جست‌وجوی استاد و پژوهشگر

Pavan Laxmipathy Veluvaliمشاهده پروفایل

پژوهشگر

• Computational Materials Science
• Numerical Modeling and Simulation
• Computational Fluid Dynamics
• +۱۰ مورد دیگر

Dr. Pavan Laxmipathy Veluvali is a Computational Materials Scientist currently working as a Postdoctoral Researcher at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany. He is a member of Prof. Dr. Peter Benner's group focused on Computational Methods in Systems and Control Theory. His work integrates numerical mathematics and materials science to advance computational workflows. His educational background includes: Ph.D in Computational Materials Science, Karlsruhe Institute of Technology, 2021 Master of Science (M.Sc) in Materials Science and Simulation, Ruhr Universitaet Bochum, 2016 Bachelor of Technology (B.Tech) in Metallurgical and Materials Engineering, Jawaharlal Nehru Technological University, 2013 Dr. Veluvali's research focuses on computational materials science, particularly phase-field modeling of solidification microstructures. His work investigates the role of diffusive-convective regimes on solidification phenomena including grain boundary grooves, dendritic growth, tip splitting, and poly-phase microstructures in binary alloys. He has expanded his expertise to include alloy solidification, electrochemistry, thin-film coatings, multiphase flows, and additive manufacturing. Recently, he has been working on computational workflows that integrate numerical mathematics and materials science, with a focus on FAIR (Findable, Accessible, Interoperable, Reusable) data principles. His publication record demonstrates a strong focus on phase-field modeling applications in materials science, with recent work shifting toward computational workflows and data infrastructure. The earlier publications (2018-2021) primarily address fundamental materials science questions using phase-field methods, while more recent work (2022-2025) shows increasing emphasis on computational frameworks, metadata abstraction, and FAIR data principles in computational science. Dr. Veluvali serves as a peer reviewer for several prestigious journals including Journal of Applied Physics, Journal of Phase Equilibria, and Journal of Physics: Condensed Matter. Currently, he is a Teaching Assistant for the Scientific Computing-I course at Otto-von-Guericke-Universität Magdeburg, where he guides students through practical implementation of numerical algorithms, shell scripting, and memory management. He is an active participant in the research community, regularly presenting his work at conferences including SIAM CSE, DMV Annual Meeting, and MaRDI workshops. His research is supported by the Max Planck Institute and likely through collaborative projects with academic and industry partners.

• Rock Physics
• Geophysical Monitoring
• Carbon Capture and Storage
• +۷ مورد دیگر

Dr. Ismael Himar Falcon-Suarez is a researcher at the University of Southampton, affiliated with the Faculty of Engineering and Physical Sciences and the School of Ocean and Earth Science. His work focuses on experimental and applied geophysics, particularly in the context of subsurface energy systems and environmental monitoring. Research Interests: Rock Physics and geophysical monitoring of subsurface processes Carbon capture and storage (CCS) and CO₂ sequestration Underground energy storage in salt and sedimentary formations Hydrate formation and methane bubble dynamics Transport and geomechanical properties of porous media Marine geophysics and submarine fluid escape systems His recent publications (2019–2025) demonstrate a strong focus on experimental methods, including X-ray micro-CT imaging, laboratory wave propagation, and flow-through experiments, applied to challenges in energy transition and environmental protection. Key themes include early detection of salt precipitation in CCS, CO₂ leakage monitoring using CSEM, and hydrate growth dynamics. Supervision: Currently supervising PhD student Eray Caceoglu (INSPIRE project). Collaborations: He works extensively with researchers such as Hector Marin-Moreno, Angus I. Best, Timothy A. Minshull, and Jonathan Bull, indicating strong integration within the geophysics and energy research community at Southampton.

• Fluid Machinery
• Thermal and Hydraulic Machines
• Internal Combustion Engines
• +۳ مورد دیگر

Oscar Vento serves as a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino, Italy, within the College of Mechanical, Aerospace, and Automotive Engineering. His academic responsibilities span teaching Computational Heat and Mass Transfer at the PhD level in Energetics and Fluid Machines across Bachelor's and Master's programs in Mechanical Engineering since the 2019/20 academic year through current 2025/26 offerings. Research Focus: Dr. Vento's work centers on fluid machinery and thermal systems, with emphasis on internal combustion engines, fuel injection technologies, and sustainable energy solutions. His expertise includes Gasoline Direct Injection (GDI) systems, cavitation phenomena, thermal-hydraulic performance analysis, and real-time control methodologies for fuel systems. Research aligns with UN Sustainable Development Goals 7 (Clean Energy), 9 (Innovation), 11 (Sustainable Cities), and 12 (Responsible Consumption). Publication Trends: Recent publications (2022-2025) demonstrate consistent focus on experimental and numerical investigations of fuel injection dynamics, with increasing emphasis on alternative fuels (ammonia), neural network applications, and transient flow measurement techniques. Research bridges fundamental fluid mechanics with practical automotive engineering challenges, particularly in emission reduction and energy efficiency. Advising and Intellectual Property: Co-supervises PhD candidate Carmelo Baronetto (Energetics program, 39th cycle, 2023-present) Holds national patent: System and method for measuring injected flow rate using a neural network (with Ferrari and Novara) Cod holds national/international patents: Control of the quantity injected into internal combustion engines (with Ferrari, Novara, Violante, Zhang) Research Context: Collaborates extensively within Alessandro Ferrari's research group, with publications spanning ENERGY, FUEL, ENERGIES, and Journal of Fluid Mechanics. Work addresses critical challenges in sustainable transportation through advanced diagnostics, control systems, and alternative fuel combustion research.

• Carbon Capture and Storage
• Multiphase Flow in Porous Media
• Numerical Simulation
• +۴ مورد دیگر

Yuri Leonenko is an Associate Professor at the University of Waterloo, with an office in EIT-2048 (ext. 32160) and email contact leonenko@uwaterloo.ca. His research centers on Climate Control technologies, particularly Carbon Capture and Storage (CCS). Key expertise includes modeling multiphase flow in porous media and fractures, CO 2 -reservoir fluid interactions, and novel in situ/ex situ CO 2 dissolution methods. His work integrates risk assessment and economic evaluation of CCS projects to advance sustainable climate solutions. Scientific Awards: No awards mentioned Advising and Grants: No student or grant information provided Labs and Teams: No laboratory or team affiliations specified

Jian-Guo Liuمشاهده پروفایل

استاد

• Applied Mathematics
• Partial Differential Equations
• Kinetic Theory
• +۷ مورد دیگر

Jian-Guo Liu is a Professor of Mathematics and Physics at Duke University, with primary affiliations in the Departments of Mathematics and Physics. His research encompasses applied mathematics, partial differential equations, kinetic theory, computational fluid dynamics, and stochastic algorithms. Professor Liu's work bridges theoretical modeling and numerical methods, particularly in complex systems involving nonlinear dynamics, fluid behavior, and emergent phenomena. Research interests focus on multiscale modeling of physical systems, including stochastic processes in chemical reactions, fluid-structure interactions, and materials science. Recent publications demonstrate strong emphasis on mathematical foundations of biological and physical systems, with recurring themes in Fokker-Planck dynamics, mean-field games, tumor growth modeling, and computational methods for interfacial phenomena. Publications showcase consistent focus on analytical and numerical solutions to high-dimensional problems, with applications ranging from medical imaging to electrochemistry. The work exhibits advanced techniques in asymptotic analysis, stochastic approximations, and geometric evolution equations.

• Computational Fluid Dynamics
• Heat & Mass Transfer
• Fluid Mechanics
• +۲ مورد دیگر

Dr. Yuchen Dai is a Postdoctoral Research Fellow at the School of Chemical Engineering, University of Queensland (UQ), with expertise in computational fluid dynamics (CFD), microfluidics, and non-linear dynamic systems. He previously worked at Griffith University and the Queensland Micro&Nanotechnology Centre (QMNC) until 2023. PhD in Mechanical Engineering (2021), University of Queensland His research spans heat & mass transfer, fluid mechanics, and analytical methods, focusing on microfluidic devices for biomedical applications. Recent publications highlight innovations in droplet generation, cell separation, and viscoelastic fluid behavior. Dr. Dai has authored 10 journal articles (2018–2025) and 1 conference paper, covering topics like microfluidic particle manipulation , double emulsion stability , and liquid marble mixing . He is currently available for supervision.

• Computational Fluid Dynamics
• Multiphase Compressible Flows
• Finite Volume Schemes
• +۴ مورد دیگر

Marica Pelanti is an Assistant Professor at the Department of Mechanical Engineering (UME) of ENSTA Paris , part of the Institut Polytechnique de Paris . She works on Computational Fluid Dynamics and Multiphase Compressible Flows , focusing on numerical modeling of liquid-vapor flows with phase transfer processes, particularly cavitation for industrial applications. Doctorate in Applied Mathematics (2005, University of Washington) Master in Aerospace Engineering (1999, Politecnico di Milano) Her research employs Finite Volume Schemes and advanced Riemann solvers like HLLC and Roe for low Mach number preconditioning. She leads funded projects on multiphase flow modeling and has extensive publication records in journals like J. Comput. Phys. and Int. J. Multiphase Flow .

• Continuous Casting Processes
• Mathematical Modeling of Industrial Systems
• Fluid Dynamics
• +۳ مورد دیگر

Michael Vynnycky is an Affiliated Professor at KTH Royal Institute of Technology , specializing in mathematical modeling and numerical analysis of industrial metallurgical processes. His research focuses on continuous casting , electromagnetic stirring , and fluid-structure interactions in manufacturing systems. Key Research Areas: Continuous casting of metals, fluid dynamics, heat transfer, computational methods (FEM, CFD), inverse Stefan problems, and oscillation mark formation. Collaborations: Frequent collaboration with researchers like H. Fredriksson, B. Glaser, and A. Safavi Nick. Applications: Steel production, die casting, redox flow batteries, and polymer electrolyte fuel cells. Recent publications highlight work on blast furnace dynamics , muon radiography for structural analysis, and asymptotic modeling of gas-solid flows. His methodologies emphasize mathematical rigor and industrial relevance , as seen in studies on macrosegregation and electromagnetic flow control. Techniques: Leverages asymptotic analysis multiphysics simulation finite element methods computational fluid dynamics boundary reconstruction algorithms experimental validation to solve complex industrial problems. Email Contact: michaelv@kth.se

• Nanoshock
• Multiphase Flow Analysis
• Cavitation Dynamics
• +۳ مورد دیگر

Alexander Bußmann is a Researcher at the Chair of Aerodynamics and Fluid Mechanics at the Technical University of Munich . His work focuses on nanoshock phenomena and multiphase flow analysis , particularly through numerical simulations of cavitation dynamics and interface tracking. Research Highlights: Development of hybrid WENO5IS-THINC schemes for compressible multiphase flows Analysis of micro-jet formation via cavitation bubble interactions Investigation of particle deposition in thermal-spray gun nozzles Publications span topics in fluid mechanics, computational physics, and photonics, with a focus on cavitation dynamics, numerical methods, and multiphase flow modeling. Key collaborations include work with Stefan Adami and Nikolaus A. Adams .

Laura Torrente Murcianoمشاهده پروفایل

استاد

• Reaction engineering
• Colloids
• Nanoparticles
• +۳ مورد دیگر

Professor Laura Torrente Murciano leads the Process Integration and Catalysis Group at the University of Cambridge's Department of Chemical Engineering and Biotechnology. Her research focuses on sustainable chemical processes, particularly integrating reaction and separation steps for green technologies. Reaction engineering with 3D-printed microdevices Nanoparticle synthesis for catalytic applications Ammonia production as a hydrogen vector Low-temperature activation of methane and CO2 Her work spans multiphasic systems, metallic membranes, and nanostructured materials like ceria and titanate. Recent publications highlight techno-economic analyses of green ammonia, dynamic energy integration, and catalytic process innovations. Key themes across her research include: Process optimization for renewable energy storage Development of sustainable hydrogen production methods Design of tuneable nanoparticle catalysts Structure-property relationships in catalytic supports Life cycle analysis of green technologies Photocatalytic and electrochemical material applications

• Chemical Engineering
• Environmental Engineering
• Process Design
• +۳ مورد دیگر

Assistant Professor Radojica Pešić is affiliated with the Department of Chemical Engineering at the Faculty of Technology and Metallurgy, University of Belgrade. With expertise in chemical engineering and environmental applications, his work focuses on reactor design, mass transfer, and sustainable process optimization. Research spans environmental remediation , process design , and transport phenomena Active in bubble column reactors , CO2 capture , and industrial water treatment Supervised 10+ final theses in chemical engineering processes and environmental systems Recent publications highlight trends in electrochemical pollutant degradation , fluidized bed thermal dynamics , and sustainable material design . His teaching involvement includes Chemical Engineering Laboratory and Process Design courses. Advised research on distillation process optimization (2021), industrial water quality (2020), and PINCH methodology for mass integration (2018) Key methodologies: linear mass balance models , absorption column design , and quality control systems Contact: rpesic@tmf.bg.ac.rs | Office 37, TMF Building | Phone: +381 11/3303611

Frédéric Gibouمشاهده پروفایل

استاد

• Computational Science and Engineering
• Solid Mechanics, Materials & Structures
• Fluid Dynamics, Thermal Sciences & Fluid Mechanics
• +۱۰ مورد دیگر

Frédéric Gibou is a Professor in the Department of Mechanical Engineering, Department of Computer Science, and Department of Mathematics at the University of California, Santa Barbara. He is also a core faculty member in the Computational Science and Engineering program. His academic journey began with a PhD in Applied Mathematics from UCLA, followed by post-doctoral research in the Departments of Mathematics and Computer Science at Stanford University. PhD in Applied Mathematics, UCLA Post-doctoral research, Stanford University (Mathematics and Computer Science) Professor Gibou's research sits at the interface between Applied Mathematics, Computer Science and Engineering Sciences, focusing on the design of high resolution computational methods for large scale computations. His work spans Computational Materials Science, Computational Fluid Dynamics, and Computational Image Analysis. The common thread across these applications is that they involve complex/free boundaries and similar classes of nonlinear partial differential equations. His group develops computational strategies on spatially adaptive grids for massively parallel environments, increasingly incorporating Machine Learning algorithms to solve forward and inverse problems. His research output shows a clear trend toward integrating traditional numerical methods with machine learning approaches, particularly for solving partial differential equations with complex interfaces. The publications reveal a strong focus on developing sharp interface methods, adaptive grid techniques, and novel computational paradigms that can handle multiscale phenomena across various scientific domains. Alfred P. Sloan Fellowship in Mathematics Regent's Junior Faculty Fellowship NSF Mathematical Sciences Postdoctoral Fellowship Robert Sorgenfrey Distinguished Teaching award Professor Gibou leads a multidisciplinary research group called Computational Applied Science Laboratory (CASL), which has strong collaborations with experimentalists at UCSB and worldwide. His group has received substantial funding from various agencies, enabling them to tackle challenging problems in computational science. CASL focuses on designing computational methods on Quad-/Oc-trees grids in the level-set formalism for solving previously intractable problems in science and engineering. The group's work spans Computational Materials Science (including nanostructured polymeric materials and high temperature multicomponent alloys), Computational Fluid Dynamics (including flow over superhydrophobic surfaces, flow in reactive porous media, and multiphase flows), and Computational Image Analysis (including image guided surgery and image segmentation).

Andrew Hrymakمشاهده پروفایل

استاد

• Polymer Processing
• Materials Engineering
• Computational Fluid Dynamics
• +۴ مورد دیگر

Professor Andrew Hrymak is a distinguished academic in the Department of Chemical and Biochemical Engineering at Western University, where he has been a faculty member since 2009. Prior to his appointment at Western, he served as Professor and Department Chair at McMaster University from 1985-2009. During his tenure at Western, he held the position of Dean of the Faculty of Engineering from July 1, 2009 to July 31, 2018. He currently serves as Deputy Director of the Fraunhofer Project Centre for Composites Research at Western and has held significant editorial roles including Editor of Computers and Chemical Engineering (2002-2010) and Editor-in-Chief of International Polymer Processing (2004-2016). His educational background includes: PhD in Chemical Engineering from Carnegie Mellon University (1985) B.Eng. in Chemical Engineering from McMaster University (1980) Professor Hrymak's research focuses on the modeling, design, and optimization of materials processing systems, with particular emphasis on composites processing, injection molding, compression molding, mixing liquid coating flows, and complex rheology. His work integrates computational methods with experimental approaches to address challenges in polymer processing operations. His research spans multiple scales, from microscopic fiber-matrix interactions to macroscopic process modeling. He has made significant contributions to understanding the behavior of complex fluids and multiphase systems, particularly in the context of polymer composites manufacturing. His work often combines computational fluid dynamics with experimental validation to develop predictive models for industrial applications. Professor Hrymak's extensive publication record demonstrates a consistent focus on advancing the science and engineering of polymer processing, with recent work incorporating machine learning approaches to model complex material behaviors. His research has practical applications in automotive, aerospace, and manufacturing industries where composite materials play a critical role. His scientific recognition includes: Fellow of the Canadian Academy of Engineering (2010) Fellow of the Chemical Institute of Canada (2005) Excellence in Process Development Research Award by the Process Development Division of the American Institute of Chemical Engineers (2005) As an academic advisor, Professor Hrymak has mentored numerous graduate students through their PhD and Master's research. His current research group includes students working on projects related to structural long-fiber thermoplastics for automotive applications, compression molding simulation, and dip coating processes. His research has been supported by various funding sources including NSERC, Greenfield Global Products, and the Chinese Scholarship Council. He has also served on important committees including the Fellowship Selection Committees of the Chemical Institute of Canada and the Canadian Academy of Engineering, and was past Chair of the Board of Directors of the Chemical Institute of Canada. Professor Hrymak is actively involved with the Fraunhofer Project Centre for Composites Research at Western, where he serves as Deputy Director. His research group collaborates with industry partners on various projects related to composite materials processing and characterization. He has also been instrumental in developing the virtual process chain concept for sheet molding compound composites, which integrates multiple simulation tools to predict final part properties based on processing conditions.

Vatsal Sanjayمشاهده پروفایل

استادیار

• Soft Matter Singularities
• Viscous Free-Surface Flows
• Non-Newtonian Fluids
• +۳ مورد دیگر

Dr. Vatsal Sanjay is an Assistant Professor at the Department of Physics , Durham University. He leads the Computational Multiphase Physics (CoMPhy) Lab, focusing on fundamental fluid dynamics research with applications in energy, manufacturing, and natural systems. Education: PhD in Physics (University of Twente, 2022) Research Areas: Soft Matter Singularities, Non-Newtonian Flows, Viscous Free-Surface Flows His work explores topological transitions in fluid systems through continuum simulations , collaborative experiments , and theoretical analysis , addressing phenomena like droplet impact , bubble bursting , and sheet fragmentation . Recent studies span microgravity fluid mechanics , viscoelastic jet formation , and mycofluidic transport in fungal networks. Articles reveal interdisciplinary trends combining fluid dynamics , materials science , and applied physics , with subfields spanning from Worthington jet dynamics to yield-stress fluid rupture . His Ammodo Science Fellowship enables research into fungal internal transport systems , bridging physics and biology. Supervision: Mentors PGR student Sam Walker Labs: Founder of CoMPhy Lab (moving to Durham in 2025) Open Science: Advocates code sharing and transparent research practices

Weimin Hanمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mechanics
• Variational Inequalities
• +۵ مورد دیگر

Weimin Han is a Professor and Collegiate Fellow in the Department of Mathematics at the University of Iowa. He holds additional appointments in the Applied Mathematical & Computational Sciences (AMCS) program and the Iowa Technology Institute. His research focuses on numerical analysis, computational mechanics, and variational/hemivariational inequalities, with applications in fluid and solid mechanics. Han earned his Ph.D. in Mathematics from the University of Maryland (1991), following M.S. (1986) and B.S. (1983) degrees from the Chinese Academy of Sciences and Fudan University, respectively. He has served as Chair of the Department of Mathematics (2020–2022) and Director of AMCS (2007–2019). His honors include Fellow of the American Mathematical Society (2023), Simons Fellow (2012), and recognition as a top scholar in Numerical Analysis by Research.com and ScholarGPS. He has organized conferences like the Midwest Numerical Analysis Day 2024 and serves on editorial boards of journals such as Communications in Nonlinear Science and Numerical Simulation . Han’s research has led to groundbreaking work on nonsmooth problems, including contact mechanics and fluid dynamics governed by variational inequalities. His numerical methods address challenges in engineering and biomedical imaging.