جست‌وجوی استاد و پژوهشگر

Martin Rumpfمشاهده پروفایل

استاد

• Numerical Analysis
• Partial Differential Equations
• Computer Vision
• +۳ مورد دیگر

Prof. Martin Rumpf is a leading academic at the University of Bonn's Institute for Numerical Simulation, specializing in numerical methods for partial differential equations, image/surface processing, and scientific visualization. His work bridges mathematics, computer science, and engineering, with applications in materials science, biomedical imaging, and computer graphics. Research focuses on developing and analyzing numerical algorithms for PDEs, optimal transport, shape optimization, and geometric calculus. Key contributions include discrete geodesic calculus, elastic shape correspondence, and multiresolutional visualization techniques. His group's projects often involve collaborations with industries and medical institutions. Notable achievements include the 'Best Paper Award' at SIGGRAPH 2024 for research on Willmore flow and neural networks. His research also extends to biomedical applications, such as kidney microstructure analysis using fast-marching algorithms. Teaching includes graduate seminars on optimal transport and numerical methods (e.g., 'Analysis and Computation of Optimal Transport', 'Einführung in die Numerische Mathematik').

Kuhar Andrijanaمشاهده پروفایل

مدرس

• Electromagnetics
• Numerical Methods
• Biomedical Engineering
• +۲ مورد دیگر

Kuhar Andrijana is a Lecturer at the Institute of Electronics within the Faculty of Electrical Engineering and Information Technologies (FEIT) at Ss. Cyril and Methodius University in Skopje. She holds a BSc (2006), MSc (2010), and PhD (2018), all from FEIT. Her academic work focuses on applied electromagnetics and computational methods, with affiliations to research in electromagnetic field exposure and grounding systems. Her research interests span: Electromagnetics : Human exposure modeling near transmission lines and wireless networks. Numerical Methods : Finite Element Method (FEM), Method of Moments (MoM), and circuit-based simulations. Biomedical Engineering : ECG signal processing and cortical activity analysis. Electrical Safety : Grounding systems optimization and EMF impact assessment. Her recent publications (2017–2023) demonstrate a consistent focus on: Modeling electromagnetic exposure risks from infrastructure (e.g., transmission lines, 5G networks). Advancing numerical techniques for electrostatic and grounding problems. Exploring biomedical applications like ECG noise handling and neural signal representation. No scientific awards or student advisories are documented in available sources. She is affiliated with the Institute of Electronics' research initiatives but no specific labs or teams are detailed.

• Artificial Intelligence
• Machine Learning
• Adversarial Machine Learning
• +۳ مورد دیگر

Oliver Sutton is a researcher specializing in artificial intelligence, machine learning, and computational methods. His work focuses on adversarial attacks, robustness of AI systems, high-dimensional data analysis, and finite element methods for solving complex equations. He collaborates with experts in mathematics and computer science to address challenges in AI reliability and model security, including stealth edits in large language models and feature space optimization. Sutton's recent contributions include developing frameworks to handle AI errors with theoretical guarantees and improving numerical methods for transport equations. Research interests include adversarial machine learning, neuromorphic computing, and mathematical foundations of few-shot learning. His publications span topics from theoretical guarantees in AI to practical implementations of discontinuous Galerkin methods. Sutton's work highlights interdisciplinary approaches to advancing both theoretical understanding and applied solutions in computational science and AI security.

• Geotechnical Engineering
• Rock Mechanics
• Soil Mechanics
• +۳ مورد دیگر

Dr Yilin Gui is a Senior Lecturer in Geotechnical Engineering at the School of Civil & Environmental Engineering, Queensland University of Technology (QUT), since 2019. Previously, he held positions as Lecturer at Newcastle University (UK) and Research Fellow at Nanyang Technological University and Monash University. He earned his PhD from the University of New South Wales (UNSW) and a Postgraduate Certificate in Academic Practice from Newcastle University, UK. As a Senior Fellow of the Higher Education Academy, he emphasizes innovative teaching and research in geomechanics. His research focuses on rock and soil mechanics, computational modeling of geomaterials, geoenvironmental engineering, and mining engineering. Key areas include expansive soils, thermal effects on geotechnical materials, and machine learning applications in pavement stability and blast prediction. He actively supervises PhD candidates and offers scholarships. Dr Gui holds editorial roles in the Journal of Rock Mechanics and Geotechnical Engineering. He is a member of leading professional bodies, including the Australian Geomechanics Society, International Society for Soil Mechanics, and UK Carbon Capture and Storage Research Centre. His work bridges computational methods with practical geotechnical challenges, contributing to sustainable infrastructure and environmental resilience.

• Clean energy catalysis
• Electrolysis
• Chemical Engineering
• +۷ مورد دیگر

A/Pr Lei Ge is an Associate Professor in the School of Engineering at the University of Southern Queensland, affiliated with the Centre for Future Materials. He holds a PhD in Chemical Engineering from Queensland University and specializes in clean energy catalysis, electrolysis, and porous materials for unconventional energy applications. His research focuses on advancing materials for CO2 reduction, solid oxide fuel cells, and gas-diffusion electrodes, with an emphasis on energy efficiency and sustainability. Research expertise includes catalytic materials for energy conversion (e.g., perovskite oxides, MXenes), gas separation technologies using metal-organic frameworks (MOFs), and electrochemical processes for CO2 utilization. He has pioneered studies on microtubular electrodes and hollow fiber configurations to enhance reaction kinetics and selectivity in electrochemical systems. Recent publications highlight innovations in catalyst design for ammonia-based fuel cells, defect-minimized MOF membranes, and CO2 electrolysis mechanisms. His work bridges fundamental material science with practical applications in renewable energy and environmental engineering. No scientific awards are explicitly listed, but his extensive publication record reflects impactful contributions to electrochemical engineering and sustainable materials. Supervision and grant details are pending further data. Labs/Teams: Active member of the Centre for Future Materials, collaborating on advanced material synthesis and energy systems.

• Partial Differential Equations
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

Théophile Chaumont-Frelet is a junior researcher at Inria , working with project-team Rapsodi . Previously, he held post-doctoral positions at the Basque Center for Applied Mathematics (BCAM, Bilbao) and CERMICS (École des Ponts ParisTech). His research focuses on partial differential equations , numerical analysis , high-performance computing , and applications in wave propagation , electromagnetism , and geophysics . Education : Engineer in Mathematical Engineering from INSA Rouen (2012), Master in Fundamental and Applied Mathematics (Grade A+, 2012). His work addresses high-frequency Helmholtz and Maxwell equations in heterogeneous media, with emphasis on finite element methods , discontinuous Galerkin techniques , and multiscale modeling . Recent publications analyze frequency-explicit error bounds , polynomial-degree robustness , and stable local reconstructions . He has received the C3I label from GENCI (2017) for computational expertise. Notable collaborations include projects with Total, INRIA, and the Spanish Ministry of Economy (MTM2016-76329-R). Current PhD students and postdocs include Sumit Mahajan and Florentin Proust, while former advisees are Zakaria Kassali, Josselin Defrance, and Patrick Vega. His research grants involve M2NUM (Normandy/FEDER), DIP (INRIA MAGIQUE3D/Total), and the Spanish Ministry project MTM2016-76329-R.

LAMBERT Zoéمشاهده پروفایل

دانشیار

• Signal and image processing
• Medical imaging
• Deep learning
• +۷ مورد دیگر

Zoé Lambert is an Associate Professor at the University of Rouen Normandy and a member of the LITIS laboratory. She completed her PhD in Applied Mathematics (2019–2022) at INSA Rouen Normandie, funded by the Normandy Region, with a thesis on hybrid variational and deep learning approaches for medical image segmentation. Prior to her PhD, she worked as a Research Engineer at INSA Rouen (2018–2019) on weakly supervised learning for medical imaging and as a Data Scientist Intern at AID in Paris (2018). Her current research focuses on integrating geometric and topological constraints into deep learning models for medical imaging and coastal cliff crack detection. Research Interests Zoé develops advanced image segmentation methods combining variational models and deep learning, with emphasis on: Topological prescriptions in CNNs Geometric constraints for anatomical accuracy Registration techniques via nonlinear elasticity Public dataset creation for crack segmentation Directional total variation decomposition models AI applications in energy transition (Prioreno tool) Scientific Contributions She co-organized the SegTHOR challenge at IEEE ISBI’19, which automated segmentation of thoracic organs-at-risk for radiotherapy. Her work on weighted total variation regularization and Mumford-Shah terms has improved segmentation reliability in scenarios with limited data. She also contributed to the DEPHY3GEO project at CEREMA (2023–2024), focusing on cliff crack detection using thermal infrared imagery. Honors and Collaborations Zoé won first place in the Normandy Datathon (2023) for her energy vulnerability decision support tool. She served on INSA Rouen’s Scientific Council (2020–2022) and laboratory council (LMI). Her collaborations span LITIS, LMI, CEREMA, INRIA, and international institutions like INSA Lyon and the University of Bordeaux.

• Numerical Analysis
• Partial Differential Equations
• Scientific Computing
• +۳ مورد دیگر

Aurélien Citrain is a researcher at INRIA's MAGIQUE 3D project, specializing in numerical analysis and scientific computing for elasto-acoustic problems. He earned his PhD in 2019 with a thesis on hybrid finite element methods for seismic wave simulation, advised by Hélène Barucq and Christian Gout. His work bridges computational mathematics and applied engineering. PhD defense: December 16, 2019 Advisors: Christian Gout (INSA Rouen), Hélène Barucq (INRIA) Project: Member of M2NUM (ERDF/Normandie Regional Council funding) Research focuses on: Developing hybrid numerical schemes combining Discontinuous Galerkin and Spectral Element methods Modeling seismic wave propagation and elasto-acoustic coupling Multi-scale simulations for engineering applications His publications highlight expertise in computational mechanics and geophysical simulations. He collaborates with institutions like INSA Rouen and BCAM Bilbao, with prior internships at INRIA Magique 3D and BCAM.

Francis Aznaranمشاهده پروفایل

پژوهشگر ارشد

• Finite Element Methods
• Computational Mathematics
• Fluid Dynamics
• +۶ مورد دیگر

Francis Aznaran is a Society of Science Research Fellow in Applied and Computational Mathematics at the University of Notre Dame. He holds a DPhil (PhD) in Numerical Analysis from the University of Oxford (2018–2022), an MASt in Applied Mathematics from the University of Cambridge (2017–2018), and a BSc in Mathematics from the University of Warwick (2014–2017). His research focuses on finite element methods for elasticity, fluids, and thermodynamics, with emphasis on discretization techniques, Piola transformations, and fluid-structure interaction problems. Key research interests include: Elasticity complexes and stress-strain discretization Multicomponent fluid flow simulations Finite element software development (e.g., Firedrake) Awards: 1st Prize in Postdoc Lightning Talk Competition (2024) EPSRC/MathWorks Scholarship (2018–2022) He teaches ACMS/MATH 40390 Numerical Analysis at Notre Dame and has organized international conferences such as the 2025 Biennial Numerical Analysis Conference. His work bridges theoretical numerical analysis with practical software implementation.

Ziyao Xuمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Finite Element Methods
• Finite Difference Methods
• +۳ مورد دیگر

Ziyao Xu is a Robert and Sara Lumpkins Postdoctoral Research Associate in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame. In Fall 2025, he will join Binghamton University as a tenure-track Assistant Professor in the Department of Mathematics and Statistics. His research focuses on computational methods for fluid flow in porous media, including finite element and finite difference methods, discontinuous Galerkin (DG) techniques, and fracture modeling. He holds a Ph.D. in Applied Mathematics from Brown University (2023), an M.S. in Mathematical Sciences from Michigan Technological University (2019), and a B.E. in Petroleum Engineering from China University of Petroleum (2016). Xu's work emphasizes high-order numerical methods for solving complex fluid dynamics problems, with applications in geosciences and reservoir simulation. His publications explore topics such as well-balanced DG schemes, exponential time differencing methods, and hybrid-dimensional fracture modeling. He has presented at conferences including SIAM Annual Meetings, NAHOMCon, and SPE Reservoir Simulation Conferences. Teaching experience includes courses on probability, nonlinear dynamical systems, and applied linear algebra at the University of Notre Dame and Brown University. His current research aims to develop efficient and accurate numerical tools for simulating multiphase flow in fractured porous media.

• Metamaterials
• Magnetoinductive Waves
• Magnetism
• +۴ مورد دیگر

Dr. Anya Radkovskaya is a Postdoctoral Research Assistant at the University of Oxford, affiliated with the College of Engineering Science. Previously, she served as an Associate Professor in the Faculty of Physics at Lomonosov Moscow State University (MSU). Her research focuses on metamaterials, magnetoinductive waves, and their applications, with a career spanning over 25 years. She has contributed over 120 publications and holds an h-index of 14. Education: Specialist Diploma in Physics (with highest honours) from MSU (1990), PhD in Physics (1994). Research interests include metamaterials with strong inter-element coupling, magnetoinductive wave applications, magnetism of low-dimensional systems, and antennas. She has pioneered work on MI waves and collaborated internationally, including with the Royal Society and Metaboards Ltd, an Oxford spinout company. Publications highlight contributions to metamaterial theory and experimentation, with notable work on superdirectivity and coupled meta-atoms. Her research bridges theoretical and experimental domains, influencing fields from RF engineering to nanomaterials.

Ilya Kachkovskiyمشاهده پروفایل

دانشیار

• Mathematical Physics
• Spectral Theory
• Quantum Mechanics
• +۳ مورد دیگر

Ilya Kachkovskiy is an Associate Professor in the Department of Mathematics at Michigan State University (MSU), located in Wells Hall. His research focuses on mathematical physics, spectral theory, and operator theory, with particular emphasis on quasiperiodic systems, Schrödinger operators, and their spectral properties. He explores topics such as ballistic transport, localization phenomena, and the interplay between periodicity and boundary conditions in quantum systems. His work spans theoretical analysis of transport properties, spectral continuity, and mathematical structures in C*-algebras. Key contributions include studies on absolute continuity of spectra in periodic systems, localization in quasiperiodic operators, and the behavior of interacting particles in such environments. He has also investigated the mathematical foundations of almost commuting operators and distance estimates in functional analysis. Dr. Kachkovskiy’s research demonstrates a deep engagement with both the abstract frameworks of operator theory and their applications to physical systems, particularly in understanding complex quantum dynamics and spectral behavior in structured environments.

Matthew R. Begleyمشاهده پروفایل

استاد

• Materials Science
• Mechanical Engineering
• Additive Manufacturing
• +۷ مورد دیگر

Matthew R. Begley is a Professor in both the Department of Mechanical Engineering and Materials Department at the University of California, Santa Barbara (UCSB), within the College of Engineering. His research focuses on simulating materials with evolving microstructure and damage, including thermal barrier coatings (TBCs), environmental barrier coatings (EBCs), and ceramic matrix composites (CMCs). He pioneers field-assisted materials assembly and 3D printing of colloids and composites, alongside developing lattice materials via additive manufacturing for applications like viscoelastic elastomers and bone implants. Education: Ph.D. in Mechanical Engineering from UCSB. Awards: Fraunhofer-Bessel Award from the Humboldt Foundation. His research group includes students Virginia Collier, Connie Dong, Drew Melchert, Sara Messina, Stephen Sehr, and Eric Clough. Research themes span explicit discrete element simulations, bio-inspired hierarchical materials, and acoustic particle assembly. He leads projects on processing-structure-property relationships in architected materials and unsteady flow interactions with solid-fluid systems.

• Quantum Technology
• Superconductivity
• Finite Element Methods
• +۳ مورد دیگر

Valtteri Lahtinen is a Research Fellow at the Department of Applied Physics, Centre of Excellence in Quantum Technology (QTF), and Quantum Computing and Devices group at Tampere University of Technology. He holds a Doctoral degree in Engineering and Technology from Tampere University of Technology (2014). His research focuses on quantum technology, superconductivity, and computational methods. Key areas include superconducting materials modeling, finite element methods, photon dynamics, and image processing. Recent work explores microwave responses in superconductors and robust image stitching algorithms. Lahtinen has contributed over 30 peer-reviewed publications since 2012, with notable contributions in Scientific Reports , Superconductor Science and Technology , and Physical Review Research . His articles address interdisciplinary topics spanning quantum systems, computational physics, and applied engineering. He collaborates internationally and has contributed datasets to platforms like Zenodo. His research bridges theoretical frameworks (e.g., category theory) with practical applications in quantum devices and material science.

Michael Carrمشاهده پروفایل

مدرس

• Mechanical Engineering
• Bulk Materials Handling
• Belt Conveying
• +۵ مورد دیگر

Dr. Michael Carr is a Lecturer in Mechanical Engineering at the University of Newcastle's School of Engineering. He holds a PhD and Bachelor of Engineering (Mechanical) from the same institution. His research focuses on bulk materials handling, conveyor systems, and discrete element modelling. He is affiliated with TUNRA Bulk Solids and the Centre for Bulk Solids and Particulate Technologies (CBSPT). Dr. Carr's academic career includes roles as a Professional Officer and lecturer in mechanical engineering design courses. He has contributed to over 40 publications and secured over $2.7M in research funding. His work spans rail-running conveyor innovation, friction analysis, and material handling efficiency. Key achievements include the 2022 Citations for Outstanding Early Career Contributions to Engineering Education and multiple finalist awards in teaching and industry engagement. His research collaborations span global partners, with a focus on Australia and Germany.