جست‌وجوی استاد و پژوهشگر

David Tsaiمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Microelectronics
• Neural Interfaces
• +۴ مورد دیگر

Dr. David Tsai is a Senior Lecturer at the University of New South Wales (UNSW), jointly appointed between Biomedical Engineering and Electrical Engineering. He leads the Biomedical Microsystems Lab , focusing on miniature microelectronic devices for brain-machine interfaces and subcutaneous biosensing. His research has been continuously funded by the NHMRC since 2013, including an ongoing Ideas grant for soft brain-machine interfaces. He has secured >$3.8M in total funding, with support from the Kavli Foundation and ARC Linkage Infrastructure Grants . His work has appeared in Nature Communications , Nature Nanotechnology , and IEEE Transactions on Biomedical Circuits and Systems . Scientific Recognition: IEEE EMBC Student Paper Award (twice) IEEE EMBC Best Papers Award NHMRC CJ Martin Fellowship (2013-2017) Kavli Foundation Postdoctoral Fellowship (2012-2013) Education: PhD in Biomedical Engineering (2012), UNSW MBiomedE (2007), UNSW BE (Software, First Class Honours) (2007), UNSW Research Themes: Development of ultra-dense microelectrode arrays for cellular-resolution electrophysiology, computational modeling of retinal responses to electrical stimulation, and standardization of neurotechnology data formats. His lab collaborates with industry partners like LeafLabs LLC , BlackRock Microsystems , and Contactile .

• Mechanical Engineering
• Structural Engineering
• Materials Science
• +۷ مورد دیگر

Prof Zhen (Jeff) Luo is a Professor at the School of Mechanical and Mechatronic Engineering at the University of Technology Sydney (UTS). Since 2012, he has led the Advanced Metamaterials & Metastructures (AMM) and Engineering Computation and Optimisation (ECO) research groups, focusing on multi-disciplinary engineering innovations. Expertise : Advanced materials design, topology optimization algorithms, additive manufacturing, and computational mechanics. Education : PhD in Mechanical Engineering from Huazhong University of Science and Technology (2005). His research bridges Mechanical, Structural, Aerospace, and Biomechanical Engineering , developing cutting-edge metamaterials and computational methods. Recent work includes two-scale lattice optimization , stochastic bandgap analysis , and machine learning-aided virtual modeling for structural reliability. Key contributions span 3D-printed heat sinks , frequency-selective surfaces , and hydrogen storage systems . As a World’s Top 2% Scientist (Stanford, 2019–present), he has secured over AUD $7 million in grants, including from the Australian Research Council (ARC) and National Intelligence Discovery Research Grants (NI220100074). Awards : IAAM Scientist Award, IAAM Fellow. Leadership : Editorial roles in Structural and Multidisciplinary Optimization , Frontiers in Bioengineering and Biotechnology , and organizing roles in 21 international conferences.

Adnan Sufianمشاهده پروفایل

مدرس ارشد

• Geotechnical Engineering
• Granular Materials
• Internal Erosion
• +۳ مورد دیگر

Academic Profile Dr. Adnan Sufian is a Senior Lecturer in Geotechnical Engineering at the School of Civil & Environmental Engineering, University of New South Wales (UNSW Sydney). He holds a PhD (2017) and BE (2012) in Civil Engineering from UNSW, with research visits to MIT. Prior academic roles include positions at Imperial College London and the University of Queensland. He also has industry experience at SMEC Australia on major infrastructure projects. Research Focus Dr. Sufian specializes in multi-scale mechanics of granular materials, investigating fluid-particle interactions through computational (DEM, CFD-DEM), experimental, and theoretical approaches. His work addresses geotechnical challenges including erosion, landslides, and contaminant transport, with applications in infrastructure, environmental management, and industrial processes. Current projects focus on internal erosion in dams, particle migration, and climate-resilient infrastructure. Publications & Trends Recent articles (2019-2025) demonstrate strong emphasis on granular material behavior under hydraulic/mechanical stresses, featuring advanced computational techniques like pore-network modeling and coupled CFD-DEM. Key themes include internal erosion mechanisms, filtration dynamics, soil-fluid interactions, and microstructural analysis. Publications consistently appear in top geotechnical journals including Geotechnique and Computers and Geotechnics . Awards & Recognition Best Paper Award (Early Career Researcher), Australasian Conference on Computational Mechanics (2019) Best Paper Award (Postgraduate Student), Australasian Conference on Computational Mechanics (2015) UNSW Geotechnical Discipline Prize (2011) Grants & Projects ARC Discovery Early Career Researcher Award (2024-2026): Predicting internal erosion in dams using real-time coupled experiments ARC Early Career Industry Fellowship (2023-2026): Safeguarding dams/levees from internal erosion NSERC Alliance Award (2023-2024): Internal erosion in hydroelectric dams (with Zheng) Research Leadership Supervises HDR projects on transport processes in granular media, particle shape effects on erosion, and flood-impacted infrastructure. Collaborates with physicists and mathematicians to study emergent granular phenomena. Co-organizes the European Working Group on Internal Erosion Symposium and holds memberships in the Australian Geomechanics Society and Engineers Australia.

Ehab Hamedمشاهده پروفایل

دانشیار

• Structural Engineering
• Concrete Structures
• Time-Dependent Behavior of Materials
• +۶ مورد دیگر

Associate Professor Ehab Hamed is a faculty member at the University of New South Wales (UNSW) , holding the rank of Associate Professor within the School of Civil and Environmental Engineering . He is affiliated with the Centre for Infrastructure Engineering and Safety (CIES) and actively contributes to research, teaching, and professional service in structural engineering. Education : He earned his B.Sc. (2000), M.Sc. (2003), and Ph.D. (2007) in Civil/Structural Engineering from the Technion – Israel Institute of Technology . Research Interests : Time-dependent behavior of concrete and composite structures Creep and shrinkage in concrete FRP composites in construction Precast concrete systems and sandwich panels Viscoelastic behavior of materials Finite element modeling of structural systems Recent Research Trends : His 2024–2025 publications emphasize advanced concrete technologies, including geopolymer and alkali-activated concretes, ultra-high-performance seawater/sea-sand concrete, and the durability of composite systems under sustained and environmental loading. Simplified design approaches for precast sandwich panels and mesoscale modeling of creep are also prominent. Scientific Awards : 2019 – Australia-China Young Scientists Exchange Program 2007 – Tuvia Netzer Memorial Fund Award for Outstanding Ph.D. Dissertation, Technion Grants & Funding : 2024–2026 : “Next Generation Concrete Pipes: Rubberized Solutions”, Tyre Stewardship Australia, $297,900 2024 : UNSW Research Infrastructure Scheme grants totaling $396,000 for testing equipment 2017–2019 : ARC Discovery Project on high-strength composite columns, $435,500 2012–2018 : Three additional ARC Discovery Projects exceeding $1 million on concrete creep and sandwich panels Professional Memberships & Service : He serves on technical committees of FIB , ACI , ISO , PCI , Standards Australia , and the International Institute for FRP in Construction . He teaches courses in Steel & Composite Structures, Structural Analysis, Advanced Concrete Structures, and Engineering Mechanics.

• Sport Analytics
• Wearable Sensors
• Athletic Performance
• +۷ مورد دیگر

Dr. Alice Sweeting is a Research Fellow at Victoria University's College of Sport, Health & Engineering, with a co-appointment at the Western Bulldogs Football Club. Her work bridges sport science, wearable technology, and data analytics to enhance athletic performance in team sports such as Australian Football and netball. PhD, Victoria University, 2017 BAppSc (Hons), Victoria University, 2012 Her research focuses on using wearable sensors, inertial measurement units, and machine learning to analyze athlete movement, skilled behavior, and performance under various constraints. She applies ecological dynamics and the constraints-led approach to understand how individual, task, and environmental factors shape performance in real-world contexts. Her recent publications reveal a strong trend in the application of advanced statistical methods (e.g., change point analysis), machine learning for movement classification, and the development of representative training designs. She frequently publishes in high-impact journals such as Journal of Sports Sciences and Frontiers in Physiology , often collaborating with experts in biomechanics, sports analytics, and motor learning. Alice is actively involved in research supervision, currently co-supervising six postgraduate students on projects related to kicking performance, player tracking, and tactical behavior in AFL. She has secured competitive research funding, including a Fusion Sport Innovation Connections grant focused on health and fitness monitoring in racquet sports. Member, Course Advisory Committee (CAG), 2025 She is also engaged in professional outreach through her blog on programming in R, Twitter, and LinkedIn, demonstrating a commitment to knowledge translation and open science.

Nir Eynonمشاهده پروفایل

استاد

• Epigenetics
• Ageing
• Exercise Physiology
• +۳ مورد دیگر

Nir Eynon is a Professor at the Australian Regenerative Medicine Institute, Monash University. He holds an NHMRC Investigator EL2 Fellowship (2021-2025) and has led major projects including the Gene SMART study. His research focuses on epigenetic mechanisms in aging, exercise adaptations, and sex differences, leveraging multi-omics approaches (DNA methylation, transcriptomics, proteomics). Educated at the University of Porto (PhD in Genetics and Exercise, 2010), Eynon’s work has generated over 100 high-impact publications (h-index 45, 5600+ citations). He currently supervises six PhD students and four postdoctoral researchers, with a record of training six PhD graduates to completion. Research interests include: (1) Epigenetic clocks and biological aging quantification, (2) Sex-specific responses to exercise, (3) Muscle and bone interactions across the lifespan. His lab integrates wet-lab and computational methods for omics data analysis. Recent publications highlight breakthroughs in blood methylome mapping (Genome Biology) and gender-affirming hormone therapy effects (Journal of Physiology). Awards include the 2023 Hevolution/AFAR New Investigator Award and 2024 Australian Epigenetic Alliance Award. Grants led include ARC DP projects and NHMRC equipment grants. Collaborations span global institutions studying teleost models (fish) for muscle aging insights.

Gregory Sheardمشاهده پروفایل

استاد

• Fluid Mechanics
• Natural Convection
• Heat Transfer
• +۱۱ مورد دیگر

Gregory Sheard is a Professor in the Department of Mechanical and Aerospace Engineering at Monash University, where he leads the Sheard Lab. He has been a permanent faculty member since 2006 and is actively involved in research, teaching, and PhD supervision. His work is centered on computational fluid dynamics, with applications in natural convection, heat transfer, and magnetohydrodynamics. Research Interests: His research spans fluid mechanics , heat transfer , magnetohydrodynamics (MHD) , flow stability , and rotating flows . He develops advanced numerical codes based on spectral-element methods to simulate incompressible flows, including linear stability and transient growth analyses. His work contributes to UN Sustainable Development Goals related to clean energy and sustainable infrastructure. Publication Trends: His recent publications (2023–2025) show a growing interdisciplinary focus, combining fluid dynamics with renewable energy systems, particularly in hydrogen production , microgrids , and techno-economic analysis . Earlier works emphasize fundamental fluid mechanics, including quasi-2D flows , wake dynamics , and thermal convection . The integration of computational modeling with real-world energy applications marks a significant evolution in his research trajectory. Faculty of Engineering Kenneth Hunt Medal Monash University Mollie Holman Doctoral Medal Young Researcher Fellowship Award for Exemplary Research in Fluid Mechanics Advising and Grants: Dr. Sheard has supervised 8 PhD students to completion and examined 9 PhD theses and over 150 journal manuscripts. He has secured over $2.2 million in nationally competitive grant funding and maintains continuous access to high-performance computing facilities worth over $100,000 annually. He is actively accepting new PhD students for research in natural convection, MHD, bluff-body flows, and rotating flows. Laboratory and Professional Engagement: He founded and maintains The Sheard Lab , which specializes in high-fidelity numerical simulations of fluid flows. He has organized major conferences, including the 9th Australasian Natural Convection Workshop (2015) and the International Conference on Computational Fluid Dynamics in the Minerals and Process Industries (2006, 2009, 2012). He has chaired numerous technical sessions and advised on international conference committees.

• Multiscale Modelling
• Nanomaterials
• Bio-inspired Materials
• +۳ مورد دیگر

Dr. Yuan Cheng is an Adjunct Professor in Materials Science & Engineering at the Monash Suzhou Research Institute, part of Monash University. She holds a PhD from the National University of Singapore (2008) and a Bachelor's from Fudan University (2003). Previously, she worked as Senior Scientist and Group Manager at Singapore's Institute of High Performance Computing (2007–2021) and was a visiting scholar at Brown University (2009). Her research focuses on multiscale modeling of bio-inspired materials , nanomaterial mechanical properties , machine learning for materials science , and skin research with consumer and wearable applications . She leads projects like the 'Hydrogel sensor-based drug delivery system for skin disease theragnostic' (2024–2028). Her work contributes to UN Sustainable Development Goals related to sustainable cities, health, and innovation. Education: Bachelor's: Mechanics & Engineering Science, Fudan University (2003) PhD: Mechanical Engineering, National University of Singapore (2008) Dr. Cheng has published over 100 journal papers (H-index 37) and is a Fellow of the International Association for Computational Mechanics. Her awards include the Suzhou Industrial Park Young International Discipline Leaders (2021). She edits journals like International Journal of Computational Methods and Nanoscale Advances . Her recent projects emphasize flexible nanomaterials , machine learning-driven drug design , and biomedical sensor development . She actively supervises PhD students in bio-inspired materials modeling and nanomaterial applications.

• Gut Microbiome
• Nutrition Science
• Inflammatory Bowel Disease
• +۵ مورد دیگر

Claus Christophersen is an Adjunct Research Fellow at Curtin University's School of Molecular and Life Sciences (MLS) within the Faculty of Science and Engineering. His research focuses on gut microbiome dynamics, dietary interventions, and their impacts on health across life stages—particularly in athletes, infants, and pregnant individuals. He also contributes to methodological advancements in environmental DNA analysis and biomarker validation. Key research areas include microbiome modulation via prebiotics and resistant starch, immune-microbiome interactions in neurodevelopment, and metabolic consequences of dietary behaviors during pregnancy. His work spans clinical trials, longitudinal studies, and bioinformatics pipelines for genomic data analysis. Recent publications highlight investigations into athlete microbiome responses to training loads, maternal-infant microbiome interactions during pregnancy, and the role of sun exposure in skin permeability changes during pregnancy. Collaborations with clinicians and nutritionists underscore his interdisciplinary approach to translational research. Notable contributions include methodological innovations for bile acid quantification and eDNA analysis, as well as insights into dietary fiber effects on metabolic health and colorectal cancer risk mitigation through butyrate modulation.

Chi King Leeمشاهده پروفایل

استاد

• Structural Engineering
• Numerical Modelling
• Sustainable Construction Materials
• +۷ مورد دیگر

Professor Chi King Lee is a full Professor in the Department of Civil Engineering at the School of Engineering & IT, University of New South Wales (UNSW) Canberra, Australia, a position he has held since June 2015. Prior to this, he served at Nanyang Technological University (NTU), Singapore, as Lecturer (1998–2000), Assistant Professor (2000–2001), and Associate Professor (2002–2015). He earned his PhD from Imperial College London in 1996, with earlier degrees from the University of Hong Kong. His research spans: Structural and numerical engineering Sustainable construction materials (e.g., green concrete, ECC) Protective engineering (blast, impact, progressive collapse) Steel structures and integrated sustainable design His recent publications reflect a strong focus on sustainable materials, structural resilience under extreme loads, and advanced numerical modelling. He has over 190 journal articles, 11 book chapters, and serves on the Editorial Board of Engineering Structures . He actively supervises PhD students and offers competitive scholarships. Scientific contributions include: Editorial Board, Engineering Structures (2021–present) Consultant for PSA Singapore and structural software firms Extensive publication record in high-impact journals He mentors PhD candidates in sustainable materials and protective engineering, with research supported by institutional and industry collaboration. His work integrates numerical simulation, experimental validation, and practical application in civil and defence infrastructure.

Amin Heidarpour Esfarjaniمشاهده پروفایل

دانشیار

• Steel Structures
• Concrete Structures
• Steel-Concrete Composite Structures
• +۷ مورد دیگر

Amin Heidarpour Esfarjani is an Associate Professor in the Civil Engineering Department at Monash University . He serves as the Head of the Structural Engineering Group and Coordinator of Engineering for Extremes . His research focuses on the structural behavior of steel, concrete, and composite systems under extreme loads, including fire, blast, impact, and earthquake. Recent publications highlight his work in rock mechanics (creep behavior under static-dynamic stress states), CFRP-reinforced steel structures , and corrosion effects on high-strength steel . His work integrates computational mechanics and innovative tubular construction methods, aligning with UN Sustainable Development Goals. Engineers Australia Excellence Award (Finalist) (2022) Gold Winner Accolade (2023) Innovation of the Year (2023) Institution of Structural Engineers Research Award (2021) Outstanding Associate Editor (2023) Heidarpour Esfarjani leads national research projects on physical fire simulation, steel guardrail impact performance, and heavy-duty waler loading. His collaboration with industry partners like Coates Hire and BaoEngineering demonstrates practical applications of his research. He actively participates in international conferences, including the International Symposium on Industrialized Construction Technology 2025 , and contributes to editorial boards and thesis examinations globally.

Rachel Berryمشاهده پروفایل

دانشیار

• Forensic Anthropology
• Human Anatomy
• Cybercrime
• +۴ مورد دیگر

Dr. Rachel Berry is an Associate Professor in the School of Medical Sciences at UNSW's Faculty of Medicine and Health, specializing in forensic anthropology, human anatomy, and cybercrime research. Her work bridges biomedical engineering with forensic applications, particularly in human decomposition analysis and AI-generated child sexual abuse material (CSAM) investigations. Education: BSc (Hons) Forensic Anthropology MSc Forensic Human Identification MPhil Forensic Stable Isotope Profiling PhD Biomedical Engineering GradCert Learning and Teaching in Higher Education Her research spans forensic anthropology, human decomposition dynamics, and cutting-edge cybercrime analysis. Current projects include Trends and Patterns in AI Generated Child Sexual Abuse Material (CSAM) in NSW (2024, $5,800) and AI and Cyber Futures Seed Funding (2024, $10,000). She pioneered 3D documentation protocols for decomposition studies and investigates post-mortem movement patterns through time-lapse imaging. Publication trends reveal an evolution from biomedical engineering (2014-2017 gastric electrophysiology studies) to forensic anthropology (2019-2023 decomposition research), culminating in 2024's focus on AI-generated CSAM analysis. Her work increasingly integrates digital forensics with traditional anthropological methods. Awards: UNSW Award for Educational Excellence (2023) UNSW Award for Adaptability and Innovation (2020) As a Consultant Forensic Anthropologist for FHID, she supervises research in child exploitation, cybercrime, and human anatomy. Her teaching portfolio includes ANAT2521 (Forensic Anthropology) and functional anatomy courses across UNSW's Medicine program campuses. Current grants focus on AI-generated CSAM trends and cybercrime prevention.

• Artificial Intelligence
• Machine Learning
• Digital Rock Analysis
• +۹ مورد دیگر

Dr. Ying Da Wang is a Lecturer in the School of Minerals and Energy Resources Engineering within the Faculty of Engineering at the University of New South Wales. She is based in the Tyree Energy Technologies Building and specializes in the intersection of artificial intelligence and petroleum engineering, with a focus on digital rock analysis and energy transition technologies. PhD: 2020, UNSW, Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis and micro-CT Imaging Dr. Wang's research centers on applying machine learning techniques to solve complex problems in digital petrophysics and energy systems. Her work spans three primary areas: Machine Learning Methods for Digital Petrophysics, Efficient and Massive Computations of Pore Scale Flow, and Underground Hydrogen Storage. She has developed expertise in using computational fluid dynamics, particularly lattice Boltzmann and pore network modeling approaches, to analyze multiphase flow in porous media. Her research directly addresses critical challenges in carbon capture and storage, hydrogen storage, and enhanced oil recovery, contributing to Australia's energy transition and climate change mitigation strategies. Analysis of Dr. Wang's publication record reveals a clear trajectory focusing on the integration of artificial intelligence with traditional petroleum engineering methods. Her recent work shows increasing emphasis on energy transition technologies, particularly carbon sequestration and hydrogen storage, reflecting the global shift toward sustainable energy solutions. The interdisciplinary nature of her research bridges computational science, machine learning, and subsurface engineering, creating novel approaches to longstanding challenges in the energy sector. Dr. Wang actively supervises research projects with keywords including hydrogen storage, carbon capture and storage, artificial intelligence, artificial neural networks, reservoir simulations, multiphase flow, computational fluid dynamics, lattice Boltzmann, pore network, porous media, and x-ray CT image processing. She teaches courses in Enhanced Oil Recovery (2021), Production Engineering (2021), and Business Practices in the Petroleum Industry (2020, 2021), preparing the next generation of engineers for both traditional and emerging energy sectors.

• Climate Modeling
• Atmospheric Science
• Environmental Science
• +۱ مورد دیگر

Julia Andrys serves as a Lecturer at Murdoch University, specializing in computational climate research within Australia's academic landscape. Her research centers on regional climate modeling, utilizing Australia's most advanced high performance computing infrastructure to analyze atmospheric systems. This work bridges environmental science and computational physics, emphasizing predictive modeling of regional climate patterns through cutting-edge computational techniques and resource-intensive simulations.

Shuang Aoمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Reinforcement Learning
• Curriculum Learning
• +۴ مورد دیگر

Mr. Shuang Ao is a Postdoctoral Research Fellow at the School of Computer Science and Engineering, University of New South Wales (UNSW Sydney). He earned his PhD from the University of Technology Sydney in January 2024. His research focuses on machine learning, reinforcement learning, and curriculum learning, with applications in robotic control and antibody drug discovery. Research Interests: Machine Learning Reinforcement Learning Curriculum Learning Graph Algorithms Optimization Techniques Recent Publication Trends: Shuang's work spans large language models for location-based recommendations, spatio-temporal forecasting, reinforcement learning frameworks, and graph algorithm optimizations. His articles address both theoretical advancements and practical applications in scalable systems and data analysis. Contact: Email: shuang.ao@unsw.edu.au