جستجوی استاد راهنمای دانشگاهی

Emmanuel Alejandro Flores Johnsonمشاهده پروفایل

دانشگاهی

• Composite and hybrid materials
• Metals and alloy materials
• Numerical modelling
• +۹ مورد دیگر

Dr. Emmanuel Alejandro Flores Johnson is an Adjunct Senior Lecturer at the School of Mechanical and Manufacturing Engineering, Faculty of Engineering at the University of New South Wales (UNSW), and a Senior Structural Modeller at the Australian Nuclear Science and Technology Organisation (ANSTO). His research focuses on the performance of advanced structural materials under extreme conditions for applications in the nuclear industry and non-nuclear energy-generation systems using numerical modelling. Dr. Flores Johnson has extensive expertise in developing finite element simulations of non-linear material behaviour, including plasticity, damage and fracture mechanics, impact, and shock behaviour. His work spans various engineering materials and structures, including composites, metal alloys, polymers, concrete and bioinspired materials. He has been involved in international multi-disciplinary collaborations, industry-oriented projects, and defence projects requiring numerical modelling and experimental testing expertise. His research interests include: Composite and hybrid materials Metals and alloy materials Numerical modelling and mechanical characterisation Modelling and simulation Finite element analysis of non-linear material behaviour Plasticity, damage and fracture mechanics Dr. Flores Johnson's publication record demonstrates a strong focus on applying numerical methods to solve complex structural engineering problems, particularly in extreme environments. His recent work shows increasing emphasis on nuclear applications and non-nuclear energy systems, reflecting the growing importance of these sectors in materials research. Dr. Flores Johnson has received recognition for his contributions to structural modelling and materials science through various research collaborations and projects. His work bridges theoretical modelling with practical applications in critical industries. With over a decade of experience in both academic and research organization settings, Dr. Flores Johnson has developed a robust research program that combines advanced numerical techniques with experimental validation to address challenging problems in structural materials science.

• Granular Mechanics
• Geomechanics
• Landslide Modeling
• +۳ مورد دیگر

Dr. Benjy Marks is a Senior Lecturer in Geomechanics at the School of Civil Engineering, University of Sydney. He holds a BEng/BSc (Hons I) and PhD in Civil Engineering. His research focuses on granular materials, including landslides, avalanches, and industrial processes, with applications in geotechnical engineering, pharmaceuticals, and construction. He leads the Immersive Learning Laboratory, integrating VR technology into engineering education. Education: BEng/BSc (Hons I), PhD in Civil Engineering (University of Sydney). Research interests include granular segregation, material behavior under stress, and computational modeling. He collaborates with international institutions like Université Grenoble Alpes and the University of Oslo. His work bridges fundamental granular physics and practical engineering solutions, such as landslide mitigation and fiber-reinforced concrete analysis. Recent articles highlight machine learning for grain classification, VR educational tools, and granular flow dynamics. Grants include studies on extreme wear of geotechnical machinery and earthquake mechanics. He supervises projects like 'Understanding the Student Response to Learning Empathy in Australian Engineering Courses.' Labs/Teams: Immersive Learning Laboratory, SciGEM, and collaborations with global partners in granular mechanics.

James Pangمشاهده پروفایل

پژوهشگر ارشد

• Computational Neuroscience
• Magnetic Resonance Imaging (MRI)
• Neuroimaging
• +۳ مورد دیگر

Dr. James Pang is a NHMRC Emerging Leadership Fellow and Research Fellow at Monash University's School of Psychological Sciences. He holds adjunct roles at Queensland University of Technology (Adjunct Lecturer), the University of Queensland (Honorary Fellow), and QIMR Berghofer Medical Research Institute (Visiting Scientist). His research integrates biophysical models, neuroimaging, and brain connectivity to study mechanisms of brain function across health, disease, and species. Education: PhD in Physics, University of Sydney (2019) MSc Physics, University of the Philippines (2014) BSc Applied Physics, University of the Philippines (2012) Research Interests: Computational neuroscience, MRI-based brain mapping, connectome analysis, and neuroimaging techniques. His work focuses on geometric influences on brain function and disruptions in neuropsychiatric disorders. Recent projects include studying cortical asymmetries in psychosis and hierarchical brain organization. Key Projects (2020–2029): "Are Brain-Wide Activity Patterns Governed by Simple Connectivity?" (2025–2029) "A new approach to mapping and modelling brain changes in clinical disorders" (2025–2029) NHMRC Equipment Grant for neural circuit dynamics research (2023–2024) Awards: David van Essen Award (2018) Emerging Leader Award (2023) Excellence in Research Award (2023) Labs/Teams: Active collaborations with the Turner Institute for Brain & Mental Health and international groups in computational neuroscience. His work contributes to UN Sustainable Development Goals related to health and well-being.

• Manufacturing processes and technologies (excl. textiles)
• Numerical modelling and mechanical characterisation
• Energy generation, conversion and storage (excl. chemical and electrical)
• +۳ مورد دیگر

Professor Cheng Lu is a faculty member at the University of Wollongong, holding the position of Professor in the School of Mechanical, Materials, Mechatronic and Biomedical Engineering since 2018. He previously held roles such as Associate Professor (2013–2017), Senior Lecturer (2011–2012), and Research Fellow (2002–2008). His education includes a PhD (1993–1999) and B.E. (1989–1993) from Northeastern University, China. Research interests include Computational Material Science, Material Processing Technology, Fracture Modelling and Control, and Energy Generation. Key areas of focus are manufacturing processes, numerical modelling, and high-pressure material behavior. Over 500+ publications span topics like superconductivity, structural phase transitions, and pipeline failure analysis. Grants include major funding from ARC and industry partners, focusing on pipeline integrity, advanced materials, and tribology. Supervision of 30+ PhD/Master’s students covers themes such as hydrogen embrittlement, nanocrystalline metals, and pipeline fracture mechanics. Major facilities include in-situ microscopy and high-pressure testing equipment funded through collaborative grants.

Roslyn Hicksonمشاهده پروفایل

دانشیار

• Infectious diseases modelling
• Emerging infectious diseases
• Vector borne diseases
• +۷ مورد دیگر

Conjoint Associate Professor Roslyn Hickson serves as Science Leader for Emerging Infectious Diseases through a joint appointment between James Cook University and CSIRO. She holds affiliations with the Australian Institute of Tropical Health and Medicine (AITHM), Centre for Tropical Biosecurity (CTB), Centre for Tropical Environmental and Sustainability Science (TESS), WHO Collaborating Centre for Vector Borne Diseases, and previously with the University of Melbourne's School of Mathematics and Statistics. PhD in Engineering (Heat/Mass Transfer), UNSW Canberra 2010 Research Fellow, National Centre for Epidemiology and Population Health (ANU) Postdoctoral Research Fellow, University of Newcastle (2011-2014) Research Scientist, IBM Research Australia (2014-2018) Research Fellow, Australian Centre of Research Excellence in Malaria Elimination (University of Melbourne, 2018) Her research program focuses on mathematical modeling of infectious disease transmission with emphasis on emerging pathogens, zoonotic spillover events, and vector-borne diseases through One Health and biosecurity frameworks. She develops quantitative tools for risk assessment, surveillance optimization, and policy evaluation across Australian, Southeast Asian, and Pacific Island contexts. Current projects integrate ecological niche modeling, behavioral epidemiology, and multi-scale transmission dynamics to address challenges in pandemic preparedness and tropical disease control. Analysis of her 28 publications reveals consistent focus on mathematical frameworks applicable to real-world health security challenges. Her work spans influenza, dengue, malaria (particularly Plasmodium vivax), Japanese encephalitis, and bat-borne pathogens, with increasing emphasis on model reproducibility and policy translation since the COVID-19 pandemic. Key methodological contributions include multiscale modeling approaches, behavior-disease interaction frameworks, and spillover risk prediction systems. Victorian Young Tall Poppy Science Award (2018) ITS Award for Excellence in Research and Development (2020) Ria de Groot Prize for best female postgraduate student (2010) Two-time EmTech Asia Innovators Under 35 Finalist (2016, 2017) Corporate Social Responsibility Award (2017) As primary advisor for five doctoral candidates and multiple honours students, she supervises research on bat-pathogen ecology, feral pig zoonoses, and wildlife disease dynamics. Her committee service includes PREZODE international working group, Biosecurity Commons Advisory Panel, and editorial roles for BMC Infectious Diseases. Current research integrates ecological modeling with public health decision support systems through partnerships with WHO, CSIRO, and regional health authorities across the Indo-Pacific.

• Composite Materials
• Topology Optimization
• Additive Manufacturing
• +۳ مورد دیگر

Professor Liyong Tong is a Professor in the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney. He holds BSc and MEngSc degrees from Dalian University of Technology and a PhD from Beihang University. A Fellow of Engineers Australia (FIEAust) and Member of AIAA, his research focuses on advanced composite materials and computational optimization methods. Research Focus: Multiscale topology optimization of composite structures and metamaterials Additive manufacturing of functional composites and smart structures Machine learning applications in structural optimization Analysis and design of advanced composite materials and structures His recent publications demonstrate integration of machine learning with structural optimization, novel approaches for metamaterial design, and experimental validation of 3D-printed structures. Research trends show emphasis on computational efficiency in optimization algorithms and multifunctional material systems. Current Projects: Microcrack suppression in thermoplastic composites for cryogenic hydrogen storage (NSW Space Research Network) Mitigating micro-vibration in satellite devices using multiscale shear damping Development of novel algorithms for topology optimization of laminated composites

• Control and Dynamical Systems
• Systems Biology
• Synthetic Biology
• +۳ مورد دیگر

Edward Hancock is an academic researcher at the University of Sydney, with a focus on control systems and synthetic biology. He holds a BSc in Mathematics and BE from the University of Sydney, followed by a DPhil in Control and Dynamical Systems from Oxford University. His postdoctoral work included synthetic biology research at Oxford, with visiting positions at ANU, Imperial College London, and Caltech. His research interests span control systems theory, systems biology, and synthetic biology, with applications in lymphatic muscle cell modeling, biochemical feedback mechanisms, and gene regulatory networks. He has contributed to understanding calcium dynamics in lymphatic vessels, antithetic control systems, and metabolic buffering. Teaching responsibilities include QBIO2001, MATH2065, and supervision of the Sydney University undergraduate iGem team. His recent publications emphasize multiscale modeling of biological systems, with a focus on nonlinear dynamics and feedback control principles. Over 30 peer-reviewed articles and book chapters demonstrate his interdisciplinary approach to bridging engineering and life sciences. Labs/Teams: Active collaborations involve interdisciplinary groups in biomathematics, systems biology, and synthetic biology at international institutions.

Lian Xuمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Deep Learning
• Annotation-efficient learning
• +۵ مورد دیگر

Lian Xu is a Research Fellow in the Department of Computer Science and Software Engineering at the University of Western Australia (UWA). She holds a PhD from UWA (2021) and specializes in computer vision, deep learning, and annotation-efficient methodologies. Her work focuses on weakly supervised learning, multi-modal data fusion, and applications in healthcare, agriculture, and maritime surveillance. Education: PhD in Computer Science, University of Western Australia (2021) Research Interests: Weakly supervised semantic segmentation Multi-modal learning with vision and language Computer vision applications in healthcare and agriculture Efficient learning strategies for limited labeled data Her research output emphasizes techniques such as auxiliary task integration, token-based transformers, and spectral analysis for hyperspectral imaging. Recent work includes advancements in small object detection for maritime surveillance and crop stress classification using hyperspectral data. Awards: Recipient of the Award for Growth in Innovation and Entrepreneurship (2021) for contributions to applied research. Teaching & Engagement: Facilitated courses on computer vision (CITS4402) and visualization (CITS2401). Co-organizer of workshops at DICTA 2024, ACCV 2022, and VCIP 2021 on small object detection and deep learning limits. Grants: Co-investigator on the Empowering Robots with 3D Vision and Reasoning for Enhanced Home Assistance project (2024–2025).

Mark Fleggمشاهده پروفایل

مدرس ارشد

• Mathematical Biology
• Cell Biology
• Stochastic Processes
• +۴ مورد دیگر

Dr. Mark Flegg is a Senior Lecturer in the School of Mathematics at Monash University. He holds a PhD in mathematical modelling of aerosol physics from Queensland University of Technology (2010) and has completed postdoctoral research at the University of Oxford's Oxford Centre for Collaborative Applied Mathematics (OCCAM). His research focuses on applied mathematics in biological systems, including mathematical biology, cell biology, stochastic processes, and biomedical modelling. Education: PhD in Mathematical Modelling (Queensland University of Technology, 2010) Postdoctoral research at OCCAM, University of Oxford Research Interests: Mathematical Biology: Modelling malaria dynamics, wound healing, and developmental processes Stochastic Processes: Particle motion, enzyme kinetics, and reaction-diffusion systems Clinical Applications: Ultrasound in bone modelling and surgical site infection prevention Systems Biology: Signalling pathways (Wnt/β-catenin) and biochemical network analysis Projects & Grants: Controlling cell polarity and asymmetric cell division (ARC, 2016–2018) Stochastic mathematical modelling of the Wnt signalling pathway (ARC, 2014–2017) Lab Affiliation: Monash Academy for Cross and Interdisciplinary Mathematical Applications (MAXIMA), focusing on interdisciplinary research in mathematical sciences.

Antoine Marteauمشاهده پروفایل

پژوهشگر ارشد

• Numerical Analysis
• Partial Differential Equations
• Multiscale Modelling
• +۳ مورد دیگر

Antoine Marteau is a Research Fellow at the School of Mathematics, Monash University, specializing in numerical methods for multi-physics systems. He holds a PhD in Electrical Engineering (2024) and a Master's in Applied Mathematics (2020) from Grenoble Alpes University, with research bridging applied mathematics, computer science, and physical modeling. Education: PhD in Electrical Engineering, Universite Grenoblé Alpes, 2020-2024 (awarded April 3, 2024) Master in Applied Mathematics and Computer Sciences, Institut polytechnique de Grenoble, 2017-2020 (awarded April 15, 2021) Research Focus: Dr. Marteau develops advanced numerical discretization techniques for Partial Differential Equations on evolving surfaces, with expertise in finite element analysis of multi-physics problems, high-order spatial discretization, and Heterogeneous Multiscale Methods (HMM). His PhD work revolutionized understanding of dynamic magnetic hysteresis in heterogeneous media through novel homogenized magnetic field definitions. This research directly supports UN Sustainable Development Goals for industry innovation and clean energy infrastructure. Publication Trends: His sole 2024 output—a 194-page PhD thesis—exemplifies his concentrated focus on multiscale electromagnetic modeling. The work demonstrates consistent integration of computational mathematics with real-world engineering challenges, particularly in nonlinear transient phenomena and confined eddy current analysis. Future directions indicate expansion into surface PDE applications and high-order functional discretization. Professional Engagement: Dr. Marteau actively shapes academic discourse through conference leadership, having organized the 2024 Computational Techniques and Applications Conference and co-organizing the 2025 MATRIX workshop on Numerical Analysis of Interface and Multiphysics Problems. Advising & Resources: No current advisees or grant funding are documented in available records. Research Environment: While affiliated with Monash University's School of Mathematics, specific laboratory or team structures remain unreported.

Patricio Pincheira Mirandaمشاهده پروفایل

پژوهشگر ارشد

• Biomechanics
• Muscle Physiology
• Exercise Science
• +۲ مورد دیگر

Patricio Pincheira Miranda serves as an Honorary Research Fellow at the School of Human Movement and Nutrition Sciences, The University of Queensland. His research centers on biomechanical analysis of muscle function, with emphasis on eccentric exercise adaptations, muscle damage mechanisms, and neuromuscular control in athletic and clinical populations. He earned his PhD from The University of Queensland in 2020 with the dissertation "Exercise-induced muscle damage and the repeated bout effect in the human gastrocnemius muscle". His educational background includes advanced training in biomechanics and human movement science, though specific undergraduate and master's institutions are not detailed in the source material. His primary research interests span biomechanics, muscle physiology, and sports medicine, focusing on how muscles adapt to eccentric training, the mechanisms underlying the repeated bout effect, and regional variations in muscle activation. He employs sophisticated methodologies including statistical parametric mapping of EMG data, in vivo fascicle length measurements, and multiscale analysis of muscle architecture to investigate lower limb biomechanics during athletic movements and rehabilitation protocols. Analysis of his 15 most recent publications (2018-2025) reveals consistent specialization in hamstring and calf muscle biomechanics, with recurring themes of eccentric exercise adaptations, injury prevention, and rehabilitation techniques. His work demonstrates methodological innovation through integration of electrophysiology, imaging, and computational modeling, particularly in studying Nordic hamstring exercises, patellar tendinopathy interventions, and post-surgical recovery patterns. No scientific awards or major fellowships are documented in the provided information. The source material contains no details regarding graduate student supervision, research grants, or funded projects. His collaborative network appears extensive based on multi-institutional authorship patterns, but specific mentoring relationships are not disclosed. His research is conducted within the infrastructure of the School of Human Movement and Nutrition Sciences, with evident access to biomechanics laboratories equipped for electromyography, motion capture, and in vivo muscle imaging. Collaborative projects suggest connections with international research teams specializing in sports medicine and neuromuscular physiology.

• Materials Physics
• Porous Media
• X-ray Tomography
• +۲ مورد دیگر

Dr. Mahyar Madadi is a Research Fellow at the Australian National University , affiliated with the Materials Physics department. His work focuses on computational analysis of porous and granular materials using advanced imaging techniques like X-ray tomography. Research Interests Dr. Madadi's research spans multiple disciplines including Materials Physics , Geophysics , and Computational Modeling . Key areas of investigation include pore-scale fluid dynamics, elastic properties of granular media, and microstructural analysis of carbonates and foams. Publications His work demonstrates strong expertise in digital rock physics and computational materials science , with significant contributions to understanding relationships between microstructure and macroscopic properties in diverse systems from geological formations to synthetic foams.

Furqan Hussainمشاهده پروفایل

دانشیار

• Petroleum Engineering
• Carbon Sequestration
• CO2 Geosequestration
• +۲ مورد دیگر

Associate Professor Furqan Hussain is a distinguished academic at the University of New South Wales, Faculty of Engineering, specializing in petroleum engineering and carbon sequestration research. Based in the Tyree Energy and Technology Building at the Kensington Campus, he leads cutting-edge research in CO 2 geosequestration and enhanced oil recovery techniques. PhD in Petroleum Engineering from the University of New South Wales, Sydney, Australia BSc and MSc in Petroleum Engineering from the University of Engineering & Technology, Lahore, Pakistan Professor Hussain's research focuses on CO 2 geosequestration in aquifers and hydrocarbon reservoirs, with particular emphasis on enhancing feasibility in heterogeneous and low-pressure formations. His groundbreaking work includes the discovery of water-saturated CO 2 injection into oil reservoirs to simultaneously improve oil recovery and CO 2 storage capacity. His expertise spans petroleum engineering, carbon capture utilization and sequestration (CCUS), and laboratory investigation of CO 2 injection processes. His recent publications demonstrate a strong focus on addressing mobility control challenges in high-pressure reservoirs, pore heterogeneity effects in carbonate rocks, and fines migration phenomena during water injection. These works represent significant contributions to both petroleum engineering and environmental sustainability through carbon management. Professor Hussain is actively involved in research supervision, focusing on experimental investigation of CO 2 injectivity and trapping, co-optimization of CO 2 storage and oil recovery, and related areas including CO 2 -water wettability and trapping mechanisms. A spatio-temporal partitioning approach to colloidal flows in porous media (Australian Research Council / Discovery Project, 2020-2022) Multiscale physics for enhanced oil recovery (University of Adelaide / ARC Linkage Project, 2020-2023) Low Salinity Fines-Assisted Waterflooding (Wintershall Holding Gmbh, 2019-2021) EOR assessment phase-1 (Bridgeport Energy Limited, 2019-2021) Core testing – Boggabri Mine (Boggabri Coal Operations, 2019-2020) He teaches core petroleum engineering courses including PTRL 3001 Reservoir Engineering B and PTRL3040 Numerical Reservoir Simulation, integrating his research expertise into the classroom while exploring innovative teaching methods to enhance student engagement in engineering education.

• Exercise Science
• Sports Medicine
• Human Movement
• +۴ مورد دیگر

Maria Almarcha is a Postdoctoral Research Fellow at the School of Human Movement and Nutrition Sciences within the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. Her research focuses on the intersection of exercise science, human movement, and mental health, with a particular emphasis on personalized exercise prescription and embodied education. Her research interests span exercise science, sports medicine, and human movement, with specific focus on exercise prescription for health, creative dance and its impact on creative potential, transdisciplinary embodied education in STEM, proprioception assessment, and the network physiology of exercise. She investigates how exercise interventions can enhance mental health, interoceptive awareness, and overall well-being, particularly in the context of modern challenges like teleworking. Dr. Almarcha has published 7 journal articles from 2021 to 2024, demonstrating a consistent research trajectory in personalized exercise and embodied approaches. Her work often adopts transdisciplinary methods, integrating perspectives from physiology, psychology, and education to address complex health and movement issues. She is available for supervision of research students, indicating her active role in mentoring the next generation of researchers in her field.

• Computational Fluid Dynamics
• Turbulent Mixing
• Aerodynamics
• +۱ مورد دیگر

Michael Groom is an Associate Lecturer at the School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney. He holds a BSc in Applied Mathematics (2013, University of Tasmania), MPE (2016), and PhD (2020) in Aerospace Engineering from the University of Sydney. His research focuses on computational fluid dynamics, turbulent mixing, aerodynamics, and physics-informed machine learning. He has published extensively on Richtmyer-Meshkov instability, shock wave dynamics, and CFD applications. Notable grants include the 2022 Kirby Foundation grant and 2021 Open Philanthropy Project scholarship. He is a member of The Net Zero Institute and teaches AERO3260 and AERO3560 courses. Research interests include fundamental studies of compressible turbulence and applied aerodynamics, with recent emphasis on combining machine learning with physics-based methods. Major publications span journals like Journal of Fluid Mechanics and conferences such as the Australasian Fluid Mechanics Conference. His work bridges computational modeling and real-world applications in aerospace engineering.