Characterization and Modelling of Porous Microstructure Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۴۶-۶۰ از ۴۸۳ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Nick Virgilioمشاهده پروفایل

استاد

Polytechnic School of MontrealCanada

Nick Virgilio is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal . His research focuses on soft matter interfaces, polymer blends, and advanced hydrogel systems for biomedical and catalytic applications. Director, Research Laboratory on Surfaces, Interfaces and Soft Matter Member, Research Center for High-Performance Polymer and Composite Systems (CREPEC) Research interests include interfacial phenomena in multiphase systems, self-assembly of soft materials, nanoparticle-hydrogel composites, Pickering emulsions, and polymer microstructure engineering. Scientific awards include the 2010 Canadian Macromolecular Science Thesis Prize and the 2004 Polytechnique Montréal Master's Thesis Award. Recent publications highlight his work in macroporous hydrogels for cancer cell capture, nanoparticle synthesis in soft matrices, and interfacial control of polymer blends. His studies frequently appear in high-impact journals like ACS Applied Materials & Interfaces , Green Chemistry , and Macromolecules . Students under his supervision have explored topics from biofilm mechanics to lunar environment polymer systems across 4 PhD and 6 Master’s theses completed or ongoing.

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Laura Daltonمشاهده پروفایل

استادیار

Duke UniversityUnited States

Laura Dalton is an Assistant Professor in the Department of Civil and Environmental Engineering at Duke University. She joined the faculty in August 2022 after completing her Ph.D. at North Carolina State University. Her research focuses on reactive transport in porous media, CO2 sequestration, and advanced imaging techniques like X-ray CT and electrical capacitance tomography. Education: B.A., West Virginia Wesleyan College (2012) B.S. and M.Sc.Eng., West Virginia University (2015, 2016) Ph.D., North Carolina State University (2022) Dalton's work bridges experimental and computational methods, including: 4D imaging of geomaterials Machine learning for material inverse problems Thermal cycling in porous media CO2 mineralization strategies Her recent publications emphasize hybrid imaging modalities, deep learning applications, and reactive transport dynamics. While no specific awards are mentioned, her research aligns with Duke's climate solutions initiatives, including CO2 storage efficiency and sustainable material development.

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Adrian Sheppardمشاهده پروفایل

استاد

Australian National University (ANU)Australia

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.

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Yunhua Luoمشاهده پروفایل

استاد

University of ManitobaCanada

Dr. Yunhua Luo is a Professor & Associate Head (Graduate Program) in the Department of Mechanical Engineering at the University of Manitoba (Price Faculty of Engineering). His expertise lies in computational mechanics, finite element methods, and biomechanical modeling. He holds a PhD from Stockholm, Sweden (1999), a Licentiate (MSc) from Stockholm (1997), and a B.Eng. from Beijing, China (1985). His research focuses on three core areas: Development of advanced finite element methods for composite materials Multilevel biomechanical modeling of bone strength and hip fracture mechanisms Mechanistic analysis of brain injury and helmet design optimization Over 30 years of academic progression includes roles from Research Associate (2000–2006) to full Professor (2019–present). His recent publications (2022–2025) emphasize voxel-based modeling, osteoporotic fracture risk prediction, and helmet performance evaluation. Current research seeks MSc/PhD students in computational micromechanics.

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Thomas Brunetمشاهده پروفایل

پژوهشگر

University of BordeauxFrance

Thomas Brunet is a researcher at the University of Bordeaux, specializing in physical acoustics and functional materials for acoustics. His work spans ultrasound physics, material characterization, and advanced modeling/simulation techniques. Key collaborations with research groups: APY (Physical Acoustics) , Functional Materials for Acoustics , and GCE (Civil and Environmental Engineering) . Focus areas: acoustic metamaterials , Anderson localization , contactless micromanipulation , and viscoelastic wave propagation . His publications (over 30 in the last decade) demonstrate expertise in ultrasonic imaging, nanophononics, and multiphysics problems involving mechanical, thermal, and fluid interactions. Collaborative projects include DuMAS (Sustainability of Materials) , IMC (Mechanical Engineering) , and MPI (Materials-Procedes-Interactions) initiatives. No formal awards or student advising details are publicly available in the provided data.

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John Mooreمشاهده پروفایل

استادیار

Marquette UniversityUnited States

Dr. John Moore is an Assistant Professor in the Department of Mechanical Engineering at Marquette University . He leads the Computational Mechanics of Materials Laboratory, focusing on computational mechanics, materials science, and high-performance computing. His research spans alloys, polymers, and biomedical devices. Education Ph.D., Mechanical Engineering, Northwestern University (2015) M.S.E., Civil Engineering, University of Washington (2007) B.S., Aeronautical and Astronautical Engineering, University of Washington (2005) Research Focus Dr. Moore's work combines computational modeling with experimental validation to understand material behavior under extreme conditions. Key areas include: Crystal plasticity modeling of metallic alloys Nonlocal damage mechanics for fatigue prediction Dynamic spallation and porosity evolution High-throughput X-ray imaging of additively manufactured materials UV-sensitive resin material modeling Recent Publications His recent work focuses on advanced computational techniques for material failure analysis, including: Nonlocal approaches for statistical fatigue prediction Microinertia effects in spall modeling Betatron X-ray tomography applications UV resin optimization studies Phase transformation fatigue mechanisms Contact Email: john.a.moore@marquette.edu | Phone: (414) 288-6641 Location: Haggerty Hall, 225, Marquette University, Milwaukee, WI 53201

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Jan Torgersenمشاهده پروفایل

استاد

Technical University of MunichGermany

Prof. Jan Torgersen is a Professor of Materials Science at the TUM School of Engineering and Design , Technical University of Munich. His research focuses on advanced materials, additive manufacturing, electrochemical systems, and biomedical applications. He leads projects exploring novel material synthesis techniques, corrosion-resistant coatings, and energy storage solutions. Key research areas include: - Design of architected carbon materials for fuel cells and energy storage - Development of bio-inspired materials for biomedical devices - Computational modeling of material failure and microstructural behavior - Solar energy systems and high-concentration photovoltaics - Atomic layer deposition (ALD) for thin film applications Recent work highlights: - Innovations in gas diffusion layer optimization for PEM fuel cells - Biomimetic designs enhancing mass transport in electrochemical systems - Corrosion mitigation strategies for biomedical implants - Breakthroughs in ultra-thin ALD membrane fabrication His interdisciplinary research bridges materials science with engineering applications, addressing challenges in sustainability, energy efficiency, and healthcare technologies.

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Sirivatch Shimpaleeمشاهده پروفایل

استاد پژوهشی

University of South CarolinaUnited States

Sirivatch Shimpalee is a Research Professor in the Department of Chemical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. He serves as Director of the Hydrogen and Fuel Cell Center. His research focuses on renewable energy systems, including fuel cells, energy storage technologies, and bioenergy. Shimpalee holds a Ph.D. in Mechanical Engineering from the University of South Carolina (2001), an M.S. from Bradley University (1998), and a B.S. from Chiang Mai University (1992). His work emphasizes multi-scale modeling of electrochemical systems, particularly in transport phenomena and electrochemical kinetics. Recent studies include lithium-ion battery microstructure analysis, PEM electrolyzers, and hydrogen production via anhydrous HCl electrolysis. Shimpalee has over 100 peer-reviewed publications and has been recognized with awards such as the 2017 Outstanding Alumni Award and the 2004 Crystal Flame Innovation Award. Shimpalee collaborates extensively with industry (e.g., Palmetto Fuel Cell Analysis & Design, LLC) and oversees a research team addressing challenges in energy conversion and storage. His lab's innovations contribute to automotive battery systems, fuel cell durability, and sustainable bioenergy processes.

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Felix Fritzenمشاهده پروفایل

استاد

University of StuttgartGermany

Prof. Felix Fritzen is a Heisenberg Professor (W3) for Data Analytics in Engineering at the University of Stuttgart's Institute of Applied Mechanics (MIB). His work is embedded in the Cluster of Excellence Data-Integrated Simulation Science (SimTech). He leads the EMMA Emmy Noether group (2015–2020) and previously headed the KIT Young Investigator Group CAMM. His research focuses on data-driven surrogate models, uncertainty quantification, and computational mechanics of materials, with emphasis on nonlinear model reduction and multiscale simulations. Education: Ph.D. (Dr.-Ing., summa cum laude) from KIT (2011), Dipl.-Math. techn. (2007), Dipl.-Ing. (2006). Research interests include machine learning integration with mechanics, microstructure-property relations, and high-performance simulation techniques. Notable contributions involve FFT-based homogenization, reduced order modeling, and GPU-accelerated methods. He has authored over 60 peer-reviewed papers, including works on surrogate models for microstructure forecasting and thermoelastic material analysis. Awards include the KIT PhD Award (2012) and recognition as a GAMM Junior (2012–2014). His teaching includes courses on data processing for engineers and model order reduction. Funded projects include DFG grants (EXC-2075, HE 7919/1) and the Heisenberg Professorship (FR2702/8).

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Tony Robertsمشاهده پروفایل

استاد

Queensland University of TechnologyAustralia

Professor Tony Roberts is the Head of School in the School of Mathematical Sciences at Queensland University of Technology (QUT). He holds a PhD from the Australian National University and is a Fellow of the Australian Mathematics Society. His research focuses on the interplay between material microstructure and macroscopic properties, with emphasis on topology optimization, random structure modeling (e.g., Gaussian fields, percolation models), and material property analysis such as conductivity, diffusion, and fluid flow. He develops computational methods for analyzing experimental techniques like 3D statistical reconstruction and small-angle scattering. His recent work includes optimizing piezoelectric materials for robotics, studying diffusion dynamics in fractal networks, and modeling material failure mechanisms. Key contributions span multi-functional piezoelectric components, anisotropic elastic properties of additively manufactured alloys, and fracture mechanics in perforated materials. Awards include his fellowship in the Australian Mathematics Society. Supervision interests include structural optimization, diffusion in random media, and porous material failure modeling. Education: PhD (Australian National University) Affiliations: Faculty of Science, School of Mathematical Sciences Research Themes: Material science, computational modeling, fracture mechanics, stochastic systems

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Jennifer Sinclair Curtisمشاهده پروفایل

استاد

University of California, DavisUnited States

Jennifer Sinclair Curtis is the Dean of the UC Davis College of Engineering since 2015. Previously, she served as the Associate Dean for Research and Facilities at the University of Florida’s College of Engineering, Chair of Chemical Engineering, and Head of Freshman Engineering at Purdue University. She holds a B.S. in Chemical Engineering from Purdue University and M.S./Ph.D. from Princeton University. Her research focuses on particle flow behavior, with applications in food processing, pharmaceuticals, aerospace, energy, mining, and natural processes like debris flows. She employs computational methods (DEM, CFD) to study granular flows, fluid-particle interactions, and material dynamics. Her work bridges engineering education and industry, emphasizing diversity and inclusion initiatives. Key awards include Fellowships from AAAS, AIChE, and ASEE. Her articles span particle dynamics, fluidization, and educational strategies, reflecting her dual expertise in technical and pedagogical innovation. She has advised numerous students and contributed to national advisory boards, including co-chairing the National Academies Chemical Science Roundtable.

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S. Jon Chapmanمشاهده پروفایل

استاد

University of OxfordUnited Kingdom

Professor S. Jon Chapman is a faculty member at the Mathematical Institute, University of Oxford, holding the position of Professor of Mathematics and its Applications. He is affiliated with the Oxford Centre for Industrial and Applied Mathematics research group. His educational background includes a DPhil, MA, and BA. Research interests span diverse areas of applied mathematics and scientific modeling: Industrial mathematics and mathematical modeling Partial differential equations and asymptotic methods Fluid dynamics and turbulence theory Biophysical applications including tumor growth and tissue modeling Electromagnetic scattering and superconductivity Materials science and energy systems Publication analysis reveals two primary trends: Recent work (2025) focuses on electrochemical systems (battery modeling, gas-induced bulging) and biological applications (organoid models). Earlier influential publications established expertise in pattern formation, fluid dynamics (ship waves, spiral waves), and transport phenomena in biological systems. Mathematical techniques consistently feature multiscale analysis, asymptotic methods, and nonlinear modeling. Awards and honors recognizing scholarly contributions: Naylor Prize (2015) Julian Cole Prize (2002) Whitehead Prize (1998) Richard C. DiPrima Prize (1994) Johnson Mathematical Prize (1992) No information is available regarding student advising, grants, or laboratory affiliations.

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Patrycja Wagnerمشاهده پروفایل

پژوهشگر

Poznan University of TechnologyPoland

Dr. Eng. Patrycja Wagner is a researcher at the Poznań University of Technology, Faculty of Chemical Technology, Department of Chemical Engineering and Equipment. Her scientific work focuses on technical rheology, multiphase flows, and the physicochemistry of polymers. She obtained her PhD in chemical sciences in 2021 after completing full-time doctoral studies from 2015-2021 and holds an MSc in Chemical and Process Engineering (2015). Position: Researcher Institution: Poznań University of Technology Department: Chemical Engineering and Equipment Her research spans technical rheology (extensional flow analysis, micellar networks), multiphase systems (surfactant mixtures, emulsions), and polymer physicochemistry (cellulose derivatives, alcohol-water mixtures). She collaborates with KU Leuven's Soft Matter Rheology and Technology Division. Key publications include studies on: Rheological behavior of ionic surfactant mixtures under salt/chelate influence Viscoelastic properties of cellulose derivative emulsions with ethyl alcohol Extensional viscosity characterization using capillary breakup methods Micellar network analysis via Cryo-TEM and SANS techniques She contributes to technical education through laboratory classes in Chemical Engineering, Technical Rheology, and Process Kinetics, while also participating in industry-university collaborations. Wagner is a member of the Polish Society of Technical Rheology and has organized seminars on practical chemical engineering since 2017.

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Jimmy Liمشاهده پروفایل

پژوهشگر ارشد

University of QueenslandAustralia

Applied Geophysics
Geomechanics and Resources Geotechnical Engineering
Petroleum and Reservoir Engineering
+۵ مورد دیگر

Dr. Jimmy Li is a Postdoctoral Research Fellow at the School of Mechanical and Mining Engineering, The University of Queensland, with expertise in geophysics and geomechanics for resource and geoenergy exploration. His career spans over a decade in industry roles at Halliburton Energy Services and academic research since completing his PhD in 2021. Bachelor of Petroleum Engineering (2007) from China University of Petroleum Doctor of Philosophy in Petroleum Engineering (2021) from Curtin University Dr. Li's research focuses on theoretical and experimental studies in rock mechanics and geotechnical engineering for underground mining and drilling applications. Key areas include: Machine Learning in Geoscience for tasks like CMRR and UCS prediction Rock Physics involving seismic, microseismic, and ultrasonic wave propagation Weathering in Sedimentary Rock through experiments on fluid-rock interactions Petrophysics and Formation Evaluation using core analysis and laboratory measurements Drilling Engineering in hostile environments (HPHT), geosteering, and borehole stability His recent publications highlight trends in coal geomechanics, shale permeability, CO2 sequestration modeling, and AI applications in upstream geoenergy. He has collaborated on multi-frequency sonic logging tools and established the NATA-accredited Quality Management System for rock mechanics at UQ. Dr. Li is available for supervision and has secured funding from industry partners like Origin Energy, Normet Asia Pacific, and Lihir Gold Limited for projects on coal strength, grout durability, and roadway stability. He contributes to developing machine learning methods for reducing subjectivity in mining safety assessments and optimizing drilling technologies.

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Reika Katsumataمشاهده پروفایل

استادیار

University of Massachusetts AmherstUnited States

Reika Katsumata is an Assistant Professor in the Department of Polymer Science and Engineering at the University of Massachusetts Amherst. Her research focuses on establishing design rules for extremely confined soft/hard interfaces, bridging precise polymer synthesis with nanoscale material miniaturization. She investigates how extreme confinement ( B.Eng. & M.Eng., Tokyo Institute of Technology (2009, 2011) Ph.D., Chemical Engineering, University of Texas at Austin (2016) Her work employs fluorescence spectroscopy, rapid thermal annealing, and film-stress measurements to address challenges in nanocomposites, ultra-thin coatings, and 2D materials. Recent studies explore defect healing in graphene, polymer-assisted porous carbon synthesis, and interfacial control of ferroelectric capacitors. She received an NSF CAREER award in 2021 for her work on multi-scale polymer dynamics. Key trends in her publications include polymer dynamics under nanoconfinement, interfacial interactions in hybrid materials, and scalable fabrication methods like roll-to-roll processing. Her research has implications for electronics, energy systems, and sustainable materials. Scientific Awards: NSF CAREER Award (2021)

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