جستجوی استاد راهنمای دانشگاهی

• 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.

• Computational Materials Science
• Digital Rock Physics
• Volume Rendering
• +۲ مورد دیگر

Lachlan Deakin serves as a Research Fellow in the Department of Materials Physics at the Australian National University's College of Science and Medicine. His research integrates computational techniques with materials science to address challenges in mineral characterization and environmental monitoring. His expertise spans Computational Materials Science , Digital Rock Physics , and Volume Rendering , with specialized focus on nanoscale imaging and computer graphics algorithms. Deakin develops innovative methods for 3D image analysis, including distance-map optimizations for ray casting and multiscale bridging techniques applicable to ore processing and coral reef studies. Analysis of his 2019-2025 publications reveals a trajectory from foundational work in volume rendering (Chebyshev distance maps, empty space skipping) toward applied geoscience solutions. Current research emphasizes micro-to-nano scale integration for metal ore characterization and particle separation using 3D X-ray tomography, demonstrating cross-disciplinary impact across materials engineering, computer science, and environmental science. No scientific awards were documented in the source material. While advising relationships and grant funding remain unspecified, Deakin maintains active collaboration with ANU researchers including Professor Mark Knackstedt, contributing to laboratories focused on digital rock analysis and advanced visualization techniques.

• Medical Imaging
• Computer Vision
• Biomedical AI
• +۲ مورد دیگر

Olivier Salvado is Professor of Artificial Intelligence at Queensland University of Technology, leading the AI for Health Research Network. His research develops next-generation AI technologies for medical imaging analysis, with applications in cortical surface reconstruction, diagnostic algorithm interpretability, and 3D wound modeling. Formerly Chief Research Scientist at CSIRO leading the $25M+ AI for Missions program, his work combines computer vision, deep learning, and biomedical engineering. Research domains include: Interpretable AI for medical diagnosis Neural volume rendering techniques 3D tissue reconstruction from images Biomechanical modeling of biological tissues He currently offers PhD positions in AI applications for health and serves as associate editor for the Journal of Medical Imaging.

Andrew Woodsمشاهده پروفایل

دانشیار

• Stereoscopic 3D Imaging
• Underwater Technology
• Remote Operated Vehicles (ROVs)
• +۵ مورد دیگر

Associate Professor Andrew Woods is a prominent academic and researcher in stereoscopic 3D imaging, underwater technology, and maritime archaeology at Curtin University. He holds roles as Manager of the Curtin HIVE (Hub for Immersive Visualisation and eResearch) and Research Fellow at the Centre for Marine Science & Technology (CMST). Previously, he served as Director of CMST (2002–2004) and co-chairs the annual Stereoscopic Displays and Applications (SD&A) conference. Woods earned a PhD in stereoscopic display technology, alongside MEng and BEng (Hons) degrees in Electronic Engineering. His research focuses on advancing 3D imaging systems, ROV technology, and applying these innovations to marine archaeology and oil/gas sectors. Notable projects include the Mini-3D underwater camera and photogrammetric surveys of shipwrecks like HMAS Sydney II. His work has been recognized with awards such as the 2023 Tall Poppy Award, Fellow of SPIE, and 2017 'Australia’s Most Innovative Engineers' designation. Over 30+ students have been supervised in areas ranging from VR simulation to underwater robotics. Key contributions include publications on crosstalk reduction in 3D displays, VR applications in heritage preservation, and 3D reconstruction of historical sites. Woods actively engages with industry through technical products like stereoscopic cameras and standards development, while media highlights include features in Create Magazine and ABC News. His labs (Curtin HIVE and CMST) drive interdisciplinary projects blending engineering, archaeology, and computer science.

Manolya Kavakli-Thorneمشاهده پروفایل

دانشیار

• Virtual Reality
• Human-Computer Interaction
• Augmented Reality
• +۴ مورد دیگر

Dr. Manolya Kavakli-Thorne serves as Associate Professor and Honorary Professor at Macquarie University's School of Computing, specializing in advanced human-computer interaction systems. Her research bridges virtual reality, augmented reality, and gaming technologies with practical applications across diverse domains including healthcare, film production, and transportation safety. Her primary research interests focus on: Virtual reality systems design and implementation Human-computer interaction paradigms Augmented reality applications in real-world contexts Computer game mechanics and serious gaming Gesture recognition systems for 3D modeling Generative adversarial networks for image synthesis Analysis of her recent publications reveals a strong trajectory toward practical implementations of immersive technologies. Her work demonstrates increasing focus on real-world applications of virtual production systems in filmmaking, gamification for behavioral change, and medical applications of VR/AR technologies. The interdisciplinary nature of her research connects computer science with psychology, engineering, and creative industries. Dr. Kavakli-Thorne has secured significant research funding through 15 projects including the Centre for Elite Performance Expertise and Training (CEPET), Virtual-Reality intervention platforms for Cerebral Palsy patients, and Mobile Augmented Reality Systems (MARS) Design. Her collaborative approach is evident in projects spanning lifeguard performance enhancement and virtual reality dome systems development. Her laboratory work centers around immersive simulation environments, virtual production studios, and mobile augmented reality systems. Current research directions include refining generative AI applications in medical imaging, developing more intuitive multi-modal interfaces for 3D modeling, and expanding the use of serious games for safety-critical training scenarios.