Dr. Mostafa Kamalpour is a researcher at the Faculty of Engineering, School of Civil & Environmental Engineering, Queensland University of Technology (QUT). His work focuses on digital health, data mining, and online community dynamics, particularly examining resilience factors in older adults and value co-creation in digital spaces. He holds a Doctor of Philosophy from QUT. Research Interests Digital Health Data Quality Online Community Resilience Value Co-Creation in Digital Platforms Tourism Analytics through Data Mining Publication Trends His research spans digital health systems (2020-2023), elderly care technology (2020-2022), tourism data analysis (2013-2014), and financial technology applications (2017). Recent work emphasizes systematic reviews of health data quality and longitudinal studies on community-based resilience. Contact Email: m.kamalpour@qut.edu.au
Shenjun Zhong is a Research Fellow at Monash Biomedical Imaging , Monash University. His research focuses on advancing medical imaging technologies through deep learning and artificial intelligence, particularly in enhancing low-field MRI image quality via image-to-image translation and synthetic image generation. He is a Chief Investigator in the National Mobile Magnetic Resonance Imaging Network project, collaborating with institutions like the University of Queensland and Hyperfine Inc. His work addresses challenges in clinical MRI applications, including CSF volume measurement accuracy and radiological image quality assessment. Key research interests include medical imaging , deep learning , multimodal learning , and biomedical engineering . Recent studies explore AI-driven solutions for consistency in brain volume measurements and parameter-efficient fine-tuning of large language models for medical tasks. Notable contributions include peer-reviewed articles on synthetic MRI image generators, cross-modal pre-training for visual question answering, and latent representations of white matter streamlines. His findings aim to improve accessibility and accuracy of portable MRI systems in clinical settings.
Dr. Kithsiri Perera serves as a Lecturer in Surveying and Spatial Science at the School of Surveying and Built Environment, University of Southern Queensland (UniSQ), based at the Springfield Campus. Contact details include phone +61 7 3470 4197 (extension 4197) and email Kithsiri.Perera@unisq.edu.au. His academic credentials include: Master of Engineering (MEng) from Chiba Doctor of Philosophy (PhD) from Chiba Research focuses on geospatial analysis for environmental applications, specializing in satellite image processing for land cover classification, standardization of catchment mapping schemes, and aerial photo interpretation. He develops spatial visualization techniques for media communication of natural disasters and environmental issues, bridging GIS with public communication needs. Dr. Perera teaches five core courses: GIS4407 (Web-Based GIS), GIS1401 (Geographic Data Presentation), GIS1402 (Geographic Information Systems), GIS2901 (GIS Practice 1), and GIS3406 (Remote Sensing & Image Processing), accumulating 4 years of tertiary teaching experience. His supervision spans Geomatic Engineering, Information Systems, and Physical Geography/Environmental Geoscience domains, though no specific advisees or grants are documented in the source material.
Professor Neil Coffee is a Geographer and Professor at Deakin University, where he leads the Centre for Australian research into Access (CARA). With over 35 years of experience, he pioneered the application of Geographic Information Systems (GIS) to social and health research in Australia through initiatives including the National Key Centre for Social Applications of GIS (University of Adelaide, 1995-2000), the South Australian Epidemiological GIS (SAEGIS), and the Australian Geospatial Health Lab (AGeoH-L). Coffee's research integrates spatial techniques with public health and urban studies, focusing on developing environmental exposure metrics like walkability indices and accessibility measures. His work bridges geography, epidemiology, and urban planning through novel applications including Cardiac ARIA and real-time surveillance systems that merge administrative data with physical/social environmental risk assessments. His publication trajectory reveals consistent innovation in spatial analytics, evolving from foundational walkability frameworks (2007) to sophisticated analyses of property value determinants (2020) and longitudinal population density visualization (2016). This progression demonstrates increasing methodological complexity in examining urban-spatial relationships while maintaining core focus on environmental health determinants. Coffee established key research infrastructure including SAEGIS, AGeoH-L at the University of Canberra, and currently directs CARA at Deakin University, creating integrated platforms for geospatial health research that combine government administrative data with environmental exposure modeling.
Dr Jane Brennan is an Adjunct Fellow at the School of Civil and Environmental Engineering , University of Technology Sydney (UTS). She holds a PhD in Computer Science and Engineering (Artificial Intelligence/Information Systems) from the University of New South Wales (2009) and has over two decades of experience in Environmental Information Systems and Geographic Information Systems (GIS) . Her academic journey began with a Bachelor’s degree in Computer Science (with a sub-major in Business Administration) from the University of Technology Chemnitz-Zwickau (1995), including a year at the University of Kent and research at the University of Hamburg. She worked at CCH Australia Ltd (1995–1997) before joining UNSW (1997–2003) and UTS (2004–present). Research Interests : Focus on spatial analysis of natural/human phenomena like water runoff and land use , with applications to soil erosion hazards , climate change adaptation , and man-land relationships via information systems. Teaching : Taught Information Systems at UTS (e.g., GIS, Environmental Engineering) and Computer Science at UNSW (Programming, AI). The 15 most recent publications span soil erosion mapping , climate change impacts on agriculture , and GIS for sustainable land management , with notable work on spatiotemporal analysis and geo-informatics frameworks . Grants : Includes funding for visualizing environmental data (2018), sustainable construction materials (2013–2014), and climate adaptation strategies (2011–2012). She currently does not supervise new students.
Jonathan Corcoran is a Professor in the School of the Environment and Deputy Associate Dean (Research) in the Faculty of Science at the University of Queensland. He joined UQ in 2005 after roles at the University of Glamorgan (UK) and Ordnance Survey. His research focuses on human mobility, urban systems, regional economic growth, spatial analytics, and crime prevention. He holds a PhD in human geography and computer science, exploring mobility-land-use-crime relationships. Affiliations: Queensland Centre for Population Research, Faculty of Science, School of the Environment Education: PhD in Human Geography & Computer Science (University of Glamorgan), MSc in Geographic Information Science, BSc in Geography Research Interests: Human mobility and social sustainability, human capital migration, big data/spatial analytics, urban design, and crime-environment interactions. His work integrates quantitative methods (GIS, statistical modeling) to inform policy on transportation, urban planning, and safety. Grants & Funding: Over 20 projects since 2006, including ARC grants on crime prevention, urban modeling, and migration studies. Current funding includes the National Cycling Data Platform and research on short-term rentals. Labs/Teams: Collaborates with interdisciplinary teams on urban analytics, transport demand modeling, and spatial criminology. Leads projects on climate resilience, micromobility, and migration dynamics.
Dr. Petra Helmholz is an Associate Professor in the School of Earth and Planetary Sciences at Curtin University, specializing in Photogrammetry and Remote Sensing. She holds a German Dipl.-Ing. (M.Sc.) and Dr.-Ing. (Ph.D.) in Geomatics. Her research focuses on underwater, terrestrial, and airborne photogrammetry, with applications in health, agriculture, heritage mapping, and engineering. She has received multiple awards, including the Asia Pacific Excellent Award in Education (2018) and WA Spatial Awards. She serves as National Chair of the Remote Sensing & Photogrammetry Commission (SSSI) and is an Associated Editor of the journal PE&RS. Helmholz leads the Bachelor of Surveying program at Curtin and holds licenses in remote piloting and surveying. Her work bridges geospatial technologies with interdisciplinary fields like medicine and environmental science. Education: 2006–2012: Ph.D. in Photogrammetry, Leibniz University Hannover 2003–2005: Certified Licensed Surveyor, Germany 1997–2003: B.Sc./M.Sc. in Surveying, TU Berlin Research Interests: Underwater and airborne photogrammetry, 3D reconstruction for medical and heritage applications, thermal simulation of urban environments, and geospatial data analysis. Her projects include facial analysis for rare disease diagnosis, coral growth estimation, and pipeline monitoring. Publications highlight innovations in underwater imaging techniques, urban heat island studies, and medical 3D modeling. She actively contributes to international bodies like ISPRS and ASPRS, co-chairing working groups on geospatial data standards and applications.
Susannah Soon is an Associate Professor at Curtin University's School of Electrical Engineering, Computing, and Mathematical Sciences. She holds roles in the Faculty of Science and Engineering and serves as Academic Lead for the Office of the Provost. Her positions include Unit Coordinator for Masters of Computing Project Units and New Product Development. She has held leadership roles such as Academic Lead at Curtin-Cisco Innovation Central Perth and manager of the Curtin-Optus 5G Lab. Education: PhD in Artificial Intelligence (University of Melbourne), B.Eng (Hons) in Engineering (UWA). Research Interests : Focus on demand-driven AI applications in health, social impact, defence, and sustainability. Current projects include the Healthy Connections telehealth initiative for remote communities using AI and satellite tech, VR digital twins for energy efficiency, and endangered language preservation via machine translation. Her work emphasizes human-centered design and industry collaboration. Grants & Projects : Recent funding includes $1.5M for the SoundSmiles mental health project, $200K for The Challenge: Reimagining Regional Healthcare, and $50K for generative AI in ultrasound imaging. Projects often involve partnerships with Ear Science Institute Australia, Optus, and WA Health. Awards : 2024 WAITTA Social Impact Award, AIIA iAwards Finalist, 2022 Teaching Citation Teaching : Specializes in HCI, digital product development, and entrepreneurship. Supervises Masters/PhD projects in AI systems. Her ICTE3002 unit combines design thinking with digital health app development, resulting in student innovations like the Curtin Ignition Scholarship-winning apps. Labs & Teams : Leads Healthy Connections (telehealth medikit), Innovation Central Perth (industry internships), and the Legacy Living Lab VR project. Collaborates with Defence Science Technology Group on human visual systems in VR.
Dr Chen Yang is an Honorary Senior Fellow in the School of Architecture, Design and Planning at The University of Queensland. His research focuses on digital documentation of cultural heritage sites, rural landscape analysis, and the application of advanced geospatial technologies such as LiDAR and point cloud visualization. He explores topics like UNESCO World Heritage management, authenticity of historic landscapes, and the integration of emotional and spatial dimensions in heritage preservation. Dr Yang's work combines technical innovation with theoretical inquiry, addressing challenges in preserving traditional villages, classical gardens, and intangible cultural heritage through interdisciplinary methodologies. His projects often involve collaboration with international institutions and utilize UAV-based remote sensing, 3D modeling, and social network analysis to capture spatial patterns and cultural narratives. Publications include studies on the impact of sustainable tourism on rural landscapes, digital characterization of classical garden rockery, and the dialectical authenticity of Chinese historic landscapes. He has contributed to journals like Landscape Research , Heritage Science , and Built Heritage , and presents at conferences such as the International Archives of the Photogrammetry.
Dr. Changbeom Shim is a Research Fellow at Curtin University, affiliated with the School of Electrical Engineering, Computing and Mathematical Sciences under the Faculty of Science and Engineering. His role involves advancing research in multi-object tracking, signal processing, and data analysis. He holds an email address at Curtin University and maintains an active Google Scholar profile and personal website. Shim's research focuses on developing advanced algorithms for multi-object tracking using labeled random finite sets (LRFS), with applications in computer vision, bioinformatics, and geospatial systems. Key areas include trajectory estimation, sensor fusion, and scalable computational methods. His work bridges theoretical frameworks with practical tools like CellTrackVis for biological data visualization and SkyFlow for time-series analysis. His publications from 2017 to 2025 reflect a progression from foundational spatial queries in social networks to cutting-edge multi-sensor object tracking and autonomous systems. The 2024 paper on LRFS overviews highlights his leadership in this field. His research emphasizes efficiency, scalability, and cross-disciplinary applications, with contributions to both algorithmic theory and user-facing tools. Shim collaborates across disciplines, addressing challenges in sensor networks, autonomous robotics, and biological cell tracking. His work often integrates statistical methods with computational techniques, yielding innovations in filtering, visualization, and data exploration. Current trends in his publications emphasize multi-scan/multi-sensor systems and real-world applications like geotechnical property estimation and audio-visual source separation.
Dr. Tim Barrows is an ARC Principal Research Fellow at the University of Wollongong's School of Earth, Atmospheric and Life Sciences (SEALS), with a joint appointment as Professor of Environmental Change at the University of Portsmouth. His career includes roles as an Australian Research Council Postdoctoral Fellow, Senior Lecturer at the University of Exeter (2009–2018), and recipient of the 2017 ARC Future Fellowship. He holds a PhD from the Australian National University (2000) and has conducted postdoctoral research at the University of Colorado and ANU. Research Interests: 1. Geochronology (cosmogenic nuclides, luminescence dating) 2. Glacial and periglacial geomorphology 3. Photogrammetry and 3D landscape modeling 4. Paleoceanography via foraminifera analysis 5. Data archaeology and big data visualization. Awards: - Robert Hill Memorial Prize (2000) - ARC Future Fellowship (2017) - Leadership roles in Natural Environment Research Council (NERC). Supervision: Advises on glacial reconstruction projects in Tasmania, France, and Scotland, with funding for cosmogenic dating. Active in PhD supervision on tidewater glacier dynamics and climate modeling. Labs/Teams: Lead the 4D Landscapes collaboration network, focusing on integrating geospatial and temporal data to study environmental change.
Professor Son Lam Phung is a faculty member at the University of Wollongong (UOW), holding the position of Professor in the School of Electrical, Computer and Telecommunications Engineering (SECTE) since 2022. He earned his B.Eng. (First-Class Honours) and Ph.D. in Computer Engineering from Edith Cowan University, Australia, where he was awarded the University Medal for academic excellence in 2000. His research focuses on image and signal processing, machine learning, and artificial intelligence, with applications in defense, healthcare, and autonomous systems. He has secured over 22 external grants from organizations such as the Australian Research Council (ARC), Qatar National Research Fund, and the Department of Foreign Affairs and Trade. Research Interests: Image and video processing Pattern recognition Machine learning and deep learning Assistive navigation systems for vision-impaired individuals Radar and sonar imaging for defense and environmental monitoring Grants & Projects: ARC Discovery Projects: 'Assistive Micro-navigation for Vision Impaired People' and 'Dynamic Visual Scene Gist Recognition' Qatar National Research Fund: 'Big Crowd Data Analytics' Defence Science and Technology Group: 'New Deep Networks for Iris-based Post-Mortem Identification' Awards & Recognition: Recipient of multiple best paper awards at IEEE conferences (ICASSP-2016, DICTA-2014) Highly Commended Supervisor Award (2012 Canon Extreme Imaging Competition) UOW Outstanding Contribution to Teaching Award (2010) Editorial Roles: Associate Editor, IEEE Access (IF: 3.4) Section Editor, Sensors Journal (Sensing and Imaging Section) Teaching & Supervision: Supervised 30 HDR students (20 PhD, 10 MPhil) to completion Teaching awards include the OCTAL Early Career Award (2010) Subjects include Digital Signal Processing, Embedded Systems, and Image Processing Labs & Teams: He leads the Centre for Signal and Information Processing (CSIP), focusing on algorithm development for defense, healthcare, and autonomous systems. His lab collaborates on projects involving AI-driven solutions for agriculture, environmental monitoring, and medical imaging.
Dr. Jasmine Jaffres is an Adjunct Professor at James Cook University and a full-time Principal Environmental Data Analyst at C&R Consulting in Townsville. She specializes in hydroclimatology , with a focus on extreme weather events (tropical cyclones, floods, bushfires) and catchment-scale environmental processes . Collaborations with CSIRO , Bureau of Meteorology , and universities like University of Tasmania Expertise in big data management , MATLAB programming , non-parametric statistics , and geospatial visualization (QGIS, ArcGIS) Co-supervised PhD research at Central Queensland University and informally mentored candidates at James Cook University Her recent publications address hazard quantification , climate data infrastructure , and environmental disease associations , reflecting a multidisciplinary approach to natural hazard mitigation and climate resilience .
Associate Professor Adriana Dutkiewicz is a Senior Lecturer and ARC Future Fellow at the School of Geosciences, Faculty of Science, University of Sydney. With over two decades of academic experience, she specializes in sedimentology and marine geology, focusing on large-scale synthesis of sedimentological and geochemical datasets to understand ocean chemistry and the global carbon cycle. Her work combines traditional sedimentology with cutting-edge technology to explore Earth's history from the Archaean to the present. Dr. Dutkiewicz earned her PhD from Flinders University with a thesis titled "Quaternary Palaeoclimate From the Lake Malata-Lake Greenly Complex, South Australia," supervised by Chris von der Borch. Her doctoral work was selected for special commendation by Flinders University. Prior to her PhD, she completed First Class Honours in Geoscience, earning the Western Mining Prize for Excellence in Geoscience. As a sedimentologist, Dr. Dutkiewicz's research spans diverse geological periods from Archaean to Quaternary. Her current focus involves synthesizing large sedimentological and geochemical datasets to provide new insights into marine sediment composition, ocean chemistry, and the global carbon cycle. She has developed innovative 3D globes for visualizing global seafloor lithology, polymetallic nodules, and contourites, enabling new approaches to understanding deep-sea processes. Her work is highly interdisciplinary, combining traditional geological methods with advanced computational techniques. Analysis of Dr. Dutkiewicz's recent publications reveals a strong focus on deep-sea processes, carbon cycling through geological time, and the relationship between tectonics and climate. Her work spans multiple geological periods but particularly emphasizes Cenozoic and Mesozoic Earth history. She frequently collaborates with Professor Dietmar Müller and the EarthByte research group, developing innovative computational approaches to model Earth's geological evolution. Her research has significant implications for understanding current climate change within a deep-time context. Dr. Dutkiewicz has received numerous prestigious awards recognizing her contributions to Earth sciences: Mawson Medal & Lecture from the Australian Academy of Science (2024) ARC Future Fellowship (2020) Dorothy Hill Award from the Australian Academy of Science (2006) CSIRO Medal for Scientific Achievement (2006, group award) JG Russell Award from the Australian Academy of Science (2005) ARC QEII Research Fellowship (2005-2010) Dr. Dutkiewicz actively supervises research students, including Faranak DALVAND who is investigating carbonate sequestration in the Pacific and Indian oceans over the Cenozoic. She has secured significant research funding, most notably an ARC Future Fellowship in 2020 for her project "The deep-sea carbon reservoir through geological time." Her earlier grants include projects on the global distribution of deep-sea sediments, tracing life's beginnings through molecular fossils, and understanding the origin of Australian opal deposits. She has also been involved in major collaborative projects like the GPlates Portal for 3D visualization of geological data. Dr. Dutkiewicz is a key member of the EarthByte research group at the University of Sydney, which specializes in developing computational tools for understanding Earth's evolution. Her work has led to the creation of the first digital map of the seafloor's geology, featured in numerous media outlets worldwide. She collaborates extensively with international researchers and contributes to major data synthesis efforts that integrate geological, geophysical, and geochemical information to create comprehensive models of Earth's history.
Dr. Januar Harianto is a Lecturer in Biostatistics at the University of Sydney's Faculty of Science, specializing in agricultural data science and statistical methodologies. He teaches biostatistics and conducts workshops, demonstrating a strong commitment to statistical education. His research focuses on ecological data analysis, marine biology impacts under climate change, and geospatial data processing. Research interests include biostatistical applications in environmental science, ecological modeling, climate change adaptation in marine organisms, and geospatial data harvesting. Key areas involve statistical analysis of soil science, marine invertebrate physiology under environmental stress, and reproductive biology of insects. Publications show consistent focus on climate impacts on marine ecosystems, statistical methods in environmental science, and insect physiology. His work employs multivariate analysis, physiological monitoring, and geospatial data techniques across diverse biological systems.
