جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Cardiac Electrophysiology
• Neural Interfaces
• +۵ مورد دیگر

Overview Amr Al Abed is a Senior Lecturer at the Graduate School of Biomedical Engineering, University of New South Wales . He specializes in computational modeling, biomedical instrumentation, and electrophysiology with a focus on cardiac and neural systems. His work bridges biocomputational simulations with experimental validation, emphasizing translational applications like gene therapy delivery, medical devices, and brain-machine interfaces. Education PhD in Biomedical Engineering (UNSW, 2012) Masters in Biomedical Engineering (UNSW, 2006) Bachelor of Medical Sciences (1st Class Honours, UNSW, 2004) Research Interests His research spans: Optrode Technology: Development of liquid crystal-based optrodes for neural and cardiac sensing. Gene Electrotransfer: Novel methods for targeted DNA/RNA delivery using conductivity-clamped electric fields. Computational Cardiology: Multi-physics models of heart mechanics and fluid dynamics for surgical planning and device design. Neural Interfaces: Bidirectional stimulation/detection systems for retinal and neural prosthetics. Publications His 2023-2025 work highlights advancements in flexible electrode arrays , motorless robotic systems , and deep tissue gene delivery . Key themes include biomedical device innovation, computational modeling of cardiovascular systems, and neurotechnology. Grants & Labs Leads projects on liquid crystal optrodes and electrotransfer systems. Collaborates with labs focused on neural interfaces and cardiac electrophysiology. Active in IEEE and SPIE conferences with over 70 peer-reviewed publications.

• Composite Materials
• Computational Fluid Dynamics
• Finite Element Analysis
• +۲ مورد دیگر

Dr. Cam Minh Tri Tien (pronounced 'Tree') is a Postdoctoral Research Fellow at the Centre for Future Materials (CFM) within the University of Southern Queensland (UniSQ), based at the Toowoomba Campus. He is additionally affiliated with the Institute for Advanced Engineering and Space Sciences (IAESS), focusing on computational engineering applications for composite repair processes via digital twin technology. His professional credentials include Registered Professional Engineer status in Queensland (RPEQ 24545) and with Professionals Australia (RPEng 2408). His educational qualifications are: Bachelor of Engineering (BEng) from Ho Chi Minh City University of Technology Master of Science (MSc) from Konkuk University PhD in Computational Engineering from the University of Southern Queensland Research interests emphasize Composite Materials , Computational Fluid Dynamics (CFD) , Finite Element Analysis (FEA) , Discrete Element Method (DEM) , and Additive Manufacturing . With over 10 years of senior engineering experience across Vietnam, South Korea, New Zealand, the United States, and Australia, he integrates material science, thermodynamics, and fluid dynamics with advanced simulation techniques to solve complex engineering problems, producing visualizations to validate solutions. Dr. Tien operates within UniSQ's Centre for Future Materials and Institute for Advanced Engineering and Space Sciences, where his work bridges industrial engineering, multiphysics flows, and composite manufacturing. Teaching engagements include ENG3104 Engineering Simulations and Computations and ENG5105 Advanced Numerical Modelling, supported by 7 years of cumulative teaching experience (2 years tertiary, 5 years other contexts).

Methma Rajamuniمشاهده پروفایل

مدرس

• Computational Fluid Dynamics
• Fluid-Structure Interaction
• Bushfire Dynamics
• +۸ مورد دیگر

Methma Rajamuni is an Associate Lecturer at the School of Science, UNSW Canberra , with prior roles as Research Fellow (2023-2025) and Assistant Lecturer (2025-present). She holds a PhD in Mechanical Engineering from Monash University, an MSc in Applied Mathematics from Texas Tech University, and a BSc in Engineering from the University of Peradeniya. Her research spans computational fluid dynamics, fluid-structure interaction, and ember storm dynamics during bushfires, with expertise in numerical methods like immersed boundary and lattice Boltzmann techniques. Education: PhD, Mechanical Engineering (Monash University) MSc by Research, Applied Mathematics (Texas Tech University, USA) BSc, Engineering (University of Peradeniya, Sri Lanka) Research Interests: Methma specializes in fluid-structure interactions , particularly vortex-induced vibrations of bluff bodies and ember storm modeling in wildland-urban interfaces. Her work integrates bio-inspired insights with advanced numerical methods (immersed boundary, spectral element) to solve environmental and mechanical challenges. She has developed stable computational techniques for simulating complex systems like bushfire embers and vibrating cylinders. Recent Publications show a focus on boiling heat transfer , FSI acoustics , and microchannel cooling . Key trends include optimizing heat transfer via flow-induced vibrations and modeling ember storm dynamics using lattice Boltzmann methods. Scientific Awards: 2023: NCI Adaptor Allocation Grant ($12K) and UNSW Seed Funding ($27K) 2018: Monash Engineering Women's Leadership Award 2014: 1st Place in Annual Graduate Student Poster Competition 2010: Manamperi Engineering Award (Sri Lanka) Teaching & Supervision: Methma lectures in Rotorcraft Engineering , Fluid Mechanics , and Engineering Mathematics . She supervises PhD candidate Mohammed Ibrahim on microchannel boiling enhancement projects.

Travis Mitchellمشاهده پروفایل

مدرس

• Computational fluid dynamics
• Lattice Boltzmann methods
• Multiphase fluid dynamics
• +۳ مورد دیگر

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

• Mining Engineering
• Mine Safety
• Coal Mine Gas Management
• +۷ مورد دیگر

Professor Ting Ren is a leading academic in Mining Engineering and Mine Safety at the University of Wollongong. He holds a PhD from the University of Nottingham and has over 30 years of industry experience, focusing on dust mitigation, gas management, and computational modelling. He is affiliated with the School of Civil, Mining and Environmental Engineering and serves as an Adjunct Professor at China University of Mining & Technology. His research spans coal mine safety, geomechanics, and mine fire prevention, supported by over $4 million in industry and governmental grants. Education: PhD in Mining Engineering, University of Nottingham (UK). Key roles include leading industry-driven projects for BHP, Anglo American, and CSIRO. Awards include the BMAs Health & Safety Award (2009) and CSIRO's Partnership Excellence Award (2006). He has advised government committees and international bodies, such as the Queensland Coal Mining Board of Inquiry and the US National Academies. Research Interests: Underground mining methods, mine dust control, coal gas management, and computational fluid dynamics (CFD) applications in mining. Recent articles focus on tunnel stability, coal fracture mechanics, and dust mitigation via machine learning and VR-CFD tools. His work addresses global mining challenges, including spontaneous combustion and gas outburst risks. Grants and Leadership: Over 30 funded projects, including ARC Training Centres and ACARP initiatives. Serves as ERA Cluster Chair (Engineering) and collaborates internationally with institutions in China, India, and South Africa. Actively supervises PhD and MPhil students in dust monitoring, gas drainage, and composite materials for mining infrastructure. Labs/Teams: Leads the Mining Safety and Technology research group, focusing on innovative solutions for health and safety in underground operations. Collaborates with industry partners to develop practical applications of advanced modelling and protective technologies.

• Computational Fluid Dynamics
• Heat & Mass Transfer
• Fluid Mechanics
• +۲ مورد دیگر

Dr. Yuchen Dai is a Postdoctoral Research Fellow at the School of Chemical Engineering, University of Queensland (UQ), with expertise in computational fluid dynamics (CFD), microfluidics, and non-linear dynamic systems. He previously worked at Griffith University and the Queensland Micro&Nanotechnology Centre (QMNC) until 2023. PhD in Mechanical Engineering (2021), University of Queensland His research spans heat & mass transfer, fluid mechanics, and analytical methods, focusing on microfluidic devices for biomedical applications. Recent publications highlight innovations in droplet generation, cell separation, and viscoelastic fluid behavior. Dr. Dai has authored 10 journal articles (2018–2025) and 1 conference paper, covering topics like microfluidic particle manipulation , double emulsion stability , and liquid marble mixing . He is currently available for supervision.

• Biomedical Engineering
• Medical Imaging
• Cardiac Electrophysiology
• +۳ مورد دیگر

Dr Duc Nguyen Minh is a Research Affiliate at the School of Biomedical Engineering, University of Sydney, specializing in biomedical engineering applications for cardiac diagnostics and interventions. His work bridges medical imaging and electrophysiology through advanced impedance-based technologies. His research centers on electrical impedance tomography (EIT) and bioimpedance for real-time cardiac monitoring, particularly in radiofrequency ablation procedures and pulmonary embolism assessment. He develops novel algorithms for image reconstruction, multi-band signal processing, and anatomical integration to enhance diagnostic accuracy in critical cardiac conditions. Publications from 2019-2022 reveal a cohesive trajectory in refining EIT for clinical cardiac applications, with emphasis on simulation validation, phantom modeling, and region-of-interest optimization. Key themes include real-time ablation tracking, pulmonary blockage assessment, and hardware-software co-design for medical devices. Dr Nguyen Minh holds two major 2023 grants: an NHMRC Development Grant for the Aurora Microwave Ablation System targeting ventricular arrhythmias, and a National Heart Foundation Postdoctoral Fellowship developing non-invasive methods to improve post-heart attack ventricular tachycardia ablation. These projects underscore his translational focus on cardiac electrophysiology interventions.

• 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

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.

• Heat Transfer Augmentation
• Fractal Geometry Applications
• Computational Fluid Dynamics
• +۳ مورد دیگر

Foo Ji Jinn is a Senior Lecturer in Mechanical Engineering at Monash University Malaysia, specializing in heat transfer and turbulence mechanics. He holds a PhD from Nanyang Technological University and has held roles including Associate Professor and Research Director at SEGi University. His research focuses on novel heat transfer methods using fractal geometry to enhance thermal dissipation, funded by MOHE and DAIAKIN R&D. Key projects include fractal-induced turbulence optimization and thermochemical ablation for cancer treatment. Education: BS/MS (Mechanical Engineering, National Chung Cheng University), PhD (Mechanical Engineering, Nanyang Technological University) Postdoc: Max Planck Institute (2004–2008) Research interests revolve around turbulence-induced heat transfer enhancement, biomedical applications of fluid dynamics, and sustainable thermal systems. Collaborations span institutions in Malaysia, Singapore, Germany, and Taiwan. Notable work includes optimizing fractal grids for heat exchangers and computational studies on sonothrombolysis and thermochemical ablation. Active in UN SDG 7 (Affordable Clean Energy) and 3 (Good Health & Well-being). Publications (2013–2024) emphasize computational fluid dynamics, biomedical engineering, and turbulence modeling. Projects include 'Fractal Generated Turbulence' and 'Thermochemical Ablation Mechanisms'. Teaching commitments include MEC3458 (Experimental Project) and MEC4417 (Refrigeration & AC Systems).

• Underwater Acoustics
• Fluid-Structure Interaction
• Numerical Modeling
• +۳ مورد دیگر

Dr. Daniel Wilkes is an Adjunct Research Fellow at Curtin University's School of Earth and Planetary Sciences within the Faculty of Science and Engineering. His research focuses on computational acoustics, fluid-structure interaction, and numerical modeling of underwater and environmental noise, particularly in marine engineering contexts. He collaborates with the External Collaborative Research Centre for Marine Science and Technology, contributing to advancements in boundary element method (BEM) techniques and their applications in acoustic simulations. Wilkes' work spans experimental and numerical investigations of sound radiation from marine structures, such as impact-driven piles and offshore wind turbine foundations, with a focus on mitigating environmental noise impacts. He has developed parallel FMBEM (Fast Multipole Boundary Element Method) models for large-scale acoustic problems and contributed to benchmarking studies like COMPILE for marine pile-driving noise prediction. His publications emphasize coupled fluid-structure interaction (FSI) analysis, low-frequency elastodynamic modeling, and the optimization of numerical methods for complex acoustic scenarios. While no formal awards are listed, his extensive publication record reflects significant contributions to acoustic engineering and environmental noise management.

• Carbon Capture and Storage
• Thermal Energy Systems
• Gas Hydrate Technologies
• +۳ مورد دیگر

Dr. Richard Zhang is a Research Fellow at the ANU School of Engineering. His work focuses on carbon capture and storage, thermal energy systems, and bio-inspired designs for sustainable energy solutions. He holds a PhD from ANU (2025), a joint Master’s in Sustainable Energy from the Norwegian University of Science and Technology and Shanghai Jiao Tong University, and dual Bachelor’s degrees in Renewable Energy Engineering and Economics from Shanghai Jiao Tong University. Research Interests include gas hydrate technologies, phase change materials for thermal storage, and multiphysics modeling of heat and mass transfer. Notably, his work explores bio-inspired designs, such as red blood cell encapsulation for carbon capture systems. His publications (15+ in total) span applications in decarbonization, cold-chain logistics, and energy efficiency. Key contributions include advancements in hydrogen storage via nanoporous materials and CO₂ capture using hydrogel-based systems. Recipient of ANU 3MT Competition awards (2024) Collaborations with global institutions on energy and environmental projects Research emphasizes practical applications of novel materials and systems for addressing climate challenges.

Clay Guoyu Chuمشاهده پروفایل

مدرس

• High-Speed Electric Machines
• Permanent Magnet Synchronous Motors
• Multiphysics Multi-Objective Design Optimization
• +۵ مورد دیگر

Dr. Clay (Guoyu) Chu is a Lecturer and Senior Research Associate in Energy Systems at the School of Electrical Engineering and Telecommunications, UNSW Sydney. His work focuses on decarbonization through advanced electric drive and energy conversion technologies. Ph.D. (Electrical Engineering, UNSW Sydney, 2021) M.E. (Electrical Engineering, UNSW Sydney, 2016) B.E. (Electrical Engineering and Automation, Shandong University of Science and Technology, 2014) His research spans high-speed electric machines, permanent magnet motors, sensorless control, electromagnetic systems, and grid stability with renewable energy integration. Recent work emphasizes multiphysics design optimization, fault diagnosis, and wide bandgap switches for high-frequency drives. Dr. Chu's publications highlight advancements in interior permanent magnet synchronous machines (IPMSMs), loss minimization control, and zero sequence current analysis. Themes include motor efficiency, mechanical stress reduction, and fault-tolerant design for high-speed and renewable energy applications. Australian Research Council Early Career Industry Fellowship (2023, $447k) Malcolm Chaikin Prize for Research Excellence in Engineering (2023) Dean’s Award for Outstanding PhD Theses (2022) Third Prize Paper Award, IEEE ECCE (2024) He has secured over $1.7 million in grants, including ARC Discovery Projects and UNSW Faculty Infrastructure Funding. Dr. Chu contributes to teaching courses in electric drive systems, power electronics, and electromagnetic engineering.

• Plant Water Relations
• Stable Isotopes
• Soil Physics
• +۳ مورد دیگر

Danielle Griffani is a Lecturer in Engineering at the Faculty of Science and Engineering, Southern Cross University . With expertise in plant water relations and soil physics, she bridges engineering principles with plant physiology to study soil-plant-atmosphere interactions. Education: PhD (2019) and BEng (First Class Honors, 2013) from The University of Sydney, Graduate Diploma in Chartered Accountancy (2008), and BCom (2005) from the University of New South Wales. Her research develops analytical models and numerical tools to predict soil and plant responses to environmental changes, using stable isotopes, gas-exchange, and neutron imaging. Recent work focuses on plant hydration mechanisms under climatic extremes. Danielle teaches sustainable engineering, soil mechanics, geotechnical engineering, and mathematics units in the Bachelor of Engineering program. Her publications span hydraulic networks, isotopic enrichment, and transfer dynamics in fractured media. Scientific Awards: University Medal from The University of Sydney (2013).

Anne Boschmanمشاهده پروفایل

پژوهشگر ارشد

• Computational Mechanics
• Numerical Analysis of Partial Differential Equations
• Continuum Mechanics
• +۳ مورد دیگر

Anne Boschman is a Research Fellow at the School of Mathematics, Monash University. She holds a PhD in Mathematics from the University of Nottingham (2019–2023) and dual master’s degrees in Mechanical Engineering and Medical Engineering from Eindhoven University of Technology, Netherlands. Her research focuses on computational mechanics, numerical approximation of partial differential equations, and continuum mechanics, with an emphasis on moving interfaces and coupled dynamics. She develops unfitted finite element methods to model multiphysics systems, particularly in cardio electromechanics. Her recent work includes a 2024 study on bulk-surface continuum theory for fluid flows and phase segregation, integrating finite surface thickness effects. Collaborations span computational mechanics and applied mathematics. Boschman’s contributions bridge theoretical numerical methods with practical applications in biomedical and engineering systems. No scientific awards or grants are explicitly stated in the provided text. She has no listed advisees or students.