جست‌وجوی استاد و پژوهشگر

• Sports Concussion
• Neuropsychology
• Brain Injury
• +۲ مورد دیگر

Associate Professor Andrew Gardner is an Honorary Associate Professor at the University of Newcastle's School of Medicine and Public Health, and a clinical neuropsychologist with the Hunter Medical Research Institute (HMRI) and Hunter New England Local Health District (HNE LHD). He serves as Co-Director of the HNE LHD's Sport Concussion Clinic, is a member of the World Rugby Concussion working group, concussion consultant to Rugby Australia, and serves on the Australian Football League concussion scientific advisory group. His work focuses on sports concussion research and clinical management. His educational background includes a Doctor of Psychology (Clinical Neuropsychology) from Macquarie University, Sydney, where his thesis received the prestigious Most Outstanding Dissertation Award from the National Academy of Neuropsychology (USA), and a PhD from the University of Newcastle studying brain ageing in retired elite level collision sport athletes. He also holds a Bachelor of Psychology (Honours) from the University of New England. Professor Gardner's research spans the full spectrum of concussion, from injury prevention with tackle techniques to injury identification via video analysis, acute assessment through validation of measures, and evaluation of later life brain and mental health of former athletes. His work has a strong translational focus, aiming to advance knowledge and improve healthcare by generating evidence-informed data to advance policy development. His research has established strong collaborations with international experts from Harvard Medical School, Vanderbilt University, UCLA, and the University of Colorado. His extensive publication record shows a clear focus on sports concussion epidemiology, assessment tools like the SCAT5, tackle biomechanics, concussion disclosure behaviors, and long-term brain health outcomes in athletes. Recent work increasingly incorporates advanced technologies like instrumented mouthguards and computer vision for head impact monitoring and analysis. HMRI's Early Career Researcher of the Year award (2020) Fulbright Postdoctoral Scholar (2018) NSW Young Tall Poppy Science Award (2018) University of New England Alumni Achievement Award (2017) Research Australia's Discovery Early Career Award (2015) National Academy of Neuropsychology Outstanding Dissertation Award (2011) As Principal Investigator of the Former Elite Level Athlete Brain Health Research Program, Professor Gardner has engaged with industry to conduct end-user driven research and assist tech companies in validating products that provide solutions to concussion-related problems. His work bridges the gap between research and clinical application through the HNE LHD Sports Concussion Clinic, where he works at the interface of research and clinical practice. Professor Gardner has been instrumental in developing policy papers for Brain Injury Australia, Alzheimer's Australia (NSW), and Sports Medicine Australia, and has been involved in community engagement and sports concussion educational programs across Australia.

Min Wangمشاهده پروفایل

پژوهشگر

• Pattern recognition
• Biometrics
• Human-centered computing
• +۷ مورد دیگر

Dr. Min Wang is a researcher at the University of New South Wales (UNSW), focusing on computational intelligence and human-centred computing. Their work spans deep learning for signal processing, pattern recognition, and information integration, with applications in brain-computer interfaces, human-computer interaction, biometrics, information systems, and AI for cyber-physical security in smart grids. Key research areas include: Deep learning models for biometric systems Privacy and security in AI Information security in smart grids Human-machine system design Dr. Wang has secured multiple research grants from UNSW, including funding for Li-ion battery fire risk mitigation and AI-based cyberbullying detection tools. They actively contribute to academic communities as an Associate Editor and reviewer for journals like IEEE Transactions on Artificial Intelligence and Sensors. Scientific awards include: 2024 Best Paper Award (Runner-up), ADMA 2024 2024 Excellent Paper Award, ICEBE 2024 2023 UNSW DGFI Seed Funding Award

Jason Mattingleyمشاهده پروفایل

عضو هیئت علمی

• Cognitive Neuroscience
• Selective Attention
• Predictive Coding
• +۶ مورد دیگر

Professor Jason Mattingley is a Professorial Research Fellow at the University of Queensland , affiliated with the Queensland Brain Institute and the School of Psychology . He is also an NHMRC Leadership Fellow and contributes to multidisciplinary research centers such as the Centre for Perception and Cognitive Neuroscience . B.Sc. (Hons), Monash University M.Sc. (Clinical Neuropsychology), University of Melbourne PhD in Psychology, Monash University His research focuses on selective attention , predictive coding , and perceptual decision-making in healthy individuals and those with neurological conditions (e.g., stroke, ADHD). He employs neuroimaging (EEG, fMRI), brain stimulation (TMS, tDCS), and cognitive training to explore these mechanisms. Recent publications highlight work on neural oscillations , prediction error processing , and reproducibility standards in cognitive neuroscience. He leads grants from the ARC Discovery Projects and NHMRC Investigator Grants , and supervises numerous PhD students in cognitive and clinical neuroscience. Scientific awards include the Australian Laureate Fellowship (2012), Distinguished Contribution to Psychological Science Award (2012), and Monash Distinguished Alumni Award (2016). He is a Fellow of the Academy of Social Sciences in Australia and the Association for Psychological Science . His lab investigates visual attention , neural plasticity , and brain-computer interfaces , with applications in neurological rehabilitation and educational neuroscience . Current supervision includes projects on predictive coding , gamma stimulation , and working memory precision .

Priyakshi Kalita de Croftمشاهده پروفایل

پژوهشگر

• Cancer Biology
• Breast Cancer
• Ovarian Cancer
• +۶ مورد دیگر

Priyakshi Kalita de Croft is a researcher at the University of Queensland's Centre for Clinical Research . Her work focuses on cancer biology , particularly breast cancer and brain metastases , with a strong emphasis on extracellular vesicles , proteomics , and biomarker discovery . She has contributed to multidisciplinary studies involving molecular oncology , tumor microenvironment , and translational medicine . Research Interests Cancer Biology Extracellular Vesicle Signaling Brain Metastasis Mechanisms Proteomic and Multi-omics Analysis Biomarker Development for Oncology Publication Trends Her peer-reviewed articles (29 in total) span breast cancer , ovarian cancer , neuro-oncology , and multi-omics methodologies . Recent work includes studies on miRNA profiling in extracellular vesicles for cancer prognosis, spatiotemporal modeling of tumor-stroma interactions , and mechanisms of chemoresistance in ovarian cancer. Affiliations University of Queensland (Centre for Clinical Research) Collaborator with international research groups in breast cancer , brain metastasis , and exosome research

• Machine Learning
• Information Retrieval
• Medical Informatics
• +۳ مورد دیگر

Elad Yom-Tov is a Senior Principal Researcher at Microsoft Research and a Visiting Assistant Professor at the Technion, Israel Institute of Technology . His work bridges Machine Learning, Information Retrieval, and Medical Informatics to enhance healthcare through digital data analysis. Senior Principal Researcher, Microsoft Research Visiting Assistant Professor, Technion Advisor to two startup companies Member of WHO's Roster of Experts in Digital Health Dr. Yom-Tov's research extends to digital health innovations, crowdsourcing for medical advancement, and behavioral science applications. His contributions have led to breakthroughs in high-speed engineering, brain-computer interfaces, and search engine optimization. He has authored over 150 academic papers, four books, and holds more than 20 patents. His latest book, Crowdsourced Health: How What You Do on the Internet Will Improve Medicine (2016), highlights his expertise in health data science. Dr. Yom-Tov studied at Tel-Aviv University and the Technion . He currently serves on advisory boards for the Roybal Center for Therapeutic Optimization Using Behavioral Science (Harvard) and the Jockey Club Online Youth Emotional Support "Open Up" (Hong Kong). Outside academia, he enjoys hiking, tinkering, building, and photography.

• Biomedical Engineering
• Neurorehabilitation
• Robotics
• +۴ مورد دیگر

Dr. Robert Trott serves as a Lecturer in Engineering (Teaching and Research) at Flinders University's College of Science and Engineering. He holds a PhD in stroke rehabilitation robotics from Flinders University (2022), following a Bachelors in Mechanical Engineering (First Class Honours) and a Masters in Biomedical Engineering. Research Focus: Neurorehabilitation, biomechanics, robotics, and engineering design. Teaching Responsibilities: Coordinator of Engineering Work Integrated Learning, Honours and Masters Research Project (Engineering and ICT), and lecturer in ICT Management and Professional Standards. Key Affiliations: Medical Device Research Institute (full member since 2016), Australian Industrial Transformation Institute (Research Fellow 2022). His publications span stroke rehabilitation robotics, brain-computer interfaces, and occupational exoskeleton applications in maritime, mining, and agricultural industries. Awards include the Flinders University Engineering Medal (2016) and multiple scholarships. Scientific Awards: Force Forty Leadership in Engineering (2020-2021), Commonwealth Scholarships Program (2018-2021), Playford Trust Scholar (2016-2020). Professional Memberships: IEEE (2022-present, SA Section Educational Activities Coordinator 2025), Engineers Australia (2022-present), European Committee for Standardisation (2020-2022). Contact: robert.trott@flinders.edu.au | ResearchGate: ORCID

• Neural Signal Processing
• Machine Learning for Neuroscience
• Brain Network Modeling
• +۵ مورد دیگر

Dr. Quanying Liu serves as Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology (SUSTech), where she leads the Neural Computing and Control Laboratory (NCC lab) as Principal Investigator and Doctoral Supervisor. Her academic journey includes a PhD from ETH Zurich in Biomedical Engineering, postdoctoral training at Caltech, and research positions at Huntington Medical Research Institute, KU Leuven, and Oxford University. PhD in Biomedical Engineering, ETH Zurich (2013-2017) Master in Computer Science, Lanzhou University (2010-2013) Bachelor in Electrical Engineering, Lanzhou University (2006-2010) Dr. Liu's research bridges neuroscience, machine learning, and control theory with focus on multi-modal neural signal processing (EEG, sEEG, fMRI, DTI), explainable AI for brain interpretation, and optimization frameworks for neuromodulation (tES, TMS). Her work develops high-density EEG source imaging algorithms, data-driven brain network modeling, and control-theoretic approaches for neural stimulation. The NCC lab specializes in machine learning algorithms, neural computation, multimodal data fusion, network control theory, and bidirectional brain-computer interfaces. Analysis of her recent publications reveals strong trends in EEG-based visual decoding, multimodal neural embeddings, and AI-driven brain network modeling. Her work increasingly integrates generative models for neural data synthesis, control theory for precise neuromodulation, and cross-modal approaches connecting neural signals with cognitive functions. The New Brain 30 (2023) AAIC travel award (2019) Estes Stars Award (2018) Shenzhen Peacock Talent Plan C Dr. Liu actively mentors students through SUSTech's doctoral program and leads multiple significant research initiatives including a National Natural Science Foundation Youth Project, a National Key R&D Program in Bio-Information Fusion, and several Shenzhen municipal projects. Her lab receives funding from Guangdong Provincial Basic Research Fund, Shenzhen Science and Technology Innovation Commission, and international fellowships including Boswell Postdoctoral Fellowship and Swiss National Science Foundation grants. The NCC lab maintains strong international collaborations with Caltech, ETH Zurich, and Oxford University while developing novel platforms like WheelCon for sensorimotor control studies. The Neural Computing and Control Laboratory operates as an interdisciplinary hub integrating computational neuroscience, machine learning, and control engineering. The lab develops specialized hardware-software systems for closed-loop neurostimulation, maintains the EEGdenoiseNET benchmark dataset, and pioneers methods like MOVEA for transcranial electrical stimulation optimization. Current research directions include generative models for neural decoding, network control theory applications, and AI-human cognitive interaction frameworks.

Sylvia Gustinمشاهده پروفایل

استاد

• Neuroimaging
• Chronic Pain
• Spinal Cord Injury Rehabilitation
• +۷ مورد دیگر

Professor Sylvia Gustin (PhD, BPsych, MPsych) is a leading neuroscientist at the University of New South Wales and Neuroscience Research Australia . She serves as Director of the NeuroRecovery Research Hub and Founding Director of the Centre for Pain IMPACT , focusing on multimodal neuroimaging and psychological assessment to investigate chronic pain and spinal cord injury rehabilitation. Her work bridges basic science research with clinical translation through innovative technologies like virtual reality walking and brain-computer interface neuromodulation. Her research program emphasizes neuroimaging , neuropathic pain , and spinal cord injury recovery , with key projects targeting: Restoration of somatosensory perception using haptic virtual reality Development of novel neurofeedback interventions for pain management Investigation of stress-related brain alterations in chronic pain Recent publications span EEG neurofeedback , telehealth interventions , and emotion regulation therapies for chronic pain, reflecting her translational pipeline approach. She has received significant recognition as the Rebecca Cooper Senior Medical Research Fellow and secured major funding from the NHMRC , MRFF , and US Department of Defence . Her work involves collaborations across neuroscience, psychology, and rehabilitation medicine.

Branka Speharمشاهده پروفایل

استاد

• Visual Perception
• Color and Lightness Perception
• Perceptual Organization
• +۷ مورد دیگر

Professor Branka Spehar is a distinguished researcher in visual perception at the University of New South Wales' School of Psychology. With a PhD in Experimental Psychology from Rutgers University (1994), her career spans decades of groundbreaking research on how humans process visual information. Her research interests encompass lightness and color perception , perceptual organization , attentional capture , and the perceptual foundations of aesthetic experience . She investigates how neural mechanisms process visual information, how these processes develop from infancy through adulthood, and how they relate to the statistical properties of natural images. Her work bridges experimental psychology, neuroscience, and aesthetics. Professor Spehar's recent publications demonstrate her focus on fractal properties in visual perception, cross-cultural emotion recognition, and the relationship between visual form and aesthetic experience. Her research employs diverse methodologies including fMRI, EEG, behavioral experiments, and computational analysis of visual stimuli. She has secured significant funding including ARC Discovery Grants for projects on aesthetic appreciation and the relationship between natural form and the human brain. She actively supervises PhD and honors students, maintaining a robust research program that explores both fundamental visual processes and their applications to real-world contexts. Her laboratory investigates how context affects perception, how fragmented visual information is integrated into global percepts, and how aesthetic preferences relate to underlying neural mechanisms.

• Machine Learning
• Data Analysis
• Data Mining
• +۱۲ مورد دیگر

Hua Wang is a Professor at Victoria University, Melbourne, Australia, affiliated with the Institute for Sustainable Industries and Liveable Cities (ISILC) and the Oceania Cyber Security Centre (OCSC). His research spans machine learning, data analysis, cyber security, and privacy-preserving technologies, with applications in healthcare, IoT, and social media analytics. PhD in Computer Science (University of Southern Queensland, 2004) Research focuses on privacy-preserving data publishing , deep learning for cyber security , graph neural networks for IoT , and EEG-based neurological disorder detection . His work integrates federated learning and transformer models for secure, efficient data processing. Recent publications emphasize multi-objective optimization for privacy, adaptive neural networks , and domain-generalized tracking systems . Collaborations include Japan Society for the Promotion of Science (JSPS) and Data61 University Planning Committee. Hua supervises 14 PhD students, serves as ARC College of Expert (2021–present), and leads editorial roles for EAI Transactions on Scalable Information Systems , PLOS ONE , and World Wide Web Journal . He holds 14 grants totaling $3.1M, including ARC Discovery and Linkage projects.

Lina Yaoمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Recommender Systems
• +۱۱ مورد دیگر

Professor Lina Yao is a Senior Principal Research Scientist and Science Lead at CSIRO's Data61 , and Conjoint Full Professor at the School of Computer Science and Engineering , University of New South Wales (UNSW). She leads the Data Dynamics Lab (D² Lab) , founded in 2016, which focuses on developing generalizable, explainable, and data-efficient algorithms for human-machine interactions. Her research spans few-shot learning, graph neural networks, and deep reinforcement learning , applied to domains like recommender systems, biomedical imaging, and IoT . Collaborations include institutions such as Stanford and Tsinghua Universities. Recent publications appear in top venues like NeurIPS, SIGKDD, and CVPR. She serves as Associate Editor for ACM Transactions on Sensor Networks and Knowledge-based Systems . Key Awards : CORE Outstanding Research Contribution (2023), World’s Top 2% Scientist (2020-2022), Google PhD Prize (2012). Grants : ARC Discovery Projects (2023-2026), ACARP risk modeling (2022-2023), ONR Human-Machine Cooperation (2019-2021).

Matthew Gutmanمشاهده پروفایل

استاد مدعو

• Functional Neurosurgery
• Brain Tumors
• Epilepsy
• +۲ مورد دیگر

Matthew Gutman is an Adjunct Professor in the Department of Neuroscience at Monash University. He is a practicing neurosurgeon with a focus on functional neurosurgery, brain tumor management, epilepsy, neurovascular disorders, and spinal surgery. Dr. Gutman is a member of the Royal Australian College of Surgeons and maintains a private practice at Cabrini Hospital in Melbourne. His research interests span multiple domains within neurosurgery, including advanced imaging techniques for epilepsy monitoring, surgical innovations for pediatric tumors, and neuroengineering applications such as brain-computer interfaces. He has collaborated on studies addressing complex cases involving skull-base tumors, spinal defects, and post-shunt complications. Dr. Gutman’s work emphasizes clinical translation of research into surgical practice, with notable contributions to vascular imaging safety protocols and long-term outcomes of reconstructive surgical techniques. His publications reflect a multidisciplinary approach, blending neurosurgical expertise with cutting-edge biomedical engineering and pediatric neurology.

• Virtual Reality
• Human-Computer Interaction
• Assistive Technologies
• +۵ مورد دیگر

Dr. Howe Zhu is a Lecturer of Interactive Design at the University of Sydney's School of Architecture, Design and Planning. He holds a PhD in Computer Science from UTS (2022) and a BE in Biomedical Engineering from the University of Sydney (2017). His research focuses on human-centric technologies, including metaverse systems, assistive technologies for visually impaired individuals, and brain-computer interfaces. Education: PhD in Computer Science, UTS, 2022 BE in Biomedical Engineering (Mechatronics), University of Sydney, 2017 Research interests span virtual/augmented reality, spatial audio processing, and sensory augmentation systems. Recent work emphasizes auditory interfaces for navigation assistance and stress effects on neurotechnology. His publications explore metaverse infrastructure, binaural sound rendering, and human factors in assistive technologies. Notable contributions include studies on brain-computer interfaces in metaverse systems, acoustic touch for vision impairment, and spatial memory enhancement through auditory cues. His work bridges biomedical engineering with interactive design to create inclusive technologies.

Aaron S.W. Wongمشاهده پروفایل

مدرس پاره‌وقت

• Computer Science
• Artificial Intelligence
• Robotics
• +۱۶ مورد دیگر

Dr Aaron Wong is an Honorary Lecturer at the School of Psychology , University of Newcastle , with dual affiliations in Computer Science and Software Engineering . His career spans interdisciplinary research in robotics, cognitive neuroscience, and neuroimaging, supported by roles in the Functional Neuroimaging Laboratory and Priority Research Centre for Stroke and Brain Injury . Education: PhD in Computer Science, University of Newcastle Bachelor of Engineering (Computer Engineering) with Honours Bachelor of Computer Science Research Focus: Dr Wong's work bridges machine learning , humanoid emotion modeling , and multimodal neuroimaging (MRI/EEG). Key projects include developing brain-computer interfaces , acoustic localization systems for rescue robots, and semi-supervised manifold alignment techniques. Publication Trends: Recent articles emphasize theta oscillations in cognitive control , EEG-MRI joint modeling , and deep learning for speech emotion recognition . Collaborative themes span neurodevelopmental studies , stroke research , and urban robotics . Scientific Awards: 2008 RoboCup SPL World Champion 2011 RoboCup Australian Open Champion 2014 Global Leader of Innovation (UON) 2011 Best Student Paper (ANZAScA) Supervision & Grants: Served as co-supervisor for two PhD students. Secured $23,775 in grants including a 2018 Hunter Medical Research Institute award for EEG-MRI predictive modeling and 2016 Keats Endowment funding for cognitive flexibility research . Labs & Teams: Central to the Functional Neuroimaging Laboratory and PRC Stroke and Brain Injury , with global RoboCup collaborations and contributions to the Age-ility Project data repository.

• Epilepsy Research
• Neurostimulation
• Deep Brain Stimulation (DBS)
• +۳ مورد دیگر

Dr. Daria Anderson is a Lecturer in the School of Biomedical Engineering at The University of Sydney. Her work focuses on epilepsy, neurostimulation technologies, and computational models of neural activity. She advises three current PhD students: Josh MOSSE-ROBINSON, Michael SUN, and Joshua WOOLEY. Her research integrates engineering principles with clinical neuroscience to improve seizure prediction, neurostimulation efficacy, and patient-specific treatment outcomes. Key projects include analyzing circadian rhythms' impact on epilepsy therapies and developing automated tools for intracranial electrode localization. Education details are not explicitly provided, but her work spans computational neuroscience, biomedical device development, and clinical neurology. Research grants include a 2024 project on structural-functional decoupling in epilepsy, aiming to identify biomarkers for network restructuring. Anderson’s publications emphasize DBS optimization, seizure propagation pathways, and machine learning applications in neuroimaging. Recent work highlights closed-loop stimulation strategies and the role of structural connectivity in treatment outcomes for epilepsy and Tourette syndrome. No scientific awards are listed, though her contributions are significant in neuroengineering and clinical neuroscience. Labs/Teams: Her research aligns with the School of Biomedical Engineering and collaborations with the Brain and Mind Centre. Future directions include predictive modeling of seizure dynamics and advancing personalized neurostimulation therapies.