Haiyang Zhao is a Researcher at RMIT University's School of Engineering, specializing in multi-scale modelling for expansive soils and advanced materials analysis. His work focuses on waste management, computational modelling, and composite materials, with applications in civil engineering and environmental sustainability. He holds a PhD and is actively engaged in research projects involving discrete element method (DEM) simulations for soil, concrete, and granular materials. Key research interests include: Fracture mechanics of concrete and rock-like materials Recycled aggregate concrete performance DEM-based modelling of granular systems Biomineralization processes in geotechnical engineering He is open to supervising Masters and PhD students in topics such as multi-scale material modelling and sustainable construction materials. His research has been published in high-impact journals, with a focus on advancing numerical methods and experimental validation techniques.
Dr. Saidul Islam is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), Australia. He joined UTS as a Senior Lecturer on July 5, 2024, having previously served as a Lecturer (May 2022-July 2024), Scholarly Teaching Fellow (May 2019-May 2022), and Postdoctoral Research Fellow (January-December 2018) at the same institution. Dr. Islam completed his PhD in Mechanical Engineering from Queensland University of Technology (QUT), Brisbane, Australia. Dr. Islam's research spans multiple critical areas in engineering and environmental science. His primary expertise lies in computational fluid dynamics (CFD), Discrete Element Method (DEM), machine learning applications in fluid systems, thermofluids, thermal management, energy storage technologies, phase change materials, and biomedical modeling. His work addresses pressing global challenges including sustainable energy systems, air pollution impacts on respiratory health, and advanced thermal management solutions for electronics and industrial applications. His research has significant implications for clean energy technologies (SDG 7), industrial innovation (SDG 9), and climate action (SDG 13). Analysis of Dr. Islam's recent publications reveals a strong focus on energy storage systems, particularly metal hydride hydrogen storage and phase change materials for thermal management. His work integrates computational modeling with experimental validation, increasingly incorporating machine learning techniques to optimize thermal systems. There's a clear trajectory toward addressing environmental sustainability through low-GWP refrigerants and clean energy technologies, while simultaneously advancing biomedical applications through sophisticated modeling of particle transport in human airways. Best Early Career Researcher (ECR) Paper Award (2019) High-Achiever HDR Student Award QUT (2017) Best Paper Award (2015) Nomination for Outstanding PhD Thesis Award (2018) Nomination for Vice-Chancellor Teaching Award-QUT (2017) Dr. Islam actively supervises Masters and PhD students in research areas including multiphase flow, CFD-DEM, human lung modeling, energy storage, PCM, hydrogen energy, heat and mass transfer, bush fire and air quality, and thermofluids. His funded research projects include 'Decarbonising commercial and industrial process heating in Australia' (2024-2025), 'Caloric heat management space technology' (2023-2024), 'Enabling Resilient Space Computing with Advanced Thermal Management' (2023-2024), and 'Mechanical Ventilation of Stenosis Airway and Targeted Drug Delivery' (2019-2021). He serves as a guest editor for special issues on occupational respiratory health and heat wave impacts, and as an editor for International Journal of Fluid Engineering and PLoS ONE.
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.
Mandy Plumb is an Associate Professor in Clinical Exercise Physiology at the School of Science and Technology, University of New England (UNE), Armidale Campus. Her work integrates neuroscience, motor control, and sports science to address critical gaps in pediatric neurodevelopmental disorders and female athlete development, with strong community engagement through The Female Co initiative. Education: Bachelor of Clinical Exercise Physiology (2023), University of New England PhD in Orthopaedic Surgery (2005), University of Aberdeen, Scotland, UK BSc (Hons) in Sports Science (2000), University of Wales, Bangor, UK Research Interests: Dr. Plumb's primary focus spans two interconnected domains: (1) Pediatric neurodevelopmental disorders, where she investigates motor proficiency, sleep patterns, and mental wellbeing in children with ADHD, Autism, and Developmental Coordination Disorder using fNIRS brain imaging and biomechanical analysis; and (2) Female athlete development, particularly for Aboriginal and Torres Strait Islander women and girls from remote Australia, through The Female Co's holistic programs combining athletic testing, strength conditioning, and recovery monitoring. Her work bridges clinical exercise physiology with community-based interventions to address health disparities. Publication Trends: Analysis of her 15 most recent publications (2019-2024) reveals three dominant research thrusts: motor control in neurodevelopmental disorders (35% of articles), sports injury epidemiology in cricket (27%), and female athlete performance optimization (20%). Methodologically, she increasingly employs neuroimaging (fNIRS) alongside biomechanical analysis, with growing emphasis on community-level interventions and health equity for underserved populations. Scientific Awards: Senior Fellow, Higher Education Academy Advising and Grants: Dr. Plumb has successfully supervised 3 PhD, 50 Master's, and 46 Honours students to completion, with current mentorship of 1 MPhil and 1 Master's candidate. Her research is supported through strategic partnerships with Exercise and Sports Science Australia (serving on Course Accreditation Committee since 2021), Sports Medicine Australia, and The Female Co, focusing on grants related to neurodevelopmental interventions and athlete development programs for remote communities. Labs and Teams: As Board Member and Athletic Performance Lead for The Female Co, she directs comprehensive programs including baseline athlete testing, sleep monitoring, strength and conditioning, and recovery protocols for emerging female athletes from discrete remote regions. Her campus-based work utilizes UNE's motor control laboratories equipped for fNIRS, motion capture, and biomechanical analysis, with strong ties to the Applied Agricultural Remote Sensing Centre for community health mapping.
Santiago Badia is a Professor of Computational Mathematics at Monash University's School of Mathematics since 2019. Previously, he held roles at UPC (Universitat Politècnica de Catalunya) as Professor of Computational Science and Engineering (2009–2019) and was an adjunct researcher at CIMNE (Barcelona), leading the Large Scale Scientific Computing Department. He earned his PhD in 2006 from UPC, with prior work at Politecnico di Milano (2006) and Sandia National Labs (2007–2008). His research focuses on numerical approximation of PDEs using finite element methods, with applications in fluid/solid mechanics, electromagnetics, and multiphysics problems. He leads high-performance computing projects like FEMPAR (scalable PDE solvers) and Gridap (Julia-based PDE framework). His work includes perfect weak scalability on supercomputers and solving PDEs with up to 60 billion unknowns. Research interests span computational science, numerical analysis, parallel computing, and numerical linear algebra. Projects address challenges in fusion energy, additive manufacturing, and nuclear waste repositories. He actively supervises PhD students through funded projects, emphasizing computational modeling and simulation. Collaborations include international teams in geophysical fluid dynamics and stochastic inverse problems. His software frameworks (FEMPAR, Gridap) are widely used for industrial and academic research, emphasizing scalability and usability.
Dr. Nick Brown is a Senior Lecturer at RMIT University's School of Engineering, specializing in Humanitarian Engineering and Engineering Education. He co-leads the Humanitarian Engineering Lab, focusing on sustainable development through innovative teaching and research. His roles include Academic Lead for Learning and Teaching Innovation (2024–present), and he has held positions since 2018. Dr. Brown's academic journey includes a PhD from the University of Edinburgh (UK), with prior experience as Research Lead at Engineers Without Borders Australia. Research Interests: Humanitarian Engineering, Engineering Education, Environmental Engineering, Water, Sanitation, and Hygiene (WASH), Sustainable Development, and Disaster/Development Contexts. He integrates experiential learning into curricula, emphasizing global challenges and community-focused solutions. Awards: Australia Award for University Teaching, multiple Engineers Australia and RMIT awards, and Fellowship from the Higher Education Academy (UK). Key Projects: Climate Justice in Bangladesh, Uncrewed Aerial Systems in Humanitarian Action, Social Enterprise in Post-Disaster Reconstruction, and WASH in Timor-Leste. His work aligns with UN SDGs like No Poverty, Quality Education, Clean Water, and Climate Action. Teaching Contributions: Developed the Humanitarian Innovation minor, coordinated large engineering courses (e.g., 1,200+ students), and led curriculum reforms emphasizing WIL (Work-Integrated Learning) and industry collaboration.
Dr. Guilherme Barros serves as a Research Fellow at the University of Newcastle within the School of Engineering and Centre for Geotechnical Science and Engineering, specializing in computational geomechanics and machine learning applications for rockfall hazard prediction. His academic credentials include: B.Sc. in Civil Engineering from Fluminense Federal University (UFF) M.Sc. in Civil Engineering from Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Ph.D. in Civil Engineering from the University of Newcastle Barros' research centers on Modelling and simulation (30% focus), Geomechanics and resources geotechnical engineering (30%), and Deep learning (20%), with additional expertise in Granular mechanics and Solid mechanics. His work pioneers hybrid approaches combining physics-based numerical methods (BEM, DEM, FEM) with machine learning to address rockfall hazards in mining, seismic wave propagation in unbounded domains, and computational limit analysis. This interdisciplinary framework significantly enhances predictive accuracy for geotechnical risk assessment in complex terrain. His publication record reveals a clear trajectory toward advanced multi-scale numerical coupling, particularly BEM-DEM integration for dynamic geomechanical problems across 1D to 3D domains. These works address critical challenges in infinite domain modeling, wave propagation discontinuities, and rockfall fragmentation prediction, demonstrating strong applicability to mining safety and civil infrastructure resilience. His scientific recognition includes: AGS NSW Research Award (Australian Geomechanics Society, 2025) Barros has co-supervised two Master's students on rockfall analysis projects: one at the University of Parma investigating material layer impacts on hazard prediction, and another at Newcastle comparing machine learning techniques (Random Forest, KNN) for trajectory modeling. His international research network spans Brazil (6 publications), Australia (5), and Poland (5), supported by funding from the Australian Geomechanics Society. As an active contributor to the Centre for Geotechnical Science and Engineering, he develops computational frameworks for real-world mining safety challenges, with current projects focusing on machine learning-enhanced rockfall prediction systems for NSW and QLD open-pit mines.
Dr. Sergio Galindo Torres is an Adjunct Associate Professor at the School of Civil Engineering, University of Queensland (UQ). His research focuses on geotechnical engineering, fluid dynamics, and computational modeling of granular and porous media. He specializes in discrete element methods (DEM), lattice Boltzmann methods (LBM), and their coupling for simulating particle-fluid interactions. His work addresses transient two-phase flow, hydraulic fracturing, dispersion in porous media, and erosion mechanisms. His publications (45 journal articles, 31 conference papers, and technical reports) highlight his expertise in micromechanical analysis and numerical simulation of complex geological systems. Recent studies examine Péclet-number-dependent dispersion and airblast hazards in block caving. The 15 most recent articles reflect trends across computational geomechanics, with emphasis on: Fluid flow in static/dynamic porous media DEM-LBM coupling for granular-fluid systems Two-phase displacement under varying boundary conditions Airblast hazard simulation in mining Liquefaction micromechanics Capillary pressure-saturation dynamics Dr. Galindo Torres collaborates with researchers like Alexander Scheuermann and Ling Li, and his work appears in journals such as Water Resources Research , Physical Review , and Computers and Geotechnics . He does not list specific awards or advisees in this dataset.
Dr. Bo Zhang serves as a Postdoctoral Research Fellow at the School of Mechanical & Mining Engineering, The University of Queensland, within the Faculty of Engineering, Architecture and Information Technology. His research focuses on computational modeling of hydraulic fracturing processes and proppant transport mechanics in unconventional energy reservoirs. His educational background includes: Masters (Research) in Mining Engineering from Chongqing University Doctor of Philosophy in Civil Geotechnical Engineering from Monash University Dr. Zhang's research spans petroleum engineering, geomechanics, and computational fluid dynamics with emphasis on hydraulic fracturing optimization. His work investigates proppant transport dynamics in shale and coalbed methane reservoirs using hybrid CFD-DEM modeling, stress-permeability relationships in fractured media, and fracture propagation mechanics. Key methodologies include stochastic fracture network modeling and supercritical CO 2 applications for enhanced recovery. Analysis of his 2019-2025 publications reveals a consistent research trajectory focused on improving hydrocarbon extraction efficiency through advanced fracture characterization. His work demonstrates increasing sophistication in multi-scale modeling, with recent studies addressing cross-scale proppant transport and secondary fracture dynamics. The research shows strong alignment with energy transition themes through CO 2 -based recovery techniques. No scientific awards were documented in the source materials. Dr. Zhang is explicitly available for research supervision, indicating active mentorship responsibilities. While specific grant details aren't provided, his publications suggest affiliation with UQ's Multiscale Energy Systems research theme. The absence of grant documentation prevents comprehensive assessment of funding sources. His work is contextually associated with UQ's Multiscale Energy Systems research group through thematic alignment with fracture network modeling and reservoir simulation, though explicit laboratory affiliations aren't specified in the source materials.
Associate Professor Asadul Haque is a tenured full-time academic in the Department of Civil and Environmental Engineering at Monash University, Australia. He holds a Ph.D. from the University of Wollongong and has extensive expertise in geotechnical engineering, specializing in non-destructive material characterization using X-ray CT, microstructural behavior of soils, carbon sequestration, and railway geotechnics. He has secured over $5M in research grants, including ARC Discovery and Linkage projects, and leads world-class facilities like the X-Ray Microscopy Facility for Imaging Geo-materials (XMFIG). Education: Bachelor of Science in Civil Engineering, Bangladesh Institute of Technology (1987) Master of Engineering, Asian Institute of Technology (1992) Ph.D. in Civil Engineering, University of Wollongong (1999) Graduate Certificate in Higher Education, Monash University (2005) Research Interests: Dr. Haque’s work focuses on advancing sustainable geotechnical practices, including: Carbon sequestration in deep saline aquifers Microstructural evolution of soils under in-situ loading Rock-socketed pile design and bearing mechanisms Geothermal energy systems and reservoir performance Use of industrial by-products for soil improvement Grants & Contributions: He has secured major grants including $3.8M in ARC LIEF grants for laboratory infrastructure and $5M in competitive and industry-funded projects. His research has led to innovations in ground improvement using lime-slag and biochar sequestration, and he has published extensively in top journals like Geotechnique and Rock Mechanics and Rock Engineering . Professional Roles: Past Director of Teaching (Civil Engineering, 2014-2015) and Program Leader for the Master of Infrastructure Engineering & Management (2003-2017). Current Associate Editor of the Australian Journal of Civil Engineering and Fellow of the Institution of Engineers, Australia. Labs & Facilities: Leads the XMFIG facility and contributes to advanced testing chambers for deep geological applications, enabling high-resolution imaging and macro-scale geomechanical studies.
Bishnu Lamichhane is an Associate Professor at the University of Newcastle, Australia, within the School of Mathematics and the College of Engineering, Science and Environment. His research focuses on applied and computational mathematics, with interdisciplinary collaborations in engineering, statistics, physics, and environmental science. He holds a PhD in applied mathematics from the University of Stuttgart (Germany) and has a strong track record in cross-disciplinary projects, including coal blending models for BHP and neutron strain tomography for engineers. Education: M.Sc. (Industrial Mathematics) from University of Kaiserslautern (Germany), PhD from University of Stuttgart (Germany). He has taught at all levels, including AMSI Honours courses in 2011, 2014, and 2020. He has supervised 12 completed PhD students and currently supervises 8 more. Research Interests: Numerical methods for PDEs, finite element methods, data science, optimisation, and tomography. Collaborations span institutions in Australia, Germany, UK, USA, and India. He has held leadership roles in the Computational Mathematics Group (CMG), served on the AMSI Board, and organized major conferences like CTAC 2018. His work has been supported by grants from BHP, ACARP, and international bodies. Key Achievements: Gold Medal (Tribhuvan University), DAAD Scholarship, Honorary Professorship at IIT Bombay. His research has led to advancements in coke microstructure analysis, locust foraging models, and ice shelf dynamics under ocean waves.
Jai Tushar is a Research Fellow at the School of Mathematics, Monash University. His research focuses on numerical analysis, PDE-constrained optimization, and polytopal finite element methods. He holds a Ph.D. in Mathematics from Birla Institute of Technology and Science, where his thesis explored Virtual Element Methods for optimal control problems governed by diffusion equations. Before joining Monash, he served as a Research Associate at the Indian Institute of Technology Roorkee (Dec 2022 – Aug 2023). Research Interests: Tushar’s work emphasizes developing robust numerical methods for interface problems, optimal control systems, and fluid dynamics. His recent contributions include advancements in virtual element methods (VEM) for elliptic and diffusion interface problems, as well as BDDC preconditioners for polytopal discretizations. He also investigates doubly diffusive flows and Darcy flow control, blending theoretical analysis with computational implementations. Publications: His articles highlight trends in polytopal mesh adaptivity, convergence analysis of VEM, and stability studies in predator-prey models. Notable contributions include theoretical studies on Lipschitz domains and practical numerical simulations for ecological systems like Keoladeo National Park. Grants & Advising: No specific grants or student advisement roles are documented. However, his academic trajectory suggests active participation in collaborative research projects.
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).
Associate Professor Joung Oh is affiliated with the School of Minerals and Energy Resources Engineering at the University of New South Wales (UNSW), where he teaches and conducts research in mining geomechanics , tunnelling , and rock mechanics for caving mechanisms . His expertise spans rock joint behavior, ground-structure interaction, and numerical modelling, with prior industry experience at Parsons Brinckerhoff in New York. PhD in Civil Engineering (Geotechnical) from University of Illinois at Urbana-Champaign Research focuses on borehole breakout analysis , hydromechanical coupling , and machine learning applications in stress estimation . Recent work includes nonlinear flow in rock fractures , shotcrete bonding mechanisms , and ground support systems in burst-prone areas . Publications emphasize numerical methods , rock anisotropy , and seismic event cascades in mining contexts. Scientific contributions include 15+ recent articles on topics like granite microcrack characterization , seismicity during hydraulic fracturing , and multiscale stress estimation . These works integrate acoustic emission tomography , UDEC-GBM simulations , and artificial neural networks for geotechnical analysis. Professional service involves editorial roles at International Journal of Mining Science and Technology and memberships in societies like the Society of Mining Professors and Australasian Tunnelling Society . Grants from ACARP funded projects on shotcrete effectiveness and horizontal stress estimation in coal mines.
David Pfefferle is a **Senior Lecturer** at the **University of Western Australia (UWA)** in the **School of Physics, Maths and Computing**, Department of Mathematics and Statistics. He holds a PhD from the Swiss Federal Institute of Technology Lausanne (EPFL) and has held postdoctoral roles at EPFL and Princeton Plasma Physics Laboratory (2015–2017). His research focuses on **differential geometry applications in classical mechanics**, **structure-preserving numerical methods**, and **fusion plasma physics**, particularly magnetohydrodynamics (MHD) equilibria and computational plasma modeling. **Research Interests**: He explores geometric mechanics frameworks, including Lagrangian/Hamiltonian dynamics and symmetry principles, alongside advanced numerical techniques like symplectic integrators and high-performance computing. His work addresses challenges in plasma confinement, magnetic helicity, and field-line topology, with applications to fusion energy research. He also contributes to Monte Carlo simulations for radiation shielding in medical physics. **Awards & Activities**: Pfefferle has received the **Student Choice Award (2020)** and **Best Poster Prize (2013)**. He actively participates in conferences, workshops, and peer-review activities for journals such as *Physics of Plasmas* and *Nuclear Fusion*. His editorial contributions highlight his engagement with plasma physics and computational mathematics communities. **Collaborations & Expertise**: His interdisciplinary work spans plasma physics, applied mathematics, and computational science. He collaborates globally on projects involving plasma equilibrium modeling, numerical methods, and fusion energy research. His expertise aligns with UN Sustainable Development Goals related to **Clean Energy (SDG7)** and **Industry, Innovation & Infrastructure (SDG9)**.
