جستجوی استاد راهنمای دانشگاهی

Pavel Solinمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Finite Element Methods
• +۳ مورد دیگر

Pavel Solin is a Professor in the Department of Mathematics and Statistics at the University of Nevada, Reno (UNR), within the College of Science. His work focuses on computational mathematics, numerical analysis, and innovative approaches to mathematics and computer science education. He has developed advanced finite element methods (FEM), including hp-FEM and discontinuous Galerkin techniques, with applications in engineering, physics, and porous media modeling. His research also emphasizes integrating computational tools into education, such as self-paced programming courses in Python, SQL, and linear algebra. Dr. Solin is the creator of the Hermes2D library, a C++ framework for adaptive hp-FEM and DG solvers, and has contributed to software for multiphysics simulations. His educational efforts include experimental curricula blending mathematics with programming and STEAM principles. Despite no listed scientific awards, his work has been published in numerous journals, reflecting his expertise in both computational methods and pedagogical innovation. His articles span adaptive methods, numerical simulations of physical phenomena, and educational methodologies. He has collaborated on projects involving electromagnetic stirring, thermal conduction, and fluid dynamics. While no advising or grant details are provided, his research lab and team focus on advancing computational techniques and their practical applications in academia and industry.

Beatrice Riviereمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Fluid Mechanics
• +۷ مورد دیگر

Beatrice Riviere is the Noah Harding Chair and Professor in the Department of Computational Applied Mathematics and Operations Research at Rice University. Her research focuses on numerical methods for fluid mechanics and porous media, including high-order methods for multiphase flows and biomedical applications. She leads the Computational Optimization and Modeling of Porous Media (COMP-M) group, funded by the NSF and industry partners. Riviere holds an AWM Fellowship (2022), SIAM Fellowship (2021), and IACM Fellowship (2024). She has advised over 20 Ph.D. students, many of whom pursue academic or industry roles in computational science. Education: Ph.D. (2000, UT Austin), M.Sc. (1996, Penn State), Diplome d’Ingenieur (1995, Ecole Centrale Lyon). Leadership: SIAM Board of Trustees Chair, President of SIAM TX-LA Section (2020-2022), former Department Chair (2015-2018). Publications: Over 100 peer-reviewed articles and two books on discontinuous Galerkin methods and numerical analysis. Her research interests span numerical methods for PDEs, scientific machine learning, and pore-scale modeling. Recent work includes PDE-based neural networks for medical image segmentation and high-performance computing for multiphase flow simulations. Grants & Funding: NSF awards, collaborations with oil/gas industry, and Gulf Coast Consortia for Quantitative Biomedical Sciences. Labs/Teams: COMP-M develops algorithms for energy, biomedical, and environmental applications. Collaborates on cardiovascular mechanics and computational biomedicine.

Anthony Kovscekمشاهده پروفایل

استاد

• Petroleum Engineering
• Geological Carbon Storage
• Hydrogen Storage
• +۴ مورد دیگر

Anthony Kovscek is the Keleen and Carlton Beal Professor of Petroleum Engineering at Stanford University and Senior Fellow at the Precourt Institute for Energy. His research focuses on geological carbon storage, hydrogen storage in subsurface formations, and enhanced oil recovery. He develops predictive models for fluid flow in porous media, emphasizing CO2 leakage mitigation and hydrogen storage optimization. Current projects include assessing storage potential in California's depleted gas fields, optimizing injection well trajectories to minimize geomechanical risks, and evaluating AI-assisted workflows for carbon storage monitoring. He leads the Center for Mechanistic Control of Unconventional Formations (CMC-UF). Recent work explores viscous-dominated flow in saline aquifers, fault-leakage dynamics in the San Joaquin Basin, and renewable energy curtailment solutions via underground storage. His group integrates experimental data with reservoir simulations to advance sustainable energy technologies.

• Geophysical Fluid Dynamics
• Aeolian Dune Morphodynamics
• Turbidity Currents
• +۳ مورد دیگر

Cyril Gadal is a Royal Society Newton International Fellow specializing in applied mathematics with a focus on geophysical fluid dynamics and aeolian processes. His research integrates experimental and theoretical approaches to study dune morphodynamics, turbidity currents, and planetary surface evolution. He contributes to interdisciplinary collaborations across multiple countries, particularly in understanding sediment transport mechanisms and fluid-structure interactions. His work addresses fundamental questions in aeolian geomorphology, including dune classification systems, growth mechanisms, and wind regime impacts. Experimental investigations into turbidity currents and granular flows have advanced understanding of slumping regimes and multiphase flow dynamics. Gadal's research also explores planetary-scale processes through comparative studies of Earth and extraterrestrial surface features. Key contributions include the development of landscape-scale experimental setups, validation of dune instability theories, and the use of advanced simulation techniques for three-dimensional flow analysis. His datasets provide foundational resources for studying particle infiltration in porous beds and validating reanalysis meteorological models against field measurements. Awards: Royal Society Newton International Fellowship Collaborations: International networks in geophysics, fluid dynamics, and planetary science Labs/Teams: Experimental fluid mechanics and granular flow research groups

Geoff Wangمشاهده پروفایل

استاد

• Modelling and Simulation
• Clean Energy Technologies
• CO2 Capture and Utilization
• +۳ مورد دیگر

Professor Geoff Wang is a faculty member at the University of Queensland, affiliated with the School of Chemical Engineering within the Faculty of Engineering, Architecture and Information Technology. He holds the position of Professor and leads the Baosteel Joint Research and Development Centre. His research focuses on energy and environmental technologies, particularly in modeling fluid flow, heat, and mass transfer in chemical reactors and porous media. Key areas include CO2 capture and utilization, clean coal technologies, advanced ironmaking, and steelmaking processes. He has authored a monograph and over 100 journal publications, with patents in related fields. Education: PhD in Chemical and Metallurgical Engineering from Northeastern University (1990), followed by a visiting academic role at the University of New South Wales. Research interests span CO2 sequestration, coalbed methane recovery, and sustainable energy solutions. He leads several grants, including the ARC Research Hub in Zero-emission Power Generation and the HBIS-UQ Innovation Centre for Sustainable Steel. Supervision: Actively involved in doctoral supervision, focusing on topics like CO2 electrolysis, hydrogen ironmaking, and steel refinement. Collaborates with industry partners such as HBIS Group and Baosteel. His work integrates computational modeling, experimental validation, and industrial applications to address global energy and environmental challenges. Labs/Teams: Directs the Baosteel-Australia Joint Research and Development Centre and contributes to cross-disciplinary initiatives in sustainable materials and energy systems. Future work emphasizes scalable CO2 mitigation technologies and low-emission steel production.

Simone Dimartinoمشاهده پروفایل

مدرس ارشد

• 3D Printing
• Material Science
• Chemical Engineering
• +۷ مورد دیگر

Dr. Simone Dimartino is a Senior Lecturer in the School of Engineering at the University of Edinburgh , specializing in Chemical Engineering . His research focuses on 3D printing technologies, bioseparations, and biomaterials development. Laurea summa cum laude in Chemical Engineering, University of Bologna (2005) PhD in Chemical Engineering, University of Bologna (2009) Post Graduate Diploma in Tertiary Teaching, University of Canterbury (2014) Research interests include: High-resolution 3D printing methods Chromatography for biopharmaceutical production Nanoporous materials for hemodialysis Wet-resistant adhesives inspired by marine organisms Biomaterials for medical applications Recent research output trends show strong focus on: 3D printing applications in biomedical contexts Chromatography optimization via computational modeling Sustainable hemodialysis material development Adsorbent design for therapeutic applications Professional affiliations: Associate Member of IChemE Member of NZBio Investigator, Biomolecular Interaction Centre (University of Canterbury)

Lihong Laoمشاهده پروفایل

استادیار

• Polymers
• Fibers and Textiles
• Soft Materials
• +۷ مورد دیگر

Lihong Lao is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Syracuse University, affiliated with the College of Engineering & Computer Science. He leads the Environmental Control Materials (ECM) Lab and is associated with the Syracuse Center of Excellence in Environmental and Energy Systems (SyracuseCoE) and the BioInspired Institute. His work bridges materials science, engineering, and sustainability, focusing on biomimetic approaches to create smart materials for thermal and moisture management in both human-centric systems and built environments. Education: Ph.D., Cornell University B.S. and M.S., Zhejiang University Research Interests: Lao’s expertise spans polymers, fibers, and textiles ; soft and smart materials ; bio-inspired design ; and innovative manufacturing techniques . His lab integrates disciplines like chemistry, electrical engineering, and architecture to address global challenges such as energy efficiency, environmental sustainability, and human health through interdisciplinary innovation. Key projects include developing 'skin-like' fabrics for moisture management and smart materials responsive to environmental stimuli. Awards: He has received the AATCC Foundation Student Research Grant, was a finalist in the Woolmark Performance Challenge, earned Six Sigma Green Belt certification as a Project Leader at Dow Chemical, and holds the Chu Kochen President Scholarship from Zhejiang University. Grants & Funding: Highlighted grants include his work on biomimetic systems and advanced materials development. The ECM Lab collaborates across departments and leverages IoT, machine learning, and artificial intelligence to optimize material performance and reduce energy consumption. Labs/Teams: Director of the ECM Lab, which emphasizes interdisciplinary research to create sustainable solutions for human and environmental thermoregulation. Affiliated with SyracuseCoE and the BioInspired Institute for environmental and energy systems innovation.

Baochao Shanمشاهده پروفایل

پژوهشگر

• Nanotechnology
• Fluid Dynamics
• Energy Resources
• +۳ مورد دیگر

Dr. Baochao Shan is a Researcher affiliated with RWTH Aachen University, contributing to cutting-edge studies in nanoscale fluid dynamics and energy resource modeling. His work focuses on molecular kinetic modeling, non-equilibrium flows, and shale gas reservoir characterization. He has published extensively on topics like confined fluid transport, pore-scale processes, and multiscale modeling techniques. His research integrates computational methods such as lattice Boltzmann simulations and molecular dynamics to address challenges in energy extraction and environmental engineering. Key themes include understanding gas behavior in nanopores, optimizing solute transport models, and analyzing the impact of confinement effects on fluid mechanics. Dr. Shan's publications span 2015–2025, demonstrating a sustained focus on advancing theoretical and applied research in nanotechnology-driven energy systems and porous media dynamics. His work bridges fundamental physics with practical applications in reservoir engineering and sustainable resource management.

• Applied Mathematics
• Geology
• Resources Engineering and Extractive Metallurgy
• +۳ مورد دیگر

James Percival is a Senior Teaching Fellow in the Department of Earth Science & Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on computational methods for fluid dynamics, environmental engineering, and porous media flow. He is affiliated with the Applied Modelling and Computation Group and the Novel Reservoir Modelling and Simulation (NORMS) initiative. His work emphasizes numerical simulations using advanced techniques like discontinuous Galerkin methods and adaptive unstructured meshes. Key research areas include hydro-morphodynamics, multiphase flow modeling, and reservoir engineering. His publications highlight contributions to fluid dynamics, atmospheric modeling (e.g., ATHAM-Fluidity), and environmental applications such as pipeline scour analysis. Percival’s methodologies prioritize high-resolution simulations and mesh optimization for complex geophysical and industrial challenges. His articles reflect a trend toward integrating computational efficiency with accuracy in modeling phenomena like viscous fingering, interfacial flows, and extreme weather events. Despite significant contributions, no awards or grants are explicitly noted in the provided texts.

Georgios Fourtakasمشاهده پروفایل

مدرس

• Meshless Methods
• Computational Fluid Dynamics (CFD)
• Smoothed Particle Hydrodynamics (SPH)
• +۵ مورد دیگر

Dr. Georgios Fourtakas is a Lecturer in Civil Engineering at the University of Manchester’s School of Mechanical Aerospace and Civil Engineering. He specializes in meshless methods, computational fluid dynamics (CFD), and smoothed particle hydrodynamics (SPH). His research focuses on advancing SPH formulations for complex fluid-structure interactions, multiphase flows, and high-performance computing (HPC) applications, particularly through the DualSPHysics open-source framework. He holds a PhD from the University of Manchester (2014) and prior industry experience in aeronautical engineering and thermal fluid mechanics. Education: BEng in Aeronautical Engineering, University of Salford MSc in Aeronautical Engineering, Cranfield University MSc in Thermal Power and Fluid Mechanics (Academic Return) PhD in SPH Applications (University of Manchester) Key Research Areas: SPH formulations (Lagrangian, Eulerian-Lagrangian, ALE) GPU/CUDA acceleration for HPC Boundary condition development Non-Newtonian and sediment flows Fluid-structure interaction (e.g., heart valves) His work contributes to UN Sustainable Development Goals through applications in coastal engineering, cardiovascular systems, and nuclear decommissioning. He has reviewed for journals like Advances in Water Resources and Journal of Hydroinformatics . Recent articles highlight innovations in divergence cleaning for SPH, GPU-accelerated thrombus modeling, and poroelasticity simulations. His DualSPHysics project is widely adopted for real-world engineering problems.

James Arthurمشاهده پروفایل

استادیار

• Transport in Porous Media
• Particle Image Velocimetry
• Wind Tunnel Design
• +۳ مورد دیگر

James Arthur is an Assistant Professor of Mechanical Engineering at Bucknell University. His research specializes in experimental fluid dynamics, particularly transport phenomena in porous media, particle image velocimetry (PIV), and atmospheric dispersion modeling. He develops advanced instrumentation for fluid flow characterization and wind tunnel systems for atmospheric turbulence simulation. Dr. Arthur's work encompasses drag reduction techniques for ground vehicles, bio-inspired flow control inspired by barn owl feathers, and tsunami mitigation strategies. Recent publications establish unified models for porous media flows and optimize micropillar biosensor performance through geometric and flow factor analysis. He teaches thermodynamics, mechanical engineering labs, and senior design courses while maintaining an active experimental research program in fluid-structure interactions and sustainable engineering solutions.

Rochus Schmidمشاهده پروفایل

استاد

• Computational Chemistry
• Materials Science
• Metal-Organic Frameworks
• +۶ مورد دیگر

Prof. Rochus Schmid is an active faculty member at Ruhr-Universität Bochum where he serves as apl. Prof. for Inorganic Chemistry in the Faculty of Chemistry and Biochemistry. He leads the Computational Materials Chemistry (CMC) group and serves as a Principal Investigator for the Collaborative Research Centre / Transregio 247. His research focuses on developing theoretical methods for simulating complex systems in materials chemistry on an atomistic level, with particular emphasis on bridging length and time scales in computational modeling. Dr. Schmid completed his Habilitation in Inorganic Chemistry at Ruhr-Universität Bochum in 2009 and earned his doctoral degree from Technische Universität München in 1997. His academic journey includes postdoctoral research at the University of Calgary under Prof. Tom Ziegler, followed by positions at TU München before joining Ruhr-Universität Bochum in 2003 as a Groupleader. His research interests span computational chemistry methods development, particularly for nanoporous materials. He has pioneered force field development for Metal-Organic Frameworks (MOF-FF) and developed a Real Space DFT code for electrified interfaces. His work addresses fundamental challenges in simulating materials systems across multiple scales, from quantum mechanical calculations to classical molecular dynamics. The CMC group investigates applications in MOFs/COFs, electrochemical systems, combustion processes, and molecular nanosystems including self-assembled rotors. Analysis of his recent publications reveals consistent focus on computational modeling of MOF flexibility, phase transitions, and adsorption phenomena. His work demonstrates expertise in both method development (force fields, DFT implementations) and application to real materials problems, particularly in energy-related applications like hydrogen storage and catalysis. As an academic advisor, Prof. Schmid has mentored numerous PhD students and postdoctoral researchers. His group currently includes several active PhD students working on projects funded by CRC/TRR 247 and other collaborative initiatives. He has also served as study counselor for BSc and MSc Chemistry programs at Ruhr-Universität Bochum since 2012. The CMC group operates within the Chair of Inorganic Chemistry 2 at Ruhr-Universität Bochum, maintaining strong collaborations with experimental groups both within the university and internationally. The group's work is characterized by close integration between methodological development and application to materials chemistry problems, with particular emphasis on creating computational tools that bridge multiple scales of modeling.

• Type Theory
• Programming Language Semantics
• Formal Proofs
• +۲ مورد دیگر

Ján Perháč is an Assistant Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice. He teaches core courses including Database Systems, Logic for Informaticians, and Type Theory, while leading laboratory sessions on programming semantics and formal methods. His office is located at Letná 9 (Building B525), with consultations available by appointment. Research Focus: Dr. Perháč specializes in computational logic and formal methods, with emphasis on: Development of educational tools for teaching formal proofs and programming semantics Applications of non-traditional logical systems in computer science Type theory implementations and semantic modeling of programming languages Web-based interactive systems for logic visualization and automated theorem proving Publication Analysis: His recent articles (2022-2025) demonstrate strong focus on creating pedagogical tools for formal logic education, with multiple web-based proof assistants and visualization platforms. Secondary themes include advancements in intensional logic systems and programming language semantics, with occasional interdisciplinary work in environmental modeling and geoinformatics. Awards & Recognition: Best Presentation Award at SCYR 2019 Doctoral Conference (IT Section) Research Leadership: Principal Investigator for: European Research Network on Formal Proofs Modern Approaches in IT Education: Type Theory Participant in projects including compiler education innovations and edge-to-cloud computing architectures. Serves on program committees for IEEE Informatics conferences and the Modeling, Control and Information Technologies symposium.

Qingyun Liمشاهده پروفایل

استادیار

• Environmental Geochemistry
• Energy Systems
• Water-Rock Interactions
• +۳ مورد دیگر

Qingyun Li is an Assistant Professor in the Department of Geosciences at Stony Brook University, where he has been a faculty member since 2021. His research focuses on experimental geochemistry, synchrotron X-ray techniques, and reactive transport modeling to study water-rock interactions in energy and environmental systems. Key areas include: biogeochemical reactions during subsurface energy storage, contaminant transport in groundwater, and coupling of chemical and mechanical alterations in rocks. Dr. Li holds a B.S. in Environmental Sciences from Peking University (2011) and a Ph.D. in Energy, Environmental, and Chemical Engineering from Washington University in St. Louis (2016). He conducted postdoctoral research at Stanford University and the SLAC National Accelerator Laboratory, advancing his expertise in mineral nucleation and geochemical modeling. His research lab, the Energy and Environmental Geochemistry Laboratory, explores three core themes: (1) water-rock interactions in geotechnical systems (e.g., geothermal energy, CO2 sequestration), (2) mineral nucleation and growth (e.g., barite, lithium carbonate), and (3) geochemical tools for environmental remediation (e.g., nitrogen/phosphorus reduction in Long Island groundwater). Recent work emphasizes shale-fluid interactions in hydraulic fracturing and the geochemical impacts of underground hydrogen storage. Publications highlight interdisciplinary approaches to understanding subsurface processes, including reactive transport modeling of mineral scaling, synchrotron-based imaging of shale alteration, and geochemical controls on cement deterioration under CO2 exposure. His research bridges laboratory experiments, field observations, and computational modeling to address challenges in energy sustainability and environmental protection.

• Interfacial Transport
• Complex Wetting
• Heat Transfer
• +۵ مورد دیگر

Dr. Tatiana Gambaryan-Roisman is an Adjunct Professor (Apl. Prof.) at Technische Universität Darmstadt, where she leads the research group Interfacial Transport and Complex Wetting . She holds a D.Sc. in Mechanical Engineering from Technion and completed her habilitation in Heat Transfer at TU Darmstadt. Her research explores interfacial phenomena, including droplet dynamics, evaporation/condensation, and heat transfer enhancement using nanostructured surfaces. Her work integrates experimental and computational methods to study: Drop impact on heated/deformable substrates Marangoni convection in thin films Wetting of porous and textured materials Nanoparticle assembly and battery interface engineering Recent publications focus on droplet coalescence, evaporation kinetics, and lithium-ion battery interfaces, demonstrating consistent innovation in thermal-fluid sciences. She coordinates EU projects like nanoPaInt and has led the Emmy Noether Research Group. Awards include: Ralf-Dahrendorf Prize for European Research (2019) Emmy Noether Grant (2002–2009) Minerva Fellowship (1998–2000) She serves on editorial boards for Experimental Thermal and Fluid Science and Current Opinion in Colloid & Interface Science , and organizes international conferences like Droplets 2021.