جستجوی استاد راهنمای دانشگاهی

• Operating systems
• Distributed systems
• Computer Science
• +۳ مورد دیگر

Professor Willy Zwaenepoel is a distinguished academic and Dean of the Faculty of Engineering at the University of Sydney. He holds Fellowships from ACM, IEEE, and ATSE. His research focuses on distributed systems, operating systems, and experimental computer science. Previously, he spent two decades at Rice University and nine years as Dean of EPFL's School of Computer and Communication Sciences before joining Sydney in 2018. Education: BS/MS, Ghent University (1979) MS/PhD, Stanford University (1980/1984) Research Interests: His work emphasizes distributed systems and operating systems, with contributions to key-value stores, transactional systems, and large-scale graph processing. Recent projects include optimizing geo-replicated systems and improving datacenter scheduling efficiency. Articles Trends: Recent publications address OS scheduling (Nest), distributed graph mining (Tesseract), and transactional systems' performance limits. He explores hardware-software co-design for multicore systems and energy-efficient data centers. Awards: Fellow of ACM (2021) Fellow of IEEE (2020) Fellow of ATSE (2019) Grants & Advising: Active grants include adaptive key-value store research (2021) and large-graph processing systems (2018). He advises PhD students and postdocs on distributed systems and storage challenges. Labs/Teams: Leads the Sydney systems research group focusing on scalable distributed systems and cloud infrastructure.

Ruby Wrightمشاهده پروفایل

پژوهشگر ارشد

• Astronomy
• Astrophysics
• Galaxy Evolution
• +۵ مورد دیگر

Ruby Wright is a Dr Forrest Fellow at the International Centre for Radio Astronomy Research (ICRAR), part of The University of Western Australia, specializing in computational astrophysics and galaxy evolution through hydrodynamical simulations. Her research spans active galactic nuclei, stellar feedback, baryon physics, and star formation, with a focus on modeling galaxy formation processes. Key areas include supermassive black hole dynamics, elliptical galaxy evolution, and the interplay between stellar feedback and galactic structures, leveraging large-scale simulations to address fundamental questions in cosmology. Recent publications (2024–2025) highlight trends in supermassive black hole recoil events, Milky Way–Andromeda collision uncertainties, and quenched galaxy formation histories, emphasizing hydrodynamical modeling and multi-wavelength observational constraints. Scientific awards and honors: Dr Forrest Fellowship Dr. Wright serves as Co-Principal Investigator for the active grant project 'Constraining the physics of galaxies and dark matter with AI-accelerated statistical inference' (2025–2026) at The University of Western Australia, which has achieved extensive dissemination through 388 news outlets, 11 Wikipedia references, and significant social media engagement. She operates within the International Centre for Radio Astronomy Research (ICRAR), a premier global hub for radio astronomy and computational astrophysics, fostering international collaborations across institutions and leveraging high-performance computing resources for cutting-edge cosmological research.

• Privacy-Preserving Machine Learning
• Reinforcement Learning
• Data Privacy and Security
• +۵ مورد دیگر

Associate Professor Kee Siong Ng is affiliated with the School of Computing at the Australian National University (ANU). His research focuses on privacy-preserving technologies, reinforcement learning, distributed systems, and blockchain applications. He has contributed extensively to areas such as privacy-preserving machine learning, federated learning, entity resolution, and scalable database systems. His work emphasizes balancing computational efficiency with privacy guarantees in data-driven environments. Key research contributions include methodologies for secure data processing in federated learning frameworks, privacy-preserving reinforcement learning for population-level systems, and blockchain-based digital identity solutions. He has led projects like Integrated Graph Analytics and contributed to initiatives involving the Australian Medicare dataset. His research often intersects theoretical foundations with practical implementations, addressing challenges in scalability and real-world applicability. Ng has published over 24 peer-reviewed articles, with notable works appearing in venues like IEEE Transactions on Parallel and Distributed Systems and Transactions on Machine Learning Research . His articles frequently explore cutting-edge topics such as differential privacy, approximation algorithms, and multi-agent systems. Collaborations include industry partnerships and interdisciplinary efforts involving health informatics and financial intelligence. His projects include Integrated Graph Analytics (2018–2021): Focused on scalable graph-based data analysis. Translational Fellowship (2018–2022): Bridging theoretical research with practical applications. Research on Data Sets for Health and Pharmaceutical Schemes (2020): Analyzing Medicare and pharmaceutical data with privacy safeguards. Ng's work prioritizes ethical AI and privacy-by-design principles, with a focus on real-world deployment challenges in distributed and federated systems.

• Machine Learning
• Materials Science
• Nanoparticle Materials
• +۳ مورد دیگر

Amanda Parker is a Researcher in the School of Computing at the Australian National University (ANU). Her work focuses on applying machine learning to materials science and nanotechnology, with particular emphasis on nanoparticle design, multi-dimensional materials modeling, and computational chemistry. She has supervised research students and contributed to projects such as the 'Computing for Social Good Seed Grants 2023,' exploring efficient high-performance computing methods. Her research interests span machine learning algorithms, data-driven materials design, and the computational analysis of nanomaterials. Recent projects include developing graph-based representations for multi-dimensional materials and optimizing active learning strategies for scientific simulations. She has published extensively on topics like nanoparticle classification, interfacial informatics, and the prediction of material properties using Bayesian inference and neural networks. Her work bridges computational methods with experimental insights, aiming to accelerate the discovery of novel materials for energy, catalysis, and environmental applications. Current efforts emphasize minimizing experimental bias and enhancing computational efficiency through advanced machine learning techniques.

• Respiratory Medicine
• Neuroscience
• Transplantation Medicine
• +۳ مورد دیگر

Dr. Peter Bell is a Senior Lecturer affiliated with the University of Queensland and Prince Charles Hospital Northside Clinical Unit. His research focuses on respiratory medicine, neuroscience, and transplantation medicine, with a particular emphasis on chronic allograft dysfunction, Parkinson’s disease neural dynamics, and respiratory disease management. He has contributed to landmark studies on biomarker development for transplant outcomes, immune checkpoint inhibitor side effects, and anti-synthetase syndrome in interstitial lung disease. Key research areas include molecular mechanisms in lung transplantation, neuromodulatory systems in cognition, and subcortical contributions to brain network communication. His work bridges clinical practice and basic science, addressing challenges in diagnostic variability, occupational lung diseases, and autoimmune vasculitis. Notable contributions include position statements on hypersensitivity pneumonitis management and pioneering studies on dopamine’s role in Parkinson’s disease motor and cognitive deficits. His publications span high-impact journals such as Nature Neuroscience, Brain, and The Journal of Heart and Lung Transplantation. Peter Bell has collaborated with institutions globally, including the Thoracic Society of Australia and New Zealand, and has been involved in translational research initiatives aimed at improving clinical outcomes through interdisciplinary approaches.

Prashant Sonarمشاهده پروفایل

دانشیار

• Organic and Flexible Printed Electronics
• Organic Semiconducting/Conducting Materials
• Organic Optoelectronics
• +۹ مورد دیگر

Associate Professor Prashant Sonar is an academic at Queensland University of Technology (QUT), leading the Organic and Printed Electronics Research Group. He holds an Associate Professor position in the CPME School under the Science and Engineering Faculty. His expertise spans organic electronics, materials science, and energy storage systems. Sonar earned his PhD from Johannes Gutenberg-Universität (Germany) in 2004 and completed postdoctoral research at ETH-Zurich (Switzerland). He is a Fellow of the Royal Chemical Society and has received multiple awards, including an Australian Research Council Future Fellowship (2014–2018). Education: PhD in Natural Sciences (2004), Max Planck Institute for Polymer Research, Germany MSc in Polymer Chemistry (1998), North Maharashtra University, India BSc in Chemistry (1996), S. G. Patil Senior College, India Research Interests: Sonar’s work focuses on organic and flexible printed electronics, including organic photovoltaics, sensors, and energy storage systems. He develops novel materials for optoelectronic devices and sustainable technologies. His group emphasizes solution-processable semiconductors and printable prototypes. Publications & Trends: Recent work includes innovations in paper-based sensors for environmental monitoring, high-performance organic field-effect transistors, and sustainable perovskite solar cells. His research bridges fundamental material science with applied technologies like neuromorphic computing and bioelectronics. Awards & Recognition: Fellow of the Royal Chemical Society (2017) Australian Research Council Future Fellowship (2014–2018) Multiple industry and academic awards for contributions to materials science Grants & Teams: Sonar leads projects funded by ARC, industry partners, and international collaborations. His team collaborates on device fabrication facilities at QUT and develops printable electronics for real-world applications. The group emphasizes interdisciplinary approaches, combining chemistry, physics, and engineering. Labs & Facilities: The Organic and Printed Electronics Research Group operates advanced facilities for device fabrication, characterization, and testing. Collaborations include Dr. Soniya Yambem and international institutions like ETH-Zurich and Max Planck Institute.

Victoria Timchenkoمشاهده پروفایل

مدرس ارشد

• Computational Fluid Dynamics
• Natural Convection
• Heat Transfer
• +۳ مورد دیگر

Dr. Victoria Timchenko is a Senior Lecturer in the School of Mechanical and Manufacturing Engineering at UNSW Sydney. Her research focuses on computational fluid dynamics, natural convection, heat transfer, and biomedical engineering applications such as nanoparticle transport for cancer treatment. Her work integrates numerical simulations and experimental studies to address challenges in energy efficiency, renewable energy systems, and medical technologies. Key research interests include solidification/melting processes under varying gravity conditions, microchannel heat sink optimization, and laser hyperthermia using gold nanoshells. She has authored over 131 journal articles, 115 conference papers, and contributed to 6 book chapters. Her interdisciplinary approach bridges mechanical engineering with biomedical and renewable energy applications. No scientific awards or advisee students are explicitly listed. Dr. Timchenko collaborates on projects involving solar chimney integration, vortex generators for photovoltaic cooling, and advanced composite materials. Her research often addresses practical engineering solutions for energy efficiency, thermal management, and sustainable technologies.

Lan Dingمشاهده پروفایل

دانشیار

• Architectural Design
• Sustainable Urban Development
• Energy Efficiency
• +۷ مورد دیگر

Lan Ding is an Associate Professor at the University of New South Wales (UNSW), Faculty of Built Environment. She holds roles including Convenor of the High Performance Architecture (HPA) Research Cluster and former UNSW Node Leader of the CRC for Low Carbon Living. Her expertise spans sustainable building design, urban heat mitigation, smart cities, and AI-driven decision-making frameworks. Education: PhD from the University of Sydney's Faculty of Architecture, Design and Planning; MArch and BArch degrees. Professional affiliations include STANDARDS Australia Committee (IT-268 Sustainable Cities) and Honorary Associate at the University of Sydney. Research focuses on energy efficiency, urban informatics, and climate adaptation. Notable projects include the National Heat Vulnerability Observatory, Cool Sydney 2050 strategy, and development of the UHI-DS decision-support tool. She has secured over $10M in grants, leading projects like Net-Zero Energy Buildings and Smart Community Pilots. Grants : Over 20 funded projects including government-industry collaborations on urban heat, building energy systems, and embodied carbon reduction. Awards : ADA Award (2024), Port Phillip Excellence (2022), and multiple CSIRO recognitions. Teaching : Courses in BIM, Computational Sustainability, and Urban Modelling. Lab Teams : Leads HPA Cluster and collaborates with industry partners like CSIRO, City of Sydney, and Swinburne University.

Matthew Stocksمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Systems
• Photovoltaics
• Pumped Hydro Energy Storage
• +۳ مورد دیگر

Dr. Matthew Stocks is a Research Fellow at the ANU College of Engineering and Computer Science and serves as Project Convenor for the ANU Grand Challenge: Zero-Carbon Energy for the Asia-Pacific. His research focuses on renewable energy systems, high-efficiency photovoltaics, and pumped hydro storage. He has over 20 years of experience in R&D and commercialization, including leading the development of the SLIVER solar cell technology. Education: PhD in Engineering from ANU (1994-1998) under Professors Andrew Blakers and Andres Cuevas, with a dissertation on High Efficiency Multicrystalline Silicon Solar Cells . Key technical contributions include quasi-steady state photoconductance measurement techniques and silicon surface passivation. Research Interests: High-penetration renewable energy integration Pumped hydro energy storage optimization High-efficiency solar cell technologies (IBC, tandem, GaAs) Renewable energy policy and decarbonization pathways Sustainable transport electrification Notable Achievements: Developed SLIVER solar technology, generating $7M royalties for ANU Co-led ARENA-funded projects on renewable energy systems Authored global pumped hydro storage atlases Advisory & Grants: CI on multiple ARENA grants examining renewable generation and storage. Active in policy engagement through ANU's Institute for Climate, Energy & Disaster Solutions. Labs/Teams: Researcher in Energy Storage, Solar Photovoltaics, and Hydrogen Economy initiatives. Collaborates on the Zero-Carbon Energy for Asia-Pacific Grand Challenge.

Marco Ernstمشاهده پروفایل

پژوهشگر ارشد

• Photovoltaics
• Renewable Energy
• Solar Cell Technology
• +۵ مورد دیگر

Marco Ernst is a Research Fellow at the ANU College of Engineering and Computer Science, specializing in photovoltaic research. He holds a PhD from Leibniz Universität Hannover (2013) and has worked extensively on laser-processing techniques and high-efficiency silicon solar cells since 2014 at ANU. His research focuses on optimizing solar cell performance through advanced materials, numerical simulations, and optical modeling. Education: Physics Diplom, Leibniz Universität Hannover (2008) PhD in Physics (Dr. rer. nat.), Leibniz Universität Hannover (2013) Research interests include high-efficiency silicon solar cell design, laser-based processing, numerical device simulations, and optical modeling of solar systems. He has contributed to advancements in bifacial solar module performance, energy yield prediction, and circular economy solutions for photovoltaic materials. His work combines experimental and computational methods to address real-world challenges in solar energy systems. Notable contributions include methodologies for predicting energy yield losses/gains under field conditions and pioneering studies on laser-doped contacts and passivation stacks. He is affiliated with the Solar Photovoltaics research group and actively publishes in top-tier journals related to photovoltaic science and engineering.

Rhys Hawkinsمشاهده پروفایل

پژوهشگر ارشد

• Bayesian Inference
• Computational Modelling of Physical Processes
• High Performance Computing
• +۴ مورد دیگر

Rhys Hawkins serves as a Jubilee Joint Fellow at the Australian National University with dual affiliation in the School of Computing and Research School of Earth Sciences. His interdisciplinary work integrates computational geophysics, applied mathematics, and machine learning to determine Earth's composition across multiple scales. His academic background includes: Undergraduate degrees in Computer Science and Engineering MPhil in Computer Science PhD in Geophysics (2018) Prior to doctoral studies, Hawkins spent over a decade as a research programmer at ANU School of Computing, CSIRO, and Australia's National Computational Infrastructure. His current research focuses on Bayesian inference methodologies and high-performance computational modeling applied to geophysical systems, with significant contributions to Earth systems analysis and disaster risk resilience frameworks. He actively participates in research groups centered on Earth systems dynamics and vulnerability assessment, addressing critical challenges in climate and disaster management through computational approaches.

Torsten Lehmannمشاهده پروفایل

دانشیار

• Solid-state circuits and systems
• CMOS circuits at cryogenic temperature
• Ultra low-power CMOS design
• +۶ مورد دیگر

Associate Professor Torsten Lehmann is a faculty member in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). He holds the position of Associate Professor in Microelectronics and maintains an active research program focused on advanced circuit design for biomedical applications and cryogenic systems. His work spans multiple disciplines at the intersection of electronics engineering, biomedical technology, and quantum computing interfaces. Dr. Lehmann's research interests encompass several cutting-edge areas of microelectronics: Solid-state circuits and systems CMOS circuits at cryogenic temperature Ultra low-power CMOS design Bio-medical microelectronics Cochlear implants and vision prostheses High-performance analogue circuits in deep sub-micron CMOS His recent publication record demonstrates a strong focus on neural interfaces and optrode technology, with significant contributions to the development of optical neural stimulation and recording systems. Over the past five years, his research has increasingly concentrated on optrode arrays, biopotential sensing, and charge-balanced stimulation techniques for neural applications. His work bridges the gap between traditional electronic circuit design and emerging biomedical applications, particularly in vision and hearing prostheses. A consistent theme throughout his publications is the development of specialized circuits for challenging environments, whether ultra-low temperatures for quantum computing or implantable medical devices requiring extreme power efficiency. Dr. Lehmann has made significant contributions to the field of microelectronics for biomedical applications, particularly in the development of circuits for vision prostheses and neural stimulation systems. His work on cryogenic circuits for quantum computing interfaces represents an important bridge between traditional electronics engineering and emerging quantum technologies. His research group appears to be actively involved in several collaborative projects related to neural engineering and biomedical implants, working with colleagues across UNSW and with clinical partners. The lab likely focuses on the design and testing of specialized integrated circuits for challenging applications where conventional electronics face significant limitations.

David Tsaiمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Microelectronics
• Neural Interfaces
• +۴ مورد دیگر

Dr. David Tsai is a Senior Lecturer at the University of New South Wales (UNSW), jointly appointed between Biomedical Engineering and Electrical Engineering. He leads the Biomedical Microsystems Lab , focusing on miniature microelectronic devices for brain-machine interfaces and subcutaneous biosensing. His research has been continuously funded by the NHMRC since 2013, including an ongoing Ideas grant for soft brain-machine interfaces. He has secured >$3.8M in total funding, with support from the Kavli Foundation and ARC Linkage Infrastructure Grants . His work has appeared in Nature Communications , Nature Nanotechnology , and IEEE Transactions on Biomedical Circuits and Systems . Scientific Recognition: IEEE EMBC Student Paper Award (twice) IEEE EMBC Best Papers Award NHMRC CJ Martin Fellowship (2013-2017) Kavli Foundation Postdoctoral Fellowship (2012-2013) Education: PhD in Biomedical Engineering (2012), UNSW MBiomedE (2007), UNSW BE (Software, First Class Honours) (2007), UNSW Research Themes: Development of ultra-dense microelectrode arrays for cellular-resolution electrophysiology, computational modeling of retinal responses to electrical stimulation, and standardization of neurotechnology data formats. His lab collaborates with industry partners like LeafLabs LLC , BlackRock Microsystems , and Contactile .

• Mechanical Engineering
• Structural Engineering
• Materials Science
• +۷ مورد دیگر

Prof Zhen (Jeff) Luo is a Professor at the School of Mechanical and Mechatronic Engineering at the University of Technology Sydney (UTS). Since 2012, he has led the Advanced Metamaterials & Metastructures (AMM) and Engineering Computation and Optimisation (ECO) research groups, focusing on multi-disciplinary engineering innovations. Expertise : Advanced materials design, topology optimization algorithms, additive manufacturing, and computational mechanics. Education : PhD in Mechanical Engineering from Huazhong University of Science and Technology (2005). His research bridges Mechanical, Structural, Aerospace, and Biomechanical Engineering , developing cutting-edge metamaterials and computational methods. Recent work includes two-scale lattice optimization , stochastic bandgap analysis , and machine learning-aided virtual modeling for structural reliability. Key contributions span 3D-printed heat sinks , frequency-selective surfaces , and hydrogen storage systems . As a World’s Top 2% Scientist (Stanford, 2019–present), he has secured over AUD $7 million in grants, including from the Australian Research Council (ARC) and National Intelligence Discovery Research Grants (NI220100074). Awards : IAAM Scientist Award, IAAM Fellow. Leadership : Editorial roles in Structural and Multidisciplinary Optimization , Frontiers in Bioengineering and Biotechnology , and organizing roles in 21 international conferences.

Adnan Sufianمشاهده پروفایل

مدرس ارشد

• Geotechnical Engineering
• Granular Materials
• Internal Erosion
• +۳ مورد دیگر

Academic Profile Dr. Adnan Sufian is a Senior Lecturer in Geotechnical Engineering at the School of Civil & Environmental Engineering, University of New South Wales (UNSW Sydney). He holds a PhD (2017) and BE (2012) in Civil Engineering from UNSW, with research visits to MIT. Prior academic roles include positions at Imperial College London and the University of Queensland. He also has industry experience at SMEC Australia on major infrastructure projects. Research Focus Dr. Sufian specializes in multi-scale mechanics of granular materials, investigating fluid-particle interactions through computational (DEM, CFD-DEM), experimental, and theoretical approaches. His work addresses geotechnical challenges including erosion, landslides, and contaminant transport, with applications in infrastructure, environmental management, and industrial processes. Current projects focus on internal erosion in dams, particle migration, and climate-resilient infrastructure. Publications & Trends Recent articles (2019-2025) demonstrate strong emphasis on granular material behavior under hydraulic/mechanical stresses, featuring advanced computational techniques like pore-network modeling and coupled CFD-DEM. Key themes include internal erosion mechanisms, filtration dynamics, soil-fluid interactions, and microstructural analysis. Publications consistently appear in top geotechnical journals including Geotechnique and Computers and Geotechnics . Awards & Recognition Best Paper Award (Early Career Researcher), Australasian Conference on Computational Mechanics (2019) Best Paper Award (Postgraduate Student), Australasian Conference on Computational Mechanics (2015) UNSW Geotechnical Discipline Prize (2011) Grants & Projects ARC Discovery Early Career Researcher Award (2024-2026): Predicting internal erosion in dams using real-time coupled experiments ARC Early Career Industry Fellowship (2023-2026): Safeguarding dams/levees from internal erosion NSERC Alliance Award (2023-2024): Internal erosion in hydroelectric dams (with Zheng) Research Leadership Supervises HDR projects on transport processes in granular media, particle shape effects on erosion, and flood-impacted infrastructure. Collaborates with physicists and mathematicians to study emergent granular phenomena. Co-organizes the European Working Group on Internal Erosion Symposium and holds memberships in the Australian Geomechanics Society and Engineers Australia.