Find Academic Supervisors

• Cosmology
• Transient Astrophysics
• Machine Learning
• +4 more

Dr. Anais Moller is a Research Fellow at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. She leads the Fink broker (https://fink-broker.org) with real-time access to Vera C. Rubin Observatory transients, focusing on cosmology and transient astrophysics through machine learning-driven analysis of large astronomical datasets. Doctorat de physique de l'Univers (PhD), Université Paris Diderot 7, France Master 2 NPAC, Université Paris Diderot 7, France Licenciatura en Física, Universidad Simón Bolívar, Venezuela Her research intersects three major domains: Cosmological constraints using Type Ia supernovae as standardizable candles for dark energy studies Multi-messenger astrophysics through searches for gravitational wave counterparts and fast transients Machine learning algorithm development for transient classification and data-intensive astronomy Recent publications demonstrate her leadership in: Photometric redshift estimation for supernovae Host galaxy dust modeling Weak lensing analysis Time dilation measurements through supernova light curves Kilonova detection algorithms Scientific recognition includes: 2025 School of Science, Computing and Engineering Technologies Research Excellence Award 2024 Asia-Pacific Women in AI Award (space category) She actively supervises HDR (PhD) students in topics spanning: Primordial black hole density determination Fast transient detection Gamma-ray burst analysis Multi-wavelength transient studies Machine learning applications Gravitational wave host galaxy identification As Associate Investigator at ARC Centre of Excellence for Gravitational Wave Discovery (OzGrav), she contributes to the detection of electromagnetic counterparts to gravitational waves, while leading two Australian Research Council grants focused on explosive astrophysics and dark universe illumination.

Carolyn McGregorView profile

Professor

• Health Informatics
• Artificial Intelligence
• Big Data Analytics
• +3 more

Professor Carolyn McGregor is a distinguished academic holding positions at both University of Technology Sydney (UTS) and University of Ontario Institute of Technology (UOIT). At UTS, she serves as Professor in the Faculty of Engineering and Information Technology and School of Computer Science. At UOIT, she holds multiple leadership roles including Research Chair in AI for Health and Wellness, Director of the Joint Research Centre in AI for Health and Wellness, and former Canada Research Chair in Health Informatics. Professor, University of Technology Sydney (2017-present) Co-Director, Joint Research Centre in AI for Health and Wellness (2019-present) Research Chair in AI for Health and Wellness (2020-present) Research Excellence Chair in Health Informatics (2018-present) Professor, University of Ontario Institute of Technology (2011-present) Dr. McGregor earned her PhD in Computer Science from University of Technology Sydney (1998-2003) where she graduated with first-class honors. Her academic journey began with a Bachelor of Applied Science in Computer Science from the same institution (1987-1990). Her research expertise spans health informatics with a particular focus on neonatal critical care, where she pioneered work applying big data analytics to bedside monitoring in intensive care units. Her research interests have expanded to include AI applications in extreme environments including space, firefighting, military operations, and police wellness. She has developed innovative frameworks for reliable big data platforms that process high-frequency physiological streams for real-time clinical decision support. McGregor's publication record demonstrates remarkable breadth, moving from neonatal care applications to space medicine, law enforcement wellness, and veterinary disease control. Her work consistently applies computational methods to healthcare challenges across diverse contexts, with recent publications showing increased focus on AI applications in extreme environments and stress monitoring systems. Her research bridges computer science with clinical practice, creating tools that directly impact patient care and professional wellness. Member of the Order of Australia (2014) UTS Alumni Award for Excellence (2015) FBIT Research Excellence Award (2018) Two-time Canada Research Chair in Health Informatics IBM Centenary Video feature as significant innovator Dr. McGregor has secured substantial research funding from major organizations including Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council (NSERC), and Australian Research Council. Her funded projects include Autonomic Modulation Training for police resilience, Resilience Assessment for Firefighters, and Improving Neonatal Critical Care through Real Time Analysis. She has supervised numerous students and collaborators across disciplines, fostering interdisciplinary research teams focused on health informatics applications. Her leadership extends to directing the Health Informatics Laboratory and serving as Associate Dean of Research at UOIT. As Director of the Joint Research Centre in AI for Health and Wellness, she leads a multidisciplinary team developing AI solutions for health monitoring across extreme environments. Her work with NASA-related projects on space medicine and astronaut health demonstrates the far-reaching impact of her research framework, which has been adapted from neonatal care to space exploration contexts.

Grant DuthieView profile

Senior Lecturer

• Sports Analytics
• Athlete Performance Assessment
• Data Analytics
• +3 more

Dr. Grant Duthie is a Senior Lecturer at Australian Catholic University's School of Behavioural and Health Sciences, based at the Strathfield Campus. He joined in 2016 after a 15-year career in elite sport, including roles as a strength and conditioning coach in rugby and football. His expertise focuses on athlete assessment, data analytics, and team sport player tracking, with a particular emphasis on micro-technology applications. Dr. Duthie holds a PhD in Exercise Physiology from the University of Queensland (2004) and a Bachelor of Applied Science (Human Movement) from the University of Ballarat. He teaches sport and exercise science, coordinating courses in functional anatomy, resistance training, and data analysis for high-performance sport. He currently supervises five PhD students researching sport science and strength and conditioning. His research has explored GPS-derived acceleration in team sports, FIFA Electronic Player Tracking System validation, and movement characteristics in Australian Football League Women's competitions. He consults for national and international sports organizations, including FIFA, Rugby Australia, and the Japan Rugby Union. Key projects include analyzing electronic player tracking systems and optimizing data visualization for athlete monitoring. Dr. Duthie has contributed to over 50 peer-reviewed articles, focusing on wearable technology validation, player tracking, and sport biomechanics. His applied experience includes roles as a strength and conditioning coach for the Australian Rugby Union, South Sydney Rugby League, and the 2000 Sydney Olympics. He remains actively involved in elite sport, blending academic research with practical performance enhancement strategies. His lab affiliations include the Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre at ACU, where he leads projects on athlete performance metrics and data-driven decision-making in sports.

Vincent LimView profile

Researcher

• Gas Hydrate Engineering
• Thermodynamic Modeling
• Fluid Dynamics
• +3 more

Dr Vincent Lim is a Researcher in the Department of Fluid Science and Resources at the University of Western Australia. His research focuses on probabilistic modeling of gas hydrate formation, particularly in oil and gas production systems. He specializes in nucleation dynamics, inhibitor efficacy evaluation, and stochastic phase equilibrium analysis. Lim completed his First Class Honours in Chemical & Process Engineering at UWA in 2015, with a project on hydrate nucleation probability distributions. His work develops automated apparatus for high-throughput hydrate nucleation measurements, enabling data-driven design and management of subsea pipelines. Key areas include kinetic inhibitor performance assessment, hybrid inhibition strategies, and eco-friendly alternatives like cyclodextrins. Lim's contributions bridge fundamental thermodynamics with applied engineering solutions for energy infrastructure reliability. Recent research highlights include quantifying nucleation rates under varying conditions, evaluating minimum miscibility pressures for CO₂-EOR applications, and validating probabilistic models against experimental data from advanced measurement systems like the HPS-Alta apparatus. His interdisciplinary approach integrates fluid mechanics, materials science, and statistical analysis to address challenges in multiphase flow systems.

• Photogrammetry
• Remote Sensing
• Underwater Imaging
• +7 more

Dr. Petra Helmholz is an Associate Professor in the School of Earth and Planetary Sciences at Curtin University, specializing in Photogrammetry and Remote Sensing. She holds a German Dipl.-Ing. (M.Sc.) and Dr.-Ing. (Ph.D.) in Geomatics. Her research focuses on underwater, terrestrial, and airborne photogrammetry, with applications in health, agriculture, heritage mapping, and engineering. She has received multiple awards, including the Asia Pacific Excellent Award in Education (2018) and WA Spatial Awards. She serves as National Chair of the Remote Sensing & Photogrammetry Commission (SSSI) and is an Associated Editor of the journal PE&RS. Helmholz leads the Bachelor of Surveying program at Curtin and holds licenses in remote piloting and surveying. Her work bridges geospatial technologies with interdisciplinary fields like medicine and environmental science. Education: 2006–2012: Ph.D. in Photogrammetry, Leibniz University Hannover 2003–2005: Certified Licensed Surveyor, Germany 1997–2003: B.Sc./M.Sc. in Surveying, TU Berlin Research Interests: Underwater and airborne photogrammetry, 3D reconstruction for medical and heritage applications, thermal simulation of urban environments, and geospatial data analysis. Her projects include facial analysis for rare disease diagnosis, coral growth estimation, and pipeline monitoring. Publications highlight innovations in underwater imaging techniques, urban heat island studies, and medical 3D modeling. She actively contributes to international bodies like ISPRS and ASPRS, co-chairing working groups on geospatial data standards and applications.

• Aviation Network Development
• Airport Connectivity
• Transportation Logistics and Supply Chains
• +7 more

Tommy Cheung is a Senior Lecturer and Department Chair in the Department of Aviation, School of Engineering at Swinburne University of Technology, Australia. His research focuses on aviation network development, global airport connectivity, blockchain applications in air travel, and data-driven route planning. He holds a PhD in Computer Engineering from the University of New South Wales, Sydney, and has prior academic experience at Hang Seng University of Hong Kong and the Hong Kong University of Science and Technology. PhD in Computer Engineering, University of New South Wales, Sydney, Australia Former Assistant Professor, Hang Seng University of Hong Kong (2014–2018) Former academic, HKUST, Department of Electrical and Electronic Engineering 12+ years in advanced manufacturing and supply chain management in Hong Kong and Shenzhen Dr. Cheung's research interests span aviation network resilience, airport connectivity indices, smart technologies in air travel, and sustainable aviation. He investigates how global disruptions like pandemics and geopolitical conflicts affect air transport systems. His work integrates machine learning, Bayesian modeling, and spatial econometrics to analyze aviation networks and optimize operations. His recent publications reveal a strong trend in applying data analytics and AI to aviation policy, route planning, and service quality. Topics include flight delay forecasting, blockchain integration, self-connection optimization, and pilot remuneration. His work often involves large-scale datasets and interdisciplinary methods, contributing significantly to air transport policy and network modeling. Dr. Cheung has secured industry research funding, including a major grant from Textron Systems Australia for the Regional AAM Surrogate Trial. He actively supervises PhD and Master’s students on topics such as hydrogen in aviation, pilot fatigue monitoring, and advanced air mobility. His leadership extends to curriculum and departmental strategy as Chair of Aviation. He is involved in several research teams and collaborations, particularly in intelligent transportation systems and aviation innovation. His lab and project work integrate UAVs, IoT, and AI for infrastructure-less environments, contributing to next-generation mobility solutions.

• Machine Learning
• Pattern Recognition
• Computer Vision
• +3 more

Lei Wang is a Professor at the School of Computing and Information Technology, University of Wollongong, Australia, and Founding Director of the Centre for Artificial Intelligence. He holds a PhD from Nanyang Technological University (2004) and B.Eng/M.Eng from Southeast University (1996/1999). His research focuses on machine learning, pattern recognition, and computer vision, with applications in medical imaging and AI. He leads the VILA group, emphasizing visual information learning and analysis. Key contributions include over 200 peer-reviewed publications, with citations exceeding 14,600 (Google Scholar). Notable grants include ARC Discovery Project (2021) and NHMRC Ideas Grant (2020). He serves as Action Editor for Transactions on Machine Learning Research, Associate Editor for ACM Transactions on Intelligent Systems and Technology, and holds leadership roles in top conferences like CVPR, NeurIPS, and ICCV. His work spans collaborative perception, medical report generation, and few-shot learning.

• Radio Astronomy
• Cosmology
• Astrophysics
• +3 more

Ridhima Nunhokee is a Research Associate at Curtin University, affiliated with the Curtin Institute of Radio Astronomy (CIRA) within the School of Electrical Engineering, Computer and Mathematical Sciences (EECMS). Her work focuses on radio astronomy, particularly the Epoch of Reionization (EoR), utilizing instruments like the HERA and Murchison Widefield Array. She contributes to instrument calibration, signal analysis, and foreground mitigation in observational cosmology. Key projects include HERA Phase II deployment, PAPER-64 calibration, and multi-frequency galaxy cluster studies. Her research bridges theoretical astrophysics with observational challenges in detecting cosmic signals. Education details are not explicitly stated in the text. Her affiliations include CIRA and collaborations with international teams on major radio astronomy initiatives. Notable contributions include improving constraints on the 21 cm power spectrum and developing methodologies for systematic error mitigation in EoR experiments. Publications span 2014–2024, emphasizing calibration techniques, foreground modeling, and data analysis for cosmological signal extraction. Collaborations involve institutions like MIT Haystack Observatory, University of Cambridge, and the National Radio Astronomy Observatory.

Thuseethan SelvarajahView profile

Lecturer

• Machine Learning
• Deep Learning
• Computer Vision
• +3 more

Thuseethan Selvarajah is a Lecturer in Information Technology at Charles Darwin University's Faculty of Science and Technology. His research focuses on machine learning, deep learning, and computer vision with applications in emotion recognition, medical imaging, and precision agriculture. He contributes to UN Sustainable Development Goals through these technologies. Key projects include the Biosecurity Risk Area Tool for Northern Australia as a Chief Investigator. His work spans interdisciplinary collaborations in agriculture, healthcare, and transportation systems. Research interests include developing deep learning frameworks for plant disease detection, emotion analysis from facial and contextual data, and optimizing emergency vehicle networks. He has authored over 28 peer-reviewed publications and achieved an h-index of 11 with 293 citations (as of 2025). He supervises postgraduate research students in these domains. His technical expertise includes neural network architectures, transfer learning, and hybrid AI systems applied to real-world challenges like forest ecosystem monitoring and automated unit test generation.

Sigurd DyrtingView profile

Researcher

• Demography
• Population Studies
• Small Population Estimation
• +4 more

Sigurd Dyrting is a Researcher at the Northern Institute, part of the Faculty of Arts and Society at Charles Darwin University. He specializes in demographic analysis with a focus on small population estimation techniques and population projections for the Northern Territory of Australia. His work contributes to UN Sustainable Development Goals related to sustainable communities and reduced inequalities. His educational background includes a Bachelor's degree from the Australian National University and a PhD in Quantum Chaos in Atom Optics from the University of Queensland. This unique combination of physics and demographic expertise informs his methodological approach to demographic problems. Dyrting's research interests center on applying mathematical, statistical, and computational methods to demographic problems, particularly estimation techniques for small populations. His work emphasizes preparing inputs used by practitioners for demographic analysis and population projections. He has developed expertise in smoothing techniques like P-TOPALS for migration and mortality data, and has contributed to understanding internal migration patterns, population shrinking in the Northern Territory, and social capital measurement. His recent publications (2019-2025) show a strong focus on Northern Territory demographic challenges, with particular attention to migration flows, population projections, and methods for small area estimation. The research demonstrates a progression from theoretical demographic methods to applied policy-relevant studies addressing specific Territory challenges. Dyrting currently leads or collaborates on significant research projects including the Northern Territory Department of Health Population Estimates by Regions (2024-2025) and the Northern Territory Department of Treasury and Finance Demographic Research Grant (2024-2026). These projects address critical demographic challenges facing the Territory. He is registered to supervise postgraduate research and has been involved in multiple collaborative projects addressing Northern Territory demographic issues. His research has received media attention, particularly regarding population trends during the COVID-19 pandemic and strategies to address population shrinking in the Territory.

Joshua WileyView profile

Senior Lecturer

• Sleep
• Cancer
• Behavioral Medicine
• +6 more

Dr. Joshua Wiley is a Senior Lecturer at Monash University in the School of Psychological Sciences and Turner Institute for Brain and Mental Health, where he has been appointed since 2016. He previously completed his PhD at the University of California at Los Angeles in 2015 and trained in pragmatic randomized controlled trials through postdoctoral work with a primary care and prevention group. Dr. Wiley's research focuses on understanding and improving sleep and mental health, particularly in people after a cancer diagnosis. His work spans both basic science and applied intervention research, examining the daily and longitudinal dynamics of sleep, psychosocial factors, and health. His team has expertise in sleep and insomnia, emotion regulation, depression and anxiety, and cancer, using methods including clinical trials, ecological momentary assessment, actigraphy, digitomics, and statistics. His recent publications demonstrate a strong focus on personalized medicine approaches to sleep interventions, particularly in cancer contexts, as well as examining the relationship between daily activities and mental health. His work increasingly integrates AI and data analytics to develop personalized recommendations for interventions. APS Young Investigators Colloquium Award (2016) Dr. Wiley actively supervises PhD students and has secured over $10 million in competitive grant funding from major organizations including NHMRC, ARC, NIH, DoD, and Wellcome Trust. His lab emphasizes wellbeing alongside academic success, with a collaborative and supportive culture. He serves on editorial boards for journals including International Journal of Behavioral Medicine and previously for Sleep journal (2017-2022). His external position includes Honorary Research Fellow at Peter MacCallum Cancer Centre (2017-present).

Chelsea DobbinsView profile

Associate Professor

• Affective Computing
• Digital Health
• Human-Computer Interaction
• +3 more

Associate Professor Chelsea Dobbins holds a faculty position at the University of Queensland (UQ), leading the School of Electrical Engineering and Computer Science as Director of Teaching and Learning. Previously, she served as a Senior Lecturer at Liverpool John Moores University (UK). Her expertise spans Software Engineering, Digital Signal Processing, and Human-Computer Interaction with a focus on emotion detection via wearable sensors and lifelogging technologies. Education: Bachelor (Honours) of Science (Advanced) from Liverpool John Moores University Doctor of Philosophy (PhD) from Liverpool John Moores University Research Interests: Dr. Dobbins’ work integrates affective computing, digital health, and pervasive computing. Core areas include emotion detection through mobile/wearable sensors, lifelogging for memory augmentation, physiological computing, and applications in healthcare. Her research has been supported by the UK’s EPSRC, notably for developing mobile platforms to detect negative emotions during driving. Key Contributions: She pioneered studies on neuroadaptive gaming for pain distraction, smartwatch battery utilization analysis, and machine learning frameworks for fatigue detection. Her 2016 ACM award-winning work addressed multivariate mobile data mining. Impact: Featured in New Scientist and Times Higher Education Case study highlighted on Shimmer’s platform Active in interdisciplinary collaborations, bridging engineering, healthcare, and cognitive science Future Directions: Current projects explore wearable devices in cystic fibrosis management and immersive VR presence measurement. She advocates for health professional education via FHIR-based platforms and continues advancing human-centered computing solutions.

Nolan HoffmanView profile

Senior Lecturer

• metabolism
• skeletal muscle physiology
• molecular transducers of exercise
• +15 more

Dr. Nolan Hoffman is a Senior Lecturer at Australian Catholic University (ACU) within the Centre for Human Performance & Metabolism at the Mary MacKillop Institute for Health Research, Melbourne campus. An integrative physiologist, he supervises PhD students and teaches human biological sciences while leading research on exercise-metabolism interactions. His educational background includes: BSc with Honours in Biology from Butler University (2007) PhD in Cellular and Integrative Physiology from Indiana University (2012) Hoffman's research employs human, animal, and cellular models to investigate molecular networks of exercise and metabolic control. Key foci include: AMPK biology and glycogen metabolism in energy sensing Exercise signaling networks via phosphoproteomics and metabolomics Mechanisms underlying insulin resistance and type 2 diabetes His publication trends (2012-2025) demonstrate consistent innovation in exercise biochemistry, with recent work on HIIT signaling, ACL injury rehabilitation, and mitochondrial networks using multi-omics approaches. Scientific recognition includes: Australian Physiological Society Postdoctoral Publication Prize (2015) Garvan Institute Best Poster Award (2013) IUPUI Chancellor’s Scholar (2012) As a full HDR Supervisor, he leads multiple PhD projects and has secured A$650k+ in grants including an ARC Discovery Project (A$493k) on mitochondrial biogenesis and a Defence Science Institute grant on ACL injury. His editorial roles span Frontiers in Endocrinology and Asian Journal of Kinesiology, with extensive peer review for top journals including Cell Metabolism and Nature Communications. Hoffman collaborates through ACU's Centre for Human Performance & Metabolism and St Vincent's Institute of Medical Research, utilizing multidisciplinary teams for translational exercise physiology research.

Nanda AryalView profile

Research Fellow

• Biostatistics
• Health Analytics
• Clinical Trials
• +5 more

Dr. Nanda Aryal is a Research Fellow at the Centre for Health Systems and Safety Research within the Australian Institute of Health Innovation at Macquarie University. With extensive experience in health research settings, Dr. Aryal brings strong expertise in statistical theory, programming, and clinical trial design and analysis. His educational background includes a PhD in Statistics from The University of Melbourne and a Master of Science in Applied Mathematics with Modern Applications from The University of York. Prior to his current role, he worked for four years as a biostatistician at NHMRC Clinical Trial Centre, University of Sydney, and held positions at the School of Mathematics and Statistics, The University of Melbourne, and the School of Economics, The University of Adelaide. Dr. Aryal's research focuses on developing and evaluating statistical methods for analyzing complex health data. His work spans biostatistics, health analytics, clinical trials, Approximate Bayesian Computation, statistical learning, and health economics. He has conducted significant research using linked health information systems data to identify patterns and trends that inform health policy and decision-making. His recent work has particularly emphasized sepsis outcomes, surgical volume-outcome relationships, medication safety through health informatics, and emergency department care processes. His publication record shows a strong trajectory with 28 research outputs, including numerous high-impact articles in 2024-2025. These publications demonstrate expertise across health services research, critical care medicine, health informatics, and implementation science, with particular emphasis on statistical methodologies applied to real-world health data. Active researcher with 28 total publications Extensive collaboration across Australian healthcare institutions Research cited in multiple academic and social media platforms Work picked up by news outlets and academic discussion forums Dr. Aryal has collaborated extensively with researchers across multiple institutions, with notable work at major Australian healthcare research centers. His research has received attention through social media platforms (X, Bluesky), academic platforms (Mendeley), and news outlets, indicating the relevance and impact of his research in both academic and broader contexts.

Irene HudsonView profile

Professor

• Biostatistics
• Data Science
• Public Health Surveillance
• +7 more

Professor Irene Hudson is a Professor of Statistics and Data Analytics at RMIT University's School of Science, affiliated with the STEM College. She holds adjunct roles at the University of Newcastle and the University of Melbourne. Her research focuses on biostatistics, public health surveillance, computational intelligence, and data-driven solutions for global challenges like climate change and drug discovery. Key collaborations include work with the Global Burden of Disease Network (USA), the WHO, and CSIRO. Education & Experience: PhD (implied via academic roles) Prior academic posts at University of Cambridge, ANU, Melbourne University, Canterbury University (NZ), UniSA, and Swinburne University Research Interests: Biostatistical modeling of micro (molecules/brain anatomy) and macro systems (global disease/climate) Health informatics, causal inference, Bayesian statistics, and meta-analysis Drug discovery (e.g., calpain inhibitors for cataracts, protein kinase interactions) Climate change analytics and spatio-temporal modeling Key Projects: Chief Investigator in CRC Digital Health's Predictive Analytics (2022-2025) Sub-Program Leader in CRC HFPS (Melbourne University), mapping wood fiber microstructure with CSIRO Awards & Recognition: Elected Fellow of the Royal Statistical Society (UK) Grants & Labs: NHMRC collaboration on ovarian cancer markers ARC Centre of Excellence for Nanoscale BioPhotonics (diagnostics cytometry)