Professor Hongdong Li is a Tenured Professor at the School of Computing, Australian National University (ANU), within the College of Engineering and Computer Science. His research focuses on 3D Computer Vision, Machine Learning, and their applications in dynamic environments. He has held visiting roles at Carnegie Mellon University and has contributed to significant projects like the Australia Bionic Eyes initiative. Education: PhD (Electrical Engineering). Research Interests : 3D Computer Vision fundamentals and applied AI systems Learning-based 3D perception for plant sciences Robot navigation in unfamiliar environments Awards : Marr Prize Honourable Mention CVPR Best Paper Award Advising & Grants : Supervised 40+ PhD students, with funding from ARC, CSIRO, Microsoft, and firms like OPPO/Tencent. Active in projects such as bushfire detection via video analytics and sign language translation systems. Labs/Teams : Co-founder of the Australian Centre for Robotic Vision (ACRV). Collaborates globally on cross-view localization and autonomous systems.
Dylan Campbell is a Lecturer in Computing at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. His research focuses on computer vision, optimization, and robotics, particularly in 3D vision and deep learning applications. He has held prior roles as a Research Fellow at the University of Oxford’s Visual Geometry Group and ANU’s Australian Centre for Robotic Vision. Campbell holds a PhD from ANU (2018) and a BE in Mechatronic Engineering from UNSW (2012). Research interests include geometric sensor alignment, neural radiance fields, and differentiable optimization layers. He actively supervises students (7 PhD/DPhil, 3 MEng, 9 honours) and teaches advanced courses in computer vision and robotics. Notable awards include the Marr Prize Honourable Mention (2017) and the IEEE Australia Council Postgraduate Student Paper Competition (2018). He has organized workshops at ECCV and CVPR, served as a reviewer for top conferences like CVPR/ICCV/ECCV, and contributed to datasets like SEED4D and RefRef. His work emphasizes efficient training of neural networks and leveraging symmetries in data for long-range connections.
Dr. Robin Laycock is a Senior Lecturer in the Department of Health and Biomedical Sciences at RMIT University. He leads the Social and Cognitive Neuroscience (SoCoNeuro) Lab, focusing on behavioral and neural mechanisms of social perception in neurotypical and neurodivergent populations, including autism spectrum disorders and the neurocognitive effects of concussion. His research integrates methodologies such as eye-tracking, EEG, and fNIRS to study visual perception, face processing, and the impact of stress/anxiety on cognition. Dr. Laycock holds a PhD from La Trobe University, where he investigated visual processing pathways. His work also includes the BabyFace study, exploring social perception in pre-term infants using fNIRS. He is affiliated with RMIT’s Healthy Foundations Research Group and supervises research projects on topics like concussion neurocognition and social media’s neurobiological effects. Research interests span visual neuroscience, social neuroscience, and clinical applications of neuroimaging. He teaches undergraduate courses in Biological Psychology and supervises postgraduate research in vision science, neuropsychology, and affective neuroscience. His lab’s recent studies examine sex differences in sports-related concussion neuroimaging and the role of deepfakes in emotion perception research. He actively collaborates on projects addressing autism traits, stress effects on visual processing, and neuroimaging advancements.
Mark Billinghurst is a Professor and Director of the Australian Research Centre for Interactive and Virtual Environments at UniSA STEM, University of South Australia. His work focuses on Augmented Reality (AR), Virtual Reality (VR), and empathic computing, emphasizing remote collaboration, human-computer interaction, and inclusive design. He has authored influential books like Computer-Supported Collaboration: Theory and Practice (2024) and pioneered systems such as Empathy Glasses and gaze-tracking interfaces for collaborative tasks. Education & Affiliations: Mark Billinghurst is affiliated with the Empathic Computing Laboratory and has collaborated globally with institutions like Keio University, Nokia, and the University of Canterbury. His research spans AR applications in manufacturing, healthcare, and social interaction, with a focus on improving accessibility and user experience. Research Interests: Dr. Billinghurst’s research explores AR/VR for remote guidance, wearable technologies, and emotional interfaces. He investigates how gaze cues, multimodal feedback, and AI can enhance collaboration and empathy in virtual environments. His work bridges technical innovation with human-centric design, addressing challenges in industrial assembly, mental health, and workplace transformation. Publications & Impact: His 2016 study on gaze tracking in remote collaboration (cited over 100 times) and 2024 book on AR collaboration highlight his contributions. Recent projects include Vibe360 (group emotion analysis) and CAEVr (biofeedback-driven empathy systems). He actively contributes to conferences like IEEE VR and CHI, shaping the future of immersive technologies. Labs & Future Work: His lab develops tools like the SAR system for aircraft drilling and empathic agents (EMiRAs). Future directions include AI-driven emotional interfaces, inclusive metaverse design, and VR solutions for cognitive rehabilitation.
Dr. Anagha Vaze is a Clinical Lecturer affiliated with the University of Sydney's Faculty of Medicine and Health (FMH) and the Save Sight Institute. Her expertise lies in ophthalmology, with a focus on retinal disorders, diabetic eye diseases, and clinical research. She has contributed to studies on VEGF inhibitors, corticosteroid delivery platforms for macular edema, and the application of genomics in retinal diagnostics. Research Interests: Retinal degeneration and vascular abnormalities Management strategies for diabetic retinopathy and macular telangiectasia Clinical outcomes of anti-VEGF therapies Infectious diseases in immunocompromised patients (e.g., heart transplant recipients) Her publications (2014–2022) emphasize observational studies, drug delivery innovations, and case reports on rare infections. Key contributions include assessing treatment discontinuation protocols for neovascular AMD and exploring photobiomodulation for diabetic macular edema. While no scientific awards or grants are explicitly listed, her work reflects active engagement in clinical research and patient care. She is part of the Save Sight Institute, a prominent research center within the FMH, focusing on vision science and ophthalmic advancements.
Professor David Nichols is a faculty member in the Melbourne School of Design at The University of Melbourne, holding the position of Professor in Urban Planning. His research focuses on urban planning history, theory, and socio-cultural planning with particular attention to 20th century Australian contexts. He has authored/co-authored significant works including Urban Australia and Post-Punk: Exploring Dogs in Space and The Alert Grey Twinkling Eyes of C. J. DeGaris . His research interests span urban and cultural heritage, architectural history, and the socio-cultural dimensions of urban development. Notable projects include the 'PastPort' mobile app for citizen heritage engagement and studies on community activism in public space conservation. Nichols teaches courses on urban planning history and has contributed to debates on postwar planning education and regional development strategies. His academic output reflects interdisciplinary engagement with topics ranging from suburban morphology to audiovisual technology in education. Current work includes exploring the legacy of Walter Burley Griffin’s urban designs and reinterpreting Australian country town dynamics. He maintains active collaborations in cultural heritage preservation and community-driven urban initiatives.
Dr. Alex Black is an Associate Professor in the School of Optometry & Vision Science at Queensland University of Technology (QUT), Faculty of Health. He serves as Course Coordinator for the Master of Optometry program and leads the Vision and Everyday Function research group within QUT's Centre for Vision and Eye Research. His expertise spans vision science, ageing-related vision decline, falls prevention, and driving safety. Dr. Black holds dual qualifications: a PhD in Vision Science (QUT, 2010) and a Masters of Public Health (University of Queensland, 2012). Teaching roles: Coordinates OP85 Master of Optometry program Research focus: Vision impairment impacts on mobility, driving safety, and academic performance Awards: FAAO (Fellow of American Academy of Optometry), FHEA (Fellow of Higher Education Academy) Research highlights include AUD $3.2 million in grants, over 100 publications, and contributions to international journals like Clinical & Experimental Optometry . His work bridges clinical practice and research, addressing real-world issues through innovative studies such as night-time pedestrian safety clothing design and advanced driver assistance system (ADAS) usability for older adults. Key collaborations include NHMRC-funded projects on injury prevention and Vision and Driving research laboratory studies. Dr. Black also serves editorial roles for Clinical & Experimental Optometry and peer review activities.
Milind Tiwari is a Senior Postdoctoral Research Fellow in Financial Crime at the Australian Graduate School of Policing and Security, Charles Sturt University. He holds a PhD in Money Laundering from Bond University, a Master of Science in Finance from the University of Manchester, and a Bachelor of Business Administration from Christ University. As a Certified Fraud Examiner (CFE) and Certified Anti-Money Laundering Specialist (CAMS), he brings extensive industry experience from working with Big 4 firms including KPMG, EY, and Deloitte in both India and Australia. Dr. Tiwari's research spans multiple dimensions of financial crime with particular expertise in money laundering detection mechanisms, trade-based money laundering (TBML), food crime as a money laundering typology, and emerging threats in digital spaces including cryptocurrency and the metaverse. His work integrates advanced data analytics, blockchain technology, and artificial intelligence to develop innovative approaches to financial crime detection and prevention. His recent publications demonstrate a clear trajectory focusing on increasingly complex intersections of technology and crime, with substantial contributions in 2024-2025 covering metacrime, cryptocurrency exchanges, food crime, and metaverse policing. These works appear in high-impact journals across criminology, finance, and technology disciplines. Dr. Tiwari has received significant recognition for his work, including the Emerald Literati Award and the Vice-chancellor's award for outstanding thesis. He is an active member of professional organizations including the Association of Certified Fraud Examiners (ACFE), Association of Certified Anti-money laundering specialists (ACAMS), and Australia and New Zealand Accounting and Finance Association (AFAANZ). As an educator, Dr. Tiwari teaches specialized courses including JST 545 – Money Laundering and JST 549 – White Collar Psychopaths, bringing his practical industry experience and cutting-edge research directly into the classroom. His current research projects focus on TBML (Trade-Based Money Laundering) and CTAS, addressing critical vulnerabilities in the global financial system.
Associate Professor Andre Kyme is an academic staff member in the School of Biomedical Engineering at The University of Sydney. His research focuses on developing enabling technologies for biomedical imaging, including motion compensation in MRI/PET, robotic platforms for image-guided therapy, and cross-disciplinary applications like plant salt uptake analysis using PET. He collaborates with institutions globally and advises students on projects like lameness detection in horses and AI-based motion correction. Research Interests: Kyme's work spans motion correction in medical imaging modalities, medical robotics integration with imaging systems, and innovative applications of imaging technologies in non-traditional fields. His team emphasizes leveraging advancements in computer vision, machine learning, and instrumentation to improve imaging performance and accessibility. Recent Projects: Current research includes MRI-compatible robotic platforms for therapy applications, AI-driven lameness detection in horses, and pediatric neuroimaging improvements. He leads the BREEZE initiative to enhance MRI accessibility for children with cerebral palsy through eye-gaze communication technology. Publications: His work spans 20+ years with over 50 peer-reviewed publications in journals like Physics in Medicine and Biology and IEEE Transactions. Key areas include PET/SPECT/CT motion correction algorithms, robotic systems for medical imaging, and novel imaging applications in plant science. Teaching: Kyme instructs core biomedical engineering courses including thesis supervision and capstone projects at both undergraduate and postgraduate levels. Labs/Teams: Active in the Brain and Mind Centre and Biomedical Imaging, Visualisation and Information Technologies groups at Sydney. Collaborates with industry partners like TeleMedVet and academic institutions including University of California Davis and Chinese University of Hong Kong.
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. Nicole Hartnett is a Senior Marketing Scientist at the Ehrenberg-Bass Institute for Marketing Science, University of South Australia, where she conducts high-impact research on advertising effectiveness, brand performance, and consumer behavior. She serves as Associate Editor of the Journal of Advertising Research , contributing to the advancement of marketing science globally. Research Focus: Nicole's work centers on how advertising content influences sales, with particular emphasis on creative drivers, distinctive brand assets, and media planning. Her research integrates data analytics with behavioral insights to improve advertising measurement and strategic decision-making for consumer packaged goods companies. Her recent publications reveal a consistent focus on advertising effectiveness, brand health, and consumer response across digital and traditional media. She frequently investigates how brands perform when advertising is reduced or paused, the role of attention in video ads, and the validity of persuasion frameworks—demonstrating a strong commitment to evidence-based marketing. Scientific Recognition: Associate Editor, Journal of Advertising Research Prolific contributor to top-tier marketing journals including International Journal of Market Research , European Journal of Marketing , and Australasian Marketing Journal Advising & Grants: While no formal students are listed, Nicole collaborates extensively with global sponsors of the Ehrenberg-Bass Institute, managing brand health trackers and delivering strategic insights. Her work is applied in real-world contexts with major CPG firms, suggesting active engagement in funded research projects and industry partnerships. Labs & Teams: She is a core member of the Ehrenberg-Bass Institute, the world’s largest center for marketing science research, working within a team of over 60 marketing scientists focused on evidence-based brand growth.
Alex Holcombe is a Professor in the School of Psychology at the University of Sydney . His research spans two major domains: perception and attention (investigating visual information bottlenecks and temporal processing) and meta-science (advancing open science and reproducibility through tools like tenzing.club and editorial roles in open-access journals). Education: PhD in Psychology (Harvard), BA in Psychology and Cognitive Science (University of Virginia) Editorial Roles: Associate editor for WikiJournal of Science , Collabra: Psychology , and Meta-psychology His experimental psychology work uses behavioral studies to reveal limits in visual processing speed, feature binding, and attentional resource allocation. Key findings include the role of naps in learning, parietal lobe function in rapid letter processing, and temporal binding dynamics in perception. Recent publications focus on peer review reform (2025 PNAS ), contributorship attribution (2024 Accountability in Research ), and visual cognition (2024 Journal of Vision ). These works reflect his dual commitment to understanding perceptual mechanisms and improving scientific practices. Advising: Mentors PhD students including De-wei DAI, Jye MARCHANT, and Rasmus PEDERSEN Labs: Leads research on visual perception and attentional bottlenecks Grants: 2024 Core Funding Grant for object tracking research
Associate Professor Stefanie Becker is a cognitive psychologist at the School of Psychology, University of Queensland , where she has been employed since 2007. Her research focuses on attention, visual search, and the relational account of attentional guidance using EEG, fMRI, and eye-tracking. She was awarded a PhD in Cognitive Psychology from the University of Bielefeld (Germany) in 2007, receiving the National German Dissertation Award. Education: PhD in Cognitive Psychology/Experimental Psychology, University of Bielefeld, Germany (2007) Research Interests: Relational account of attention (guidance by relative features such as 'reddest', 'darkest') Emotion and attention dynamics (e.g., processing of emotional faces) Inattentional blindness and awareness Visual working memory and attentional interference Neural mechanisms of visual search Article Trends: Her recent work (2023-2025) explores how relational features guide attention independently of context, the role of consciousness in emotional face capture, and interactions between attentional selection and visual working memory. Earlier studies (2016-2022) investigate EEG clustering techniques, spatial attention modulation by task-relevancy, and the balance between bottom-up and top-down processes in visual search. Scientific Awards: National German Dissertation Award (2007) UQ Postdoctoral Research Fellowship (2009-2018) Supervision: She supervises and has completed several PhD and Master’s projects on attentional templates, emotional face processing, visual working memory, and sensory substitution. Students include Aimee Martin, James D. Retell, and others. Labs/Teams: Becker leads the Centre for Perception and Cognitive Neuroscience at UQ, collaborating on interdisciplinary projects involving cognitive psychology, neuroscience, and computational methods.
Professor Stephanie Watson OAM is a corneal surgeon and academic at the University of Sydney, leading the Corneal Research Group and serving as Head of the Corneal Unit at Sydney Eye Hospital. She holds leadership roles in Sydney Nano as co-Deputy Director for Industry, Innovation, and Commercialisation, and chairs key professional organizations including the Australian Vision Research Committee and the Asia Pacific Ophthalmic Trauma Society. Her clinical practice focuses on corneal and cataract surgery, with appointments at Sydney Eye Hospital, Sydney Children’s Hospital, and Prince of Wales Hospital. She is a RANZCO trainer and actively contributes to policy advocacy through roles in ARVO and other global bodies. Her research spans corneal therapies, keratoconus treatment via corneal cross-linking, dry eye disease management, and nanotechnology applications in ophthalmology. She leads the Save Sight Keratoconus and Dry Eye Registries, analyzing real-world patient outcomes and informing clinical guidelines. Her work bridges basic science (e.g., stem cell therapies) and clinical innovation (e.g., chitosan-based surgical adhesives), with notable contributions to antimicrobial resistance strategies in ocular infections and ocular trauma epidemiology. Professor Watson has been recognized with an Order of Australia Medal (OAM), the 2019 NSW Premier’s Prize for Science & Engineering, and global accolades including being named among the top 100 female ophthalmologists. Her research has driven advancements in corneal cross-linking techniques, dry eye quality-of-life metrics, and nanoparticle drug delivery systems. She actively engages in public education through media appearances, patient webinars (e.g., KeraClub series), and policy advocacy to address ocular health disparities. Her grants include projects on breast cancer chemotherapy’s ocular impact, AI-driven diagnosis of infectious keratitis, and high-throughput nanoparticle synthesis systems. She collaborates with industry partners like Brandon Capital and the Sydney Nano Institute, translating research into clinical solutions. Her leadership in international trauma registries (e.g., IGATES) advances global understanding of ocular injury patterns and preventive strategies.
Dennis Fehrenbacher is an Associate Professor in the Department of Accounting at Monash Business School, Monash University. He is actively engaged in research and teaching at the intersection of information systems and management accounting, with a strong focus on digital technologies and their organizational impact. Monash Business School, Monash University Department of Accounting Chair, Monash Business School Behavioral Laboratory Organizer, Experimental Research Cluster Associate Editor, Decision Support Systems Editorial Board Member, Behavioral Research in Accounting His research interests center on information system success, performance measurement, analytics, and the behavioral aspects of accounting. He employs empirical methods such as experiments, surveys, and archival analysis, often integrating emerging technologies like eye tracking and big data analytics to study cognitive biases in performance evaluation and decision-making. Dennis has developed innovative teaching methods, including workshops on Social Media Analytics using Python and MongoDB, and machine learning for business decisions. His recent research outputs span topics such as professional scepticism, multitasking, accountability in capital budgeting, and causal inference in judgment using balanced scorecards. These works reflect a consistent trend toward understanding human behavior in accounting systems through technological and experimental lenses. He has received recognition for his work, including: Best Paper Award - Management Accounting Stream (2020) Dennis has served as a reviewer for top journals like Journal of Management Information Systems and Accounting, Organizations and Society , and has been invited to speak internationally. He has led two major research projects funded by CIMA and AFAANZ, focusing on performance evaluation and information processing. His work contributes to the UN Sustainable Development Goals, particularly those related to quality education and decent work. He leads the Monash Business School Behavioral Laboratory, supporting experimental research in accounting and management. The lab facilitates advanced research using tools like eye tracking and data analytics, fostering a collaborative environment for empirical inquiry.
