Find Academic Supervisors

• Neuro-Engineering
• Brain-Computer Interfaces
• Cognitive Neuroscience
• +5 more

Dr. Jia Liu is a Research Fellow at the Centre for Biomedical Sensing and Informatics , affiliated with the School of Biomedical Engineering at the University of Sydney . As a member of the University of Sydney Nano Institute , her work bridges neuro-engineering, brain-computer interfaces, and physiological signal analysis. Research Fellow, School of Biomedical Engineering, University of Sydney Member, University of Sydney Nano Institute Research Interests: Cognitive Enhancement through physiological signal analysis Advanced Brain-Computer Interface (BCI) development Neuro-Engineering applications in real-world scenarios Mobile Brain/Body Imaging (MoBI) system design Human orientation skills and therapeutic interventions Cognitive workload and physical fatigue interplay Publication Trends: Recent work focuses on graph neural networks for drowsiness detection, ERP-based inattentional blindness classification, and virtual global landmakr applications in spatial learning. Her methods integrate MoBI systems, VR, and real-time signal processing. Scientific Contributions: Published in prestigious journals (Nature Group, IEEE Transactions) Pioneering work on cognitive workload assessment using optical tomography Developed parameter-sharing neural networks for human state estimation Erratum corrections demonstrating rigorous research methodology Laboratory Affiliation: Works within the Centre for Biomedical Sensing and Informatics , leveraging interdisciplinary approaches to translate neuro-engineering research into practical applications.

• Biomedical Engineering
• Nanotechnology
• Targeted Drug Delivery
• +4 more

Morning Liu is a Postdoctoral Fellow at the School of Biomedical Engineering, University of Sydney. She is affiliated with multiple research centers including the Sydney Southeast Asia Centre, The Centre for Drug Discovery Innovation, The Net Zero Institute, and The University of Sydney Nano Institute. Her research spans interdisciplinary domains such as: Stimuli-responsive drug delivery systems Plasmonic biosensors and computational modeling SSVEP-based traumatic brain injury diagnostics Topology analysis of neural feature maps Organ-on-a-chip microfluidic platforms Nanotechnology for gene therapy Recent publications focus on nanocarrier design, biosensing algorithms, and biomedical signal processing. She received a 2024 grant for AI-enhanced drug discovery targeting subretinal fibrosis in age-related macular degeneration. Member of 4 research centers Published 6+ peer-reviewed articles (2022-2024) Active in biomedical engineering and nanotechnology

• Inverse Problem Analysis
• Groundwater Modeling
• Geophysical Methods
• +3 more

Klara Steklova is a researcher in the Department of Materials Physics at The Australian National University (ANU). Her work focuses on advanced geophysical and hydrological modeling techniques, with expertise in inverse problem analysis, groundwater systems, and subsurface flow dynamics. She specializes in integrating geophysical data with computational models to solve complex environmental challenges such as seawater intrusion, managed aquifer recharge, and tracer transport in geological formations. Her research interests span interdisciplinary applications including medical imaging (glymphatic system visualization), X-ray detector optimization, and environmental geophysics. She actively contributes to methodological advancements in state estimation and hydrogeophysical inversion techniques, with a focus on 3D modeling and practical field applications. Dr. Steklova’s publications demonstrate a strong record in computational geosciences, with impactful contributions to understanding groundwater dynamics and subsurface processes. She maintains an active role in supervising research students and advancing collaborative projects at ANU.

• Alzheimer's disease
• Neurodegenerative diseases
• Neuroinflammation
• +6 more

Dr Damian Holsinger is a Senior Lecturer in Neuroscience at the University of Sydney's School of Medical Sciences and Head of the Laboratory of Molecular Neuroscience and Dementia. His research focuses on Alzheimer's disease mechanisms, neurodegenerative disorders, and innovative treatments like fecal microbiota transplantation. He is also a member of the University of Sydney Nano Institute and serves on the Alzheimer's Association USA IRGP Council. Research interests include molecular mechanisms underlying Alzheimer's, neuroinflammation, and non-pharmacological interventions. He has published over 100 peer-reviewed articles and edited multiple journal special issues. Notable awards include the SUPRA Supervisor of the Year 2022 and NIH grants for BACE1 research. Key projects involve microbiota transplantation, nanoscaffolds for nerve regeneration, and electrical stimulation therapies. His work bridges clinical translation and basic science, with a focus on early-stage drug discovery and systems biology approaches. Teaching responsibilities include Neuroanatomy, Neuropathology, and Molecular Neuroscience courses (BIOS1166, BIOS1167, BIOS2166, BIOS3166). He advises PhD students on Alzheimer's-related projects and collaborates on grants exploring microglia-synapse interactions and glioma treatment strategies. Media engagements include ABC News commentary on neurodegenerative stress responses and radio discussions on pandemic-related mental health. His lab actively investigates biomarkers linking blood and brain signatures in Alzheimer's, leveraging interdisciplinary approaches.

• Reading Disorders
• Dyslexia
• Child Anxiety
• +5 more

Genevieve McArthur is a Professor in the Faculty of Education and Arts, specializing in reading disorders, dyslexia, and the intersection of literacy challenges with emotional health in children. Her research integrates cognitive psychology, educational neuroscience, and clinical practice to investigate how poor reading correlates with anxiety, self-concept issues, and developmental outcomes using methodologies like eye-tracking and EEG. Her core research domains include: Reading disorders and dyslexia subtyping Comorbidity of literacy difficulties and anxiety disorders Intervention efficacy for integrated reading-anxiety treatment Eye-tracking metrics as predictors of reading comprehension Consumer-grade EEG applications in educational research Telehealth delivery of literacy interventions Analysis of her 2020-2025 publications reveals a strategic shift toward interdisciplinary frameworks like the Listen to Learn for Life (L3) Assessment and the PRAX model, emphasizing longitudinal tracking of reading-emotional health relationships. Her work increasingly leverages technology (e.g., videoconferencing, portable EEG) while maintaining focus on real-world applications through community programs like Dolly Parton’s Imagination Library. Professor McArthur leads high-impact collaborative initiatives including the international Dyslexia Delphi Panel and multi-institutional studies on neurodevelopmental conditions, demonstrating active engagement in global research networks addressing educational and psychological challenges in at-risk youth populations.

Lina YaoView profile

Professor

• Machine Learning
• Recommender Systems
• Brain-Computer Interfaces
• +2 more

Professor Lina Yao is Senior Principal Research Scientist and Science Lead for Translational Machine Learning at CSIRO's Data61, with conjoint appointments at UNSW, Macquarie University, and UTS. Her research develops explainable machine learning methods for recommender systems, computer vision, and neurotechnology applications. Professor Yao has received numerous honors including the CORE Outstanding Research Contribution Award and recognition as a Clarivate Highly Cited Researcher. She leads multiple ARC-funded projects on human-AI collaboration frameworks.

Levin KuhlmannView profile

Associate Professor

• Digital Health
• Machine Learning
• Signal Processing
• +6 more

Levin Kuhlmann is an Associate Professor at Monash University's Department of Data Science & AI, affiliated with the Victorian Heart Institute. He holds a PhD in Cognitive and Neural Systems from Boston University. His research focuses on applying machine learning and computational neuroscience to digital health, neural engineering, and neuroimaging, with a strong emphasis on epilepsy and anesthesia modeling. Key research interests include data science, signal processing, and control theory applied to clinical challenges like seizure prediction and brain-state analysis. He leads projects such as the CSIRO Next Generation AI system for NDIS coaching and Neurodesk, a collaborative neuroimaging tool. His work aligns with UN Sustainable Development Goals related to health and innovation. Education: PhD in Cognitive and Neural Systems, Boston University. Awards: Includes the Australian Post-Graduate Award (2001), Best Paper Honorable Mention (ACM 2021), and Boston University Doctoral Fellowship (2001–2006). Projects: Over 8 active projects, including AI-augmented healthcare systems, high-performance brain imaging, and epilepsy monitoring with wearable devices. Dr. Kuhlmann has published extensively on seizure prediction, neural dynamics, and reproducible neuroimaging. His research has been featured in media such as The Wire and ZDNet, highlighting breakthroughs in epilepsy diagnosis and AI applications.

• Blockchain Law
• Technology Regulation
• Digital Assets
• +5 more

Lachlan Robb is a legal academic at Queensland University of Technology's Faculty of Business & Law, School of Law, specializing in the intersection of law and emerging technologies. His research primarily focuses on blockchain applications, digital asset regulation, and the legal implications of technological innovation. Robb's research interests span blockchain law, technology regulation, digital assets, regulatory overlap, smart cities jurisprudence, semiotics of law, and property law as it relates to technology. His work demonstrates a consistent focus on how legal frameworks must adapt to technological advancements, particularly in the financial and urban development sectors. He has developed a distinctive approach examining both the technical and cultural dimensions of technology regulation. An analysis of Robb's recent publications reveals a clear trajectory in his research, moving from foundational studies on blockchain technology's legal implications toward more nuanced examinations of specific applications like brain-computer interfaces and autonomous vehicles. His work consistently addresses the tension between innovation and regulation, often employing interdisciplinary methods drawing from legal theory, semiotics, and socio-technical studies. Regulatory Overlap 2011-2021: A Systematic Quantitative Literature Review (2022) Smart cities as panopticon: Highlighting blockchain's potential for smart cities through competing narratives (2021) Professions and expertise: How machine learning and blockchain are redesigning the landscape of professional knowledge and organization (2018-2020) Robb has established productive research collaborations across multiple institutions, frequently working with Felicity Deane, Kieran Tranter, and John Flood. His research has practical implications for policymakers, particularly in the areas of digital asset regulation and smart city development. His recent work on sustainable development goals integration in legal education demonstrates his commitment to addressing global challenges through legal education reform.

• Genomics
• Epigenetics
• Personalised Health
• +4 more

Dr Anita Sathyanarayanan is a Postdoctoral Research Fellow at the Centre for Genomics and Personalised Health, University of New South Wales. Her work focuses on integrating multi-omics data to understand complex diseases such as psychiatric disorders, cancers, and infectious diseases. She specializes in epigenetic mechanisms, genetic risk prediction, and translational biomarker discovery. Key research areas include: Epigenetic effects of trauma and childhood adversity Genetic links between blood analytes and severe diseases Multi-omics approaches for PTSD and cancer subtyping Pharmacogenetic optimization of lithium therapy Her methodological contributions span bioinformatics tool development for omics integration, ChIP-Seq analysis, and exome sequencing interpretation. Current projects emphasize personalized medicine applications in oncology and mental health. Lab affiliations: Centre for Genomics and Personalised Health (UNSW)

• Mobile Robotics
• Computer Vision
• Machine Learning
• +7 more

Dr. Tobias Low is a Senior Lecturer in Mechanical Engineering (Mechatronics) at the School of Engineering, University of Southern Queensland. He holds a BEng and PhD from Queensland institutions. With a career spanning over 14 years at USQ, he specializes in Mobile Robotics, Computer Vision, and Mechatronics. His research integrates autonomous systems, tactile sensing, and robotic navigation in agricultural and industrial contexts. Key research areas include robotic obstacle avoidance, deep learning applications in vision systems, and sensor technologies for precision agriculture. He has published extensively on topics like tactile feedback in robotic meat processing, stereo vision for leaf segmentation, and autonomous robot navigation in livestock environments. His work often bridges mechanical engineering with interdisciplinary fields such as nanotechnology (e.g., biodegradable nanofiber materials for fertilizer delivery) and environmental monitoring. Notable projects include developing tyre strain sensing systems for slip detection and integrating WSNs with mobile robots for agricultural applications. Dr. Low’s contributions span theoretical advancements (e.g., transfer learning in crack detection) and applied engineering solutions, reflecting a commitment to practical robotics and sensor innovation.

• Biomedical Engineering
• Neuroscience
• Gene Electrotransfer
• +4 more

Dr. Jeremy Pinyon is a Lecturer in the School of Medical Sciences at the University of Sydney, affiliated with the Charles Perkins Centre and the Centre for Drug Discovery Innovation. His research focuses on biomedical engineering applications, particularly gene electrotransfer technologies for neural interfaces and cochlear implants. Key areas include optimizing electroporation-based delivery systems for therapeutic agents, understanding auditory neuroscience, and investigating mechanisms of antibiotic resistance in bacteria. His work spans molecular biology, medical device innovation, and translational research. Notable contributions include advancements in close-field electroporation for gene therapy and studies on noise-induced hearing loss mechanisms. He holds patents for electroporation systems and has published widely in Advanced Science , Scientific Reports , and Science Translational Medicine . Recent research trends emphasize vector-free DNA/RNA delivery, calcium signaling in brain injury, and computational modeling of electrotransfer dynamics. His projects often bridge engineering and clinical applications, with grants supporting new academic initiatives in medical technology.

• Pain Management
• Chronic Pain
• Neurosciences
• +5 more

Associate Professor Paul Wrigley is a specialist pain medicine physician and Conjoint Associate Professor at the University of Sydney’s Northern Clinical School, affiliated with the Pain Management & Research Institute (PMRI) at Royal North Shore Hospital. He holds executive roles in the Michael J. Cousins PMRC and serves as Medical Co-chair of the Agency for Clinical Innovation Pain Management Network (ACI PMN), advising NSW health policies. His translational research focuses on improving chronic pain care through clinical neurophysiology, pain assessment, and healthcare service models. Notable projects include the Community Pain PATH initiative (2020–2023) and studies on spinal cord injury pain and opioid reduction strategies. Education: MBBS, Grad Cert Med (Clin Neurophys), MMed (Pain mgt), PhD. His research interests include sensory neurophysiology, neuropathic pain mechanisms, and neuroimaging. He has authored over 50 peer-reviewed publications and secured grants totaling millions, including a $1.14M Heine Foundation grant. Awards include the Gilbert Brown Medal (2005) and multiple research fellowships from ANZCA. Key contributions involve advancing pain management through interdisciplinary collaboration, advocating for equitable access to pain services, and pioneering technologies like virtual reality for pain relief. His work bridges clinical practice and policy, addressing the societal burden of chronic pain, which affects 20% of Australians.

• Biomedical Engineering
• Paediatrics and Reproductive Medicine
• Computation Theory and Mathematics
• +3 more

Priya Rani is a Lecturer in the School of Engineering at RMIT University. Her research focuses on interdisciplinary areas including Biomedical Engineering, Artificial Intelligence, and Neurosciences. She actively supervises research projects such as developing peripheral electronics for neural recording systems and applying machine learning for clinical delirium diagnosis. Dr. Rani’s work bridges computational methods with healthcare applications, emphasizing robust machine learning models and medical imaging analysis. She is affiliated with RMIT’s City Campus and contributes to advancing technologies for sustainable and intelligent systems. Research Interests: Her primary areas include computational theory, biomedical engineering, and AI-driven solutions for healthcare challenges. Notable projects involve semantic segmentation using attention-augmented networks and damage monitoring in advanced materials. Dr. Rani’s research trends highlight machine learning robustness, medical image analysis, and smart home technologies for aging populations. Supervision Focus: Neural recording systems, clinical AI applications Key Projects: Cortical neural interfaces, delirium prediction algorithms Technical Expertise: Machine learning, image processing, medical diagnostics Collaboration and Impact: Her work addresses real-world challenges through interdisciplinary approaches, with publications spanning medical IoT, nanosensors, and composite materials analysis. Dr. Rani’s contributions emphasize practical applications of AI and computational methods in healthcare and engineering domains.

Yuzhe TianView profile

Part-Time Lecturer

• Anomaly Detection
• Industrial Internet of Things (IIoT)
• Sleep Analysis
• +5 more

Yuzhe Tian is a Part-Time Lecturer at the School of Computing, Macquarie University, within the Faculty of Science and Engineering. His research focuses on interdisciplinary applications of machine learning, including anomaly detection in industrial IoT systems, sleep stage recognition via graph networks, and brain-computer interface (BCI) technologies. He holds a Doctor of Philosophy and has published extensively in top-tier conferences and journals since 2019. Research interests include real-time BCI systems using geometric learning, optimization of neural networks (e.g., model pruning and quantization), and healthcare applications like sleep analysis through graph attention networks. His work bridges computational methods with practical challenges in biomedical engineering and industrial automation. Yuzhe has collaborated on projects leveraging multi-view learning for anomaly detection and swarm intelligence algorithms (e.g., Krill Herd Algorithm). His publications span topics from lightweight BCI frameworks to cybersecurity in IIoT environments, demonstrating a strong focus on both theoretical advancements and real-world implementation.

• Condensed Matter Physics
• Nanotechnology
• Surface Science
• +7 more

Dongchen Qi is an Associate Professor in the School of Chemistry & Physics at Queensland University of Technology (QUT), Faculty of Science. He has established himself as a leading researcher in condensed matter physics and materials science, with a focus on creating, understanding, and controlling surfaces and interfaces at the nanoscale to develop next-generation electronic devices. His research spans diamond surface electronics, quantum devices, organic semiconductors, and 2D materials, utilizing advanced synchrotron light techniques to examine critical interface phenomena. Condensed Matter Physics Nanotechnology Surface Science Quantum Technology Diamond Electronics Organic Electronics Professor Qi's research program demonstrates significant evolution from his early work in surface science to his current focus on diamond nanoelectronics and 2D materials. His publication output has grown substantially since 2019, with 28 papers published in 2021 alone, reflecting increasing research impact and collaborative networks. His work bridges fundamental physics with practical device applications, particularly in electronic devices based on emerging materials. Fellow of AIP (FAIP) (2025) Advanced Materials Award recipient (2025) ARC Future Fellowship awardee (2017) Vebleo Fellow (2020) National Honorary Treasurer of AIP (2023-present) Professor Qi actively supervises PhD and Masters students, with current research projects focusing on 2D ferroelectric devices for non-volatile memory and neuromorphic computing, electronic properties of free radical-substituted conjugated polymers, and engineering two-dimensional ferroelectricity by molecular adsorption. He leads multiple Australian Competitive Grants projects and collaborates internationally through the QUT/Max Planck Institute of Colloids and Interfaces Joint Laboratory on Nanocatalysis for Sustainable Chemistry.