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Vladimir PuzyrevView profile

Research Fellow

• Deep Learning
• Geophysics
• Numerical Modeling
• +3 more

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
• +3 more

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
• +3 more

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
• +4 more

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
• +6 more

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 SedikidesView profile

Professor

• Social Psychology
• Emotional Regulation
• Cognitive Psychology
• +2 more

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 ChakraborttyView profile

Researcher

• Artificial Intelligence
• Decision Analytics
• Operations Research
• +8 more

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 YangView profile

Associate Professor

• Quantum Computing
• Quantum Engineering Systems
• Quantum Information
• +3 more

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 DanielsView profile

Associate Professor

• Functional Materials
• Ceramics
• Condensed Matter Physics
• +3 more

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 ZhouView profile

Tutor

• Life Cycle Assessment
• Recycling of Mineral Processing By-products
• Civil Engineering
• +3 more

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 TaylorView profile

Professor

• Climate Modeling
• Machine Learning
• Image Analysis
• +3 more

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
• +4 more

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.

Simon WattView profile

Lecturer

• Environmental Engineering
• Applied Mathematics
• Combustion Science
• +3 more

Dr. Simon Watt is a Lecturer at the School of Science, UNSW Canberra , Australian Defence Force Academy. His research spans applied mathematics, combustion science, and environmental/humanitarian systems modeling. Key research areas include: Activated sludge wastewater treatment modeling Stochastic wildfire spread prediction Chaotic combustion dynamics Conflict environment humanitarian aid modeling Recent publications focus on: 2D chaotic flows in exothermic-endothermic reactions Extinction pathways in non-adiabatic flames Weight-function approaches for combustion waves Seismic collapse criteria for reinforced concrete structures His methodological expertise includes: Mathematical modeling of complex systems Nonlinear dynamics analysis Computational simulation of ecological/industrial processes

• Fluid Mechanics
• Thermal Engineering
• Mechanical Engineering
• +4 more

Phuoc Huynh is an Adjunct Fellow at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS). He obtained his BE (Hons, 1976), MESc (1979), and PhD (1982) in Mechanical Engineering from the University of Sydney. With industry experience at CSIRO, he joined UTS in 1985 as a lecturer and has authored over 100 research publications. His work bridges academia and industry through consulting projects like the 2008 fluid mechanics course for Tyco Flow Control Pacific. Research Focus Dr. Huynh specializes in fluid mechanics and thermal engineering with applications in sustainable technologies. His research encompasses: Advanced desalination methods using low-pressure/temperature systems Computational modeling of ventilation systems (windcatchers, solar chimneys) Biofiltration through green wall technologies for air quality improvement Phase change materials for thermal energy management in buildings Publication Trends Recent works (2018-2024) demonstrate strong focus on sustainable engineering solutions. Primary themes include computational fluid dynamics simulations of building ventilation systems, experimental optimization of passive cooling technologies, and development of energy-efficient desalination methods. His research consistently integrates environmental sustainability with mechanical engineering principles. Professional Activities Dr. Huynh actively contributes to the academic community through: Supervision of Masters and PhD candidates Industry-academia knowledge transfer initiatives Regular publications in ASME conferences and building engineering journals

• Social And Personality Psychology
• Social Determinants Of Health
• Clinical And Health Psychology
• +6 more

Daniel Brown is a Lecturer in Clinical Psychology at the School of Psychology and Wellbeing, University of Southern Queensland. He holds a BPsych(Hons) and PhD(ClinPsych) from Griffith University. Education: BPsych(Hons) and PhD(ClinPsych) from Griffith University His research spans clinical psychology, health psychology, social psychology, and public health, focusing on habit formation, emotion regulation, and behavioral interventions for health promotion. Recent work explores gender-affirming healthcare, social media's mental health impacts, and nutrition behavior through dual-process models. Key publication trends include habit-based interventions, health disparities in gender-diverse populations, and innovative approaches to soft skills training. He applies interdisciplinary frameworks like the Dimensions of Attitudes toward Science in education and integrates reasoned-action and automatic processes in health behavior analysis. His affiliations include collaborations on public health policy (e.g., container refund schemes) and clinical training for HIV rehabilitation. Current projects emphasize simulation-based learning and behavioral determinants in environmental and health contexts.