جستجوی استاد راهنمای دانشگاهی

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.

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

• Sport Analytics
• Wearable Sensors
• Athletic Performance
• +۷ 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.

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

Alireza Heidarian is a Research Fellow in the Department of Mechanical & Aerospace Engineering at Monash University, affiliated with the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC). He holds a PhD in Mechanical and Manufacturing Engineering from RMIT University and is actively engaged in experimental and numerical research in fluid dynamics and energy systems. Research Interests: Dr. Heidarian's research focuses on experimental fluid dynamics , hydrogen energy systems , and applied microfluidics . His work spans high-speed flow diagnostics, multiphase flows, and advanced energy storage technologies. He applies fundamental fluid mechanics to solve real-world challenges in clean energy, biomedical devices, and industrial systems. Key areas include turbulent boundary layers, slurry electrodes for flowable batteries, and microfluidic platforms for hydrogen storage and drug delivery. Publication Trends: His recent publications (2017–2025) reflect a consistent focus on hydrogen storage in slurry electrodes , microfluidic reactor design , and aerodynamic analysis . The work combines experimental techniques like PIV with numerical modeling, emphasizing scalability and industrial application. Topics such as microbubble generation, current collector optimization, and ground effect aerodynamics demonstrate interdisciplinary reach. Scientific Contributions: Active contributor to UN Sustainable Development Goals, particularly in clean energy and sustainable infrastructure. Secured research funding from national and international agencies for multidisciplinary projects. Open-access publications with peer-reviewed impact in journals like Journal of Power Sources , Energy , and Physics of Fluids . Advising and Grants: Dr. Heidarian is currently accepting PhD students and has supervised research in experimental fluid mechanics and energy systems. He has led projects on hydrogen storage, compressed air energy systems, and biomedical microdevices, supported by competitive grants. His collaborations span institutions and industries focused on sustainable technology development. Laboratory Affiliation: He is a key member of the Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC), where he conducts advanced flow diagnostics and develops next-generation energy solutions using state-of-the-art experimental setups.

• Experimental Fluid Dynamics
• Hydrogen Energy Systems
• Applied Microfluidics
• +۷ 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.

• Fluid Mechanics
• Natural Convection
• Heat Transfer
• +۱۱ 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.

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

Nigel Rogasch is an Adjunct Senior Research Fellow in the School of Psychological Sciences at Monash University, Australia. His research focuses on understanding dynamic brain organization using transcranial magnetic stimulation (TMS) combined with EEG and MRI to probe cortical excitability, inhibitory mechanisms, connectivity, and neuroplasticity in both healthy and clinical populations, particularly schizophrenia. His research interests include: Transcranial Magnetic Stimulation (TMS) and concurrent TMS-EEG Brain oscillations and cortical network dynamics Neuroplasticity and GABAergic inhibition Working memory and cognitive control Neural mechanisms underlying schizophrenia and psychosis Development of neuroimaging data analysis tools (e.g., RELAX pipeline) The most recent articles highlight a strong trend in developing and validating automated EEG data processing methods (e.g., RELAX), investigating neurophysiological biomarkers for depression treatment response using TMS-EEG, and exploring neural correlates of meditation and cognitive control. His work bridges cognitive neuroscience, clinical psychiatry, and computational methods, contributing to both basic science and translational applications. Scientific awards are not explicitly mentioned in the provided text. Nigel Rogasch has been actively involved in research grants and projects funded by the NHMRC and the Brain & Behavior Research Foundation. He has led key projects such as Assessing GABAergic dysfunction in the prefrontal cortex of people with schizophrenia and Characterising and modulating corticostriatal connectivity in schizophrenia . He has also contributed as a Chief Investigator to collaborative initiatives like the Portable Neurophysiological Assessment Suite and the Brain Stimulation Equipment Suite grant. While no formal students are listed, his collaborative projects suggest mentorship and team leadership roles. He is affiliated with the Brain and Mental Health (BMH) Laboratory at Monash University, where he contributes to interdisciplinary research integrating neurostimulation, neuroimaging, and psychiatric disorders. His work emphasizes reproducible neuroimaging and portable assessment tools, indicating a forward-looking approach to scalable and accessible brain health technologies.

• Transcranial Magnetic Stimulation
• Neuroimaging
• Schizophrenia
• +۱۱ مورد دیگر

Mitchell McInerney is a Research Fellow in the Department of Biochemistry and Molecular Biology at Monash University, affiliated with the Monash Biomedicine Discovery Institute (Monash BDI). His research leverages advanced mass spectrometry techniques to investigate immunological processes and disease mechanisms, particularly in the context of drug discovery and metabolite identification. His research interests span mass spectrometry , immunology , pharmacology , and neuropharmacology , with a focus on understanding how biometals and ionophores influence P-glycoprotein expression at the blood-brain barrier. His expertise includes liquid chromatography, acoustic ejection, triple quadrupole, QTOF, and Orbitrap mass spectrometry, which he applies to diverse biological questions. The recent publications highlight a strong trend in both pharmaceutical formulation science and immunometabolism . His work bridges computational modeling, experimental pharmacology, and clinical translation, particularly in drug delivery systems and immune recognition of metabolites. The 2024 paper on MR1 and vitamin B6-related compounds marks a significant contribution to understanding T cell activation mechanisms. No scientific awards are currently listed in the provided text. Mitchell McInerney has collaborated extensively with researchers at Monash University, particularly within the pharmaceutical sciences and immunology domains. His work has been supported by institutional research infrastructure, though specific grants are not mentioned. He has co-authored multiple peer-reviewed articles, primarily in high-impact pharmaceutical and biochemical journals. He is involved in research teams focused on drug metabolism, blood-brain barrier transport, and immunological recognition, primarily operating within the collaborative environment of Monash BDI and MIPS.

• Mass Spectrometry
• Immunology
• Pharmacology
• +۷ 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.

• Gut Microbiome
• Nutrition Science
• Inflammatory Bowel Disease
• +۵ 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.

• Structural Engineering
• Numerical Modelling
• Sustainable Construction Materials
• +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.

• Steel Structures
• Concrete Structures
• Steel-Concrete Composite Structures
• +۷ 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.

• Forensic Anthropology
• Human Anatomy
• Cybercrime
• +۴ 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.

• Artificial Intelligence
• Machine Learning
• Digital Rock Analysis
• +۹ 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.

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

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