جستجوی استاد راهنمای دانشگاهی

Gianmarco Cherchiمشاهده پروفایل

استادیار

• Computer Graphics
• Geometry Processing
• Surface Mesh Generation
• +۱۲ مورد دیگر

Gianmarco Cherchi is a Tenure-Track Assistant Professor and Computer Science Researcher in the Department of Mathematics and Computer Science at the University of Cagliari, Italy, where he also completed his PhD. He teaches courses in Data Visualization and Web Programming at the undergraduate level. His research lies at the intersection of Computer Graphics and Geometry Processing, with a strong focus on surface and volumetric mesh generation, optimization, digital fabrication, and polycube-based modeling. His work combines algorithmic innovation with practical applications in fabrication, visualization, and interactive systems. The recent publications highlight a consistent trend in advanced hexahedral meshing techniques (e.g., HexBox, VOLMAP), robust geometric computation (e.g., mesh booleans), and interactive tools (e.g., ProtoSketchAR, Py3DViewer). His research spans theoretical algorithm development, benchmark creation, and applied systems for VR/AR and simulation. His scientific accolades include the Young Investigator Award 2024 from the Shape Modeling International Organization, and prior Best Thesis Awards from the Eurographics Italy Association for both his M.Sc. and Ph.D. work. Cherchi actively collaborates with researchers such as Marco Livesu, Riccardo Scateni, and others, contributing to major surveys and state-of-the-art methods in hexahedral meshing. His work is supported by publications in top venues like ACM Transactions on Graphics (SIGGRAPH), Computer Graphics Forum (Eurographics), and IEEE VR. He has also developed practical software tools like Py3DViewer for geometry processing prototyping. He leads research in digital fabrication pipelines, as evidenced by publications on polycube decomposition for manufacturing and automated flat pattern generation. His lab work involves developing interactive and robust systems for 3D modeling and analysis.

Hendrik Ranochaمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +۶ مورد دیگر

Hendrik Ranocha is a Professor in Numerical Mathematics at Johannes Gutenberg University Mainz, Germany. His research focuses on the analysis and development of numerical methods for partial and ordinary differential equations, with particular emphasis on stability and structure-preserving techniques that transfer results from continuous to discrete levels. His educational background includes: PhD in Mathematics from TU Braunschweig (2016-2018), advised by Thomas Sonar MSc in Mathematics from TU Braunschweig (2014-2016) BSc in Mathematics from TU Braunschweig (2011-2014) Exchange student at Yonsei University, Seoul (2013) BSc in Physics from TU Braunschweig (2010-2013) Hendrik Ranocha's research spans Numerical Analysis and Scientific Computing . His work focuses on developing numerical schemes for hyperbolic balance laws and dispersive-dissipative equations, including Discontinuous Galerkin methods, spectral element methods, finite difference schemes, and flux reconstruction. He specializes in structure-preserving methods that conserve entropy/energy, utilizing summation by parts operators and mimetic properties. His research also encompasses Runge-Kutta methods, stability of time integration schemes, adaptivity in time and space, data-driven approaches, and uncertainty quantification. His recent publications demonstrate a strong focus on entropy-stable numerical methods, structure-preserving discretizations, and high-performance computing implementations in Julia. The research trends show increasing emphasis on practical software implementations (Trixi.jl, SummationByPartsOperators.jl), applications to physical systems like compressible Euler equations and shallow water equations, and addressing fundamental numerical challenges in stability and convergence. Hendrik Ranocha leads a research group at Johannes Gutenberg University Mainz with several PhD students and postdocs, including Louis Petri, Marco Artiano, Sebastian Bleecke, Saurav Samantaray, Arpit Babbar, and Valentin Churavy. He collaborates extensively with researchers such as Gregor Gassner, Andrew R. Winters, Michael Schlottke-Lakemper, and Jesse Chan on numerical methods and software development. He is actively involved in open-source scientific computing, contributing to projects like Trixi.jl (a Julia package for adaptive high-order numerical simulations of conservation laws), SummationByPartsOperators.jl, OrdinaryDiffEq.jl, NodePy, and RK-Opt. He is part of the SciML organization, which develops high-performance Julia libraries for scientific machine learning and computational science.

Emre Karaمشاهده پروفایل

استادیار

• Computational Fluid Dynamics (CFD)
• Synthetic Jet Actuators
• Coanda Effect
• +۵ مورد دیگر

Asst. Prof. Emre Kara is a faculty member at Gaziantep University Faculty of Aviation and Aeronautical Sciences , Department of Aeronautical and Aerospace Engineering. With a Ph.D. in Mechanical Engineering (2015), he specializes in Computational Fluid Dynamics (CFD) , Synthetic Jet Actuators , and Coanda Effect-based Thrust Vectoring Systems . His work bridges aerospace engineering and biomedical applications through microfluidic experimental setups for glaucoma drainage devices. Ph.D. & M.Sc. in Mechanical Engineering (Gaziantep University) B.Sc. in Mechanical Engineering (Middle East Technical University) Research focuses on active flow control for aerodynamic efficiency and CFD-driven biomedical device design . His 2025 parametric SJA study and 2023 Coanda optimization paper highlight his methodology. Recent projects include portable test rigs for EDF propulsion and glaucoma implant evaluation . 18 journal articles and 29 conference proceedings demonstrate technical depth. Recipient of TÜBİTAK Yayın Teşvik Ödülü (2024, 2022, 2011). Supervised M.Sc. theses on synthetic jet CFD , hydrogen recovery , and glaucoma device modeling . Courses taught span Aerodynamics , Viscous Flow , and Computational Fluid Dynamics at undergraduate and graduate levels.

Shravan Veerapaneniمشاهده پروفایل

استاد

• Scientific computing
• Fast algorithms
• Potential theory
• +۱۰ مورد دیگر

Shravan Veerapaneni is a Professor in the Department of Mathematics at the University of Michigan, within the College of Literature, Science, and the Arts. His research focuses on developing large-scale computational tools for solving differential and integral equations on complex moving geometries that arise in engineering and biophysics. His work spans multiple interdisciplinary areas connecting mathematics, computational science, and applied physics. Education: B.S. from Indian Institute of Technology (2003), Ph.D. from University of Pennsylvania (2008) Previous Position: Research Scientist at Courant Institute of Mathematical Sciences (NYU), 2008-2011 Teaching: Courses include Math 671, Math 371 (Numerical Methods for Engineers), and Math 156 (Applied Honors Calculus II) Professor Veerapaneni's research interests encompass scientific computing, fast algorithms, potential theory, complex fluids, microfluidics, soft-matter, and biomechanics. His core application areas include biomembrane mechanics, blood flow modeling, cilia-driven flows, and microfluidic-chip design. More recently, he has expanded his research to include scalable solvers and machine learning techniques for autonomous vehicle mobility in off-road settings. His work demonstrates a strong emphasis on developing high-order accurate numerical methods with practical applications in biomedical engineering and fluid dynamics. His publications reveal a consistent focus on boundary integral methods, Stokes flow simulations, and optimization problems in complex geometries. The research shows progression from fundamental mathematical methods to increasingly complex applications in biophysics and engineering. His work on vesicle dynamics, microswimmers, and particulate suspensions demonstrates expertise in computational fluid dynamics at microscales. NSF CAREER Award (2015) for project 'Fast Algorithms for Particulate Flows' Professor Veerapaneni has developed computational frameworks for simulating complex fluid-structure interactions, with applications ranging from biological systems (vesicles, cilia) to engineering problems (microfluidic chips, autonomous vehicles). His group has produced significant software contributions including visualization tools for fluid dynamics simulations, as evidenced by the animations of vesicle flows on his website. His collaborative work spans mathematics, engineering, and computer science departments, reflecting the interdisciplinary nature of his research.

• Wave Energy Converters
• Marine Technology
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Claes Eskilsson is a researcher at Chalmers University of Technology , specifically in the Department of Mechanics and Maritime Sciences under the Marine Technology division. His work focuses on computational fluid dynamics (CFD) , wave energy converters , and mooring system dynamics for marine applications. Research Projects: MIDWEST: Multi-fidelity decision tools for wave energy systems (2015-2018) Assessment of tidal turbine noise pollution (2015-2016) Including nonlinear/viscous effects in wave energy modeling (2015-2017) Forankringslösninger for wave energy devices (2015-2017) SDWED: Structural design of wave energy devices (2013-2014) His research interests include: Computational modeling of marine systems Wave energy converter hydrodynamics High-order numerical methods (spectral/hp elements, Discontinuous Galerkin) Cavitation and erosion analysis in marine flows Multiphysics modeling of floating structures The publications span topics in wave energy converter dynamics, mooring system analysis, and CFD methodology. Key trends include 2013-2015 developments in spectral/hp element methods for coastal engineering, and 2015-2020 advancements in multi-fidelity modeling of ocean energy systems. He has collaborated extensively with institutions such as Royal Institute of Technology (KTH) , Lund University , and Technical University of Denmark (DTU) , with funding from agencies including the Swedish Energy Agency and Danish Energy Agency .

Hui-Chia Yuمشاهده پروفایل

دانشیار

• Electrochemical Engineering
• Computational Modeling
• Materials Science
• +۳ مورد دیگر

Hui-Chia Yu is an Associate Professor in the Department of Computational Mathematics, Science and Engineering at Michigan State University. Their research focuses on computational modeling of electrochemical systems, particularly battery electrodes, using advanced numerical methods like the smoothed boundary method and phase-field simulations. Recent work involves simulating electrode microstructures to analyze electrochemical impedance, phase transformations, and transport dynamics. Applications include optimizing battery performance and understanding wetting behavior in ceramic-metal interfaces. Scientific awards: None listed. Contact: hcy@msu.edu

Griffith Boyceمشاهده پروفایل

استاد

• Computational mathematics
• Applied mathematics
• Cardiovascular physiology
• +۴ مورد دیگر

Griffith Boyce is a Professor of Mathematics and Biomedical Engineering at the University of North Carolina at Chapel Hill (UNC), with an adjunct appointment in Applied Physical Sciences. He serves as Associate Chair for Research in the Department of Mathematics and leads the Cardiovascular Modeling and Simulation Laboratory. His affiliations include the Carolina Center for Interdisciplinary Applied Mathematics, Computational Medicine Program, and McAllister Heart Institute at UNC School of Medicine. Dr. Griffith earned his BA and BS in Mathematics from Rice University (2000), followed by a PhD in Mathematics from New York University (2005). He completed postdoctoral training at NYU (2005-2008) before joining NYU as faculty (2008-2014), then UNC in 2014. His research focuses on developing computational tools to predict cardiovascular physiology and pathology through fluid-structure interaction (FSI) modeling. Key applications include cardiac hemodynamics, bioprosthetic heart valves, ventricular assist devices, and thrombosis in atrial fibrillation. His group advances the immersed boundary (IB) method and maintains the IBAMR software infrastructure for adaptive mesh refinement in FSI problems. Recent publications highlight innovations in divergence-free numerical methods, viscoelastic flow modeling, and patient-specific cardiovascular simulations. His team's work spans from fundamental FSI algorithms to clinical translation in medical device design. Dr. Griffith collaborates with clinicians, engineers, and computational scientists across academia, industry, and regulatory agencies. His lab includes PhD alumni like Marshall Davey, Charles Puelz, Aaron Barrett, and Cole Gruninger, alongside current researchers. The Cardiovascular Modeling and Simulation Laboratory develops open-source software and interdisciplinary frameworks for predictive biomedical simulations. Their research integrates mathematical modeling, high-performance computing, and experimental validation to address cardiovascular disease mechanisms and therapy optimization.

AHMET İHSAN KUTLARمشاهده پروفایل

استاد

• Mechanical Engineering
• Fluid Mechanics
• Aerodynamics
• +۵ مورد دیگر

Professor Ahmet İhsan Kutlar is a distinguished academic in the Department of Mechanical Engineering at Gaziantep University's Faculty of Engineering, Turkey, with a career spanning over 30 years. His expertise lies in Fluid Mechanics, Aerodynamics, Thermodynamics , and Computational Fluid Dynamics (CFD) , alongside significant contributions to biomedical engineering through glaucoma drainage device research. Academic Roles: Professor (2018–present), Associate Professor (2012–2018), Assistant Professor (1993–2012), Research Assistant (1987–1993). Education: Doctorate in Mechanical Engineering (Thermofluids) from the University of Liverpool (1993), Master's and Bachelor's from Middle East Technical University. Kutlar's research integrates CFD simulations with experimental work, focusing on compressible flows, multiphase systems, and biomedical applications. His projects include glaucoma valve analysis and renewable energy thermodynamic studies. The 15 most recent articles highlight his work in Biomedical Engineering (e.g., glaucoma device testing), Computational Fluid Dynamics (adaptive solvers), and Thermodynamic Systems (power plants, energy recovery). These publications reflect a multidisciplinary approach combining theoretical and experimental methods. Kutlar has led and participated in TÜBİTAK and TEKMER projects, and contributed to academic leadership as Vice Dean and Faculty Board Member. He has supervised numerous PhD and Master's theses, emphasizing innovative engineering education and applied research .

Nicholas Morseمشاهده پروفایل

پژوهشگر ارشد

• Fluid dynamics
• Turbulence
• High performance computing
• +۷ مورد دیگر

Nicholas Morse is a Postdoctoral Researcher in the Engineering Mechanics Department at KTH Royal Institute of Technology in Stockholm, Sweden. He joined KTH in May 2025 and is supervised by Professors Philipp Schlatter (FAU Erlangen, KTH), Ramis Örlü (OsloMet, KTH), and Mihai Mihaescu (KTH). Dr. Morse earned his PhD in Aerospace Engineering & Mechanics from the University of Minnesota in 2023 under Professor Krishnan Mahesh. Prior to KTH, he served as a Senior Scientist at the Research Center Pharmaceutical Engineering in Graz, Austria (2023-2025), where he led simulation strategy for an EU Horizon 2020 project and developed computational methods for droplet breakup analysis. Nicholas Morse's research centers on: Curvature and rotational effects on turbulent flows Turbulent boundary layers on curved surfaces and spinning cones Eccentric Taylor-Couette-Poiseuille flow transition High-fidelity simulation of complex turbulent flows using DNS and LES His technical expertise spans: High-performance computing infrastructure Direct numerical and large-eddy simulation methodologies Adaptive mesh refinement algorithms Heterogeneous (GPU) computing implementations Multiphase flow modeling Academic recognition includes: John A. & Jane Dunning Copper Fellowship for Aerospace Engineering & Mechanics (2019) Donald & Shirley Gorence Scholarship (2018) Robert H. & Marjorie F. Jewitt Fund Scholarship (2017) Dr. Morse has extensive experience in computational fluid dynamics, having conducted large-scale simulations (>10,000 processors) at the University of Minnesota and developed the Multi-Element Wing Generator MATLAB application for Formula SAE aerodynamics design. His work bridges theoretical fluid mechanics with practical engineering applications across aerospace and pharmaceutical domains.

Frans Pretoriusمشاهده پروفایل

استاد

• Computational physics
• General relativity
• Numerical relativity
• +۴ مورد دیگر

Frans Pretorius is a South African-Canadian physicist specializing in computational physics and numerical relativity. He currently serves as a professor at Princeton University and directs the Princeton Gravity Initiative , focusing on gravitational wave simulations and black hole dynamics. Education : B.Sc. in Computer Engineering (University of Victoria, 1996) M.Sc. in Physics (University of Victoria, 1999) Ph.D. in Physics (University of British Columbia, 2002) His research centers on numerical simulations of gravitational collapse, black hole mergers, and high-energy collisions, contributing foundational work to gravitational wave detection. He has developed adaptive mesh refinement algorithms for solving coupled elliptic-hyperbolic systems in general relativity. His publications focus on black hole formation in particle accelerators, evaporation of 2D black holes, and high-energy black hole collisions, with keywords spanning numerical relativity, gravitational radiation, and quantum gravity effects. Scientific Awards : Sloan Fellowship (2010) Aneesur Rahman Prize for Computational Physics (2010) Breakthrough Prize in Fundamental Physics (2016) New Horizons in Physics Prize (2017) Dirac Medal of the ICTP (2021) Galileo Galilei Medal (2021) He has held positions at the California Institute of Technology (Tolman Fellow, 2002–2005), University of Alberta (Assistant Professor, 2005), and Princeton University (Assistant Professor, 2007). His work bridges computational methods with fundamental physics.

C. S. Upadhyayمشاهده پروفایل

استاد

• Solid Mechanics
• Adaptive Finite Element Methods
• Structural Optimization
• +۳ مورد دیگر

C. S. Upadhyay serves as a Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur. His academic career spans multiple institutions with a strong foundation in aerospace engineering and computational mechanics. Dr. Upadhyay completed his B.Tech in Aerospace Engineering from IIT Kharagpur in 1991, followed by advanced studies at Texas A&M University where he earned his M.S. in 1993 and PhD in 1997. His educational background provides a solid foundation for his research in computational structural mechanics. His research focuses on Solid Mechanics, Adaptive Finite Element Methods, and Structural Optimization . He has developed sophisticated computational models for analyzing composite materials, particularly unidirectional composites, with emphasis on material degradation and damage modeling. His work bridges theoretical mechanics with practical engineering applications, creating advanced numerical methods for structural analysis. Dr. Upadhyay's research has significant implications for aerospace design, where lightweight composite structures require precise modeling of failure mechanisms. Analysis of his recent publications reveals a clear research trajectory focused on micromechanical modeling of composite materials and adaptive computational techniques. His work progresses from fundamental material characterization to practical structural analysis methods, with consistent contributions to understanding damage mechanisms in composite laminates. The research demonstrates strong theoretical foundations combined with practical numerical implementations that advance the field of computational solid mechanics.

Gonzalo Rubio Calzadoمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• High-Order Numerical Methods
• Discontinuous Galerkin Methods
• +۴ مورد دیگر

Dr. Gonzalo Rubio Calzado is a Associate Professor at the Department of Applied Mathematics to Aerospace Engineering , part of the Universidad Politécnica de Madrid (UPM) . He is affiliated with the Research Group: Numerical Methods and Applications to Aerospace Technology and the Center for Research in Computational Simulation (CCS) at UPM. Bachelor's in Aeronautic Engineering (UPM, 2009) Master's in Aerospace Engineering (UPM, 2011) PhD in Aerospace Engineering (UPM, 2015) His research spans fluid dynamics, high-order numerical methods, and machine learning applications in CFD, with over 50 publications and an h-index of 15 (last 5 years). He focuses on: Discontinuous Galerkin (DG) methods Error estimation and hp-adaptation Turbulence modeling and LES Machine learning for flow simulations Multiphase flow analysis Industrial applications (aeronautics, energy systems) Recent publications emphasize machine learning integration with high-order DG solvers, turbulence modeling, and optimization techniques. His work includes collaborations with companies like REPSOL and AIRBUS, as well as national and European projects (SIMOPAIR, DeepCFD, HERFUSE, ROSAS). Scientific awards include the Extraordinary PhD Award (2015). He is the lead developer of the open-source HORSES3D high-order CFD project and contributes to energy measurement patents for building efficiency.

Ali Karakusمشاهده پروفایل

دانشیار

• Computational fluid dynamics
• High-level continuous and discontinuous finite elements
• Multiphase flow
• +۵ مورد دیگر

Ali Karakus is an Associate Professor at Middle East Technical University (METU) and Deputy Head of Department. He obtained his Bachelor's degree (2005), Master's degree (2009), and PhD (2015) from METU. His research focuses on computational fluid dynamics, high-order numerical algorithms, and GPU-accelerated solvers for multiphysics problems. Specializes in high-performance scientific computing and finite element methods. Develops GPU-optimized solvers for compressible/incompressible flows, level-set reinitialization, and physics-informed neural networks. The Accelerated Multiphysics (AMiP) research group, led by Dr. Karakus, emphasizes discontinuous Galerkin approaches, adaptive mesh refinement , and Jacobian-free Newton-Krylov methods . His recent work integrates data-driven modeling with traditional fluid dynamics solvers. Notable scientific achievements include: 2024 Lecturer of the Year award from METU Parlar Foundation Collaborative publications on NekRS , a GPU-accelerated Navier-Stokes solver Selected as a groundbreaking paper in Parallel Computing journal Dr. Karakus has supervised multiple M.Sc. theses on topics including: High-order Boltzmann solutions for low Mach aerodynamics Physics-informed neural networks in CFD GPU-accelerated level-set reinitialization His publications demonstrate expertise in GPU parallelization , mesh deformation , and weakly compressible flow modeling .

Ion Paraschivoiuمشاهده پروفایل

استاد

• Aerospace Engineering
• Wind Energy Systems
• Aircraft Icing
• +۵ مورد دیگر

Ion Paraschivoiu is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal, with a distinguished career spanning several decades in aerospace engineering and renewable energy research. His academic journey began at the Polytechnic University of Bucharest where he earned his B.Sc.A., M.Eng., and Ph.D., and has flourished at Polytechnique Montréal where he has established himself as a leading researcher in his fields. Professor Paraschivoiu's research interests focus on aircraft aerodynamics, particularly aircraft icing phenomena, dynamic stall characteristics, and wind energy systems with emphasis on vertical axis wind turbines (Darrieus type). His work bridges theoretical analysis, computational fluid dynamics, and practical applications in both aviation safety and sustainable energy production. His research has significant implications for improving aircraft safety in icing conditions and optimizing wind turbine performance for renewable energy generation. His publication record demonstrates consistent scholarly productivity with 124 documented publications including journal articles, conference papers, and book chapters. His recent work (including a 2025 publication) continues to advance knowledge in wind turbine ice dynamics and aerodynamic modeling. Professor Paraschivoiu has supervised 24 graduate students (3 doctoral and 21 master's), mentoring the next generation of engineers in aerospace and mechanical disciplines. 2005 - Doctorat honoris causa - Université Constantin Brâncuși 2002 - Doctor honoris causa - Université d'Oradea 1999 - Prix de la ministre de l'Éducation, du Loisir et du Sport - Gouvernement du Québec 1997 - Doctorat honoris causa - Université Polytechnique de Bucarest Professor Paraschivoiu's research has been consistently supported through grants that have enabled his work on aircraft icing simulation, wind turbine aerodynamics, and heat transfer applications. His collaborations with researchers like Frédérick Gosselin (as noted in a 2023 press review in La Presse) demonstrate ongoing engagement with contemporary challenges in wind energy technology. His educational materials have been recognized by the Quebec government for their quality and contribution to French-language engineering education.

Philipp Greteمشاهده پروفایل

پژوهشگر

• Computational Astrophysics
• Magnetohydrodynamic Turbulence
• High Performance Computing
• +۴ مورد دیگر

Dr. Philipp Grete is a postdoctoral research associate at the Hamburg Observatory (University of Hamburg), previously holding a Marie Skłodowska-Curie Fellowship at the same institution and a postdoctoral position at the Department of Physics & Astronomy, Michigan State University . His interdisciplinary research bridges astrophysics and computational methods , focusing on: Magnetohydrodynamic turbulence in astrophysical systems Performance-portable exascale simulation frameworks (Parthenon, AthenaPK) Cosmic ray transport mechanisms Anisotropic transport processes in weakly collisional plasmas Supercomputer-driven AGN feedback analysis He leads the XMAGNET project using DOE INCITE allocations on exascale systems and recently secured DFG funding for three years. His work has been recognized with the Postdoctoral Excellence in Research Award (MSU), SC23 Best Paper nomination, and CUG23 Best Paper Runner-up award.