جست‌وجوی استاد و پژوهشگر

• Turbulence
• Unmanned Systems
• Sensors
• +۵ مورد دیگر

Dr. Abdulghani Mohamed is a Senior Lecturer in the School of Engineering at RMIT University, specializing in aerospace engineering with a focus on unmanned aerial systems, turbulence research, and biomimetic flight technologies. His research integrates principles from biology with engineering applications to advance drone technology and flight control systems. His research interests span Turbulence , Unmanned Systems , Sensors , Biomimetics , Aerodynamics , Experimental fluid dynamics , Computational fluid dynamics , and Energy harvesting systems . Dr. Mohamed's work demonstrates a strong connection between natural flight mechanisms observed in birds and engineered solutions for drone technology. His recent publications (2018-2024) reveal consistent research productivity with a clear trajectory toward increasingly sophisticated drone control systems, turbulence adaptation mechanisms, and biomimetic applications. The research shows a progression from fundamental aerodynamic studies toward practical implementations in urban air mobility and advanced drone systems. Open to Masters Research or PhD student supervision Active research projects in drone propeller optimization, turbulence mitigation, and biomimetic flight Dr. Mohamed maintains an active research program with numerous projects related to unmanned aerial systems and their applications in complex environments. His work bridges theoretical aerodynamics with practical engineering solutions for next-generation flight systems.

David Nikolic-Patersonمشاهده پروفایل

استاد مدعو

• Chronic Kidney Disease
• Inflammation
• Fibrosis
• +۳ مورد دیگر

David Nikolic-Paterson is an Adjunct Professor of Medicine at Monash University's Monash Health Centre for Inflammatory Disease. He leads a research laboratory focused on mechanisms of inflammation and fibrosis in kidney disease and transplant rejection, with particular emphasis on signaling pathways in leukocytes, kidney cells, and fibroblasts. His work combines experimental models (human and animal) with clinical trials, including studies on ASK1 inhibitors for diabetic kidney disease. He has collaborated extensively with international researchers and pharmaceutical companies. Current research projects include engineering anti-fibrotic therapies for chronic kidney disease, dissecting cystogenic pathways in polycystic kidney disease, and developing human kidney organoid models to replace mouse studies. He has led or co-led 25+ research projects since 2009, securing funding for initiatives like biomarker identification for therapy response and improving outcomes in cardiac surgery-induced kidney injury. His publications (264+) span experimental kidney disease, clinical trials, and pre-clinical studies. Key areas include cellular senescence, PAR2 signaling, podocyte biology, and anti-fibrotic drug discovery. He currently supervises 4 PhD students and maintains active collaborations through Monash Health and international networks. Key Projects: ASK1 inhibitor trials, kidney organoid modeling, biomarker development Grants/Support: Multiple ARC and NHMRC grants since 2016 Labs/Teams: Head of Research Lab at Monash Health, collaborating with Polo (STEM cell), Combes (fibrosis), and Tesch (clinical trials)

Swamy Ananthanarayanمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Accessible Computing
• Tangible User Interfaces
• +۴ مورد دیگر

Swamy Ananthanarayan serves as Senior Lecturer in the Department of Human Centred Computing at Monash University, where he designs interactive systems for underserved populations including people with disabilities, children, indigenous groups, and low socioeconomic status communities. His research integrates tangible computing and physical technologies to address real-world accessibility challenges while actively mentoring PhD students through multiple funded projects extending to 2026. Education: PhD in Computer Science and Cognitive Science, University of Colorado Boulder (awarded December 19, 2015) Research Focus: Dr. Ananthanarayan pioneers inclusive human-computer interaction through tangible interfaces , wearable systems , and ambient displays targeting marginalized user groups. His work spans computational toolkits for children , multimodal bicycle safety interfaces , and intergenerational storytelling platforms , directly advancing UN Sustainable Development Goals for reduced inequalities (SDG 10) and quality education (SDG 4). Publication Trends: Analysis of 37 publications reveals escalating focus on accessibility for intellectual disabilities (evident in MakerVan projects), WaterHCI as an emerging domain, and recent integration of generative AI for screen reader enhancement. His 2022-2025 output shows methodological consistency in participatory design while expanding into health-focused applications and sensory augmentation techniques. Scientific Recognition: 2024 Good Design Award (Social Impact) for Co-Designing STEAM experiences with people with intellectual disabilities Research Leadership: As Chief Investigator, he directs three significant initiatives: Making eMaking Accessible (2023-2026) developing toolkits for intellectual disabilities; MakerVan (2022-2023) delivering mobile STEM workshops across Victoria; and Digital Health Inclusion (2022) improving healthcare access for disabled populations. His grants emphasize community co-creation with disability organizations and real-world deployment. Research Infrastructure: The Accessible Markervan mobile makerspace serves as his primary community engagement platform, enabling field-based co-design sessions with disability communities across Victoria. This initiative operates through interdisciplinary partnerships between Monash University, disability service providers, and government health agencies to ensure technology solutions emerge directly from user needs.

Jane Hunterمشاهده پروفایل

استاد

• Semantic Web
• Data Integration
• eScience
• +۳ مورد دیگر

Jane Hunter is an Honorary Professor in the School of Electrical Engineering and Computer Science at the University of Queensland. Her research focuses on semantic web technologies, data integration, and eScience, with significant contributions to ontology development, digital libraries, and environmental informatics. She leads projects such as OzTrack for animal tracking data and the 3D Water Atlas for groundwater visualization. Her work emphasizes interdisciplinary collaboration, leveraging semantic web principles to enhance data interoperability and decision-making in fields ranging from environmental science to healthcare. Her research interests include semantic annotation systems for cultural heritage, citizen science data management, and evidence-based policy frameworks using global indicators. Notable contributions include developing the Open Annotation Collaboration model and pioneering tools like MatSeek for materials scientists. She has collaborated internationally on initiatives such as the Health-e-Waterways project and the SKELETOME skeletal dysplasia knowledge platform. Jane has authored over 150 publications across journals like Hydrogeology Journal , Journal of Biomedical Informatics , and Ecological Informatics , reflecting her expertise in applying computational methods to complex scientific challenges. Her work bridges technical innovation with societal impact, addressing issues from biodiversity tracking to urban sustainability.

Marion Mundtمشاهده پروفایل

پژوهشگر ارشد

• Biomechanics
• Machine Learning
• Sports Engineering
• +۳ مورد دیگر

Marion Mundt is an Adjunct Research Fellow at the University of Western Australia (UWA), affiliated with both the UWA Law School and the School of Human Sciences. Her research focuses on the intersection of biomechanics, artificial intelligence, and sports science, with a strong emphasis on applying machine learning techniques to motion analysis and performance optimization. She specializes in areas such as markerless motion capture, gait analysis, and athlete tracking, leveraging neural networks and sensor technologies to advance biomechanical modeling. Expertise: Biomechanics, Machine Learning, Sports Engineering, and Artificial Intelligence Affiliations: UWA Tech & Policy Lab, School of Human Sciences, UWA Law School Her work contributes to UN Sustainable Development Goals related to health and innovation. Recent research includes developing methods for automating video-based motion analysis, clustering offensive strategies in team sports, and estimating gait events using LSTM networks. She has also pioneered techniques for synthesizing 2D video data from 3D motion captures to enhance machine learning applications. Mundt has received four notable awards, including recognition for her contributions to wearable technology and AI-driven biomechanical models. She actively participates in conferences such as the International Society of Biomechanics in Sports and has secured grants like the AIS Research and Development Grant (2023). Her research bridges lab-based insights with real-world applications, aiming to improve sports performance, injury prevention, and clinical diagnostics. Mundt collaborates with interdisciplinary teams and leads initiatives in the UWA Tech & Policy Lab, focusing on technology’s societal impact. Her future work continues to explore AI advancements in biomechanical systems and their practical implementations in sports and healthcare.

Andrew Skidmoreمشاهده پروفایل

استاد

• Hyperspectral Remote Sensing
• LiDAR Remote Sensing
• Vegetation Monitoring
• +۳ مورد دیگر

Andrew Skidmore is a Professor of Spatial Ecology at Macquarie University and holds an Honorary Professorship at the University of Twente. He specializes in hyperspectral and LiDAR remote sensing technologies for vegetation monitoring, biodiversity conservation, and climate change impact analysis. His research focuses on developing innovative image processing techniques and essential biodiversity variables (EBVs) for sustainable natural resource management. Previously, Skidmore worked for the Forestry Corporation of New South Wales and served as Head of the Department of Natural Resources at the University of New South Wales from 1997. He has directed the Centre for Remote Sensing and GIS and currently leads projects on coastal blue carbon ecosystems, forest community monitoring, and climate adaptation strategies in Australia and Europe. His research interests include canopy structure analysis, ecosystem resilience, and the integration of environmental DNA (eDNA) with satellite remote sensing. Skidmore has contributed to over 450 publications and collaborates internationally on biodiversity observation systems. He has received grants for projects such as 'Monitoring Blue Carbon Ecosystems' and 'Can coastal floodplains survive ferals and rising seas?' Key awards and recognitions are not explicitly listed, but his extensive editorial work includes roles at the International Journal of Applied Earth Observation and Geoinformation . His advisory efforts focus on leveraging remote sensing for ecological conservation and policy alignment with essential biodiversity variables.

• Computer Vision
• Machine Learning
• Stereo Matching
• +۴ مورد دیگر

Wei Qin Chuah is a Lecturer at the School of Engineering at RMIT University, Australia, specializing in computer vision and machine learning. His research focuses on developing robust and generalizable models for various computer vision applications, particularly in the domains of stereo matching, depth estimation, and autonomous vehicle systems. Dr. Chuah's research interests span several key areas with particular emphasis on domain generalization and domain adaptation techniques that enable models trained on synthetic data to perform well on real-world applications. He has made significant contributions to stereo matching and depth estimation systems, developing methods to improve long-range perception for autonomous vehicles. His work on Neural Radiance Fields (NeRF) addresses challenges in learning from corrupted or uncurated image collections. Additionally, he has explored applications of computer vision in diverse domains including industrial inspection , veterinary assistance systems , and traffic management around construction sites. Analysis of Dr. Chuah's publication trends reveals a consistent focus on addressing the challenge of synthetic-to-real domain shift , developing innovative methods like Information-Theoretic Shortcut Avoidance (ITSA) to prevent models from learning spurious correlations in synthetic training data. His recent work extends to keypoint estimation for industrial applications using micro-CT imaging and transfer learning, as well as developing artifact-free Neural Radiance Fields from uncurated image collections. Dr. Chuah is currently supervising research projects including Learning Robust and Generalisable Models for Computer Vision Using Animation , indicating his ongoing commitment to training the next generation of computer vision researchers. His collaborative work spans multiple institutions, with frequent co-authorship patterns suggesting strong research partnerships with colleagues including Tennakoon R, Hoseinnezhad R, and Bab-Hadiashar A. His research bridges theoretical advances in machine learning with practical applications in autonomous systems, industrial automation, and healthcare.

Mikko A.J. Finniläمشاهده پروفایل

استادیار

• Medical Imaging
• Osteoarthritis
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Mikko A.J. Finnilä is an Assistant Professor in the Research Unit of Medical Imaging Physics and Technology at the University of Oulu's Faculty of Medicine. His work focuses on advancing computed tomography techniques for osteoarthritis (OA) research. Research interests include: Contrast-enhanced CT and high-resolution CT/x-ray microscopy Image segmentation and machine learning applications Development of imaging biomarkers for OA diagnosis Soft tissue high-resolution CT imaging Publications demonstrate expertise in microstructural analysis of cartilage and bone using CT, with emphasis on automated methods and clinical translation. Currently no scientific awards listed.

Frederick Hardtkeمشاهده پروفایل

مدرس پاره‌وقت

• Rock Art
• Egyptian Archaeology
• Virtual and Digital Heritage
• +۳ مورد دیگر

Frederick Hardtke serves as an Academic Casual in the School of Computing and Honorary Research Fellow in the School of Humanities at Macquarie University, leveraging 20+ years of archaeological fieldwork expertise in Egypt with specialization in rock art documentation and virtual heritage technologies. His academic credentials include: BA from Macquarie University (2003) MA by Research from Macquarie University (2012) PhD from Macquarie University (2016) focusing on rock art at Hierakonpolis, Egypt Research centers on rock art as material culture within arid environments, particularly Egyptian Predynastic/Early Dynastic periods, with emphasis on digital preservation methodologies. Current leadership of the Belgian-Australian mission to El Hosh employs advanced 3D capture techniques to document threatened petroglyphs spanning Palaeolithic to modern eras. Recent publications (2019-2024) reveal consistent thematic focus on Egyptian rock art interpretation, legacy data integration, and cultural dynamics, featuring significant discoveries like 'Goat-Fish' iconography and camouflaged chameleon depictions at El Hosh. Recognition includes: Chandra Jayawardena Memorial Prize (1999) Active research involvement includes Associate Investigator roles in the Centre for Ancient Cultural Heritage and Environment (CACHE, 2019-2022) and Macquarie University Mission to El Hosh (2019-2020), with 13 presentations on rock art chronology and contextual analysis since 2005. He directs the multinational Belgian-Australian archaeological mission at El Hosh, Egypt, dedicated to comprehensive documentation of one of the Nile Valley's most significant rock art landscapes facing environmental and anthropogenic threats.

Lachlan Kelseyمشاهده پروفایل

پژوهشگر ارشد

• Hemodynamics
• Cardiovascular Research
• Computational Fluid Dynamics
• +۳ مورد دیگر

Lachlan Kelsey is an Adjunct Research Fellow at the UWA Medical School, affiliated with the UWA Centre for Medical Research and the Harry Perkins Institute of Medical Research. His work focuses on hemodynamics, cardiovascular disease mechanisms, and medical device innovation. He holds a PhD and has contributed to over 34 peer-reviewed publications since 2015. His research interests include computational fluid dynamics (CFD), vascular physiology, and translational medical engineering. Key areas of study involve endovascular aneurysm dynamics, coronary plaque activity, placental vascular networks, and peripheral intravenous catheter design. His work addresses clinical challenges such as aortic dissection repair, microgravity-induced circulatory changes, and pandemic-related PPE manufacturing. Notable contributions include developing novel CFD models for predicting aneurysm progression and co-inventing a peripheral IV catheter design that reduced failure rates in porcine models. His 2021 Western Australian Innovator award recognized advancements in cardiovascular device innovation. Collaborations span institutions globally, with projects funded by health research grants. Supervision includes one doctoral student completing a thesis on vascular access technologies. His lab integrates biomedical engineering, clinical imaging, and mechanobiology to advance personalized vascular care.

• Image Processing
• Signal Processing
• 3D Environments
• +۴ مورد دیگر

Stuart Perry is a Professor at the University of Technology Sydney (UTS), serving as Head of Discipline for Signal Processing and Analytics in the School of Electrical and Data Engineering. He holds affiliations with UTS' Faculty of Engineering and Information Technology, the Global Big Data Technologies Centre, and the Visualization Institute. With over 20 years of experience, his career spans roles at DSTO and Canon Information Systems Research Australia (CiSRA), focusing on image processing, signal processing, and perceptual quality measurement. Perry co-directs the Perceptual Imaging Laboratory (PILab), researching 3D environments, light field technologies, and human perception in immersive realities. He actively contributes to international standards committees like ISO/TC42 and ISO/SC29/WG7, leading JPEG's point cloud coding efforts. His research emphasizes adaptive image processing, machine learning-driven object detection, and medical imaging applications. Perry has authored 60+ publications, two books, and 20 patents. Current projects include VR empathy case studies, point cloud compression, and disaster management digital transformation. Education: PhD in Engineering, University of Sydney (1999) Research Interests: His work bridges computational imaging and human perception, addressing challenges in augmented/virtual reality (AR/VR), 3D scanning, and immersive media. Key areas include light field and point cloud coding, psychophysics of visual perception, and medical diagnostics via machine learning. He explores how perceptual principles can optimize interactive technologies for education, healthcare, and entertainment. Recent Research Trends: Recent articles focus on 3D Gaussian splatting, glaucoma detection via deep learning, and JPEG Pleno standards for plenoptic imaging. His work balances technical innovation (e.g., efficient point cloud compression) with human-centric design (e.g., reducing VR motion sickness through display lag analysis). Awards & Recognition: Member of IEEE and founding SPINet participant. Over 60 refereed publications and 20 patents highlight his industry-academic impact. Grants & Leadership: Leads SmartSat CRC projects on yield estimation and Aus4innovation-funded disaster response tech. Manages grants totaling millions AUD. Editorial roles include Associate Editor of SPIE/IS&T Journal of Electronic Imaging. Labs & Collaborations: PILab collaborates internationally on perceptual imaging standards. Active in ISO committees shaping future media technologies.

• Data Science
• Computer Vision
• Machine Learning
• +۹ مورد دیگر

Patrick Zhang is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland (UQ). His research focuses on applying advanced machine learning techniques to real-world challenges in domains such as medical imaging, environmental monitoring, and structural analysis. Key collaborators include Liangchen Liu, Kun Zhao, Arnold Wiliem, and Brian Lovell. His research interests revolve around data science , with a strong emphasis on computer vision and deep learning . Specific topics include: Wild animal detection and pose estimation Medical slide quality assessment and computational pathology Thermal-to-visible face recognition systems Multi-modal clustering for unsupervised learning Low-resolution image processing and boundary-guided translation Infrastructure corrosion assessment using neural networks Patrick Zhang has produced a steady stream of publications since 2018, demonstrating growth in applying deep learning to healthcare and engineering. His recent work (2022) addresses cell labelling challenges in medical diagnostics, while earlier contributions explored foundational GAN-based approaches and cross-modal recognition systems. The trajectory highlights both technical innovation and cross-domain application of AI. No scientific awards have been listed for Patrick Zhang in the provided information. His advising and grant details are not explicitly mentioned, though his collaborative projects suggest involvement in interdisciplinary research teams.

David James Heslopمشاهده پروفایل

دانشیار

• Public Health and Health Services
• Simulation and Modelling
• Environmental and Occupational Health and Safety
• +۱۴ مورد دیگر

Associate Professor David James Heslop is affiliated with UNSW Sydney , specifically the School of Population Health . He is a dual-qualified General Practitioner (FRACGP) and Occupational & Environmental Physician (FAFOEM) , with over 15 years of military service as Senior Medical Adviser for CBRNE to the Australian Army and ADF leadership. Education : PhD and MPH from University of Sydney, MBBS, BSc (Hons 1) His research focuses on health systems innovation using computational modeling and simulation to address complex challenges in epidemic response, disaster preparedness, CBRNE medicine, and organizational resilience . He employs hybrid modeling (agent-based, discrete event, system dynamics), artificial intelligence , and epidemiological methods to investigate public health interventions and socio-technical systems. Recent publications highlight his expertise in infectious disease modeling , CBRNE risk management , and AI applications in public health , with work spanning epidemic simulations , toxin exposure analysis , and emergency response frameworks . Grants include MRFF Frontiers Grant for EPIWATCH and NHMRC CRE funding for BREATHE and ISER projects. He supervises PhD candidates in public health, bioterrorism, and emergency medicine, while teaching PHCM9662 Health Aspects of Crises and PHCM9789 Bioterrorism and Health Intelligence at UNSW. His work intersects defence policy , climate-driven CBRNE proliferation , and urban emergency response systems .

• Orthopaedics
• Tissue Engineering
• Osteoarthritis
• +۴ مورد دیگر

Ross Crawford is a Professor of Orthopaedic Research at Queensland University of Technology and a Visiting Medical Officer at Prince Charles Hospital and Holy Spirit Northside. His work focuses on orthopaedic research , particularly in osteoarthritis , bone regeneration , and clinical orthopaedics . He has secured significant grants from organizations like Stryker , ARC , and NHMRC . Rhodes Scholarship Stryker Fellowship Research Trends : His recent publications highlight advancements in hypoxia-mimicking scaffolds , stem cell therapies , and biomechanical innovations for joint repair. Collaborations span biomedical engineering , clinical sciences , and materials research . Scientific Awards : Neville Davis Prize (Finalist) - 1995 Society of St. Andrews Travelling Scholarship - 1995 Allan Frederick Dwyer Prize - 1994 Supervision : He supervises research on topics like robotic bone tracking and antimicrobial biomaterials . His lab collaborates with institutions globally, including Oxford University and Prince Charles Hospital .

Selene Fernandez Valverdeمشاهده پروفایل

مدرس ارشد

• Non-coding RNA
• Genomics
• Bioinformatics
• +۵ مورد دیگر

Dr. Selene Fernandez Valverde is a Senior Lecturer at the School of Biotechnology and Biomolecular Sciences , UNSW Sydney. She is a genomic scientist and bioinformatician with a focus on long non-coding RNAs (lncRNAs) and their role in gene regulatory landscape evolution across eukaryotes. BSc in Genomic Sciences, National Autonomous University of Mexico (2007) PhD , University of Queensland (2013), studying small RNAs with Prof. John Mattick Her research explores the evolutionary dynamics of lncRNAs in plants and animals, using bioinformatic tools to predict functions. She investigates how lncRNAs contribute to food production, human disease, and gene regulation in crops and metazoans. The 15 most recent articles highlight her work on lncRNA evolution across species, genomic approaches to functional validation, and bioinformatics applications. Key themes include Arabidopsis thaliana lncRNAs, X-chromosome dosage compensation in reptiles, and comparative genomics of gene clusters. Gender Equality Award , International Union of Immunological Societies (2019) International Rising Talents Fellowship , L’Oréal-UNESCO (2018) L’Oréal-UNESCO-CONACYT Fellowship (2016) She has mentored 19 students and postdocs, including Irving Jair García (PhD) and Gabriel Martinez (MSc). Her grants include a Newton Advanced Fellowship (2018, £105,500) for studying lncRNA and chromatin structure in plants. Dr. Valverde leads the RegRNALab , which employs bioinformatic and genomic data to study gene regulatory mechanisms. She co-founded Mas Ciencia por Mexico and Mexican Network of Bioinformatics , and is part of the Homeward Bound climate leadership program (#TeamHB8).