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Aidan BurrellView profile

Academic

• Critical Care
• Intensive Care Unit (ICU)
• Extracorporeal Membrane Oxygenation (ECMO)
• +10 more

Aidan Burrell is an Adjunct Clinical Associate Professor in Acute & Critical Care at Monash University, affiliated with the Australian and New Zealand Intensive Care Research Centre (ANZIC-RC). He is an Intensive Care Specialist at The Alfred Hospital, Melbourne, and an NHMRC Emerging Leader Fellow. He co-leads major national research initiatives including SPRINT-SARI Australia (the National ICU COVID-19 Registry) and the ECMO Research Program. As a Chief Investigator on grants exceeding $14 million (with over $4 million as CIA), he plays a pivotal role in advancing critical care research in Australia and internationally. His research interests center on critical care, extracorporeal membrane oxygenation (ECMO), resuscitation, and severe respiratory and cardiac failure . He employs clinical trials, registry data, simulation modeling, and device innovation to improve patient outcomes. His work contributes to UN Sustainable Development Goals related to health and well-being. The most recent articles highlight a strong focus on ECMO optimization—ranging from in-silico modeling of pharmacological interventions to novel cannula design and long-term functional outcomes post-ECMO . This reflects a multidisciplinary approach integrating clinical medicine, engineering, and epidemiology to tackle challenges in critical care. Scientific Awards: NHMRC Emerging Leader Fellow He is actively involved in research supervision, currently mentoring a Master’s student (Ms Natalie Robertson), and is accepting PhD students via Monash’s Supervisor Connect program. He has secured multiple active research projects, including platform trials for severe pneumonia and ECMO-related interventions, demonstrating sustained grant leadership and collaborative research activity. Dr Burrell is embedded in a robust research network through the ANZIC-RC and collaborates with national and international teams on large-scale critical care studies, contributing significantly to evidence generation in intensive care medicine.

Suman RakshitView profile

Senior Lecturer

• Spatial Statistics
• Agricultural Statistics
• Genome-wide Association Studies
• +3 more

Dr. Suman Rakshit is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences, with a dual role as a Research Fellow at SAGI-West. His primary research focuses on statistical methodologies for agricultural trials, including spatial variogram modeling and linear mixed models. He has also contributed to genome-wide association studies and developed an R-package for analyzing point patterns on linear networks. Dr. Rakshit holds a PhD in Statistics from Monash University and a Master's from IIT Kanpur. His professional experience includes roles as a Data Scientist at Horizon Power and Prima Consulting. His teaching spans multiple disciplines including Science and Engineering, and he is affiliated with the Office of the Provost. Research interests emphasize spatial statistics, experimental design for on-farm trials, and computational methods. Recent work explores team playing styles in Australian Football using clustering frameworks and addresses spatial dependency in plant pathogens. His publications span agricultural, ecological, and computational topics, with a focus on methodological advancements in spatial analysis.

Peter QuinnView profile

Professor

• Dark Matter
• Galaxy Formation and Evolution
• Computational Astrophysics
• +3 more

Professor Peter Quinn is a distinguished astrophysicist at the University of Western Australia , serving as Chairman of the Board at the International Space Centre and affiliated with the International Centre for Radio Astronomy Research (ICRAR) and the Office of DVC Research . He received his BSc(Hons) in Mathematics and Physics from the University of Wollongong in 1978 with the University Medal in Physics, and his PhD in astronomy and astrophysics from the Australian National University (ANU) in 1982. His research centers on galaxy formation and evolution , dark matter dynamics , and the Epoch of Reionization . He has pioneered computational astrophysics, particularly through the discovery of the Quinn-Goodman effect and contributions to the MACHO Dark Matter Search Project . He has led major initiatives in the European Southern Observatory (ESO) , including the Very Large Telescope (VLT) data flow system and the Astrophysical Virtual Observatory (AVO) project. His scholarly work spans radio astronomy , supercomputer simulations , and data-intensive science , with a strong focus on the Square Kilometre Array (SKA) and gravitational wave detection . His work has earned him several prestigious accolades including a NASA High Performance Computing Award and a Computerworld 21st Century Achievement Award . He is a Fellow of the Australian Academy of Science (FASA) and a Fellow of the Australian Institute of Physics (FTSE) . His research also extends to large-scale international infrastructure projects and planning for the Square Kilometre Array and gravitational wave observations . He has served as Division Head at ESO and as a Chief Investigator for numerous grants, including the Australian SKA Regional Centre and ICRAR core funding .

• Sample Survey Design and Analysis
• Robust Statistical Methods
• Graphical Methods in Statistics
• +4 more

Professor Raymond Chambers is a distinguished statistician currently serving as an Honorary Fellow at the School of Mathematics and Applied Statistics, Faculty of Engineering and Information Sciences, University of Wollongong (2022–present). His career spans leadership roles at the University of Southampton (2003–2006 as Director, Southampton Statistical Sciences Research Institute; 1995–2000 as Professor and Head of Department of Social Statistics; 1999–2000 as Leverhulme Professor) and the Australian National University (1989–1995 as Senior Lecturer in Statistics). He completed his PhD in Biostatistics at Johns Hopkins University (1979–1983) and has supervised 9 PhD students in areas like Small Area Estimation , Robust Inference , and Survey Methodology . His research focuses on Sample Survey Design and Analysis , Robust Statistical Methods , Statistical Modelling and Inference , and Analysis of Computer-Linked Data . Recent publications emphasize Small Area Estimation , Probabilistic Data Linkage , and Non-Linear Spatial Models , reflecting his expertise in integrating survey data with advanced statistical techniques. Professor Chambers has received multiple accolades, including Elected Member of the International Statistical Institute Elected Fellow of the American Statistical Association Elected Fellow of the Academy of Social Sciences in Australia Leadership roles as President of the International Association of Survey Statisticians (2011–2013) He has secured significant funding from Australian and international agencies, including Discovery Projects and Linkage International grants, supporting research in Small Group Analysis , Missing Data Handling , and Longitudinal Survey Methodology . His professional contributions include editorial roles at the Journal of the Royal Statistical Society and The Annals of Statistics .

• Software Engineering
• Web Application Development
• End-User Development
• +5 more

Christopher Vinod D'Souza is a past researcher focusing on software engineering, web application development, and educational strategies in computing. His work emphasizes end-user development, UI/UX design, and rich internet applications. He has contributed to accessibility control systems, data-intensive web applications, and pedagogical methods for introductory programming courses. His research spans technical domains like automated code generation from mockups, secure access control frameworks, and MVC architecture optimizations. Notably, he has explored modeling languages for UI evolution and strategies to enhance student engagement in multicultural educational settings. Publications include studies on web application scaffolding, visual modeling tools, and architecture patterns for separation of concerns. Despite no listed awards or current institutional affiliation, his work bridges practical software engineering challenges with educational innovation. Christopher has collaborated with institutions on projects involving end-user development tools and strategic approaches to multicultural student needs in higher education.

• Data Management
• Database Systems
• Graph Data Management
• +4 more

Professor Chengfei Liu is a faculty member at Swinburne University of Technology, leading the Web and Data Engineering research group and serving as focus area leader for Knowledge and Data Intensive Systems in the SUCCESS Centre. His research focuses on web data management, advanced database systems, graph data, and workflow models. He has held academic positions at the University of South Australia, University of Technology Sydney, and the University of Queensland's DSTC. His work spans data management, distributed systems, and information systems, with notable contributions to cohesive subgraph discovery and efficient algorithms. Research interests include keyword queries, uncertain data, graph databases, and artifact-centric workflows. His awards include the Vice-Chancellor's Research Excellence Award (2007) and multiple best paper/demo awards at top conferences. Professor Liu supervises numerous PhD students and holds grants from the Australian Research Council (ARC), including projects on dynamic networks, heterogeneous graphs, and information resilience. He has authored over 297 publications, with recent work addressing topics like Bitcoin transaction prediction, federated subspace clustering, and multimodal eating disorder detection. His professional roles include program committee memberships at SIGMOD, ICDM, and CIKM, reflecting his influence in data science and database research.

• Computational Medicine
• Systems Medicine
• Biomedical Informatics
• +3 more

Elaine Holmes serves as a Professor at the Centre for Computational and Systems Medicine, Murdoch University, where she leads interdisciplinary research bridging computational methodologies and medical science. Her scholarly focus encompasses: Computational Medicine for disease modeling Systems Medicine integrating multi-omics data Biomedical Informatics for clinical decision support Metabolomics in precision health applications Professor Holmes actively secures research grants and oversees teaching and student supervision initiatives. Her work within the Centre for Computational and Systems Medicine drives innovation in data-intensive medical research, aiming to transform diagnostic and therapeutic approaches through advanced computational frameworks.

• Exercise Physiology
• Cerebrovascular Health
• Metabolic Syndrome
• +5 more

Dr. Edward Bliss is a Senior Lecturer in Medical Laboratory Science at the University of Southern Queensland (USQ), School of Health and Medical Sciences. He holds qualifications including a BBioSc, BSc(Hons), and PhD from USQ. His research focuses on the interplay between exercise, cerebrovascular function, and cognitive health, with a particular emphasis on aging populations, metabolic syndrome, and cancer survivorship. Dr. Bliss is affiliated with the Centre for Health Research and has contributed to over 3,000 research output views and 1,000 downloads. His work spans experimental physiology, clinical interventions, and translational research. Key research interests include: Cerebrovascular function modulation through exercise Cognitive health in breast cancer survivors Role of capsaicin and other nutraceuticals in metabolic disorders Respiratory muscle adaptations post-COVID-19 Gut-brain axis interactions in obesity Current supervisory roles include doctoral projects on capsaicin supplementation, cannabidiol therapies, and physical activity interventions for older adults. His publications demonstrate a strong focus on translational research bridging exercise physiology and clinical outcomes. Lab/team affiliations include collaborative projects with the Centre for Health Research, focusing on multidisciplinary approaches to health challenges such as metabolic syndrome and cancer rehabilitation.

Xibin ZhangView profile

Professor

• Bayesian inference
• Financial econometrics
• Nonparametric estimation and testing
• +7 more

Xibin Zhang is a Professor in the Department of Econometrics and Business Statistics at Monash Business School, Monash University, Australia. He has been a faculty member since 2004, progressing from Lecturer to full Professor in 2021, and has established a strong research profile in econometrics and applied statistics. Educational Background: PhD in Econometrics, Monash University, Australia Doctoral Degree in Systems Engineering, Tianjin University, China MSc in Probability and Statistics, Nankai University, China BSc in Mathematical Statistics, Nankai University, China Research Interests: Professor Zhang’s research focuses on advanced econometric methodologies, including Bayesian inference, semiparametric and nonparametric estimation, panel data models, and hypothesis testing. His work extends into financial econometrics, actuarial studies, and energy economics, with a strong emphasis on empirical applications related to climate policy, energy transition, and economic sustainability. He applies sophisticated statistical techniques to real-world data, contributing to both methodological development and policy-relevant insights. Publication Trends: His recent publications (2019–2025) reveal a consistent focus on nonparametric and Bayesian methods in econometrics, with applications in energy economics, stochastic frontier analysis, and financial modeling. He frequently publishes in top-tier journals such as Journal of Econometrics , Energy Economics , and Economic Modelling , often in collaboration with leading researchers. A notable trend is the integration of kernel-based methods and Bayesian bandwidth selection across various modeling frameworks. Scientific Awards: Dean's Award for Excellence in Research (2009) Dean's Commendation for Excellence in Research Publication (2007) Advising and Grants: He has supervised over 15 PhD and Master’s students to completion and currently supervises multiple PhD candidates. His research is supported by competitive grants, including four Australian Research Council (ARC) Discovery Projects (2006–2016) and a DFAT-funded project (2017–2018) on Chinese tourism dispersal in regional Australia. Labs and Research Teams: While no formal lab is mentioned, Professor Zhang collaborates extensively within econometrics and business statistics research groups at Monash, particularly with colleagues like M.L. King, Jiti Gao, and Russell Smyth. He also engages in interdisciplinary work involving energy policy, finance, and actuarial science.

Jelena SchmalzView profile

Lecturer

• Applied Mathematics
• X-ray Imaging
• Tomography
• +2 more

Jelena Schmalz is a Lecturer in Mathematics at the School of Science and Technology, University of New England. She holds an M.Sc. in Mathematics from Moscow State Lomonossov University and a Ph.D. in Physics from UNE. Her background includes extensive teaching experience in first-year mathematics, number theory, and cryptography courses. Dr. Schmalz's research focuses on applied mathematics with applications to X-ray imaging, tomography, sport science, cryptography, and tertiary education. Her doctoral work investigated direct and inverse problems in X-ray phase-contrast imaging. Her publications demonstrate consistent focus on mathematical applications and educational innovation, with recent work exploring mathematical education during COVID-19 and security protocols in banking systems. Earlier research established foundations in X-ray physics and tomography techniques.

• Human Factors
• Medical Device Ergonomics
• Auditory Displays
• +3 more

Isaac Salisbury is a Researcher at the School of Psychology, University of Queensland (UQ), specializing in human factors and ergonomics within healthcare and high-tempo environments. His work focuses on optimizing clinical monitoring systems through innovative display technologies and auditory interfaces. Research Highlights Human-computer interaction in clinical settings Medical sonification and auditory display design Head-worn display usability for patient monitoring Evaluation of medical device ergonomics Healthcare workflow optimization Key Collaborations Regularly collaborates with: Penelope M. Sanderson (UQ) Robert G. Loeb (UQ) Paul D. Schlosser (UQ) Ismail Mohamed (UQ) Publication Trends Recent scholarship demonstrates expertise in: Development of head-worn displays for clinical monitoring Comparative studies of tablet vs wearable devices in healthcare Optimization of auditory displays for critical care Human factors analysis in high-tempo environments (restaurants, EMS) Experimental evaluation of medical device interfaces through simulation

• Hypersonics
• Aerothermodynamics
• Nonequilibrium Radiation
• +3 more

Aaron Brandis serves as an Honorary Professor in the School of Mechanical and Mining Engineering at the University of Queensland, specializing in hypersonics and atmospheric entry physics with emphasis on radiation phenomena for planetary exploration missions. Dr. Brandis completed his PhD in Mechanical Engineering at the University of Queensland in 2009, focusing on experimental and computational modeling of non-equilibrium radiation during Titan and Martian atmospheric entry. His research leverages high-enthalpy facilities including the X2 expansion tube for simulating extreme entry conditions. His primary research interests encompass hypersonic aerothermodynamics, nonequilibrium radiation physics, shock tube experimentation, and planetary atmospheric entry analysis. Work particularly targets Titan's nitrogen-methane atmosphere and Mars' CO2-rich environment, developing measurement techniques and validation methods for radiation models under non-equilibrium flow conditions. Analysis of his publication timeline (2006-2015) reveals consistent advancement in radiation measurement techniques for planetary entry scenarios, with increasing sophistication in collisional-radiative modeling and facility instrumentation. Key trends include transition from fundamental shock tube experiments to complex expansion tube simulations of super-orbital trajectories, with growing emphasis on validating computational models against empirical data. No scientific awards were documented in the provided institutional profile. While active research collaborations are evident through co-authored publications, no student advisement relationships or specific grant funding details were disclosed in the source material. Dr. Brandis is associated with the University of Queensland's hypersonics research group, utilizing specialized facilities including the X2 expansion tube and shock tube complexes for generating high-temperature radiating flows. His experimental work contributes to the broader research themes in the School's Advanced Materials Processing and Manufacturing and Future Autonomous Systems and Technologies groups.

Omar AnwarView profile

Research Fellow

• Machine Learning
• Low Power Computing
• Wireless Sensor Networks
• +3 more

Omar Anwar is a Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at the University of Western Australia. He holds a BS in Electronic Engineering from Muhammad Ali Jinnah University (2007) and an MS in Embedded Systems Engineering from the University of Leeds (2009). His research focuses on Machine Learning, Low Power Computing, Wireless Sensor Networks, and Radio Frequency Interference (RFI) mitigation in radio astronomy. Currently, he contributes to the Data Intensive Astronomy (DIA) group at ICRAR, addressing RFI challenges critical to astronomy research. Education: Bachelor of Science in Electronic Engineering, Muhammad Ali Jinnah University, 2007 Master of Science in Embedded Systems Engineering, University of Leeds, 2009 Research Interests: Anwar’s work combines machine learning with hardware optimization to solve real-world challenges. His innovations include developing low-power, long-range sensor systems for remote beehive health monitoring and pioneering the first ML model for beehive weight estimation. His current focus on RFI minimization aims to enhance radio astronomy data quality. His research bridges agriculture, embedded systems, and astrophysics, emphasizing interdisciplinary applications. Awards & Grants: No specific awards or grants are listed in the provided texts. Advising & Labs: Anwar is part of the DIA group at ICRAR, collaborating on large-scale astronomical data challenges. No formal advisee list is provided.

• Artificial Intelligence
• Computer Vision
• Data Science
• +4 more

Dr. Hongda Tian is a Senior Lecturer at the University of Technology Sydney's Data Science Institute within the Faculty of Engineering and Information Technology. With a strong background in AI and data science, he focuses on translating research into practical solutions for real-world problems across multiple sectors including water, transport, energy, and retail. BSc and MEn from Beijing University of Posts and Telecommunications (2006, 2009) PhD from University of Wollongong, Australia (2015) Postdoctoral Fellow with DATA61 | CSIRO Computer Vision Scientist with Kandao Australia Pty Ltd Associate Research Fellow with University of Wollongong Dr. Tian's research spans artificial intelligence, computer vision, data science, and machine learning with a focus on practical applications. His work combines theoretical advancements with industry implementation, particularly in environmental sustainability, water management, and infrastructure monitoring. He excels at transforming real-world issues into data science problems and developing appropriate solutions that demonstrate industrial applicability to stakeholders. His publication record shows a clear trend toward applying AI to critical infrastructure and environmental challenges, with recent work focusing on water quality prediction, electricity price forecasting, carbon intensity modeling, and bushfire smoke detection. These publications appear in top journals including International Journal of Computer Vision, IEEE Transactions on Image Processing, and IEEE Transactions on Multimedia. 2025 The Australian Financial Review AI Awards (Sustainability category) 2024 NSW iAwards Winner for Sustainability & Environmental Solution 2024 NSW Merit iAwards for Government & Public Sector Solution 2024 Distilling Research Impact 2023 NSW Merit iAwards for Sustainability & Environmental Solution Chinese Government Award for Outstanding Self-financed Students Abroad Dr. Tian has secured approximately $1.07 million in external research funding as Chief Investigator since 2020 and has led or delivered over 15 research innovation projects with government and industry partners. His projects span multiple sectors including water (Dynamic Prediction of Raw Water Quality, Water Quality Prediction for Drinking Water Delivery Systems), transport (Structural Health Monitoring for Sydney Harbor Bridge, Computer Vision-Based Track Defect Detection), energy (Electrical Network-Related Incidents Prediction), and retail (Woolworths Endcap Compliance). He serves on thesis examination committees and as an editorial board member and reviewer for over 20 peer-reviewed journals and conferences.

Liz Ritchie-TyoView profile

Professor

• Tropical Cyclones
• Tropical Meteorology
• Extreme Weather
• +12 more

Liz Ritchie-Tyo is a Professor in the School of Earth, Atmosphere & Environment and the Department of Civil Engineering at Monash University, where she conducts cutting-edge research on tropical cyclones, extreme weather, and climate impacts. She is actively involved in interdisciplinary research, supervision of PhD students, and leadership in national and international scientific organizations. Education: PhD in Atmospheric Science, Monash University (awarded 1 October 1995), focusing on mesoscale aspects of tropical cyclone genesis. Her research spans both fundamental and applied domains, including the physical understanding of tropical cyclogenesis, intensity change, extratropical transition, and landfall impacts. She also investigates the remote sensing of tropical cyclones and their societal and environmental consequences. Her recent publications reflect strong trends in integrating satellite remote sensing, climate modeling, and public health outcomes, particularly in assessing post-cyclone disease risks and radiative effects of storm clouds. This interdisciplinary approach underscores her contributions to climate science and disaster resilience. Scientific Awards and Honors: Fellow of the American Meteorological Society Prof. Ritchie-Tyo has secured significant research funding from prestigious bodies including the Australian Research Council (ARC), the US Office of Naval Research, the National Science Foundation, NOAA, NASA, and the Australian Bureau of Meteorology. She currently leads multiple projects, such as the ARC Centre of Excellence for the Weather of the 21st Century and a project on the contribution of tropical cyclones to Earth's energy budget. She has supervised numerous students and contributes extensively through editorial roles, including as editor of Weather and Forecasting and former editor of Monthly Weather Review . Research Labs and Teams: She is a key member of collaborative research teams working on tropical cyclone dynamics and climate impacts, including international networks under the World Meteorological Organization (WMO) and partnerships with institutions in the US and Australia. Her work is highly collaborative, involving experts in meteorology, oceanography, public health, and remote sensing.