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Dr. Sirui Li is a Lecturer at Murdoch University's School of Information Technology within the College of Science, Technology, Engineering and Mathematics. Her research focuses on Artificial Intelligence, Natural Language Processing (NLP), Machine Learning, Knowledge Graphs, Data Analysis, Temporal Data, and Multi-modal Models, with applications in medicine, agriculture, and mining. She collaborates with industry partners like BHP and has published in journals such as Food Chemistry and Knowledge and Information Systems , as well as conferences like ICSME and IJCNN. Education: Bachelor of Advanced Computing (Honours) in Computer Science at Australian National University Master of Computing (Specialising in AI) at ANU Ph.D. in Information Technology (AI) at Murdoch University Research interests include interdisciplinary applications of AI, such as clinical coding privacy solutions, disease spread modeling, and drug repurposing for pandemics. Her work emphasizes practical industry integration, demonstrated through awards like the 2024 EMNLP Best Demo Award and the 2023 Iron Ore Circuit Hackathon innovation prize. Professional roles include IEEE Western Australia Section committee membership, conference chair positions, and peer review for top journals. She actively mentors students pursuing Honours, Master's, or PhD projects in her areas of expertise.

• Natural Language Processing
• Knowledge Graphs
• Machine Learning
• +5 more

Dr. Matthew Brookhouse is a Senior Lecturer at the Fenner School of Environment & Society, part of the Australian National University's Institute for Climate, Energy & Disaster Solutions. With a PhD in Dendroclimatology from ANU, he specializes in using forest structural complexity and tree-ring analysis to understand climate interactions and ecological responses in Australian subalpine environments. Research Focus: Sub-alpine ecology, Dendrochronology, CO2 responsiveness in eucalypt species Teaching: First-year research methods with emphasis on statistical application, advanced modeling and field botany Projects: Leading collaborative snow-gum dieback research and dendrochronological monitoring initiatives His publications span 2006-2025 with recent emphasis on machine learning applications for forest monitoring, tropical tree-ring chronologies for climate change, and climate sensitivity in Australian alpine ecosystems. Key collaborations include institutions like Australian Nuclear Science and Technology Organisation and University of Canberra researchers. Current projects focus on snow-gum woodland dieback mechanisms, high-resolution dendrometric monitoring, and integrating dendrochronology with environmental policy frameworks. He maintains active supervision of research students and contributes to both undergraduate and postgraduate curriculum development.

• Plant physiology
• Sub-alpine ecology
• Dendrochronology
• +2 more

Professor Ryan Ko is a leading academic in Cyber Security at the University of Queensland (UQ), serving as Chair and Director of the UQ Cyber Research Centre, Director of Research at the School of Electrical Engineering and Computer Science, and a member of UQ's Academic Board. He holds a BEng (Computer Engineering) and PhD from Nanyang Technological University, Singapore. His research focuses on data provenance, industrial control systems (ICS) security, privacy-preserving technologies, and AI-driven cybersecurity solutions. Ko has pioneered initiatives such as the UQ Cyber Centre, interdisciplinary cybersecurity education programs (MCyber, PGDipCyber), and the Oceania Cybersecurity Challenge. He has attracted over AUD 20 million in competitive grants as lead investigator, including the NZ$12.2M STRATUS project. Ko’s work spans industry and policy, including advisory roles with INTERPOL, governments, and NGOs. He has authored over 100 publications, contributed to ISO standards (e.g., ISO/IEC 21878), and co-founded cybersecurity startups. Awards include Fellowships from the Australian Computer Society and Queensland Academy of Arts and Sciences, and the CSA Ron Knode Service Award. Education: Bachelor of Engineering (Computer Engineering) (Hons.), Nanyang Technological University (2005) PhD in Computer Science, Nanyang Technological University (2011) Awards: Fellow, Australian Computer Society (2016) Fellow, Queensland Academy of Arts and Sciences (2020) Young Professional Award, Singapore Government (2018) Grants & Leadership: AUD 20M+ lead investigator grants; NZ$12.2M STRATUS project (2014–2018) Established UQ Cyber Centre (2019) and NZ’s first cybersecurity graduate program (2012) His research emphasizes returning data control to users, with applications in agriculture, energy, and critical infrastructure. Ko’s contributions include patents, open-source tools (e.g., Kali Linux), and frameworks like TrustCloud for cloud accountability.

• Cyber Security
• Data Provenance
• Industrial Control Systems (ICS) Security
• +6 more

Professor Balz Kamber is a renowned academic in the Faculty of Science at Queensland University of Technology (QUT), leading research in elemental and isotopic geochemistry paired with petrology. He holds the position of Professor in Petrology within the School of Earth & Atmospheric Sciences . His work focuses on Earth's differentiation into chemical spheres, with applications in climate science, planetary evolution, and resource exploration. Kamber has held prestigious roles, including Chair in Geology and Mineralogy at Trinity College Dublin and a Tier 1 Canada Research Chair at Laurentian University. Education: PhD (University of Bern, Switzerland), MSc (University of Bern) Professional Memberships: Royal Irish Academy (since 2018), European Association of Geochemistry Research interests include thermodynamic modeling of igneous processes, automated mineralogy, and the interplay between climate and geological history. His current projects address mantle dynamics, crustal evolution, and planetary weathering. Teaching focuses on Earth Materials, Petrology, and Climate Science at QUT. Notable achievements include editorship of Chemical Geology (since 2018) and contributions to understanding the Great Oxidation Event and Deccan Traps volcanism. His work bridges fundamental geochemistry with real-world challenges, such as climate change mitigation through enhanced rock weathering. Grants/Funding: Led the 23M Euro Irish Centre for Research in Applied Geosciences (2011–2018) Labs/Teams: Heads a dynamic research group advancing LA-ICP-MS methodologies and geochemical imaging

• Geochemistry
• Petrology
• Igneous Processes
• +5 more

Brett Smith is an Associate Professor in the UWA Business School at the University of Western Australia, affiliated with the School of Social Sciences and the Planning and Transport Research Centre (PATREC). His research focuses on transport planning, land use analysis, and choice modeling, with emphasis on autonomous vehicles, public transport policy, and gig economy workers' rights. He holds roles including UWA Research Representative on PATREC's Research Committee and Centre of Business Data Analytics Research Fellow. Education details are not explicitly listed in the text, but his professional roles and research output demonstrate advanced expertise. His research interests span micro-economic analysis, experimental design, and policy evaluation, with notable contributions to Perth's transport modeling and strategic planning. He has led over AU$2 million in industry-funded grants, including projects on e-rideables, working-from-home impacts, and land use-transport integration. His research has influenced state policies, such as public transport fare restructuring and strategic transport modeling updates. Awards include the Lyndsay Oxlad Best Paper Award and Eric Pas Dissertation Prize. He supervises students in areas like blockchain in food transparency and AV adoption, and teaches courses in business analytics and data-driven decision-making. Key Projects: Transport Mode Choice Development (PATREC, $80k) Impacts of e-Rideables (PATREC, $92k) Working from Home Transport Demand Modeling (i-Move CRC, $260k) Labs/Teams: PATREC, Centre of Business Data Analytics, and collaborations with global institutions like Leeds University and Czech Republic’s Transport Research Centre.

• Transport Planning
• Land Use Analysis
• Choice Modelling
• +5 more

Professor Ibrahim Khalil is a faculty member in the School of Computing Technologies at RMIT University, Melbourne, Australia. He holds a PhD in Computer Science from the University of Bern (2003) and has extensive industry experience in Silicon Valley focusing on secure network protocols. His research spans Security, Privacy, Federated Learning, Blockchain, Quantum Computing, and Distributed Systems. He leads high-impact projects funded by ARC grants (DP250100582, DP220100215, etc.) and international initiatives like the EU’s SELFY project. His work addresses challenges in secure AI data analytics, privacy-preserving systems, and critical infrastructure protection. Khalil supervises PhD/Masters students on topics ranging from federated learning security to quantum-enhanced machine learning. Education: PhD in Computer Science (University of Bern, 2003); prior roles at EPFL, Osaka University, and industry tech hubs. Research Interests: Privacy-Preserving Technologies Blockchain Applications in Healthcare and Supply Chains Quantum Computing for Machine Learning Secure Edge Computing and Federated Learning IoT Security and Critical Infrastructure Protection Grants & Collaborations: Over 10 major grants since 2017, including ARC Discovery/Linkage Projects and international partnerships (QNRF, EU). Notable projects include Privacy-Aware Digital Twins for Critical Infrastructure and Federated Learning frameworks for GenAI models. Advising & Labs: Active supervisor of 25+ research projects since 2013, focusing on anomaly detection, secure data analytics, and blockchain-based systems. Collaborates with industry partners on defense and healthcare tech.

• Security
• Privacy
• Federated Learning
• +4 more

Professor Jes Sammut is a faculty member at the University of New South Wales (UNSW) in the School of Biological, Earth & Environmental Sciences . He serves as Deputy Dean for External Engagement and leads the UNSW Aquaculture Research Group , while also holding the position of Deputy Director (International) at the Centre for Marine Science & Innovation. Additionally, he is an Honorary Research Fellow at ANSTO , where he uses nuclear tools to study seafood provenance. His research spans biological, physical, and social sciences, focusing on aquaculture solutions across Australia, Vietnam, Papua New Guinea, Indonesia, India, Thailand, and the Philippines.

• Aquaculture
• Marine Science
• Environmental Impact Assessment
• +7 more

Dr. Ying He is a Senior Lecturer at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). Her research focuses on wireless communication networks, particularly integrating machine learning with satellite and terrestrial systems. She holds a BEng from Beijing University of Posts and Telecommunications (2009) and a PhD from UTS (2017). Prior to her academic role, she worked on TD-LTE chip design at the Chinese Academy of Sciences. Affiliations : Faculty of Engineering and Information Technology Global Big Data Technologies Centre (GBDTC) Education : BEng in Telecommunications Engineering, Beijing University of Posts and Telecommunications (2009) PhD in Engineering (Telecommunications), UTS (2017) Her research interests include satellite communication (GEO-LEO integration), spectrum sharing, vehicular communication, and applying machine learning to physical layer algorithms. Notable contributions include optimizing beam design in LEO networks and developing secure IoT systems. She supervises PhD/Master’s students and teaches courses like CCNA and capstone projects. Funded projects span satellite networks, IoT security, and supply chain tracking. Recent grants include SmartSat CRC initiatives and collaborations with industry partners like Intel and Ericsson. Her work addresses challenges in 6G, UAV-enabled computing, and resilient quantum algorithms.

• Wireless Communication Systems
• Satellite Communication Networks
• Spectrum Sharing
• +3 more

Professor Megan Richardson is an Honorary Professor at the University of Melbourne's Law School, specializing in intellectual property, privacy rights, and legal theory. She has contributed significantly to privacy law reform through advisory roles with the Australian Law Reform Commission and NSW Law Reform Commission. Research focuses on: Evolution of privacy rights in digital contexts Intellectual property intersections with personality rights Data governance frameworks Legal responses to automated decision-making Historical development of privacy doctrines Publication trends show increasing engagement with technology-law interfaces, particularly algorithmic systems and data rights. Recent work examines AI's impact on privacy, blockchain applications, and pandemic surveillance technologies, often employing interdisciplinary approaches combining law with cultural studies. Scientific Awards: No awards mentioned in provided materials. Research Leadership: Serves as Coordinating Editor for Cambridge Elements Series: Data Rights and Wrongs. No specific student advising information available.

• Intellectual Property
• Privacy Law
• Personality Rights
• +2 more

Dr. Madhushi Bandara is a Lecturer at the School of Computer Science, University of Technology Sydney (UTS), specializing in knowledge representation, complex system modeling, and data analytics. She leads the data management research stream at the UTS DigiSAS lab and is a core member of the Biomedical Data Science Laboratory within the UTS Australian Artificial Intelligence Institute. Her industry collaborations include Telstra, Cancer Australia, and Capsifi, focusing on AI integration in healthcare and finance. She coordinates the Business Information Systems major in UTS's Master of Information Technology program and convenes the Future Generation Enterprise Architecture Community of Practice. Education PhD in AI Systems Engineering, University of New South Wales (2020) BSc (Hons) in Engineering, University of Moratuwa, Sri Lanka (2015) Research Interests Madhushi's work bridges machine learning, knowledge graphs, and enterprise architecture to address challenges in data governance for SMEs, ESG metric management, and healthcare pathway analysis. Her research emphasizes translating cutting-edge AI into industry solutions through contextual domain knowledge integration. Scientific Awards UNSW-UTS Trustworthy Digital Society Scholarship Teaching & Leadership She teaches enterprise information systems, digital strategy, and AI for enterprises in UTS's online postgraduate programs. Her service roles include co-chairing tracks at the Australasian Conference on Information Systems and reviewing for Expert Systems with Applications.

• Artificial Intelligence
• Machine Learning
• Knowledge Graphs
• +5 more

Professor Raja Jurdak is a leading academic in distributed systems and applied data sciences at Queensland University of Technology (QUT), where he directs the Trusted Networks Lab. He holds dual roles as Professor of Distributed Systems and Chair in Applied Data Sciences, alongside leadership in the Centre for Data Science. His research focuses on dynamic network modeling, blockchain-based trust frameworks, and IoT applications, with particular emphasis on cybersecurity, energy efficiency, and mobility-driven diffusion processes. Jurdak formerly led CSIRO's Distributed Sensing Systems Group and maintains a visiting scientist role there. Education: PhD in Information and Computer Science, University of California, Irvine MS in Computer Networks and Distributed Computing, University of California, Irvine BE in Computer and Communications Engineering, American University of Beirut Research Interests: Network science, blockchain technology, IoT security, sustainable energy systems, and data-driven decision-making. His work bridges theoretical advancements with practical applications in smart grids, health surveillance, and urban mobility. Awards: Finalist for the 2019 Eureka Prize, multiple CSIRO accolades, and IEEE Senior Member status. His research has received industry recognition for interdisciplinary innovation, including the DiNeMo project's real-time disease surveillance system. Advisory & Grants: Leads high-impact projects funded by government and industry partnerships. Supervises PhD candidates in areas like decentralized data processing and privacy-preserving AI. Holds editorial roles at journals such as Ad Hoc Networks and PLoS ONE . Labs & Teams: Directs the Trusted Networks Lab at QUT, fostering collaborations with institutions like Oxford University and MIT. His work emphasizes cross-disciplinary teams to address global challenges in cybersecurity and sustainable systems.

• Distributed Systems
• Blockchain Technology
• Network Modeling
• +7 more

Kevin Vinsen is a Senior Research Fellow at the University of Western Australia, working in the Data Intensive Astronomy (DIA) Program of the International Centre for Radio Astronomy Research (ICRAR) since 2009. He is also affiliated with the UWA Defence and Security Institute and holds an ORCID ID of 0000-0001-5332-3784. His work focuses on translating ICRAR software capabilities into practical industry applications across diverse domains. His research interests include: Peta-scale systems High-performance Computing Machine Learning applications in multiple fields Wave and weather forecasting Digital Assistive Technologies Agricultural applications of ML Large language models Vinsen heads the Translation and Impact work of the DIA team and leads the development of Machine Learning systems. His current projects include ML for wave forecasting on the NW shelf, wind and temperature forecasting, honey traceability and provenance, and digital assistive technology for people with disabilities. His work contributes to UN Sustainable Development Goals related to industry, oceans, agriculture, food, disability, and defense. His research output demonstrates a strong trend toward applying machine learning techniques to solve real-world problems across astronomy, environmental science, agriculture, and disability support. This interdisciplinary approach showcases the versatility of his computational expertise across scientific and social domains. Vinsen has an h-index of 11 with 621 citations across 33 research outputs. As the ICRAR/UWA Summer Studentship Co-ordinator, he mentors emerging researchers and contributes to building research capacity. His collaborative network spans multiple institutions and research areas, reflecting his ability to bridge academic research with practical applications.

• Machine Learning
• High-performance Computing
• Peta-scale systems
• +7 more

Professor Farookh Hussain is a distinguished academic at the School of Computer Science , University of Technology Sydney , specializing in Artificial Intelligence , Cloud Computing , and Software Engineering . His research spans diverse sectors including agriculture, manufacturing, healthcare, and transportation. Affiliated with the Australian Artificial Intelligence Institute (AAII) , he leads impactful work in business intelligence and carbon credit systems. Key research areas: AI applications, blockchain for provenance, carbon credit analytics Active in Masters/PhD supervision and cloud computing education Research Highlights : Developed KACINO framework for carbon dynamics modeling Created hybrid cybersecurity frameworks for supply chain risk management Advanced chatbot dialogue breakdown solutions through systematic reviews Proposed hypercomplex knowledge graph recommenders Published extensively on carbon credit price prediction and blockchain storage methods Contributions to water demand forecasting and collaborative robotics adoption Grant Activities : Secured funding from Hampton Capital Asset Management , Innovation Connections , and Science and Industry Endowment Fund Projects include LLM-driven text-to-SQL conversion , blockchain for melanoma data , and AI for storm water management

• Business Intelligence
• Cloud Computing
• Software Engineering
• +7 more

Dr. Carl Spandler is an Adjunct Associate Professor at James Cook University, specializing in geochemistry and petrology. His research focuses on Earth’s mantle evolution, basaltic magma formation, subduction zone processes, and the tectonic significance of rare earth element (REE) deposits. Current projects include studies on REE mobility in the crust, crustal evolution of NE Australia, and high-pressure metamorphic rocks. Key research themes include: Geochemical cycling of REEs and critical minerals Magmatic processes in continental arcs and ophiolites Ore genesis in volcanic and carbonatite systems He has led projects such as the 'Jurassic Arc' reconstruction of eastern Gondwana and investigations into the Rukwa Rift Basin’s magmatic history. His work combines field studies, isotopic analysis (U-Pb, Nd), and experimental petrology. Teaching involvement includes mentorship in geology, particularly in analytical techniques and mineral systems. Collaborations span institutions globally, including studies in Tanzania, Peru, and China. His publications emphasize methodological advancements in laser ablation ICP-MS and the application of detrital zircon data to tectonic reconstructions. Laboratory contributions include work on the Gifford Creek Carbonatite Complex and the Tommy Creek Domain, highlighting his focus on interdisciplinary approaches to crustal evolution and mineral resource exploration.

• Geochemistry
• Petrology
• Mantle Dynamics
• +6 more

Associate Professor Stijn Glorie is an academic at the University of Adelaide, affiliated with the School of Physics, Chemistry and Earth Sciences under the Faculty of Sciences, Engineering and Technology. He holds the rank of Associate Professor since 2021 and is an ARC Future Fellow (2022–2025). His research focuses on the thermo-tectonic evolution of continental crust using multi-method thermochronology, including apatite U-Pb, fission track, Lu-Hf, and Re-Os dating. He has led the development of novel in situ dating techniques and applied these methods to regions like Central Asia, Australia, Antarctica, and India. Glorie teaches courses in Tectonics and Sedimentary Geology and coordinates research projects involving geochronology and continental evolution. His work spans from fundamental geochronological method development to applied studies addressing mountain-building, basin formation, and mineralization processes. He has contributed to major infrastructure initiatives like the AuScope EarthBank and GPlates projects, supporting industry-academia collaboration in resource geoscience. Education: PhD in Geology, Ghent University, Belgium (2012) Postdoctoral Researcher, Ghent University (2012–2013) Research Interests: Continental crust evolution and tectonic history Innovative thermochronology methods (LA-ICP-MS/MS, beta-decay dating) Fluid-assisted metamorphic processes Provenance analysis of sediments and detrital minerals Awards: ARC Future Fellowship (2022–2025) Grants/Supervision: Eligible to supervise Masters and PhD students Coordinates industry-academia partnerships through AuScope initiatives Labs/Teams: Advances in laser ablation geochronology techniques Collaborations on global thermochronology datasets (e.g., AusGeochem platform)

• Thermo-tectonic evolution
• Continental crust
• Thermochronology
• +3 more