Professor Wei Chen is Head of the School of Biomedical Engineering at the University of Sydney. She holds a B.Eng. and M.Eng. from Xian Jiaotong University, China, and a Ph.D. from the University of Melbourne (2007). Her international experience includes positions at Bell Laboratories Germany and Eindhoven University of Technology. Professor Chen's research focuses on biomedical signal processing, wearable sensors for healthcare, and neural engineering applications. Research Interests: Development of wearable sensor systems for medical monitoring Neural signal processing and brain network analysis Sleep staging algorithms and neonatal monitoring technologies Biomedical instrumentation and sensor design Her recent publications demonstrate strong focus on neural signal processing, novel biosensor development, and AI applications in healthcare. Research trends show interdisciplinary work combining biomedical engineering with materials science, AI, and clinical neurology. Professional Service: Editorial roles for multiple IEEE journals including Transactions on Biomedical Engineering Former Chair of IEEE Sensor and Systems Council China Chapter IEEE EMBS AdCom Asia/Pacific representative
Prof. Zdenka Kuncic is a Professor of Physics at the School of Physics , University of Sydney. She holds a BSc (Hons I) from the University of Sydney and a PhD in theoretical astrophysics from the University of Cambridge. Her research bridges physics, medicine, biology, neuroscience, and engineering, focusing on interdisciplinary applications of physics-based approaches to solve complex problems. Key affiliations include the University of Sydney Nano Institute and the Charles Perkins Centre. Her research interests include neuromorphic computing, nanoparticle-based medical imaging, and quantum technologies. Notable grants include the 2024 Reconfigurable Neuromorphic Compute System (ARC LIEF) and the AMTAR Hub (2023). Media highlights include features in The Conversation , Financial Times , and ABC Science . Recent innovations include nanowire networks mimicking brain-like learning and memory, and advancements in MRI-guided radiotherapy using nanoparticles. Her work emphasizes translational research with potential impacts on healthcare and technology.
Associate Professor Leigh-Anne Hepburn is Head of Design at the Sydney School of Architecture, Design, and Planning and Deputy Director (Design) at Sydney Policy Lab. Her research focuses on co-design, systems thinking, and transdisciplinary collaboration across health, community resilience, and policy. She holds affiliations with the Brain and Mind Centre and Sydney Policy Lab, and leads projects like 'Health and housing in future cities' and 'Vax4Health'. Research interests include: Co-Design Design Innovation Participatory Design Design for Health and Policy Systems Thinking Recent articles address topics like health device interfaces, community resilience frameworks, and public sector design methodologies. Awards include the Equity Prize (2021) and a Royal Academy of Engineering Fellowship (2022). Supervises PhD candidates researching design innovation in science, healthcare, and non-profits. Collaborates with institutions like Makerere University and Heriot-Watt University. Active in grants like 'Housing Health and Inequality' and the 'Educational Opportunity for Resilient Futures' initiative. Labs/Teams: Design Lab (Sydney School of Architecture), Neurotherapeutic Innovations Initiative, Co-Design Community of Practice.
Professor Arthur Lowery is a leading academic in optical communications and neuroengineering at Monash University. As a Professor and former Chair of the Department of Electrical and Computer Systems Engineering, he specializes in photonic design automation, bionic vision systems, and brain-machine interfaces. He founded VPIphotonics and Ofidium, companies commercializing optical communication technologies, and leads the Monash Vision Group developing a cortical bionic eye implant. Education: PhD in Laser Modeling, University of Nottingham (1988) BSc (Hons) in Applied Physics with Electronics, Durham University (1983) Research Interests: His work spans optical communications innovations like OFDM systems, electro-photonic interchanges, and neural prosthetics. Recent projects include a wireless multi-electrode cortical device for vision restoration and high-capacity optical networks using photonic integrated circuits. Publications & Awards: With over 350 publications and 15 patents, Arthur holds IEEE, ATSE, and IET Fellowships. Notable recognitions include the Clunies Ross Award (2007) and the Peter Doherty Prize for Innovation (2006). Grants & Collaborations: He leads the ARC Centre of Excellence for Integrative Brain Function and is a CI in the CUDOS Centre. Recent grants include $72M for optical microcomb research and $924k for cortical brain-machine interface commercialization. Labs & Teams: Directs the Monash Vision Group and Electro-Photonics Laboratory. Collaborates with institutions like The Alfred Hospital and Grey Innovation on bionic eye development.
Claudio Pizzolato is a research-focused Associate Professor at Griffith University's School of SHS - Exercise Science, with over 10 years of expertise in computational neuromusculoskeletal biomechanics, rehabilitation technologies, and neural interfaces. He leads transformative projects including BioSpine and The Digital Athlete Australia, and is a member of the Griffith Centre of Biomedical and Rehabilitation Engineering (2018-2024) and Australian Centre for Precision Health and Technology (2025-present). Education: Doctor of Philosophy, Griffith University (2012-2016) Master of Engineering, University of Padua (2008-2011) Bachelor of Engineering, University of Padua (2004-2008) His research integrates physics-based computational models of human neuromusculoskeletal systems with machine learning to advance bionic mobility solutions and evidence-based rehabilitation. He developed CEINMS, an open-source toolbox adopted as the gold standard for exoskeleton algorithm benchmarking. Primary research domains include computational modeling of neural/musculoskeletal systems, wearable sensor technology, brain-computer interfaces for neurorehabilitation, and real-time control of assistive robotics. Analysis of his 15 most recent publications (2024-2025) reveals concentrated work in: (1) Hip biomechanics in pathological conditions (osteoarthritis, impingement), (2) Real-time calibration of EMG-informed neuromusculoskeletal models for exoskeletons/BCIs, (3) Machine learning applications for tissue loading estimation, and (4) Rehabilitation technology validation. Predominant methodologies include differentiable physics, neural networks, and clinical biomechanics trials. He has supervised 10+ doctoral/master's students to completion, with projects spanning EMG signal processing, smart garment development, neuromusculoskeletal modeling for cerebral palsy, and Achilles tendon biomechanics. Current supervision includes neural restoration technologies and personalized biomechanics for osteoarthritis. Significant research funding includes: BioSpine 2.0: $3.87M (Motor Accident Insurance Commission, 2023-2026) Next-gen bionic limbs: $954K (NHMRC, 2024-2026) AI-enabled brain monitor: $589K (Dept of Education, 2025-2026) Neurorestoration technology: $2.11M (Motor Accident Insurance, 2019-2023) The Digital Athlete Australia: $277K (Stanford University, 2022-2024) He directs laboratories focused on wearable sensor technologies and computational rehabilitation at Griffith University, coordinating interdisciplinary teams for the BioSpine and Digital Athlete initiatives.
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
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.
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
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.
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.
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.
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).
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.
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.
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.
