جستجوی استاد راهنمای دانشگاهی

Dr Nicholas Ariotti is a Senior Research Fellow at the Institute for Molecular Bioscience (IMB) and an affiliate of the Centre for Cell Biology of Chronic Disease at The University of Queensland (UQ). He holds a Bachelor of Science (Honours) and a Doctor of Philosophy from UQ. His research focuses on cellular membrane dynamics, protein trafficking, and signaling pathways, with applications in understanding cancer biology and chronic diseases. Key research interests include caveolae structure and function, lipid interactions in membranes, and the role of membrane deformability in cellular processes. He has contributed to advancements in microscopy techniques, such as cryo-correlative light and electron microscopy, enabling precise visualization of cellular components. His work spans interdisciplinary collaborations, addressing topics like HIV capsid mechanisms, spider silk nanofibers, and mitochondrial dynamics in cell division. Dr Ariotti is actively involved in supervising PhD candidates, with current projects exploring lipid signaling in cardiovascular disease, bacterial cell envelopes for antibiotic discovery, and caveolae function. He has secured funding for projects investigating insect cell membrane deformability and clathrin-independent endocytosis. His publications span high-impact journals such as Nature , Nature Immunology , and Current Biology , reflecting his expertise in molecular and cellular biology. He maintains active collaborations with institutions globally, contributing to both fundamental and applied research in cell biology and biomedical science.

• Cell Biology
• Molecular Biology
• Membrane Biology
• +۳ مورد دیگر

Associate Professor Frederik Steyn is a leading researcher in neurodegenerative diseases, particularly Motor Neurone Disease (MND), focusing on metabolic and physiological aspects. He leads the Heterogeneity in Neurodegenerative Disease Research Group at the University of Queensland's School of Biomedical Sciences and directs the Centre for Motor Neuron Disease Research . His work integrates clinical studies, pre-clinical models, and digital health technologies to advance understanding of MND heterogeneity and therapeutic development. Key projects include the MEND-MND study (metabolic dysfunction) and EATT4MND (appetite regulation). Education and Background: His career began with research in hypothalamic energy regulation. He transitioned to MND research in 2015, establishing a translational research program at UQ. He holds a Doctoral Diploma from the University of Otago. Research Interests: Metabolic dysregulation in MND, hypermetabolism, appetite loss, digital health biomarkers (e.g., actigraphy), and clinical trial development for therapies targeting metabolism. His lab collaborates with industry and international teams to validate biomarkers and test drugs like trimetazidine. Recent Article Trends: His 2023–2025 publications emphasize appetite neuroscience, metabolic biomarkers, wearable device applications, and clinical trial outcomes. They highlight interdisciplinary approaches to addressing MND heterogeneity and improving patient care. Grants & Collaborations: Active funding includes Cure for MND Foundation grants for EVs in ALS pathology and spatial transcriptomics. Collaborators span UQ (Shyuan Ngo, Robert Henderson), international institutions (King’s College London), and industry partners. Labs & Teams: The Heterogeneity Group focuses on MND subtypes (e.g., B-LONG for slow-progressing cases) and digital tools (DIGITALS program). The Centre for MND Research unites clinicians, scientists, and patient advocates.

• Motor Neurone Disease (MND)
• Neurodegenerative Diseases
• Metabolism
• +۴ مورد دیگر

Prof. Ute Marx is a Professor of Medical Technology at Hochschule Pforzheim, Germany. She holds a habilitation (2003) and PhD (1996) in Natural Sciences from Universität Bayreuth. Her research focuses on renewable energy from algal biomass, digital healthcare innovation, and market research in medical technology. Previously, she served as Senior Research Officer at the University of Queensland (2004-2008), and held academic roles at Universität Bayreuth including Privatdozentin (2003-2015). Education: Diplom-Naturwissenschaftler (1993), Dr. rer. nat. (1996), Habilitation (2003) Professional Memberships: Active in biofuels research, medical imaging AI, and hospital technology modernization Her awards include the Bavarian Habilitation Fellowship (2003) and recognition from the Chemical Industry Fund (1996) for academic excellence. She has co-authored over 30 peer-reviewed publications across biomedical engineering, metabolic disorders, and renewable energy systems.

• International Market Research
• Renewable Energy from Algal Biomass
• Digitalization in Healthcare
• +۴ مورد دیگر

Inge Koch serves as Adjunct Professor and head of Statistics and Data Science in the Department of Mathematics and Statistics at the School of Physics, Maths and Computing, The University of Western Australia (UWA), a position she commenced in early 2019. Her research centers on multivariate and high-dimensional data analysis with specific expertise in: Dimension reduction and feature extraction methodologies Clustering and classification algorithms Sparsity-constrained statistical models Applications in medical imaging (flow cytometry, cancer proteomics), neuroimaging (fMRI signal processing), and astronomy (source detection) Recent publications reveal a methodological focus on advancing statistical techniques for pattern recognition in complex datasets, bridging theoretical statistics with real-world applications across biomedical and astronomical domains while maintaining strong educational research components. Koch supervises graduate students and actively shapes academic discourse through leadership roles including chairing the UWA Data Science Forum and organizing the Statistics Seminar Series. Her prior tenure as Executive Director of the Australian Mathematical Sciences Institute (2015-2019) featured leadership of the BHP-funded CHOOSEMATHS initiative promoting women's participation in STEM fields.

• Statistics
• Data Science
• Multivariate Analysis
• +۷ مورد دیگر

Dr. Jingjing Li is a Research Fellow at the Graduate School of Biomedical Engineering, UNSW Sydney, specializing in developing microfluidic models to study blood and cardiovascular development from pluripotent stem cells. Her work focuses on integrating biomechanical and biochemical cues to enhance cell differentiation and therapeutic applications. Education: PhD (Biomedical Engineering, UNSW, 2019), Master of Biomedical Engineering (UNSW, 2011), Bachelor of Biomedical Engineering (Capital Medical University, 2007). Research Interests: Microfluidic systems, stem cell bioengineering, cardiovascular development, and hemato-poietic lineage specification. Her lab uses lab-on-a-chip technologies to mimic fetal circulation and study blood formation dynamics. Awards: Recognized for contributions to stem cell research, including travel grants and fellowships from ASSCR, AGCTS, and UNSW. Grants: Lead and contributed to projects on cell manufacturing, microfluidics for medical devices, and cardiovascular disease modeling. Supervision: Co-supervises PhD candidate Ada Lee on scaling lab-on-a-chip systems for cell therapies. Engagement: Active in ISSCR, ISCT, and UNSW’s CVMM Theme. Teaches biomedical instrumentation and engineering courses.

• Biomedical Engineering
• Regenerative Medicine
• Cardiovascular Medicine
• +۵ مورد دیگر

Professor Esa Jaatinen is a Professor at the School of Chemistry & Physics, Queensland University of Technology (QUT). He holds academic leadership roles including Director of Graduate Research Education and Development and Chair of the Research Degrees Committee. His research focuses on nonlinear optics, laser physics, and plasmonic photocatalysts, with applications in sensor technology and environmental protection. Education: PhD in Laser Physics (Australian National University) GradCert(TechManag) (Deakin University) BSc(Hons) in Physics (University of Queensland) Research Interests: Jaatinen's work spans Stand-off Raman sensors, surface-enhanced Raman scattering (SERS), plasmonic photocatalysts, and nonlinear optical phenomena. He emphasizes practical applications such as explosive detection and environmental monitoring. His contributions include developing UV stand-off Raman systems and advancing photocatalytic materials for visible-light reactions. Publications & Awards: With over 50 publications, his recent work includes studies on laser-induced fluorescence, UV-C disinfection, and nonlinear optical materials. Notable awards include the 2001 Iizuka Prize and Senior Membership in the Optical Society of America. Grants & Roles: He leads projects funded by Australian Competitive Grants, including portable Raman sensor development. His administrative roles focus on HDR student development and research training. Labs & Teams: Jaatinen collaborates with QUT's Centre of Materials Science and leads interdisciplinary teams in nanosensors and environmental analytics.

• Laser Physics
• Nanoparticles
• Nonlinear Optics
• +۳ مورد دیگر

Dr Bill Lott is a Researcher at Queensland University of Technology (QUT), affiliated with the School of Chemistry & Physics. He holds a PhD in Organic Chemistry from the University of Utah. His primary research focuses on nanotechnology, medical biotechnology, and virology, with a particular emphasis on antiviral drug design targeting hepatitis C and dengue viruses. He has pioneered studies on RNA structure-function relationships in viral replication mechanisms and developed innovative nanosensors for molecular diagnostics. Dr Lott is actively involved in projects such as functionalized RNA aptamer nanoparticles for SERS-based detection and bone marrow-derived stem cell research. He also explores the interplay between molecular strategies used by Flaviviridae viruses and host factors. His work bridges fundamental virology with clinical applications, including drug design and diagnostic tools. Education: PhD in Organic Chemistry (University of Utah) Professional Memberships: Australian Society for Biochemistry and Molecular Biology, American Association for the Advancement of Science His research interests span RNA virology, stem cell engineering, and biomedical sensor development. Recent publications highlight advancements in microtissue implantation, video-based grant proposals, and enzymatic discrimination of amino acid derivatives. He advocates for science education and accessible communication of scientific research.

• Nanotechnology
• Medical Biotechnology
• Virology
• +۷ مورد دیگر

Professor Con Doolan is a leading academic in aeroacoustics and fluid dynamics at UNSW Sydney's School of Mechanical and Manufacturing Engineering. He heads the Flow Noise Group, focusing on noise reduction in aerospace, wind energy, and transport sectors. His research spans turbulence, fluid-structure interactions, and noise control, with over 400 publications. Education: PhD in Aerospace Engineering (University of Queensland), Honours in Mechanical Engineering. Leadership Roles: Director of Postgraduate Research Examinations (UNSW Engineering), Associate Dean (Education), UNSW College Academic Board member. Teaching: Courses in Aerodynamics, Flight Mechanics, and Acoustics. Research Interests: Aeroacoustics, flow-induced noise, acoustic beamforming, wind turbine noise, and turbulence physics. He collaborates with industries in defense, energy, and healthcare to translate research into practical solutions. Key Projects: UNSW Anechoic Wind Tunnel, Cough Dynamics Experiments, Classroom Air Quality Studies. His work on mask efficacy during pandemics has had global impact. Grants & Collaborations: Extensive ARC funding, partnerships with mining, aerospace, and construction sectors. Active in interdisciplinary projects like waste-to-noise-attenuation materials. Labs/Teams: Flow Noise Group (specializing in experimental and computational aeroacoustics), collaborations with medical and environmental teams for infection control studies.

• Aeroacoustics
• Aircraft Noise
• Wind Turbine Noise
• +۵ مورد دیگر

Dr. Tianruo Guo is a Lecturer of Neuromodulation and Early Career Academic Fellow at the Graduate School of Biomedical Engineering, UNSW Sydney. He leads a computational modelling team focused on developing virtual nervous systems and advancing neuromodulation therapies. His research integrates computational techniques with experimental neuroscience to study neural responses to electrical/optogenetic stimulation, particularly in retinal degeneration and bionic device design. He has pioneered the 'Virtual Human Retina' platform for optimizing artificial vision solutions and has published over 80 peer-reviewed articles. Dr. Guo holds a PhD in Computational Neurophysiology from UNSW (2015), along with a Master of Philosophy (2011) and Bachelor of Engineering (2007). Research Interests : Computational Modelling, Neuromodulation, Bionic Vision, Retinal Prosthetics, Neurophysiology, and Optogenetic Stimulation. His work spans experimental neuroscience, virtual organ simulations, and translational biomedical engineering. Grants & Awards : Over AUD $1.8M in research/education funding, including grants from UNSW, The Royal Society, and industry partners. Awards include UNSW Excellence in HDR Supervision (2024), ABEC Best Poster (2018), and multiple travel grants. He co-chaired EMBC2023 and served as Topic Editor for Journal of Neural Engineering . Advising & Teaching : Supervises 30+ PhD/MPhil students and mentors across institutions. Teaches courses on Bioelectronics, Modelling Organs, and Computational Neurophysiology. Leads educational projects on biomedical engineering innovation. Labs & Collaborations : Active in transdisciplinary projects, including closed-loop vagus nerve stimulation for inflammatory diseases and collaborations with Tsinghua University, Shanghai Jiao Tong University, and industry partners like Lixi Biological Products.

• Neuromodulation
• Computational Simulation
• Bionics
• +۷ مورد دیگر

Professor Lynne Bilston is a leading academic in Biomedical Engineering at UNSW Sydney, affiliated with the Graduate School of Biomedical Engineering and Neuroscience Research Australia. Her research focuses on biomechanics of nervous system injury, neurotrauma mechanisms, and imaging techniques such as MRI/MR elastography. She explores how mechanical loading affects neural tissues across scales—from molecular to whole-body dynamics—to inform injury prevention and treatment. Expertise: Biomechanical engineering, neural tissue mechanics, obstructive sleep apnea, pediatric biomechanics. Affiliations: Chair of Australian Standards Committee for Child Restraints, Fellow of Academy of Health and Medical Sciences. Her work integrates clinical imaging (e.g., tagged MRI, MR elastography) with computational modeling to study conditions like syringomyelia, hydrocephalus, and spinal fluid dynamics. She also investigates child restraint safety, publishing extensively on injury prevention and restraint design. Key contributions include over 150 peer-reviewed articles, focusing on injury mechanisms, imaging innovations, and public health interventions. Awards include a Fellowship from the Academy of Health and Medical Sciences.

• Biomechanical Engineering
• Neurotrauma
• Imaging Techniques (MRI/MR Elastography)
• +۴ مورد دیگر

Professor Victor Solo serves as Director of Research with the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). With an extensive academic career spanning over four decades since earning his PhD from the Australian National University in 1979, he has established himself as a leading expert in multiple interdisciplinary fields. University: University of New South Wales School: School of Electrical Engineering and Telecommunications Department: Electrical Engineering and Telecommunications Position: Professor and Director of Research Professor Solo received his BSc from the University of Queensland, followed by a BSc (first class honors) and BE (first class honors) from UNSW, culminating in a PhD from ANU in 1979. His educational background provided the foundation for his diverse research career spanning engineering, mathematics, and biomedical applications. His research interests encompass a wide range of theoretical and applied topics, with particular emphasis on Systems and Signal Processing, Control Theory, and Ill-Conditioned Inverse Problems. He has made significant contributions to Econometrics and Time Series Analysis, developing innovative approaches to System Identification. His work extends into biomedical domains through research in Medical Imaging and Computer Vision, as well as Neuroengineering through studies of Neural Coding and Point Processes. Professor Solo's interdisciplinary approach bridges theoretical mathematics with practical applications across engineering and medical fields. Analysis of Professor Solo's recent publications reveals a strong focus on advanced statistical modeling techniques, particularly in time series analysis and point process modeling. His work consistently addresses stability and identifiability challenges in complex models, with recent publications exploring Vector Autoregressive models, Hawkes processes, and stochastic differential equations on manifolds. The research demonstrates a progression from foundational theoretical work to increasingly sophisticated applications in network modeling and biomedical signal processing. Professor Solo has maintained an exceptionally productive research career with publications spanning from 1981 to the present, demonstrating remarkable longevity and adaptability in his research focus. His work shows consistent contributions across multiple high-impact journals including IEEE Transactions on Signal Processing, Automatica, and Neural Computation. While specific awards are not listed in the available information, his sustained publication record in top-tier journals indicates significant recognition within his fields of expertise. As Director of Research, Professor Solo likely oversees research strategy and development within the School of Electrical Engineering and Telecommunications. His extensive publication record suggests active supervision of graduate students and postdoctoral researchers, though specific names of advisees are not provided in the available information. His research has likely attracted substantial grant funding given the scope and duration of his work across multiple domains.

• Systems and Signal Processing
• Control Theory
• Ill-Conditioned Inverse Problems
• +۷ مورد دیگر

Associate Professor Torsten Lehmann is a faculty member in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). He holds the position of Associate Professor in Microelectronics and maintains an active research program focused on advanced circuit design for biomedical applications and cryogenic systems. His work spans multiple disciplines at the intersection of electronics engineering, biomedical technology, and quantum computing interfaces. Dr. Lehmann's research interests encompass several cutting-edge areas of microelectronics: Solid-state circuits and systems CMOS circuits at cryogenic temperature Ultra low-power CMOS design Bio-medical microelectronics Cochlear implants and vision prostheses High-performance analogue circuits in deep sub-micron CMOS His recent publication record demonstrates a strong focus on neural interfaces and optrode technology, with significant contributions to the development of optical neural stimulation and recording systems. Over the past five years, his research has increasingly concentrated on optrode arrays, biopotential sensing, and charge-balanced stimulation techniques for neural applications. His work bridges the gap between traditional electronic circuit design and emerging biomedical applications, particularly in vision and hearing prostheses. A consistent theme throughout his publications is the development of specialized circuits for challenging environments, whether ultra-low temperatures for quantum computing or implantable medical devices requiring extreme power efficiency. Dr. Lehmann has made significant contributions to the field of microelectronics for biomedical applications, particularly in the development of circuits for vision prostheses and neural stimulation systems. His work on cryogenic circuits for quantum computing interfaces represents an important bridge between traditional electronics engineering and emerging quantum technologies. His research group appears to be actively involved in several collaborative projects related to neural engineering and biomedical implants, working with colleagues across UNSW and with clinical partners. The lab likely focuses on the design and testing of specialized integrated circuits for challenging applications where conventional electronics face significant limitations.

• Solid-state circuits and systems
• CMOS circuits at cryogenic temperature
• Ultra low-power CMOS design
• +۶ مورد دیگر

Dr. David Tsai is a Senior Lecturer at the University of New South Wales (UNSW), jointly appointed between Biomedical Engineering and Electrical Engineering. He leads the Biomedical Microsystems Lab , focusing on miniature microelectronic devices for brain-machine interfaces and subcutaneous biosensing. His research has been continuously funded by the NHMRC since 2013, including an ongoing Ideas grant for soft brain-machine interfaces. He has secured >$3.8M in total funding, with support from the Kavli Foundation and ARC Linkage Infrastructure Grants . His work has appeared in Nature Communications , Nature Nanotechnology , and IEEE Transactions on Biomedical Circuits and Systems . Scientific Recognition: IEEE EMBC Student Paper Award (twice) IEEE EMBC Best Papers Award NHMRC CJ Martin Fellowship (2013-2017) Kavli Foundation Postdoctoral Fellowship (2012-2013) Education: PhD in Biomedical Engineering (2012), UNSW MBiomedE (2007), UNSW BE (Software, First Class Honours) (2007), UNSW Research Themes: Development of ultra-dense microelectrode arrays for cellular-resolution electrophysiology, computational modeling of retinal responses to electrical stimulation, and standardization of neurotechnology data formats. His lab collaborates with industry partners like LeafLabs LLC , BlackRock Microsystems , and Contactile .

• Biomedical Engineering
• Microelectronics
• Neural Interfaces
• +۴ مورد دیگر

Thomas Taimre is a Senior Lecturer in Statistics at the School of Mathematics and Physics, University of Queensland. He teaches undergraduate courses in statistics and financial mathematics and leads research in applied mathematics, stochastic modeling, and optical engineering. His work bridges theoretical frameworks with practical applications in terahertz laser technology and optimization algorithms. Research Focus: Dr. Taimre's interdisciplinary research spans: Mathematical Statistics: Rare-event simulation, stochastic processes, and Monte Carlo methods. Optical Engineering: Terahertz quantum cascade lasers, laser feedback interferometry, and biomedical imaging. Operations Research: Resource optimization, queueing theory, and decision support systems for environmental and industrial challenges. Publication Trends: His recent articles (2022-2025) emphasize terahertz imaging advancements, laser dynamics, and optimization techniques. Dominant themes include quantum cascade laser applications, laser feedback interferometry for medical diagnostics, and stochastic methods for complex system modeling. Funding & Supervision: He contributes to major grants like the ARC Training Centre for Information Resilience (2021-2026) and supervises graduate research. No awards are listed.

• Applied Mathematics
• Operations Research
• Scientific Computing
• +۵ مورد دیگر

Dr. Sajib Kumar Saha is a Research Scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia, with honorary and adjunct affiliations at the University of California-Los Angeles (UCLA) and Murdoch University. His work bridges artificial intelligence, medical imaging, and clinical decision support, focusing on automated diagnosis of eye diseases. PhD in Biomedical Imaging, University of New South Wales, Canberra, Australia (2015) Erasmus Mundus Master in Color in Informatics and Media Technology, University Jean Monnet, France & Norwegian University of Science and Technology, Norway (2011) Bachelor of Science (Hons) in Computer Science and Engineering, Khulna University, Bangladesh (2007) Dr. Saha's research lies at the forefront of AI-driven healthcare innovation. His expertise spans artificial intelligence, computer vision, medical imaging, deep learning, and clinical decision support systems , particularly for ophthalmic conditions like diabetic retinopathy and glaucoma. He applies machine learning to analyze retinal images, X-rays, and mobile-based diagnostics to improve early detection and remote monitoring. His recent publications and grants reflect a strong trend toward translational AI in medicine , with projects involving smartphone-based glaucoma assessment, automated teleretinal screening, AI for diabetic foot infections, and cavity detection from dental photos. These works emphasize real-world implementation, home-based care, and integration into primary healthcare settings. Notable scientific awards include: Julius Career Award (CSIRO) Endeavour Visiting Research Fellowship Office of Chief Executive Postdoctoral Fellowship Best Presenter, International Conference on Machine Vision (2012) Erasmus Mundus Scholarship Rising Star Award, Science on the Swan 2018 Dr. Saha has secured multiple competitive grants as Chief Investigator or Principal Investigator, including from WA Future Health Research and Innovation (FHRI), Australia-Vietnam Enhanced Economic Engagement, CSIRO ACORN, and Spinnaker. These grants support the development and deployment of AI tools in clinical environments. He has also advised or mentored researchers through collaborative projects, though formal student names are not listed. He has delivered invited seminars at leading institutions including the University of Paris, University of Milan, and ETH Zürich, and serves on the editorial board of EC Ophthalmology and the programming committee of ICONIP. His professional memberships include IEEE Computer Society and the Association for Research in Vision and Ophthalmology (ARVO).

• Artificial Intelligence
• Medical Imaging
• Computer Vision
• +۹ مورد دیگر