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Xiaoyang WangView profile

Senior Lecturer

• Graph Processing
• Graph Neural Networks
• Spatial Data Processing
• +10 more

Xiaoyang Wang is a Senior Lecturer in the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Bachelor's and Master's degree in Computer Science from Northeastern University, China, and earned his PhD from CSE UNSW. Dr. Wang's research focuses on database systems with a special emphasis on query processing and data mining on large-scale graph, spatial, and streaming data. His expertise extends to data-driven machine learning, smart contract analysis on blockchain, and FinTech with financial network analysis. His work spans Graph Processing, Graph Neural Networks, Spatial Data Processing, AI for Databases (AI4DB), Database for AI (DB4AI), and FinTech applications. His publication record shows significant contributions to the field with 7 book chapters, 56 journal articles, 61 conference papers, 7 edited conference proceedings, and 4 conference abstracts. Recent publications (2022-2025) demonstrate his strong research trajectory in advanced graph processing techniques, neural network applications, and innovative database approaches. Key themes include hierarchical contrastive learning, robust attack frameworks, temporal graph processing, influence maximization, knowledge graph-enhanced reasoning, and rumor mitigation. Dr. Wang actively recruits PhD students interested in pursuing research in related fields and encourages current undergraduate and master's students at UNSW to contact him about research opportunities. He maintains an active research agenda with practical implications for industries dealing with large-scale network data, financial technology applications, and data-intensive systems. He can be reached at xiaoyang.wang1@unsw.edu.au and is located in Engineering building K17-501D at UNSW.

• Database Management
• Spatial-Textual Data Processing
• Heterogeneous Data Usability
• +6 more

Professor Zhifeng Bao is a faculty member at RMIT University's School of Computing Technologies. His research focuses on enhancing data usability across heterogeneous domains, including structured, unstructured, and spatial-temporal data. His work spans database management, keyword search optimization, social network analysis, and spatio-textual data processing. He coordinates the course COSC1169: Intranet and Internet Data Engineering and supervises PhD/Masters students in projects such as trajectory data processing, data asset valuation, and edge computing optimization. Research interests emphasize improving data accessibility and efficiency through methodologies like query relaxation, visual analytics, and provenance tracking. His recent projects include cost-effective edge node placement, traffic accident risk prediction, and differentially private federated learning. Teaching and supervision activities highlight a commitment to bridging theory and practical data engineering challenges.

Marnie CampbellView profile

Professor

• Marine Biosecurity
• Invasive Species Management
• Environmental Policy
• +3 more

Professor Marnie Campbell serves as the Executive Dean of the School of Science at Edith Cowan University (ECU), overseeing disciplines including Biology, Chemistry, Computing, Cyber Security, and Mathematics. She leads four research centers: the Centre for Artificial Intelligence and Machine Learning, the Centre for Marine Ecosystems Research, the Conservation and Biodiversity Research Centre, and the Centre for Securing Digital Futures. Her academic journey includes a BSc(Hons) and PhD from Murdoch University (2000). Marnie’s career spans 18 years in higher education, with 14 years in leadership roles, including Head of the School of Life and Environmental Sciences at Deakin University. She balances active research with policy translation, emphasizing stakeholder collaboration to address environmental challenges. With 12 years in non-academic roles (government, consultancy, CSIRO), she applies cross-sectoral insights to academic leadership. Her research focuses on marine biosecurity, invasive species management, and environmental policy. Notable contributions include frameworks integrating social, cultural, and ecological values in biosecurity and strategies to mitigate marine debris impacts. She has pioneered educational initiatives aligning academic programs with industry/community needs. Marnie’s honors include the 2007 Peter Morris Prize for maritime biosecurity contributions and a Queensland Smart Futures Fellowship (2012–2015). She advises international organizations like the UN and has led projects in the Galapagos Islands and Palau. Her work emphasizes bridging science and policy to address global challenges like biodiversity loss and climate change. Her leadership extends to strategic initiatives like ECU’s Centre for People, Place & Planet. She advocates for innovative education and adaptive governance models to prepare future environmental leaders. Current efforts focus on AI applications in ecological research and securing digital futures amid emerging threats.

• Environmental Sociology
• Natural Resource Management
• Coastal Marine Resources
• +5 more

Dr. Tom Brewer is a Senior Research Fellow at the Australian National Centre for Ocean Resources and Security (ANCORS), University of Wollongong. His work focuses on the intersection of society and natural environments, particularly coastal marine resources in the Pacific region. He holds expertise in environmental sociology, statistics, ecology, and socioeconomics of natural resource management. Currently, he leads projects on Pacific food trade databases and fisheries management, funded by organizations like WorldFish and ACIAR. He supervises four PhD students and contributes to governance initiatives like the Research Data Management Working Group. His research interests include food systems governance, socioenvironmental dynamics, and policy analysis, with a regional emphasis on the Pacific Islands. Recent work addresses food security, trade implications, and marine conservation impacts. He emphasizes actionable data for policy, exemplified by his Pacific Food Trade Database. Brewer’s grants span food system resilience, resource management, and cross-border collaboration.

• Environmental Surveillance Monitoring
• Ecological Data Standardization
• Remote Sensing
• +7 more

Associate Professor Ben Sparrow is affiliated with the University of Adelaide's School of Biological Sciences within the Faculty of Sciences, Engineering and Technology. He leads the TERN Ecosystem Surveillance program, focusing on environmental monitoring methodologies and data standardization. His work emphasizes integrating remote sensing technologies with ecological data to improve biodiversity tracking and policy development. Ben has extensive experience in grant-funded research, including leadership roles in TERN's AusPlots and Eco-informatics initiatives, and has contributed to projects like the Global Drylands Assessment with the UN FAO. He collaborates with stakeholders to address socio-ecological challenges in environmental management and has advised Honours students on topics related to natural resource management and ecological data analysis. Research Interests : Ben's research centers on environmental surveillance, ecological monitoring standardization, remote sensing applications, citizen science integration, and understanding climate change impacts on Australian flora. He advocates for adaptable protocols that balance national data consistency with regional autonomy, ensuring ecological data supports both science and policy. His work includes developing open-access datasets (e.g., deadtrees.earth) and advancing tools like the ausplotsR package for vegetation analysis. Grants & Funding : Recent grants include $2.1M from NCRIS/TERN (2018), a $484,770 Citizen Science Grant for the Wild Orchid Watch project, and UN FAO funding ($20,000 USD) for global drylands research. He has also secured funding for LiDAR and photogrammetry initiatives, vegetation mapping projects, and cross-disciplinary research efforts. Professional Activities : Ben actively participates in committees such as the Enabling ecosystem surveillance working group (Ecosystem Science Council) and the Drylands Working Group (UN FAO). He co-chaired the 15th Australasian Remote Sensing and Photogrammetry Conference and contributes to global initiatives like the sPlot dataset project. His work bridges ecological science with practical policy applications, emphasizing reflexivity and communication in socio-ecological systems. Labs/Teams : Ben is part of the Terrestrial Ecosystem Research Network (TERN) team at the University of Adelaide's Waite campus, leading the Ecosystem Surveillance unit. He collaborates with the AusPlots Rangelands program and the Eco-informatics group to develop continental-scale ecological monitoring infrastructure.

• Child Health and Development
• Epidemiology
• Public Health Surveillance
• +3 more

Associate Professor Catherine Chittleborough is an epidemiologist and Deputy Head of the School of Public Health at the University of Adelaide, affiliated with the BetterStart Health and Development Research initiative. She holds a joint appointment in the Faculty of Health and Medical Sciences. Previously, she worked at SA Health for a decade and completed a postdoctoral position at the University of Bristol. Her research focuses on reducing health inequalities in child development, leveraging causal epidemiological methods and population data from longitudinal cohorts. She teaches undergraduate public health and epidemiology courses. Education: Postdoctoral training at the University of Bristol (2009-2011) Extensive prior experience at SA Health (1990s-2010) Research Interests: Child health equity, causal epidemiology, data linkage studies, early childhood development, and interventions targeting family support programs. Her work emphasizes identifying at-risk children to improve preventive strategies. Grants & Funding: EMPOWER Project (NHMRC AUD 2.4M, 2016-2020) SA Health Data Linkage Studies (NHMRC AUD 453K, 2013-2016) Child Maltreatment and School Outcomes (Channel 7 AUD 69K, 2016-2018) Teaching: Coordinator for PUB HLTH 1001, HLTH SC 3103, and other public health modules. Active in curriculum design and delivery across undergraduate programs. Professional Activities: Chair, School of Public Health Learning and Teaching Committee Member of multiple advisory boards and review panels Labs/Teams: Lead researcher in BetterStart Health and Development Research, collaborating on interdisciplinary projects to improve child health outcomes through policy and practice.

• Structural Biology
• Protein-Nucleic Acid Interactions
• Crystallography
• +3 more

Charles Bond is a Professor at the School of Molecular Sciences within the Faculty of Science at the University of Western Australia. With a PhD in Chemistry from the University of Manchester and additional training from the Australian Institute of Company Directors, he has established himself as a prominent researcher in structural biology and molecular interactions. Education: PhD in Chemistry, University of Manchester (1992-1996) Graduate, Australian Institute of Company Directors (2022) Bond's research focuses on understanding how the spatial arrangement of biological molecules in complexes dictates their function, with particular interest in protein:nucleic acid interactions and their roles in gene regulatory complexes in eukaryotes. His work combines expertise in crystallography, bioinformatics, biochemistry, and molecular biology, often through collaborations with experts in cell biology and other biophysical techniques. His research spans structural biology, molecular recognition, RNA-binding proteins, and the development of synthetic biology tools. Analysis of his recent publications reveals a strong emphasis on protein-nucleic acid interactions, structural dynamics of biomolecular complexes, and the application of structural biology to solve biological problems. His work increasingly incorporates computational approaches, including contributions to discussions about AlphaFold's impact on structural biology. He has made significant contributions to understanding pentatricopeptide repeat proteins, paraspeckle formation, and bacterial conjugation mechanisms. As an active member of the scientific community, Bond serves as a co-editor for Acta Crystallographica Section D and has reviewed for multiple high-impact journals including Nature Communications, Biochemistry, and The Plant Cell. His research has been supported by funding from the Marsden Fund for projects investigating molecular circuits and gene expression. Bond maintains an active laboratory focused on structural biology approaches to understand molecular interactions, with particular emphasis on protein-RNA complexes and their roles in cellular processes. His collaborative approach has led to productive partnerships across multiple disciplines, bridging structural biology with cell biology, biochemistry, and agricultural science.

Arko LucieerView profile

Professor

• Remote Sensing
• Geospatial Science
• Environmental Monitoring
• +5 more

Professor Arko Lucieer is the Head of the School of Geography, Planning, and Spatial Sciences at the University of Tasmania. He holds a PhD in Remote Sensing from Utrecht University (Netherlands). His research focuses on advancing drone and remote sensing technologies for environmental monitoring, particularly in biodiversity mapping, ecosystem dynamics, and Antarctic ecology. He leads the TerraLuma research group, pioneering ultrahigh-resolution remote sensing applications. Key roles include: Established TERN DroneScape for national ecosystem monitoring Developed protocols for drone-based data collection and AI-driven analysis Recipient of the 2008 National Banksia Environmental Award Research Interests: Integration of drone technology, multispectral/hyperspectral imaging, and AI to quantify plant traits, map ecosystems, and address climate change impacts. Projects span forest health, Antarctic moss communities, and precision agriculture. Grants & Projects: TERN DroneScape: $1.6M for standardized drone-based ecosystem monitoring NatureScan: $1.2M for national biodiversity monitoring using drones and AI Supervision: Mentor to over 20 doctoral students, focusing on remote sensing applications in ecology, forestry, and environmental science. Labs/Teams: TerraLuma research group, specializing in drone remote sensing innovation and environmental data analytics.

Shixun HuangView profile

Lecturer

• Data Mining
• Machine Learning
• Algorithm Design
• +3 more

Dr. Shixun Huang is a Lecturer in the School of Computing and Information Technology at the University of Wollongong, Australia. He holds a PhD from RMIT University and specializes in data mining, machine learning, and optimization algorithms for high-dimensional data problems. His research develops efficient algorithms for data discovery, similarity search, and network analysis. Current projects focus on optimized data acquisition strategies for machine learning, cost-effective labeling for graph neural networks, and cardinality estimation in high-dimensional databases. Methodologically, he combines combinatorial optimization with machine learning techniques. Dr. Huang supervises graduate research on diffusion models for medical imaging, graph prompt learning, and image captioning systems. His honors include multiple best paper awards at top database conferences and recognition for teaching excellence (College Top Course Award at RMIT). Recent publications address dataset distinctiveness maximization (WWW 2025), high-dimensional similarity search (VLDB 2025), and edge computing optimization (2024). Earlier foundational work established new approaches for influence maximization in social networks and temporal graph representation learning.

• Marine Ecology
• Seagrass Biology
• Coastal Ecosystem Management
• +4 more

Michael A. Rasheed is a leading marine ecologist at James Cook University , specializing in seagrass ecosystem monitoring and conservation. His work focuses on seagrass resilience , herbivory impacts , and coastal environmental management across Queensland's Great Barrier Reef and Torres Strait regions. Key research themes include: Seagrass monitoring in industrial ports (Gladstone, Townsville, Weipa) Deep-water seagrass light thresholds for dredging management Herbivore exclusion experiments to study ecosystem structuring Blue carbon stock assessments and climate vulnerability analyses His publications (2016–2025) demonstrate consistent ecosystem monitoring using long-term datasets and spatial analysis to inform marine conservation policies . Collaborations span multi-institutional teams including TropWATER, Reef and Rainforest Research Centre, and Australian Marine Science Association.

• Spatial Data Infrastructures
• Geospatial Information Ecosystem
• Artificial Intelligence
• +3 more

Dr. Lesley Arnold holds an Adjunct Associate Professor position at Curtin University's School of Earth and Planetary Sciences within the Faculty of Science and Engineering. She specializes in governmental geospatial information policy, working globally with organizations like the United Nations and World Bank to strengthen geospatial management for sustainable development. As a lead author of the UN-GGIM Integrated Geospatial Information Framework (IGIF), she develops strategies for spatial data reform, open data initiatives, and SDI policies. Her career includes executive roles at Landgate, where she managed WA's geospatial programs, and leadership positions in intergovernmental committees such as ICSM and AuScope. Education: PhD in Spatial Science (Curtin University, 2005), BSc (First Class Honours) in Cartography (Curtin, 1996), and a Diploma in Cartography (Wembley Technical College, 1985). Awards include the SSSI Fellowship and D.B. Johnston Award for spatial sciences excellence. Research focuses on Spatial Data Infrastructures (SDIs), geospatial ecosystems powered by AI, data supply chains, and integrated geoinformation management. She has authored papers on semantic web technologies, geospatial provenance models, and decision-making frameworks for coastal management. Professional roles include Board Directorships at AuScope and AURIN, and executive leadership in global geospatial initiatives. Her work emphasizes collaboration across governments, academia, and industry to build sustainable geospatial data ecosystems.

Agnes HaryantoView profile

Research Fellow

• Big Data Management
• Data Engineering
• Geospatial Databases
• +3 more

Dr. Agnes Haryanto is a Research Fellow in the Embodied Visualisation Group at Monash University's Faculty of IT. Her work focuses on improving healthcare quality through live-streaming clinical analytics and dashboards for accreditation. She holds a PhD from Monash University (2015) in Spatial and Graph Databases. Education: Doctor of Philosophy, Monash University Research interests span Big Data Management, Geospatial Databases, and Health Informatics. Her current projects include a digital health intervention for Emergency Department clinicians (2023–2026), funded by Australia's Department of Health and Aged Care. She has contributed to advancing spatial query optimization and clinical data warehouse systems. Collaborations involve interdisciplinary teams addressing SDGs like quality education and health equity. Teaching commitments include units like FIT3003 (Business Intelligence) and FIT5137 (Advanced Database Technology). Key projects include developing real-time clinical analytics systems to bridge gaps in healthcare data utilization. Her work aligns with UN SDG 3 (Good Health) and SDG 4 (Quality Education).

Andy BakerView profile

Professor

• Groundwater hydrology
• Quaternary environments
• Physical geography and environmental geoscience
• +2 more

Professor Andy Baker is a leading academic at the School of Biological, Earth and Environmental Sciences , UNSW Sydney. With a career spanning over three decades, he has also held prestigious positions at the University of Birmingham, University of Newcastle upon Tyne, and University of Exeter. PhD in Speleothem Growth Rate and Paleoclimate, Bristol University (1990-1993) BSc (Hons) in Geographical Science, Bristol University (1987-1990) His research focuses on the intersection between geology and water , utilizing stalagmites to reconstruct past climates, groundwater recharge patterns, and fire history. He specializes in isotopic and geochemical techniques for analyzing organic matter in natural and human environments, from groundwater systems to drinking water quality. Recent publications highlight interdisciplinary applications of stalagmite analysis in climate science, fire history reconstruction through geochemical signatures , and groundwater recharge modeling using cave drip water networks. His work spans from Mediterranean karst systems to sub-Antarctic lakes , with a focus on global environmental change and hydrological sustainability . Awardees include: Clarke Medal for Geology (2023) Fellow of Royal Society of NSW (2024) Over $75 million in successfully managed research grants He currently supervises PhD students in projects related to climate modeling , groundwater sustainability , and karst hydrology . His outreach includes regular media engagement with ABC, The Conversation, and international cave science training programs.

Fatemeh VafaeeView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Systems Biology
• +5 more

Associate Professor Fatemeh Vafaee is a leading researcher at the University of New South Wales (UNSW) , holding appointments as Associate Professor in the School of Biotechnology and Biomolecular Sciences (BABS) and Deputy Director (Science) of the UNSW AI Institute . She previously served as Deputy Director of the UNSW Data Science Hub (uDASH) and has held academic positions at the University of Toronto and the University of Sydney. PhD in Artificial Intelligence from University of Illinois at Chicago Postdoctoral Fellowships at University of Toronto and University of Sydney Founded the AI-Enhanced Biomedicine Laboratory in 2017 Her research focuses on deploying advanced AI techniques to address biomedical challenges through: Biomarker Discovery for cancer and neurodegenerative diseases Single-Cell Multi-Omics data integration and analysis Computational Drug Repositioning and network pharmacology Multi-Omics Data Fusion and temporal network modeling Recent publications demonstrate expertise in liquid biopsy development , single-cell imaging , and AI-driven cancer diagnostics . Her methodological contributions include novel deep learning architectures for omics data analysis and graph neural networks for drug synergy prediction. Scientific accolades include: Winner, Women in AI Asia-Pacific Health Award (2023) Runner-Up, WAI-APAC Innovator of the Year (2023) Top 10 Women in AI in Asia-Pacific (2023) Australian Bioinformatics and Computational Biology Society Research Excellence Award (2023) She supervises PhD candidates across computational biomedicine and AI in healthcare , with significant grant achievements exceeding $17M in competitive funding, including schemes from ARC Discovery , NHMRC , and Medical Research Future Fund .

• Machine Learning
• Algorithm Optimization
• Neural Networks
• +4 more

Kyungmi Joanne Lee is a Senior Lecturer at James Cook University (JCU), Australia, specializing in Computer Science and Artificial Intelligence. She holds a PhD in Computer Science from Griffith University (2007) and previously served as a Lecturer at Charles Sturt University (2007–2008). Her research focuses on machine learning, algorithm optimization, neural networks, data mining, and applied AI. Key projects include developing real-world scheduling systems for mining operations, ultrasonic signal classification, and spatio-temporal trajectory analysis. Teaching responsibilities include modules like Database Modelling, where she coordinates and lectures. She currently supervises 5 PhD students, with 3 nearing completion. Her work spans diverse applications, such as emergency management through geospatial data analysis and curriculum development via text mining. With 58 publications across journals and conferences, her contributions highlight interdisciplinary approaches to data-driven solutions.