جست‌وجوی استاد و پژوهشگر

Xiong Xiaoمشاهده پروفایل

پژوهشگر ارشد

• Thermodynamics
• Fluid Science
• Hydrocarbon Mixtures
• +۵ مورد دیگر

Dr. Xiong Xiao is a Research Fellow in Chemical Engineering at the School of Engineering, University of Western Australia, specializing in thermodynamic and transport properties. His research focuses on heat capacity measurements of hydrocarbon mixtures, refrigerants, and liquefied natural gas, with significant contributions to improving industrial understanding of thermodynamic behaviors. He collaborates globally with institutions including Imperial College London, Ruhr-University Bochum, and NIST. Dr. Xiao leads multiple funded projects including 'Australia-China Net-Zero Collaboration' and 'Investigating Thermodynamic Properties of Hydrogen Enriched Natural Gas'. His work spans thermophysical property analysis of nitrate solutions, hydrogen blends, ammonia mixtures, and LNG systems. Research interests include equation of state development, cryogenics, viscosity modeling, and residual entropy scaling applied to energy systems. Recent publications demonstrate advances in calorimetry techniques and sustainable refrigeration solutions. UWA Research Collaboration Award IACT Junior Award (2023) Best Presenter at Present Around the World IChemE Postgraduate Excellence Award Dr. Xiao maintains active research collaborations through the Fluid Science and Resources Group and secures funding from Australia-Japan Foundation, Woodside FutureLab, and Australian Nuclear Science Organisation.

• Astronomy
• Astrophysics
• Gravitational Wave Physics
• +۳ مورد دیگر

Ron Burman is an Honorary Research Fellow in the School of Physics, Maths and Computing at the University of Western Australia. Previously held the position of Senior Lecturer in Physics. His research focuses on gravitational wave physics, astrophysics, and astronomy with expertise in neutron stars, gamma-ray bursts, and observational techniques. Collaborates extensively with international gravitational wave detection initiatives like LIGO and Virgo. Education details not explicitly stated but holds BSc (NZ), MSc, PhD (Wellington), and FAIP honorific. Research interests center on advancing gravitational wave astronomy through data analysis methodologies and exploring astrophysical phenomena detectable via gravitational waves. Active in improving physics education methodologies at the secondary and tertiary levels. Authored/co-authored over 50 peer-reviewed publications including foundational work in gravitational wave detection algorithms and educational interventions in physics teaching.

Isaac Tonkinمشاهده پروفایل

پژوهشگر

• Machine Learning
• Financial Markets
• Deep Learning
• +۳ مورد دیگر

Isaac Tonkin is a Researcher and Senior Research Assistant at the Bond Business School, Bond University. He holds a Doctor of Philosophy from the same institution. His research focuses on financial markets, machine learning applications, and benchmarking methodologies. Education: Doctor of Philosophy, Bond Business School, Bond University. Research interests include Initial Public Offerings (IPOs), deep learning model adaptation across markets, and algorithmic solutions to combinatorial problems. His recent work explores post-IPO investment impacts on market performance and neural network training methodologies. He has presented at conferences such as the Royal Statistical Society International Conference (2023) and the IEA/AIE 2022 conference. Collaborations include projects with Volodymyr Novykov and Geoffrey Harris.

Wei Yee Weeمشاهده پروفایل

مدرس

• Bioinformatics
• Genomics
• Transcriptomics
• +۴ مورد دیگر

Dr. Wei Yee Wee is a Lecturer at Monash University Malaysia's School of Sciences , with a PhD and BSc in Bioinformatics from the University of Malaya and Multimedia University respectively. His research spans Bioinformatics , Genomics , and Tool Development , focusing on dry-lab methodologies to advance biological understanding without wet-lab experiments. Dr. Wee has contributed to 38 research outputs since 2012 development of bioinformatics tools like PGC and PathoProT 4 active/finished research projects interdisciplinary education initiatives editorial and event-organizing roles His work aligns with the UN Sustainable Development Goal for Education. Research Trends show a strong focus on 2025 : Comparative genomics of invasive pests and soil microbiomes 2024 : Shigella virulence profiles and heat-tolerant rice 2023 : Oral cavity bacterial taxonomy 2022 : Transcriptomic analysis of medicinal plants and pangolin conservation Key techniques include genome assembly, SNP prediction, and pan-genome studies. Scientific Recognition includes 2024 PVC's Award for Excellence in Education 2024 Dean's Award for Innovation in Learning 2022 Bronze Medal (Virtual HITeL Competition) 2022 Gold Medal (Virtual HITeL Competition) 2020 Gold Medal (ITEX Exhibition) As an educator, Dr. Wee teaches BIO1011 Biology 1 , SCI1020 Statistics , and other advanced modules. He serves as Editor-in-Chief for mSystems Journal and organizes bioinformatics workshops like Learnux Board Game and Wellcome Connecting Science: NGS Bioinformatics .

• Clinical Science
• Sports Injury Prevention and Rehabilitation
• Musculoskeletal Pain Management using Acupuncture
• +۴ مورد دیگر

Allan Fu is a Lecturer in Physiotherapy at the University of Sydney, affiliated with the China Studies Centre , Sydney Southeast Asia Centre , and Charles Perkins Centre . His academic profile focuses on clinical and sports science intersections, including injury prevention, musculoskeletal pain management using acupuncture, biomechanics, and talent identification in sports. Research interests span Clinical Science , Sports Injury Prevention , Musculoskeletal Pain Management , Biomechanics , Skill Acquisition , and Talent Identification . Key projects involve Sports Injury Management , Musculoskeletal Pain with Acupuncture , and Talent Identification in High School Athletes . Recent publications highlight systematic reviews on weather-related musculoskeletal pain , pregnancy outcomes , and biomechanical studies in scoliosis and postural adjustments. Collaborative work also explores physical activity trends during the pandemic and ultrasound-guided interventions for knee osteoarthritis. Dr. Fu supervises research students Lynn and Varalakshmi Sivanesan, whose projects focus on pregnancy-related musculoskeletal pain and augmented reality interventions for children with DCD . Current grants include funding from the Ministry of Education, Singapore, and the University of Sydney's China Studies Centre for initiatives like technology-enhanced throwing pedagogy and movement screening tests for physical inactivity. He collaborates with multidisciplinary teams at the China Studies Centre and Charles Perkins Centre , integrating clinical practice with technological innovation to advance physiotherapy approaches.

• Psychiatry
• Inflammatory Markers
• Adolescent Depression
• +۳ مورد دیگر

Dr. Natalie Mills is a Senior Lecturer in Psychiatry at the University of Adelaide's Adelaide Medical School, Faculty of Health and Medical Sciences. As a Child and Adolescent Psychiatrist, she completed her PhD at the University of Queensland in 2016, investigating cytokine roles in adolescent depression. Her current research examines phenotypic and genetic relationships between inflammatory markers and mood disorders. Research focuses on neuroimmunological mechanisms in depression and anxiety, with particular expertise in longitudinal inflammatory marker analysis, ketamine therapeutics, and inflammation-stratified treatment approaches. Her work bridges clinical psychiatry with molecular biology to develop personalized treatment strategies. Recent publications demonstrate strong emphasis on: 1) Ketamine efficacy trials for treatment-resistant depression, 2) Inflammation-based stratification of antidepressant therapies, 3) Cognitive outcomes of novel treatments, and 4) Genetic-epigenetic interactions in treatment response. Multidisciplinary approaches combine clinical trials with advanced biomarker analysis. Awards and Honors Royal Australian and New Zealand College of Psychiatrists Young Investigator Grant (2010) QIMR Berghofer Higher Degree Travel Committee Award (2012) Teaching and Supervision Coordinates Year 4 MBBS Psychiatry curriculum and supervises graduate researchers. Current students include Aylin Erginbas (anxiety-inflammation associations), Chelsea Parsons (pediatric anxiety disorders), and Olivia Cambridge (cognitive impairment in depression). Secured multiple grants including MRFF Neurological Disorders Grant ($1.9M) and Faculty Emerging Leaders Award.

• Biostatistics
• Oncology
• Clinical Trials
• +۳ مورد دیگر

Chris Brown is a Senior Research Fellow at the NHMRC Clinical Trials Centre, University of Sydney's Faculty of Medicine and Health. He holds a Master of Biostatistics and has expertise in trial design, statistical computing, and oncology research. Previously, he worked at SPSS and the National Cancer Registry in Ireland. His research focuses on randomization methods, phase-II trial designs, time-to-event analysis, and genome-wide association studies. His work spans clinical trials in lung cancer, immunotherapy, and precision medicine. Notable projects include the ILLUMINATE trial evaluating combination therapies for EGFR-positive NSCLC and the OSCILLATE trial exploring osimertinib/gefitinib alternation for advanced lung cancer. He also contributed to the ASPiRATION cohort study on genomic profiling in metastatic lung cancer. Recent publications emphasize real-world applications of radiation therapy (e.g., SFRT-1000 trial), PSMA PET imaging in prostate cancer staging, and symptom monitoring in hemodialysis patients. He advises one current PhD student, Emma, on sleep disorder management in breast cancer survivors. No scientific awards are explicitly listed in the provided text. His work is closely tied to the NHMRC Clinical Trials Centre and collaborative projects with institutions like the AGITG and ALTG.

Shannon Algarمشاهده پروفایل

مدرس

• Complex Systems
• Swarm Intelligence
• Reservoir Computing
• +۵ مورد دیگر

Shannon Algar is a Lecturer in the School of Physics, Maths and Computing at the University of Western Australia (UWA), specializing in Mathematics and Statistics. They are a post-doctoral researcher and Forrest Prospect Fellow within the Complex Systems Group, focusing on systems modeling with applications in complexity, swarm intelligence, reservoir computing, and time series analysis. Their work emphasizes interdisciplinary applications, particularly in improving animal welfare through early stress detection and understanding biological rhythms. Research interests include complex systems dynamics, topological data analysis, network analysis, and applying mathematical techniques to real-world challenges such as epidemiology (e.g., mobility data analysis for pandemic control) and agricultural science. Their recent publications span topics like embedding techniques, phase space characterization, and network-based change point detection. Notable collaborations involve agricultural scientists and epidemiologists to address practical problems in livestock welfare and public health. Grants: Investigating heat stress in ewes (Meat & Livestock Australia, 2021–2025) and a Forrest Research Foundation Fellowship (2021–2022). Awards: Forrest Prospect Fellow (2021–2022). Algar actively promotes mathematics in interdisciplinary contexts, contributing to UN Sustainable Development Goals through their research.

Serena Dipierroمشاهده پروفایل

استاد

• Partial Differential Equations
• Free Boundary Problems
• Nonlocal Equations
• +۳ مورد دیگر

Serena Dipierro is a Professor at the University of Western Australia , affiliated with the School of Physics, Maths and Computing within the Mathematics and Statistics department. Her academic journey includes a PhD from the International School for Advanced Studies (SISSA, Trieste) in 2012, followed by postdoctoral positions at Universidad de Chile and the University of Edinburgh, as well as a Humboldt Fellowship. She previously held permanent positions at the University of Melbourne and Università di Milano before joining UWA in 2018. Her research focuses on Partial Differential Equations (PDEs) , Free Boundary Problems , Nonlocal Equations , and Calculus of Variations , with applications in nonlinear analysis. Key areas of investigation include the study of fractional Laplacians, minimal surfaces, and symmetry properties of solutions to PDEs. In 2023, she was awarded the School of Physics, Mathematics & Computing Mid-Career Research Award . She leads multiple ARC-funded research projects, including Non-local PDE approach to moving fronts and bushfires and Partial Differential Equations, free boundaries and applications . Grants : Non-local PDE approach to moving fronts and bushfires (2025–2028) Nonlocal Equations at Work (2017–2022) Partial Differential Equations, free boundaries and applications (2018–2022) Labs/Teams : Active in interdisciplinary research groups within the School of Physics, Maths and Computing, focusing on PDEs and nonlocal operators.

Yanli Linمشاهده پروفایل

مدرس

• Econometrics
• Applied Econometrics
• Spatial Econometrics
• +۳ مورد دیگر

Yanli Lin is a Lecturer in the Department of Economics at the UWA Business School, The University of Western Australia. She holds a Ph.D. in Economics from The Ohio State University (2024). Her research focuses on theoretical and applied econometrics, with an emphasis on spatial and social network models. She currently serves as Seminar Organizer for the Department of Economics. Education: Ph.D. in Economics, Ohio State University (2018–2024) Research interests include econometric methodologies, spatial econometrics, and computational techniques. Recent work addresses spatial autoregressive models and computational efficiency in econometric estimation. Awards include the G.S. Maddala Prize (2022) and Tom Kniesner Award (2023). Teaching: Coordinator for BUSN 5002 and ECON 3371; instructor roles since 2022 Grants include UWA Business School Research Grant (2024) and a Start-up Grant (2024). Her scholarship bridges econometric theory with practical applications in spatial data analysis.

Atif Mansoorمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• IoT and Sensor Networks
• +۴ مورد دیگر

Atif Mansoor is a Lecturer in Computer Science and Software Engineering at the University of Western Australia, affiliated with the School of Physics, Maths and Computing. He is also part of the Planning and Transport Research Centre within the School of Social Sciences. His research spans interdisciplinary areas including computer vision, machine learning, IoT systems, and probabilistic graphical models. Mansoor has supervised numerous graduate students, contributing to advancements in automated inference, infrastructure monitoring, and image quality assessment. Recent research focuses on parallel Bayesian network inference, IoT-based structural health monitoring, and remote sensing applications for agriculture. His work integrates machine learning with domain-specific challenges in healthcare, urban planning, and environmental science. Mansoor has collaborated on projects funded by initiatives like the iMove CRC, emphasizing practical solutions for infrastructure and transportation systems. His academic contributions include over 50 peer-reviewed publications and active participation in international conferences. Mansoor’s teaching and research reflect a commitment to innovation in computational methods and their societal applications.

• Applied Probability
• Mathematical Biology
• Statistical Distributions
• +۵ مورد دیگر

Anthony Pakes is a Professor at the University of Western Australia, affiliated with the School of Physics, Maths and Computing and the Department of Mathematics and Statistics. His work contributes to the UN Sustainable Development Goals, particularly in areas impacting health and environmental sustainability through mathematical frameworks. Education: MSc in Mathematics (Melbourne University) PhD in Mathematics (Monash University) Research Interests: Anthony's expertise spans applied probability, mathematical biology, and statistical distributions. He explores topics such as Markov processes, extreme value theory, and the history of mathematics. His recent work integrates stochastic models with real-world applications, including epidemiological dynamics and population studies. Publications: His recent articles reflect a focus on branching processes, epidemic modeling, and distribution theory. For instance, he analyzed SIR models in 2024 and explored subcritical Markov processes in the same year. Earlier works addressed mutant number laws and structural properties of generalized distributions. Advising & Grants: No advisees or grants are explicitly listed in the provided text. Labs & Collaborations: Collaborations span multiple countries, though specific lab/teams are not detailed. His research network emphasizes interdisciplinary connections in probability and mathematical biology.

• Computer Science
• Video Classification
• Scene Understanding
• +۳ مورد دیگر

Moussa Reda Mansour is an Adjunct Senior Research Fellow at the University of Western Australia, affiliated with the School of Physics, Maths and Computing and the Department of Mathematics and Statistics. He specializes in computer science with a focus on video classification, similarity search, and scene understanding. His work addresses challenges in human motion analysis and private industry applications. He has contributed to advancements in classification problems through innovative fusion techniques. Research interests include machine learning applications in video streaming and data analysis. His 2019 publication on video classification demonstrates expertise in pattern recognition and AI-driven solutions.

Zachari Swieckiمشاهده پروفایل

مدرس ارشد

• Learning Analytics
• Collaborative Learning
• Quantitative Ethnography
• +۱ مورد دیگر

Zachari Swiecki is a Senior Lecturer in the Department of Human Centred Computing at Monash University's Faculty of Information Technology. He holds a PhD and MS in Educational Psychology from the University of Wisconsin-Madison and a BS in Mathematics & Physics (summa cum laude) from the University of Alabama. His research focuses on Learning Analytics, emphasizing collaborative settings, and he co-developed Quantitative Ethnography, a methodology integrating qualitative analysis, statistics, and data science. Key areas include modeling collaborative processes in engineering, medicine, and military contexts, real-time team monitoring systems, and educational simulations. Swiecki leads or collaborates on projects such as the 'Assessment Framework for Generative AI in Writing' (2024–2027) and 'Hierarchical Abstractions for Neuro-Symbolic Systems' (2023–2027). His work addresses UN Sustainable Development Goals related to education. He advises PhD students and has contributed to tools like the 'Epistemic Analytics Lab’ and 'Co-design Knowledge Management Systems' for educator communities. Publications span multimodal learning analytics, automated discourse analysis, and AI-driven educational tools, reflecting his interdisciplinary approach to advancing learning technologies. His research bridges theory and practice, with applications in adaptive scaffolding, stress analytics visualization ('StressViz'), and collaborative design interfaces.

• Forecasting
• Time Series Analysis
• Computational Statistics
• +۵ مورد دیگر

Rob J Hyndman is a Professor of Statistics at Monash University, Australia, specializing in forecasting, time series analysis, and computational statistics. He holds roles such as Director of the International Institute of Forecasters (2005–2018) and Editor-in-Chief of the International Journal of Forecasting . His academic qualifications include a BSc(Hons) and PhD from the University of Melbourne. Research interests focus on forecasting methodologies, anomaly detection, and demography. Notable projects include energy analytics, hierarchical forecasting, and applications in healthcare and environmental data. He has supervised over 30 PhD/Master’s students and led major initiatives like the ARC Training Centre in Optimisation Technologies (OPTIMA). Key awards include the Pitman Medal (2021), Moran Medal (2007), and Australian University Teaching Awards. His work contributes to UN Sustainable Development Goals, particularly in sustainable energy and health systems. Active collaborations span global institutions, and he develops influential R packages like fpp3 , vital , and forecast . He organizes events like the WOMBAT workshop, promoting open-source tools for analytics.