decision Making (3rd ed., 2022) and Open Minded: Searching for Truth about the Unconscious Mind . Though specific advisees are not listed, he mentors students within UNSW’s School of Psychology and leads a research team focused on cognitive and decision sciences. His work at the UNSW Institute for Climate Risk and Response involves interdisciplinary collaboration to improve societal responses to climate-related risks through behavioral insight.
Prof. Ping Yu is a Professor at the University of Wollongong's School of Computing and Information Technology, where she has held leadership roles such as Director of the Centre for Digital Transformation (2013–2020). Her work focuses on digital health, health informatics, and data-driven solutions for aged care, with collaborations involving the World Health Organization (WHO), NSW Health, and over 11 aged care providers. She has pioneered projects like the WHO’s eSTEPS platform and AI-driven analytics to optimize healthcare resources. Her research integrates socio-technical perspectives to address challenges in technology adoption and healthcare system improvements. Her research interests span data engineering, data quality, ontology development, and generative AI applications in healthcare. Key areas include extracting insights from unstructured health records, improving clinical decision-making, and enhancing patient outcomes through mHealth and telemedicine innovations. She also explores the impact of green spaces on healthy aging and disparities in healthcare access across regions. Prof. Yu has secured over $4.5 million in research funding, including significant grants from the Australian Research Council. She has mentored 29 postgraduate students to completion, emphasizing interdisciplinary research and practical implementation. Her awards include the prestigious 2022 Telstra Brilliant Women in Digital Health Award and the 2008 Don Walker Award for contributions to health informatics. Her advising and grants narrative highlights her role as a mentor and her success in securing competitive funding. Her work bridges academia and industry, with projects like improving pressure injury risk management in aged care using EHRs and analyzing agitation in dementia through AI. She contributes to education policy, including co-designing academic leadership programs and enhancing clinical informatics curricula in the AI era. Prof. Yu leads multi-disciplinary teams at UOW and collaborates with global institutions, focusing on labs and initiatives like the Appendicectomy Surgical Pathway Ontology (ASPO) and the 6A framework for hypertension management via mHealth. Her research emphasizes real-world impact, from reducing hospital readmissions to optimizing surgical workflows and improving public health communication strategies during crises.
Professor Lisa Kervin is a leading academic in early childhood education at the University of Wollongong (UOW), serving as Director of Early Start Research and holding a Professorial appointment in the School of Education. Her research focuses on young children’s literate practices, play-based learning, and digital technology integration in education. She leads the ARC Centre of Excellence for the Digital Child and has secured significant funding, including a 2025 ARC Future Fellowship exploring intergenerational play. Kervin was honored as a Member of the Order of Australia (AM) in 2024 for contributions to early childhood digital literacy research. She has supervised over 35 research students, many now in academic and leadership roles, and currently oversees seven doctoral candidates. Her work bridges theory and practice through collaborations with educators and industry partners, emphasizing interdisciplinary approaches to child development and policy influence globally. Education: PhD in Language and Literacy from UOW (2001–2004). Professional roles include Principal Fellow of the Australian Literacy Educators’ Association and Director qualifications from the Australian Institute of Company Directors. Her research spans digital childhood ethics, play pedagogy, and literacy curriculum design, with outputs impacting government policies and international educational frameworks. Ongoing projects include the ‘DigIQ’ program promoting digital literacy and ‘Playgroups for All Ages’ fostering intergenerational engagement. Grants and collaborations involve partnerships across six universities and 33 global organizations. Her teaching innovations include the Early Childhood Elevate Mentoring Program to support educators’ academic progression. Kervin’s work addresses critical issues like screen time impacts, STEAM education, and culturally responsive pedagogies, positioning her as a key voice in 21st-century early childhood education.
