Dr. Owen Dillon is a Research Fellow in the Discipline of Medical Imaging Sciences at the University of Sydney's Faculty of Medicine and Health. He holds affiliations with the ACRF Image X Institute and the Dodd-Walls Centre for Photonic and Quantum Technologies. His work focuses on advanced imaging techniques for medical applications, particularly computed tomography (CT) and motion compensation in radiation therapy. He completed his PhD in Mathematics at the University of Auckland, specializing in probabilistic compression algorithms for inverse problems. Education: B.Sc. Physics & Applied Mathematics (2013, University of Auckland), First Class Honours in Mathematics (2015), PhD Mathematics (2018). Research interests include inverse problems, Bayesian statistics, CT image reconstruction, and real-time imaging systems. Current projects involve optimizing CT acquisition geometries, motion-compensated 4D imaging, and anatomical motion estimation. His contributions have led to clinical trials reducing radiation dose and scan times. He advises two PhD students and collaborates on grants like the Quantum CT project. Grants: 'Quantum CT for Cancer Diagnosis' (2024), 'Functional Imaging in Lung Cancer' (2024). His work bridges mathematical theory with clinical applications in oncology and interventional radiology.
Professor Amin Abbosh is a faculty member at the School of Electrical Engineering and Computer Science, University of Queensland. His research focuses on Medical Microwave Imaging and Millimeter-wave Engineering, with contributions to advanced imaging systems, antenna design, and communication technologies. He leads projects in electromagnetic medical sensing, including portable brain scanners and wearable diagnostic systems. His work integrates applied electromagnetics with AI-driven algorithms, addressing challenges in stroke detection, liver health monitoring, and deep vein thrombosis diagnosis. With over 16 patents and collaborations across biomedical and engineering domains, his research bridges clinical needs with cutting-edge electromagnetic techniques. Key projects include the development of low-cost healthcare monitoring systems and reconfigurable antennas for satellite communications. Research interests span medical imaging systems, antenna array design, and signal processing for healthcare applications. His team innovates in areas like phased arrays, dielectric property analysis, and non-invasive diagnostics. Recent advancements include synthetic microwave focusing techniques and self-supervised deep learning models for clutter removal in imaging. Publications highlight contributions in IEEE journals and conferences, emphasizing clinical applications and device prototyping. Collaborations with institutions like the University of Queensland’s medical faculty and industry partners ensure practical implementation of his research.
Dr. Amin Sakzad is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. His research focuses on lattice-based cryptography, wireless communications, and post-quantum security protocols. He holds a PhD in Applied Mathematics from Amirkabir University of Technology (2011) and has held academic roles at Carleton University and Monash since 2012. Dr. Sakzad’s expertise spans lattice coding theory, MIMO systems, and privacy-preserving technologies for genomic databases and blockchain applications. He leads multiple ARC-funded projects, including work on secure databases (SRDBMS) and post-quantum cryptographic primitives for FinTech and energy sectors. His research has been recognized through awards such as the FIT Dean’s Award for Teaching Excellence (2021). Key collaborations include projects on blockchain security (CollinStar Lab), genomic data privacy, and energy market cybersecurity. His work addresses UN SDGs through contributions to quality education (SDG 4) and industry innovation (SDG 9). Recent publications highlight advancements in lattice-based cryptography (e.g., CRYSTALS-Kyber variants), privacy-preserving energy trading, and secure blockchain protocols like FPPW watchtower systems. His research bridges theoretical cryptography with practical implementations in embedded systems and 5G telecommunications. Grants: 16 active/completed projects including $1.2M in ARC funding Advising: Supervising PhD projects on lattice applications in post-quantum crypto and blockchain Labs: Core member of Monash’s Software Defined Telecommunications (SDT) Lab and CollinStar Lab
Dr. Nhiem Tran is a Senior Lecturer in the Department of Applied Chemistry and Environmental Science at RMIT University's School of Science, part of the STEM College. He joined RMIT in 2015 as a Vice Chancellor's Research Fellow after completing his PhD in Physics at Brown University (USA, 2012) and postdoctoral research at Rhode Island Hospital (USA), CSIRO, and the Australian Synchrotron. His research focuses on developing biomaterials for drug delivery, gene therapy, and medical implants, particularly lipid nanoparticles and 3D-printed metallic implants. He leads the Biomaterial Interfaces group, investigating self-assembled lipid nanoparticles for cancer and autoimmune disease treatments. His work has resulted in over 65 high-impact publications and numerous awards, including the RMIT Vice Chancellor's Research Fellowship and the Stein/Bellet Foundation Fellowship. Tran's funding comes from grants such as the ARC Discovery Project, mRNA Victoria, and the CASS Foundation. His research interests span nanomedicine, biomedical engineering, and materials science, with a focus on applications in drug delivery, bacterial infection control, and orthopaedic implants. Education: PhD in Physics (Brown University, 2012) Key Projects: 3D-printed diamond-titanium implants, lipid nanoparticle drug carriers, and antimicrobial coatings. He actively supervises postgraduate research in areas like nanomaterials for drug delivery and biomedical applications.
Associate Professor Wenhua Zhao is a globally recognized expert in offshore hydrodynamics and renewable energy technologies at The University of Queensland , School of Civil Engineering. With over 110 publications and 30 million AUD in secured research funding, his work bridges theoretical and practical advancements in marine engineering. Research focuses on Clean Energy , Artificial Intelligence , and Climate Change , specifically floating wind energy, floating solar, offshore aquaculture, and green hydrogen production. His 15 most recent articles (2024-2025) emphasize wave-structure interactions, gap resonance dynamics, and AI-driven wave prediction, published in top journals like Journal of Fluid Mechanics and Ocean Engineering . Scientific awards include the prestigious ARC Future Fellowship (2024-2028) and DECRA Fellowship (2019-2022) , recognizing his contributions to academia and industry. He teaches the 'Design of Offshore Energy Systems' course , training hundreds of students in coastal and ocean engineering, and serves as Deputy Editor for Ocean Engineering and Associate Editor for ASME's Journal of OMAE . Available for research supervision, Zhao actively collaborates with editorial boards of Applied Ocean Research and other Q1 journals.
Aggelos Kiayias FRSE is Chair in Cyber Security and Privacy and Director of the Blockchain Technology Laboratory at the University of Edinburgh. He is also Chief Scientist at blockchain technology company Input Output. His academic work spans over two decades with more than 200 publications in cryptography, blockchain, and security. Dr. Kiayias received his Ph.D. from the City University of New York and was an undergraduate at the University of Athens Mathematics department. His research focuses on computer security, privacy, applied cryptography, and foundations of cryptography with particular emphasis on blockchain technologies, distributed systems, e-voting, secure multiparty protocols, and identity management. His recent work demonstrates continued innovation across multiple dimensions of blockchain technology, with publications spanning theoretical foundations, practical implementations, economic modeling, and privacy-preserving techniques. The research output shows strong emphasis on security analysis, consensus protocols, transaction processing, and economic incentives within decentralized systems. His work bridges theoretical cryptography with real-world blockchain applications. Among his notable recognitions are an ERC Starting Grant, Marie Curie fellowship, NSF Career Award, Fulbright Fellowship, election as Fellow of the Royal Society of Edinburgh in 2021, and the BCS Lovelace Medal in 2024. He has served as program chair for major conferences including the Cryptographers' Track of RSA (2011), Financial Cryptography (2017), Real World Crypto Symposium (2020), and Public-Key Cryptography Conference (2020), and as general chair of Eurocrypt 2013. Professor Kiayias has supervised over 20 PhD students, many of whom have gone on to academic positions at institutions including Imperial College, Stanford University, Royal Holloway University London, University of Glasgow, University of Sydney, and Virginia Commonwealth University. His current advisees include Yu Shen, Amirreza Sarencheh, and Christina Ovezik with expected graduations between 2025-2026. He leads the Blockchain Technology Laboratory at the University of Edinburgh and is involved in several major blockchain research projects including Panoramix and Fentec. His research has received significant funding from the European Union (Horizon 2020, ERC), UK research councils (EPSRC), US agencies (NSF, DHS, NIST), and Greek research bodies.
Sushmita Ruj is an Associate Professor in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney. She serves as the Faculty of Engineering Lead for the UNSW Institute for Cybersecurity (IfCyber) and as the Taste of Research (ToR) Coordinator within the School of Computer Science and Engineering. Her academic journey includes previous positions as a Senior Research Scientist at CSIRO's Data61 (2019-2022), Associate Professor at the Indian Statistical Institute, Kolkata, and Assistant Professor at the Indian Institute of Technology (IIT), Indore. Dr. Ruj's primary research interests focus on applied cryptography, post-quantum cryptography, cybersecurity, blockchains, and data privacy. She designs practical, efficient, and provably secure protocols for real-life applications, with particular emphasis on critical infrastructure including smart grids, cloud computing, ad hoc networks, and data sharing frameworks. As quantum technology advances, her work increasingly focuses on developing quantum-safe algorithms to ensure a more secure Internet infrastructure. Her research spans multiple domains including cryptographic key management, proofs of storage, verifiable computation, vector commitments, and privacy-enhancing technologies for cloud and IoT environments. Her recent publications demonstrate a strong trend toward post-quantum cryptography solutions, with particular emphasis on blockchain applications, DNS security, and privacy-preserving protocols for industrial IoT. The research shows increasing focus on practical implementations of theoretical cryptographic concepts, with applications across multiple sectors including finance, healthcare, and critical infrastructure. Her work bridges the gap between theoretical cryptography and real-world security challenges, with growing emphasis on the transition from classical to quantum-resistant systems. Best Paper Award at ACISP 2024 JNCA Best Survey Award (2023) NSW Innovation Award (iAward) Merit Winner (2022) Women in Science Award from CSIRO (2020) ACM Senior Member (2016) IEEE Senior Member (2015) Samsung GRO award (2014) Dr. Ruj has successfully mentored numerous PhD and Master's students, with many of her former students now holding academic positions at institutions like IIT Indore, TU Wien, and CISPA Helmholtz Center. She has secured significant competitive funding including multiple Australian Research Council (ARC) grants, Samsung GRO Award, NetApp Faculty Fellowship, Cisco Academic Grant, and IBM Research grant. Her current research portfolio includes projects on blockchain-based quantum-safe digital medical passports, embedding trust in digital IDs, and resilience of supply chain unstructured data. As Faculty of Engineering Lead for IfCyber, Dr. Ruj plays a key role in UNSW's cybersecurity research initiatives. She has served on editorial boards for prestigious journals including IEEE Transactions on Information Forensics and Security and has held leadership positions in major conferences such as ACISP 2021 and Indocrypt 2020. She was also a member of the working group on "Blockchain For Cybersecurity" for the National Blockchain Roadmap of Australia and the first Blockchain Working group set up by the Reserve Bank of India.
Stephen Roberts is a Professor at the Australian National University (ANU) in the College of Science, Department of Mathematics. He is the lead developer of the ANUGA open-source hydrodynamic modeling software, which simulates dam breaks, floods, and tsunamis for governments and engineers. Roberts has made significant contributions to computational mathematics, particularly in numerical methods for partial differential equations, sparse grid data fitting, and finite element approximations scaling to millions of data points. MSc, Flinders University (1980) PhD, University of California, Berkeley (1985) His research interests include: Computational methods for shallow water wave equations Development of Python-based scientific computing frameworks Global sensitivity analysis and uncertainty quantification Adaptive mesh algorithms for fluid dynamics Recent publications focus on energy-stable numerical schemes, multiscale flood simulation, and convergence analysis in sensitivity methods. Roberts actively collaborates with environmental agencies and has led major computational science education programs at ANU. Stephen serves as Treasurer of the Computational Mathematics Group (ANZIAM) and leads projects in: Parallelization of hydrodynamic models CO2 leak detection via atmospheric measurements Optimization of sparse grid combinations His work combines theoretical advancements with real-world applications in disaster risk reduction and climate policy.
Quoc Thong Le Gia is an Associate Professor in the School of Mathematics & Statistics at the University of New South Wales (UNSW), Sydney. He holds a PhD in Mathematics from Texas A&M University (2003), an MS in Mathematics from Texas A&M University (2000), and a BSc in Mathematics and Computer Science from UNSW (1998). His research focuses on Numerical Analysis , Approximation Theory , Partial Differential Equations , and Stochastic Processes , with particular expertise in problems on spherical domains. His work bridges theoretical mathematics with practical applications in computational science, data science, and machine learning. Le Gia's recent publications demonstrate a strong focus on numerical methods for PDEs on spheres, stochastic analysis, and machine learning applications. His work shows consistent progression from theoretical foundations to practical implementations, with increasing interdisciplinary applications in recent years. L. F. Guseman Prize in Mathematics, Texas A&M University (2003) As a dedicated academic mentor, Le Gia has supervised numerous PhD, Master's, and Honours students across computational mathematics and data science topics. He has secured significant research funding through ARC Discovery Projects including DP220101811 (2022-2024) and DP180100506 (2018-2020). Professionally, he serves as External Associate Editor for Frontiers in Applied Mathematics and Statistics , Secretary for ANZIAM's Computational Mathematics Group, and Co-chair of Mathematics of Computation and Optimisation (AustMS Special Interest Group).
Professor Shaun Gregory is the Director of the Centre for Biomedical Technologies at Queensland University of Technology (QUT), where he also serves as Co-Director of the Artificial Heart Frontiers Program, Founder and Director of the Heart Hackathon student team competition, and Director of the CardioRespiratory Engineering and Technology Laboratory. He holds appointments in the Faculty of Engineering, School of Mechanical, Medical & Process Engineering. His educational background includes Bachelor, Masters (research), and PhD degrees, all awarded by QUT. He also holds both NHMRC and Heart Foundation fellowships, demonstrating his significant contributions to cardiovascular research. Professor Gregory's research applies a translational approach to cardiovascular engineering with a particular focus on devices used to support or replace the heart. His work brings together multidisciplinary teams of engineering, biomedical science, design, and medicine to develop novel technical solutions for clinically relevant problems. His research has changed clinical practice on numerous occasions and assisted with the regulatory approval of medical devices. His areas of interest include mechanical circulatory support, artificial heart development, cardiovascular device engineering, and hemodynamics. His publication portfolio demonstrates a strong focus on extracorporeal membrane oxygenation (ECMO), ventricular assist devices, and cardiovascular device testing. His recent work has explored computational fluid dynamics in blood flow analysis, novel cannula design for circulatory support, and the hemodynamic effects of various cardiovascular devices. His research often bridges engineering principles with clinical applications, resulting in practical innovations in cardiac support technologies. NHMRC Fellowship Heart Foundation Fellowship President-Elect of the International Society for Mechanical Circulatory Support Professor Gregory has successfully secured more than $65 million in research funding and has published over 100 research articles in his field. He is actively involved in mentoring the next generation of researchers, currently accepting Honours, Masters, and PhD students. His CardioRespiratory Engineering and Technology Laboratory serves as a hub for interdisciplinary research that brings together engineering, biomedical science, and clinical expertise to address critical challenges in cardiovascular medicine.
Azma Putra Azis is a Lecturer in the School of Civil and Mechanical Engineering at Curtin University, with a focus on acoustics, vibration control, and sustainable materials. He is affiliated with campuses in Australia, Dubai, Malaysia, Mauritius, and Singapore. His research emphasizes eco-friendly acoustic absorbers using natural fibers (e.g., wood, oil palm, coconut) and additive manufacturing. He collaborates widely, publishing in journals like International Journal of Environmental Science and Technology and Applied Acoustics . His work spans noise control, composite material development, and structural acoustics. Teaching areas include Science and Engineering, with contributions to the Centre for Aboriginal Studies and interdisciplinary fields. Education: Not explicitly stated in profile, but extensive academic publications suggest advanced qualifications in mechanical/acoustical engineering. Research Interests: Acoustic absorber design, composite materials, vibration dynamics, and sustainable engineering. Professional Networks: ORCID (0000-0001-6023-2493), Google Scholar, LinkedIn, and personal website ( www.azmaputra.com ). Publications highlight innovations in sound absorption using agricultural waste (e.g., durian husk, sugarcane fiber) and optimization of muffler designs. His work bridges engineering and environmental science, with applications in construction, automotive, and renewable materials.
Richard DUNCAN is a Professor in Conservation Biology at the University of Canberra's Science School and Department of Centre for Conservation and Ecology Genetics. His research focuses on the ecology of invasive species, particularly understanding how introduced species arrive, establish, and spread in new environments. Key areas include invasive weeds and pests, ecological community structure, and applying quantitative methods to address both fundamental and applied ecological questions. Education: PhD in Forest Ecology, University of Canterbury (1989, award date noted as 2024 in text) Research Interests: His work spans invasive species ecology, population dynamics, and restoration strategies. He employs diverse methods including field experiments, modeling, and genomics, with recent focus on grasslands and aquatic systems. Current projects address amphibian chytrid fungus, carp invasions, and rodent control. Articles Trends: Recent publications emphasize invasive species impacts on ecosystems, pathogen-driven niche contractions, and conservation tools like geospatial modeling and genomic simulations. Themes include species distribution modeling, pest management, and restoration ecology. Awards & Grants: Lead investigator on 35+ projects, including ARC Plant Biosecurity Training Centre and chytrid fungus mitigation efforts Associate Editor for Proceedings of the Royal Society B and Diversity and Distributions Advising: Accepting PhD students in invasive species ecology, with focus on using biological invasions to explore ecological theory and management applications. Labs/Teams: Collaborates widely on conservation genetics, aquatic invasions, and biosecurity, including work with the Biological Heritage Science Challenge and Indigenous Grasslands Trust.
Professor Gavan McNally is a distinguished behavioral neuroscientist at the University of New South Wales, where he serves as a Professor in the School of Psychology. He is actively engaged in research on the fundamental behavioral and brain mechanisms for learning and motivation, with applications to clinical conditions such as addictions, anxiety disorders, and mood disorders. McNally holds several prestigious editorial positions, including Editor-in-Chief of Neurobiology of Learning & Memory and Senior Editor of The Journal of Neuroscience. He also serves as President-Elect of the European Behavioral Pharmacology Society and is a Member of the Australian Research Council College of Experts. McNally's research interests span behavioral neuroscience, focusing on how fundamental brain mechanisms apply to clinical conditions. He employs a systems neuroscience approach, combining well-controlled behavioral approaches with optogenetics, chemogenetics, in vivo calcium imaging, and whole brain circuit mapping in both normal and transgenic animals. His work bridges basic science with clinical applications through collaborations with colleagues at University of Sydney, Sydney Local Health District, Monash University, and Turning Point. McNally's research particularly examines the cellular, circuit, and systems level mechanisms underlying learning, motivation, and their dysregulation in disorders like addiction. His laboratory investigates how these mechanisms translate to human conditions, with a strong emphasis on developing new treatments for psychological disorders. His extensive publication record demonstrates a clear trajectory in understanding punishment learning, addiction mechanisms, and the neural circuits underlying motivated behavior. Recent work has increasingly focused on the cognitive pathways to punishment insensitivity, the role of specific neural circuits in addiction, and translational approaches to understanding maladaptive behaviors. McNally's research bridges animal models with human studies, creating a comprehensive understanding of the neural mechanisms that govern learning and motivation, with particular attention to how these processes go awry in addiction and other psychological disorders. 2008 QEII Fellow, Australian Research Council 2009 Association for Psychological Science, International Rising Star 2010 Fellow, Association for Psychological Science 2010 UNSW Faculty of Science Staff Excellence Award for Research and Training 2011 Pavlovian Research Award, The Pavlovian Society 2012 Future Fellow (Level 3), Australian Research Council 2016 D.G. Marquis Behavioral Neuroscience Award, American Psychological Association 2017 Fellow, American Psychological Association 2019 Fellow of the Academy of Social Sciences in Australia 2021 D.G. Marquis Behavioral Neuroscience Award, American Psychological Association 2022 Ross Day Plenary Lecturer, Australasian Brain and Psychological Sciences 2023 European Behavioural Pharmacology Society Plenary Lecturer 2024 Elspeth McLachlan Plenary Lecturer, Australasian Neuroscience Society 2024 D.G. Marquis Behavioral Neuroscience Award, American Psychological Association Professor McNally actively supervises several students including Bixuan Lin, Si Yin Lui, Hannah Machet, Bart Cooley, Kelly Zhuang, and Alexandra Gregory. His current research is supported by significant funding including an Australian Research Council Discovery Project (2024-2026) on "Risky choices: From cells and circuits to computations and behaviour," another Discovery Project (2025-2028) on "Multimodal mapping of punishment learning," and NHMRC grants including a Synergy Grant on "Linking clinical and basic science discovery to find new treatments for alcohol-use disorder" and an Ideas Grant on "Novel pathways to abstinence from alcohol seeking." These projects reflect his commitment to both fundamental neuroscience and translational applications for treating psychological conditions. His teaching responsibilities include PSYC2081 Learning & Physiological Psychology and PSYC3051 Physiological Psychology. McNally's laboratory employs advanced techniques including optogenetics, chemogenetics, in vivo calcium imaging, and whole brain circuit mapping to investigate the neural mechanisms underlying learning, motivation, and their dysregulation in disorders. His team works at the intersection of basic neuroscience and clinical applications, with strong collaborations across multiple institutions to translate fundamental findings into potential treatments for addiction and other psychological disorders. The lab has made significant contributions to understanding the role of brain regions like the ventral pallidum, paraventricular thalamus, and nucleus accumbens in addiction, fear learning, and punishment sensitivity.
Dr. Feras Dayoub is a Senior Lecturer at the School of Computer and Mathematical Sciences (Faculty of Sciences, Engineering and Technology) at the University of Adelaide , specializing in Embodied AI and Robotic Vision within the Australian Institute for Machine Learning (AIML) . He co-directs the CROSSING French-Australian laboratory for human-autonomous agent teaming and holds an Adjunct position at the Queensland University of Technology (QUT) , serving as an Associate Investigator at its Centre for Robotics . Previously, he was a Chief Investigator at the ARC Centre of Excellence for Robotic Vision . His research focuses on advancing reliable deployment of computer vision and machine learning on mobile robots in real-world environments. Applied projects include agricultural automation , environmental conservation , and autonomous infrastructure monitoring . He has published extensively on topics like object detection , domain adaptation , 3D representation learning , and vision-language navigation , with a particular emphasis on robustness in dynamic and partially observed environments. Dr. Dayoub is also an educator specializing in programming , computer vision , and robotic perception . He contributes to open-source robotics research through tools like AARK (Autonomous Racing Toolkit) and has led teams developing solutions for precision agriculture (e.g., Deepfruits fruit detection system) and environmental monitoring (e.g., Crown-Of-Thorns starfish detection ). Key Collaborations : CROSSING Lab, QUT Centre for Robotics Research Themes : Embodied AI, Robust Perception, Domain Adaptation
Dist. Professor Leslie Yeo is a distinguished faculty member at RMIT University's School of Engineering, where he leads the Micro/Nanophysics Research Laboratory (MNRL). With a PhD from Imperial College London (2002), he has held positions at Monash University and the University of Notre Dame before joining RMIT. His research focuses on the interactions between high-frequency sound waves and matter at micro and nanoscales. Leslie Yeo's educational background includes a PhD from Imperial College London (2002), where he received the Dudley Newitt prize for outstanding computational/theoretical work. Prior to his academic career, he worked as a Mathematical Modeller at Det Norske Veritas UK. He held prestigious Australian Research Fellowships (2009-2017) that supported his groundbreaking work in micro and nanophysics. Professor Yeo's research interests center around high-frequency (MHz order) sound waves interacting with various materials including fluids, two-dimensional and bulk crystals, biomolecules, cells and microorganisms. His work explores both fundamental physicochemical phenomena and practical applications in microfluidics, drug delivery, diagnostics, tissue engineering, and materials synthesis. His research has significant implications for health technologies, environmental applications, and sustainable energy solutions, aligning with UN Sustainable Development Goals 3 (Good Health and Well-Being) and 7 (Affordable and Clean Energy). Analysis of Professor Yeo's recent publications reveals a strong focus on acoustofluidics and its diverse applications. His work demonstrates expertise in using surface acoustic waves for bacterial inactivation, synthesis of metal-organic frameworks, cell membrane manipulation, and energy conversion technologies. The research spans multiple disciplines including biomedical engineering, materials science, and environmental technology, with particular emphasis on practical applications that address real-world challenges. 2023: Fellowship of the Institution of Engineering & Technology (FIET) 2021: RMIT University Science, Technology, Engineering & Medicine College Research Impact Award 2019: RMIT University Distinguished Professorship 2018: RMIT University Vice-Chancellor's Award for Research Excellence 2016: Johnson & Johnson World Without Disease Quickfire Challenge Award 2007: Young Tall Poppy Science Award Professor Yeo has supervised numerous research students across engineering and science disciplines, with current projects focusing on acoustomicrofluidic synthesis of nanomaterials, high-frequency mechanobiology applications, and diagnostic technologies. His editorial roles include Editor-in-Chief of the American Institute of Physics journal Biomicrofluidics and Associate Editor of Frontiers in Bioengineering & Biotechnology. His work has been widely featured in media outlets including ABC's Catalyst, The Economist, and Nature. The Micro/Nanophysics Research Laboratory under Professor Yeo's leadership is at the forefront of fundamental and applied research on nonlinear high-frequency electroacoustic interactions. The laboratory has discovered novel physicochemical phenomena and actively develops theories to explain the fundamental mechanisms behind these discoveries, with applications ranging from medical diagnostics to sustainable energy solutions.
