جست‌وجوی استاد و پژوهشگر

• Geomechanics
• Earthquake Modeling
• Fractured Rock Mechanics
• +۸ مورد دیگر

Dr. Huilin Xing is a Professor at the School of the Environment, University of Queensland, with extensive expertise in geomechanics, computational geoscience, and reservoir engineering. Their research spans multiple disciplines including earthquake modeling, fractured rock mechanics, geothermal systems, and coal seam gas extraction. With over 113 journal articles, 60 conference papers, 4 book chapters, and 1 book to their name, Dr. Xing has established themselves as a leading researcher in computational geoscience. Dr. Xing's research interests focus on the application of advanced computational methods to solve complex geomechanical problems. Their work encompasses numerical modeling of fault systems, earthquake dynamics, fluid flow in fractured porous media, geothermal reservoir simulation, and unconventional reservoir characterization. Recent publications demonstrate a strong emphasis on integrating machine learning techniques with traditional geomechanical modeling approaches, particularly for permeability estimation and digital rock analysis. The publication record shows a consistent research trajectory with significant contributions across multiple domains. Recent work (2021-2024) reveals increasing interdisciplinary collaboration, extending into medical applications (nephrology) and psychological studies, while maintaining core expertise in geomechanics and computational geoscience. The research demonstrates strong connections between fundamental geomechanical principles and practical applications in energy resource extraction and seismic hazard assessment. Dr. Xing has received research funding for projects related to CO 2 sequestration and geothermal energy, as evidenced by the ANLEC project reports. Their work on fault systems, earthquake modeling, and reservoir engineering has significant implications for both academic research and industry applications in the energy sector.

Zhidong Zhangمشاهده پروفایل

مدرس

• Concrete durability
• Mass transport in porous materials
• Cement hydration
• +۱ مورد دیگر

Dr. Zhidong Zhang is a Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, specializing in concrete durability and mass transport phenomena. His research focuses on corrosion mechanisms, moisture retention in porous media, and sustainable low-carbon binders. Research Interests: Zhang's work bridges experimental materials science and practical civil engineering applications. Key areas include: Corrosion-induced cracking and diffusion potentials Advanced characterization of steel-concrete interfaces CO 2 curing techniques for sustainable construction Multiscale modeling of transport phenomena Recent publications demonstrate a strong focus on nano/micro-scale material characterization (2024-2025), with neutron imaging, FIB-SEM nanotomography, and lattice modeling being prominent methodologies. Works consistently address durability enhancement strategies for cementitious systems under varying environmental conditions. Awards: No scientific awards reported. Advising & Grants: Current projects include RILEM TC 309-MCP on recycled aggregates and several ETH-based initiatives on moisture transport. No specific advisees mentioned. Laboratories: Conducts research through ETH's Institute for Baustoffe (IfB) infrastructure, including specialized facilities for pore-scale analysis and accelerated durability testing.

Kaushik Bhattacharyaمشاهده پروفایل

استاد

• Mechanics of Materials
• Continuum Mechanics
• Active Materials
• +۳ مورد دیگر

Kaushik Bhattacharya is the Howell N. Tyson, Sr. Professor of Mechanics and Materials Science and Vice Provost at the California Institute of Technology (Caltech). He holds a B.Tech from the Indian Institute of Technology Madras (1986) and a Ph.D. from the University of Minnesota (1991). His research focuses on mechanics of materials, continuum mechanics, and active materials such as shape-memory alloys and liquid crystal elastomers. He has pioneered computational methods for material design and analysis, including coarse-grained density functional theory and machine learning-based multiscale modeling. Roles: Professor (since 2000), Vice Provost (2016–present), Former Executive Officer (2007–2016). Educations: Post-doctoral training at the Courant Institute (1991–1993). Research interests span three core areas: (1) Active materials like ferroelectrics and shape-memory alloys, (2) Heterogeneous materials and their property design, and (3) Density functional theory for defects in solids. His work bridges theory and experiment, emphasizing material innovation for engineering applications. Recent studies include photomechanical coupling, fracture mechanics, and neural operator models for PDEs. His awards include the Theodore von Kármán Medal (2020), Warner T. Koiter Medal (2015), and Distinguished Alumni Award from IIT Madras (2019). He served as editor of the Journal of Mechanics and Physics of Solids (2004–2015) and is recognized for teaching excellence. Advising and grants: As a senior faculty member, he mentors graduate students in materials science and mechanics. His research has been funded by the Department of Defense and other agencies, reflected in collaborative projects on metamaterials and computational micromechanics. His lab focuses on interdisciplinary challenges, such as designing materials with tunable acoustic properties and energy conversion systems. Labs/Teams: Leads the Mechanics and Materials Group at Caltech, collaborating with engineers, physicists, and data scientists to advance computational materials design and experimental validation.

Levi Beechingمشاهده پروفایل

پژوهشگر

• X-ray Tomography
• Materials Physics
• Environmental Science
• +۳ مورد دیگر

Dr. Levi Beeching is a Researcher in the Department of Materials Physics at The Australian National University. He specializes in advanced imaging techniques, particularly X-ray microtomography and micro-CT, applied to materials science, environmental studies, and archaeology. His work bridges disciplines including geophysics, marine ecology, and cultural heritage analysis. Education: Ph.D. in Chemistry (Photoelectron Spectroscopy) from the University of Southampton (2002). Research focuses on material characterization, fracture mechanics, climate impacts on marine ecosystems, and archaeological artifact analysis. He leads or contributes to projects such as the ARC Training Centre for Multiscale 3D Imaging and collaborations with institutions like the Australian Nuclear Science and Technology Organisation (ANSTO). Key research themes include: (1) X-ray imaging optimization for complex materials, (2) climate-driven coral decay mechanisms, (3) mineral liberation in mining processes, and (4) archaeological applications of micro-CT. Recent studies address marine heatwave impacts on calcifiers, pore space topology in porous media, and artifact preservation in ancient pottery. His projects span $1.5M funding including the ARC Training Centre (2019–2025). Collaborations involve multidisciplinary teams in materials science, environmental science, and archaeology. Active in synchrotron-based research and advanced imaging technology development.

Senyou Anمشاهده پروفایل

پژوهشگر

• Carbon Sequestration
• Fluid Dynamics
• Porous Media
• +۴ مورد دیگر

Senyou An is an Honorary Reader at CE - Academic & Research, specializing in multi-scale technologies for predicting CO₂ plume migration during carbon sequestration. His expertise spans computational and experimental fluid dynamics, including multiscale multiphase flow, reactive transport, and heat/mass transfer through porous materials. He actively contributes to UN Sustainable Development Goals addressing climate action and environmental protection. Education: PhD in 2021 from CE - Academic & Research, focusing on GPU-based pore-scale modeling of two-phase flow and transport in porous media, supervised by Prof. Theodoropoulos and Prof. Joekar-Niasar. Research interests emphasize carbon neutrality strategies, pore-scale analysis, and the integration of deep learning with physics-based models. His work frequently explores porous media heterogeneity, carbonate rock dynamics, and computational methods like the boundary integral approach. Recent publications highlight advancements in three-dimensional foam modeling and upscaling reaction rates in subsurface environments. He collaborates internationally to investigate multiphase flow and wettability effects in porous systems. Advising & Grants: While no current advisees are listed, he is accepting PhD students. His research has been disseminated through datasets such as Mendeley Data (DOI: 10.17632/k9s7ht88mp.1) , which examines pore geometry and wettability interactions in immiscible displacement dynamics. Labs/Teams: Engaged in interdisciplinary teams combining computational physics with environmental engineering, particularly in digital porous media analysis and subsurface flow modeling.

• Kinetic Theory
• Boltzmann Equation
• Direct Simulation
• +۳ مورد دیگر

Dr. Livio Gibelli is Senior Lecturer in Mechanical Engineering at the University of Edinburgh's School of Engineering, specializing in kinetic theory and multiscale thermofluids. He holds a PhD in Chemical Engineering from Nanjing University of Technology and conducts research through the Multiscale Thermofluids Research Institute. His primary research explores: Kinetic theory applications to rarefied gas dynamics and nanoscale flows Boltzmann equation solutions for nonequilibrium systems Multiscale modeling approaches coupling molecular and continuum methods Behavioral crowd dynamics and evacuation modeling Publications demonstrate strong focus on gas-surface interactions, nanoscale transport phenomena, and social crowd modeling, with recent work advancing simulation techniques for industrial applications. Research projects include EPSRC-funded Multiscale Simulation of Rarefied Gas Flow for Engineering Design (2021-2024). Supervises PhD candidates in fluid dynamics and coordinates collaborations through the James Clerk Maxwell Building laboratory facilities.

Andrew Whittleمشاهده پروفایل

استاد

• Geotechnical Engineering
• Constitutive Models for Geomaterials
• Ground Improvement Techniques
• +۵ مورد دیگر

Andrew Whittle is the Edmund K. Turner Professor at MIT's Department of Civil and Environmental Engineering (CEE), part of the School of Engineering. His research focuses on geotechnical engineering, constitutive modeling of geomaterials, ground improvement techniques, and environmental sensing in water distribution systems. He has pioneered advancements in clay mechanics, bridge abutment analysis, and infrastructure resilience against climate change. Whittle teaches courses such as 1.031 Introduction to Geotechnical Engineering and 1.364 Advanced Geotechnical Engineering, emphasizing theoretical soil mechanics and practical applications. His awards include National Academy of Engineering membership (2010), multiple ASCE accolades (e.g., Middlebrooks Award), and early-career distinctions like the Skempton Prize. His research group (AJW-Group) develops innovative models for soil behavior, borehole heat exchangers, and biofilm dynamics in water networks. Recent work addresses climate adaptation for transit infrastructure, shale softening mechanisms, and computational frameworks linking nano- to macro-scale geomechanics. Education : B.Sc., Imperial College of Science and Technology (1981) Sc.D., MIT (1987) Labs/Teams : Whittle Group (AJW-Group) focusing on geotechnical and environmental systems Grants : J-WAFS Solutions Grants (2023) for water treatment innovations Publications span 40 years, with recent emphases on clay nano-aggregate mechanics, bridge seismic resilience, and microbial biofilms in water infrastructure. His work bridges fundamental geomechanics with real-world applications like tunneling-induced ground movements and climate-resilient urban systems.

• Granular Materials Mechanics
• Porous Media Transport
• Energy Systems
• +۵ مورد دیگر

Associate Professor Yixiang Gan is an academic at The University of Sydney, holding positions as Associate Head of the School of Civil Engineering and Deputy Director of The University of Sydney Nano Institute. He holds a Dr.-Ing degree from Karlsruhe Institute of Technology (Germany) and BE/BBA/ME degrees from Xi'an Jiaotong University (China). His research focuses on granular and porous media mechanics, energy systems, and multiphase flow, with applications in carbon geo-sequestration and thermal energy storage. Education: Dr.-Ing (summa cum laude), Karlsruhe Institute of Technology, Germany BE/BBA and ME, Xi'an Jiaotong University, China Research interests emphasize the mechanics of heterogeneous materials and their role in energy systems, including lithium-ion batteries, fuel cells, and thermal storage. Collaborations span institutions globally, such as Tsinghua University (China), Ecole des Ponts ParisTech (France), and UCLA (USA). Awards include the Endeavour Executive Leadership Award (2019), Sydney Accelerator Fellowship (2017), and DECRA (2013). He supervises PhD students in topics like granular transport and phase change materials. Teaching includes courses on Energy Geotechnics, Statics, and Capstone Projects. His lab explores multiscale mechanics and interfaces, with projects on unsaturated soils and contact mechanics.

• Fluid Flow in Porous Media
• Subsurface Carbon Storage
• Contaminant Transport
• +۷ مورد دیگر

Dr. Branko Bijeljic is a Principal Research Fellow in the Department of Earth Science & Engineering at Imperial College London's Faculty of Engineering. He holds a PhD in Chemical Engineering from Imperial College (2000). His research focuses on fluid flow in porous media, addressing global challenges in energy and water sustainability. Key areas include subsurface carbon storage, contaminant transport, and enhanced oil recovery, supported by advanced imaging and modeling techniques. Research Themes: Developing carbon storage and hydrocarbon recovery technologies using pore-scale imaging and modeling. Contaminant transport studies employing novel methodologies like probability density functions and CTRW theory. Multi-scale imaging and modeling to quantify flow and reaction rates in heterogeneous media. He has served as an Associate Editor of Water Resources Research since 2019 and organized major conferences such as the 2016 Reactive Transport in Porous Media event. His work is funded by Total, Shell, and NERC, among others. Collaborations include the UK Carbon Capture and Storage Consortium and the Energy Futures Lab at Imperial College. Key Contributions: Pioneered pore-scale direct simulation models, unified network modeling with CTRW theory, and advanced NMR-based techniques for subsurface characterization.

• Reduced-Order Modelling
• Machine Learning for Scientific Applications
• Urban and Environmental Flows
• +۶ مورد دیگر

Claire Heaney is an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow affiliated with both Imperial-X and the Department of Earth Science & Engineering within the Faculty of Engineering at Imperial College London . Her research focuses on applying advanced machine learning techniques to complex scientific problems in environmental and computational physics. Research Interests: Reduced-Order Modelling Machine Learning for Scientific Applications Urban and Environmental Flows Scientific Contributions: Claire's work demonstrates expertise in: Neural network-based solutions for partial differential equations Hybrid physics-ML models for environmental systems Uncertainty quantification frameworks Mesh adaptation techniques for improved computational efficiency Her research spans multiple disciplines including applied mathematics, computational fluid dynamics, and nuclear engineering. Scientific Awards: Co-author of one of Wiley's top cited articles (Jan 2021 - Dec 2022) Recipient of the prestigious Schmidt AI in Science Postdoctoral Fellowship Collaborative Research: Claire works at the intersection of earth science and engineering, collaborating across disciplines to develop AI solutions for environmental challenges. Her current research investigates the use of green infrastructure to mitigate air pollution in urban environments.

• Computational Materials Science
• Digital Rock Physics
• Volume Rendering
• +۲ مورد دیگر

Lachlan Deakin serves as a Research Fellow in the Department of Materials Physics at the Australian National University's College of Science and Medicine. His research integrates computational techniques with materials science to address challenges in mineral characterization and environmental monitoring. His expertise spans Computational Materials Science , Digital Rock Physics , and Volume Rendering , with specialized focus on nanoscale imaging and computer graphics algorithms. Deakin develops innovative methods for 3D image analysis, including distance-map optimizations for ray casting and multiscale bridging techniques applicable to ore processing and coral reef studies. Analysis of his 2019-2025 publications reveals a trajectory from foundational work in volume rendering (Chebyshev distance maps, empty space skipping) toward applied geoscience solutions. Current research emphasizes micro-to-nano scale integration for metal ore characterization and particle separation using 3D X-ray tomography, demonstrating cross-disciplinary impact across materials engineering, computer science, and environmental science. No scientific awards were documented in the source material. While advising relationships and grant funding remain unspecified, Deakin maintains active collaboration with ANU researchers including Professor Mark Knackstedt, contributing to laboratories focused on digital rock analysis and advanced visualization techniques.

Masoud Babaeiمشاهده پروفایل

مدرس ارشد

• Subsurface Engineering
• Computer Simulation
• Carbon Capture and Storage
• +۳ مورد دیگر

Masoud Babaei is a Senior Lecturer in Subsurface Energy Engineering at the School of Chemical Engineering, University of Manchester, specializing in computational modeling of porous media for carbon capture/storage, geothermal systems, and hydrogen storage. He teaches MSc Subsurface Energy Engineering courses and previously instructed undergraduate Petroleum Engineering until 2020. His academic credentials include: Doctor of Engineering in Petroleum Engineering from Imperial College London (awarded 2013) Master of Science in Reservoir Simulation/Petroleum Engineering from Sharif University of Technology (awarded 2007) Fellow of The Higher Education Academy (awarded 2018) Research focuses on pore-to-Darcy scale modeling of subsurface processes, with key contributions to CO2 storage, hydrogen geo-storage, and geothermal energy systems. His work integrates computational fluid dynamics, molecular simulations, and machine learning to address challenges in sustainable energy transition and carbon neutrality, directly supporting UN Sustainable Development Goals 7 (Affordable Clean Energy) and 13 (Climate Action). Recent publications demonstrate a clear trajectory toward integrated energy systems, particularly coupling geothermal resources with hydrogen production and carbon retention technologies. His research increasingly emphasizes multiscale modeling approaches—from molecular dynamics to field-scale simulations—to optimize subsurface energy storage and conversion processes while addressing environmental sustainability. His scientific recognition includes: Fellow of The Higher Education Academy Dr. Babaei has secured five major research grants totaling over £1.2M, including projects on boron management in Turkish geothermal systems and soil salinity control in Konya Plain. He has supervised six postgraduate researchers and contributed to academic service through NERC grant panels, ACS committee membership, and organizing international conferences like the Newton Fund Turkey-UK collaboration. His work extends to press engagement including the Arsenic Network blog on environmental contaminants. His research operates within Manchester's Energy Beacon and Dalton Nuclear Institute frameworks, fostering cross-disciplinary collaboration on sustainable subsurface energy solutions through partnerships with institutions in Turkey, China, and across Europe.

Leitao Chenمشاهده پروفایل

استادیار

• Heat Transfer
• Thermal Systems
• Multiscale Modeling
• +۵ مورد دیگر

Leitao Chen is an Assistant Professor of Mechanical Engineering at the College of Engineering, Embry-Riddle Aeronautical University. His research focuses on multiscale modeling using the Boltzmann equation, thermal management systems for high-power CPUs and electric vehicle batteries, and low-temperature plasma dynamics. He holds a Ph.D. in Mechanical Engineering and has contributed to over 15 peer-reviewed publications since 2016. Dr. Chen is actively involved in professional organizations such as the American Society of Mechanical Engineers (ASME) and chairs the Heat Transfer in Energy Systems Technical Committee under ASME. Education: B.S., Mechanical Engineering M.S., Power Machinery & Engineering Ph.D., Mechanical Engineering Research Interests: Computational modeling of thermal systems Plasma dynamics and fluid simulations Thermal management for electric vehicles Advanced materials for heat transfer enhancement Multiscale modeling using Boltzmann equations Awards: 2023 Tennessee State University Faculty Excellence Award in Research 2017 Outstanding Reviewer Awards from Computers and Fluids, Physica D, and Renewable Energy Courses Taught: ME 409: Vehicle Aerodynamics ME 413: Preliminary Design for High Performance Vehicles with Laboratory ME 433: Senior Design for High Performance Vehicles with Laboratory

• Homogenization Theory
• Calculus of Variations
• Nonlinear Analysis
• +۳ مورد دیگر

Valeria Chiadò Piat is an Associate Professor at Politecnico di Torino, specializing in homogenization theory, calculus of variations, and nonlinear analysis. Her research focuses on multiscale problems, including the analysis of degenerate functionals, oscillating manifolds, and composite materials. She has organized significant events such as the 2025 'Perspectives in the Calculus of Variations' conference and the 2020 'Calculus of Variations and Applications' workshop. Her work bridges theoretical analysis and applied material science, with key contributions to homogenization of high-contrast materials, discrete double-porosity models, and anisotropy properties in polycrystalline magnetic systems. Notable collaborations include projects with A. Braides on extension theorems and non-local functionals, and with O. Bottauscio on magnetic materials' effective properties. Recent publications (2021–2025) emphasize relaxation of degenerate functionals and homogenization in oscillating domains. Her research also explores phase transitions in composite media and variational inequalities for elasto-plastic systems. She has contributed to both foundational theory and numerical methods in material science.

Roderick Melnikمشاهده پروفایل

استاد

• Mathematical Modelling
• Coupled Systems
• Multiscale Phenomena
• +۴ مورد دیگر

Dr. Roderick Melnik is a Professor and Tier 1 Canada Research Chair in Mathematical Modelling at Wilfrid Laurier University, Canada. He previously held positions at the University of Southern Denmark. His research focuses on coupled systems, multiscale phenomena, and their applications in biomedicine, nanotechnology, and environmental sustainability. He develops advanced mathematical models and computational tools to address interdisciplinary challenges, particularly in neurodegenerative diseases, nonlocal dynamics, and stochastic processes. Melnik leads the M3AI® Lab, collaborating globally on projects ranging from brain network models to energy-saving technologies. His work emphasizes the development of constructive mathematical procedures for solving complex coupled processes, including partial differential equations and stochastic systems. Research Interests : His expertise spans coupled multiscale phenomena, nonlocal and far-from-equilibrium dynamics, stochastic networks, and environmentally friendly technologies. He applies these methods to neurodegenerative diseases (e.g., Alzheimer’s and Parkinson’s), nanoscale systems, and sustainable energy solutions. Recent trends in his articles highlight advancements in Bayesian physics-informed neural networks, astrocyte roles in disease progression, and data-driven brain network analysis. Awards : Tier 1 Canada Research Chair (2011–present) Advising & Grants : He advises students like PhD candidate Hina Shaheen and collaborates with researchers globally. His grants support projects such as predictive multiscale materials design and interdisciplinary bioscience alliances. Labs/Teams : Head of the M3AI® Lab, focusing on coupled systems and complex networks. The lab hosts events like the XI International Conference on Coupled Problems in Science and Engineering.