جستجوی استاد راهنمای دانشگاهی

Aleksandr Zinovievمشاهده پروفایل

پژوهشگر ارشد

• Additive manufacturing
• Metal 3D printing
• Materials science
• +۶ مورد دیگر

Aleksandr Zinoviev is a Senior Research Associate at the School of Engineering and Information Technology (SEIT) at UNSW Canberra, where he has been working since 2022. His research spans multiple institutions across the globe, including previous positions at Siemens Digital Industries Software in Belgium, University of Bremen and AMSIS GmbH in Germany, and Institute of Strength Physics and Materials Science of the Russian Academy of Sciences and Tomsk Polytechnic University in Russia. He has also conducted research stays at the University of Bremen (Germany) and São Paulo State University (Brazil). Dr. Zinoviev's research interests are highly interdisciplinary, focusing on metal additive manufacturing, thermodynamics of materials, computational materials science, solid mechanics, software engineering, and machine learning. He specializes in developing and applying novel knowledge-based approaches to address engineering challenges, particularly in improving materials and parts produced by advanced manufacturing, optimizing production processes, and enhancing data processing. His work bridges the gap between fundamental materials science and practical engineering applications, with a strong emphasis on computational modeling and simulation. Analysis of his recent publications (2021-2025) reveals a consistent focus on additive manufacturing process modeling, microstructure-property relationships in additively manufactured metals, and computational approaches to materials science. His research particularly emphasizes cellular automata modeling, multiscale simulation techniques, and the application of machine learning to materials processing. The publications demonstrate expertise in both experimental characterization and advanced computational methods for predicting mechanical behavior of additively manufactured components. Dr. Zinoviev actively mentors prospective PhD and Research Master's candidates, offering guidance on topics related to thermal modeling of additive manufacturing and process optimization. He has indicated that scholarships of up to $35,000 (AUD) are available for qualified candidates who achieved High Distinction in their undergraduate program and/or have completed a Masters by Research.

Shaoyu Zhaoمشاهده پروفایل

پژوهشگر ارشد

• Advanced composite structures
• Mechanical metamaterials
• Graphene nanocomposites
• +۳ مورد دیگر

Dr. Shaoyu Zhao is a Research Fellow (Level A) at RMIT University's School of Engineering. His research focuses on advanced composite structures, mechanical metamaterials, graphene nanocomposites, and molecular dynamics simulations. He holds an ARC DECRA Fellowship and has over 40 journal publications with 2000+ citations (h-index 26). Awards include the ICES2024 Best Paper Award and 2025 DECRA. He supervises Masters/PhD students in areas like metaconcrete and functionally graded structures. Editorial roles include Early Career Board Member for Engineering Structures (Q1), International Journal of Structural Integrity (Q1), and others. Teaching includes the course MIET1076 - Mechanical Vibrations. His work bridges nanoscale simulations (e.g., graphene interfaces) with macro-scale engineering applications (e.g., 3D-printed composites and metamaterial energy absorption). Research spans multi-physics phenomena in perovskite materials and machine learning-driven material analysis. Key Projects: Metaconcrete composites, origami metamaterials, graphene-reinforced nanocomposites Lab Focus: Multiscale modeling for aerospace composites and smart materials

• Renewable Energy Systems
• Thermal Energy Storage
• Building Energy Efficiency
• +۴ مورد دیگر

Professor Zhenjun Ma is a Professor and Deputy Director of the Sustainable Buildings Research Centre (SBRC) at the University of Wollongong. He holds a PhD from The Hong Kong Polytechnic University and has expertise in renewable energy systems, thermal energy storage, and building energy efficiency. His research focuses on advancing sustainable HVAC solutions, building control optimization, and demand flexibility in energy systems. He has received prestigious awards including the World Society of Sustainable Energy Technologies Innovation Award and Excellence in HVAC&R Research from AIRAH. Education: BEng and MSc from Xian Jiaotong University; PhD from Hong Kong Polytechnic University. Current academic roles include editorial board memberships in journals like Renewable Energy and Energy Conversion and Management , and leadership in initiatives like the NSW Decarbonisation Innovation Hub. Research Interests: Renewable energy integration in buildings, thermal storage technologies, data-driven building analytics, and grid-to-building energy systems. Active in over 40 funded projects, including grants from Australia's Department of Industry and the NSW Government. Awards: Invitational Fellowship from Japan Society for the Promotion of Science (2025), Fellow of AIRAH (2021), and multiple best paper awards. Supervises over 30 PhD/Master’s students on topics like energy flexibility optimization and net-zero building systems. Labs/Teams: Leads SBRC’s energy efficiency and sustainability research clusters. Collaborates with industry partners like BlueScope Steel on solar energy solutions.

• Biomedical Engineering
• Placental Biology
• Vascular Physiology
• +۴ مورد دیگر

Nikhilesh Bappoo is an Adjunct Research Fellow at the UWA Medical School, affiliated with the UWA Centre for Medical Research and the Harry Perkins Institute of Medical Research. He holds a Doctor of Philosophy (PhD) student status alongside a Master of Professional Engineering (2018) and a Bachelor of Philosophy (Hons) (2017), both from the University of Western Australia. His research focuses on placental vascular structure and hemodynamics, fetal growth restriction, and computational modeling of vascular diseases such as abdominal aortic aneurysms. Key areas include understanding how hemodynamic factors like shear stress influence placental function and aneurysm progression. He employs multidisciplinary approaches blending biomechanics, medical imaging, and computational simulations. Notable awards include the Materialise Mimics Innovation Award (2017), ASME Best Student Paper (2018), and a Convocation Postgraduate Research Travel Award (2019). His work contributes to UN Sustainable Development Goals related to good health and well-being. Research outputs span vascular network modeling, aneurysm biomechanics, and placental oxygen diffusion. Collaborations involve institutions globally, with recent studies exploring rare vascular conditions like pancreaticoduodenal artery aneurysms.

Adrian Sheppardمشاهده پروفایل

استاد

• Materials Physics
• Porous Media Analysis
• X-ray Tomography
• +۳ مورد دیگر

Prof Adrian Sheppard is a Professor in the Department of Materials Physics at The Australian National University (ANU). He holds a B.Sc. (Hons) from the University of Adelaide and a Ph.D. from ANU. His research focuses on porous media analysis, X-ray tomography, and carbon sequestration, with expertise in fluid dynamics, geologic storage, and advanced imaging techniques. He leads projects on CO2 geostorage, multiphase flow modeling, and high-resolution tomographic imaging. His work bridges materials physics, environmental science, and engineering, addressing challenges in energy storage and climate mitigation. He has supervised numerous research students and collaborates on initiatives like the ARC Training Centre for Multiscale 3D Imaging. Key research interests include pore-scale fluid dynamics, supercritical CO2 behavior, and X-ray microtomography applications. Over 200 publications highlight his contributions to understanding fluid trapping mechanisms, beam hardening correction in tomography, and multiscale imaging techniques. He has pioneered methods for analyzing heterogeneous materials and improving tomographic image quality. His projects span geologic carbon storage, additive manufacturing inspection, and environmental fluid dynamics. Prof Sheppard has secured 26 research grants, including projects on CO2 sequestration, X-ray source optimization, and advanced manufacturing. He advises on imaging technologies and leads ANU's efforts in multiscale materials characterization. His lab focuses on applying cutting-edge imaging tools to solve real-world problems in energy and environmental science.

Helen Byrneمشاهده پروفایل

استاد

• Mathematical Biology
• Cancer Biology
• Tissue Engineering
• +۳ مورد دیگر

Professor Helen Byrne is a Professor of Applied Mathematics at the University of Oxford’s Mathematical Institute and a Tutorial Fellow at Keble College. She specializes in mathematical modeling of biomedical systems, with a focus on tumor growth, wound healing, and tissue engineering. Her research bridges applied mathematics, statistics, and data science to address fundamental biomedical questions. She has held roles including Associate Head of Department (Planning & Equality), Senior Mathematics Tutor at Keble College, and Director of Equality and Diversity in the Mathematical, Physical and Life Sciences Division. Her work has been recognized through prestigious awards such as the 2021 Australian Laureate Fellowship and the 2019 Leah Edelstein-Keshet Prize. Her publications emphasize interdisciplinary applications of mathematical biology, including tumor-immune interactions, vascular dynamics, and epigenetic landscapes. Key contributions include modeling tumor-induced angiogenesis, liver assembloids, and atherosclerotic plaques. Current projects aim to develop novel mathematical frameworks for interpreting complex biomedical data. Research Grants: $3,021,288 ARC Australian Laureate Fellowship (2021) for 'New Approaches to Understand How Form and Function Shape Complex Systems.' Awards: 2021 Australian Laureate Fellowship (ARC) 2019 Leah Edelstein-Keshet Prize (Senior Award) 2020 Fellow of the Society for Mathematical Biology Labs/Teams: Part of the Mathematical Biology research group at Oxford, contributing to collaborative projects in tumor modeling and biomedical systems.

Socrates Dokosمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Computational Neuroscience
• Cardiology
• +۴ مورد دیگر

Associate Professor Socrates Dokos is Deputy Head of the Graduate School of Biomedical Engineering at UNSW Sydney. His research focuses on computational modeling of electrical and mechanical properties in excitable tissues, with over 160 publications and a sole-authored textbook on Modelling Organs, Tissues, Cells and Devices . He leads interdisciplinary work combining computational modeling, systems identification, and experimental electrophysiology. Current IEEE EMBC Editor for Computational Systems & Synthetic Biology Member of EMBS Technical Committee on Therapeutic Systems and Technologies Key research areas involve Cardiac electrical and mechanical function modeling Retinal neural stimulation simulations Electroconvulsive therapy (ECT) optimization Biomechanical modeling of tissues and devices Parameter optimization for ionic cell models Cardiovascular-rotary blood pump interactions His recent publications demonstrate expertise in multi-scale biological modeling, cardiac hemodynamics, retinal prosthetics, and therapeutic neuromodulation techniques. He actively engages in developing standards for the Modeling Markup Language (MML) framework. Contact: Room 506, Samuels Building (F25), UNSW Sydney. Email: s.dokos@unsw.edu.au . ORCID: 0000-0002-7399-2712

• Computational Mechanics
• Structural Crashworthiness
• Additive Manufacturing
• +۵ مورد دیگر

Professor Qing Li is a faculty member at the School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney. He obtained his PhD from Sydney in 2000, underwent postdoc training at Cornell University (2000-2001), and held academic roles at James Cook University (2004-2006). He joined Sydney in 2006 via a Sesqui senior lectureship, becoming Associate Professor in 2010 and Professor in 2014. He served as Director of Postgraduate Studies (2007-2012) and Director of Biomedical Engineering (2017-2019). Education: PhD (University of Sydney, 2000), ME (UTS), ME (Hunan) His research focuses on computational design, multidisciplinary optimization of nonlinear and time-dependent multifunctional materials, and biomedical applications. Key areas include additive manufacturing , biomechanics , and machine learning in structural reliability. Recent publications emphasize fracture modeling in biomaterials, reliability analysis, and tissue scaffold design. Recent publications highlight Bayesian learning for robotic systems, probabilistic transformation in reliability analysis, and phase field fracture models for additively manufactured composites. Collaborations with industry partners like Cochlear and Stryker span ARC , NHMRC , and MRFF projects. Awards: Clarivate Highly Cited Researcher (2020), Top 50 Australia Research Leader (2020), APACM Computational Mechanics Award (2016) Fellowships: ARC Future Fellow (2013-2017), ARC Australian Postdoctoral Fellow (2001) He supervises PhD students in projects like epidermal electrodes , Silver Diamine Fluoride remineralization , and virtual surgical planning . His leadership extends to the Centre for Advanced Materials Technology and editorial roles in computational methods journals.

Tomasz Woloszynskiمشاهده پروفایل

مدرس

• Biomechanics
• Medical Imaging
• Tribology
• +۲ مورد دیگر

Tomasz Woloszynski is a Lecturer in the School of Civil and Mechanical Engineering at Curtin University. His research focuses on medical image analysis of knee joints and numerical optimization of wear surfaces. He holds dual PhDs in Electronic Engineering from Wroclaw University of Technology and Mechanical Engineering from the University of Western Australia. Research areas include automated classification of wear patterns, surface texture analysis, and computational methods for diagnosing osteoarthritis from medical images. His work develops innovative approaches to characterize tribological surfaces and predict joint degeneration through advanced imaging techniques. Publication analysis shows consistent focus on tribology, surface engineering, and medical diagnostics. Recent work develops automated systems for wear surface classification while maintaining an ongoing research thread in osteoarthritis prediction using bone texture analysis and machine learning methods.

Da Chenمشاهده پروفایل

پژوهشگر ارشد

• Composite Structures
• Graphene Reinforcement
• Mechanical Engineering
• +۶ مورد دیگر

Dr. Da Chen is an Honorary Research Fellow at the School of Civil Engineering, The University of Queensland. His research focuses on composite structures, material mechanics, and structural analysis with applications in mechanical and civil engineering. Key Research Areas: Functionally graded porous materials, graphene reinforcement, multiscale modeling, thermal buckling, vibration analysis, and additive manufacturing. Publications: 28 journal articles, 4 book chapters, and 4 conference papers since 2014. Recent work includes machine learning applications for structural analysis and inverse design of porous systems. Email: d.chen@uq.edu.au

• Materials Science
• Mechanical Engineering
• Nanotechnology
• +۳ مورد دیگر

Dr. Xuliang Li is a Postdoctoral Research Fellow at the School of Mechanical and Mining Engineering, The University of Queensland, within the Faculty of Engineering, Architecture and Information Technology. His work focuses on advanced materials processing, particularly in precision machining of brittle solids and nanoscale surface engineering. Research Themes: Brittle material machining, graphene oxide applications, machine learning integration in manufacturing, and multiscale modeling of deformation mechanisms Recent Publications: 14 studies (2019-2024) covering nanoscratch mechanics, laser 3D-printed ceramics, and innovative polishing techniques Funding: Currently developing ductile grinding techniques for dental prostheses applications (2025-2026) Expertise: Available for supervision in advanced manufacturing and materials science domains Key areas include computational modeling of grinding processes, hybrid nanoparticle suspensions, and ductile-to-brittle transition analysis. His collaborations span multiple disciplines in mechanical engineering and materials science.

• Applied mathematics
• Numerical and computational mathematics
• Advection-diffusion-reaction models
• +۷ مورد دیگر

Dr. Elliot Carr is a Senior Lecturer in the School of Mathematical Sciences at Queensland University of Technology (QUT), Faculty of Science. He holds a PhD in Mathematics from QUT and has been a faculty member since 2015, progressing from Lecturer to his current rank. His research and teaching focus on applied and computational mathematics, with strong interdisciplinary applications. Education: PhD in Mathematics, Queensland University of Technology, 2009–2012 Bachelor of Applied Science (Honours) in Mathematics, QUT, 2008 Bachelor of Mathematics, QUT, 2005–2007 Elliot Carr's research lies at the intersection of applied mathematics and real-world physical systems. His work centers on developing and analyzing mathematical models of advection, diffusion, and reaction processes, particularly in heterogeneous media. He employs both deterministic (PDE-based) and stochastic (random walk) frameworks, contributing to analytical solutions, multiscale modeling, surrogate models, and numerical methods such as finite volume and Newton-Krylov techniques. His research has been applied to diverse fields including groundwater contamination, drug delivery, heat transfer, and tumor spheroid modeling. The latest publications reflect a consistent focus on transport phenomena in complex geometries and heterogeneous environments. Key themes include dual-grid mapping for contaminant transport, analytical modeling of drug release from spherical capsules, thermal diffusivity in shell geometries, and stochastic models of biological systems. His methodological contributions span analytical, numerical, and statistical approaches, demonstrating versatility across applied mathematics. Scientific Awards and Recognitions: JH Michell Medal, ANZIAM (2022) ARC DECRA Fellowship (2015) QUT Outstanding Doctoral Thesis Award (2012) University Medal, QUT (2008) Dean’s Award for top graduate in both Honours and Bachelor programs Keynote and plenary speaker at major conferences including ANZIAM and Forum “Math-for-Industry” Dr. Carr actively supervises PhD and Masters students, with completed and ongoing projects on diffusive transport, tumor modeling, and sports analytics. He has secured competitive research funding, including an ARC Discovery Project on multiscale modeling. His teaching includes computational mathematics, linear algebra, and differential equations, with a focus on MATLAB-based implementation. He is a member of the Australian Mathematical Society (AustMS) and ANZIAM. Research Labs and Teams: While not explicitly tied to a named lab, Carr is part of the broader Applied Modelling and Computation research environment at QUT. He collaborates extensively with researchers such as Ian Turner, Matthew Simpson, and Chris Drovandi, contributing to interdisciplinary teams in mathematical biology, environmental modeling, and statistical computation.

Yu Jingمشاهده پروفایل

مدرس ارشد

• Subsurface rock characterization
• Fluid flow in porous media
• Pore-scale characterization
• +۷ مورد دیگر

Dr. Yu Jing is a Scientia Senior Lecturer in the School of Minerals and Energy Resources Engineering at the University of New South Wales (UNSW). She holds a PhD in Petroleum Engineering from UNSW and specializes in characterizing subsurface formation rocks to understand underground fluid flow behaviors including natural gas, oil, and groundwater. Education: Doctor of Philosophy, Petroleum Engineering, University of New South Wales, Australia Master of Engineering, Petroleum Engineering, University of New South Wales, Australia Bachelor of Engineering, Petroleum Engineering, Southwest Petroleum University, China Dr. Jing's research focuses on pore-scale characterization of rocks using micro-CT imaging and modeling multiphysics flow transport in underground formations. Her work spans digital core analysis, fractured formation rock characterization, flow simulation of underground fluids, and micro-CT imaging techniques. She has developed computational tools like DigiCoal for coal core characterization. Her publication portfolio shows a strong trend toward advanced imaging techniques for understanding coal properties, particularly related to carbon sequestration, coalbed methane extraction, and fluid flow in fractured media. Recent work emphasizes multiscale modeling approaches and experimental validation of transport phenomena in porous media. Scientific Awards: Asian-Australian Leadership Award Finalist in Education, Science & Medicine (2024) The Rising Stars, Asian Deans' Forum (2023) Equity & Diversity Excellence Award - UNSW (2020) Future Women Leaders Conference Award - UNSW (2019) Scientia Fellowship - UNSW (2019) Dr. Jing actively supervises numerous PhD students working on diverse topics from CO2 geosequestration to critical metal recovery. She has secured significant research funding including ARC Research Hub for Fire Resilience Infrastructure ($4.9 million), UNSW-Chinese Academy of Sciences Collaboration Grant, and multiple ANSTO Australian Synchrotron Beamtime grants. Her professional engagement includes serving as Associate Editor for the Journal of Energy Engineering and as Communication Officer for the InterPore Australian Chapter. She leads research activities through the MUTRIS research group (www.mutris.unsw.edu.au), focusing on digital core analysis, fractured media characterization, and subsurface flow simulation. Her work bridges fundamental research with practical applications in energy transition and sustainable resource extraction.

• Mechanics of Materials
• Impact Engineering
• Multi-Scale Modelling and Characterisation
• +۷ مورد دیگر

Professor Luming Shen is a distinguished academic in the School of Civil Engineering at The University of Sydney. With over two decades of experience in mechanical behavior of materials research, he leads cutting-edge investigations at the intersection of civil engineering, materials science, and computational mechanics. His work spans multiple scales from nano to macro, focusing on fundamental understanding that can be applied to real-world engineering challenges in water purification, structural safety, and sustainable infrastructure. Professor Shen's educational background includes: Bachelor's degree in Building Engineering from Tongji University, China Master's degree in Structural Engineering from Tongji University, China PhD in Civil Engineering from the University of Missouri-Columbia, USA Professor Shen's research focuses on the mechanics and behaviors of materials across multiple scales. His primary interest lies in understanding both brittle materials (concrete, rock, glass) and ductile materials (aluminum, titanium, metals). Two major thrusts of his work include nano-mechanics and materials research, particularly developing carbon nanotube membranes for water purification, and studying novel composite materials under impact and extreme loading conditions for applications in blast-resistant structures and vehicle safety. He employs high-performance computing for molecular and macro-level analyses, complemented by physical laboratory testing. Professor Shen's extensive publication record demonstrates a consistent focus on multiscale modeling of materials behavior, with recent work emphasizing granular materials dynamics, carbon nanotube applications, 3D-printed concrete technology, and energy storage systems. His research shows a clear evolution toward increasingly complex multiphysics problems that integrate mechanical, thermal, and fluid dynamics phenomena at multiple scales. The interdisciplinary nature of his work bridges civil engineering, materials science, computational mechanics, and environmental engineering, with applications spanning from fundamental material science to practical civil infrastructure solutions. Professor Shen actively supervises multiple research students, including Yifang Cao working on 3D printing concrete, Jiangshuai Meng studying granular materials under impact loads, and Runda Wang applying machine learning to rock burst prediction. His research is supported by access to advanced computational resources and laboratory facilities at The University of Sydney, particularly through his membership in The University of Sydney Nano Institute. The university has provided specialized space and equipment necessary for conducting physical tests on materials under high-speed impact conditions. Professor Shen maintains active laboratory facilities for conducting physical tests on materials under various loading conditions, particularly high-speed impact testing. His work is supported by computational resources for molecular dynamics and multiscale modeling. As a member of The University of Sydney Nano Institute, he collaborates with interdisciplinary researchers working at the nanoscale, particularly in applications related to water purification technologies using carbon nanotube membranes.

• Renewable Energy
• Thermal Storage
• Food Engineering
• +۹ مورد دیگر

Professor Azharul Karim is a leading academic and researcher in the Faculty of Engineering at Queensland University of Technology (QUT), specifically within the School of Mechanical, Medical & Process Engineering . He holds the rank of **Professor** and is the Director of the Advanced Drying and Sustainable Energy Research (ADSER) Group . His research focuses on advanced drying processes, renewable energy, food engineering, and lean manufacturing, with over 230 peer-reviewed publications and an h-index of 46. He has secured A$4 million in research grants and pioneered innovations like ultrasonic washing machines and solar drying systems. Education: PhD in Engineering from the University of Melbourne. Leadership Roles: Academic Lead for International and Engagement at QUT, Course Leader for the Master of Engineering Management, and Editor of journals like Drying Technology and Nature Scientific Reports . Awards: Advance Queensland Fellow, Smart Queensland Fellow, Global Engineering Education Award (2018), and multiple international recognitions for interdisciplinary contributions. Teaching: Leads real-world project-based learning (PBL) programs and teaches units in Heating, Ventilation, Advanced Manufacturing, and Quality Management. Patents: Includes ultrasonic washing/dishwashers, solar drying systems, and microwave-convective drying technologies. Research Impact: Focuses on sustainable energy, food quality preservation, and lean healthcare systems to optimize resource use in emergency departments. Grants and Projects: 21 grants totaling A$4M, including A$555K for Microwave-Assisted Solar Dryer research. His work bridges fundamental science and industrial applications, addressing global challenges in food processing, energy efficiency, and healthcare logistics.