جست‌وجوی استاد و پژوهشگر

Jia Liuمشاهده پروفایل

پژوهشگر ارشد

• Bayesian statistics
• Spatial data analysis
• Image analysis
• +۳ مورد دیگر

Dr. Jia Liu serves as a Research Fellow at the Australian National University's Research School of Biology (Division of Ecology and Evolution) and concurrently holds a Technical Officer position in the Research School of Earth Sciences. Holding a PhD in Statistics, Dr. Liu conducts interdisciplinary research spanning statistical methodology, earth sciences, and computer vision applications. Education: PhD in Statistics Research focuses on Bayesian statistics, spatial data analysis, image analysis, geostatistics, and experimental design. Dr. Liu applies these methods to paleomagnetism, atmospheric science, and computer vision, with recent emphasis on uncertainty quantification and deep learning architectures for complex data analysis. Publication trends reveal dual trajectories: earth sciences applications (2020-2022) featuring directional statistics for paleomagnetic data and cloud physics modeling, alongside computer vision advancements (2021-2025) in 3D reconstruction, object detection, and segmentation. Core methodological contributions include novel approaches for spatiotemporal survey design and aleatoric uncertainty modeling. Awards: No major scientific awards documented Student advising activities and research grant funding details are not publicly available. The researcher maintains affiliations across multiple ANU schools but specific laboratory or team memberships were not specified in source materials.

• Urban Climatology
• Environmental Geosciences
• Remote Sensing
• +۴ مورد دیگر

Dr. Carlos Bartesaghi Koc is a Senior Lecturer at the University of Adelaide's School of Architecture and Civil Engineering, within the Department of Architecture and Landscape Architecture. His research focuses on urban climatology, environmental geosciences, and the application of computational technologies like AI and IoT in design. He holds a PhD in Planning and Urban Development from UNSW (2018), recognized with the Dean's Award for Outstanding PhD Theses (2019). Prior to his current role, he held positions at UNSW as a sessional lecturer and at Deakin University as a lecturer in Architecture. His work bridges academia, policy, and industry, influencing urban planning decisions through remote sensing and predictive modeling. He is eligible to co-supervise Masters and PhD students. Research Interests: Urban microclimate analysis using remote sensing and spatial data science Climate-sensitive design supported by AI and IoT Green infrastructure typologies and their thermal impacts Policy-driven urban heat mitigation strategies Impact & Engagement: His research has been integrated into national and international policy documents, toolkits, and industry reports. He actively collaborates with governments and organizations to improve urban planning decisions. His outputs include a public profile with links to his academic website, YouTube channel, and Sketchfab site. Grants & Supervision: Eligible to supervise in Architecture and Environmental Design Focus on Masters/PhD co-supervision

• Geographic Information Systems (GIS)
• Remote Sensing
• Spatial Science
• +۴ مورد دیگر

Dr. Xiaoye Liu is a Senior Lecturer in the School of Surveying and Built Environment at the University of Southern Queensland, specializing in Surveying and Spatial Science. Their research focuses on spatial data quality, remote sensing applications, and geospatial technologies for environmental and disaster management. Dr. Liu holds a PhD from Monash University, preceded by a MAppIT from Monash, and degrees from Wuhan University. Education: Bachelor of Engineering (BEng), Wuhan University Master of Engineering (MEng), Wuhan University Master of Applied Information Technology (MAppIT), Monash University Doctor of Philosophy (PhD), Monash University Research interests include LiDAR data analysis, crowdsourced data credibility assessment, and spatial modeling for environmental conservation and disaster response. Dr. Liu’s work bridges GIS applications with ecological monitoring, particularly in rainforest ecosystems and wildlife habitat studies. Research Trends in Publications: Recent work emphasizes crowdsourced data quality (VGI/CSD), LiDAR-derived environmental modeling, and machine learning applications in spatial science. Key themes include geospatial data fusion, disaster management automation via SDI, and biodiversity tracking through spatial analytics. Advising and grants information is not explicitly detailed in the provided data. Dr. Liu’s contributions include collaborations on projects such as bilby habitat modeling and Hendra disease spatial epidemiology.

Mehmet Orgunمشاهده پروفایل

استاد

• Artificial Intelligence
• Biomedical Image Processing
• Knowledge Discovery
• +۳ مورد دیگر

Mehmet Orgun is a Professor at the School of Computing, Macquarie University. He holds a BSc and MSc from Hacettepe University (Turkey) and a PhD from the University of Victoria (Canada). His research spans artificial intelligence, biomedical image processing, multi-agent systems, and secure systems. He has supervised over 30 PhD and master's students and led multiple ARC-funded projects totaling over $4M. His professional service includes roles at PRICAI 2010 and SIN 2019. Research Interests: Artificial Intelligence Quantum Cryptography Trusted Systems Medical Imaging Recommender Systems Awards: Best Student Runner Up Award (ADMA'23) Best Paper Award (MoMM2020) Best Student Paper Award (ICWS2016) Advising & Grants: 30+ PhD/Master's students ARC grants exceeding $4M Labs/Teams: Collaborations include Australian Taxation Office and DSTO. Projects focus on trust-oriented data analytics and secure systems.

• Big Data Analytics
• Sentiment Analysis
• Data Management
• +۳ مورد دیگر

Bela Stantic is a Professor at Griffith University's School of Information and Communication Technology, where he founded and directs the Big Data and Smart Analytics Lab . With a PhD from Griffith University, his academic appointments include Head of School (2015-2019) and Deputy Head of School (2013-2015). He remains an active member of the Institute for Integrated and Intelligent Systems since 2005. Research Focus: Professor Stantic specializes in Big Data Analytics, particularly in social media sentiment analysis and complex data management. His interdisciplinary work spans tourism analytics, environmental monitoring, cryptocurrency forecasting, and AI ethics. Key applications include disaster response systems, aquaculture optimization, and sustainable infrastructure. Publication Trends: Recent articles (2023-2025) demonstrate strong emphasis on AI-driven solutions: 40% focus on time-series forecasting and cryptocurrency prediction, 30% on computer vision/LiDAR applications, and 30% on social media analytics for tourism and public policy. Machine learning integration across environmental and financial domains is a consistent theme. Grants & Projects: Secured 24 funded projects totaling ~$1.8M AUD, including: Automated seagrass monitoring ($403K, 2023-2025) NSW flood impact analysis via social media (2022) Offshore aquaculture welfare systems ($466K, 2022-2026) COVID-19 pandemic behavior tracking (2020) Student Advising: Supervised 15+ doctoral students to completion in areas like 3D data extraction, social media mobility tracking, and stream-processing engines. Currently mentoring PhD candidates on multimodal sentiment analysis and real-time recommendation systems.

• Signal processing
• Audio processing
• Spatial audio
• +۷ مورد دیگر

Professor Christian Ritz serves as Director of SMART and Professor in the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong. He has held his professorship since 2017 and served as Associate Dean (Research) in 2022 and Associate Dean (International) from 2016-2021. Professor Ritz's research focuses on signal processing for speech, audio, acoustics and visual information. His current projects include microphone array signal processing for enhancing sound recorded in classrooms, sound scene classification for dementia care environments, spatial audio for Virtual and Augmented Reality, and undersea surveillance. His work spans multiple technical domains including signal processing, audio engineering, computer vision, and communications engineering. His recent publication trends show a strong focus on neural network applications for audio processing, particularly for classroom monitoring and spatial audio reproduction. His work integrates deep learning with traditional signal processing techniques to address challenges in spatial audio synthesis, room impulse response generation, and directional audio reproduction. He has also contributed to applications in mining automation, public safety surveillance, and positioning systems. Professor Ritz is a member of the Centre for Signal and Information Processing (CSIP), part of the Signals, Information and Communications Research Institute (SICOM) at the University of Wollongong. His research is funded by the ARC, overseas research institutes, and defense organizations. His grant portfolio is extensive, including projects such as AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods, Multi-Modal Satellite-based Vessel Surveillance, Net Zero Industry and Innovation Program, Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane, and numerous projects related to spatial audio and underwater surveillance. He has secured funding from diverse sources including the Australian Research Council, defense organizations, and international collaborations. Professor Ritz maintains an active research laboratory environment focused on signal and information processing. His work spans multiple application domains from classroom monitoring to underwater mine detection, with strong connections to both academic and industry partners. His research group appears to focus on practical applications of signal processing techniques to solve real-world problems across various domains.

Georgios Angelisمشاهده پروفایل

پژوهشگر ارشد

• Medical Imaging
• Biomedical Engineering
• PET/SPECT Image Reconstruction
• +۳ مورد دیگر

Dr Georgios Angelis is a National Imaging Facility Fellow at the University of Sydney, specializing in PET/SPECT image reconstruction and pharmacokinetic modeling. His research focuses on developing advanced imaging techniques for neuroscience and oncology applications, including motion correction algorithms, parametric image analysis, and deep learning approaches. He holds a PhD in Biomedical Engineering from the University of Manchester and has held postdoctoral roles at the University of Sydney's Brain and Mind Centre and the Northern Sydney Cancer Centre. His work bridges imaging physics and clinical practice, with contributions to open-field PET systems and tumor tracking for radiotherapy. Key research areas include: medical imaging algorithms, neurochemical PET analysis, machine learning in imaging, and translational imaging tools for freely moving subjects. Recent work emphasizes integration of MRI and PET data for improved spatial-temporal resolution, and development of Bayesian methods for neurotransmitter quantification. His projects frequently involve collaborations in oncology and neuroscience, with applications to both preclinical and clinical settings.

• Marine Biology
• Coral Reef Ecology
• Physiological Ecology
• +۴ مورد دیگر

Professor Mia Hoogenboom is a marine ecologist at James Cook University, specializing in the physiological and ecological processes influencing coral reef organisms. Her research focuses on how environmental conditions affect individual organism performance, population dynamics, and ecosystem resilience, particularly under climate change pressures. Key themes include coral energy budgets, symbiosis dynamics, microplastic impacts, and reef restoration strategies. Her work integrates field studies, experimental manipulations, and computational modeling to address three core areas: environmental controls on individual fitness, adaptive significance of phenotypic plasticity, and coral metabolism/photosynthesis. Recent projects highlight the role of light/water flow in coral health, behavioral plasticity in fish offspring, and the mitigation of coral bleaching through habitat complexity and restoration tools. Publications emphasize coral reef degradation mechanisms, including studies on microplastic toxicity, ocean acidification, and global bleaching events. Her research contributes to conservation strategies, such as optimizing coral-seeding technologies and prioritizing resilient species for restoration. As a mentor, Professor Hoogenboom supervises doctoral students exploring topics like AI-driven coral reef monitoring, coral demography under environmental gradients, and engineering solutions for reef restoration. Despite no listed awards, her extensive peer-reviewed output reflects significant contributions to marine science.

• Surveying
• LiDAR Technology
• Cadastral Systems
• +۴ مورد دیگر

Glenn Campbell is an Associate Professor (Surveying) at the University of Southern Queensland's School of Surveying and Built Environment. His research spans spatial data law, LiDAR applications, cadastral systems, and remote sensing of water resources. Campbell employs advanced techniques including machine learning for topographic feature extraction and matrix inversion methods for water quality assessment. Research Focus: Geospatial law and indigenous land boundaries LiDAR processing for urban feature extraction Water quality remote sensing techniques Cadastral system modernization His publications demonstrate consistent focus on measurement accuracy, spatial data governance, and advanced geospatial analysis techniques. Recent work shows increasing emphasis on digital copyright issues in spatial data and machine learning applications for LiDAR processing. Awards & Recognition: No major scientific awards reported. Student Advising: No advisee information available.

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.

Zahra Gharineiatمشاهده پروفایل

دانشیار

• UAV Applications
• LiDAR and Feature Extraction
• Digital Twins
• +۵ مورد دیگر

Associate Professor Zahra Gharineiat is a faculty member at the University of Southern Queensland's School of Surveying and Built Environment, specializing in Surveying and Positioning. She holds a PhD in Surveying and has over a decade of experience in academia and industry. Zahra serves as Associate Head of School (Research) and leads research in UAV applications, LiDAR, AI-enabled monitoring, and spatial data analytics. She has secured over $6 million in research funding and founded the nationally recognized 'Drones for STEM' initiative promoting STEM education through drone learning. Education: Bachelor of Surveying (BSurv) from Tabriz University Master of Engineering Management (MEngMgt) from University of Melbourne PhD in Surveying from University of Newcastle Research Interests: Unmanned Aerial Vehicles (UAVs) and Remote Sensing LIDAR and Feature Extraction Digital Twins and Spatial Data Analysis Machine Learning Applications in Geospatial Data Coastal Monitoring and Sea Level Analysis Satellite Altimetry and Geodesy Her work bridges geomatic engineering with environmental and civil applications, emphasizing innovation in surveying technologies. Awards & Recognition: Multiple awards for research, teaching, and innovation (specific names unspecified) Active member of international geospatial organizations including the International Federation of Surveyors (FIG) and IEEE Geoscience Society Grants & Collaboration: Secured over $6M in research funding Key roles in interdisciplinary projects with the Centre for Future Materials and Institute for Advanced Engineering and Space Sciences Labs & Initiatives: Founder of the 'Drones for STEM' education program Lead researcher in UAV-based monitoring and LiDAR applications

Iain Parnumمشاهده پروفایل

پژوهشگر ارشد

• Marine Acoustics
• Seafloor Mapping
• Acoustic Remote Sensing
• +۵ مورد دیگر

Dr. Iain Parnum is an Adjunct Research Fellow at Curtin University’s School of Earth and Planetary Sciences, within the Faculty of Science and Engineering. His primary research focuses on acoustic remote sensing of marine environments, including seafloor mapping, water column analysis, and marine mammal detection. He is actively involved in developing acoustic technologies for habitat characterization and has contributed to projects like the AUSSEABED national seabed mapping initiative. Research Interests: Seafloor mapping using multibeam, sidescan, and single-beam sonar systems Acoustic data processing and software development Marine mammal monitoring via passive and active acoustic techniques Seagrass and sediment property analysis through acoustic backscatter Underwater photogrammetry and novel imaging device workflows Publications Trends: His recent work emphasizes fish chorus acoustics, beaked whale presence detection, and the integration of acoustic methods with environmental variables. Key contributions include advancing underwater noise monitoring tools and improving seabed classification techniques. Affiliations: Chair of the WA Division of the Australian Acoustical Society; Federal Councillor of the Australian Acoustical Society. Technical Contributions: Developed open-source data-logging devices and calibration frameworks for marine surveys. Collaborated on projects like the Perth Canyon soundscape analysis and coral reef evolution studies in the Kimberley region.

David I Wartonمشاهده پروفایل

استاد

• Statistical Ecology
• Ecological Statistics
• Applied Statistics
• +۱۱ مورد دیگر

Professor David I Warton is a leading ecological statistician at the School of Mathematics and Statistics , University of New South Wales (UNSW). He leads the Eco-Stats research group , which has secured over $9M in Australian Research Council (ARC) funding and focuses on developing model-based statistical methodologies to address ecological questions. Education: PhD in Ecological Statistics (Macquarie, 2003), MA in Mathematical Statistics (Sydney, 1999), BSc (Hons) in Ecology and Pure Mathematics (Sydney, 1997) His research spans allometry , multivariate abundance analysis , species distribution modelling , and error-in-variables regression , with applications ranging from biodiversity conservation to medical studies. His recent publications emphasize AI-driven ecological data analysis , phylogenetic GLMMs , and efficient algorithm development . Scientific Awards: ARC College of Experts (2025-27), Highly Cited Researcher (2019-22), Fellow of the Royal Society of NSW (2020), Christopher Heyde Medal (2014) He supervises PhD students working on machine learning for fish classification, spatio-temporal species distribution models, and latent variable approaches in ecology. As academic lead of Stats Central , he promotes statistical collaboration across disciplines, and serves as Associate Editor for leading journals.

• Remote Sensing
• Earth Observation
• Radar Interferometry
• +۷ مورد دیگر

Professor Linlin Ge is a distinguished academic specializing in remote sensing and earth observation at the University of New South Wales (UNSW), Sydney, Australia. He holds a position in the School of Civil and Environmental Engineering and has been studying earth observation techniques since 1985. His work has significant applications in natural disaster monitoring, land subsidence measurement, and integrating radar and optical remote sensing with GPS and GIS systems. Professor Ge's educational background includes a PhD in GPS and remote sensing from UNSW, an MSc in Crustal Deformation from the Institute of Seismology, and a BEng (1st Hons and University Medal) in Optical Engineering from the Wuhan Technical University of Surveying and Mapping. He was also a postdoctoral research fellow in the Meteorological Research Institute of the Japan Meteorological Agency sponsored by the Science and Technology Agency of Japan during 1997-1998. His research interests focus on using digital images to map the Earth's surface, combining remote sensing with GPS and GIS to produce cost-effective and reliable maps, and integrating radar and optical remote sensing with GPS and GIS to measure subtle surface changes with minimal latency. Professor Ge's work aims to make remote sensing more timely, accurate, affordable, and widely applicable across various disciplines. His recent publications demonstrate a strong focus on advanced remote sensing techniques, particularly in the areas of hyperspectral image classification, landslide monitoring, earthquake damage assessment, and land subsidence analysis. His research increasingly incorporates deep learning and AI approaches while maintaining strong applications in natural disaster monitoring and management. Major Awards: JK Barrie Award for Overall Excellence (2008 Asia-Pacific Spatial Excellence Awards) NSW Scientist of the Year 2009 (Physics, Earth Sciences, Chemistry and Astronomy) UNSW Inventor of the Year finalist (2010) Australian Research Council Postdoctoral Fellowship (2002-2004) Professor Ge has supervised 25 graduated students and currently has 5 students in his lab. His research is supported by multiple grants including ARC Discovery grants, Australian Space Research Program funding, and various government and industry partnerships focused on SAR formation flying, subsidence monitoring, flood mapping, and carbon capture safeguarding. His work with satellite missions such as Envisat, ALOS, COSMO-SkyMed, Radarsat-2 and ALOS-2 demonstrates his leadership in practical applications of remote sensing technology.

Umer Izharمشاهده پروفایل

مدرس ارشد

• MEMS Sensors and Actuators
• Robotics and Automation
• Mechatronics Engineering
• +۳ مورد دیگر

Dr. Umer Izhar is a Senior Lecturer in Mechatronics Engineering at the University of the Sunshine Coast (UniSC), Queensland, Australia. He holds a Ph.D. in Electrical Engineering from Lehigh University (USA) on a Fulbright Scholarship. Previously, he worked as an Assistant Professor at NUST, Pakistan, and contributed to developing the Mechatronics curriculum at Central Queensland University (CQU). His research focuses on MEMS sensors/actuators, robotics, and automation, with applications in environmental monitoring, medical imaging, and assistive technologies. Dr. Izhar teaches courses like Engineering Statics and IoT, and coordinates the Bachelor of Engineering (Mechatronic) (Honours) program. His work includes patents in powerline communication and IoT-based compliance systems. Education: Ph.D. (ElecCompEng, Lehigh University), MSc (ElecCompEng, LU), MSc (MechatronicsEng, UET Pakistan), BE (MechatronicsEng, NUST, Pakistan). Research Interests: Design/fabrication of MEMS-based sensors, robotics automation, micro mechatronics, and brain temperature monitoring sensors. He has published widely in journals and conferences, with notable works on robotic systems for environmental monitoring and electrothermally actuated MEMS braille dots. Awards: Recipient of the Fulbright Scholarship Award. His research has led to patents like the 'Powerline Communication Impedance Conditioning Circuit' and IoT solutions for pandemic compliance. Advising & Grants: Coordinates the Mechatronics Honours program and oversees research projects in MEMS and robotics. Collaborates on grants focused on embedded systems education and renewable energy integration. Labs/Teams: Engages in multidisciplinary projects at the School of Science, Technology and Engineering, focusing on applications in healthcare, environmental monitoring, and assistive technologies.