Minh Hoai Nguyen is a Professor at the School of Computer and Mathematical Sciences and the Australian Institute for Machine Learning (AIML) at the University of Adelaide. Previously, he was a tenured Associate Professor at Stony Brook University (2014-2024) and worked at VinAI Research in Vietnam. He holds a Bachelor of Software Engineering from the University of New South Wales (2006) and a PhD in Robotics from Carnegie Mellon University (2012). His research focuses on computer vision and machine learning, with specialization in human attention modeling, gaze prediction, action recognition, and object counting. Recent work explores applications in educational technology, driver monitoring, and multimodal interaction systems using advanced deep learning approaches. Publication analysis reveals strong emphasis on attention mechanisms across domains, with recent works exploring: (1) Gaze and scanpath prediction using transformer architectures, (2) Few-shot learning for action counting and personalized modeling, (3) Multimodal analysis of cognitive states, and (4) Efficient scene-adaptive vision systems. His research consistently bridges theoretical machine learning with practical applications in human behavior analysis. Scientific Awards: Best Student Paper Award at IEEE CVPR (2012)
Associate Professor Charles Caraguel affiliated with the School of Animal and Veterinary Science at the University of Adelaide specializes in aquatic animal health and epidemiology. After graduating from the National Veterinary School of Toulouse and obtaining a specialized diploma in aquaculture and fish pathology from Nantes, he completed a Master of Science at the Lobster Science Centre in Canada. His PhD in aquatic epidemiology at the Centre for Aquatic Health Sciences focused on infectious salmon anaemia virus diagnostics. Education : DVM (Toulouse), MSc (Canadian Lobster Science Centre), PhD (Atlantic Veterinary College) Research Areas : Aquatic epidemiology, diagnostic test validation, zoonotic disease dynamics, wildlife-livestock interface health Supervision : Eligible to supervise Masters and PhD students in animal health and disease ecology Publications : 15 most recent works address climate-disease modeling, metatranscriptomics in aquaculture, and zoonotic pathogen surveillance His field-based epidemiology research informs evidence-based health policies for aquaculture industries, emphasizing complex interactions between environmental factors, host responses, and disease management effectiveness.
Mariano Cabezas Grebol is a researcher affiliated with the Brain and Mind Centre at the University of Sydney . He earned a BSc in Computer Science (2009) and an MSc in Automation, Computation, and Systems (2010) from the University of Girona , followed by a PhD in Technology (2013) focused on atlas-based segmentation of multiple sclerosis lesions . His research bridges neuroimaging and AI models , with specific interests in image synthesis (GANs) , segmentation (cross-sectional/longitudinal) , classification (disease prediction) , uncertainty metrics , and model interpretability . His work has broad implications for Alzheimer's disease , multiple sclerosis , and brain tumor analysis. Scientific Awards : 2020: Understanding Alzheimer's disease with deep learning and neuroimaging grant from the Brain and Mind Centre. International Collaborations : University of Yamagata, Japan (with Dr. Yago in Data Science). VICOROB group, University of Girona, Spain (long-term relationships). His career spans postdoctoral work at VHIR (Hospital Vall d'Hebron) , a Juan de la Cierva-Incorporación fellowship at NIC-VICOROB, and current leadership in developing AI tools for brain image analysis alongside Prof. Michael Barnett in Sydney.
Dr. Justtina John serves as Lecturer and Diploma Program Leader in the Department of Computing, School of Engineering, Computing and Built Environment at University of Wollongong Malaysia KDU Penang University College. With over 14 years at the institution since 2011 and 20+ years total in Malaysian private higher education, she teaches core courses including Object Oriented System Analysis and Design, Business Information Systems, and Strategic Systems Management across diploma and bachelor programs. Her educational credentials feature a Doctorate of Business Administration (2018), MSc in Information Technology (2003), and Bachelor in Information Technology (2001), all from Universiti Utara Malaysia. The doctoral research employed PLS-SEM methodology to investigate workload pressure, person-job fit, and innovation trust effects on educator creativity in Malaysian private universities. Dr. John's research program bridges educational psychology and computing applications, with dual streams examining higher education dynamics and information systems development. Her scholarly output since 2015 demonstrates consistent publication in both educational research (focusing on faculty creativity metrics) and applied computing (including route optimization systems and environmental data visualization tools), reflecting an interdisciplinary approach to academic challenges. As Diploma Program Leader, she oversees operational management for Diploma in Information Technology and Diploma in Digital Animation programs, handling curriculum revisions, student coordination, and academic quality assurance. Her international collaboration with Gorondutse, A.H. at the 2017 Asian Academy of Management Conference indicates active engagement with global academic networks, while her quantitative research expertise provides methodological rigor to institutional improvement initiatives.
Dr. Iqbal Hossain serves as a Lecturer at Swinburne University of Technology's School of Engineering in Melbourne, Australia, where he also acts as Course Director for the Graduate Certificate in Infrastructure Engineering Management. Additionally, he works as a Water Resources Consultant at KF Engineering Pty Ltd., Melbourne, bringing practical industry experience to his academic role. As a member of both The Institute of Engineers Australia and the Institute of Engineers Bangladesh, Dr. Hossain maintains strong professional connections across international engineering communities. Dr. Hossain's research spans water resources engineering with particular focus on climate change impacts, rainfall forecasting, water quality modeling, and sustainable water management. His work addresses critical challenges in urban stormwater management, including constructed wetland performance, heavy metal contamination assessment, and climate-resilient infrastructure design. He has developed innovative approaches for rainfall disaggregation, water footprint assessment, and arsenic removal techniques, demonstrating both theoretical rigor and practical application. His publication record shows a consistent trend toward integrating advanced modeling techniques with traditional hydrological approaches. Recent articles demonstrate increasing use of artificial neural networks alongside conventional models, reflecting a broader shift toward machine learning applications in water resources. His work consistently addresses climate change impacts across various water resource domains, from rainfall patterns to bushfire effects on water supply reliability. Dr. Hossain actively supervises HDR students across diverse topics including microplastics exposure, construction management with data science, building energy efficiency, and streamflow prediction. His supervision portfolio reflects his commitment to developing the next generation of water resources professionals who can address complex, interdisciplinary challenges. His research directly contributes to UN Sustainable Development Goals 13 (Climate Action) and 6 (Clean Water and Sanitation), demonstrating his commitment to addressing global water challenges through both academic research and practical consulting work. His dual academic-industry role provides valuable real-world context to his teaching and research activities.
Hephi Liauw serves as Lecturer and Head of School at Swinburne University of Technology Sarawak's School of Foundation Studies. An academician and business analyst, she specializes in E-Commerce, Business Information Systems, Software Engineering, Computer Programming, Multimedia, Web Design and Development, and Digital Technology. Her educational foundation includes a Bachelor of Computer Science from the University of Wollongong, Australia, with current pursuit of a Master's degree at Universiti Malaysia Sarawak (Unimas). Professional development encompasses certifications from Laureate International Universities in Train the Trainer, Problem-Based Learning, and Action Research Methodology and Process. Research focuses on data driven modelling and digital technology applications for business solutions, particularly demonstrated through environmental monitoring systems like soil moisture retrieval. Her work bridges computational methods with commercial implementations, emphasizing practical digital innovation for contemporary challenges. Though limited to 2015 publications in available materials, her research trajectory shows consistent interdisciplinary work at the intersection of computer science, environmental monitoring, and business technology through data-driven approaches. Professional recognition includes: Certified Professional, Australian Computer Society (ACS) As an academic leader, she oversees foundation program development while maintaining active teaching in digital technologies. Her supervision approach emphasizes practical skill development and industry-relevant applications, though specific grant details aren't documented. Current research directions indicate growing focus on business applications of digital modeling techniques. Leading the School of Foundation Studies, she cultivates an environment for foundational computing education while advancing innovative teaching methodologies including problem-based learning frameworks across introductory technology curricula.
Dr. Bin Liang is a Senior Lecturer at the University of Technology Sydney (UTS), working within the Faculty of Engineering and Information Technology and the Data Science Institute. He joined UTS in December 2018 as a Lecturer and was promoted to Senior Lecturer in July 2022, following his postdoctoral fellowship at Data61 (CSIRO). PhD in Computer Vision, Pattern Recognition, and Machine Learning from Charles Sturt University, Australia (2012-2015) Masters in Computer Science from Taiyuan University of Technology, China (2009-2012) BEng in Computer Science from Taiyuan University of Technology, China (2005-2009) Dr. Liang's research spans data mining, machine learning, computer vision, pattern recognition, and survival analysis, with a strong focus on practical applications in critical infrastructure. His work develops sophisticated machine learning frameworks for anomaly detection, failure prediction, and optimization in water infrastructure, flood mapping, and real estate appraisal. He has pioneered approaches that integrate graph neural networks with temporal analysis for pipe failure prediction and has made significant contributions to water quality optimization through data-driven methods. His research consistently bridges theoretical advancements with practical implementation in industry settings. His recent publications demonstrate a clear trajectory toward increasingly sophisticated models that capture complex temporal and spatial relationships in infrastructure data. There's a notable emphasis on multimodal learning approaches and domain generalization techniques that enhance model robustness across diverse application scenarios. His work on anomaly detection frameworks like MLAD shows innovation in grouping sensors by temporal characteristics for more accurate monitoring. 2022 – AWA R&D Excellence Award (NSW) 2022 – UTS Medal for Research Impact 2022 – Finalist for 2021-22 AWA Young Water Professional of the Year Award (NSW) 2020 – Finalist for the Best Paper Award of the ICARCV 2020 2019 – Industrial & Primary Industries Merit at the Victorian iAwards 2018 – Australian Museum Eureka Prize for Excellence in Data Science Dr. Liang actively supervises Masters Research and PhD students, focusing on data science applications for infrastructure management. His research has been supported through industry partnerships with water utilities and other infrastructure organizations, translating academic research into practical solutions that reduce water loss, improve infrastructure reliability, and enhance environmental sustainability. His work on pipe failure prediction and leak detection has directly contributed to operational improvements in water distribution networks. As a core member of the Data Science Institute at UTS, Dr. Liang collaborates with interdisciplinary teams working on data-driven solutions for urban infrastructure challenges. His research group focuses on developing scalable machine learning models that can be deployed in real-world settings, often working directly with industry partners to validate and implement their approaches. This industry-academia collaboration ensures that his research remains grounded in practical challenges while pushing the boundaries of data science methodology.
Dr Lisa Pont is a Professor in the Discipline of Pharmacy within the Graduate School of Health at the University of Technology Sydney (UTS), where she also serves as Deputy Head of School for Teaching and Learning. She is a registered pharmacist with extensive expertise in clinical pharmacology and medication safety, contributing significantly to research in antimicrobial resistance, pharmacoepidemiology, and quality use of medicines. Dr Pont's educational background includes: PhD in Clinical Pharmacology on Quality Use of Medicines from the University of Groningen, The Netherlands MSc in Epidemiology from the London School of Hygiene & Tropical Medicine Bachelor of Pharmacy from the University of Tasmania Bachelor of Science from the University of Newcastle Australia Her research focuses on improving medication safety and optimizing drug therapy across various healthcare settings. Dr Pont has made significant contributions to understanding antimicrobial resistance patterns, particularly in community and long-term care settings. Her work examines how community pharmacists can enhance antibiotic stewardship and how data systems can track medication utilization to improve access to therapies. She has developed and validated assessment tools for medication safety processes in nursing homes and investigates the relationship between medication safety practices and actual medication use. Dr Pont's expertise extends to pharmacoepidemiology, with particular interest in drug utilization research methods and applications across the Western Pacific Region. Dr Pont's recent publications demonstrate a strong focus on medication safety in aged care, antimicrobial resistance surveillance, and the impact of drug shortages on prescribing practices. Her work spans both clinical and policy-relevant research, often employing mixed-methods approaches including systematic reviews, cross-sectional surveys, and longitudinal data analysis. A notable trend in her research is the application of real-world data to address pressing medication safety issues in community and institutional settings, with increasing attention to geospatial analysis of resistance patterns and nanoparticle drug delivery systems. Dr Pont is actively involved in mentoring research students and has indicated availability for Masters Research or PhD student supervision. Her collaborative research network spans multiple countries and institutions, reflecting the international relevance of her work in pharmaceutical care and medication safety. She is a member of the UTS Ageing Research Collaborative (UARC) and contributes to the UTS Research Centre, demonstrating her commitment to interdisciplinary research approaches.
Dr Adrian Flynn serves as an Adjunct Senior Research Fellow in the Department of Ecological Plant and Animal Sciences at La Trobe University, Melbourne. His research focuses on marine ecosystem dynamics with particular emphasis on deep-sea environments, biogenic reefs, and fisheries resources across Australian and Pacific waters. His primary research domains include Marine Ecology, Deep-Sea Biology, Coral Reef Conservation, Biodiversity Assessment, and Ecosystem-Based Management. Recent work demonstrates intensive investigation of bryozoan reef complexes in Western Port, lanternfish assemblages throughout the Tasman Sea and Southern Ocean, and environmental implications of deep-sea mining in the Clarion Clipperton Zone. His methodology integrates field surveys, bioacoustic monitoring, and geospatial analysis to address conservation challenges in changing marine environments. Analysis of his 2019-2023 publications reveals consistent focus on habitat mapping for mining management, biogenic reef characterization, and mesopelagic community dynamics. His research increasingly incorporates citizen science approaches and multi-scale biodiversity assessments to inform ecosystem-based management frameworks, particularly regarding deep-sea mineral exploration impacts. Dr Flynn collaborates extensively through projects like the Western Port Bryozoan Reefs Research (funded by AGL and La Trobe University) and Clarion Clipperton Zone studies, working with Fathom Pacific Pty Ltd, government agencies, and international researchers on reef monitoring, megafauna surveys, and fisheries-oceanography linkages.
Dr. Andelija Milic is an accomplished researcher at Queensland University of Technology's Faculty of Science, specializing in aerobiology and atmospheric science. Her work focuses on pollen monitoring, airborne particulate matter, and the relationship between environmental factors and public health. She has been instrumental in the AusPollen Aerobiology Collaboration Network, contributing to national pollen monitoring standards and research. Her research interests span aerobiology, pollen monitoring systems, atmospheric chemistry, and the health impacts of airborne particles. Milic's work has significant implications for understanding how climate variations affect pollen distribution and allergen exposure, particularly in Australian contexts. She has pioneered methods for pollen identification, quality control in monitoring networks, and the application of environmental DNA analysis to study pollen diversity. Analysis of her publication record shows a strong focus on advancing pollen monitoring methodologies, understanding regional and seasonal variations in pollen distribution, and exploring the intersection between environmental factors and public health outcomes. Her research spans from fundamental atmospheric science to applied public health applications, with increasing emphasis on climate change impacts on pollen patterns. Among her notable contributions are the development of quality control protocols for pollen monitoring networks, investigations into long-term pollen trends in subtropical regions, and innovative citizen science approaches for pollen monitoring during the pandemic. Her work on the relationship between airborne pollen and SARS-CoV-2 infection rates represents important interdisciplinary research connecting environmental science and epidemiology. Dr. Milic has made significant contributions through her leadership in major collaborative projects including the AusPollen Partnership Project, which has established comprehensive pollen monitoring across eastern Australia. Her technical expertise spans advanced analytical methods including metabarcoding, environmental DNA analysis, and sophisticated statistical approaches to environmental data.
Professor Jim Woodburn serves as Head of School for the School of Allied Health, Sport and Social Work at Griffith University, where he joined in January 2021. A podiatrist and clinician scientist, he brings extensive expertise in biomechanics, arthritis, and diabetes-related foot conditions developed through training at prestigious institutions including Edinburgh, Leeds, and the National Institutes of Health. His research focuses on diabetic foot disease, rheumatic and musculoskeletal disorders, and the application of data science and geospatial mapping to identify risk factors for foot complications. As coordinator of the A-FOOTPRINT project, he pioneered 3D printing for custom orthoses, leading to European spin-out companies. His current research explores precision healthcare paradigms for diabetic foot management. His publication record demonstrates consistent contributions to rheumatology and foot health, with recent work emphasizing clinical guidelines, gait rehabilitation for rheumatoid arthritis, and innovative approaches to Charcot neuroarthropathy management. The research spans clinical trials, qualitative studies, and systematic reviews across multiple international collaborations. UK Medical Research Council (MRC) Clinical Training Fellowship (1997-2000) UK Medical Research Council (MRC) Clinician Scientist Fellowship (2000-2005) 2009 British Health Professionals in Rheumatology Droitwich Lecturer Fellow of the Faculty of Podiatric Medicine of the Royal College of Physicians and Surgeons of Glasgow Elected Fellow of the Royal College of Physicians of Edinburgh (2019, first podiatrist) Professor Woodburn has successfully supervised 17 PhD students and currently leads multiple funded research projects totaling over $AUD 24 million, including BioMotionAi and BioSpine 2.0. His work aligns with Sustainable Development Goals for Good Health, Quality Education, Industry Innovation, and Partnerships. He maintains active collaborations through Griffith University's Australian Centre for Precision Health and Technology.
