Find Academic Supervisors

• Spatio-temporal soil modeling
• Soil spectroscopy
• Machine learning in geosciences
• +3 more

Dr. Jose Padarian Campusano is a Research Fellow at the University of Sydney's School of Life and Environmental Sciences and a member of the Sydney Institute of Agriculture. He holds a BSc in Agriculture and Agricultural Engineering from the University of Chile and completed his MPhil and PhD in Agriculture at the University of Sydney under Professors Budiman Minasny and Alex McBratney. His research focuses on spatio-temporal soil modeling, machine learning applications in soil sciences, and open-source geospatial tools. He has contributed to projects like GlobalSoilMap and the FAO's national digital soil mapping initiative in Chile. His work emphasizes deep learning for soil spectroscopy, model interpretability, and global-local model connectivity. Education: Bachelor of Science in Agriculture and Agricultural Engineering, University of Chile MPhil in Agriculture, University of Sydney PhD in Agriculture, University of Sydney Research Interests: Dr. Campusano's work spans advanced machine learning techniques for soil modeling, data integration from spectral and remote sensing sources, and the development of transparent AI frameworks. He is particularly interested in improving soil model accuracy while addressing 'black-box' challenges through interpretability methods. His contributions include frameworks like QuadMap for uncertainty-aware spatial mapping and transfer learning approaches for soil data localization. Notable Awards: 2021 Early Career ISMC Presentation Award 2019 Best Idea in Digital Soil Mapping Award 2016 Faculty of Agriculture and Environment Scholarship 2011 Becas Chile Scholarship Advising & Grants: Supervises PhD student Lloyd Huang. Recent grants include the AI-based soil carbon monitoring platform funded by Australia-India Strategic Research Fund and the National Soil Carbon Innovation Challenge. Labs/Teams: Active in the Sydney Institute of Agriculture and collaborates with international teams on GlobalSoilMap and FAO initiatives.

• Agricultural Data Science
• Environmental Modelling
• Soil Science
• +4 more

Liana Pozza is a Lecturer in Agricultural Data Science at the University of Sydney's School of Life and Environmental Sciences. She is affiliated with the Sydney Institute of Agriculture, focusing on pedagogy, environmental modeling, and soil science applications. Her work emphasizes spatial distribution analysis of soil properties, crop constraints, and contaminants. Research interests include integrating machine learning with geospatial data for precision agriculture, interdisciplinary education in STEM, and global soil science training programs. She has contributed to projects like the National Inventory of Soil Science Teaching and the AgData Challenge hackathon (2nd prize). Key grants include 3D soil mapping research (GRDC) and soil organic carbon accounting (Department of Industry). Her publications span environmental virology, Gaussian process modeling, and citizen science initiatives. Selected Grants: 3D PAWC Mapping (2022), Accountable Accounting: Soil Organic Carbon (2022) Notable Achievement: 2nd Prize in AgData Challenge Hackathon (University of Sydney team)

• Plate Tectonics
• Geodynamics
• Paleogeography
• +4 more

Sabin Zahirovic is a Research Fellow and DECRA Fellow at the School of Geosciences, The University of Sydney, specializing in plate tectonics, geodynamics, and the deep carbon cycle. He completed his PhD in 2015, focusing on Post-Pangea global plate kinematics and Southeast Asian geodynamics. His roles include leading the New Guinea research stream in the Basin Genesis Hub project and serving on committees such as the Deep Carbon Observatory's Executive Committee and the Paleogeography Working Group of the IUGS Deep-time Digital Earth initiative. Zahirovic's research emphasizes the interplay between tectonics, mantle dynamics, and carbon cycling, with a focus on Southeast Asia, Tethys, and New Guinea. Education: PhD in Geosciences (University of Sydney, 2015) BSc/Higher Degree Studies in Geology Research Interests: His work explores plate-mantle interactions, deep-time paleogeography, and the role of tectonics in Earth's carbon cycle. Key areas include Tethyan tectonics, India-Eurasia collision, and carbonate platform evolution linked to subduction processes. Zahirovic's studies integrate geodynamic modeling, machine learning, and paleogeographic reconstructions to address large-scale Earth system questions. Grants & Projects: ARC DECRA Fellowship (2021-2024) Basin Genesis Hub Project (Industry & ARC-funded) Deep Carbon Observatory initiatives Awards: Recipient of multiple honors, including the NSW Young Tall Poppy Award (2020) and the Robinson Fellowship (2019). His research has been recognized for contributions to geoscience education, tectonic modeling, and interdisciplinary carbon studies. Labs & Teams: Active in the EarthByte Group, collaborating on open-source tools like GPlates and leading visualization efforts for deep-time Earth models. His work supports industry and academia through resource exploration frameworks and digital geoscience platforms.

• Bayesian statistics
• Spatio-temporal modeling
• Environmental science
• +4 more

Edward Cripps is an Associate Professor in the School of Physics, Maths and Computing at The University of Western Australia, specializing in Mathematics and Statistics. He holds degrees including a BEc from UWA and a PhD in Statistics from UNSW. His research focuses on Bayesian longitudinal analysis, spatio-temporal models, and integrating physical models with probabilistic approaches for environmental, meteorological, and oceanographic applications. He leads major grants including the ARC Industrial Transformation Research Hub for Transforming Energy Infrastructure (2021-2025) and the DARE Training Centre (2021-2025). Collaborations include industry partners like INPEX, Shell, Woodside, and governmental bodies such as the Bureau of Meteorology. He teaches undergraduate courses in probability and applied statistics. Grants & Awards: ARC Hub ($10M) as Chief Investigator/Data Science Leader (2021-2025) MinEx CRC 2022-2023 publication prize (2023) Research Interests: His work addresses model-data mismatch in complex systems, leveraging high-quality data for decision-making in resource management and engineering. Recent projects include geophysical feature discovery, spectral estimation bias correction, and offshore wind turbine structural analysis.

• Urban Planning
• Land Use Planning
• Regional Planning
• +3 more

Associate Professor Severine Mayere is affiliated with Queensland University of Technology (QUT) in the School of Architecture & Built Environment, Faculty of Engineering. Her research focuses on urban governance, land use planning, regional planning, growth management, and comparative planning practices. She holds a PhD in Urban and Regional Planning from Florida State University. Key grants include the QUT ECARD Grant (2009) and BEE Dubai Study Tour Grant (2008). Her work emphasizes policy implementation, urban sustainability, and stakeholder engagement. Notable projects include the Kelvin Grove Urban Village stakeholder engagement study and the INAS Games Legacy Project. She collaborates with institutions like Griffith University, the University of Queensland, and international partners. Her research outputs span urban geospatial AI, post-pandemic urban growth, and compact city policies. Publications highlight themes like vertical schools as community hubs, planning student employability, and Brisbane's compact activity centre policies. Though no scientific awards are listed, her contributions to urban policy analysis and placemaking methodologies are widely recognized in academic circles.

Alan WoodleyView profile

Senior Lecturer

• Data Science
• Environmental Management
• Computational Modeling
• +3 more

Dr. Alan Woodley is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT) and leads the Spatial Informatics Laboratory. He holds a PhD in Computer Science from QUT and a Certificate in New Ventures Leadership from MIT. His roles include Associate Investigator at the Centre for Agriculture and the Bioeconomy, Australian Data Science Centre, and ARC Centre of Excellence for Mathematical & Statistical Frontiers. Education: PhD (2008), B.IT (Hons) (2003), B.IT (2003) from QUT; MIT Innovation Bootcamp (2018). Research focuses on applying big data solutions to environmental and mining domains, emphasizing data analytics, computational modeling, and visualization. Key areas include industrial sustainability, social-technical integration, and flood monitoring using remote sensing and social media. His work has attracted over $4M in funding and produced over 70 publications. Recent articles highlight innovations like flood mapping via spectral indices, social media-based disaster detection, and parallel clustering algorithms. Notable grants include projects with the US Department of Energy, Food Agility CRC, and CRC for Spatial Information. Awards: Vice Chancellor's Research Fellowship (2018), Bonneville Power Administration grants for salmon monitoring and fish density tools, and Food Agility CRC funding for circular economy frameworks. Teaching: Courses include Programming Principles, Web Development, and Large Scale Data Mining (encompassing 100–600 students annually). Collaborations: Partnerships with Lendlease, Bonneville Power Association, Queensland Government, and mining industry representatives to develop tools like community compost apps and land change systems. His Spatial Informatics Lab drives interdisciplinary projects in environmental informatics and geospatial data science.

• Information Systems
• Data Visualization
• Business Analytics
• +4 more

Ashir Ahmed is a Senior Lecturer in Media and Communication at Swinburne University of Technology, Australia. He holds a PhD in Information Systems from Monash University. His teaching focuses on Database Management Systems, Data Visualization, and Systems Acquisition. His research explores technologies like Web 2.0/3.0 for social impact, including data visualization for nonprofits, suicide prevention via social media, and disaster management frameworks. Notable projects include the 'Digital School in a Van' initiative in rural Pakistan and analysis of right-wing extremism prevention strategies in Victoria. Education: PhD in Information Systems, Monash University Research Interests: ICT for social impact (ICT4D) Data analytics for public health and disaster management Social media's role in radicalization and mental health Business analytics strategies for SMEs Grants & Projects: Lead investigator for 'Digital literacy in rural Pakistan' (2019) Analysis of CareRING client data for Kildonan Uniting Care (2015-2016) Mapping right-wing extremism in Victoria (2019-2020) Advising & Collaboration: Supervised 8 doctoral candidates on topics ranging from disaster governance to misinformation Collaborated with NGOs like Access Health and Community Limited His work emphasizes interdisciplinary approaches, incorporating machine learning and social network analysis to address complex societal challenges.

• Engineering Education
• Image Processing
• Biometric Identification
• +7 more

Professor Wageeh Boles is a Full Professor in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT). He holds a PhD from the University of Pittsburgh and has held academic roles at Penn State University and QUT, including Assistant Dean (Teaching and Learning) and Chair of the Faculty Academic Misconduct Committee. His research focuses on engineering education, biometric identification (e.g., iris and palm recognition), image processing, and object recognition. He has over 200 publications and is a Fellow of multiple organizations, including the UK Higher Education Academy. Education: PhD (University of Pittsburgh), MSc (University of Pittsburgh), BSc (Assiut University) Roles: Academic Lead for Learning and Teaching, QUT Academy for Learning and Teaching Mentor Affiliations: IEEE, APRS, ALTF, and AaeE Research interests include technology-enhanced learning, work-integrated learning, and cognitive styles in computer-based education. His contributions span AI in education, biometric systems, and satellite imagery analysis. Awards include the National Teaching Fellowship (2011) and Distinguished Member Award (AaeE, 2015). Awards and recognitions reflect his leadership in teaching and innovation, including the Vice Chancellor’s Performance Award (2007) and multiple teaching excellence accolades. He has advised numerous graduate students and led projects funded by competitive grants.

Simon DenmanView profile

Associate Professor

• Computer Vision
• Machine Learning
• Deep Learning
• +5 more

Dr. Simon Denman is an Associate Professor in the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He co-leads the Applied Data Science research programme at the QUT Centre for Data Science. His research focuses on computer vision, machine learning, and signal processing, with applications in security, healthcare, and sports analytics. Education: PhD, Bachelor of Information Technology, and Bachelor of Engineering (Electronics) from Queensland University of Technology. Research Expertise: Dr. Denman's work spans action recognition, trajectory prediction, biometrics, and medical signal processing. His lab develops solutions for video surveillance, sports analytics, and healthcare diagnostics using deep learning architectures like neural memory networks and 3D perspective networks. Publication Trends: His recent articles (2023-2025) demonstrate a focus on radar signal processing, cross-domain adaptation, and geometric deep learning. Key applications include renewable energy assessment, emotion recognition, and real-time pose estimation in complex environments. Grants: DP200101942: Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks (2021-2025)

Richard BeareView profile

Associate Professor

• Bioinformatics
• Medical Imaging
• Neuroscience
• +3 more

Associate Professor Richard Beare is affiliated with Monash University's Peninsula Clinical School within the School of Translational Medicine. His academic rank is Associate Professor (Research). He specializes in Bioinformatics, Medical Imaging, and Neuroscience, focusing on translational research addressing aging-related chronic conditions. His work bridges clinical and population-level data to improve healthcare outcomes. Key Projects: Imaging and statistical methods for longitudinal brain studies using MRI. Structural covariance analysis for brain network generation. Health services optimization with Google Maps-based travel time modeling. His research aligns with UN SDGs, particularly contributing to good health and well-being (SDG 3). Current funding includes grants from the Brain Research Foundation and NHMRC. He supervises HDR students on topics like thalamic structure-post-concussion links and pediatric concussion biomarkers. Grants and Collaborations: Active projects include national stroke data systems and diabetes-related brain health studies. He collaborates internationally on neuroimaging and health data platforms.

Monica WachowiczView profile

Professor

• Data Science
• Geospatial Science
• Machine Learning
• +5 more

Professor Monica Wachowicz holds the rank of Professor of Data Science at RMIT University, within the School of Science. Her academic roles include Associate Dean of Geospatial Science, Research Leader of Cyber and Data Analytics at the Space Industry Hub, and Deputy Director of the Sir Lawrence Wackett Defence & Aerospace Centre. She leads interdisciplinary research in streaming analytics, IoT integration, and smart city technologies. Wachowicz has pioneered innovations in edge computing and geospatial intelligence, collaborating with global firms like Cisco, Siemens, and IBM. She is a founding member of the IEEE Technical Sub-Committee on Big Data and serves on nine editorial boards. Her research focuses on leveraging machine learning for IoT data streams to address sustainability challenges in smart cities, including mobility analytics and energy systems. Over 52 students under her supervision have contributed to industries like tech, finance, and academia. Wachowicz is the first woman engineer in Geomatics awarded an NSERC Industrial Research Chair in Canada and holds an Honorary Visiting Scholar title at Flinders University. Her work emphasizes cross-sector collaboration, advancing green economies and data-driven decision-making. Awards include NSERC Industrial Research Chair (2010s) and Honorary Visiting Scholar (Flinders University, ongoing). Key projects include EVStationSIM (EV charging infrastructure analysis), Smart Campus Integration Lab, and IoT-GIS platforms for real-time analytics. She supervises projects on AI for urban sensing, smart mobility, and space situational awareness.

• Multi-GNSS Positioning
• Quality Control and Integrity Monitoring
• GNSS Ionosphere Sensing
• +4 more

Dr. Safoora Zaminpardaz is a Senior Lecturer in the School of Science at RMIT University, specializing in GNSS positioning, geodesy, and navigation systems. Her research focuses on multi-GNSS positioning, quality control, integrity monitoring, and ionospheric sensing, with applications in climate monitoring and smartphone-based positioning. She holds an ORCID identifier (0000-0003-0719-674X) and supervises postgraduate students in areas such as integrated GNSS-5G positioning and optical clocks in GNSS systems. Her teaching interests include terrestrial surveying and least-squares adjustment. Recent research highlights include studies on flash drought monitoring using evaporative demand indices and optical clock performance for enhanced GNSS positioning accuracy. Dr. Zaminpardaz actively contributes to international conferences and journals, advancing methodologies in deformation analysis and positioning reliability. She is open to supervising PhD and Masters students in her research areas and collaborates on projects addressing weather extremes, smartphone antenna calibration, and multi-frequency GNSS measurements.

Abhirup DikshitView profile

Research Fellow

• Geospatial Ecohydrology
• Remote Sensing
• Machine Learning
• +5 more

Dr. Abhirup Dikshit is a Research Fellow at the Climate Change Research Centre within the Faculty of Science at the University of New South Wales (UNSW). Holding a PhD from the University of Technology Sydney (2023) and an MS by Research from IIIT Hyderabad (2019), his work bridges geospatial analysis, remote sensing, and machine learning to address critical environmental challenges. His research focuses on geospatial ecohydrology , specializing in monitoring vegetation health through satellite remote sensing and advanced machine learning models. Key research areas include: Flash drought prediction and monitoring using geostationary satellites Vegetation dynamics during extreme climate events Land-atmosphere feedback mechanisms post-bushfires Empirical modeling of rainfall-induced landslides Spatiotemporal drought assessment frameworks Analysis of his 15 most recent publications reveals a strong emphasis on explainable AI (XAI) for environmental modeling, with significant contributions to drought forecasting (42% of recent works), geohazard prediction (31%), and vegetation monitoring (27%). His methodological innovations particularly focus on attention mechanisms and stacked LSTM architectures for transparent climate modeling. Notable scientific recognition includes: 2025 ARC Discovery Early Career Researcher Award (DECRA) 2021 Best Paper Award in Gondwana Research (Elsevier) 2020 Best Paper Award in Atmosphere (MDPI) 2020 IEEE NSW Computational Challenge 2nd Prize Dikshit leads significant research initiatives including the ARC DECRA project on flash drought-bushfire linkages and previously secured funding from the International Science Council for climate-land use-landslide dynamics research in South/East Asia. His work demonstrates strong interdisciplinary collaboration across environmental science, computer science, and geohazards research.

Abdoulaye DiakiteView profile

Research Fellow

• Smart Cities
• 3D Digital Twin
• 3D GIS
• +13 more

Dr. Abdoulaye Diakite is a researcher at the University of New South Wales (UNSW), affiliated with the Arts, Design & Architecture faculty. He is a member of the Geospatial, Research, Innovation and Development (GRID) lab where he leads the Digital Twins R&D with a focus on 3D indoor modelling and navigation, and BIM/GIS integration. Dr. Diakite completed his MSc in Computer Sciences in 2012 from the University of Burgundy (France), followed by a PhD in computational geometry in 2015 at the LIRIS lab (University of Lyon 1, France). Prior to joining UNSW, he worked at Delft University of Technology (2015-2018) on the SIMs3D project for emergency responders' indoor navigation systems and the GeoBIM project for BIM and GIS integration. His research expertise spans across Smart Cities with a strong focus on 3D data technologies including 3D Digital Twins, 3D GIS, BIM/GIS integration, 3D indoor modelling and navigation, 3D analytics and visualization, and IoT Digital Twin integration. His work bridges computational geometry with practical applications in urban environments. As an active member of the Open Geospatial Consortium (OGC), Dr. Diakite co-leads the development of the IndoorGML standard, contributing significantly to international geospatial standards. His research has practical applications in emergency response systems, facility management, and urban planning, with a particular emphasis on creating seamless indoor/outdoor navigation experiences and integrating heterogeneous spatial data sources.

Shannon FaulkheadView profile

Research Fellow

• Indigenous Studies
• Australian Aboriginal History
• Narrative Studies
• +2 more

Dr Shannon Faulkhead is a Research Fellow at the Monash Indigenous Studies Centre (MISC), Monash University, holding the prestigious Finkel Fellowship. As a Koorie woman from Victoria, she leads visual interpretation initiatives for Indigenous narratives and history through the Monash Country Lines Archive project. Her academic foundation includes a PhD focused on Narratives of Koorie Victoria, reflecting deep engagement with Indigenous storytelling traditions. Educational background centers on Indigenous knowledge systems and historical documentation. Research spans Indigenous epistemologies, decolonial methodologies, and digital heritage preservation. She pioneers visual translation of oral histories, specializing in Koorie Victorian narratives through multimedia archiving. Current work emphasizes community-led representation of Aboriginal heritage using digital cartography and 3D modeling. Scientific recognition: Finkel Fellowship Dr Faulkhead directs the Monash Country Lines Archive team, developing protocols for ethical Indigenous data sovereignty. Her prior leadership as CEO and librarian at Koorie Heritage Trust informs community-centered archiving approaches. Current projects integrate geospatial technologies with cultural storytelling to combat historical erasure.