Adaptive Grid Refinement Professors and Supervisors

Matthias MaischakView profile

Professor

Brunel University LondonUnited Kingdom

Dr Matthias Maischak is a Reader in the Department of Mathematics at Brunel University London within the College of Engineering, Design and Physical Sciences . His research focuses on elliptic boundary value problems , transmission problems , Signorini problems , and variational inequalities , with emphasis on boundary and finite element methods , fast solvers , and adaptive algorithms . He is also a key developer of the MaiProgs software package, which implements advanced numerical techniques for engineering applications. Research Areas : Boundary Element/FEM Methods, Contact Mechanics, Adaptive Algorithms, High-Performance Computing, Retarded Potential Analysis Supervision : Ph.D. and MSc students in computational mathematics, including projects on shape analysis, discontinuous Galerkin methods, and boundary integral equations. Publications span topics like dual-dual formulations , FE-BE coupling , hp-adaptive methods , and error estimation in linear elasticity and acoustic fluid-structure interaction . He has co-authored works on nonlinear interface conditions and time-domain boundary element methods , with applications to microstructure analysis , elastoplastic contact , and singular perturbations .

Official University Profile

Cuneyt SertView profile

Professor

Middle East Technical UniversityTurkey

Prof. Cuneyt Sert is a faculty member in the Department of Mechanical Engineering at Middle East Technical University (METU), where he teaches courses such as Fluid Mechanics, Numerical Methods, and Computational Fluid Dynamics (CFD). His academic rank is Professor, reflecting his extensive contributions to research and education. He actively supervises graduate students, including PhD candidate Burcu Ramazanlı, whose work on abdominal aortic aneurysm hemodynamics led to a 2024 publication in the Journal of Thermal Science and Technology. Prof. Sert's research focuses on CFD, fluid dynamics, and biomedical applications. His studies on hemodynamics, turbulence, and material response in aerospace systems have produced influential papers since 2000. He is known for developing innovative numerical methods, such as adaptive discontinuous Galerkin techniques and CUDA-based parallel CFD solvers. His work bridges engineering education and industry, with projects on cryocooler optimization, metro aerodynamics, and grid fin aerodynamics. In teaching, Prof. Sert is praised for his student-centered approach, detailed lecture notes, and rigorous assignments. He emphasizes practical skills like MATLAB and C programming, though some students note concerns about workload and attendance policies. His courses, such as ME 310 (Numerical Methods) and ME 485 (CFD), are recognized for their rigor and real-world relevance. Prof. Sert’s contributions extend to interdisciplinary collaborations, including biomedical acoustics and material science. He has pioneered GPU-accelerated CFD tools and contributed to the design of microchannel heat exchangers. Despite no explicit awards listed, his peer reviews highlight his dedication to fostering critical thinking and problem-solving in students, earning him recognition as one of METU’s most respected educators.

Official University Profile

Gianmarco CherchiView profile

Assistant Professor

University of CagliariItaly

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.

Official University Profile

Emre KaraView profile

Assistant Professor

Gaziantep UniversityTurkey

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.

Official University Profile

Hadi HajibeygiView profile

Professor

Delft University of TechnologyNetherlands

Hadi Hajibeygi is a Professor of Geo-Energy Solid and Fluid Mechanics at Delft University of Technology, leading subsurface storage research and multiscale modeling initiatives. He serves as the Subsurface Storage Theme Lead (2016–present) and Energi Simulation Chair holder (2022–present), with a focus on underground hydrogen storage, CO2 sequestration, and geothermal energy systems. His research integrates multiphase flow in porous media , multiscale simulation , and geomechanical stability , supported by NWO-Vidi and Interpore awards. He leads the DARSim and ADMIRE projects, developing frameworks like Adaptive Dynamic Multiscale Integration and pEDFM-U for fractured reservoirs. Key awards include: Interpore Award for Porous Media Research (2021) NWO-Vidi Laureate (2019) Interpore Rosette (2017) ETH Zurich PhD Medal (2012) TU Delft Innovative Teaching Talent (2018) His teaching portfolio spans Dynamics of Solids and Fluids , Numerical Methods for Subsurface Simulation , and Multiscale Modeling , while advising a team of postdocs and PhD candidates on projects spanning induced seismicity, microbial interactions, and fractured reservoir mechanics.

Official University Profile

AHMET İHSAN KUTLARView profile

Professor

Gaziantep UniversityTurkey

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 .

Official University Profile

Ion ParaschivoiuView profile

Professor

Polytechnic School of MontrealCanada

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.

Official University Profile

Philipp GreteView profile

Researcher

University of HamburgGermany

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.

Official University Profile

Sofia ErikssonView profile

Associate Professor

Linnaeus UniversitySweden

Sofia Eriksson is an Associate Professor in the Department of Mathematics within the Faculty of Technology at Linnaeus University. She specializes in numerical analysis and scientific computing, with a primary focus on developing finite difference methods for solving time-dependent partial differential equations. Her research has significant applications in fluid dynamics and aerodynamics. Dr. Eriksson's research interests span numerical analysis, scientific computing, finite difference methods, partial differential equations, and computational mathematics. She leads or participates in two major research groups: Computational Mathematics for Predictive Digital Twins (PreDiTwin) and Scientific Computing and Partial Differential Equations. Her work emphasizes developing stable numerical methods with proper boundary and interface treatments. Her publication record shows consistent output since 2007, with 15 recent publications spanning journals like Journal of Computational Physics, SIAM Journal on Numerical Analysis, and Foundations of Computational Mathematics. Her research shows a clear progression from foundational work on finite difference methods to more specialized applications in fluid dynamics and aerodynamics. The publications demonstrate expertise in developing stable numerical schemes, particularly for time-dependent problems with complex boundary conditions. Dr. Eriksson teaches courses in Numerical Methods, Linear Algebra, and Calculus, contributing to both undergraduate and graduate education in mathematics and computational science. Her teaching reflects her research expertise, providing students with practical knowledge of numerical methods applicable to real-world scientific and engineering problems.

Official University Profile

Keith SpanglerView profile

Assistant Clinical Professor

Boston UniversityUnited States

Keith Spangler serves as Clinical Assistant Professor in Health Sciences Education at Boston University, leveraging interdisciplinary expertise to investigate climate-health relationships through spatial epidemiology. His research bridges geoscience data systems and public health analysis to address environmental health disparities. Education: PhD in Earth, Environmental, and Planetary Sciences, Brown University MS in Earth, Environmental and Planetary Sciences, Brown University MS in Epidemiology, Brown University Research focuses on spatial analysis of climate change health impacts , with emphasis on developing county-level heat metrics, open-source geospatial tools for social determinants assessment, and community-based hazard mapping. His methodology integrates big-data analytics from epidemiology and geoscience to model hospitalization risks and environmental exposures. Publication trends (2019-2023) reveal consistent output in environmental epidemiology journals, with growing emphasis on open-source methodological development and spatial resolution refinement . Recent work shifts from basic heat metric validation toward practical applications for community health planning and equity-focused interventions. As Clinical Assistant Professor, Dr. Spangler likely advises graduate students in health sciences programs. His active research portfolio—including community participatory projects and methodological innovations—indicates ongoing grant support for environmental health studies, though specific funding sources aren't detailed. Current work emphasizes translating geospatial research into public health practice through tools like the county-level heat metric dataset.

Official University Profile

Manuel BehrendtView profile

Research Fellow

Max Planck Institute for Extraterrestrial PhysicsGermany

Dr. Manuel Behrendt is a Research Fellow at the Ludwig-Maximilians-Universität München, where he serves as a staff scientist at the University Observatory in the CAST-group led by Prof. Andreas Burkert. He also holds a position with the Physics of Galactic Nuclei (PGN) group at the Max-Planck-Institute for Extraterrestrial Physics in Garching, Bavaria. His primary research focuses on the structure-formation and evolution of galactic discs in the early universe, utilizing high-resolution hydrodynamic simulations within the framework of gravitational disc instability. Dr. Behrendt's work addresses fundamental questions about: The formation and evolution mechanisms of giant clumps and small-scale structures in high-redshift galaxies The hierarchical organization of clumps, including whether observed kpc-scale clumps are composed of sub-clump clusters The role of stellar feedback in shaping galactic structure formation and kinematics The energetic sources driving high random motions observed in young galaxies A significant contribution to the field is his development of MERA.jl, a high-performance Julia package designed for analyzing large-scale astrophysical simulation data. This tool provides: Efficient numerical performance through Julia's JIT compilation Unified API for handling multi-resolution AMR grids and particle datasets Interactive development capabilities that scale from notebooks to production scripts Memory-conscious design for processing large datasets Multi-threaded I/O operations for improved performance Dr. Behrendt's publication record demonstrates a consistent research trajectory focused on galaxy formation processes, particularly examining clump structures in high-redshift galaxies. His work bridges theoretical astrophysics with practical computational methods, making important contributions both to our understanding of galaxy evolution and to the development of advanced analysis tools for the broader astrophysics community. As an educator, Dr. Behrendt actively supervises students, teaches tutorials and astrophysical laboratory courses, and serves as a substitute lecturer for Prof. Burkert's courses. His dual commitment to research excellence and educational mentorship highlights his comprehensive contribution to the academic community.

Official University Profile