Find Academic Supervisors

Assoc Prof Shahla Hosseini-Bai is an Associate Professor in Agricultural Ecology and Technology at Griffith University's School of Environment and Science. She leads transdisciplinary research in agroforestry, biochar, hyperspectral imaging, and post-harvest technologies. Her work focuses on reducing farm inputs, food loss, and environmental footprints through innovative technologies. She holds editorial roles for Journal of Soils and Sediments and Remote Sensing . Education: PhD in Environmental Science from Griffith University (2012). Research Interests: Biochar-based fertilizers, hyperspectral imaging for soil/food analysis, climate-smart agriculture, and agroforestry systems in the Pacific and Bangladesh. Her projects include developing carbon-negative fertilizers and enhancing nut industry efficiency. Grants & Projects: Over 30 funded projects, including a $1.1M Advance Queensland Fellowship for machine vision in nut quality, and ACIAR grants for PNG and Bangladesh initiatives. Recent grants include a $400K forest conservation project and a $730K Livelihoods in Forest Ecosystem Recovery program. Awards: 2022 Biochar Industry Researcher of the Year, 2021 Advance Queensland Fellowship, 2018 John Dillon Fellowship. Recognized for teaching excellence and research impact. Supervision: Leads over 20 HDR and Masters students in areas like hyperspectral imaging, biochar, and climate change. Notable supervisees include Marcela Martinez (Macadamia kernel chemistry) and Negar Omidvar (soil nitrogen dynamics). Labs & Teams: Theme Leader at the Centre for Planetary Health and Food Security. Collaborates with industry partners like Pyrocal Pty Ltd and Macadamia Farm Management.

• Agroforestry
• Soil Biochemistry
• Biochar Technologies
• +4 more

Assoc. Prof. Andrew Busch is the Head of the School of Engineering and Built Environment at Griffith University since 2024. With over two decades of academic experience, he specializes in machine vision for agricultural applications , medical imaging , human movement analysis , and marine science engineering . His research has secured over $14M in funding (including $6M from ARC and $7M from industry partners) and spans collaborations across disciplines. Education: PhD, Queensland University of Technology (2004) BEng (Electrical and Electronic), Queensland University of Technology (1998) Bachelor of Information Technology, Queensland University of Technology (1998) Andrew's research bridges computer vision and artificial intelligence with applications in smart farming , medical device development , and marine ecosystem monitoring . Recent works focus on sugarcane quality automation, retinal vessel delineation, and AI-driven energy systems for buildings. His 15 most recent publications (2025-2002) highlight trends in: Agricultural engineering (sugarcane billet analysis, strawberry grading) Medical imaging (retinal vasculature, speech enhancement) Energy systems (smart buildings, digital twins) Education innovation (industry placements, curriculum design) Scientific Awards: 2021: Excellence in Teaching - Group Educational Leadership Award (Highly Commended) Andrew has supervised 13 doctoral students across projects in aquaculture automation, sugarcane AI systems, and medical diagnostics. He chairs conferences like AAEE 2023 and leads programs such as the Bachelor of Advanced Engineering (Honours) . Labs & Teams: He collaborates with the Institute for Integrated and Intelligent Systems (2018-2024) and directs projects funded by Sugar Research Australia , ARC , and DFAT .

• Machine Vision
• Artificial Intelligence
• Medical Imaging
• +5 more

Alan Freeman is an Honorary Senior Lecturer affiliated with the Save Sight Institute and the Faculty of Medicine and Health at the University of Sydney. His work focuses on signal processing in the visual system, including neurophysiological mechanisms underlying binocular rivalry, motion perception, and visual cortex function. He holds a position that emphasizes research and academic contributions in neuroscience and vision science. Research interests span binocular vision, neural modelling of visual pathways, and perceptual stabilization. His studies investigate how ON/OFF visual channels interact, how motion direction selectivity emerges in the cortex, and the development of quantitative methods to assess visual processing without relying on subjective reports. Key themes include neurosciences and mental health, with a strong emphasis on interdisciplinary approaches linking physiology and psychology. Publications highlight a sustained focus on binocular rivalry suppression, visual cortex architecture, and retinal ganglion cell function. Recent work explores midget ganglion cell receptive fields in primates and the origins of motion direction selectivity. Earlier studies modelled orientation selectivity and examined cross-orientation interactions in human vision. Grants: 2006: Functional model of primary visual cortex 2004: The where and how of binocular rivalry He currently advises Shuzheng HUANG on a project involving circadian misalignment during jetlag. Freeman collaborates with institutions like the Save Sight Institute and has presented at major conferences including the Society for Neuroscience Annual Meeting and the Australian Neuroscience Society Annual Meeting. His research group contributes to understanding visual system signal processing through computational models and psychophysical experiments. The Save Sight Institute provides a platform for translating this work into clinical applications for vision health.

• Neuroscience
• Vision Science
• Visual Perception
• +3 more

Dr. Vivienne Guan is a Researcher at the Westmead Applied Research Centre within the Faculty of Medicine and Health at the University of Sydney. Her work focuses on nutrition science, public health, and the application of mobile health technologies to improve dietary management in chronic conditions such as multiple sclerosis and cardiovascular diseases. She leads interdisciplinary projects combining clinical nutrition with technological innovation, including developing mobile apps for personalized dietary guidance using computer vision and persuasive technology. Her research interests span dietary interventions, food choice analysis, and the validation of dietary assessment tools. Notable areas include the impact of avocado and walnut consumption on cardiometabolic health, as well as the role of nutrition in managing neurological conditions. Dr. Guan’s work emphasizes translating research into practical solutions for patient self-management and primary care. Her publications highlight expertise in systematic reviews, meta-analyses, and mixed-methods studies. Key contributions include evaluating food-based interventions, analyzing dietary reporting biases in clinical trials, and designing digital health tools for chronic disease support. Dr. Guan collaborates with the Westmead Applied Research Centre to bridge gaps between nutritional science and healthcare innovation, focusing on scalable solutions for population health challenges.

• Nutrition Science
• Public Health
• Mobile Health Technology
• +3 more

Dr. Jin Huang is a Lecturer in the Discipline of Physiology at the University of Sydney's School of Medical Sciences. Her research focuses on glaucoma pathophysiology, particularly the effects of elevated intraocular pressure on retinal ganglion cells. She employs mouse models with advanced techniques like patch-clamp recordings and confocal microscopy to study neural signaling changes. Collaborating with Dr. Dario Protti, her work aims to elucidate mechanisms underlying glaucomatous vision loss. In teaching, she instructs neuroanatomy, neurophysiology, and anatomy to diverse health science students across various programs. Her pedagogical methods include lectures, practical sessions, and distance education. She actively contributes to academic governance as a subject coordinator and member of the Learning and Teaching Committee. Huang's outreach efforts include promoting neuroscience literacy through school programs and public events, scoring highly in student evaluations. She also volunteers with Glaucoma Australia and the Australian Museum's science education initiatives. Her research has been supported by grants such as the Rebecca L Cooper Medical Research Foundation's 2013 equipment grant. Key collaborations extend to institutions like the University of Sydney and international partners in optogenetic research.

• Glaucoma
• Neurophysiology
• Retinal Ganglion Cells
• +4 more

Mariano Cabezas Grebol is a Postdoctoral Research Fellow at Macquarie University's Hearing Research Centre and an Adjunct Senior Lecturer at the University of Sydney (2024–2026). His research focuses on neuroimaging, artificial intelligence in healthcare, and multiple sclerosis. He has published extensively, with over 2,264 citations and an h-index of 21. Key research interests include: Medical imaging techniques (MRI, DTI) AI-driven diagnostic tools Biomarker discovery in neurology Data infrastructure for health studies Recent work includes validating AI-based MRI monitoring for multiple sclerosis and developing protocols for the HEaring Impairment Data Infrastructure (HEIDI) study. Collaborations span global institutions, emphasizing clinical translation of imaging technologies. His contributions bridge biomedical engineering and clinical practice, with applications in epidemiology and public health.

• Multiple Sclerosis Research
• Medical Imaging
• Artificial Intelligence in Healthcare
• +3 more

Dr Minh Huynh is an Adjunct Senior Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) affiliated with The University of Western Australia. His research focuses on radio astronomy, galactic evolution, and cosmology, with a particular emphasis on radio galaxy detection, survey methodologies, and advanced data analysis techniques. He has contributed to major projects like the Evolutionary Map of the Universe (EMU) and the WALLABY Pilot Survey. Key research interests include radio source classification, machine learning applications in astronomy, and the development of novel data formats for spectral-domain observations. He has collaborated on international initiatives involving the Square Kilometre Array and led projects on black hole feedback mechanisms in deep radio surveys. Notable contributions include pioneering work in automated radio galaxy detection via computer vision (RadioGalaxyNET), creation of the RG-CAT radio galaxy catalogue, and development of the SDHDF data format for spectral radio astronomy data. His work bridges observational astronomy with computational methods to advance understanding of galaxy evolution and cosmological structures. Minh has secured grants for large-scale cosmological surveys and has published extensively in leading journals like the Publications of the Astronomical Society of Australia. His datasets, including EMU pilot survey catalogues and WALLABY source findings, are widely utilized in astronomical research.

• Astronomy
• Astrophysics
• Radio Astronomy
• +3 more

David Glance is an Adjunct Professor at the School of Physics, Maths and Computing, specializing in Computer Science and Software Engineering at The University of Western Australia. He holds a PhD in Physiology from Imperial College London (1985), focusing on placental blood flow mechanisms. His research expertise spans Cybersecurity, Health Informatics, AI, and Cloud Computing with notable work in adversarial machine learning, deep learning applications in healthcare, and ethical AI governance. Dr. Glance has contributed to 41 research outputs and secured 15 grants, including projects on dementia screening tools for Indigenous populations and AI-driven diagnostic support systems. His research interests emphasize translating technology into clinical practice, such as diabetic foot risk calculators and cancer diagnostic tools for general practitioners. Collaborations include global health organizations and interdisciplinary teams. He has advised on Australian parliamentary submissions regarding AI ethics and human rights in technology. Dr. Glance's work aligns with UN Sustainable Development Goals related to health and innovation. Recent publications explore adversarial attacks on deep learning models, cognitive bias modification for depression prevention, and visual field analysis using deep learning. He has led grants totaling over AUD millions, including a 4-year project enhancing Indigenous cognitive assessment tools. His engagement includes submissions to parliamentary inquiries and white papers on AI governance, reflecting his commitment to technology's societal impacts.

• Cybersecurity
• Health Informatics
• Artificial Intelligence
• +4 more

Atif Mansoor is a Lecturer in Computer Science and Software Engineering at the University of Western Australia, affiliated with the School of Physics, Maths and Computing. He is also part of the Planning and Transport Research Centre within the School of Social Sciences. His research spans interdisciplinary areas including computer vision, machine learning, IoT systems, and probabilistic graphical models. Mansoor has supervised numerous graduate students, contributing to advancements in automated inference, infrastructure monitoring, and image quality assessment. Recent research focuses on parallel Bayesian network inference, IoT-based structural health monitoring, and remote sensing applications for agriculture. His work integrates machine learning with domain-specific challenges in healthcare, urban planning, and environmental science. Mansoor has collaborated on projects funded by initiatives like the iMove CRC, emphasizing practical solutions for infrastructure and transportation systems. His academic contributions include over 50 peer-reviewed publications and active participation in international conferences. Mansoor’s teaching and research reflect a commitment to innovation in computational methods and their societal applications.

• Computer Vision
• Machine Learning
• IoT and Sensor Networks
• +4 more

Dr. Edi Nuryatno is a Senior Lecturer at The Adisutjipto Institute of Aerospace Technology and holds adjunct roles at National Institute of Technology and National Research and Innovation Agency. His primary affiliation is with The University of Western Australia. He specializes in Health Informatics, Clinical Algorithms, Digital Health, and Urban Health. Graduated with a PhD in MIS from Edith Cowan University, he has received prestigious awards including the 2024 Impact and Innovation Award and the iPREP WA Scholarship. Education: MIS, PhD - Doctor of Philosophy, Edith Cowan University Research Interests: Dr. Nuryatno’s work focuses on Health Informatics applications in clinical algorithms, digital health systems, and urban health management. His research integrates data science with healthcare operations, addressing challenges in medical asset tracking, vaccine distribution via blockchain, and AI-driven healthcare solutions. Recent projects include real-time arrhythmia detection and health passport systems. Publications: His recent work spans AI in healthcare asset management, blockchain for vaccine distribution, and YOLO-based medical imaging systems. These studies highlight trends in applying machine learning to improve healthcare logistics and diagnostic processes. Awards: Excellent in Research: 2024 High Commened - Impact and Innovation Award Industry and Research Engagement Program Western Australia (iPREP WA) International Postgraduate Research Scholarship (IPRS) - Edith Cowan University (ECU) Advising & Activities: Supervises Higher Degree by Research students at UWA. Actively contributes to global initiatives like the Asia-Europe AI Network (AE4AI), focusing on AI governance and sustainable development. Has delivered keynote speeches at international forums including the International Symposium on Medical Devices and Technology Innovation (2023). Labs/Teams: Collaborates with the UWA Medical School and leads projects under the AE4AI Network, emphasizing interdisciplinary AI applications in healthcare and urban systems.

• Health Informatics
• Clinical Algorithms
• Digital Health
• +3 more

Roles & Affiliations: Danial Roshandel holds the position of Adjunct Senior Research Fellow at the University of Western Australia (UWA) Medical School and the Centre for Ophthalmology and Visual Science (affiliated with the Lions Eye Institute). His academic journey includes roles as an Assistant Professor at Shahid Beheshti University of Medical Sciences (2015–2018) and Consultant Ophthalmologist at Kamkar Hospital (2014–2015). Primary University: The University of Western Australia Medical School: UWA Medical School Research Centre: Centre for Ophthalmology and Visual Science Education: Doctor of Philosophy (PhD) in Ophthalmology, UWA (2018–2022) Specialist in Ophthalmology, Shahid Beheshti University of Medical Sciences (2010–2014) Doctor of Medicine (MD), Golestan University of Medical Sciences (2003–2010) Research Interests: Focus on ocular surface disorders, limbal stem cell transplantation, dry eye disease, and genetic eye diseases. Key areas include biobanking for congenital aniridia (2022–present), retinitis pigmentosa progression monitoring (2018–2021), and corneal neovascularization (2014–2018). Publications & Research Trends: Recent work emphasizes stem cell therapies, adaptive optics imaging, and genetic predisposition studies. Notable contributions include studies on limbal stem cell differentiation and clinical applications of induced pluripotent stem cells. Awards: University Postgraduate Award (2018) Professional Activities: Serves as a peer reviewer for Scientific Reports , Retina , and Molecular Vision . Active in professional organizations like the Iranian Society of Ophthalmology and the Islamic Republic of Iran Medical Council. Labs & Collaborations: Collaborates with the Ocular Tissue Engineering Laboratory and the Lions Eye Institute. Research networks span Australia, Iran, and international partners in adaptive optics and genetic studies.

• Ocular Surface Disorders
• Limbal Stem Cell Transplantation
• Dry Eye Disease
• +3 more

Raphaël Phan is a Professor at the Malaysia School of Information Technology, Monash University, specializing in security, cryptography, and malicious AI. His research focuses on areas including privacy, emotion recognition, motion analysis, and generative AI, with a particular interest in adversarial behavior. He has published over 200 papers and secured research funding exceeding RM3 million from government and industry sources. Phan led projects such as the privacy-preserving data mining initiative funded by the UK government and Ministry of Defence, and co-designed the hash function BLAKE, a finalist in NIST’s SHA-3 competition. He currently supervises 18 PhD students and has graduated 13, focusing on topics like AI security, generative models, and neurological disease prediction using AI. Recent research contributions include advancements in adversarial AI, brain disorder identification via graph deep learning, and post-quantum cryptography. He actively serves on technical committees for major conferences (e.g., AAAI 2024, Eurocrypt 2024) and has an h-index of 49 with an Erdős number of 2. Key collaborations include projects on Parkinson’s disease tremor analysis, brain network prediction using signal decomposition, and Indo-Pacific post-quantum cryptography initiatives. His work aligns with UN Sustainable Development Goals addressing health and technological innovation.

• Security
• Cryptography
• Malicious AI
• +3 more

Dr Daniel Black is a Senior Lecturer in Media at Monash University's Faculty of Arts. He holds a PhD from RMIT University and has taught at both RMIT and Monash. His research focuses on technological embodiment, exploring how technology influences human action, perception, and understanding. Key areas include interfaces, robotics, artificial intelligence, and Japanese popular culture. He is affiliated with Monash's Film, Media, Communications and Journalism program. Dr Black has led or contributed to projects such as the 2006 ANU symposium on East Asian media flows. His work spans books like Digital Interfacing and Embodiment and Mechanisation , alongside peer-reviewed articles in journals like Body & Society and Theory, Culture & Society . He actively supervises PhD students in areas like video games, robotics, and AI ethics. Notable recent research includes studies on algorithmic surveillance in the 'behavior economy' and ethical questions around facial recognition technology. His work bridges philosophy, media studies, and technology studies, offering critical insights into digital culture and embodiment.

• Technological Embodiment
• Human-Technology Relationships
• Robotics
• +5 more

Jeni Lee is a Research Fellow at Monash University in the Department of Human Centred Computing and the ARC Centre of Excellence for Automated Decision-Making & Society (ADM+S), specializing in documentary filmmaking for social change with 15 years of professional experience. She holds a Masters degree in Communication for Social Change from the University of Queensland, with thesis works titled Reflections on Another World and Still I Rise . Her research integrates visual storytelling with critical technology studies, focusing on ethical AI implementation through people-centered documentary practices. She investigates how automated decision-making systems impact gender norms, climate justice initiatives, and community diversity, using filmmaking as a tool for participatory research and public engagement. Her recent work analyzes transport mobilities through the lens of inclusive AI development, identifying industry trends and future pathways for socially responsible technological adoption in urban mobility systems. SCINEMA Social Impact Award for Digital Energy Futures documentary (2023) As a core researcher in the ARC Centre of Excellence for Automated Decision-Making & Society, she leads documentary projects examining AI's societal impacts through grants supporting ethical technology development. Her collaborative approach involves co-creation with cultural institutions, activists, and academic partners across 100+ commissioned documentary hours. She actively contributes to the ADM+S research ecosystem through symposium organization, visual methods workshops, and international film festival collaborations including SXSW and Adelaide Film Festival.

• Documentary Filmmaking
• Communication for Social Change
• Ethical AI
• +3 more

Dr. Mohd-Zulhilmi Paiz Ismadi is a Senior Lecturer at Monash University's School of Engineering, specializing in Mechanical Engineering. He holds a PhD in Fluid Mechanics of Bioreactors from Monash University (2013) and a BEng (Hons) in Mechanical Engineering (2009). His research bridges academia and industry, focusing on imaging techniques, stratified flow behavior, and non-destructive assessment. He has secured over RM2 million in grants and collaborates with multinational organizations. Dr. Ismadi teaches courses such as MEC2402 Engineering Design I and MEC4407 Design Project. His industrial expertise includes engineering consultancy for government/private sectors and development of machine learning-driven data interpretation systems. He serves as Head of Panel at Malaysia's Engineering Accreditation Council (EAC) and contributes to youth development via the Ministry of Youth and Sports. Research highlights include wind turbine performance optimization, crack segmentation using deep learning, and acoustic-enhanced water treatment. He has published 24+ articles and received the 2019 PVC Excellence in Education Award. Current projects involve Bayesian Monte Carlo methods for pipe damage assessment and single-pixel imaging via generative adversarial networks. Dr. Ismadi's work aligns with UN SDGs related to affordable energy and sustainable cities. He actively peer-reviews for journals like Measurement and IEEE Sensors Journal , and chairs accreditation panels for engineering programs.

• Imaging Techniques
• Stratified Flow Behavior
• Experimental Fluid Mechanics
• +4 more