فیلترهای فعال:

جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۶۱-۷۵ از ۲۱۲ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Joung Ohمشاهده پروفایل

دانشیار

University of New South WalesAustralia

Associate Professor Joung Oh is affiliated with the School of Minerals and Energy Resources Engineering at the University of New South Wales (UNSW), where he teaches and conducts research in mining geomechanics , tunnelling , and rock mechanics for caving mechanisms . His expertise spans rock joint behavior, ground-structure interaction, and numerical modelling, with prior industry experience at Parsons Brinckerhoff in New York. PhD in Civil Engineering (Geotechnical) from University of Illinois at Urbana-Champaign Research focuses on borehole breakout analysis , hydromechanical coupling , and machine learning applications in stress estimation . Recent work includes nonlinear flow in rock fractures , shotcrete bonding mechanisms , and ground support systems in burst-prone areas . Publications emphasize numerical methods , rock anisotropy , and seismic event cascades in mining contexts. Scientific contributions include 15+ recent articles on topics like granite microcrack characterization , seismicity during hydraulic fracturing , and multiscale stress estimation . These works integrate acoustic emission tomography , UDEC-GBM simulations , and artificial neural networks for geotechnical analysis. Professional service involves editorial roles at International Journal of Mining Science and Technology and memberships in societies like the Society of Mining Professors and Australasian Tunnelling Society . Grants from ACARP funded projects on shotcrete effectiveness and horizontal stress estimation in coal mines.

پروفایل رسمی دانشگاه

Adrianne Jennerمشاهده پروفایل

مدرس ارشد

Queensland University of TechnologyAustralia

Dr Adrianne Jenner is a Senior Lecturer in the School of Mathematical Sciences at Queensland University of Technology (QUT). She holds a PhD in Applied Mathematics from the University of Sydney (2015-2019), and conducted postdoctoral research at the Université de Montréal (2019-2021) and the University of Sydney. Her research focuses on mathematical biology, particularly oncology, virotherapy, immunology, and agent-based modelling. She is an active member of professional societies including the Society for Mathematical Biology and the Australian Mathematical Society. Her teaching spans abstract mathematical reasoning, calculus, and mathematical biology applications. Jenner's research emphasizes computational approaches to understand disease mechanisms, including cancer drug resistance, tumor microenvironment dynamics, and in silico clinical trials. She has contributed to high-impact studies on topics like glioblastoma immunotherapy, coral bleaching, and multiple sclerosis pathogenesis. Jenner actively engages in public outreach, including media appearances on ABC and science festivals. Her work bridges theoretical models with real-world applications, leveraging agent-based simulations and Bayesian methods to address challenges in healthcare and environmental science. Jenner collaborates extensively with interdisciplinary teams to translate mathematical insights into actionable strategies for disease treatment and ecological conservation.

پروفایل رسمی دانشگاه

Shila Ghazanfarمشاهده پروفایل

پژوهشگر ارشد

University of SydneyAustralia

Dr. Shila Ghazanfar is an Australian Research Council DECRA Fellow at the University of Sydney, Faculty of Science. She is an expert in statistical and computational analysis of spatial transcriptomics and single-cell RNA-seq data, with a focus on developing bioinformatic approaches for integrating complex biological datasets across various omics modalities. Her educational background includes: Undergraduate studies in statistics and statistical bioinformatics at The University of Sydney PhD in statistics and statistical bioinformatics at The University of Sydney Royal Society Newton International Fellowship at The University of Cambridge under Dr. John Marioni in computational biology Dr. Ghazanfar's research interests center on developing statistical bioinformatic and biomedical data science approaches for meaningful integration of complex and high-dimensional biological datasets. Her multidisciplinary expertise spans statistics, statistical bioinformatics, and computational biology, enabling her to devise strategies to jointly model processes generating diverse data sources. Her work aligns with the University of Sydney Faculty of Science Research Strengths in Complex Systems, Precision and Digital Health, and Data and Decisions. Analysis of her recent publications (2021-2025) reveals strong focus areas including spatial transcriptomics infrastructure development, single-cell data integration methodologies, and applications in cancer research and cardiovascular biology. Key trends show progression from foundational method development to increasingly sophisticated multi-modal integration approaches, with significant emphasis on creating open-source computational tools for the research community. Her scientific recognition includes: Australian Research Council DECRA Fellowship Royal Society Newton International Fellowship Dr. Ghazanfar actively mentors research students, including Angel GUAN working on melanoma immunotherapy research. Her grant portfolio demonstrates substantial research support: 2023: Statistical Bioinformatics for Single Cell, Spatial and Multiomic Biotechnologies (Faculty of Science) 2022: Defining spatiotemporal mechanisms for peripheral nerve regeneration (Partnership Collaboration Award) 2022: Multiscale data integration for single cell spatial genomics (Chan Zuckerberg Initiative) Australian Research Council DECRA for statistical approaches in spatial genomics As a member of the Charles Perkins Centre, Dr. Ghazanfar participates in interdisciplinary research addressing complex health challenges through computational biology approaches, with collaborations spanning multiple domains from basic science to clinical applications.

پروفایل رسمی دانشگاه

Adnan Sufianمشاهده پروفایل

مدرس

University of QueenslandAustralia

Dr Adnan Sufian is an Honorary Lecturer at the School of Civil Engineering, University of Queensland, with expertise in multiscale mechanics of granular materials. His research bridges geotechnical engineering and computational modeling, focusing on fluid-soil interactions and civil infrastructure resilience. PhD from UNSW Sydney Visiting scholar at MIT Postdoctoral work at Imperial College London Industry experience with SMEC Australia His research addresses granular material behavior under complex conditions, including internal erosion dynamics in dams, particle migration in gap-graded soils, and seismic stability of engineered landfills. Methodologically, he employs CFD-DEM coupling , pore network models , and Voronoi tessellation for granular simulations. The 15 most recent publications highlight a focus on erosion mechanisms , filter design , seismic stability , and microcapsule retention in granular media. These works utilize computational methods (CFD-DEM, PNM-DEM) and experimental techniques (X-ray CT, time domain reflectometry) to analyze soil-fluid interactions. Dr Sufian is available for supervision, with current projects on resilient infrastructure and past completions investigating micro-scale erosion conditions and particle migration dynamics . His research has been supported by grants from ARC and UQ, including projects on real-time erosion prediction and geotechnical data integration. Key collaborations span physicists, mathematicians, and engineers , reflecting the interdisciplinary nature of his work on granular material behavior. The ARC Advance Timber Hub and partnerships with institutions like Imperial College London and UNSW Sydney further contextualize his academic network.

پروفایل رسمی دانشگاه

Travis Mitchellمشاهده پروفایل

مدرس

University of QueenslandAustralia

Dr. Travis Mitchell is a Lecturer at the School of Mechanical and Mining Engineering , The University of Queensland , and an affiliate of the Centre for Multiscale Energy Systems . He holds a PhD in Multiphase Computational Fluid Dynamics and dual degrees in Mechanical Engineering (BE Hons) and Mathematics (BSc). Education: PhD in Multiphase Computational Fluid Dynamics, The University of Queensland BE (Hons) in Mechanical Engineering, The University of Queensland BSc in Mathematics, The University of Queensland Research Interests focus on numerical modeling of multiphase fluid dynamics in porous media , with applications spanning CO2 electrolysis , hydrogen production via methane pyrolysis , biomedical fluid-structure interaction , and geomechanical fracture analysis . His methodological expertise includes Lattice Boltzmann techniques and high-performance computing . Recent Work Trends encompass multiphase transport in fractured media , gas diffusion electrode optimization , fiber-based air filter design , and thermocapillary flow modeling , reflecting his interdisciplinary impact in energy, health, and resource engineering. Scientific Recognition includes the ICMMES-CSRC Award for multiphase lattice Boltzmann research and an EAIT Citation for Excellence in Student Learning (2023) . Teaching Portfolio includes coordination of MECH2700: Computational Engineering and Data Analysis and lectures in MECH3780: Computational Mechanics and MECH6480: Computational Fluid Dynamics .

پروفایل رسمی دانشگاه

Rachael Isphordingمشاهده پروفایل

پژوهشگر ارشد

University of New South WalesAustralia

Rachael Isphording is a Research Fellow at Monash University specializing in climate science with a focus on benchmarking weather resources in climate models for renewable energy applications. Her work emphasizes stakeholder-informed science to support climate adaptation through robust, actionable climate information. Education: PhD from the University of New South Wales (UNSW), where she designed a framework to benchmark high-resolution rainfall simulations and tested its efficacy in improving stakeholder use of downscaled hydroclimate projections. Her research spans climate modeling , downscaling techniques , and benchmarking frameworks for regional climate projections. She is particularly invested in wind characteristics for renewable energy and high-resolution precipitation analysis , integrating science communication and co-design methodologies to translate complex climate data into practical adaptation tools for stakeholders. Analysis of her publication record reveals consistent development of standardized benchmarking protocols for climate model downscaling, primarily through the CORDEX framework across Australasia and Southeast Asia. Her work demonstrates increasing integration of machine learning for climate data management while maintaining core focus on precipitation and wind resource assessment for renewable energy planning. Rachael's research leverages international climate data initiatives including the Atmospheric Radiation Measurement (ARM) program and Coordinated Regional Climate Downscaling Experiment (CORDEX), reflecting active participation in global climate modeling communities. Her stakeholder-centered approach emphasizes practical application of climate projections for resilience planning against extreme weather events.

پروفایل رسمی دانشگاه

Madeline Carins Murphyمشاهده پروفایل

پژوهشگر ارشد

University of TasmaniaAustralia

Dr. Madeline Carins-Murphy is a Research Fellow at the School of Natural Sciences, University of Tasmania. Her work focuses on plant water transport systems under environmental stress, particularly drought and heat, with applications to climate change resilience in natural vegetation and crops. Education: B.Sc. (1st Class Hons., 2010) and Ph.D. (2016) from the University of Tasmania. Her research explores xylem vulnerability, stomatal coordination, and hydraulic recovery mechanisms, leveraging advanced imaging techniques like X-ray microtomography. Key projects include studying drought thresholds in plants and optimizing irrigation strategies for growers. She has secured competitive funding, including an ARC Linkage Project (2018), and collaborated with industry partners. Recent publications highlight her contributions to understanding xylem embolism, floral hydraulics, and hydraulic recovery in Eucalyptus. Her work has been cited extensively, with a field citation ratio indicating high impact. Scientific Awards: Travel grant to attend the Gordon Research Conference on Multiscale Plant Vascular Biology (Society for Experimental Biology). She has supervised doctoral students on topics like hydraulic vulnerability and plant water potential monitoring. Her current consultancy with TasNetworks Pty Ltd investigates drought-driven flammability to improve bushfire modeling.

پروفایل رسمی دانشگاه

Terry O'Kaneمشاهده پروفایل

استاد پژوهش

Commonwealth Scientific and Industrial Research OrganisationAustralia

Dr. Terry O'Kane is Senior Principal Research Scientist and Group Leader of Modelling the Earth System at CSIRO. He leads projects on causal inference in multiscale systems and development of the CAFE60 climate reanalysis system. Adjunct positions include professorships at University of Tasmania and ARC Centre for Climate Extremes. Research develops ensemble prediction systems for Earth's climate, focusing on data assimilation methodologies and decadal forecasting. The CAFE60 system provides large ensemble climate reconstructions spanning six decades, enabling probabilistic climate studies through open data access via Amazon Web Services. Professional recognition includes 2023 Fellowship of Australian Mathematical Society, 2022 Doctor of Science from University of Melbourne, and 2013 JH Michell Medal for applied mathematics. Dr. O'Kane co-chairs the World Climate Research Program Grand Challenge for Near Term Climate Forecasting and serves on multiple high-performance computing assessment panels.

پروفایل رسمی دانشگاه

Shahab Abdullaمشاهده پروفایل

دانشیار

University of Southern QueenslandAustralia

Dr. Shahab Abdulla is an Associate Professor at the University of Southern Queensland (UniSQ), affiliated with UniSQ College. His interdisciplinary research focuses on Artificial Intelligence, Bioinformatics, Control Systems, and Signal Processing. He holds a PhD from USQ and has over 25 publications in Q1 journals, primarily in Computer Science and Engineering domains. He leads the Advanced Data Analytics Modelling Research Simulation Group and supervises numerous PhD/Master’s students. Education: BSc in Mathematics from University of Technology (Baghdad, 1992) MSc in Mathematics from University of Technology (Baghdad, 1996) PhD in Engineering from University of Southern Queensland (2013) Research Interests: Dr. Abdulla specializes in AI models for healthcare, energy, and biomedical applications. His work includes deep learning, neural networks, and signal processing techniques. He collaborates globally with researchers in the Middle East, Europe, and Asia, delivering over 30 seminars. His research has been cited over 200 times in the last three years. Grants & Awards: While specific awards are not listed, his leadership has been recognized through institutional and professional acknowledgments. He has secured grants for projects like AI-driven coastal erosion modeling and quantum-resistant cryptography. Supervision: Currently supervising 5 PhD/Master’s students and has examined numerous theses. His supervision spans topics like AI in healthcare, cybersecurity, and sustainable agriculture. Labs & Teams: Leads the Advanced Data Analytics Modelling Research Group, focusing on interdisciplinary AI applications. Collaborates with industry partners on projects like smart solar trackers and flood risk prediction systems.

پروفایل رسمی دانشگاه

Stefano Piccardoمشاهده پروفایل

پژوهشگر ارشد

RMIT UniversityAustralia

Stefano Piccardo is a Research Fellow at RMIT Europe in Barcelona, Spain, as part of the ALCOAT Project. His affiliation with RMIT Europe highlights his role in advancing computational and mathematical research within the institution. While biographical details are limited, his work centers on multiscale modeling, fluid dynamics, and numerical methods such as hybridizable discontinuous Galerkin (HDG) approaches and NURBS-based geometries. Research Interests: Multiscale Modeling Fluid Dynamics Numerical Analysis Scientific Computing Computational Mathematics Advection-Diffusion-Reaction Systems His recent publications (2023–2025) focus on developing high-order numerical methods to address complex fluid flow problems, including two-fluid Stokes dynamics and advection-diffusion-reaction phenomena. These studies emphasize computational efficiency and accuracy in handling intricate geometries using NURBS and unfitted mesh techniques. No scientific awards or formal grants are explicitly mentioned in the provided texts. Stefano collaborates closely with researchers like Conni G, Perotto S, Giacomini M, and Huerta A, contributing to advancements in hybrid high-order methods and level-set schemes for multiphase flow simulations. He is affiliated with RMIT Europe’s research group, working on projects like ALCOAT that bridge theoretical and applied computational science.

پروفایل رسمی دانشگاه

Bettina Bergerمشاهده پروفایل

پژوهشگر

The University of AdelaideAustralia

Associate Professor Bettina Berger is a Grant-Funded Researcher (D) in the School of Agriculture, Food and Wine at the University of Adelaide. She holds a Master's degree in biotechnology and a PhD in plant molecular biology. Her career has focused on plant phenomics, with early work supported by a fellowship in the Australian Centre for Plant Functional Genomics. Since 2010, she has been pivotal in establishing and leading The Plant Accelerator , a national facility for high-throughput plant phenotyping under the Australian Plant Phenomics Facility (APPF). Her roles include developing novel screening techniques using automated imaging to study plant growth under salinity, drought, and nutrient stress. Research Interests: Salinity tolerance mechanisms in crops Plant-microbe interactions (e.g., arbuscular mycorrhizal fungi) Nutrient use efficiency and sustainable agriculture High-throughput phenotyping technologies Genetic dissection of abiotic stress responses Key Contributions: Pioneered non-destructive imaging approaches for studying plant responses to environmental stresses Managed large-scale phenotyping projects involving international collaborators Trained visiting students and researchers in modern phenotyping methodologies Advanced the use of hyperspectral imaging and X-ray tomography for plant analysis Labs & Facilities: Director of The Plant Accelerator , a state-of-the-art facility housing advanced imaging systems and growth chambers for plant research.

پروفایل رسمی دانشگاه

Paul Johnstonمشاهده پروفایل

پژوهشگر ارشد

Curtin UniversityAustralia

Geophysics
Glaciology
Geodesy
+۳ مورد دیگر

Dr. Paul Johnston is an Adjunct Research Fellow at Curtin University's School of Earth and Planetary Sciences, within the Faculty of Science and Engineering. His research focuses on geophysics, glaciology, and environmental science, with expertise in postglacial rebound modeling, sea-level changes, and geodetic techniques. He has conducted extensive studies on the impacts of glacial loads on Earth's crust and mantle dynamics, contributing to understanding historical ice volumes and tectonic responses. Dr. Johnston's work integrates advanced computational methods with geospatial data analysis, particularly using InSAR technology for deformation monitoring. His research also spans wildfire modeling, veterinary epidemiology, and paleoenvironmental reconstruction, reflecting interdisciplinary collaborations in Earth and planetary sciences. He has authored over 30 peer-reviewed publications since 1990, addressing topics ranging from climate-driven land movements to glacial chronology. His articles consistently explore interactions between Earth systems, such as the effects of deglaciation on seismic activity or the application of multiscale modeling for ecological disturbances. While no specific awards or grants are listed in the provided text, his contributions to geophysical and climatic research have been widely cited in fields like Quaternary science and geodynamics.

پروفایل رسمی دانشگاه

Mark Knackstedtمشاهده پروفایل

استاد

Australian National University (ANU)Australia

Mark Knackstedt is a Professor and Director of the ARC Training Centre for M3D Innovation at the Australian National University (ANU). He is affiliated with the Department of Materials Physics within the Research School of Physics and Engineering. His research focuses on advanced imaging techniques for complex materials, including 3D imaging of geological materials, pore-scale characterization, and digital materials analysis. Key areas include predicting material properties through computational analysis and high-resolution tomography. Education: BSc from Columbia University and PhD from Rice University. He supervises research students and leads multidisciplinary projects in energy and materials science. Research highlights include studies on CO₂ storage, metallurgical coke degradation, coal cleat characterization, and ore beneficiation using X-ray micro-CT. He directs major initiatives such as the ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing, fostering collaboration between academia and industry. Notable projects include hydraulic characterization of lithium brine cores and physico-chemical effects on CO₂ geostorage. His work bridges micro-to-nano scales in ore analysis and addresses challenges in carbon capture and resource efficiency.

پروفایل رسمی دانشگاه

Patrick Charcharمشاهده پروفایل

پژوهشگر

RMIT UniversityAustralia

Dr. Patrick Charchar is a Researcher in the School of Engineering at RMIT University, specializing in the Materials Modelling and Simulation Group. His research focuses on the physics-based molecular modeling of biomolecules and nanomaterials, particularly their interfaces in biomedical and industrial contexts. He holds a Postdoctoral Fellow position and supervises Master's and PhD students in topics like protein misfolding and aggregation phenomena. His work integrates computational and experimental approaches to advance nanomaterial design for drug delivery, biosensors, and contamination-resistant surfaces. Research interests include Theoretical Chemistry, Analytical Chemistry, Medicinal Chemistry, and Biomedical Engineering. Key projects involve developing nanoscale materials for diagnostics, drug delivery, and antimicrobial applications. Collaborations with industry partners like BlueScope (Australia) aim to enhance industrial sustainability and biomedical innovation. Dr. Charchar's research has been recognized through high-impact publications in journals such as Nature Communications , ACS Nano , and Journal of the American Chemical Society . He actively contributes to interdisciplinary teams exploring nanomaterials' mechanical and optical properties, leveraging supercomputing for predictive modeling. His group's work bridges fundamental science and applied engineering, with practical outcomes in healthcare and environmental sustainability.

پروفایل رسمی دانشگاه

Rami Al-Diriniمشاهده پروفایل

مدرس

Flinders UniversityAustralia

Rami Al-Dirini serves as a Lecturer in the College of Science and Engineering at Flinders University and holds an Early Career Researcher position at both the College of Science and Engineering and the Medical Device Research Institute. His academic profile is centered around biomechanical engineering with clinical applications. Research Focus: Dr. Al-Dirini's research integrates medical and synchrotron imaging with in-vivo and in-vitro experiments alongside multiscale finite element modeling. His primary objectives include evaluating existing prostheses performance to develop novel devices with improved functionality and studying bone and soft tissue biomechanics to understand injuries such as fractures and pressure sores. His work particularly addresses challenges faced by elderly populations and patients with chronic conditions including osteoarthritis, diabetes, spinal cord injuries, amputees, wheelchair users, and bed-ridden patients. Research Trends: Analysis of Dr. Al-Dirini's recent publications reveals a strong focus on orthopedic biomechanics, particularly in hip and knee arthroplasty procedures. His work consistently applies advanced imaging techniques and computational modeling to solve clinical problems, with increasing incorporation of simulation-based preoperative planning and patient-specific risk assessment. The research demonstrates a clear trajectory toward improving surgical outcomes through biomechanical understanding of implant-tissue interactions. Supervision and Expertise: Dr. Al-Dirini supervises in key areas including finite element analysis, biomechanics of bones and soft tissues, rehabilitation engineering, assistive technology development, and machine learning applications in medical contexts. His fingerprint analysis shows significant contributions to Finite Element Analysis (100%), Implant research (90%), Micromotion engineering (72%), and specialized areas including Total Hip Prosthesis (63%) and Total Knee Arthroplasty (59%). Research Infrastructure: As an Early Career Researcher at the Medical Device Research Institute, Dr. Al-Dirini leverages advanced facilities for medical imaging and biomechanical testing. His work contributes to UN Sustainable Development Goals related to good health and well-being through innovations in medical device development and injury prevention strategies for vulnerable populations.

پروفایل رسمی دانشگاه