جست‌وجوی استاد و پژوهشگر

Jan Hemmiمشاهده پروفایل

استاد

• Neuroscience
• Vision
• Animal Behaviour
• +۴ مورد دیگر

Jan Hemmi is a Professor at the University of Western Australia (UWA) within the School of Biological Sciences, affiliated with the UWA Oceans Institute and Defence and Security Institute. He holds roles including Member of the Executive Board, Chair of the Research Committee, and Honours/Masters Project Coordinator. His research focuses on sensory ecology, visual systems, and animal behavior across diverse species such as fiddler crabs, sharks, and marsupials. He has secured significant grants, including a 2025 Sasakawa Peace Foundation grant for deep-sea research and a 2024 ARC grant on termite communication. Teaching includes courses like Comparative Neurobiology and Behavioral Ecology. His work contributes to UN Sustainable Development Goals related to life below water and terrestrial ecosystems. Education : PhD in Developmental Neurobiology (ANU), MSc in Biology (University of Zürich). Research Techniques: Animal behavior analysis, electrophysiology, microspectrophotometry, and statistical modeling. Grants Overview : Over $6M in funding, including major projects on visual ecology, predator-prey dynamics, and marine biology. External roles include Research Associate at the Smithsonian National Museum of Natural History. Labs/Teams : Leads a research group exploring sensory systems and behavior in natural environments, collaborating internationally on marine and terrestrial ecosystems.

Jun Yuمشاهده پروفایل

مدرس ارشد

• MACRO-FINANCE
• ASSET PRICING

Dr. Jun Yu is a Senior Lecturer in the Department of Finance at the University of Melbourne's Faculty of Business and Economics. His research focuses on MACRO-FINANCE and ASSET PRICING, contributing to financial market dynamics and investment strategies. He is affiliated with the Centre for Asian Business and Economics, exploring economic implications in regional contexts. His academic work demonstrates interdisciplinary engagement, with publications spanning biological and medical research areas such as proteomics, cell biology, and infectious disease mechanisms. These studies include investigations into lipid droplet interactions, neuronal differentiation, and bacterial pathogenesis. Awards and grants are not explicitly mentioned in the provided materials. Dr. Yu collaborates across disciplines, evident in his diverse publication portfolio. His research integrates quantitative methods with empirical analysis, addressing both financial and biomedical challenges.

• Medical Imaging
• Medical Physics
• Cancer Research
• +۳ مورد دیگر

Dr. Tess Reynolds is Deputy Director and Thoracic Theme Lead at the Image X Institute, University of Sydney. She holds the Cancer Institute of NSW Early Career Fellowship and is a Robinson Fellow. Her expertise lies in medical imaging physics, particularly in advancing interventional Cone Beam CT (CBCT) technologies for complex surgical scenarios. She leads projects like ACROBEAT and RMG-4DCBCT, focusing on cardiac and respiratory motion management, and collaborates internationally with institutions like Johns Hopkins University. Reynolds completed her PhD at the University of Adelaide (2017) and has pioneered industry partnerships with Siemens Healthcare. Her research emphasizes reducing radiation exposure and improving imaging accuracy in oncology, cardiology, and orthopedics. She has secured grants totaling over $6M, including NHMRC Development and Synergy Grants for lung ventilation imaging and cardiac radiation protection. She has been awarded the 2022 Eureka Prize for Outstanding Early Career Researcher and the 2021 Jack Fowler Award (AAPM). Her work spans over 50 peer-reviewed articles, with recent breakthroughs in adaptive imaging protocols and non-circular CBCT orbits for metal artifact reduction. Reynolds also contributes to clinical translation through open-source tools like SpyGRT for radiotherapy guidance. Awards: Eureka Prize, AAPM Recognition, NHMRC Grants Key Projects: ACROBEAT, RMG-4DCBCT, CARE-CT Labs/Teams: Image X Institute, Sydney School of Health Sciences International Collaborations: Johns Hopkins University, University of Pennsylvania

Stephen Wroeمشاهده پروفایل

استاد

• Palaeontology
• Biomechanics
• Evolutionary Biology
• +۷ مورد دیگر

Stephen Wroe is a Professor in Evolutionary Biology at the School of Environmental and Rural Science, Faculty of Science, Agriculture, Business and Law, University of New England (UNE), Australia. He is the Director of the Function, Evolution & Anatomy Research (FEAR) Lab, a multidisciplinary team collaborating with researchers from the University of Newcastle and University of New South Wales. His research integrates 3D imaging, finite element analysis, and biomechanics to explore evolutionary patterns in living and extinct animals. His primary research areas include: Palaeontology Physical Anthropology Biomechanics Cranial Mechanics Evolution of Carnivores and Marsupials 3D Modeling of Fossil and Extant Species Wroe’s recent research publications (2018–2021) reveal a strong trend in computational biomechanics and geometric morphometrics, applied to diverse taxa such as raptors, marsupials, primates, crocodiles, and early birds. His work frequently involves finite element analysis to simulate feeding behavior, cranial stress, and locomotion, contributing to understanding evolutionary adaptations. He has developed extensive 3D models from CT scans, enabling digital 'crash-testing' of skulls to assess functional performance. His scientific honors include: ARC Discovery Outstanding Researcher Award Fellow (2014–2016) ARC QEII Research Fellow at the University of New South Wales (2006–2010) U2000 Postdoctoral Fellow at the University of Sydney (2000–2005) Wroe has supervised over two dozen higher degree research students, serving as primary supervisor for 14 PhD and 3 Honours students, and co-supervisor for 10 PhDs. He has been awarded five major Australian Research Council grants, supporting his innovative research in evolutionary biomechanics. He also coordinates the course ZOOL100 at UNE and mentors students in palaeontology and zoology. He leads the FEAR Lab, which uses cutting-edge 3D modeling and biomechanical simulation to investigate functional anatomy across evolutionary time. The lab collaborates widely and encourages student-led projects on diverse taxa, provided CT scan data is available.

Ben Rossمشاهده پروفایل

مدرس ارشد

• Medicinal Chemistry
• Computer-Aided Drug Design
• Virtual Screening
• +۱۱ مورد دیگر

Dr. Ben Ross is a Senior Lecturer at the School of Pharmacy and Pharmaceutical Sciences , Faculty of Health, Medicine and Behavioural Sciences , University of Queensland. With a background in medicinal chemistry and synthetic chemistry, his research focuses on computer-aided drug design for cancer , viral infections , and neurodegenerative diseases like Alzheimer’s. His team employs biochemical , biophysical , and cell-based assays , alongside animal models , to evaluate novel drug candidates, emphasizing ADMET properties for clinical translation. Education : BSc (First-Class Honours), University of Queensland (1999) PhD in Medicinal Chemistry, University of Queensland (2004) Research Themes include virtual screening, enzyme inhibition, ion channel modulation, and nanoparticle-based drug delivery systems . His work spans computer-aided design of acetylcholinesterase inhibitors , Orai1 calcium channel modulators , and antiviral nanoparticles . Recent projects highlight 3D-printed tablets for personalized prednisone dosing and pH-responsive nanocarriers for colon-targeted therapy. Publications demonstrate expertise in medicinal chemistry (75 total), with high-impact work in Journal of Medicinal Chemistry , ACS Applied Materials & Interfaces , and Nanoscale . Themes include virtual screening , nanoparticle drug delivery , and multi-target inhibitors for neurodegeneration and cancer. Collaborations with local and international researchers enhance translational impact. Supervision & Funding : Actively mentors PhD students in oral drug delivery , Alzheimer’s therapies , and 3D printing , with support from UQ Scholarships , NHMRC , and international programs (MOHE, Saudi Arabia, CSC). Leads the RossChemLab , emphasizing drug-likeness and collaborative discovery .

Ann Na Choمشاهده پروفایل

مدرس

• Human 3D Organoids
• Brain Organoid
• Tissue Engineering
• +۱۰ مورد دیگر

Dr. Ann Na Cho is a Lecturer in the School of Biomedical Engineering at the University of Sydney, where she serves as Principal Investigator and Group Leader of the human Brain Microphysiological System (hBMS) Laboratory. She holds prestigious fellowships including the Sydney Horizon Fellowship and NHMRC Emerging Leadership Fellowship. Dr. Cho is also a member of The University of Sydney Nano Institute, the Brain and Mind Centre, and the Charles Perkins Centre. Dr. Cho's research focuses on developing innovative human brain organoids and microphysiological systems to model brain function and disease. Her expertise spans stem cell biology, tissue engineering, microfluidics, biomaterial chemistry, nanomedicine, drug development, and bioinformatics. She established the world's first Tissue engineered human brain-on-a-chip combining human pluripotent stem cells, 3D brain-mimetic biomaterial and organ-on-a-chip technology, with her pioneering work published in high-impact journals including Nature Communications, Nature Biomedical Engineering, and Science Advances. Her research has significant implications for understanding neurological disorders, viral infections' effects on the brain (including SARS-CoV-2 induced 'brain fog'), and developing personalized therapeutic approaches without relying on animal models. Dr. Cho's publications demonstrate a clear trajectory from fundamental stem cell and tissue engineering research toward increasingly sophisticated brain models with clinical applications, particularly in neuroinflammation, psychiatric disorders, and neurodegenerative diseases. MIT Technology Review, Innovators Under 35 (TR35) Asia Pacific (2024) Australian Museum Eureka Prize Finalist for Outstanding Early Career Researcher (2024) Dean's Award, University of Sydney, Outstanding Research (2025) Vice-Chancellor Award, University of Sydney, Early Career Research of the Year (2025) Member of the Year in Nano Institute (2024) Dr. Cho mentors multiple graduate students working on cutting-edge projects including human cortex-midbrain organoid-on-a-chip platforms, neuroinflammation modeling, and mechanisms regulating TDP-43 dysfunction. She has secured significant research funding including NHMRC Investigator Grants and Sydney Horizon Fellowships focused on modeling neuroinflammation, viral infections, and developing personalized brain models for Alzheimer's disease. Her laboratory serves as a hub for interdisciplinary collaboration, connecting neuroscience, engineering, and clinical research to advance our understanding of brain function and disease.

Cheryl McCarthyمشاهده پروفایل

دانشیار

• Agricultural Engineering
• Machine Vision
• Robotics
• +۵ مورد دیگر

Dr. Cheryl McCarthy is an Associate Professor in Mechatronic Engineering and Senior Research Fellow at the University of Southern Queensland, focusing on automation and machine vision technologies in agriculture. She has been a full-time researcher since completing her PhD in 2009, with expertise in machine vision, robotics, and precision agriculture. Education: BEng (2005) and PhD (2004) in Mechatronic Engineering from the University of Southern Queensland. Research interests include crop disease detection (e.g., wheat root rot using NIR spectroscopy and machine learning), automation in farming operations, and robotic systems for precision agriculture. Her work spans orchard mapping, UAV-based irrigation monitoring, and livestock welfare assessment via machine vision. She has led projects on weed detection, fruit load estimation, and robotic navigation in agricultural environments. Key contributions include developing the 'MangoYOLO' deep learning model for fruit detection and advancing non-destructive crop sensing technologies. Her research integrates robotics, computer vision, and environmental sensing to address challenges in sustainable agriculture. Current and completed supervisions include projects on machine learning applications in meat processing, precision agriculture, and robotic localization in orchards. Major grants include farm trials for chicken welfare monitoring (2023), precision weed detection systems (2016), and harvester loss assessment (2019). Labs/Teams: Works within the Centre for Agricultural Engineering, collaborating on projects like space agriculture sensing and crop disease diagnostics.

Khaled Salehمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Autonomous Systems
• +۴ مورد دیگر

Dr. Khaled Saleh is a Lecturer in Computing and Information Technology at the University of Newcastle's School of Information and Physical Sciences. He holds a PhD in Computer Science from Deakin University (2019). Prior to his current role, he served as a Postdoc Research Fellow at the University of Technology Sydney (2020–2022) and a Research Fellow at Deakin University (2018–2019). Research Focus: AI, Machine Learning, Autonomous Systems, Computer Vision, and Intelligent Transportation Systems Grants: Secured over $683K in funding, including projects on traffic safety and AI in education Editorial Roles: Topic Editor at MDPI Sensors and reviewer for top journals/conferences (e.g., IEEE T-ITS, ICRA) Research interests span autonomous systems, traffic safety, and AI-driven solutions for transportation and education. He has published over 30 papers in top venues and actively contributes to grants and industry collaborations. Teaching: Coordinates courses like Programming Languages and Business Intelligence.

Anja Rockstrohمشاهده پروفایل

پژوهشگر ارشد

• Cancer Biology
• Prostate Cancer Research
• Transcriptomics
• +۷ مورد دیگر

Dr. Anja Rockstroh is a Research Fellow at the Queensland University of Technology (QUT), affiliated with the School of Biomedical Sciences. Her work focuses on bridging biochemistry and bioinformatics to translate genomic data into biological insights, particularly in prostate cancer research. She holds a doctorate in biochemistry from Friedrich Schiller University Jena (2007) and has over 15 years of experience in cancer genomics. Dr. Rockstroh has contributed to projects investigating cellular adaptive pathways in castrate-resistant prostate cancer, developing RNAseq and microarray analysis pipelines. She has published 17 peer-reviewed articles and secured grants including a $250K PCFA grant (2010) and a $200K Cancer Council Queensland grant. Education: Dr.rer.nat in Biochemistry, Friedrich Schiller University Jena (2007) Research Focus: Prostate cancer transcriptomics, lipid metabolism, and drug resistance mechanisms Grants: Co-investigator on PCFA-PG 4410 (2010) and APP1080379 (Cancer Council Queensland) Her research emphasizes translational applications, including identifying novel treatment resistance pathways through large-scale transcriptome profiling of over 600 prostate cancer samples. She collaborates with teams like APCRC-Q and the MRTA project, advancing understanding of androgen response pathways and metabolic reprogramming in cancer progression.

Lisa Dethridgeمشاهده پروفایل

پژوهشگر ارشد

• Responsible and Ethical Artificial Intelligence
• Human-Centered Design
• Screen and Digital Media
• +۷ مورد دیگر

Lisa Dethridge is a Honorary University Fellow at RMIT University's School of Media & Communication, specializing in Responsible and Ethical Artificial Intelligence , Extended Reality (XR) , and Human-Centered Design . She collaborates with organizations like OpenAI, Microsoft, and CSIRO while advising the Australian Internet Domain Authority (auDA). Education : PhD in Media Ecology from New York University Teaching Experience : New York University, UCLA, Australian Film, TV and Radio School, University of Melbourne Her research explores the intersection of AI ethics, virtual environments, and creative practice. She has produced media for global platforms including film, television, and 3D virtual worlds, with a focus on: AI Governance and Fairness Immersive Virtual Art Galleries Emergency Communication Systems Cross-Cultural Digital Collaborations Recent publications analyze: 4IR Technologies in Media Production Machine Learning Recommendation Systems Virtual Reality Language Instruction Transhumanist Film Collaboration She contributes to Creative Australia as a peer and sits on the Board of Melbourne Books, with artistic works exhibited internationally including at New York's Pratt Institute.

• Geophysics
• Glaciology
• Geodesy
• +۳ مورد دیگر

Dr. Paul Johnston is an Adjunct Research Fellow at Curtin University's School of Earth and Planetary Sciences, within the Faculty of Science and Engineering. His research focuses on geophysics, glaciology, and environmental science, with expertise in postglacial rebound modeling, sea-level changes, and geodetic techniques. He has conducted extensive studies on the impacts of glacial loads on Earth's crust and mantle dynamics, contributing to understanding historical ice volumes and tectonic responses. Dr. Johnston's work integrates advanced computational methods with geospatial data analysis, particularly using InSAR technology for deformation monitoring. His research also spans wildfire modeling, veterinary epidemiology, and paleoenvironmental reconstruction, reflecting interdisciplinary collaborations in Earth and planetary sciences. He has authored over 30 peer-reviewed publications since 1990, addressing topics ranging from climate-driven land movements to glacial chronology. His articles consistently explore interactions between Earth systems, such as the effects of deglaciation on seismic activity or the application of multiscale modeling for ecological disturbances. While no specific awards or grants are listed in the provided text, his contributions to geophysical and climatic research have been widely cited in fields like Quaternary science and geodynamics.

Uphar Chamoliمشاهده پروفایل

پژوهشگر

• Biomechanics
• Orthopaedic Implants
• Finite Element Analysis
• +۳ مورد دیگر

Dr. Uphar Chamoli is a biomechanist affiliated with the University of New South Wales and the Spine Labs at St. George Hospital (Kogarah). His research focuses on musculoskeletal biomechanics, particularly spinal pathologies and orthopaedic implants, bridging academia and industry for clinical translation. Education: BTech in Mechanical Engineering (2008), Indian Institute of Technology, Dhanbad MPhil in Biological Sciences (2012), UNSW Sydney PhD in Spine Biomechanics (2016), UNSW Sydney Research Interests center on orthopaedic biomechanics, finite element modeling, in vitro biomechanical testing, diagnostic imaging (CT, MR, Ultrasound, X-ray), and clinical study design. His work examines lumbar disc herniation, segmental stiffness loss, and recurrent herniation factors, developing novel imaging and computational techniques for patient-specific models. Scientific Awards include the Best Abstract & Presentation (2017, Asia-Pacific Society of Lateral Access Surgery), Young Investigator Award (2014, St. George & Sutherland Medical Research Symposium), and multiple scholarships from UNSW and international institutions. Supervision spans orthopaedic biomechanics, finite element modeling, and clinical outcomes analysis. Current PhD candidates include Vivek Ramakrishna (smart spinal implants), Xiaolong Chen (microdiscectomy studies), Kyle Sheldrick (MRI post-processing algorithms), and Geoff Smith (critical shoulder angle research).

• Structural Mechanics
• Finite Element Analysis
• Computational Mechanics
• +۷ مورد دیگر

Ali Saleh is an Adjunct Associate Professor at the School of Civil and Environmental Engineering , University of Technology Sydney. With a PhD from RWTH Aachen University, he specializes in structural mechanics, finite element analysis, and cold-formed steel systems. Dr.-Ing, RWTH Aachen University (1982) Dipl.-Ing, RWTH Aachen University (1978) His research focuses on: Composite flooring systems integrating cold-formed steel and timber Seismic performance of industrial racking structures Slender high-rise building stability Advanced global-local finite element analysis Cable-stayed bridge failure modes Key trends in his 15 most recent publications include composite systems optimization (2018-2022), connection behavior in steel structures (2013-2019), and educational innovations (2008-2011). His work has been cited over 150 times, with high-impact studies on vibration behavior and shear connector performance. As a supervisor, he has guided PhD student Ahmad Firouzianhaji (2012-2015) He has held leadership roles including Deputy Head of School (2015-2017) and contributed to 14 funded industry collaborations with Dexion (Australia) Pty Ltd since 2003. His work bridges academic research with practical applications in structural engineering.

• Control engineering
• Robotics
• Machine learning
• +۶ مورد دیگر

Felix Kong is a Lecturer at the University of Technology Sydney, Faculty of Engineering and Information Technology. He specializes in control engineering, robotics, and mechatronic systems with a focus on maritime navigation and bio-inspired locomotion. Current affiliation : University of Technology Sydney (Lecturer since 2022) Previous role : Postdoctoral Research Fellow at University of Technology Sydney (2019-2022) Education : PhD from University of Sydney His research spans multiple domains: Maritime robotics : Stochastic ship routing, ocean current estimation, visibility graph optimization Dynamic locomotion : Gait analysis in parrots, bio-inspired vertical climbing robots Control theory : Iterative learning control, contraction analysis, SLAM optimality prediction Recent publications demonstrate a strong trend toward autonomous navigation systems that integrate: Stochastic weather modeling for ship routing 3D ocean flow estimation for underwater gliders Neural network-based SLAM analysis Multi-agent planning frameworks He has received funding from: Australia's Economic Accelerator Innovate Grant (2025-2027) UTS ECR Research Capabilities Initiative (2021-2022) Teaching contributions include course development and instruction for 41099 Fundamentals of Mechatronic Engineering . Peer-review activities extend to major robotics conferences and journals.

Yingxin Linمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Statistical Genetics
• Computational Biology
• +۳ مورد دیگر

Dr. Yingxin Lin is a Researcher at the School of Mathematics and Statistics , University of Sydney , specializing in Bioinformatics and related fields. Their work spans interdisciplinary applications in biomedical engineering , biostatistics , and materials science , focusing on bone regeneration , bioceramics , and computational modeling of bone metabolism . Current Position: Researcher, Department of Statistics Email: yingxin.lin@sydney.edu.au Research Interests include: Bioinformatics applied to gene expression , signal transduction , and statistical modeling in bone biology . Biostatistical analysis of biomaterials and regenerative medicine outcomes. Computational modeling of bone remodeling and metastatic processes . Recent Publications reveal a focus on 3D-printed scaffolds , mitochondrial-targeting drugs , and biomechanical factors in bone repair and cancer progression . These works employ bioinformatics , biostatistics , and materials science to address osteoporosis , bone metastasis , and biomedical device development . Collaborative Networks include Supervisor: YH Yang Auxiliary Supervisor: JT Ormerod with no current students listed.