Dr. Saree Alnaghy is an Honorary Associate Professor at the University of Wollongong's Faculty of Engineering and Information Sciences, affiliated with the Centre for Medical Radiation Physics. She holds a Bachelor of Medical and Radiation Physics (Honours) and a PhD in Physics from the University of Wollongong (2009–2017). Her research focuses on advanced medical imaging and radiation therapy technologies, including photon counting detectors, dosimetry systems, and robotic motion phantoms for quality assurance. Key research areas include: Development of novel X-ray detectors for radiotherapy guidance High-resolution dosimetry techniques using silicon and polymer-based systems Integration of real-time imaging in radiation therapy Robotic systems for motion management in oncology Her work has been supported by grants such as 'Sharper Targeting, Brighter Future' (2024) and 'Bringing Colour to Radiotherapy' (2021–2025). She currently supervises PhD and MRes students on projects involving photon counting CT scanners and radiotherapy imaging. Alnaghy also serves as a Radiation Oncology Medical Physics Registrar at the Nelune Comprehensive Cancer Centre.
Steven Meikle is a Professor of Medical Imaging Physics and Head of the Imaging Physics Laboratory at the Brain and Mind Centre, University of Sydney. He also serves as Deputy Director (Preclinical) of Sydney Imaging and Deputy Director of the National Imaging Facility's Sydney node. His expertise spans advanced imaging technologies, with a focus on PET/SPECT instrumentation and molecular imaging. He holds a B.App.Sc.(Hons) from the University of Technology Sydney and a PhD from the University of New South Wales. Research focuses include developing novel PET systems like Open-field PET (for freely moving rodents) and Total Body PET, which enhance imaging sensitivity and enable real-time behavioral studies alongside brain function analysis. Collaborations include Tsinghua University (China) and UC Davis (USA). He leads projects on motion correction, quantitative imaging, and AI-driven analysis. Key achievements include over 180 peer-reviewed publications, editorial roles in Physics in Medicine and Biology , and leadership in professional societies. Awards include IEEE Senior Membership and Australian Institute of Physics Fellowship. Current student projects explore Total Body PET applications, motion correction, and radiopharmaceutical evaluation. Teaching roles include medical physics courses in diagnostic radiography and medical physics programs. He advises on imaging ethics, facility implementation, and translational research bridging basic science and clinical applications.
Dr. Lucy Gloag is a Lecturer at the Research School of Chemistry at the Australian National University (ANU), where she joined in 2024 after previously serving as a Lecturer at the University of Technology Sydney in 2023. Her research focuses on the development of advanced nanomaterials for energy applications, particularly in electrocatalysis and energy storage. Education: BSc/BCA and BSc(Hons) from Victoria University of Wellington, New Zealand PhD from the University of New South Wales (2018) on synthesis and characterization of Ru-based nanocatalysts Dr. Gloag is a nanomaterials chemist and electron microscopist specializing in the synthesis and characterization of nanomaterials for electrocatalytic applications. Her research addresses the fundamental question of how nanostructure can be used to enhance the performance of electrocatalysts . She employs solution-phase synthesis techniques to create nanoparticles with precise control over crystal structure, dimensions, and surface faceting, then correlates these structural features with electrocatalytic properties using transmission electron microscopy and electrochemistry. Her work spans energy conversion technologies, biomedical applications of nanoparticles, and advanced materials characterization. Analysis of her recent publications reveals a strong focus on single-atom catalysts, hierarchical nanostructures, and the relationship between nanomaterial structure and function. Her research spans both fundamental materials science and practical applications in energy conversion, with significant work on oxygen evolution reaction, hydrogen evolution reaction, and methanol oxidation electrocatalysts. She has also made notable contributions to biomedical applications of nanoparticles, particularly in magnetic particle imaging and Alzheimer's disease diagnostics. Scientific Awards: ARC Discovery Project Grant (2023) ARC Linkage Project Grant (2023) UNSW Science COVID19 Strategic Support Grant (October 2021) Dementia Australia Research Foundation – Yulgilbar Innovation Grant (2019-2022) Australian Postgraduate Research Scholarship (2015) AMN-7 Image Competition Finalist (2015) Dr. Gloag currently leads the ANU Futures Scheme 2.0 project (2024-2028) and has secured multiple competitive research grants, demonstrating strong research leadership. Her work involves extensive collaboration with researchers at UNSW and other institutions, particularly with Professors Richard Tilley and Justin Gooding. She has published 28 research outputs since 2015, with significant citation impact (h-index of 17). Her laboratory at ANU (Building 137, room 2.49) focuses on developing single atom and nanomaterials for energy storage and conversion technologies, continuing her trajectory as an emerging leader in advanced materials synthesis and electron microscopy characterization.
Professor Ravi Shukla is a faculty member at RMIT University's School of Science, holding the title of Professor and Deputy Head of Department (Research). He specializes in Nanobiotechnology, with research spanning biomaterials, drug delivery systems, and medical diagnostics. His work integrates biosciences, materials science, and food technology to advance understanding of nanomaterial-biomolecular interactions. Academic History: Professor Shukla has held roles at RMIT since 2011, progressing from Research Fellow to his current professorship. He also serves as an Adjunct Professor at the University of Missouri and Theme Leader for Nanobiotechnology at RMIT’s Center for Advanced Materials and Industrial Chemistry. His teaching focuses on fostering student belonging and innovation in biotechnology education, including coordinating RMIT’s undergraduate Biotechnology program. Research Interests: His lab explores hybrid biomaterial synthesis, nano-enabled proteomics, and non-viral gene therapy using MOFs. Recent work emphasizes applications in diabetes biosensing, CRISPR/Cas9 delivery, and antimicrobial resistance mitigation through nanostrategies. Over 130+ publications and substantial research funding highlight his interdisciplinary impact. Professional Engagement: Editor roles in Frontiers in Bioengineering and Biotechnology , Co-Editor-in-Chief of Current Research in Nutrition and Food Science , and advisor to the Australasian Association of Ayurveda underscore his leadership. He actively mentors students in projects like nano-antimicrobial wound healing and aptamer-based hepatitis A detection. Key Achievements: Pioneered nucleic acid-encapsulated MOFs for cancer therapy and developed paper-based biosensors for rapid diagnostics. His work aligns with UN Sustainable Development Goals 2 (Zero Hunger) and 3 (Good Health).
Chee-Ming Ting is an Associate Professor in the School of Information Technology at Monash University Malaysia. His expertise lies in machine learning, data science, and biomedical engineering, with a focus on signal processing, computational neuroimaging, and computer-aided detection. Previously, he held positions at King Abdullah University of Science and Technology (Research Scientist) and Universiti Teknologi Malaysia (Senior Lecturer). He has authored over 26 journal papers and 43 conference papers, and has secured research grants totaling RM2.5 million as PI/Co-PI. Education: PhD in Mathematics - Statistics, Master of Engineering in Electrical Engineering, and Bachelor of Engineering (Hons.) in Electrical & Electronics Engineering. Research interests include biomedical signal/image analysis, deep learning, spatio-temporal modeling, and neuroimaging applications for disease prediction and patient monitoring. He has supervised 9 graduate students (4 PhD, 5 Masters) and currently oversees 10 PhD candidates. Awards include the IEEE Signal Processing Society Malaysia's Research Excellence Award (2019, 2022) and several national/international innovation awards. His work contributes to UN Sustainable Development Goals related to health and technological advancement. Key projects include frameworks for neurological disease prediction using brain networks and generative adversarial networks for medical imaging enhancement.
Dr Emily Hewson is a Cancer Institute NSW Early Career Fellow and member of the Sydney School of Health Sciences at the University of Sydney's Faculty of Medicine and Health. Her research focuses on advancing real-time radiation therapy techniques, particularly in managing intrafraction motion for prostate and other cancers. She leads projects involving multileaf collimator (MLC) tracking, dose optimization, and deep learning integration in radiation oncology. Research interests include adaptive radiotherapy systems, kilovoltage intrafraction monitoring (KIM), and clinical trial implementation (e.g., TROG 15.01 SPARK trial). Her work emphasizes improving treatment accuracy through real-time dose-guided approaches and multitarget tracking for tumors with complex motion patterns. Developed experimental validations for MRI-linac integration and MLC tracking systems Authored a textbook chapter on Adaptive Radiation Therapy (ART) Recipient of Cancer Institute NSW Early Career Fellowship (2023) Recent grants include an AI platform for targeted radiotherapy (2024) and national critical infrastructure funding for lung cancer applications (2023). Her lab collaborates on real-time dose calculation algorithms and clinical trial implementation across multiple institutions.
Hunor Kertész is a Research Fellow at the University of Sydney's Image X Institute, affiliated with the Discipline of Medical Imaging Sciences in the School of Health Sciences. His research focuses on advancing medical imaging technologies, particularly in PET (Positron Emission Tomography) and CT (Computed Tomography) systems, with an emphasis on improving image quality, reducing radiation exposure, and developing novel imaging tools. His work spans several key areas: optimizing positron range correction in PET/CT for cardiac and oncology applications, exploring low-dose imaging techniques for pediatric patients, and creating open-source software tools like Dvgardener for medical image processing. He has contributed to the development of anthropomorphic phantoms for clinical simulations and portable CT systems for lung cancer screening. Recent publications highlight advancements in PET/MRI dose reduction for epilepsy patients, high-resolution total-body PET/CT through positron range correction, and the validation of Rubidium-82 myocardial imaging methods. His research often intersects with radiation dosimetry, image reconstruction algorithms, and 3D-printed anatomical models for quality assurance. While not explicitly mentioned, his contributions likely involve collaborations with clinical teams to translate imaging innovations into practical diagnostic solutions.
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.
Professor Daniel Catchpoole serves as Deputy Head of School (Research) at the School of Computer Science, University of Technology Sydney (UTS), holding dual appointments at UTS and The Children's Hospital at Westmead. With over 20 years of research experience, he bridges computational sciences and pediatric cancer research through the Biomedical Data Science Lab in the Australian Artificial Intelligence Institute. His work integrates data analytics, artificial intelligence, and software development with molecular cancer biology to transform pediatric cancer treatment pathways. PhD in Cancer Cell Biology, University of New South Wales (1991-1995) Founding Fellow, Royal College of Pathologists Australasia (2010-present) Head, Children's Hospital at Westmead Tumour Bank (2001-present) Professor Catchpoole's research focuses on translational applications of genomics in childhood cancers, particularly acute lymphoblastic leukemia and neuroblastoma. His work combines high-throughput genomic technologies with advanced computational analysis to develop systems biology approaches for cancer patient assessment. Recent projects explore virtual reality applications for complex genomic data visualization and copper chelation therapies to enhance neuroblastoma immunotherapy. His research has received significant funding from Cancer Institute NSW, Sony Foundation, ARC, and NHMRC. His publication record spans biomedical data science, cancer genomics, and virtual reality applications in oncology. Recent work demonstrates leadership in 3D latent diffusion models for tumor segmentation, biobank economics, and innovative immunotherapies. His research consistently addresses the critical need for actionable knowledge from complex multidimensional biomedical data. Editorial Board Member, Cancers (2023) Associate Editor, Innovations in Digital Health, Diagnostics and Biomarkers (2019) Founding member and first President, Australasian Biospecimens Network Association Professor Catchpoole has supervised 17 Honours students (including 6 First Class Honours), 3 MSc students, and 12 PhD candidates across multiple institutions, with 6 current PhD students. His collaborative research bridges UTS's Faculty of Engineering and IT with The Children's Cancer Research Unit at The Children's Hospital at Westmead. Significant research funding includes Cancer Institute NSW grants, Sony Foundation VR projects, and ARC Discovery Projects focused on genomic data analysis and clinical decision support systems. His leadership extends to building frameworks for translational research, managing biobanks and clinical data linkages, and navigating governance requirements for cancer research. The Tumour Bank at Kids Research, CCRU, represents his long-standing commitment to pediatric cancer infrastructure development.
Assoc. Professor Enbang Li is a Senior Lecturer at the School of Physics within the Faculty of Engineering and Information Sciences at the University of Wollongong. His research focuses on photonics, medical physics, and optical sensor technologies with applications in radiation dosimetry, biomedical engineering, and wearable devices. He has supervised numerous PhD and Master’s students in areas such as fiber-optic dosimetry for radiotherapy, blood glucose sensing, and microfluidics. His work includes advancements in fiber-optic dosimeters for MRI-LINAC systems, polymer-based biosensors for glucose monitoring, and integrated photonic sensors for temperature and pressure measurements. He has secured funding from organizations like the Australian Synchrotron Research Program and the University of Wollongong for projects related to dosimetry and photonic integration. Recent publications highlight innovations in HDR brachytherapy dosimetry, flexible electro-optic modulators for ECG signals, and lab-on-a-chip systems. His research also extends to material science, including corrosion studies of Al-Mg alloys and the dynamic behavior of sunscreens under in-service conditions.
Zhaolin Chen is an Associate Professor in the Department of Data Science & AI at Monash University's Faculty of Information Technology. He holds a PhD in Biomedical Imaging from Monash University and has held roles at the University of Melbourne, Florey Neuroscience Institutes, and the medical imaging industry in Europe. He is an Australian Research Council MCR Industry Fellow and leads Australia's first Point-of-Care MRI network at the National Imaging Facility. His research focuses on AI-driven medical imaging, MRI/PET methods, and multimodal data analysis. He has secured over $8M in research funding, including leadership roles in major projects like the National Mobile MRI Network. Education: PhD in Biomedical Imaging, Monash University Research Fellowships at University of Melbourne and Florey Neuroscience Institutes Research Interests: Deep learning and machine learning in medical imaging MRI/PET acquisition/reconstruction methods Multimodal imaging (e.g., simultaneous MR-PET) Translational research with 10+ patents (5 commercialized) Awards & Grants: ARC Discovery Project (Primary Chief Investigator) 5 highly cited papers (top 10% worldwide in 2021) 2021 SciVal: 90% publications in top 10% journals Recipient of Douglas Lampard Research Prize, ISMRM Magna Cum Laude Leadership & Service: President-Elect, ANZ Chapter of ISMRM (2024) Associate Editor for IEEE ISBI (2022-2023) Program Committee Member for ISMRM (2018-2021) Labs & Teams: Monash Biomedical Imaging leadership National Mobile MRI Network project leadership Collaborations across global institutions (e.g., Hyperfine Inc., University of Queensland)
Professor Rajesh Ramanathan is a renowned interdisciplinary scientist and research leader at RMIT University's School of Science. He holds the rank of Professor and co-leads the NanoBiotechnology Research Lab (NBRL). His work focuses on nanotechnology, materials chemistry, and sensor development for healthcare applications, with over 85 peer-reviewed publications and 20 patents. He has secured AUD $22 million in research funding and mentored 16 PhD students and 3 postdocs. Education: PhD in Science (RMIT University, 2012), Master of Biotechnology (RMIT, 2006), and Bachelor of Science (Ruia College, 2004). Awards include the Hartung Lecturer Award (2022), Rising Star Award (2022), and Philip Law Postdoctoral Award (2019). Research interests span nanobiotechnology, nanozymes, antimicrobial surfaces, and sensors for environmental/clinical analytes. He leads projects in supercapacitor materials, inflammation theranostics, and UV protection textiles. Current students include Pyria Mariathomas (antibacterial nanozymes) and Shalu Yadav (2D nanocomposites for viral biomarkers). Professional roles include President of the Royal Australian Chemical Institute VIC Branch and leadership roles in the Australian Nanotechnology Network. His work bridges academia and industry, with collaborations in biomedical imaging and sensor commercialization.
Associate Professor Yan Wong is a faculty member at Monash University's Department of Electrical and Computer Systems Engineering and Monash Biomedicine Discovery Institute. His research focuses on neural prosthetics, brain-machine interfaces, and restoring sensory functions through cutting-edge neural recording and stimulation techniques. He leads the Neurobionics Laboratory, advancing technologies like the Gennaris vision system, a wireless cortical implant for restoring vision in the blind. Yan holds a PhD in Biomedical Engineering from UNSW and has conducted postdoctoral research at New York University and the University of Melbourne. His work bridges engineering and medicine, addressing critical healthcare challenges such as quadriplegia, epilepsy, and hearing loss. He actively supervises students and contributes to teaching biomedical engineering courses at Monash, fostering the next generation of researchers. Key research interests include visual cortex stimulation, cochlear implants, spike-LFP interactions in movement planning, and endovascular neural interfaces. He has led or collaborated on multiple ARC-funded projects, including studies on neural prosthetic efficacy, chronic pain modulation, and visual attention mechanisms. His interdisciplinary approach integrates neuroscience, biomedical engineering, and clinical translation, aiming to deliver impactful medical technologies. Yan’s contributions have advanced neural prosthetics toward commercialization, with a focus on improving healthcare outcomes through innovative biomedical solutions.
Dr. Mingyan Li is an Adjunct Research Fellow at The University of Queensland's School of Electrical Engineering and Computer Science. Their research focuses on advanced imaging and sensing technologies with applications in biomedical engineering, particularly in MRI system development, RF coil design, and medical signal processing. They hold a PhD from The University of Queensland (2015). Research interests include high-field MRI systems, rotating RF coil technologies, MRI-Linac integration, and electrical properties tomography (EPT). Key contributions include innovations in MRI-Linac distortion correction, RF shielding for SAR reduction, and deep learning approaches for cardiac arrhythmia classification. Publications span MRI hardware optimization, image reconstruction algorithms, and biomedical signal analysis. Collaborations include work on metamaterial-inspired RF shielding and multi-modal antenna systems for body MRI.
Professor Michael Breakspear is an internationally recognized leader in computational neuroscience, brain imaging, and translational neurotechnology at the University of Newcastle's School of Psychological Sciences. His research bridges complex systems theory, mathematical modeling, and clinical neuroscience to advance understanding of brain dynamics in health and disease through interdisciplinary collaboration across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. Professor Breakspear holds a Doctor of Philosophy from the University of Sydney, along with multiple undergraduate degrees including a Bachelor of Medicine and Bachelor of Surgery. His academic journey includes professorial appointments at the University of Sydney (School of Physics), University of Queensland (School of Psychiatry), and University of Western Sydney (School of Psychiatry), where he progressed from Post-doctoral Research Fellow to Associate Professor. Current: Professor, University of Newcastle, School of Psychological Sciences 2017-present: Principal Research Fellow, National Health & Medical Research Council 2017-present: Senior Scientist and Head, QIMR Berghofer Medical Research Institute 2012-2017: Professor (adjunct), University of Sydney, School of Physics 2011-present: Professor (adjunct), University of Queensland, School of Psychiatry 2007-2012: Associate Professor, University of Western Sydney, School of Psychiatry Professor Breakspear's research program integrates expertise across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. His core expertise includes computational neuroscience (modeling brain dynamics using nonlinear systems theory), neuroimaging and connectomics (pioneering methods to analyze brain networks), brain disorders and mental health (applying computational models to disorders like schizophrenia and bipolar disorder), and neurotechnology and AI (developing machine learning techniques for imaging biomarkers). His recent publications demonstrate a strong focus on brain dynamics, neuroimaging techniques, and applications to psychiatric and neurological disorders. His work spans theoretical frameworks to clinical applications, with particular emphasis on understanding the neural basis of mood disorders, Alzheimer's disease, and psychosis, employing advanced computational approaches to uncover fundamental principles of brain organization and dysfunction. Senior Researcher Award (2017) Principal Research Fellow, National Health & Medical Research Council (2017-present) Professor Breakspear actively collaborates with clinical researchers, engineers, and technology developers to translate theoretical frameworks into practical diagnostic and therapeutic innovations. He provides leadership in training programs at the nexus of neuroscience, mathematics, and data science, fostering the next generation of interdisciplinary researchers through mentorship and collaborative projects that bridge theoretical and clinical domains.
