جستجوی استاد راهنمای دانشگاهی

Steven Sternمشاهده پروفایل

استاد

• Data Science
• Operational Risk Management
• Sports Analytics
• +۳ مورد دیگر

Steven Stern is a Professor of Data Science at Bond Business School and Professor at the Centre for Data Analytics, Bond University. He holds a PhD in Mathematical Statistics from Stanford University. Previously, he served as Professor and Australian Bureau of Statistics Chair at Queensland University of Technology (2014–2016), Associate Professor at Australian National University (1994–2013), and Lecturer at Stanford University (1993–1994). His research focuses on data-driven methodologies applied to healthcare, sports analytics, financial risk management, and medical imaging. Notable contributions include the Duckworth-Lewis-Stern method for cricket scoring, MRI acceleration techniques, and operational risk modeling in financial institutions. Recent work emphasizes optimizing diagnostic imaging (e.g., knee/shoulder MRI), predicting athlete performance, and enhancing financial literacy studies. He actively supervises PhD students in multivariate ROC analysis and sports team ratings. Professional activities include membership on Bond University’s Research Committee (2025–2025) and invited talks on interdisciplinary data science applications.

• Marine and Estuarine Ecology
• Estuaries
• Fisheries Management
• +۸ مورد دیگر

James Tweedley is a Senior Lecturer at Murdoch University, affiliated with the School of Environmental and Conservation Sciences within the College of Environmental and Life Sciences. He is also part of the Centre for Sustainable Aquatic Ecosystems and Harry Butler Institute. His research focuses on aquatic ecosystem health, fisheries management, and restoration strategies, with particular expertise in estuarine ecology and benthic macroinvertebrates. Education: Tweedley holds a BSc (Marine Biology) from the University of Portsmouth (2005), an MRes in Marine Biology from the University of Plymouth (2006), and a PhD in Marine Science from Murdoch University (2011). Research Interests His work spans two core areas: (1) understanding ecological linkages between fish/invertebrate communities and environmental drivers to develop estuarine health indices, and (2) fisheries management including aquaculture-based enhancement, artificial reefs, and socio-economic dimensions of fishing. Recent projects address eutrophication mitigation via mussel habitat restoration, barrier impacts on fish migration, and invasive species effects on ecosystems. Key Contributions Tweedley has pioneered methods for assessing fish communities in hypersaline environments and evaluated artificial reef effectiveness in temperate waters. His work on mass mortality events and tidal exclusion barriers provides critical insights for conservation planning. Awards - Young Tall Poppy and West Australian Young Tall Poppy of the Year (2021) - Recognizing outstanding research and science communication. Grants & Collaboration Funded projects include shellfish reef restoration studies and small-scale fisheries management in Indonesia. Collaborates with institutions like the Australian Institute of Policy and Science and local Indigenous communities for culturally significant estuary monitoring. Labs/Teams Leads the Sustainable Aquatic Ecosystems research group and contributes to the Harry Butler Institute’s coastal resilience initiatives.

Amin Darvazehbanمشاهده پروفایل

پژوهشگر ارشد

• Electromagnetic Antenna Design
• Medical Imaging
• Microwave Engineering
• +۵ مورد دیگر

Dr. Amin Darvazehban is an Adjunct Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on electromagnetic antenna design for biomedical imaging systems, particularly targeting torso and liver diagnostics. Key Research Areas: Medical microwave imaging systems Metasurface and reconfigurable antenna technologies Dielectric property analysis for diagnostics Biomedical electromagnetic sensors Quantum signal processing applications Publication Trends: Recent work highlights electromagnetic solutions for non-invasive steatotic liver detection, torso imaging optimization, and metasurface-based antenna systems. His articles span IEEE journals in Antennas, Microwaves in Medicine, and Biosensors. Education: Completed his PhD thesis in 2021 on 'Reconfigurable antennas for electromagnetic torso imaging' at the School of Information Technology and Electrical Engineering, The University of Queensland. Patent: Co-inventor of an apparatus for electromagnetic characterization of internal features (US20230228917A1, 2023).

• Statistics
• Machine Learning
• Financial Econometrics
• +۵ مورد دیگر

Jennifer Chan is a Professor in the Statistics Department at the University of Sydney's Faculty of Science. She earned her PhD from the University of New South Wales in 1997 and previously lectured at the University of Hong Kong before joining her current institution in 2006. Her research integrates statistical and machine learning models with applications in finance and insurance, including volatility modeling, Bayesian methods, and neural network applications. Her interdisciplinary research focuses on: Generalized linear mixed models and multivariate volatility measures Machine learning techniques for financial risk assessment Bayesian robustness and portfolio optimization Time-series analysis of cryptocurrencies and equity markets Recent publications demonstrate strong focus on Bayesian models in finance (42% of last 15 papers), machine learning applications (33%), and actuarial science (25%), with emerging emphasis on neural networks for financial forecasting. Awards & Honors: Second prize, Natural Science Award of China's Ministry of Education (2008) National Drug Strategy Research Scholarship (1994-1996) She supervises doctoral candidates working on machine learning applications in finance and insurance. Her international collaborations include institutions in Israel, Japan, Malaysia, and the United States.

Darfiana Nurمشاهده پروفایل

مدرس ارشد

• Nonlinear time series analysis
• Bayesian inference
• Markov Chain Monte Carlo (MCMC)
• +۵ مورد دیگر

Dr Darfiana Nur is an Adjunct Senior Lecturer at the University of Western Australia (UWA) , affiliated with the School of Physics, Mathematics and Computing and the Department of Mathematics and Statistics . She has a rich academic background with experience at Flinders University and Curtin University, and a strong record in teaching and research. Education: BMath – University of Gadjahmada (UGM), Indonesia (1988) MSc (Research) – University of Western Australia (1993) PhD in Statistics – Curtin University of Technology (1999) Research Interests: Her research focuses on nonlinear time series modelling , particularly Smooth Threshold Autoregressive (STAR) and regime-switching volatility models. She applies Bayesian MCMC algorithms and Hidden Markov Models (HMMs) in genetics and bioinformatics, and explores deep learning for time series forecasting. Her work spans DNA sequence modelling , Bayesian inference , and machine learning applications in complex data environments. She has published extensively in top-tier journals and contributed to both theoretical and applied statistics. Scientific Contributions: She has authored 23 journal publications , 10 refereed conference papers , and 35 non-refereed conference papers . Her recent work includes advanced statistical modelling in GARCH, BEKK, and LASSO frameworks. Supervision: She has supervised 7 PhD students , 1 MMath(Research) , 9 Masters by Coursework , and 7 Honours students across UWA, Flinders University, and the University of Newcastle. Teaching: Her teaching portfolio includes courses in Data Science , Mathematical Statistics , Time Series Analysis , and Bayesian Inference , delivered at both undergraduate and postgraduate levels.

• Statistics
• Categorical Data Analysis
• Survey Methodology
• +۳ مورد دیگر

Thomas Suesse is a Senior Lecturer at the School of Mathematics and Applied Statistics, University of Wollongong, with a career spanning institutions in Germany, New Zealand, and Australia. His academic journey includes a M.Sc. in Mathematics from Friedrich-Schiller-University Jena (2003) and a PhD in Statistics from Victoria University of Wellington (2008). Education: M.Sc. in Mathematics (FSU Jena, 2003), PhD in Statistics (VUW, 2008) His research focuses on Statistics, particularly Categorical Data Analysis, Social Network Modeling, and Spatial Statistics. Recent work explores variational Bayes inference for spatial autoregressive models, environmental extreme value detection algorithms, and the impact of missing data in statistical models. His publications span topics in public health, environmental science, and educational methodology. Key trends in his 15 most recent articles (2021-2025) include advancements in spatial statistics, applications of social network analysis to finance, and educational research comparing laboratory teaching objectives. He has also contributed to understanding pandemic effects on child health and activity patterns. Scientific Awards: 2008 VUW PhD thesis submission award; 2005-2008 VUW Postgraduate Scholarship. Thomas co-supervises PhD students on topics like spatial autoregressive modeling with missing data and variance estimation in mixture models. He has secured internal grants for computational infrastructure upgrades and studies on child movement behaviors. His professional affiliations include the Statistical Society of Australia.

• Leadership
• Organizational Behavior
• Workplace Dynamics
• +۳ مورد دیگر

Dr. Saima Ahmad is a Senior Lecturer at RMIT University's School of Management, focusing on cultivating sustainable work environments and investigating leadership's impact on individual well-being. With a PhD in Management from Monash University, her research spans organizational behavior, workplace dynamics, and leadership ethics, addressing critical issues such as bullying, resilience, and digital disruption. She coordinates courses in the RMIT MBA program and serves on editorial boards for the European Management Journal and PLoS One . Education: PhD in Management from Monash University Her research emphasizes positive leadership styles and their influence on employee engagement and organizational sustainability. Recent work explores servant leadership in the construction industry and the role of green human resource management in fostering environmental citizenship. She has pioneered studies on workplace bullying and its mitigation through ethical leadership frameworks. Her scientific awards include the 2022 RMIT GSBL Dean’s Merit Award for HDR Leadership Excellence for her contributions as HDR Coordinator (2022-2024), where she enhanced PhD completion rates and student support systems. She actively supervises Masters and PhD research candidates, focusing on leadership and organizational behavior.

Bin Pengمشاهده پروفایل

استاد

• Econometrics
• Panel Data Analysis
• Time Series Analysis
• +۳ مورد دیگر

Bin Peng is a Professor in the Department of Econometrics and Business Statistics at Monash University. His research focuses on developing novel econometric models and methods, particularly in panel data analysis, time series econometrics, and climate data modeling. He holds a PhD in Econometrics from Monash University (2013) under Professors Giovanni Forchini and Don Poskitt, preceded by a BSc in Mathematics from Nanjing University (2007). His work addresses structural changes in factor models, time-varying parameters in vector error-correction frameworks, and productivity convergence in manufacturing sectors. Key contributions include nonparametric panel models for climate data and methodologies for handling interactive effects in panel data with general factors. Peng has received multiple Dean’s Awards, including the 2021 Early Career Research Excellence Award, 2023 Commendation for Excellence, and 2024 Researcher of the Year. He leads a 2021–2025 project on modeling time trends in panel data, funded by Monash University. His recent articles (2021–2025) emphasize methodological advancements in econometric theory, applied to climate science, economic growth, and macroeconomic policy.

• Wine Science
• Viticulture
• Food Chemistry
• +۶ مورد دیگر

Dr. Joanna Gambetta serves as a Lecturer in Food Science at the University of Newcastle , affiliated with the School of Environmental and Life Sciences . With academic qualifications from Montpellier SupAgro (MSc in Oenology and Viticulture) and the University of Adelaide (PhD in Wine Science), her research focuses on grape and wine quality assessment , biotic/abiotic stress impacts on aroma composition , and practical solutions for vineyard challenges in Australian contexts. Education : MSc in Oenology and Viticulture, Montpellier SupAgro PhD in Wine Science, University of Adelaide Research Interests span three primary domains: Antifungal microbial volatile organic compounds (VOCs) for biocontrol applications, particularly against Botrytis cinerea and Alternaria alternata through novel analytical approaches Climate change adaptation strategies in viticulture, including modeling vine phenology and mitigating sunburn damage via secondary metabolite analysis Food chemistry innovations in plant-based protein gels and dairy alternatives, integrating fermentation and enzymatic crosslinking Publication Trends reveal a multidisciplinary approach combining analytical chemistry (SPME-GC-MS, LC-MS/MS), chemometrics , and industrial collaboration . Her work bridges agricultural science with food sensory analysis , while recent studies tackle plant-based cheese development using pea protein emulsions.

• Stochastic Analysis
• Financial Modelling
• Probability Theory
• +۲ مورد دیگر

Dr Donna Mary Salopek is a Senior Lecturer at the University of New South Wales , affiliated with the Department of Statistics within the School of Mathematics and Statistics. Her research focuses on stochastic analysis and financial modeling, particularly applications of fractional Brownian motion and arbitrage theory. Current Teaching: MATH 5816 (Continuous Time Financial Modelling), MATH 5985 (Term Structure Modelling) Administrative Role: Postgraduate Coursework Coordinator Her work includes stochastic integration in UMD spaces and saddlepoint approximations in option pricing. She received a Faculty Research Grant in 2011 for her study on cylindrical fractional Brownian motion. Contact: dm.salopek@unsw.edu.au , Room RC-2054, Red Centre, Kensington Campus.

Ben Duanمشاهده پروفایل

دانشگاهی

• Reinforcement Learning
• Graph Neural Networks
• Intelligent Transportation Systems (ITS)
• +۴ مورد دیگر

Ben Duan is an Adjunct Lecturer at the Department of Data Science & AI, Faculty of Information Technology, Monash University. He holds a PhD in Big Data and Electronics from the University of Technology Sydney. Previously, he was a Research Fellow at the Hong Kong University of Science and Technology. His research focuses on reinforcement learning, graph neural networks, intelligent transportation systems (ITS), and fintech. He teaches courses such as FIT5221: Intelligent Image and Video Analysis, FIT5215: Deep Learning, and FIT5217: Statistical Data Modeling at Monash’s Suzhou campus. Dr. Duan’s work aligns with UN Sustainable Development Goals related to sustainable cities and communities (SDG 11) and industry innovation (SDG 9). His recent research explores AI-driven solutions for traffic congestion, stock trend prediction using graph neural networks, and spiking neural networks for neural activation control. He has contributed to over 28 publications and a patent with the Monash Suzhou Research Institute. He supervises PhD students interested in reinforcement learning, graph neural networks, or ITS, offering full scholarships at Monash Suzhou. Key collaborations span transportation systems, fintech, and data-driven industrial processes.

Anton Westveldمشاهده پروفایل

مدرس ارشد

• Bayesian Methodology
• Network Analysis
• Game Theoretic Data
• +۳ مورد دیگر

Anton Westveld is a Senior Lecturer in the Department of Statistics at the Australian National University (ANU), within the Research School of Finance, Actuarial Studies & Statistics (RSFAS). He also serves as an Affiliate Associate Professor at Virginia Commonwealth University since August 2023. His research focuses on Bayesian methodology, network analysis, game theoretic data, and statistical causality, with notable contributions to ecological modeling and agent-based stochastic simulations. Westveld holds a Bachelor’s in Economics and Political Science from the University of Michigan (Ann Arbor), a Master’s in Applied Economics and Statistics from the same institution, and a PhD in Statistics from the University of Washington. His work has been published in prestigious journals like the Annals of Applied Statistics and Proceedings of the National Academy of Sciences . His research interests span Bayesian inference, relational data analysis, and causal modeling, with applications in ecological and health sciences. Recent work includes developing Bayesian methods for ecological drivers in marine viral communities and latent socioeconomic health indices for policy evaluation. Notable articles include analyses of menstrual disorder surveys using Gaussian copulas, ecological metagenomics studies, and Bayesian-optimized bootstrap techniques for uncertainty quantification. His interdisciplinary collaborations bridge statistics with environmental science, public health, and economics.

• Environmental Epidemiology
• Biostatistics
• Chemical Mixtures and Health Effects
• +۳ مورد دیگر

Nina Lazarevic is a Research Fellow at the Australian National University's Centre of Epidemiology for Policy and Practice within the National Centre for Epidemiology and Population Health. She holds a PhD in environmental epidemiology and biostatistics, along with Masters degrees in biostatistics and environmental science. Prior to her academic career, she worked as an econometrician in banking and market research. Research Fellow, Centre of Epidemiology for Policy and Practice PhD in Environmental Epidemiology and Biostatistics Masters in Biostatistics and Environmental Science Her research focuses on statistical methods in environmental epidemiology, particularly Bayesian nonparametric approaches for analyzing health effects of environmental chemical mixtures and exposome-health associations. Key projects include studies on PFAS exposure impacts on maternal and child health, telehealth policy evaluation, and asbestos-related cancer incidence in the ACT. Nina has published extensively on environmental chemical exposure impacts, including PFAS contamination studies (2023-2024) and prenatal exposure effects on fetal growth (2022). Her methodological work includes simulation studies for chemical mixture analysis (2020). Current projects involve: ACT Asbestos Health Study II: Linked Data Project ANU Telehealth in Primary Care Study PFAS Health Study Her work leverages large-scale linked data to inform government policy on cardiovascular disease prevention and chronic disease management.

Wolfgang K. Schiefمشاهده پروفایل

استاد

• Integrable systems
• Soliton theory
• Differential geometry
• +۳ مورد دیگر

Wolfgang K. Schief is a Professor at the School of Mathematics and Statistics, University of New South Wales (UNSW), Sydney, Australia. He previously served as Head of the Department of Applied Mathematics. His academic history includes positions as Professor at Technische Universität Berlin (Germany), Associate Professor and Senior Lecturer at UNSW, and Queen Elizabeth II Research Fellow. His research spans integrable systems, soliton theory, differential geometry (continuous/discrete), continuum mechanics, and general relativity. Key themes include geometric aspects of nonlinear equations, discretization methods, and applications in physics. Recent work emphasizes discrete differential geometry, integrable discretizations, and connections between geometry and physical models. Professor Schief's publications (2015–2019) predominantly explore discrete integrable geometry, surface theory, and geometric mechanics. Trends include advanced discretization techniques, projective/minimal surfaces, circle complexes, and multi-dimensional consistency in heavenly-type equations.

Kristin Gaineyمشاهده پروفایل

دانشیار

• Depression
• Anxiety Disorders
• Emotion Regulation
• +۷ مورد دیگر

Dr. Kristin Gainey is an Associate Professor at the University of Western Australia (UWA) in the School of Psychological Science, directing the Emotional Wellbeing Lab. She is a registered clinical psychologist in the U.S. Her research focuses on affective processes related to depression, anxiety, and wellbeing, incorporating heart rate variability, mindfulness, and ecological momentary assessment. She has held academic roles at the University at Buffalo (SUNY) and has editorial roles at journals like Psychological Assessment and Self and Identity . Her work is funded by the NIH and recognized through awards from the APA and Society for Research in Psychopathology. Education: PhD in Clinical Psychology, University of Iowa (2011) Clinical Internship, Seattle VA Medical Center (2011) MM in Organ Performance, Yale University (2005) BA in Psychology and Music, Harvard University (2003) Research Interests: Dr. Gainey’s work spans emotion regulation, psychopathology structure, and assessment methodologies. She explores how affective processes interact with clinical outcomes, using innovative techniques like wearable devices and ecological momentary assessments. Her recent projects include developing tools for evaluating experience sampling methods and investigating cultural responsiveness in university curricula. Grants & Awards: National Institutes of Health Grant (2019–2025) Mid-Career Research Award (UWA, 2023) APA Early Career Award (2018) Labs/Teams: She leads the Emotional Wellbeing Lab and collaborates on NIH-funded studies examining emotion regulation in distress disorders. She also engages in curriculum reform efforts to decolonize psychology education through yarning sessions with Indigenous communities.