Find Academic Supervisors

Dr. Chang Xu is an Associate Professor in Machine Learning and Computer Vision at the University of Sydney's School of Computer Science. He holds a Bachelor of Engineering from Tianjin University and a PhD from Peking University. His research focuses on machine learning, data mining, and their applications in AI and computer vision, including multi-view learning, visual search, and face recognition. He is an ARC Future Fellow and a member of the Sydney Southeast Asia Centre and The Net Zero Institute. Education: B.E. in Engineering (Tianjin University), Ph.D. in Computer Science (Peking University). His research interests emphasize handling heterogeneous data, exploring data variety, and developing algorithms for robust AI systems. His work includes adversarial robustness, neural architecture search, and efficient deep learning models. Research trends in his articles include adversarial robustness in neural architectures, efficient vision transformers, multimodal 3D style transfer, and underwater image restoration. Key contributions span image restoration, video super-resolution, and lightweight network design. He has advised multiple PhD and master's students on topics like diffusion models, radar image synthesis, and graph similarity. Awards: ARC Future Fellow. Collaborations focus on cross-domain data integration and AI applications. His labs and teams explore generative models, robust learning, and scalable robotics policies. Recent work includes diffusion models for action segmentation and robust vision-language systems.

• Machine Learning
• Computer Vision
• Data Mining
• +6 more

Associate Professor Sam Kirshner is a faculty member at the University of New South Wales within the School of Information Systems and Technology Management . His research focuses on behavioral decision making , algorithmic impact on operations , and artificial intelligence applications in business contexts. PhD in Management Science from Queen’s University, Canada Teaching expertise in data visualization, predictive analytics, and AI ethics Co-author of Business Analytics: A Management Approach Member of the Ethical AI Advisory His research explores how psychological distance and construal level theory influence decisions in supply chains, technology management, and consumer behavior. Recent work examines ChatGPT's decision biases , algorithm aversion , and sustainable operations under financial constraints. Key publication trends show focus areas: AI ethics and human-AI collaboration Behavioral supply chain analysis Temporal/spatial psychological distance effects CO2 forecasting with sparse data Consumer behavior in digital platforms Virtual reality and cognitive processing Supervision roles include mentoring 2 PhD students and 6 honors students, contributing to the next generation of scholars in business analytics and technology management.

• Behavioral Decision Making
• Operations Management
• Technology Management
• +6 more

Matthew Stephenson is a Lecturer at Flinders University's College of Science and Engineering, specializing in Artificial Intelligence applications for games. He leads the Data for Decisions initiative within the Factory of the Future Transdisciplinary Hub, focusing on AI-powered scenario generation for smart digital twins. Additionally, he is a member of IRL CROSSING, an international lab studying human-autonomous agent teaming dynamics. PhD in Computer Science (Australian National University, 2019) B.Sc.(Hons) in Computer Science (University of Canterbury, 2015) His research applies AI, Machine Learning, and Data Science to game domains, including intelligent agent development for physics-based environments, procedural content generation, and game analytics. He also investigates deceptive behaviors in multi-agent systems and leverages games as testbeds for real-world AI solutions. Recent publications focus on large language models for game benchmarking, physical reasoning challenges, and evolutionary game generation. Scientific awards include an honourable mention at Foundations of Digital Games (FDG'18). He supervises students in procedural generation, game AI, and physics-based task creation, with teaching roles in computational intelligence and neural networks courses.

• Artificial Intelligence
• Machine Learning
• Data Science
• +5 more

Ryan Kelly is an Associate Professor in the School of Computing Technologies at RMIT University, specializing in Human-Computer Interaction (HCI), digital health, and mixed reality. His research focuses on technology-enabled social connection and wellbeing, including designing communication tools for close relationships, digital health initiatives like the Music-Attuned Care via eHealth (MATCH) project, and VR applications for mental health. He collaborates with industry partners such as Google, Netflix, and the Worldwide Fund for Nature, and has developed technologies for older adults, including simplified video calling systems for aged care during the pandemic. His work has been featured globally in media, including Al-Jazeera's documentary All Hail the Algorithm . He actively contributes to the HCI community as a reviewer and committee member for conferences like ACM CHI and CSCW, holding roles such as Editor for CSCW 2025 and Awards Co-Chair for CSCW 2023. Ryan supervises PhD candidates exploring human-centered AI for social connection and online safety for older adults. His research aligns with UN Sustainable Development Goals 3 (Good Health), 9 (Industry Innovation), and 11 (Sustainable Cities). Key projects include the VR mindfulness application used by over 200,000 Australians and the Painpad device for pain logging in UK hospitals. He advocates for participatory design frameworks, emphasizing ethical AI and technology’s role in fostering meaningful human experiences.

• Human-Computer Interaction
• Digital Health
• Mixed Reality
• +4 more

Dr. Maxime Cordeil is a Senior Lecturer in Human Centred Computing at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on Virtual and Augmented Reality technologies for data interaction, interactive visualization systems, and AR interfaces for industry applications. He has authored over 60 publications in top-tier venues such as ACM CHI and IEEE VR, and was nominated as Australia's Field Leader in Computer Graphics in 2021 and 2022. Research Interests: Data visualization, immersive analytics, medical imaging, collaborative systems, and human-computer interaction. Current Projects: Includes embedded visualizations for sports performance, interactive machine learning in 3D environments, and mixed-reality applications in forensic science. PhD Supervision: Actively guiding students in topics like immersive gesture exploration, AR for digital health, and collaborative VR systems. His work bridges theory and practice, with tools like IATK (Immersive Analytics Toolkit) and the MADE-Axes hardware system. He collaborates with industry partners like Raytracer and CSIRO, focusing on applications in space exploration, underwater training, and remote operations. Awards: Multiple best paper recognitions at ISS and CHI, plus industry-driven research grants. Labs: Leads the Immersive Analytics research group at UQ, specializing in embodied interaction and spatial computing.

• Data Visualisation
• Immersive Analytics
• Virtual Reality
• +5 more

Jordi McKenzie is an Associate Professor in the Department of Economics at Macquarie University. His research focuses on industrial organization, cultural economics, and digitization, with notable contributions to digital piracy, film industry economics, and generative AI in media. He holds degrees from the University of Sydney (PhD, MEc Hons) and the University of Tasmania (BEc Hons). Education: PhD in Economics, University of Sydney MEc (Hons) in Economics, University of Sydney BEc (Hons) in Economics, University of Tasmania Research interests include AI ethics in content creation, cultural trade patterns, and the economic impact of streaming services. His work has been published in journals like Poetics and Journal of Cultural Economics . He has contributed to policy discussions on digital piracy, music industry recovery post-pandemic, and author rights in AI-generated content. Recent projects include studying the transformation of data into trusted data products, digital piracy policy impacts, and subscription video on demand’s effect on legal/illegal consumption. He received the Mallen Lifetime Achievement Award in 2014 for contributions to film industry economics. McKenzie has engaged in media commentary on topics like Netflix’s viewing metrics, music collaboration impacts, and talent show biases. His research often bridges empirical evidence and policy implications, emphasizing the cultural and economic dimensions of digitization.

• Industrial Organization
• Cultural Economics
• Economics of Digitisation
• +5 more

Professor Daniel Angus is a faculty member at Queensland University of Technology (QUT), holding the position of Professor of Digital Communication in the School of Communication and serving as Director of QUT's Digital Media Research Centre (DMRC). His research focuses on computational methods applied to communication and media studies, with a particular emphasis on AI, automation, misinformation, and digital societal impacts. He holds a PhD in computer science from Swinburne University of Technology and has extensive experience in interdisciplinary research across computer science, design, communication, linguistics, and journalism. Affiliations: ARC Centre of Excellence for Automated Decision Making & Society, ARC Centre of Excellence for the Dynamics of Language. Research Projects: Leads projects like 'Using Machine Vision to Explore Instagram’s Everyday Promotional Cultures' and 'Evaluating the Challenge of ‘Fake News’ and Other Malinformation'. Research Interests: Daniel’s work bridges technology and society, exploring AI ethics, algorithmic transparency, social media governance, and computational methodologies for analyzing communication patterns. He develops tools like Discursis and PauseCode to study discourse and conversational dynamics in healthcare, aged care, and media contexts. Grants & Awards: Principal Investigator on multiple ARC grants and collaborates with industry stakeholders to address challenges like unhealthy food advertising and platform accountability. His research has informed policy submissions to parliamentary committees on social media regulation and AI adoption. Supervision: Current PhD students focus on topics like algorithmic transparency, computational methods for meme analysis, and AI in publishing. Labs/Teams: Directs the Digital Media Research Centre, fostering interdisciplinary projects on digital culture and platform studies.

• Artificial Intelligence
• Social Media Analysis
• Computational Social Science
• +3 more

Dr. Zhenghao Chen is a Lecturer in Data Science at the University of Newcastle, affiliated with the School of Information and Physical Sciences. He earned his Ph.D. from the University of Sydney in 2022, following a B.Eng. H1 degree from the same institution in 2017. Prior to his current position, Dr. Chen served as a Postdoctoral Research Fellow at the University of Sydney (2022-2024), a Research Engineer at TikTok (2024), and as a Visiting Research Scientist at Microsoft Research and Disney Research (2022-2023). Dr. Chen's educational background includes: Doctor of Philosophy, University of Sydney (2022) Bachelor of Information Technology (B.Eng. H1), University of Sydney (2017) Dr. Chen's research spans multiple domains within artificial intelligence, with particular expertise in Computer Vision, Natural Language Processing, and Machine Learning. His work in Generative AI has garnered significant recognition, with applications in both academic and industrial settings. His research interests are reflected in his Fields of Research percentages: Deep Learning (30%), Computer Vision (30%), Natural Language Processing (20%), and Multimodal Analysis and Synthesis (20%). His publications in top-tier venues like CVPR, ICCV, ECCV, and journals like IEEE TPAMI demonstrate the breadth and impact of his work. Analysis of Dr. Chen's recent publications (2022-2025) reveals a consistent focus on neural compression techniques, 3D perception, and multimodal AI systems. His work spans medical imaging (CXR bone suppression), video compression, point cloud processing, and neural surface reconstruction. A notable trend is his exploration of efficient AI systems that work well under resource constraints, as evidenced by his involvement in the EMCLR workshop. His research often bridges theoretical advances with practical applications across multiple domains. Dr. Chen has received several prestigious awards: Microsoft Research Asia StarTrack Fellowship (2025) ACM SIGMM Award for Outstanding PhD Thesis in Multimedia Computing (2024) Australia Government Research Training Program (RTP) Fellowship (2019) Google Australia Prize for Excellence in Computer Science (2017) Dr. Chen is actively involved in the academic community, serving on the Program Committee for major AI conferences including CVPR, ICCV, ECCV, SIGGRAPH, AAAI, and others. He also organizes workshops in Multimedia and ICCV conferences, and serves as a reviewer for prestigious journals. His teaching responsibilities include courses on Intelligent Visual Signal Understanding, Video Intelligence and Compression, Database and Information Management, and Computing Fundamentals at both the University of Sydney and University of Newcastle.

• Computer Vision
• Natural Language Processing
• Machine Learning
• +3 more

Dr. Momoko Fujita is a Senior Lecturer in Communications and Media at the University of Canberra, affiliated with the Arts & Communication faculty. She holds a PhD from the University of Western Australia and has industry experience in digital marketing across public and private sectors. Her research focuses on digital media's impact on consumer behavior and well-being, including social media influencers, AI ethics in content curation, and digital acculturation. Education: PhD in Marketing (2019), University of Western Australia Research Interests: Digital marketing strategies, consumer well-being, AI ethics, social media engagement, and cross-cultural communication. She explores how digital platforms shape identity and behavior, particularly through user-generated content and brand communities. Grants & Funding: Lead investigator in a AU$87k project on political misinformation during the 2025 Australian Election. Co-investigator in a AU$41k study on multilingual audiences' sense of belonging. Advising & Grants: Supervises HDR students researching social media algorithms, spiritual influencers, and migration decisions. Active in grant acquisition totaling over AU$170k since 2018. Labs/Teams: Serves as Social Media Editor for the Journal of Service Theory and Practice, and Honorary Research Fellow at the University of Western Australia.

• Digital and Social Media Marketing
• Consumer Behavior
• Well-being and Social Media Influencers
• +3 more

Dr Julian Koplin is a Lecturer in Bioethics at Monash University's Monash Bioethics Centre. He previously held a Research Fellow position at the University of Melbourne (2018–2022). His research focuses on ethical implications of emerging technologies, including AI in healthcare, mitochondrial donation, human-animal chimeras, and organ allocation systems. Koplin has contributed to policy development through submissions to parliamentary inquiries on mitochondrial donation law reform and organ donation strategies. His work addresses cutting-edge bioethical dilemmas such as the moral status of brain organoids, ethical use of AI for consent processes, and governance of regenerative medicine. He leads projects exploring machine learning applications in embryo selection (funded 2022–2023) and epistemological issues in expertise (2014 Templeton Foundation grant). Koplin's interdisciplinary approach bridges philosophy, science, and public policy to address 21st-century biomedical challenges. Key contributions include analysis of AI text generation risks, critiques of organ market exploitation, and frameworks for evaluating human-animal chimera research. His work emphasizes balancing innovation with ethical responsibility, particularly in rapidly advancing fields like artificial intelligence and genetic engineering.

• Bioethics
• Stem Cell Ethics
• Human Tissue Ethics
• +6 more

Dr. Jiraporn Surachartkumtonkun is a Senior Lecturer in the Department of Tourism and Marketing at Griffith University. She holds a PhD in Marketing from the University of New South Wales and has academic affiliations with the Centre for Work, Organisation and Wellbeing and Griffith Asia Institute. Her research focuses on services marketing, frontline employee wellbeing, cross-cultural studies, and consumer behavior in digital contexts. She has published in top journals like the Journal of Retailing and European Journal of Marketing , and serves on the editorial board of the Australasian Marketing Journal . Education: PhD in Marketing, University of New South Wales (Australia) Master of Marketing, Thammasat University (Thailand) Bachelor of Economics, Thammasat University (Thailand) Research Interests: Combines empirical and theoretical approaches to study customer emotions, service recovery, employee diversity, and digital marketing strategies. Recent work explores AI’s impact on workplaces and consumer engagement via TikTok and social media. Teaching: Specializes in Services Marketing, Digital Marketing, and Consumer Psychology. Holds fellowship in UK Higher Education Academy (2022). Grants & Impact: Recipient of a $15,000 Queensland grant to develop growth mindset programs for Aboriginal and Torres Strait Islander students. Leading a $100,000 project on gamified career exploration for culturally diverse female students. Collaborated on a UNDP data project analyzing regional education strategies. Awards: 2022 Best Reviewer Award - Australasian Marketing Journal UK HEA Fellowship (2022)

• Services Marketing
• Customer Emotion and Satisfaction
• Frontline Employee Wellbeing
• +4 more

Luke Heemsbergen is a Senior Lecturer in Communication at Deakin University's School of Communication and Creative Arts and the Alfred Deakin Institute for Citizenship and Globalisation. His research explores the intersection of digital technologies and societal power structures, focusing on how emerging media reshape political communication, human-computer interaction, and cultural practices. He co-leads the Immersive Realities Theme at Deakin Motion Lab and coordinates the Critical Digital Interfaces and Infrastructures research group. Research interests include: Digital media's role in political engagement and activism Augmented/extended reality as tools for environmental and health communication Algorithmic governance in institutional contexts Critical approaches to synthetic media and AI creativity His recent publications demonstrate sustained focus on platform politics, with 9/15 articles analyzing social media's role in elections, activism, and misinformation. Methodologically, he employs innovative digital approaches like 'backend-in' platform analysis and multimodal data visualization. Thematically, articles cluster around: 1) Pandemic technologies and surveillance, 2) Algorithmic management in institutions, and 3) Immersive media design. Supervision includes 8 doctoral students working on projects like embodied human-machine interfaces, EdTech supply chains, and surveillance law reform. Funded projects include: Defining Communication in a Digital Era (ACCAN grant) Techno-Totalitarianism vs. Disruptive Technologies (Gerda Henkel Stiftung) VR Wayfinding Visitor Experience Model (ID Laboratory)

• Digital Communication
• Science and Technology Studies
• Augmented Reality
• +3 more

Dr Belinda Middleweek is a Senior Lecturer at the University of Technology Sydney , affiliated with the School of Communication and serving as Teaching and Learning Lead for Journalism . She currently acts as Higher Degree Research Coordinator in the Faculty of Arts and Social Sciences. Educational background: PhD in Journalism, University of Sydney (2007) BA (First Class Honors), University of Sydney (2002) Her research explores intersections between human-technology interaction , digital intimacy , and journalism/media studies . Key themes include: bodily engagement with AI, gendered technology positioning, media representation of technology, affective technology bonds, and ethical implications of digital intimacy. She co-authored Real Sex Films: The New Intimacy and Risk in Cinema (2017) and authored Feral Media? The Chamberlain case, 40 years on (2021), which re-examined Australia's most significant media-trial dynamics. Recent publications analyze: touch in journalism (2025), pre-digital sleuthing (2025), and data privacy in sexual health tech (2025). These works explore sensory news practices, historical public investigations, and gendered data ethics in biometric devices. Scientific recognition: Erasmus Mundus Scholarship (2018) Dean’s Teaching Awards (2024, 2013) Heroic Award for Outstanding Contribution (2023) As an educator, she leads journalism curriculum development and has 8 current/postgraduate HDR supervisees. Her industry experience includes senior roles at Sunrise, Today Tonight, and documentary production for multiple networks. Leadership roles: Teaching and Learning Lead for Journalism (2020–present) Acting HDR Coordinator (2025–present) UTS Expert Working Group on Human Rights and AI (2020)

• Human-Technology Interaction
• Digital Intimacy
• Journalism Studies
• +5 more

Derry Wijaya is an Associate Professor in the Data Science program at Monash University, Indonesia, specializing in natural language processing with a focus on multilingual applications, machine translation, and large language models. Her research bridges computational linguistics with social applications, examining how language technologies can address challenges in low-resource language settings. Her research interests center on natural language processing, with particular expertise in machine learning applications for multilingual contexts. Wijaya investigates how well-annotated languages can improve translation of less-documented languages, and explores the use of images, related tasks, data augmentation, and large language models to enhance representation and translation for languages with limited training data. Her work demonstrates strong interdisciplinary connections between technical NLP research and real-world social applications. Analysis of her recent publications (2023-2025) reveals a research trajectory that spans core NLP methodologies while increasingly incorporating social media analysis, policy applications, and cross-cultural communication challenges. Her work shows particular strength in addressing low-resource language challenges while maintaining relevance to Indonesian and global contexts, with notable publications examining climate change perception among Indonesian youth and comparative water quality issues between Indonesia and the United States. Wijaya maintains active research collaborations across multiple institutions, with numerous co-authored publications addressing diverse applications of NLP from public health communication to political discourse analysis. Her research demonstrates consistent productivity, with significant output in top computational linguistics venues.

• Natural Language Processing
• Machine Learning
• Deep Learning
• +5 more

Associate Professor Dirk H.R. Spennemann is a leading cultural-heritage scholar at Charles Sturt University , Australia, holding an appointment within the School of Agricultural, Environmental and Veterinary Sciences . He lectures and supervises in Cultural Heritage Management and Historic Ecology at the Albury-Wodonga campus. Education: Doctor of Philosophy (Prehistory), Australian National University, 1990 Master of Arts (Prehistory), Johann Wolfgang Goethe-Universität Frankfurt, 1982 Research Interests: Dirk’s work straddles two major domains. First, as a foremost authority on Micronesian history and heritage , he has conducted extensive fieldwork across the Indo-Pacific, producing over 400 peer-reviewed outputs. Second, he spearheads the emerging field of heritage futures , applying strategic foresight to anticipate how contemporary and emergent heritages—ranging from modernist architecture to space exploration and generative AI—will be valued and managed by future societies. Complementary strands include digital heritage, technological and space heritage, heritage policy, rural vernacular architecture, and the interplay between heritage and community mental health. His recent publications reveal a methodological expansion into sensory ethnography of tourism sites, citizen-science approaches to ecological monitoring, and digital-forensic techniques for born-digital heritage, reflecting a commitment to innovative, cross-disciplinary inquiry. Awards & Recognition: Partnership Stewardship Award for Cultural Resources, US National Park Service (2001) Governor’s Humanities Award for Excellence in Research and Publication, CNMI (2004) CSU Vice-Chancellor’s Award for Teaching Excellence (1995) CSU Vice-Chancellor’s Award for Research Excellence (1996) Supervision & Grants: Dirk is a registered principal supervisor for higher-degree research candidates in cultural heritage and environmental history. While specific grant amounts are not disclosed, his sustained productivity (334+ research outputs and 18 datasets since 2020) indicates robust ongoing funding and institutional support. Laboratories & Teams: He is affiliated with the Gulbali Research Institute and participates in cross-faculty research groups focusing on heritage futures and sustainable environments. Editorial roles include Associate Editor for Campus-wide Information Systems and Editorial Board member for Disaster Advances .

• Cultural Heritage Management
• Heritage Futures
• Micronesian History and Heritage
• +9 more