جست‌وجوی استاد و پژوهشگر

Daniel Catchpooleمشاهده پروفایل

استاد

• Childhood Cancer Research
• Genomics
• Biomedical Data Science
• +۶ مورد دیگر

Professor Daniel Catchpoole serves as Deputy Head of School (Research) at the School of Computer Science, University of Technology Sydney (UTS), holding dual appointments at UTS and The Children's Hospital at Westmead. With over 20 years of research experience, he bridges computational sciences and pediatric cancer research through the Biomedical Data Science Lab in the Australian Artificial Intelligence Institute. His work integrates data analytics, artificial intelligence, and software development with molecular cancer biology to transform pediatric cancer treatment pathways. PhD in Cancer Cell Biology, University of New South Wales (1991-1995) Founding Fellow, Royal College of Pathologists Australasia (2010-present) Head, Children's Hospital at Westmead Tumour Bank (2001-present) Professor Catchpoole's research focuses on translational applications of genomics in childhood cancers, particularly acute lymphoblastic leukemia and neuroblastoma. His work combines high-throughput genomic technologies with advanced computational analysis to develop systems biology approaches for cancer patient assessment. Recent projects explore virtual reality applications for complex genomic data visualization and copper chelation therapies to enhance neuroblastoma immunotherapy. His research has received significant funding from Cancer Institute NSW, Sony Foundation, ARC, and NHMRC. His publication record spans biomedical data science, cancer genomics, and virtual reality applications in oncology. Recent work demonstrates leadership in 3D latent diffusion models for tumor segmentation, biobank economics, and innovative immunotherapies. His research consistently addresses the critical need for actionable knowledge from complex multidimensional biomedical data. Editorial Board Member, Cancers (2023) Associate Editor, Innovations in Digital Health, Diagnostics and Biomarkers (2019) Founding member and first President, Australasian Biospecimens Network Association Professor Catchpoole has supervised 17 Honours students (including 6 First Class Honours), 3 MSc students, and 12 PhD candidates across multiple institutions, with 6 current PhD students. His collaborative research bridges UTS's Faculty of Engineering and IT with The Children's Cancer Research Unit at The Children's Hospital at Westmead. Significant research funding includes Cancer Institute NSW grants, Sony Foundation VR projects, and ARC Discovery Projects focused on genomic data analysis and clinical decision support systems. His leadership extends to building frameworks for translational research, managing biobanks and clinical data linkages, and navigating governance requirements for cancer research. The Tumour Bank at Kids Research, CCRU, represents his long-standing commitment to pediatric cancer infrastructure development.

• Structural Engineering
• Structural Health Monitoring
• Civil Engineering
• +۳ مورد دیگر

Dr. Andy Nguyen is a Senior Lecturer in the School of Engineering at the University of Southern Queensland. He holds a PhD from Queensland University of Technology (QUT), an MEng from the National University of Civil Engineering (NUCE), and a BEng from NUCE. His research focuses on structural health monitoring, integrating machine learning and deep learning techniques to assess infrastructure integrity. Key areas include damage detection in bridges, pavements, and buildings, as well as sustainable construction materials like bamboo. Nguyen leads projects such as the 'Next Generation Living Laboratory for Engineering Education and Engagement,' emphasizing real-world applications of technology in civil infrastructure. His work spans crack detection algorithms, finite element model updating, and vibration-based structural analysis. He collaborates on AI-driven solutions for autonomous vehicle object detection and smart maintenance planning. Nguyen’s contributions include over 50 peer-reviewed publications and active supervision of postgraduate research in composite materials and transport infrastructure. His research outputs highlight advancements in computational mechanics, sensor technologies, and data-driven methods for infrastructure resilience. Nguyen’s expertise bridges civil engineering challenges with cutting-edge machine learning, advancing both theoretical and applied solutions for sustainable and safe structures.

Anton Didenkoمشاهده پروفایل

دانشیار

• Banking and Finance Law
• FinTech Regulation
• Central Bank Digital Currencies (CBDC)
• +۵ مورد دیگر

Associate Professor Anton Didenko is a leading academic at UNSW Sydney's School of Private & Commercial Law, specializing in FinTech regulation, banking law, and central bank digital currencies (CBDC). He holds law degrees from Russia and the UK, including an MJur and DPhil from the University of Oxford. His research focuses on CBDC design, regulatory sandboxes, open banking frameworks, and cybersecurity in finance. University Affiliation: UNSW Sydney Key Academic Roles: Author of Banking Law in Australia (11th ed, 2024) and lead author of Customer Data Sharing Frameworks (2024) Global Engagement: Adviser to G20, Asian Development Bank, and UN agencies Research Interests: - CBDC policy and design implications - Regulatory frameworks for FinTech innovation - Cybersecurity in financial systems - Transnational commercial law and secured transactions - Open data and customer consent mechanisms Recent Articles: Focus on CBDC adoption in Pacific economies, weaponization of digital currencies in geopolitical conflicts, and comparative analysis of blockchain liabilities. His work bridges legal, technological, and policy dimensions of financial innovation. Awards : Australian Academic of the Year in Digital Finance (2023) Advising & Grants: - No listed advisees - Collaborations include Asian Development Bank-funded Pacific CBDC studies - Co-authored policy reports for UN Capital Development Fund and CPA Australia Labs/Teams: - Editor-in-Chief of the Cape Town Convention Journal - Co-leader of UNSW's FinTech regulation research initiatives

Huadong Moمشاهده پروفایل

مدرس ارشد

• Power and energy systems
• Cyber-physical systems
• Manufacturing systems
• +۶ مورد دیگر

Dr. Huadong Mo is a Senior Lecturer at the School of Systems and Computing, University of New South Wales (UNSW) Canberra, Australia. He holds a B.E. degree in automation from the University of Science and Technology of China (2012) and a Ph.D. in systems engineering and engineering management from the City University of Hong Kong (2016). Prior to his current position, he was a research associate at ETH Zurich's Reliability and Risk Engineering Lab (2016-2019) and a Lecturer at UNSW Canberra (2019-2021). Dr. Mo's educational background includes a strong foundation in systems engineering with international experience across China, Switzerland, and Australia. His career trajectory demonstrates a progression from academic research to faculty positions with increasing responsibilities in teaching and research leadership. His research focuses on enhancing the resilience, performance, and security of complex systems using learning-based algorithms, primarily in power and energy systems, cyber-physical systems, and manufacturing systems. He applies data analytics to understand system evolution under uncertainties, with particular emphasis on prognostics and health management, sustainable transportation, robust operation of power systems under extreme events, and reinforcement learning-based asset management. His work bridges theoretical advances with practical applications in critical infrastructure. Analysis of Dr. Mo's recent publications reveals a strong focus on energy systems, particularly in the integration of machine learning with power grid management, battery storage systems, and resilience against cyber threats. His research shows a clear trajectory toward increasingly complex system integration, with growing emphasis on multi-vector energy communities, cross-domain prediction, and uncertainty-aware energy management. The interdisciplinary nature of his work spans electrical engineering, computer science, and operations research. 2024 IEEE SMC Early Career Award 2023 Visiting Research Fellowship (Jean d'Alembert Pour Fellowship) Gold Medal in 2024 China International College Student Innovation Competition (as supervisor) Arc PGC Supervisor Award (2021) IEEE SMC Outstanding Chapter Award (2021) Alumni Achievement Award from City University of Hong Kong (2019) Dr. Mo actively supervises numerous HDR students working on cutting-edge research topics including battery health monitoring, quantum control, reinforcement learning for power systems, and explainable AI for energy management. He leads multiple significant research grants totaling over 3 million AUD, including projects funded by ARC, Energy Innovation Fund, and international collaborations with institutions like ETH Zurich, Cambridge, and Tsinghua University. His research group maintains strong international connections, facilitating student exchanges and collaborative research. As Postgraduate Course Coordinator of Systems Engineering and Chair of IEEE SMC ACT Chapter, Dr. Mo plays a significant role in academic leadership and professional community building. His research team collaborates with industry partners on practical implementations of their theoretical work, particularly in the energy sector.

• Corporate Sustainability
• Corporate Innovation
• Data Analytics
• +۴ مورد دیگر

Yanglan Zu serves as a Lecturer in Accounting within the College of Business, Government and Law at Flinders University, bringing expertise from her PhD studies at the University of Technology Sydney. Her academic profile is anchored in interdisciplinary research bridging accounting principles with contemporary business challenges. Her educational foundation includes: PhD in Accounting, University of Technology Sydney Undergraduate Honours degree (institution unspecified) Research interests center on corporate sustainability and innovation , with growing emphasis on data analytics applications in accounting. Her work demonstrates consistent alignment with UN Sustainable Development Goals, particularly through investigations into climate change impacts on corporate behavior and FinTech's labor market effects. Current projects explore the intersection of environmental pressures, digital transformation, and governance structures. Recent publications reveal strong thematic cohesion around sustainable business practices, with notable emphasis on climate-related corporate responses and digital finance implications. The 2024-2025 research grant from AFAANZ supports ongoing work in these priority areas. Award highlights: 2024 EFMA Corporate Finance Best Paper Award for governance research 2024 UTS Vice-Chancellor's Learning and Teaching Citation 2024-2025 AFAANZ Research Grant funding As an educator, she coordinates advanced FinTech courses (BUSN8010 and BUSN1023) with a student-centered philosophy emphasizing analytical thinking and practical technology applications. Her teaching methodology actively incorporates digital tools to foster inclusive learning environments, reflecting her research interests in technological disruption.

• Graph Analytics
• Graph Mining
• Graph Algorithms
• +۳ مورد دیگر

Dr. Lijun Chang is an Associate Professor in the School of Computer Science at the University of Sydney. He holds an ARC Future Fellowship (2019–2022) and an ARC DECRA Fellowship (2015–2017). Previously, he was at the University of New South Wales. His research focuses on graph analytics, mining, algorithms, and network science. He teaches courses like INFO5011 (Competitive Programming), COMP5313 (Large Scale Networks), and COMP9120 (Database Management Systems), and coaches the USYD Programming Competition Teams. Education: B.Eng. in Computer Science & Technology from Renmin University of China; PhD from the Chinese University of Hong Kong. Research highlights include scalable graph processing systems (e.g., ScaleG), densest subgraph detection, and graph similarity search. He leads projects funded by ARC grants such as 'Advanced Search of Cohesive Subgraphs in Big Graphs' (2018) and 'Directionality-Aware Cohesive Subgraph Search' (2022). His work emphasizes efficient algorithms for large-scale networks and graph databases. Awards : ARC Future Fellow, ARC DECRA Fellow Students : Yu KONG, Rashmika MATHTHAKA GAMAGE, Mouyi XU Labs/Teams : Focuses on graph algorithms and systems research, contributing to open-source tools and large-scale network analysis.

Shunichi Ishiharaمشاهده پروفایل

استاد

• Forensic Voice/Text Comparison
• Computational Linguistics
• Intonational Modelling
• +۶ مورد دیگر

Shunichi Ishihara is a Professor at the School of Culture, History & Language, The Australian National University, where he leads research in forensic linguistics and computational linguistics. His work focuses on forensic text and voice comparison, authorship attribution, and Japanese linguistic studies. He holds qualifications including a PhD (ANU), MSc (Macquarie), MA (ANU), and BEd (Shizuoka). Research Interests: Forensic Voice/Text Comparison Computational Linguistics Intonational Modelling Japanese Language Processing Stylometric Analysis Research Trends: Recent work emphasizes likelihood ratio-based systems for authorship verification, fusion of acoustic and text features for forensic analysis, and applications of deep learning in text evidence evaluation. His studies often explore cross-lingual comparisons (e.g., Japanese, English, Vietnamese) and system validation methodologies. Grants & Projects: "Likelihood project on author recognition" (2024-2026) "Big Australian Speech Corpus" (2010-2015) Multiple forensic voice/text comparison initiatives Labs & Teams: Director of the Speech and Language Lab, collaborating on speech corpus development and forensic linguistic systems.

Stuart Phinnمشاهده پروفایل

استاد

• Earth Observation
• Remote Sensing
• Environmental Monitoring
• +۶ مورد دیگر

Professor Stuart Phinn is a distinguished academic at the University of Queensland, serving as Professor in the School of the Environment and Centre Director of the Remote Sensing Research Centre (Earth Observation Research Centre). He also maintains affiliations with the Centre for Marine Science. With a career spanning over two decades, Professor Phinn has established himself as a leading expert in earth observation and environmental monitoring, with over 559 publications including 295 journal articles. His educational background includes a Bachelor (Honours) of Science (Advanced) from The University of Queensland and a Doctor of Philosophy from San Diego State University. Professor Phinn's leadership extends to founding directorships of Australia's national earth observation coordination body (www.eoa.org.au) and collaborative research infrastructure (www.tern.org.au), as well as a world-leading research-to-operational program supporting government environmental monitoring (www.jrsrp.org.au). He also leads the Earth Observation for Government Network. Professor Phinn's research focuses on monitoring environmental change using earth observation and field data. His work primarily involves using images collected from satellites and aircraft, combined with field measurements, to map and monitor Earth's environments and how they change over time. This research is conducted in collaboration with environmental scientists, government agencies, NGOs, and private companies. A growing aspect of his work focuses on national coordination of earth observation activities and the collection, publishing, and sharing of ecosystem data. His work provides solutions to support sustainable development and resource use for governments, industries, and communities. His recent publications demonstrate a consistent focus on applying earth observation technologies to solve environmental challenges across multiple domains. The 15 most recent articles reveal strong themes in coral reef mapping and monitoring, land cover change detection, fire resilience analysis, and advanced remote sensing techniques including multi-sensor fusion and machine learning applications. His work spans terrestrial, coastal, and marine environments, with significant contributions to understanding environmental change in Australia and internationally, particularly in Indonesia. Professor Phinn has secured substantial research funding from diverse sources including government agencies (Queensland Government, Great Barrier Reef Marine Park Authority), industry partners (SmartSat CRC, Blue Economy CRC), and international organizations (Google Inc, Vulcan Inc). Current projects include evaluating impacts of threats to endangered reptiles, automating tree-scale vegetation structure monitoring, and continuing the Joint Remote Sensing Research Program. As an academic supervisor, Professor Phinn has mentored numerous PhD and Master's students, with current supervision spanning topics from forest disturbance analysis to kelp forest mapping and fire resilience of mine site rehabilitation. His extensive supervision history demonstrates his commitment to training the next generation of earth observation scientists. The Earth Observation Research Centre he directs fosters a collaborative research environment focused on transforming satellite and airborne images with field survey data into meaningful environmental information for decision-making.

Sungyong Ahnمشاهده پروفایل

مدرس

• Digital Ontology
• New Materialism
• Speculative Capitalist Realism
• +۸ مورد دیگر

Dr. Sungyong Ahn is a Lecturer in Digital Media and Cultures at the School of Communication and Arts, University of Queensland, and an affiliate of the Centre for Digital Cultures & Societies. His research focuses on digital ontology, new materialism, and speculative (capitalist) realism, examining how smart technologies reshape human perception and governance. He holds a PhD in Media Studies from the University of Illinois at Urbana-Champaign. Education: Bachelor of Philosophy (Yonsei University), Master of Film and Television (Chung-Ang University), PhD in Media Studies (UIUC). His research investigates the interplay between technology, capitalism, and cultural production, particularly through the lens of the Internet of Things (IoT), quantum physics as cultural imagination, and French philosophy (Foucault, Deleuze, Badiou). Recent work includes analyzing IoT’s role in self-governance and the ontological anxieties of digital existence. Publications span journals like Media Theory , Journal of Cultural Economy , and Postmodern Culture . He is the author of Internet-ontologies-Things: Smart Objects, Hidden Problems, and Their Symmetries (2023). Available for supervision in media studies, digital cultures, and science/technology studies. Active in interdisciplinary collaborations, including the Centre for Digital Cultures & Societies.

• Large deformation FE analysis of soils
• Soil–structure interaction
• Offshore foundation systems
• +۷ مورد دیگر

Yuxia Hu is a Professor at the University of Western Australia, affiliated with the School of Engineering (Civil, Environmental and Mining Engineering) and the School of Social Sciences, Planning and Transport Research Centre. Her research focuses on geotechnical engineering, particularly in large deformation FE analysis, offshore foundation systems, and soil-structure interaction. She has contributed to advancements in suction caissons, plate anchors, and computational mechanics, with applications in offshore wind energy and infrastructure stability. Research Interests: Large deformation FE analysis of soils, soil-structure interaction, offshore foundation systems, soil mechanics, and pavement engineering. Awards: Telford Premium, British Geotechnical Association Prize, and Significant Junior/Senior Paper Award. Grants: Leads projects on offshore anchors, carbon capture in pavements, and road maintenance optimization. Her work addresses challenges in geotechnical design and sustainable infrastructure, with a focus on numerical modeling and experimental validation. Collaborations span academia and industry, emphasizing practical solutions for complex soil-structure systems.

Guoyin Liمشاهده پروفایل

استاد

• Optimization
• Variational Analysis
• Multilinear Algebra
• +۵ مورد دیگر

Professor Guoyin Li is a faculty member at the School of Mathematics & Statistics , University of New South Wales (UNSW Sydney). He holds a Ph.D. from The Chinese University of Hong Kong (2007) and has been at UNSW since 2011, currently serving as Professor and Research Director. Research Interests His work spans optimization , variational analysis , and multilinear algebra , with applications in robust optimization , structural engineering , and machine learning . He specializes in nonconvex nonsmooth optimization , tensor eigenvalue problems , and exact semi-definite programming relaxations . Recent Publications His articles focus on robust optimization for structural design, nonlinear approximation techniques, and conic programming for uncertain data. Key journals include Foundations of Computational Mathematics , Mathematical Programming , and Computer Methods in Applied Mechanics and Engineering . Awards and Grants Fellow of the Australian Mathematical Society (2023) 2022 AustMS Medal 2024 Marguerite Frank Award ARC Discovery Grants (2021-2023, 2025-2027) ARC Research Hub Project (2017-2021) Professional Roles He serves on editorial boards of SIAM Journal on Optimization , Optimization Letters , and Journal of Optimization Theory and Applications , and has delivered plenary lectures at international conferences in Austria, Spain, and Canada.

• Ocean Renewable Energy
• Robotics
• Biomechanics
• +۲ مورد دیگر

Dr. Boyin Ding is an Associate Professor at the University of Adelaide , serving as Academic Director at Haide College and researcher in the Mechanical Engineering department within the Faculty of Sciences, Engineering and Technology. He leads the Wave Energy Research initiative established in 2014, while also contributing to Robotics and Biomechanics through his work with the Flinders Medical Device Research Institute. Research Areas: Ocean Wave Energy Harvesting Control Systems for Renewable Energy 6DOF Robotic Testing Spine Biomechanics Transnational Education Programs Key Collaborations: Australia-China Joint Research Centre for Offshore Wind & Wave Energy Acoustics, Vibration and Control Research Group Scientific Awards: Australian Endeavour Fellowship Malcolm Kinnaird Engineering Excellence Award (2012) His recent publications focus on hybrid offshore energy systems, nonlinear hydrodynamics in wave energy converters, and biomechanical testing technologies. He has developed control algorithms for floating offshore wind-wave systems and pioneered 6DOF robotic platforms for medical applications. As an eligible PhD supervisor, he actively collaborates with global industries and academic institutions.

• Fluid Mechanics
• Environmental Fluid Dynamics
• Industrial Fluid Dynamics
• +۳ مورد دیگر

Professor Steven Armfield is a faculty member at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering. He holds a BSc in Applied Mathematics from Flinders University and a PhD from the University of Sydney. His research focuses on fluid mechanics, particularly buoyancy-driven flows, computational modeling, and thermal convection in environmental and industrial contexts. He has led major projects on river management strategies, building ventilation systems, and large-scale fluid dynamics models. As FluD Director, he leads fluid dynamics research initiatives. Education: BSc Applied Mathematics, Flinders University PhD, University of Sydney Research Interests: Professor Armfield's work spans computational fluid dynamics (CFD), natural convection boundary layers, turbulent mixing in stratified flows, and heat transfer applications. His studies address environmental challenges (e.g., river stratification) and engineering systems (e.g., HVAC efficiency). He employs experimental, theoretical, and numerical methods to advance understanding of complex fluid behaviors. Publications: His recent work emphasizes parameterization of turbulent flows, buoyancy effects in stratified systems, and scaling laws for natural convection. Key themes include improving predictive models for environmental and industrial fluid dynamics. Awards: Australian National Research Fellowship Stanford University UPS Visiting Professorship Saitama University Visiting Scholarship Shundoh International Foundation Research Scholarship Advising & Grants: Supervises PhD students in topics like urban fluid dispersion and Navier-Stokes solvers. Secured funding for projects involving CFD analysis of data centers and thermal stratification in open channels. Labs/Teams: Led the School of Aerospace, Mechanical and Mechatronic Engineering (2008–2015) and currently directs the Fluid Dynamics (FluD) research group.

Ida Asadi Somehمشاهده پروفایل

دانشیار

• Business Analytics
• Artificial Intelligence
• Big Data
• +۷ مورد دیگر

Associate Professor Ida Asadi Someh is affiliated with the UQ Business School at The University of Queensland and serves as a research affiliate at the Centre for Information Systems Research (CISR) , MIT Sloan School of Management. She completed her PhD at The University of Melbourne in 2015, receiving the best PhD thesis award from the Melbourne School of Engineering and the Vice Chancellor’s PhD Prize . Her research spans business analytics , artificial intelligence , and data governance , focusing on the organizational and societal impacts of data and AI. Key areas include ethics of AI , privacy , accountability , and synergy in analytics systems . Recent publications highlight generative AI in business transformation, algorithmic fairness in public welfare systems, and data governance frameworks for ethical AI. Her work addresses digital transformation in both corporate and public sectors. Scientific awards include the best PhD thesis and Vice Chancellor’s PhD Prize at The University of Melbourne. She supervises PhD and Master’s students in data-driven organizations , privacy-preserving AI , and sepsis management through data .

Spiridon Ivanov Penevمشاهده پروفایل

استاد

• Wavelet Methods in nonparametric curve estimation
• Edgeworth expansions and Saddlepoint Approximation Methods
• Structural Equation Models
• +۸ مورد دیگر

Professor Spiridon Ivanov Penev is a leading academic in the School of Mathematics and Statistics at the University of New South Wales. He holds a PhD in Mathematical Statistics from Humboldt University (Berlin, Germany) and has been affiliated with UNSW since 1992, progressing from Lecturer to Professor in 2019. His research spans wavelet methods, saddlepoint approximations, structural equation models, and stochastic risk analysis. Education: PhD in Mathematical Statistics, Humboldt University Current Affiliation: Department of Statistics, School of Mathematics and Statistics, UNSW His work focuses on advanced nonparametric techniques, including wavelet-based signal recovery with adaptive sampling rates, and robust inference in structural equation models. He has developed bias-corrected reliability measures for psychometric applications and contributed to stochastic optimization problems in finance and engineering. Recent publications highlight his expertise in semiparametric regression, robust portfolio optimization, and marine engineering applications using machine learning. Key trends include the use of Bregman divergence for shape-preserving estimation and Markov chain methods for climate model weighting. Scientific Awards: DAAD award Elected member of the International Statistical Institute (ISI) He has supervised numerous grants as Chief Investigator, including Australian Research Council projects and industry collaborations. Administrative roles include membership in the School of Mathematics and Statistics Executive Committee. Teaching duties span advanced statistical inference, multivariate analysis, and data science applications.