جست‌وجوی استاد و پژوهشگر

Chi Phanمشاهده پروفایل

دانشیار

• Chemical Engineering
• Environmental Engineering
• Interfacial Phenomena
• +۴ مورد دیگر

Associate Professor Chi Phan is a chemical engineering academic at Curtin University's WASM School of Minerals, Energy and Chemical Engineering. He holds an Associate Professor rank and oversees roles in the Office of the Provost. His research focuses on interfacial phenomena, process simulations, and sustainable applications of agricultural waste. Phan earned his PhD in Chemical Engineering from Newcastle University and a BEng in Environmental Engineering from RMIT University. Research Interests: Dynamic interfacial adsorption of surfactants Microwave-enhanced chemical processes Valorization of cashew nut shell liquor and rice straw Interfacial energy concentration mechanisms Gas hydrate formation under salinity effects Publications Highlight: Over 100 peer-reviewed articles on surfactant dynamics, microwave effects, and catalytic reforming. Recent work includes molecular simulations of water dielectric properties under microwave irradiation and optimization of interfacial modification techniques. Awards: Finalist in WA Innovator of the Year (2012), Early Career Researcher Award (2009), and multiple ARC grants. His research has been supported by neutron beamtime resources at Japan's proton accelerator. Grants & Advising: Supervised 16 graduate students. Secured funding for projects like 'Sustainable treatment of rice straws' and 'Selective solvent extraction for lithium batteries'. Active in developing catalysts for methane reforming and nanomaterial synthesis. Labs/Teams: Leads research groups in process simulation, surfactant physics, and sustainable chemical engineering. Collaborates internationally on microwave-assisted technologies and interfacial science.

• Corrosion Science
• Stainless Steel Corrosion
• Additive Manufacturing Materials
• +۵ مورد دیگر

Dr. Ke Wang is an Adjunct Research Fellow at Curtin University's WASM School of Minerals, Energy and Chemical Engineering, affiliated with the Curtin Corrosion Centre. His research focuses on corrosion mechanisms of metals, particularly stainless steel and additively manufactured materials, with expertise in pitting corrosion, stress corrosion cracking, and electrochemical processes. He has contributed to understanding corrosion behavior in diverse environments, including aerated solutions and additive manufacturing processes. His work integrates experimental techniques with computational modeling, such as revisiting the Copson Curve for pitting analysis and developing methodologies to study two-dimensional pitting mechanisms. He collaborates extensively on corrosion monitoring technologies, including electrode arrays for locating corrosion processes and analyzing corrosion under disbonded coatings. Dr. Wang's research spans theoretical and applied aspects of corrosion science, addressing challenges in infrastructure protection, biomedical implants, and advanced manufacturing materials. His recent studies emphasize the critical pit stability product, salt film effects on corrosion, and material performance under extreme conditions.

• Underwater Acoustics
• Fluid-Structure Interaction
• Numerical Modeling
• +۳ مورد دیگر

Dr. Daniel Wilkes is an Adjunct Research Fellow at Curtin University's School of Earth and Planetary Sciences within the Faculty of Science and Engineering. His research focuses on computational acoustics, fluid-structure interaction, and numerical modeling of underwater and environmental noise, particularly in marine engineering contexts. He collaborates with the External Collaborative Research Centre for Marine Science and Technology, contributing to advancements in boundary element method (BEM) techniques and their applications in acoustic simulations. Wilkes' work spans experimental and numerical investigations of sound radiation from marine structures, such as impact-driven piles and offshore wind turbine foundations, with a focus on mitigating environmental noise impacts. He has developed parallel FMBEM (Fast Multipole Boundary Element Method) models for large-scale acoustic problems and contributed to benchmarking studies like COMPILE for marine pile-driving noise prediction. His publications emphasize coupled fluid-structure interaction (FSI) analysis, low-frequency elastodynamic modeling, and the optimization of numerical methods for complex acoustic scenarios. While no formal awards are listed, his extensive publication record reflects significant contributions to acoustic engineering and environmental noise management.

Vladimir Puzyrevمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Geophysics
• Numerical Modeling
• +۳ مورد دیگر

Vladimir Puzyrev is an Adjunct Research Fellow at Curtin University’s School of Earth and Planetary Sciences (EPS) and a Senior Research Scientist at Schlumberger-Doll Research. His work bridges geophysics, numerical modeling, and machine learning. He specializes in deep learning applications for geophysical inversion, electromagnetic exploration, and seismic facies classification. Research interests include: deep learning for geophysical data analysis, 3D modeling and inversion, isogeometric and finite element methods, and sparse linear solvers. His interdisciplinary approach integrates computational geosciences with advanced numerical techniques. Publications focus on applying neural networks to mineralization prediction, seismic facies classification, and electromagnetic inverse problems. Key contributions include frameworks for generative adversarial networks in geophysical modeling and Monte Carlo dropout for uncertainty quantification in geochemical data. Affiliations: Curtin University (Adjunct Research Fellow), Schlumberger Limited (Senior Research Scientist). Active in professional societies like SEG and EAGE. His work spans academic and industrial sectors, emphasizing real-world applications of computational geoscience.

• Clinical Psychology
• Adolescent Mental Health
• Mindfulness-Based Interventions
• +۳ مورد دیگر

Associate Professor Lucy Boon Gek Tan is an Australian registered Clinical Psychologist affiliated with James Cook University (Singapore campus). She holds an Associate Professor rank and specializes in Clinical Psychology with a focus on adolescent mental health and mindfulness-based interventions. Her current roles include teaching post-graduate clinical psychology courses, clinical supervision, and research collaboration. Lucy has held previous positions such as Research Fellow at The University of Hong Kong (2012–2014), Lecturer at Queensland University of Technology (2011–2012), and Senior Clinical Psychologist at Royal Children's Hospital (1999–2009). She has extensive experience in clinical practice, spanning 36 years, and is actively involved in bridging research and clinical practice through initiatives like simulating client training for clinical psychologists and implementing skill-based interventions in community services. Her research interests include evaluating program effectiveness, third-wave therapies (e.g., Acceptance and Commitment Therapy), transdiagnostic processes (rumination, clinical perfectionism), and mindfulness-based interventions. Notable collaborations include the Social Cognition Laboratory and partnerships with organizations like the Psychology Board of Australia and the Office of Health Ombudsman. Lucy has received several awards, including the Australian Prime Minister Endeavour Overseas Award (2012) and the Best Research Paper from the Centre of Mindfulness Practice and Research (2011). She emphasizes practical applications of her research, such as commercializing interventions and promoting well-being initiatives for adolescents in Singapore. Her work also involves grant activities, including a 2022–2025 project on community child mental health services and a 2024–2025 adolescent sleep procrastination program. Lucy is currently accepting PhD students and is engaged in clinical consultations, emphasizing her role as a clinician-researcher.

• Driver Fatigue
• Human Factors
• GIS Applications
• +۳ مورد دیگر

Georgia Tuckwell is a Research Fellow at the Centre for Automotive Safety Research (CASR), part of the Faculty of Sciences, Engineering and Technology at the University of Adelaide. She holds a PhD (2023) exploring physical activity as a countermeasure for driver fatigue, alongside a psychology degree and postgraduate qualifications in human factors and safety systems. Her research focuses on interdisciplinary areas including driver fatigue mitigation, human factors engineering, geographic information systems (GIS), and machine learning applications in road safety. Her work integrates sleep science, driver monitoring systems, and sensor fusion technologies. Key research interests include the impact of sedentary behavior on driving performance under sleep-restricted conditions, and leveraging machine learning for real-time driver state analysis. She has published extensively in journals such as Accident Analysis & Prevention and Transportation Research Part F. As a co-supervisor, she supports Masters and PhD candidates in road safety research. Her publications since 2020 reflect a growing body of work on workplace ergonomics, cognitive performance under fatigue, and data-driven interventions to enhance road safety outcomes.

• Iron-Oxide Mineralogy
• Ore Genesis
• Geochronology
• +۴ مورد دیگر

Dr. Cristiana Ciobanu is a Senior Researcher at the School of Chemical Engineering, University of Adelaide, leading the 'FOX' project on trace elements in iron oxides. She holds a Ph.D. from the University of Bucharest and has conducted postdoctoral research at the Norwegian Geological Survey and the University of Adelaide. Her roles include academic supervision for Masters and PhD students and project leadership in ore genesis, geochronology, and mineral processing. She is affiliated with the Deep Exploration Technologies CRC and has collaborated with industry partners like BHP Billiton Olympic Dam. Education : Ph.D. in Geology, University of Bucharest (2000) NATO Postdoctoral Fellowship, Norwegian Geological Survey Lecturer in Economic Geology, Norwegian University of Science and Technology (Trondheim) Research Interests : Her work focuses on iron-oxide mineralogy, ore genesis mechanisms, and application of advanced analytical techniques like transmission electron microscopy (TEM) and laser ablation-ICP-MS for geochronology. She investigates nanoscale mineralogical features to understand hydrothermal processes and critical metal distribution in ores. Grants & Projects : FOX Project (2015–present): Funded by BHP Olympic Dam and South Australia Mining & Petroleum Services Centre ARC Postdoctoral Fellowship (2005–2010) Labs & Collaborations : Her research leverages advanced microscopy facilities to study mineral textures and compositions, collaborating with industry and international institutions to advance sustainable georesource exploration.

• Hydraulics
• Hydroacoustics
• Hydroinformatics
• +۶ مورد دیگر

Dr. Wei Zeng is an ARC DECRA Fellow at the School of Architecture and Civil Engineering (University of Adelaide), specializing in hydraulics, hydroacoustics, and smart infrastructure systems. His research focuses on integrating machine learning, IoT, and physics-based modeling for water network monitoring, hydraulic transient analysis, and pipeline condition assessment. He leads the development of anomaly detection systems commercialized via the startup Adelitics Pty Ltd, deployed in five water utilities globally. His work spans smart water networks, sustainable asset maintenance, and pumped hydro energy storage, with contributions to CFD, control systems, and sensor fusion technologies. He supervises PhD students in related fields and teaches engineering courses on structural dynamics and fluid mechanics. Research Interests: Smart IoT-enabled water infrastructure systems Hydraulic transient modeling for aging energy systems Physics-informed machine learning for civil systems Hydroacoustic-based pipeline condition assessment Pumped hydro energy storage integration with renewables Key Contributions: Commercialized IoT leak detection systems through Adelitics Pty Ltd Pioneered paired-impulse response function (IRF) methods for pipeline diagnostics Developed transient prediction frameworks using physics-informed neural networks Advanced sensor placement optimization strategies for sewer systems Teaching & Supervision: Eligible to supervise PhD/Masters students in hydraulics, hydroinformatics, AI, and CFD. Active in courses covering structural analysis, fluid dynamics, and engineering statics.

Tim Wildschut, Constantine Sedikidesمشاهده پروفایل

استاد

• Social Psychology
• Emotional Regulation
• Cognitive Psychology
• +۲ مورد دیگر

Tim Wildschut and Constantine Sedikides are leading researchers in social psychology, focusing on nostalgia's regulatory functions across individual, collective, and cross-cultural contexts. Their work spans emotional homeostasis, self-continuity, and coping with adversity through the lens of the regulatory model of nostalgia. Key contributions: Psychological homeostasis , self-continuity mechanisms , collective nostalgia dynamics , and nostalgia in vulnerable populations . Their research employs experimental causal chain designs, measurement-of-mediation frameworks, and moderation-of-process approaches, with applications to loneliness, immigration, and pandemic-related stress. They have developed causal mediation models within counterfactual frameworks to analyze nostalgia's protective effects. Their publications demonstrate nostalgia's role in: Ameliorating self-discontinuity Counterbalancing thermoregulatory discomfort Restoring meaning in life during disillusionment Modulating intrinsic motivation under threat Enhancing group continuity during collective anxiety Current work extends to nostalgia's neural correlates (e.g., death threat detection) and its hedonic character across 41 experimental integrations. They emphasize methodological rigor in mediation analysis while acknowledging potential boundary conditions in low-resilience populations.

Ripon Kumar Chakraborttyمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Decision Analytics
• Operations Research
• +۸ مورد دیگر

Dr Ripon Kumar Chakrabortty is a Decision Scientist at the School of Systems & Computing, UNSW Canberra . His research focuses on applying Artificial Intelligence and Optimization Models to complex systems, particularly in Global Supply Chains, Logistics, and Medical Informatics . He coordinates the Master of Decision Analytics program and leads the Artificial Intelligence Community of Practice at the Australian Institute of Project Management. PhD in Computer Science, UNSW (2017) M.Sc. & B.Sc. in Industrial Engineering, BUET Diploma in Logistics, Monarch Institute Certified by Chartered Institute of Logistics and Transport Australia His research portfolio includes over 5 million AUD in Category 1 grants from Australian Research Council , Department of Defence , and other government agencies. He has supervised 24 PhD/Master's students to completion or ongoing supervision, with expertise in Explainable AI , Healthcare Analytics , and Smart Manufacturing . Recent scientific recognitions include a Highly Cited Paper , Best Paper at IEEE IEEM , and Champion at IEEE CEC Competition . His editorial roles span prestigious journals like IEEE Transactions on Industrial Informatics and Mathematics (MDPI) .

Henry Yangمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Engineering Systems
• Quantum Information
• +۳ مورد دیگر

Associate Professor Henry Yang is a faculty member in the Department of Electrical Engineering at the University of New South Wales (UNSW), Sydney. He holds a Ph.D. in Electrical Engineering (2014) and dual bachelor's degrees in Electrical Engineering and Mathematics (2010), all from UNSW. His research focuses on quantum computing, quantum engineering systems, and condensed matter physics, with particular emphasis on silicon-based spin qubits, quantum dots, and coherent quantum control. Yang's work bridges theoretical and experimental quantum technologies, addressing challenges in qubit fidelity, noise characterization, and scalable quantum processor design. His contributions include pioneering studies on high-fidelity spin qubit operations above 1 K and real-time feedback protocols for noise mitigation. He collaborates with industry and academic partners, contributing to advancements in quantum processor architectures and educational initiatives in quantum engineering. His research is supported by grants and partnerships, and he maintains active involvement in the quantum community through roles such as editorial advisory boards and conference organizing committees. Yang’s laboratory is located in the J12 Newton Building at UNSW, and he advises on cutting-edge projects in quantum computing and nanoelectronics.

John Elliott Danielsمشاهده پروفایل

دانشیار

• Functional Materials
• Ceramics
• Condensed Matter Physics
• +۳ مورد دیگر

John Elliott Daniels is an Associate Professor in the School of Materials Science and Engineering at the University of New South Wales (UNSW). He holds a PhD from Monash University (2007) and has extensive postdoctoral experience at the European Synchrotron Radiation Facility in Grenoble, France. His research focuses on advanced neutron and x-ray scattering techniques to study functional and mechanical properties of materials, particularly electro-mechanical ceramics and biological materials. Key areas include domain engineering, phase equilibria, and structural analysis of materials for energy and aerospace applications. Dr. Daniels has taught courses such as MATS1101 (Introduction to Materials Science), MATS2004 (Mechanical Behaviour of Materials), and MATS4004 (Fracture Mechanics). His professional roles at UNSW span from Lecturer (2010–2012) to Senior Lecturer (2012–2015) before becoming Associate Professor in 2016. He also served as an Australian Institute of Nuclear Science and Engineering Research Fellow (2010–2015). His research contributions include studies on actuation mechanisms in electro-ceramic materials, nano-domain dynamics in relaxors, and structural analysis of materials under extreme conditions. Recent publications highlight innovations in piezoelectric ceramics, Pb-free materials, and scattering-based characterization tools. His work bridges fundamental physics with applied engineering, targeting advancements in energy storage, sensors, and structural materials.

He Zhouمشاهده پروفایل

مربی

• Life Cycle Assessment
• Recycling of Mineral Processing By-products
• Civil Engineering
• +۳ مورد دیگر

He Zhou is a Doctor of Philosophy student and casual teaching staff member in the School of Engineering at The University of Western Australia. His research focuses on life cycle assessment and the recycling of mineral processing by-products, contributing to sustainable development in mining and construction industries. His educational qualifications are: Master of Civil Engineering, The University of Western Australia, 2020 Master of Geotechnical Engineering, China University of Mining and Technology, 2021 He specializes in life cycle assessment of industrial by-product recycling, particularly copper slag, lithium-ion battery materials, and polyurethane waste. His work integrates geotechnical engineering principles to evaluate recycled materials in construction applications, supporting circular economy goals and UN Sustainable Development Goals 9 and 12 through sustainable resource management and infrastructure innovation. His 2024-2025 publications reveal a strong focus on applying life cycle assessment to mining and construction waste streams, including copper slag utilization in mine backfill, battery by-product recycling, and offshore polyurethane recovery. His research combines experimental validation with multiscale simulation techniques to address particle breakage mechanics in geotechnical materials. No scientific awards are documented in available sources. As a PhD candidate, He Zhou does not supervise students. His peer review activity for Sustainable Materials and Technologies journal (2023-2024) represents his primary academic service contribution, with no grant funding details disclosed.

John Taylorمشاهده پروفایل

استاد

• Climate Modeling
• Machine Learning
• Image Analysis
• +۳ مورد دیگر

Prof. John Taylor is a prominent academic at The Australian National University (ANU), affiliated with the School of Computing. His research focuses on interdisciplinary areas spanning climate science, machine learning, and high-performance computing. He has made significant contributions to atmospheric modeling, GPU-accelerated algorithms, and data-driven environmental predictions. Research Interests Climate Modeling and Regional Climate Simulations Machine Learning Applications in Meteorology Deep Learning for Image Analysis and Semantic Segmentation High-Performance Computing and GPU Optimization Statistical Downscaling of Climate Variables Cloud-Based Scientific Workflows Collaborations Prof. Taylor collaborates extensively with institutions globally, including work on projects like the Earth Virtualization Engines (EVE) and the PAUNet precipitation prediction framework. His research often bridges computational methods with real-world environmental challenges, such as heat extremes and hydrological modeling. Key Achievements Over 5000 citations and an h-index of 50 Developed innovative frameworks for climate data assimilation and GPU-accelerated algorithms Leader in applying machine learning to environmental monitoring and prediction Labs/Teams He leads research groups at ANU focused on computational climate science and advanced imaging techniques. His team has developed platforms like the Cloud-Based Image Analysis Toolbox and the DCM software for 3D materials modeling.

• Climate Science
• Oceanography
• Geoscience
• +۴ مورد دیگر

Dr Kial Stewart is a Research Fellow at the Australian National University (ANU) within the Research School of Earth Sciences (RSES), specifically in the Climate and Ocean Geoscience department. His research focuses on ocean and climate dynamics, including studies on stratified fluid dynamics, polar ocean processes, and global ocean modeling. He has contributed to projects such as the Melting of Ice Sheets and Southern Ocean Circulation. Dr. Stewart has been involved in significant grants, including the 'Tracking ocean change' project as Principal Investigator and a Co-Investigator in the 'Changing Oceans and Australia's Future Climate' initiative. His work frequently employs experimental methods, such as laboratory setups for fluid dynamics visualization and field observations of sea ice properties. He collaborates with international teams and has supervised multiple research projects, though specific student names are not listed here. His research also explores the impacts of climate modes like the Southern Annular Mode on ocean ventilation and the role of topographic features in fluid flow patterns. Key research areas include: Climate Science: Investigating global and regional climate dynamics, including Antarctic and Arctic freshwater fluxes. Oceanography: Focusing on ocean circulation, eddy variability, and model sensitivity to parameters like diffusivity and vertical resolution. Fluid Dynamics: Experimental studies on stratified flows over topography and rotating systems. Polar Science: Analysis of sea ice properties and ice-ocean interactions, including brine fraction dynamics and melting processes. Publications highlight contributions to understanding ocean model accuracy, the effects of wind-driven anomalies, and laboratory techniques for fluid visualization. His work bridges theoretical models with empirical data, emphasizing the importance of high-resolution modeling and experimental validation.