جست‌وجوی استاد و پژوهشگر

• Economic Geology
• Structural Geology
• Tectonics
• +۵ مورد دیگر

Associate Professor Ioan Sanislav is an academic at James Cook University (JCU), serving as Director of the Resources and Critical Minerals Trailblazer Projects. His research focuses on economic geology, structural geology, and tectonics with a particular emphasis on mineral deposit exploration, structural controls, and tectonic evolution. Current research interests include Proterozoic copper mineralization in northern Queensland, critical metals in NE Queensland, gold mineralization in the Archean Tanzania Craton, and REE/Nb/Ta mineralization in NE Egypt. He employs multidisciplinary approaches integrating geochemistry, field geology, and numerical modeling, collaborating closely with the mining industry on sponsored projects. Research Areas: Structural geology, metamorphic petrology, geochronology, and mineral exploration. Teaching: Lecture and coordinate Structural Geology and Tectonics (EA5211) at JCU. Projects: Lead initiatives like the North Queensland Proterozoic Metallogenesis and Critical Minerals Trailblazer Programs. Dr. Sanislav has advised numerous PhD students on topics such as ductile shear zones, sulfide mineral geochemistry, and seismic interpretations of mineral systems. He has authored over 60 peer-reviewed articles, with recent work emphasizing geochemical anomaly detection and crustal evolution studies. His collaborations with industry ensure applied relevance to resource exploration challenges.

• Artificial Intelligence
• Blockchain Technology
• Machine Learning
• +۷ مورد دیگر

Prof Jianming Yong is a Professor of Information Systems at the University of Southern Queensland's School of Business. His research focuses on AI-driven systems, blockchain technology, cybersecurity in telecommunications, and healthcare informatics. He holds an MEng from South East University and a PhD from Swinburne University of Technology. Research interests include: Artificial Intelligence applications in healthcare and finance Blockchain protocols for cross-industry solutions Data privacy in cloud computing and 5G networks Machine learning for medical diagnostics and treatment optimization Recent work explores causal learning with graph neural networks, UAV-enabled transportation systems, and ethical AI frameworks. His publications address challenges in decentralized finance (DeFi), multimodal logistics sustainability, and pandemic response systems integrating IoT/5G/AI. No scientific awards have been listed. His work spans theoretical advancements in cybersecurity and practical implementations in healthcare IT systems. Ongoing projects involve developing adaptive multi-agent systems for real-time healthcare interventions and secure blockchain applications in e-commerce.

• Hydrogeology
• Groundwater Hydrology
• Environmental Engineering
• +۳ مورد دیگر

Dr. Gabriel Rau is a Senior Lecturer at the University of Newcastle's School of Environmental and Life Sciences. He holds a PhD from the University of New South Wales and a Master's in Environmental Engineering from Universitat Stuttgart. His expertise spans geo-environmental science, hydrogeology, and advanced data analysis using Python. Rau's research focuses on subsurface processes, groundwater flow dynamics, and sustainable resource management. Education: Doctor of Philosophy (PhD), University of New South Wales Master of Environmental Engineering, Universitat Stuttgart Research Interests: Quantification of subsurface processes in coastal and arid environments Heat and solute transport in porous media Impact of climate change on groundwater systems Application of geophysical and numerical methods for hydrogeological analysis Collaborations and Grants: International projects with institutions like Karlsruhe Institute of Technology (KIT) and the University of New South Wales Focus on interdisciplinary approaches to hydrogeological challenges Development of novel analytical techniques for tidal and thermal groundwater responses Labs/Teams: Active in the University of Newcastle's hydrogeology research group, leading experimental and field-based studies.

• Data Engineering
• Big Data Analytics
• Cybersecurity
• +۷ مورد دیگر

Prof. Wenny Rahayu is the current Dean of the School of Computing, Engineering & Mathematical Sciences (SCEMS) at La Trobe University, Australia. Previously, she held leadership roles including Head of the Department of Computer Science and Information Technology (2012–2014) and Head of School for Engineering and Mathematical Sciences (2015–2021). Her research focuses on data engineering, cybersecurity, IoT systems, and predictive analytics, with over 300 publications and 7,500+ citations. She has led major grants from the Australian Research Council (ARC), industry partners like Airservices Australia, and international collaborations. Prof. Rahayu has supervised 30 PhD students, now working globally in academia and industry. Her work spans IoT security frameworks, privacy preservation, and smart manufacturing solutions. Research Highlights: Data Integration & Optimization Cybersecurity for IoT and Cloud Environments Predictive Maintenance in Industry 4.0 Privacy-Preserving Technologies Adaptive Learning Systems Grants & Collaborations: ARC Industry Linkages and International Grants (Open Geospatial Consortium, Japan JSPS) Industry Partners: IPL, CSIRO, Army Research Victorian Government Technology Innovation Programs Awards & Roles: Appointed as Lead Assessor for New Zealand MBIE Endeavour Fund (2019–present). Recognized for contributions to data science and interdisciplinary research. Labs & Teams: Leads cross-disciplinary teams in SCEMS focusing on IoT, cybersecurity, and smart systems. Collaborates with global partners on industrial and health-related projects.

• Spatial Data Science
• Database Management
• Big Data
• +۳ مورد دیگر

Dr. Kiki Adhinugraha is a Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Melbourne, Australia. He holds a PhD in Information Technology from Monash University and is certified as an Oracle 11g OCA DBA. His research focuses on Spatial Data Science, Database Management, and Big Data applications, particularly in GIS, spatial query processing, and spatial crowdsourcing. He teaches courses such as Programming Environment, Cloud-based Web Applications, and Database Fundamentals. His academic contributions span geospatial accessibility analysis, machine learning applications in public health (e.g., tracking pandemic impacts), and optimizing video compression and network scheduling. He has published widely on spatial data structures, including Voronoi diagrams for IoT networks and trajectory analysis. Notable works include studies on education accessibility in Melbourne and AI-driven approaches for analyzing ALS comorbidity trajectories. Teaching responsibilities include programming, web development, and database management courses. His research often bridges theoretical computing with practical applications in urban planning, transportation systems, and healthcare analytics. He collaborates on interdisciplinary projects combining GIS, machine learning, and data-driven methodologies.

Erin Petersonمشاهده پروفایل

دانشیار مدعو

• Environmental Monitoring
• Spatial and Temporal Statistics
• Geographic Information Science (GIS)
• +۳ مورد دیگر

Dr. Erin Peterson is an Adjunct Associate Professor at Queensland University of Technology (QUT), affiliated with the Faculty of Science, Tier 1 Research Centre - Science (U91), and the Centre for Data Science. She is also an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) and the owner of EP Consulting in Brisbane. With over 20 years of experience, her work bridges natural resource management, GIS, and environmental statistics, focusing on innovative environmental monitoring using new technologies like in situ sensors and citizen science. Education: B.S. in Conservation Forestry (Michigan State University), M.S. and Ph.D. in Earth Resources (Colorado State University). Prior roles include Senior Research Scientist at CSIRO and leader of the Environmental & Agricultural Informatics team. Research interests include spatio-temporal modeling, adaptive monitoring frameworks, and integrating diverse datasets for ecological assessments. Key projects involve virtual reality for conservation modeling, jaguar population studies, and Great Barrier Reef monitoring. She teaches spatial statistical modeling courses and develops tools to make complex methodologies accessible to non-statisticians. Grants include leadership in Agri-Intelligence for Cotton Production and sustainability reporting projects. Collaborations span government, industry, and international institutions.

• Computer Science
• Information Security
• Wireless Sensor Networks
• +۵ مورد دیگر

Dr. Jarrod Trevathan is a researcher at James Cook University, with a career spanning computer science, environmental monitoring, and information security. His work focuses on wireless sensor networks, virtual research environments, and online auction systems. He has collaborated extensively with colleagues like Trina Myers and Wayne Read. Research Highlights: Developed auction-based protocols for sensor network resource allocation Created middleware platforms for heterogeneous sensor integration Built Web2.0 disaster response systems (Riskr) Contributed to semantic enablement of virtual research environments Explored behavioral aspects of online auction fraud Teaching Innovations: Applied process-oriented guided inquiry learning to large IT courses Integrated active learning techniques for online ICT education

Zahir Tariمشاهده پروفایل

استاد

• Computer Science
• Cybersecurity
• Cloud Computing
• +۴ مورد دیگر

Prof. Zahir Tari is a leading international expert in Computer Science, currently serving as a Professor at the School of Computing Technologies at RMIT University. He holds a prominent role as Research Director of the Centre of Cyber Security Research and Innovation (CCSRI) and has been appointed to the ARC College of Experts (2022-2024). Research Interests : Prof. Tari specializes in designing innovative solutions for large-scale systems including Cloud, Edge, and IoT environments, with particular emphasis on cybersecurity, performance optimization, and reliability of critical systems like SCADA and Smart Grids. His work integrates mathematical models with computational approaches to address complex security and scalability challenges. Research Trends : Recent publications highlight his leadership in blockchain-based energy trading privacy, cross-domain access control systems, IoT security frameworks, and federated learning approaches for vulnerability detection. His work combines theoretical rigor with practical implementations in domains ranging from healthcare to military applications. Scientific Recognition : Member, ARC College of Experts (2022-2024) Supervision & Funding : Prof. Tari has successfully supervised 31 PhD students to completion and secured over AUD 21 million in research funding through prestigious grants including an ARC Research Hub, CRC-P, multiple ARC Discovery Projects, and industry partnerships with organizations like Siemens. His research has produced 279 publications with an h-index of 49 and over 10,800 citations.

• Complex Systems Theory
• Dynamical Systems Theory
• Complex Networks
• +۷ مورد دیگر

Michael Small is a Professor and the CSIRO-UWA Chair of Complex Systems at the University of Western Australia (UWA), holding dual appointments with UWA’s Faculty of Engineering and Mathematical Sciences and CSIRO’s Mineral Resources division. As Director of the UWA Data Institute, he leads research in complex systems theory and dynamical systems, with applications to health, mining, and energy infrastructure. His academic roles include Deputy Editor-in-Chief of Chaos and Editor of Physica A . He holds a PhD in Applied Mathematics (UWA, 1998) and a BSc(Hons) in Pure Mathematics (UWA, 1994). His research focuses on mathematical modeling of complex systems, including disease transmission networks, mental health dynamics, and industrial process optimization. Notable projects include the Transforming Indigenous Mental Health & Wellbeing initiative and collaborations with mining giants like BHP and Rio Tinto. His awards include the V. Afraimovich Award (2022) and UWA Senior Research Award (2016). Recent work spans reservoir computing, network science, and epidemic modeling, with 354 publications and leadership in 18 grants. His interdisciplinary approach bridges academia and industry, addressing challenges in data-driven decision-making and sustainability.

Michael Douglasمشاهده پروفایل

استاد

• Freshwater Ecology
• Tropical Ecosystem Management
• Environmental Science
• +۳ مورد دیگر

Michael Douglas is a Professor at the UWA School of Agriculture and Environment, leading major research initiatives such as the TRaCK consortium and the National Environmental Science Program's Northern Australian Environmental Resources Hub since 2016. He previously held roles at Charles Darwin University (CDU) from 1995 to 2005, focusing on ecology and environmental science lectureships before transitioning to research leadership. His academic background includes a BSc and Honours in freshwater ecology from Monash University, followed by a PhD in catchment fire management's effects on intermittent streams. Education: Bachelor's degree at Monash University Honours in Freshwater Ecology (supervisor: Sam Lake) PhD on catchment fire management at Monash University (1991) Research interests center on tropical ecosystems' ecology and management, particularly catchment practices like fire, forestry, and water management's impact on freshwater systems. Collaborations include Griffith University, CDU, James Cook University, and CSIRO, with government partnerships emphasizing ecological and cultural sustainability. He focuses on integrating Indigenous knowledge with scientific approaches, working with Traditional Owners in the Daly River region for over a decade. Grants and Projects: Hub Leader of NESP Northern Australian Environmental Resources Hub (2016–2027) Director of NERP Northern Australia Hub (2011–2016) Led TRaCK consortium (2006–2011) Scientific Awards: School of Agriculture and Environment Senior Research Award (2023) Best Collaboration in NRM (2020) Research in NRM Award (2020) His work emphasizes inclusive practices, combining ecological data with Indigenous stewardship frameworks, and addressing environmental policy challenges in northern Australia's water management and invasive species control.

Nur Haldarمشاهده پروفایل

پژوهشگر ارشد

• Data Science
• Social Network Analysis
• Graph Analytics
• +۳ مورد دیگر

Nur Haldar is a Research Fellow at The University of Western Australia (UWA), Australia, where he also earned his Ph.D. in Data Science. He previously held roles as an Associate Lecturer at UWA, a Researcher at King Saud University (Saudi Arabia), and a Senior Software Engineer at Mahindra Comviva Technologies (India). His research focuses on Data Science, Social Network Analysis, Graph Analytics, Cyber Security, and Deep Learning. Ph.D. in Computer Science (2021) from UWA, supported by CSIRO. Postgraduate Researcher at CSIRO Data61 (2018–2021). Research interests include optimizing location-based social networks, debiasing recommendation systems, dynamic network analysis, and entity alignment using pre-trained models. He has contributed to 27 research outputs, including peer-reviewed articles in IEEE Transactions and the ACM Web Conference. Notable awards: Third Prize in Alpha Innovation Contest (2018), Travel Award (2020), CSIRO Data61 Scholarship (2018). Engagement includes organizing The Web Conference 2023, serving on CIKM 2022 review panels, and contributing to curriculum development in data science.

Sidong Liuمشاهده پروفایل

پژوهشگر ارشد

• Health Informatics
• Artificial Intelligence in Healthcare
• Medical Imaging Analysis
• +۵ مورد دیگر

Dr. Sidong Liu is a Senior Research Fellow at Macquarie University's Australian Institute of Health Innovation (AIHI), leading the Translational AI for Healthcare research stream. He holds a Bachelor's in Bioinformatics from Harbin Institute of Technology (C9 League) and dual Master's degrees in Bioinformatics and Computer Science from the University of Sydney. His PhD research, supported by the USYD International Scholarship, focused on health informatics and AI under Professors Tom Cai and David Feng. He spent time at Harvard Medical School's Surgical Planning Lab (SPL) as a research trainee under Prof. Ron Kikinis. Liu has been recognized with prestigious awards, including the 2021 Macquarie Early Career Researcher Award and the AIHI Researcher of the Year Award. His research focuses on AI-driven solutions in healthcare, particularly neuroimaging, medical image analysis, and translational AI applications. Current projects include Quantum MEG Scanner design, AI advisories for health professionals, and AI-driven cancer models. He has authored over 140 publications and actively participates in organizing conferences like the International Conference on Nano Bio Intelligence and Emerging Researchers in Health Informatics Symposium. Key research interests include deep learning for medical imaging, brain tumor diagnostics, and computational neurosurgery. His work bridges AI innovation with clinical practice, emphasizing translational impact in healthcare.

David McAlpineمشاهده پروفایل

استاد

• Auditory Neuroscience
• Cochlear Implants
• Hearing Loss
• +۳ مورد دیگر

David McAlpine is a Professor and Academic Director of Macquarie University Hearing at the Department of Linguistics Hearing CRC Hearing Research Centre, Macquarie University. His research focuses on auditory neuroscience, cochlear implants, and the neural mechanisms underlying hearing and perception. Research Interests : McAlpine’s work explores auditory spatial processing, cochlear implant technology, hidden hearing loss, and the interplay between auditory perception and neurodevelopmental disorders like autism. He investigates how the brain adapts to acoustic environments and processes interaural cues for spatial localization. Recent Research Trends : Recent articles highlight advancements in cochlear implant electroporation, neural coding of auditory cues, and the impact of auditory environments on quality of life in autism. McAlpine’s projects often involve interdisciplinary collaborations, such as the PRISM initiative for sensor-based interaction difficulty analysis and studies on cortico-subcortical feedback circuits. Grants & Collaborations : McAlpine leads projects funded by Hearing CRC and other bodies, including studies on central gain mechanisms, transcranial magnetic stimulation, and translational outcomes for balance function. His work bridges basic neuroscience with clinical applications, particularly in hearing restoration and rehabilitation. Labs & Teams : As Academic Director, he oversees the Hearing Research Centre, fostering innovation in auditory neuroscience and biomedical engineering. His team collaborates internationally, addressing challenges in hearing loss and sensory perception.

• Cryptography
• Machine Learning
• Database Systems
• +۳ مورد دیگر

Michael Brand is an Adjunct Professor at RMIT University's School of Computing Technologies. His research focuses on cryptography, privacy-preserving technologies, machine learning, and algorithm design. Key areas include zero-knowledge proofs, secure financial systems like FinTracer, and computational theory. His work bridges theoretical foundations with practical applications in data security and real-time processing systems. Research interests span advanced cryptographic protocols, privacy-enhancing machine learning techniques, and distributed computing paradigms. Notable contributions include innovations in blockchain tracing mechanisms and foundational work in statistical estimation theory. He actively publishes in top-tier venues, addressing challenges in secure computation, network analysis, and database systems. Collaborations emphasize interdisciplinary solutions to modern computational and security challenges.

Sapan Tiwariمشاهده پروفایل

پژوهشگر ارشد

• Transport Modelling
• Agent-Based Modelling
• Sustainable Transportation
• +۶ مورد دیگر

Dr. Sapan Tiwari is a Research Fellow at the Centre for Urban Research, School of GUSS at RMIT University, Australia. He holds a Ph.D. in Transport Modelling from the University of Melbourne and a Master of Technology in Transportation Engineering from IIT Guwahati, India. His work focuses on sustainable urban mobility, agent-based modelling, and integrating shared autonomous fleets with public transport. Education: Ph.D. in Transport Modelling, University of Melbourne (Australia) M.Tech. in Transportation Engineering, IIT Guwahati (India) B.Tech. in Civil Engineering, University College of Engineering, RTU Kota (India) Research Interests: His expertise includes agent-based modelling, active mobility strategies, shared autonomous vehicles, and sustainable transport systems. He contributes to UN Sustainable Development Goal 11 (Sustainable Cities and Communities) through projects like cycling infrastructure impact analysis and public transport optimization. Recent work emphasizes rebalancing strategies for autonomous fleets and ride-hailing integration with public transit. Collaborations: Open to collaborative projects in transport modelling and urban sustainability. Previously held visiting researcher roles at IIT Roorkee (2025) and junior fellowships at IIT Kharagpur (2019). Labs/Teams: Active in the Centre for Urban Research at RMIT, focusing on innovative urban mobility solutions.