جست‌وجوی استاد و پژوهشگر

Thomas Duvernayمشاهده پروفایل

پژوهشگر ارشد

• Mantle Convection
• Volcanism
• Magmatism
• +۵ مورد دیگر

Dr. Thomas Duvernay is a Postdoctoral Fellow in the Department of Geophysics at the Research School of Earth Sciences, Australian National University (ANU). He holds a PhD in Earth Sciences from ANU (2023), an M.Sc. from Institut de Physique du Globe de Paris (IPGP), and a B.Sc. from Université Paris 7. His research focuses on mantle convection dynamics and their surface expressions, particularly intra-plate volcanism and mid-ocean ridge magmatism. He employs numerical geodynamic models to link subsurface processes with geochemical observations. Key research interests include mantle plume mechanisms, lithosphere-asthenosphere interactions, and the development of computational tools like PyDRex for simulating crystallographic orientation in peridotites. His work integrates geophysical, geochemical, and tectonic data to unravel Earth's dynamic processes. Recent studies address the Australian plate's thermomechanical behavior, the Cosgrove volcanic track dynamics, and coupled geodynamic-geochemical frameworks for mid-ocean ridge basalts. His interdisciplinary approach bridges computational modeling with field observations, emphasizing mantle melting parameterization and seismic anisotropy studies. Collaborations include ANU, ETH Zurich, and IPGP. His doctoral thesis (2023) advanced understanding of intra-plate volcanism mechanisms within continental and oceanic settings. Future research continues exploring mantle dynamics' role in surface magmatism through advanced numerical simulations and multi-disciplinary data integration.

Jan Engelstaedterمشاهده پروفایل

دانشیار

• Evolutionary Biology
• Host-Parasite Coevolution
• Reproductive Parasites (e.g., Wolbachia)
• +۳ مورد دیگر

Associate Professor Jan Engelstaedter is affiliated with the School of the Environment at The University of Queensland. He holds an Associate Professorship and a PhD from University College London. His research focuses on evolutionary biology, particularly the interplay between sexual processes and parasitism. Key areas include reproductive parasites like Wolbachia, bacterial recombination dynamics, host-parasite coevolution, and parthenogenesis in animals. He leads the Engelstädter Lab, which combines mathematical modeling with experimental and field studies. His work has been supported by grants such as the ARC Future Fellowship and multiple ARC Discovery Projects. He has supervised numerous PhD and Master’s students, including those investigating antibiotic resistance, Wolbachia host shifts, and microbial community dynamics. Notable publications address topics like Wolbachia infection patterns, the evolution of antibiotic resistance, and genetic networks underlying adaptation. Engelstaedter’s lab is actively involved in projects funded by the CRC-SAAFE initiative, exploring antimicrobial resistance in agriculture and ecosystems. His research bridges theoretical models with empirical studies, contributing to understanding evolutionary mechanisms in microbial and host-pathogen systems.

• Fluid Dynamics
• Environmental Flows
• Computational Fluid Dynamics
• +۲ مورد دیگر

Michael Kirkpatrick is Associate Professor in Fluids, Energy and Environment at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering. His research develops advanced mathematical models for river systems to predict water quality impacts from climate and flow changes. Education: PhD, University of Sydney (2002) BE (Mechanical Engineering), University of Sydney (1996) Kirkpatrick's work focuses on thermal stratification in rivers—where solar heating creates surface warm layers inhibiting vertical mixing—which can cause oxygen depletion and toxic conditions. His models predict mixing efficiency under varying weather and flow conditions, enabling optimized water releases from reservoirs to prevent ecological damage. Research combines computational fluid dynamics (including lattice Boltzmann methods), laboratory experiments, and field data. His publications demonstrate expertise in stratified flows, turbulent mixing, and computational methods. Recent articles analyze meandering river hydrodynamics, negatively buoyant jets, and urban microclimate modeling. Work emphasizes practical applications in environmental management and features experimental validation of numerical models. Kirkpatrick teaches fluid mechanics, thermal engineering, and renewable energy courses. He leads projects on sustainable water resource management supported by Australian research councils.

• Data Science
• Healthcare
• Agriculture
• +۵ مورد دیگر

Dr. Nasim Ahmed is a Lecturer at the School of Computer Science, The University of Sydney. His research bridges data science, artificial intelligence, and healthcare, with applications in medical diagnostics, agriculture, and data security. He earned a Ph.D. in Computer Science from Massey University (2022) and an MSc in Computer Engineering from University Malaysia Perlis (2009). Data science applications in healthcare and agriculture Big data clusters and performance modeling AI in education policy and industry applications Network security and optical communication systems His recent publications focus on federated learning for lung cancer detection, deep learning for melanoma prediction, and machine learning for chronic kidney disease risk assessment. Articles also explore big data job runtime prediction, optical CDMA/WDM systems, and Spark/Hadoop performance optimization. Nasim Ahmed holds professional memberships, including Senior IEEE and IET, and is a Chartered Engineer (CEng) accredited by the UK Engineering Council.

• Structural Health Monitoring
• Machine Learning
• Data Science
• +۷ مورد دیگر

Dr. Ali Anaissi is a Lecturer in Data Science at the School of Computer Science, University of Sydney. His research focuses on structural health monitoring (SHM) using machine learning and sensor networks to detect damage in infrastructure such as bridges and roads. He has applied these techniques to the Sydney Harbour Bridge and developed a vehicle-mounted sensor system for road condition assessment. His work emphasizes condition-based maintenance over traditional time-based approaches. He teaches courses including Principles of Data Science (COMP5310), Machine Learning and Data Mining (COMP5318), and Software Development in Java (COMP9103). His research spans structural damage detection, federated learning, tensor decomposition, and IoT applications in smart homes and healthcare. Key projects include developing a smart pothole detection system and exploring adversarial attacks in UAV services. He has authored numerous publications in journals like IEEE Transactions on Cybernetics and conferences such as IJCNN and ICDMW. His work integrates machine learning with domain knowledge to improve infrastructure safety and efficiency. Dr. Anaissi's contributions include pioneering the use of adaptive one-class SVMs in SHM and developing frameworks for privacy-preserving fitness systems. His team's sensor-driven approaches aim to transform infrastructure maintenance through real-time health scoring and automated anomaly detection.

• Neuroimaging
• Medical Imaging
• Data Analysis
• +۳ مورد دیگر

Dr. Thomas Close is a National Imaging Facility Informatics Fellow at the School of Biomedical Engineering, University of Sydney . His work focuses on neuroimaging analysis, computational neuroscience, and developing reproducible research tools. He holds a PhD and has contributed to advancements in medical imaging technologies like MRI/PET motion correction and multimodal data integration. Education: PhD (details not specified). Affiliations: National Imaging Facility, School of Biomedical Engineering, and collaborations with institutions like Monash University. Research Interests: Dr. Close specializes in neuroimaging methodologies, including motion correction algorithms, multimodal imaging (fMRI/PET), and open-source software frameworks for reproducible neuroscience. His work bridges computational techniques and clinical applications, with a focus on cerebellar function and neurodegenerative diseases such as Friedreich ataxia. Publications: His recent research includes Neurodesk (an open science tool for neuroimaging), cortico-cerebellar architecture studies, and advancements in diffusion MRI tractography. His work emphasizes reproducibility, open science practices, and collaborative platforms like Brainhack. Grants/Advising: No specific grants or advisees listed in the provided texts. However, his research collaborations suggest engagement with interdisciplinary teams. Labs/Teams: Associated with the National Imaging Facility, where he contributes to informatics initiatives, and the University of Sydney’s Biomedical Engineering labs focusing on neuroimaging technologies.

• Software Engineering
• Cybersecurity
• Static Analysis
• +۶ مورد دیگر

Rahul Gopinath is a Lecturer in the School of Computer Science at the University of Sydney. His research focuses on the intersection of Software Engineering and Cybersecurity, particularly in static and dynamic program analysis to enhance software reliability, security, and maintainability. Prior to his current role, he was a postdoctoral researcher at CISPA Helmholtz Center for Information Security in Germany and earned his Ph.D. in 2017 from Oregon State University, USA. He is a co-author of the influential textbook *Fuzzing Book*, which serves as a foundational resource for students entering the field of fuzzing. His research interests span static and dynamic analysis techniques, specification mining, fuzzing, parsing, grammar inference, mutation analysis, and automatic program repair. Rahul Gopinath’s recent work includes developing FormatFuzzer for binary file format testing, advancing input grammar mining techniques, and exploring capability-based access control systems. He actively contributes to international conferences such as ICSE, ISSTA, and FSE, and his publications address challenges in mutation analysis, test adequacy, and empirical software engineering. Current research supervision includes a project titled *Evaluating Fast Virtual Machine Implementation Techniques for Fuzzing* with student Jack LUO. His work has been recognized through collaborations and presentations at leading institutions, reflecting his commitment to advancing automated software testing and security practices.

• Theoretical Computer Science
• Combinatorial Optimization
• Algorithms
• +۴ مورد دیگر

Dr. Julian Mestre is an Associate Professor in the School of Computer Science at the University of Sydney. He holds a BE from the Universidad Católica de Argentina (UCA), and MSc and PhD degrees in Computer Science from the University of Maryland (UMD, USA). His research focuses on theoretical computer science, particularly the design and analysis of efficient algorithms for combinatorial optimization problems such as scheduling, routing, and matching. He previously served as a postdoctoral fellow at the Max Planck Institute for Informatics in Germany. **Education**: PhD in Computer Science, University of Maryland (2000s) MSc in Computer Science, University of Maryland Bachelor of Engineering (BE), Universidad Católica de Argentina **Research Interests**: Julian specializes in algorithms for combinatorial optimization, including approximation algorithms, scheduling, graph theory, and discrete mathematics. His work often bridges theoretical foundations with practical applications in areas like mobile app optimization, sensor networks, and distributed systems. **Grants**: 2015: Local Reoptimization for Turbocharging Heuristics (ARC Discovery Project) 2013: Universal Solutions for Scheduling Problems (ARC DECRA) 2012: Algorithms for Combinatorial Optimization on Uncertain Inputs (Group of Eight/Germany Grant)

• Compiler Optimization
• Static Program Analysis
• Datalog Systems
• +۵ مورد دیگر

Professor Bernhard Scholz is a faculty member in the School of Computer Science at the University of Sydney . He specializes in compiler optimization, static program analysis, Datalog systems, blockchain technology, and parallel processing. His research focuses on improving compiler efficiency, analyzing complex programs, and developing tools for smart contract security. He holds a professorial position and has been involved in significant projects like the Fantom blockchain partnership, which funds specialized blockchain research. His work includes developing the Soufflé Datalog compiler and tools like MadMax for smart contract analysis. Research interests span compiler design, formal verification, distributed systems, and energy-efficient computing. His recent work emphasizes blockchain security, Datalog scalability, and parallel execution optimization. Notable contributions include EVMTracer for Ethereum analysis and Julia Cloud Matrix Machine for cloud-based matrix computations. Key grants include ARC Discovery Projects on heterogeneous systems and smart contracts. Awards include industry partnerships and sustained research funding. He advises on large-scale program analysis and has collaborated globally with institutions like ETH Zurich and Fantom Foundation. Labs and collaborations include the University of Sydney's Blockchain Lab and Fantom-funded projects. His work bridges theoretical compiler research with practical applications in security and distributed systems.

• High Performance Computing
• Computer Architecture
• Hardware-Software Co-design
• +۳ مورد دیگر

Shuaiwen Song is a SOAR Associate Professor (tenured) at the School of Computer Science , University of Sydney, and directs the Future System Architecture (FSA) Lab . He holds affiliated professor positions at the University of Washington's Electrical Engineering department and serves as a Visiting Professor at Microsoft. Key research areas: High Performance Computing (HPC), Hardware-Software Co-design, Emerging Architectures (heterogeneous, quantum), and System ML Current projects: Large-Scale Sparse Model Design (Google), Tiered Memory Systems (Google), Compiler Optimizations for Heterogeneous Computing (Microsoft/Alibaba), Planet-Scale XR Systems (Meta), Quantum System Architecture (Australian Research Council) His work bridges system software and hardware, focusing on holistic design for complex many-accelerator systems and futuristic architectures like VR/AR and quantum accelerators. Recent publications highlight advancements in temporal graph processing, VR rendering, and ReRAM-based CNN training. He has received prestigious awards including IEEE Mid-Career Award for Scalable Computing , Alibaba AIR Faculty Award , and Australia's Most Innovative Engineers recognition.

• Computer Science
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Dr. John Stavrakakis is a Lecturer at the School of Computer Science within the University of Sydney. His research focuses on machine learning , graph algorithms , and 3D graphics optimization , particularly in developing efficient computational methods for spectral clustering , deep learning architectures , and network-aware visualization systems . Current research emphasizes random projection techniques for graph convolutional networks and topology-aware clustering methods Specializes in 3D graphics streaming and distributed visualisation environments Collaborates on network security behavior through computational models of protection motivation His recent publications highlight innovations in graph construction , k-NN search efficiency, and parameter-free optimization frameworks. Dr. Stavrakakis supervises PhD students including Michael Ashshiddiq Podbury, with expertise spanning data mining , network security , and interactive visualization . Contact: john.stavrakakis@sydney.edu.au

• Nanotechnology
• Materials Science
• Biomedical Sensors
• +۴ مورد دیگر

Professor Antonio Tricoli is a leading researcher in the Faculty of Engineering at the University of Sydney, specializing in Nanotechnology and Biomedical Engineering . He directs the Nanotechnology Research Laboratory and serves as Associate Editor for the Chemical Engineering Journal . His work bridges light-matter interactions and multi-scale interface engineering for applications in Personalized Medicine and Renewable Energy . Education: B.Sc. and M.Sc. in Mechanical and Process Engineering, PhD in Nanotechnology from ETH Zurich Leadership: Co-chair of the 2017 ANU Grand Challenge program "Our Health in Our Hands" Affiliations: Member of The Net Zero Institute and The University of Sydney Nano Institute Research Interests: His work spans Biomedical Sensors for disease monitoring, Renewable Energy systems like solar fuel production, and Nanomaterials with tailored electrochemical properties. Recent projects focus on Nanoscale Architectures for enhanced gas/chemical detection and Stable Catalysts for water splitting and CO2 reduction. Scientific Contributions: He has received prestigious awards including the 2010 HILTI Prize for innovative PhD work and 2020 ARC Future Fellowship . His team has developed self-powered nanosensors and ultraporous coatings for industrial applications. Advising & Grants: Actively supervises PhD students in areas like Green Hydrogen Production and Nanopore Reactors , with funding from ARC and Westpac. Collaborates across STEM and HASS disciplines to advance transformative health technologies.

• Geostatistics
• Big Data Processing
• Computer Systems
• +۶ مورد دیگر

Dr. John Zigman is an academic affiliated with the Faculty of Engineering at The University of Sydney. His research spans interdisciplinary fields including geostatistics, big data processing, and computer systems optimization. He has contributed to advancements in geological boundary modeling, memory management frameworks for hybrid systems, and Java performance analysis. Key research interests include: Geological modeling using Bayesian approaches and dynamic time warping Development of holistic memory management systems (e.g., Panthera framework) Optimization of parallel computing architectures and distributed garbage collection Integration of geophysical data with autonomous spatial modeling algorithms Recent work focuses on photonic integrated circuits (2025), Java performance re-engineering (2025), and large-scale geological boundary rectification (2023). His publications demonstrate expertise in both theoretical computer science and applied geosciences. Notable collaborations include work with Prof. Arman Melkumyan on geostatistical applications and Prof. Stephen Blackburn on persistent Java systems. His research bridges computational methods with earth sciences, addressing challenges in resource exploration and data-intensive systems.

• Parallel and Distributed Computing
• Networking
• Complex Systems
• +۵ مورد دیگر

Albert Zomaya is the Peter Nicol Russell Chair Professor of Computer Science and Director of the Centre for Distributed and High-Performance Computing at The University of Sydney. He holds a PhD and is a Fellow of multiple prestigious institutions including the Australian Academy of Science and the Royal Society of New South Wales. His research focuses on parallel and distributed computing, networking, and complex systems, with applications in cybersecurity, cloud computing, and IoT. He has authored over 700 publications, 30 books, and edited numerous journals. His awards include the ACM MSWIM Reginald A. Fessenden Award and the New South Wales Premier’s Prize for Engineering. Education: PhD, along with extensive academic and industry experience across multiple institutions including the University of Western Australia and the University of Sydney. Research interests span distributed computing, high-performance systems, energy-efficient scheduling, and bioinformatics applications. His work impacts national security, healthcare, and industrial productivity through advancements in computing technologies. Awards highlight his contributions to scalable computing, parallel processing, and sustainable computing. He serves on editorial boards of major journals like ACM Computing Surveys and IEEE Transactions on Computers. Advising and grants include mentoring numerous PhD students and leading projects like the ARC Professorial Fellowship on energy-aware scheduling. He directs research centers and collaborates with industry partners to translate theoretical advancements into practical solutions. Labs and teams: Leads the Centre for Distributed and High Performance Computing, and collaborates with institutions like the Net Zero Institute and the University of Sydney Nano Institute.

Louise Katzمشاهده پروفایل

پژوهشگر

• Literature
• Creative Writing
• Monstrosity Studies
• +۴ مورد دیگر

Louise Katz is an Honorary Associate in the Discipline of English and Writing within the Faculty of Arts and Social Sciences at The University of Sydney. She joined the university in 2009 and currently teaches Critical Thinking and Persuasive Writing for Postgraduates (FASS7002) and Academic English for Postgraduates (FASS7001). Previously, she taught creative writing at the University of Technology, Sydney. Her academic journey began with a BA from UNSW, followed by a DipEd from Sydney, and a DCA from UTS. Dr. Katz's research spans multiple intersecting fields including literature, linguistics, and cultural studies. Her primary interests focus on monsters and monstrosity in literature and politics; cultural impacts of Corporatese and other 'newspeak' forms in academic and wider communities; expressions of religious and mythic sensibilities in contemporary literature; theories of creativity and the relationship between creative and critical writing processes; the ethics of the Slow movement in relation to education; and practice-led research. Her work consistently examines how language shapes power structures and social relations. Her recent publications reveal a strong thematic trajectory examining language corruption in academic and political contexts, with particular attention to 'Corpspeak' and 'Zombilingo' as metaphors for bureaucratic language that strips meaning from communication. She also explores the intersection of creativity and critical thinking, especially within educational contexts, while maintaining a parallel career in speculative fiction that explores dystopian themes of gender, power, and religious fundamentalism. Norma K Hemming Award for excellence in exploration of themes of diversity in speculative fiction (2016) for The Orchid Nursery Aurealis Award for Best Young Adult Novel (2001) for The Other Face of Janus Aurealis Award for Best Fantasy Short Story (2004) for 'Weavers of the Twilight' Dr. Katz supervises Masters in Creative Writing through Supervised Study Projects and maintains an active research agenda that bridges creative practice with critical analysis. Her current project includes Tattooed Places: A Travelogue , a novel under review. She has also received research funding including a 2008 Faculty of Arts and Social Sciences Small Teaching Improvement and Equipment Grant for 'Supporting Postgraduate Students' Writing.'