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Associate Professor Khoon Lim is a biomedical engineer specializing in polymer chemistry and biomaterials, affiliated with the School of Medical Sciences at the University of Sydney. He holds a PhD in Biomedical Engineering from UNSW Sydney and has conducted postdoctoral research at the University of Otago. His research focuses on hydrogels for tissue engineering, 3D bioprinting, and regenerative medicine, with over $8M in grant funding. Lim leads the Light Activated Biomaterials (LAB) research group and is a member of prestigious organizations like the Australasian Society for Biomaterials and Tissue Engineering. Education: BE (Chemical Engineering, Hons 1) and ME (Biomedical Engineering) from UNSW Sydney, followed by a PhD in Biomedical Engineering (2014). Postdoctoral fellowship at University of Otago Christchurch (2019). Research Interests: Biofabrication, 3D bioprinting, hydrogels for tissue regeneration, cardiovascular applications, and chronic disease management. Current projects include developing bioinks for functional tissues, smart delivery systems for growth factors, and cancer models for drug screening. Key Achievements: ARC Future Fellow (2022), Rutherford Discovery Fellowship (2021), and over 170 publications in journals like Advanced Materials and Biofabrication . Holds patents in hydrogel technologies. Leadership Roles: President of ASBTE, Board Member of ISBF, and editorial board positions in journals such as RSC Biomaterials Science . Active in translational research through collaborations in Australia, New Zealand, Europe, and Asia.

• Biofabrication
• 3D Bioprinting
• Hydrogels
• +6 more

Hongfu Sun is a Senior Lecturer at the School of Engineering, University of Newcastle. His research focuses on innovating MRI mechanisms for clinical and research applications, particularly in Quantitative Susceptibility Mapping (QSM). He is internationally recognized as a pioneer in QSM and integrates MR physics, signal processing, and AI for medical imaging advancements. Sun holds a Ph.D. in Biomedical Engineering from the University of Alberta, Canada. Professional Experience: Senior Lecturer at University of Newcastle (current) ARC DECRA Research Fellow at University of Queensland (2021–2023) Postdoctoral Researcher at University of Calgary (2015–2019) Research Interests: Focuses on MRI innovation, including QSM, deep learning for medical imaging, and AI-driven reconstruction techniques. His work addresses challenges like sub-millimeter resolution and artifact reduction in MRI. Recent projects involve generative AI models for MRI analysis and accelerated quantitative imaging methods. Grants and Funding: AU$1.69M in grants, including a 2021 ARC DECRA for microscopic MRI techniques 2024 NHMRC grant for Parkinson’s disease MRI diagnostics Teaching: Course coordinator for Medical Imaging and Signal Processing at University of Newcastle Focus on biomedical imaging, computational methods, and signal analysis Labs/Teams: Leads research in MRI innovation, collaborating on QSM, deep learning applications, and translational imaging techniques. Active in interdisciplinary projects combining physics, AI, and clinical medicine.

• Biomedical Engineering
• Deep Learning
• Magnetic Resonance Imaging (MRI)
• +3 more

Mike Climstein serves as a Lecturer in Human Sciences within the Faculty of Health at Southern Cross University (SCU), where he coordinates the Master of Clinical Exercise Physiology program and acts as Deputy Academic Integrity Officer. He concurrently holds an adjunct Associate Professor position in the Physical Activity, Lifestyle, Ageing and Well-being Research Group at the University of Sydney and directs SCU's Aquatic Based Research initiative. His academic credentials include a PhD in Exercise Science & Human Performance from Oregon State University (1990), an MSc in Exercise Science from Utah State University (1986), and a BSc in Biology from Utah State University (1982). Climstein's research spans clinical exercise physiology with emphases on master athletes' health, chronic disease rehabilitation, sports injury surveillance (particularly surfing), cardiac rehabilitation, smart textile monitoring, and osteoporosis. His work integrates technology-driven health solutions with population-specific exercise interventions, notably for aging populations and athletes. Analysis of his recent publications reveals three dominant trends: 1) AI applications in dermatological diagnostics (e.g., melanoma detection systems), 2) physiological adaptations in aging populations through martial arts and aquatic exercise, and 3) epidemiological studies of chronic conditions in master athletes and occupational groups. These reflect his dual focus on technological innovation and practical health interventions. His scientific recognition includes: Fellowship by Sports Medicine Australia (FASMF) Fellowship by American College of Sports Medicine (FACSM) Fellowship by Exercise and Sports Science Australia (FAAESS) Climstein actively supervises 4 PhD and 2 Master's students while co-supervising 6 Doctor of Physiotherapy candidates. His research program is supported by 38 grants totaling over $7.8 million AUD, including studies on aquatic rehabilitation and smart textile monitoring. As Director of Aquatic Based Research, he leads interdisciplinary teams investigating water-based exercise interventions for chronic disease management, with ongoing projects in cardiac rehabilitation and osteoporosis prevention.

• Clinical exercise physiology
• Medical and health aspects of master athletes
• Prevention and rehabilitation of chronic disease
• +6 more

Michael O'Keeffe serves as an Adjunct Senior Fellow at the School of Human Movement and Nutrition Sciences, The University of Queensland, where he conducts research at the intersection of sports science and technological innovation with a focus on sport officiating systems and athlete development processes. His primary research interests include Sports Science, Artificial Intelligence in Sports, Sport Officiating, Exercise Science, Human Movement, and Technology in Sports. O'Keeffe's work critically examines how AI-driven ecologically dynamic systems can transform traditional sports training methodologies and officiating frameworks, emphasizing practical applications for performance enhancement and fair play. O'Keeffe's 2022 publication demonstrates a clear research trajectory bridging computer science and sports biomechanics, with recurring themes in technological integration for dynamic sports environments. His work consistently addresses Sport Technology, Artificial Intelligence applications, Sport Officiating Systems, Ecological Dynamics modeling, Sports Training Methodology refinement, and Performance Analysis techniques across the sports science domain.

• Sports Science
• Artificial Intelligence in Sports
• Sport Officiating
• +3 more

Professor Ruurd Jaarsma serves as Clinical and Academic Director of Orthopaedics and Trauma Surgery for the Southern Adelaide Local Health Network, practicing at Flinders Medical Centre and Flinders Private Hospital. He holds full membership in Flinders University's College of Medicine and Public Health, Flinders Health and Medical Research Institute, and Medical Device Research Institute within the College of Science and Engineering, bridging clinical practice and academic research since relocating from the Netherlands in 2004. His educational credentials include: MD from University of Groningen, Netherlands (1994) Orthopaedic Surgeon certification from Dutch College of Orthopaedic Surgeons (2003) PhD from University of Nijmegen, Netherlands (2004) FRACS (Orth) from Royal Australasian College of Surgeons (2009) FA(Orth)A from Australian Orthopaedic Association (2012) Research centers on orthopaedic trauma, paediatric orthopaedics, and biomechanical engineering of implants, with specialized focus on rotational malalignment after long bone nailing. His work directly supports UN Sustainable Development Goal 3 (Good Health and Well-being) through trauma care innovation and surgical education. Current investigations integrate machine learning with fracture diagnostics to improve clinical decision-making. Recent publications demonstrate strong AI integration in orthopaedic trauma, featuring machine learning algorithms for scaphoid fracture probability estimation, deep learning classification of tibial plateau fractures, and open-source neural networks for distal radius fracture detection. Concurrent clinical trials address compartment syndrome diagnosis while biomechanical studies examine acetabular fracture outcomes, reflecting his dual focus on computational innovation and clinical validation. His scientific recognition includes: 2006 Burns Alpers Award for excellence in teaching from Flinders University As Director of Orthopaedic Training, he supervises Australian Orthopaedic Association accredited fellowships with registered interests in orthopaedic surgery, biomechanical engineering, and musculoskeletal medicine. His supervisory framework emphasizes translational research connecting biomechanical principles with surgical practice. External engagement includes active participation in SA State Trauma Committees, driving statewide improvements in trauma systems and surgical protocols. Professor Jaarsma maintains clinical-academic synergy through Flinders Medical Centre's orthopaedic department, where he leads trauma service development while directing research initiatives in the Medical Device Research Institute. His current projects focus on AI-driven fracture assessment tools and biomechanical optimization of implant systems, with ongoing collaborations across the Machine Learning Consortium and international orthopaedic networks.

• Orthopaedic Trauma
• Orthopaedic Paediatrics
• Biomechanical Engineering
• +1 more

Associate Professor Andre Kyme is an academic staff member in the School of Biomedical Engineering at The University of Sydney. His research focuses on developing enabling technologies for biomedical imaging, including motion compensation in MRI/PET, robotic platforms for image-guided therapy, and cross-disciplinary applications like plant salt uptake analysis using PET. He collaborates with institutions globally and advises students on projects like lameness detection in horses and AI-based motion correction. Research Interests: Kyme's work spans motion correction in medical imaging modalities, medical robotics integration with imaging systems, and innovative applications of imaging technologies in non-traditional fields. His team emphasizes leveraging advancements in computer vision, machine learning, and instrumentation to improve imaging performance and accessibility. Recent Projects: Current research includes MRI-compatible robotic platforms for therapy applications, AI-driven lameness detection in horses, and pediatric neuroimaging improvements. He leads the BREEZE initiative to enhance MRI accessibility for children with cerebral palsy through eye-gaze communication technology. Publications: His work spans 20+ years with over 50 peer-reviewed publications in journals like Physics in Medicine and Biology and IEEE Transactions. Key areas include PET/SPECT/CT motion correction algorithms, robotic systems for medical imaging, and novel imaging applications in plant science. Teaching: Kyme instructs core biomedical engineering courses including thesis supervision and capstone projects at both undergraduate and postgraduate levels. Labs/Teams: Active in the Brain and Mind Centre and Biomedical Imaging, Visualisation and Information Technologies groups at Sydney. Collaborates with industry partners like TeleMedVet and academic institutions including University of California Davis and Chinese University of Hong Kong.

• Biomedical Imaging
• Medical Imaging Physics
• Motion Compensation in Imaging
• +5 more

Professor Mia Woodruff is a leading academic at Queensland University of Technology (QUT), holding the position of Professor in the School of Mechanical, Medical and Process Engineering within the Faculty of Engineering. She is the Group Leader of the Biofabrication and Tissue Morphology Group and Acting Director of the Herston Biofabrication Institute. Her research focuses on biofabrication, tissue engineering, and 3D printing applications in medicine, particularly in bone regeneration, vascular surgery, and personalized prosthetics. Woodruff holds a PhD in Materials Engineering from the University of Nottingham, UK. She has led over $40 million in external grants, including ARC and Advance Queensland funding. Her work emphasizes translating biofabrication technologies into clinical practice, such as developing patient-specific implants and surgical tools. She has published over 120 peer-reviewed articles and co-founded initiatives like the Herston Biofabrication Institute to bridge clinical, research, and industry collaboration. Key research areas include composite biomaterials, 3D scanning/modelling, electrospinning, and large-animal models for bone regeneration. She has been awarded the QUT Vice Chancellor’s Research Fellowship and ARC Fellowship. Her outreach efforts include promoting STEM through media appearances and school programs, such as the 3D Printing in All High Schools initiative. Grants & Awards $40M Innovation Manufacturing CRC (Co-Investigator) $3.72M ARC Industrial Transformation Training Center (Additive Biomanufacturing) Advance Queensland Fellowships ($1.2M Cluster Grant for Biofabrication) Media & Engagement Featured in SCOPE TV, SBS The Feed , and ABC News Keynote speaker at global conferences (e.g., TERMIS, ORS) Research Infrastructure Herston Biofabrication Institute: Integrates 3D printing, clinical trials, and patient collaboration World-first Biofabrication Master’s program launched in 2014

• Biomedical Engineering
• Biofabrication
• Tissue Engineering
• +7 more

Dr. Patricio Pincheira is a Lecturer in Sport & Exercise Science at the University of Southern Queensland, affiliated with the School of Health and Medical Sciences. He holds a PhD and is based at the Ipswich Campus. His role involves teaching and research in areas related to sport and exercise science, with a focus on practical and theoretical aspects of physical activity, health, and sports performance. Dr. Pincheira's qualifications include a PhD, though specific details about his educational background or prior institutions are not provided in the text. His research interests are inferred to align with the department's expertise in exercise physiology, sports medicine, and biomechanics. No specific grants, lab affiliations, or current research projects are mentioned in the provided text. No awards, publications, or student advisement information is listed in the profile. For further details, contact him via Patricio.Pincheira@unisq.edu.au.

• Exercise Physiology
• Sports Medicine
• Health Sciences
• +3 more

Dr. Michael Stevens is a Senior Lecturer at University of New South Wales (UNSW) Canberra , where he focuses on advanced manufacturing and biomedical device control systems . His work bridges digital manufacturing for SMEs with smart artificial heart technologies , emphasizing industry collaboration and translational research. Specializes in physiological control systems for rotary blood pumps Develops unobtrusive fall detection systems for dementia patients Leads international projects on total artificial heart development Education : B.Eng (Medical - First Class Honours), Queensland University of Technology (2010) PhD in Physiological Control for Biventricular Assist Devices, University of Queensland (2014) Research Trends show consistent focus on: Machine learning for biomedical diagnostics (2018–2025) mmWave radar and thermal sensors in patient monitoring (2021–2024) Computational fluid dynamics in artificial heart modeling (2016–2024) Physiological control algorithms for rotary blood pumps (2011–2025) Scientific Awards : UNSW Scientia Education Award (2021) for contextual teaching Heart Foundation Runner-up for "Smart Artificial Hearts" pitch (2021) ARC PGC Supervisor Award (2017) for mentoring Grants & Supervision : Holds over $6 million in competitive funding including MRFF and ARC grants. Currently supervises 4 PhD students while maintaining industry partnerships with VitalCare and BiVACOR. Labs & Facilities : Works across UNSW Engineering labs and Graduate School of Biomedical Engineering platforms, including mock circulation loops and high-performance computing clusters for CFD simulations.

• Biomedical Engineering
• Advanced Manufacturing
• Digital Manufacturing
• +6 more

Dr. Ben Swift is a Senior Lecturer at the School of Cybernetics, ANU, specializing in AI, computational art, and cybernetics. He leads the Cybernetic Studio, an interdisciplinary collective exploring cybernetic systems through hardware/software/people collaborations. As a livecoding artist, he performs globally and co-founded the ANU Laptop Ensemble. His research spans generative AI, open-source tools like Extempore, and UX design. Education: PhD in Computer Science (ANU) Projects: Australia's Digital Economy (2022), The Augmented Web (2019) Research focuses on AI creativity, biofeedback interfaces, and computational music. His work bridges technical innovation with artistic expression, evident in projects like TSPNet and adversarial camera systems. Key contributions include Extempore’s development and studies in live coding disruption. Awards unspecified but recognized internationally for interdisciplinary impact.

• Artificial Intelligence
• Machine Learning
• Computational Art & Music
• +4 more

Associate Professor Fangbao Tian is a distinguished researcher and academic at UNSW Canberra's School of Engineering and Technology, where he also serves as Deputy Head of School for Research since July 2023. Previously, he held positions as Senior Lecturer (2017-2021) and Lecturer (2014-2017) at the same institution after completing postdoctoral research at Vanderbilt University. His academic journey began with a BSc (2006) and PhD (2011) in Theoretical and Applied Mechanics and Engineering Mechanics from the University of Science and Technology of China. Dr. Tian's research focuses on Computational Fluid Dynamics (CFD) tools for complex flows and fluid-structure interaction, with particular emphasis on bio-inspired applications. His work spans modeling laryngeal aerodynamics and vocal-fold vibration, fluid-structure interaction of plates in viscous fluid, fish swimming and insect flight, blood flow dynamics, and non-Newtonian flow phenomena. Recent work has expanded into Martian atmosphere aerodynamics, showing his research's growing interdisciplinary nature. His extensive publication record demonstrates consistent contributions across fluid dynamics, with recent trends showing increasing focus on compressible flows, bio-inspired flight systems, heat transfer applications, and computational methods like Lattice Boltzmann approaches. The research shows strong connections between fundamental fluid mechanics and practical applications in aerospace, biomedical engineering, and environmental systems. UNSW Canberra Goldstar Award 2022 IEEE Outstanding SMCS Chapter Award 2021 Outstanding Volunteer Award 2021 UNSW Canberra Silverstar Award 2018 UNSW Canberra Silverstar Award 2017 Journal of Fluids and Structures Highly Cited Research 2017 ARC DECRA 2016 Dr. Tian actively supervises PhD students across diverse topics including bushfire-enhanced wind loads, bio-inspired flight on Mars, flow control optimization, and fluid-structure interactions in compressible flows. He has secured over $5 million in external funding as Chief Investigator, including significant Australian Research Council projects examining Martian atmosphere aerodynamics, bio-inspired flapping wings, and cardiovascular flow modeling. His editorial roles include Associate Editor for Journal of Fluids and Structures and Scientific Reports, reflecting his standing in the fluid dynamics research community.

• Computational Fluid Dynamics
• Fluid-Structure Interaction
• Biomechanics
• +5 more

Dr. Maryam Ghahramani is a Senior Lecturer in AI & Robotics at the Faculty of Science & Technology, University of Canberra, Australia. She holds a BSc in Electrical Engineering from Shiraz University, Iran, and a PhD in Biometric Gait Analysis from the University of Wollongong, Australia. Biomedical Engineering Researcher Machine Learning Specialist Human Motion Analysis Expert Her research focuses on applying machine learning to human motion analysis for rehabilitation purposes, particularly in three key areas: Parkinson's Disease: Using fNIRS and machine learning for disease detection and motor function assessment Fall Prevention: Analyzing postural sway and risk of falls in older adults Spatial Disorientation: Studying balance in hypoxic aviation environments Recent publications demonstrate her work at the intersection of biomedical engineering, machine learning, and clinical rehabilitation. Current projects include: Young Onset Dementia Detection with 12-week Home-Based Exercise Programs Mild Hypoxia Analysis for Aviation Safety Balancing Mat Performance Evaluation

• Human Motion Analysis
• Machine Learning
• Rehabilitation Engineering
• +5 more

Andrew Currie is a Professor and Associate Dean (Research & Innovation) at Murdoch University's School of Medical, Molecular and Forensic Sciences, within the College of Environmental and Life Sciences. He leads the Sepsis Diagnostics Research Group at the Centre for Molecular Medicine and Innovative Therapeutics and co-heads the Neonatal Infection and Immunity Team with Clinical Professor Tobias Strunk at the Wesfarmers Centre of Vaccine & Infectious Diseases at Telethon Kids Institute. His research focuses on immunology and infectious diseases in pediatric populations, particularly sepsis diagnostics and neonatal immunity. Education: PhD (Immunology, University of Western Australia, 2001); BSc (Biotechnology with Honors, Murdoch University, 1997). Research Interests: Sepsis diagnostics, innate immunity mechanisms in neonates, medical biotechnology for diagnostics (e.g., biosensors), and translational research in pediatric infections. Collaborates internationally with institutions in Canada, Denmark, the UK, US, and China. Aims to reduce sepsis burden in vulnerable populations through advanced molecular methods and interdisciplinary partnerships. Key Affiliations: Lead of Sepsis Diagnostics Research Group (Murdoch University), Senior Lecturer in Immunology, Honorary Associate at Kids Research Institute Australia. Past roles include leadership in the Centre for Molecular Medicine and Innovative Therapeutics. Scientific Contributions: Over 100 peer-reviewed articles focusing on sepsis biomarkers, neonatal immunity, tick-borne diseases, and clinical trials for interventions like vitamin C and probiotics in critical illness. Active in developing precision medicine approaches for neonatal sepsis. Grants & Funding: Co-leads major projects on sepsis diagnostics and neonatal infection, supported by national and international grants. Collaborates on multi-institutional initiatives. Labs/Teams: Sepsis Diagnostics Research Group (Murdoch) and Neonatal Infection and Immunity Team (Telethon Kids Institute). Works closely with the Personalised Medicine Centre and Health Futures Institute.

• Sepsis
• Innate Immunity
• Neonatal Immunology
• +5 more

Professor Glen Tian is a Professor at the School of Computer Science , Queensland University of Technology . He holds two PhDs: one in computer and software engineering from the University of Sydney (2009) and another in industrial automation from Zhejiang University (1993) . His academic career spans institutions including Hong Kong University of Science and Technology, Curtin University, and the University of Maryland at College Park. Editor-in-Chief of the Handbook of Real-Time Computing (Springer) Associate Editor for Information Sciences (Elsevier) and Asia-Pacific Journal of Chemical Engineering (Wiley) His research focuses on big data computing , cloud computing , computer networks , smart grid communication and control , networked control systems , and cyber-physical system security . Applications include power systems , medical big data , vehicular networks , and transport systems . Recent publications highlight advancements in smart grid communications , distributed optimization , secure multi-agent systems , and medical imaging analysis . He has led QUT's Big Data Lab and served as Leader of QUT's Networks and Communications Discipline . Scientific achievements include Over 20 research grants totaling >$6M 6 Australian Research Council (ARC) grants 1 MRFF-TTRA grant ($745,623) 1 ATN-DAAD Australia-Germany Collaborative Grant 1 DEST International Science Linkage grant He supervises PhD students in big data bioinformatics , smart grid optimization , and cyber-physical security , while mentoring 30+ postdocs and research fellows. Current projects include mitigating cyberattacks on power systems and developing AI-based atheroma diagnostic tools .

• Big Data Computing
• Cloud Computing
• Computer Networks
• +11 more

Dr Mahdi Davoodianidalik is a researcher in the Department of Nuclear Physics & Accelerator Applications at the Australian National University (ANU). He is affiliated with the Space plasma power and propulsion group and the Physics of fluids group, focusing on interdisciplinary research at the intersection of plasma physics, fluid dynamics, and space propulsion technologies. His research interests include Turbulence and wave-driven flows Plasma thrusters and electrothermal propulsion Fluctuation-induced forces and interactions Fluid-structure dynamics Thermal engineering of micro-thrusters Nonlinear phenomena in fluids Recent publications highlight his work on analogs of the Casimir effect in turbulent flows, passive propulsion mechanisms, and advanced propulsion systems using solid hydrocarbon propellants. He has contributed to understanding turbulence in both fundamental and applied contexts, with a focus on energy transfer and chaotic flow phenomena. His collaborations span ANU colleagues including Nicolas Francois and Michael Shats, with a strong emphasis on experimental and computational fluid dynamics.

• Plasma Physics
• Fluid Dynamics
• Turbulence
• +4 more