جست‌وجوی استاد و پژوهشگر

Alfonso Benavides-Iglesiasمشاهده پروفایل

مدرس

• Near-Surface Geophysics
• Control-Source Electromagnetics
• Geophysical Instrumentation
• +۳ مورد دیگر

Alfonso Benavides-Iglesias is a Lecturer at Texas A&M University (TAMU) and serves as a consultant for PB&A, Inc. in Austin, TX, and RBT Oil Group in Bogotá, Colombia. His research focuses on Near-Surface Geophysics, Control-Source Electromagnetics, and Geophysical Instrumentation, with a strong emphasis on unexploded ordnance (UXO) detection and environmental applications. He holds a Ph.D. in Geophysics from TAMU (2007) and a Lic. in Physics from Universidad Central de Venezuela (1995). His work spans experimental studies of electromagnetic responses in buried targets, noise reduction techniques in geophysical data, and fractal analysis of environmental signals. Key contributions include advancements in self-organizing maps for UXO discrimination and 3D finite-element modeling of conductive targets. Benavides-Iglesias has collaborated on dam leakage characterization using electromagnetic induction and DC resistivity, demonstrating interdisciplinary applications of geophysics in environmental and engineering contexts. Publications highlight innovations in controlled-source electromagnetic (CSEM) methods, including array design optimization and signal enhancement strategies. His research bridges theoretical geophysics with practical field applications, such as mineral exploration in Venezuela and military UXO detection. Despite no listed awards, his extensive publication record reflects sustained contributions to geophysical methodologies and instrumentation. Advising and grants are not explicitly detailed, though his consulting roles suggest involvement in industry-academia partnerships. He has presented at major conferences like SEG and SAGEEP, showcasing advancements in CSEM and UXO detection technologies. Collaborations span institutions like the University of Zulia (Venezuela) and PB&A, Inc., underscoring both academic and applied research engagement.

• Fluid Mechanics
• Nonlinear Dynamics
• Suspension Mechanics
• +۷ مورد دیگر

Associate Professor Daniel Lester is affiliated with the School of Engineering at RMIT University in Melbourne, Australia. His research focuses on interdisciplinary engineering, fluid mechanics, and porous media transport phenomena. He specializes in chaotic mixing, thixotropic fluids, and computational methods applied to environmental and biomedical systems. Lester leads research projects on microplastic transport, wastewater sludge pipeline optimization, and droplet dynamics in human respiratory systems. Research Interests Lester’s work spans fluid dynamics, nonlinear dynamics, rheology, and environmental engineering. He investigates transport in porous media, heat transfer enhancement using ferrofluids, and aerosol dispersion modeling for infection control. His recent studies address challenges in groundwater flow, sludge pipeline transport, and colloidal suspension behavior under shear/compression. Key Contributions Lester has pioneered methods for quantifying solute dispersion in heterogeneous poroelastic media using Lagrangian coherent structures. His team developed stochastic frameworks for tidal effects in coastal aquifers and validated numerical models for chaotic advection in mineral processing systems. He collaborates on field trials to enhance reagent delivery via fluid mixing mechanisms. Teaching Lester teaches advanced courses in nonlinear dynamics, computational fluid dynamics, and rheology. His supervision spans 18 active/recent research projects including PhD/Masters topics on microplastic retention in wetlands, biological nutrient removal processes, and biomimetic filtration systems.

Hans Johnstonمشاهده پروفایل

مدرس ارشد

• Scientific Computing
• Fluid Dynamics
• Computational Fluid Dynamics
• +۳ مورد دیگر

Hans Johnston is a Senior Lecturer in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. He holds a Ph.D. in Mathematics from Temple University (1999), an M.A. from the University of Pittsburgh (1991), and a B.A. from Temple University (1989). His research focuses on Scientific Computing and Fluid Dynamics, with particular expertise in turbulence modeling, computational fluid dynamics, and numerical methods for partial differential equations. Education Ph.D. in Mathematics, Temple University, 1999 M.A. in Mathematics, University of Pittsburgh, 1991 B.A. in Mathematics, Temple University, 1989 Research Interests Dr. Johnston’s work emphasizes the development and analysis of numerical algorithms for fluid flow problems. His research includes studies on Rayleigh-Bénard convection, turbulent heat transfer, and high-performance computing techniques for simulating complex fluid systems. He has contributed to advancements in Navier-Stokes solvers, treecode algorithms for Coulomb interactions, and the mathematical modeling of porous media flows. Publications His publications span topics in computational fluid dynamics, geophysical fluid dynamics, and numerical analysis. Recent work includes studies on turbulence assimilation, convective heat flux dynamics, and high-Rayleigh-number convection in porous layers. Teaching and Affiliations Noted for award-winning teaching, he contributes to the university’s Research Computing Facility (RCF). His office is located in LGRT 1571.

• Partial Differential Equations
• Nonlinear Analysis
• Mathematical Physics
• +۳ مورد دیگر

Oussama Landoulsi is a Marshall H. Stone Visiting Assistant Professor at the Department of Mathematics and Statistics , University of Massachusetts Amherst, collaborating with Sohrab Shahshahani. He previously held a Postdoctoral Researcher position at Florida International University (FIU) under Hakima Bessaih and Svetlana Roudenko, and was a Visiting Researcher at FIU (2019-2020) and a Visiting Teaching/Research Assistant at Sorbonne Paris Nord (LAGA, 2020-2021). His academic background includes a PhD and M.S. in applied mathematics from Sorbonne Paris Nord under Thomas Duyckaerts. Research focuses on nonlinear Schrödinger equations , stochastic systems in porous media , and dynamics of partial differential equations (PDEs) . Key areas include obstacle interactions, blow-up phenomena, solitary wave construction, and long-time behavior analysis. His work combines theoretical rigor with applications in mathematical physics and fluid dynamics. Publications highlight interdisciplinary approaches to PDEs, with recent emphasis on convex obstacle dynamics and stochastic models in porous media. Teaching excellence is noted, though specific awards are not detailed. Collaborative efforts span international institutions, reflecting a global academic network.

Konstantin Ilinمشاهده پروفایل

مدرس

• Fluid Dynamics
• Magnetohydrodynamics
• Hydrodynamic Stability Theory
• +۳ مورد دیگر

Dr. Konstantin Ilin is a Lecturer at the University of York since 2005, previously at the University of Hull (2001–2005) and Hong Kong University of Science & Technology. His research focuses on fluid dynamics, magnetohydrodynamics, and hydrodynamic stability theory. He explores phenomena such as stability in nearly inviscid flows with permeable boundaries, mean effects of high-frequency vibrations in fluids and plasma, and steady streaming induced by oscillating bodies. Education: B.Sc./M.Sc. from Novosibirsk State University (Russia), followed by research at the Lavrentyev Institute for Hydrodynamics (Russian Academy of Sciences) and Hong Kong University of Science & Technology. His work integrates mathematical modeling with experimental observations, addressing challenges in fluid mechanics and plasma physics. Research interests include boundary condition effects on stability, vibrational flows at high Reynolds numbers, and the dynamics of rotating systems. Recent studies highlight contributions to Couette-Taylor flow instability, Patlak-Keller-Segel systems, and shallow-water models. He supervises PhD projects in fluid dynamics, with an example being Muhammad Adil Sadiq’s 2011 work on steady streaming in viscous fluids. Contact: Office G/N/142, University of York. Tel: +44 1904 32 4149.

Luis Felipe Pereiraمشاهده پروفایل

استاد

• Mathematical Modeling
• Numerical Simulation of Multiphase Flows
• Uncertainty Quantification
• +۵ مورد دیگر

Luis Felipe Pereira is a Professor in the Department of Mathematical Sciences at the School of Natural Sciences and Mathematics, University of Texas at Dallas. His research focuses on mathematical modeling and numerical simulation of multiphase flows in porous media, uncertainty quantification, CO2 storage, oil recovery, contaminant transport, and high-performance scientific computing. He specializes in developing advanced multiscale methods and parallel algorithms to address complex subsurface flow problems. His work combines computational mathematics with applications in energy and environmental systems, including reservoir engineering and geomechanics. Key contributions include the development of multiscale mixed methods, Bayesian frameworks for subsurface characterization, and efficient parallel implementations for billion-cell reservoir simulations. Recent research trends emphasize improving algorithm scalability, integrating machine learning techniques, and addressing challenges in heterogeneous media. His computational tools enable predictive modeling of subsurface processes under uncertainty, with applications in CO2 sequestration, groundwater contamination, and enhanced oil recovery. No scientific awards or grants are explicitly listed in the provided texts. Advising information is not documented here, though his research group likely engages in graduate student mentorship in applied mathematics and computational science. He collaborates on interdisciplinary projects involving porous media flow across multiple scales.

• Geomechanics
• Tunneling Engineering
• Rock Mass Stability
• +۴ مورد دیگر

Gustavo Paneiro is an Assistant Professor at the Department of Mineral and Energy Resources Engineering, part of the School of Engineering at Instituto Superior Técnico (University of Lisbon). He is affiliated with the CERENA - Center for Natural Resources and Environment research unit. His research focuses on geomechanics, rock mass stability, tunneling engineering, and environmental geotechnics, with particular emphasis on vibration analysis, acoustic emission techniques, and subsurface resource characterization. Teaching responsibilities include advanced courses such as 'Computational Geomechanics,' 'Spatial Uncertainty Modeling,' and 'Instrumentation and Signal Acquisition in Geoengineering.' His work integrates theoretical modeling with field data analysis, addressing challenges in mining engineering, infrastructure development, and heritage material preservation. Key research trends from his publications include: Quantitative analysis of rock behavior under varying stress/temperature conditions Vibration prediction and control in tunneling and blasting operations Machine learning applications for geospatial and material science problems Development of novel methodologies for subsurface stability assessment He has contributed to projects involving environmental impact studies, mine pillar design, and the optimization of geotechnical support systems. His work bridges academic research with practical engineering solutions for complex subsurface projects.

Vinogradova Olga Igorevnaمشاهده پروفایل

استاد

• Soft condensed matter
• Micro- and nanofluidics
• Colloid and interface science
• +۳ مورد دیگر

Olga Igorevna Vinogradova is a Full Professor at the Department of Physics, Lomonosov Moscow State University (since 2009) and Director of Laboratory at the A.N. Frumkin Institute of Physical Chemistry and Electrochemistry RAS (since 1993). She holds concurrent roles as Associated Leading Scientist at Leibniz Institute for Interactive Materials (since 2007) and has held prestigious positions such as Joliot Chair (2007-2008) and Alexander von Humboldt Fellowship (1998-2000). Her research focuses on soft condensed matter, micro/nanofluidics, and colloid science. Key contributions include studies on superhydrophobic surfaces, hydrodynamic slip mechanisms, and electrokinetic phenomena. Over 100 publications have earned her a Google Scholar h-index of 41. Awards include the Joliot Chair (2007-2008) and State Research Fellowship (1994-1996). Her work bridges fundamental fluid mechanics with applications in microfluidic systems and surface engineering.

Joseph Wilderمشاهده پروفایل

استاد

• Mathematical Modeling
• Scientific Computation
• Algorithmic Art
• +۳ مورد دیگر

Dr. Joseph Wilder is a Professor in the Department of Mathematics at the University of Akron, where he has served since 2006. Prior to this, he spent 15 years as a professor at a state university and three years overseeing research groups at a Department of Energy National Laboratory. His roles at UA include Chair of the Math Department, Interim Chair of Statistics, Associate Dean for Graduate Studies and Research, Director of Research for the Buchtel College of Arts & Sciences, and Vice-Dean of BCAS, alongside other Provost's Office roles. His research focuses on mathematical modeling, scientific computation, and algorithmically generated art, particularly fractals derived from polynomial zero analysis. He has published extensively in journals and contributed to numerous research grants. His work spans corrosion modeling, porous media dynamics, and gas hydrate thermodynamics. Dr. Wilder’s publications reflect a strong emphasis on computational and applied mathematics, with recent efforts addressing galvanic corrosion mechanisms and hydrate dissociation processes. His earlier work includes fluidized bed modeling and gypsy moth population dynamics studies. While no specific awards are listed, his contributions highlight interdisciplinary applications of mathematical techniques.

• Underground Hydrogen Storage
• Wellbore Decommissioning
• CO2 Sequestration in Coal Seams
• +۳ مورد دیگر

Dr Alireza Salmachi is a Senior Lecturer in the School of Chemical Engineering at The University of Adelaide. He specializes in subsurface energy systems, with a focus on hydrogen storage, CO2 sequestration, and reservoir engineering. His research integrates geomechanical modeling, wellbore integrity, and innovative 3D printing techniques for porous media. Current projects include underground hydrogen storage in depleted reservoirs, repurposing decommissioned wellbores for energy storage, and CO2 sequestration in coal seams using micro-CT imaging. Research interests span: Hydrogen energy storage mechanisms and infrastructure Wellbore integrity and decommissioning strategies CO2 sequestration efficiency in coal seams Unconventional reservoir production analysis 3D-printed porous media design for energy applications His recent publications emphasize techno-economic assessments of hydrogen storage, geomechanical impacts of CO2 injection, and fractal-based porous media modeling. He actively supervises postgraduate research in these areas through collaborative industry partnerships.

Lev Gelbمشاهده پروفایل

دانشیار

• Data analysis
• Machine learning
• Surface analysis methods
• +۵ مورد دیگر

Lev Gelb is an Associate Professor in the Department of Materials Science & Engineering at the University of Texas at Dallas (UTD), part of the Erik Jonsson School of Engineering and Computer Science. Previously, he held positions at Washington University in St. Louis and Florida State University. He earned a PhD in Theoretical Chemistry from Cambridge University (1995) and a BA in Chemistry from Columbia University (1992). His research focuses on computational materials science, including data analysis, machine learning, surface analysis methods, and energy storage systems. Key interests span free energy calculations, nanostructured materials, and high-performance computing. His work often involves molecular simulations of complex systems like colloidal gels, ionic liquids, and porous materials. Dr. Gelb has received awards such as the NSF CAREER Award and CISE Post-Doctoral Fellowship. His publications explore topics like aerogel modeling, TOF-SIMS data analysis, and phase equilibria in confined geometries. He is affiliated with professional organizations such as AIChE and ACS. While currently not accepting undergraduate students, his research encompasses collaborations in computational mechanics, materials characterization, and interdisciplinary projects at the intersection of chemistry and engineering.

• Biomedical Engineering
• Computational Fluid Dynamics
• Flight Physics
• +۴ مورد دیگر

Dr. Tamas Jozsa is a Lecturer in Computational Fluid Dynamics at Cranfield University 's Centre for Computational Engineering Sciences. He joined Cranfield in early 2023 after a research fellowship at Amsterdam University Medical Centres and postdoctoral/mentoring roles at the University of Oxford (2018-2023) for the EU HORIZON2020 INSIST project. His academic journey began with a Mechanical Engineering BSc from Budapest University of Technology and Economics (2012), followed by MSc studies at Cranfield University and Budapest University of Technology and Economics. His career trajectory spans positions from PhD research (University of Edinburgh 2014-) in marine coating technology to medical applications of CFD in stroke research. Education Mechanical Engineering BSc (BUT 2012) MSc Computational Fluid Dynamics (Cranfield 2014) MSc Mechanical Engineering Modelling (BUT 2014) Dr. Jozsa's work bridges two major domains: aerodynamic drag reduction (marine coatings, wind tunnels) and biomedical CFD applications for stroke research. His research spans: Biomedical Engineering Cerebral blood flow modeling In silico clinical trials Osmotherapy for stroke treatment Microthrombi impact analysis Computational Fluid Dynamics Lattice Boltzmann methods Porous media modeling Wall turbulence control High-fidelity simulations Clinical Integration INSIST EU project Medical imaging data assimilation Physiological parameter quantification Stroke treatment optimization His peer-reviewed publications demonstrate expertise in: Developing and validating CFD models for clinical applications Combining 1D arterial flow with 3D tissue perfusion models Applying lattice Boltzmann methods to medical problems Quantifying hypoxia and tissue damage in stroke patients Optimizing brain oxygen transport through computational models Validating simulation frameworks for regulatory applications Dr. Jozsa's collaborative network spans institutions including: Amsterdam UMC University of Oxford University of Edinburgh European partners in the INSIST consortium International collaborators in medical imaging and computational physiology

Bart Erichمشاهده پروفایل

دانشیار

• Transport Processes
• Materials Science
• Nuclear Magnetic Resonance (NMR)
• +۴ مورد دیگر

S.J.F. (Bart) Erich is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Transport in Permeable Media research group. His work bridges application-oriented research at TNO with fundamental studies at TU/e, focusing on transport processes in materials for durability, energy storage, and sustainable applications. MSc in Applied Physics, Eindhoven University of Technology PhD in 2006, Eindhoven University of Technology, supervised by Prof. Klaas Kopinga Research Themes: Bart’s work combines experimental techniques like NMR imaging with modeling to analyze transport phenomena in coatings, packaging, and energy-related materials. Recent projects include aesthetic solar harvesting (Horizon 2020 ENVISION) and thermochemical heat storage (TU/e & TNO). His expertise spans polymer curing, liquid penetration in cellulose sheets, and nanoparticle dynamics in porous media. Scientific Contributions: His publications emphasize NMR applications , diffusivity , and transport in soft matter . Key collaborations include TNO, AkzoNobel, and DSM, aligning with UN Sustainable Development Goals for clean energy and sustainable materials. Teaching & Outreach: He instructs master courses on NMR/MRI for imaging and transport physics, integrating quantum mechanics, flow dynamics, and electronics. Media coverage highlights his contributions to energy-efficient housing and urban clean energy harvesting.

Jin Suntivichمشاهده پروفایل

دانشیار

• Electrocatalysis
• Surface Science
• Materials for Energy Storage and Conversion
• +۱۲ مورد دیگر

Jin Suntivich is an Associate Professor in the Department of Materials Science and Engineering at Cornell University's College of Engineering. His research centers on understanding the fundamental mechanisms of electrocatalysis and the structure-property relationships at solid-liquid interfaces, with applications in energy storage, conversion, and sustainable materials. Ph.D. in Materials Science and Engineering, Massachusetts Institute of Technology (2012) B.A./B.S. in Materials Science and Engineering and Integrated Science, Northwestern University (2006) His research interests span electrocatalysis , surface science , in-situ probing tools , energy materials , and sustainable separation technologies . He investigates interfacial phenomena such as oxygen evolution, hydrogen electrocatalysis, and water activation, often combining experimental and theoretical approaches. His recent publications emphasize in-situ characterization , electrochemical interface dynamics , materials for energy applications , and sustainable recycling methods , particularly for polymers and textiles. The work frequently involves advanced microscopy, spectroscopy, and computational modeling to reveal reaction mechanisms at the atomic level. Notable awards include: Sloan Research Fellowship (2018) Humboldt Research Fellowship (2021) James and Mary Tien Teaching Award (2020) Research Excellence Award, Cornell Engineering (2022) Early Career Achievement Award, Northwestern (2023) He has secured research grants supporting investigations into electrochemical systems and materials sustainability. His work contributes to next-generation fuel cells, electrolyzers, and circular economy technologies. He leads a research group focused on developing novel in-situ tools and mechanism-driven material design . The lab collaborates across disciplines to address challenges in energy and environmental sustainability.

• Nuclear Engineering
• Computational Modeling
• Neutron Transport
• +۷ مورد دیگر

Dr. Andrew Buchan is an Honorary Lecturer in the Department of Earth Science and Engineering at Imperial College London , affiliated with the Faculty of Engineering . His research focuses on advanced computational methods for nuclear systems, including neutron transport modeling and multi-phase fluid flow simulations. He leads the development of codes like FETCH and RADIANT , emphasizing adaptive finite elements, reduced order models, and uncertainty quantification. Education: PhD in Nuclear Engineering, Imperial College London (2002–2006) Research Interests: Simulation of coupled neutron transport and fluid dynamics in nuclear reactors Development of novel numerical methods (e.g., spherical wavelets, Krylov solvers) Historical criticality accident analysis and reactor safety modeling Integration of AI/ML techniques for improved computational efficiency Grant Coordination: Scientific coordinator of a major grant to design the RADIANT radiation transport model. Labs/Teams: Active in the Applied Modelling and Computation Group at Imperial College.