جست‌وجوی استاد و پژوهشگر

Jannis Teunissenمشاهده پروفایل

پژوهشگر

• Computational Plasma Physics
• Electric Discharge Simulation
• Scientific Computing
• +۲ مورد دیگر

Jannis Teunissen is a researcher in the Multiscale Dynamics group at Centrum Wiskunde & Informatica (CWI), the Dutch national center for mathematics and computer science. He also serves as a visiting lecturer at the Centre for mathematical Plasma Astrophysics at KU Leuven. Education: BSc in Physics & Astronomy and Master in Computational Science from University of Amsterdam PhD in computational plasma physics at CWI (obtained "cum laude") Postdoctoral research at KU Leuven's Centre for mathematical Plasma Astrophysics Dr. Teunissen's research focuses on computational plasma physics, particularly on simulating electric discharges. His work bridges theoretical modeling, computational methods, and experimental validation. He develops advanced computational techniques for studying streamer discharges, which are fast-moving ionized channels that form the first stage of sparks. These phenomena have important applications in environmental technology, high-voltage engineering, and atmospheric science. His research employs a range of computational methods including adaptive mesh refinement (AMR), plasma fluid modeling, particle-in-cell simulations, geometric multigrid solvers, and high-performance computing techniques. More recently, he has been applying machine learning methods to space weather research. Analysis of his publication history shows a strong focus on streamer discharge phenomena across different gas mixtures, with emphasis on macroscopic parameterization, electric field measurements, and radio emission calculations. Hershkowitz Early Career Award and Review (2024) from Plasma Sources Science and Technology Early Career Scientist Prize on Plasma Physics (2023) from IUPAP Student Award of Excellence of the Gaseous Electronics Conference (2015) PhD obtained "cum laude" (2015) Dr. Teunissen has been actively involved in several research projects including "Reliable nExt GENERation Actuation sysTEms (REGENERATE)" and "Plasma for Plants: Towards controlled and efficient plasma-activated water generation for a cleaner environment." His work has resulted in numerous publications focusing on streamer discharges in various gas mixtures, their radio emissions, electric field measurements, and computational modeling approaches. His research has significant implications for understanding natural phenomena like lightning and developing more environmentally friendly alternatives to traditional insulating gases used in high-voltage technology.

Jerzy Respondekمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Linear Algebra
• Fast Matrix Algorithms
• +۳ مورد دیگر

Jerzy Respondek serves as Professor at Silesian University of Technology's Department of Applied Computer Science within the Faculty of Automatic Control, Electronics and Computer Science, and concurrently as Visiting Scientist at Friedrich-Alexander-Universität Erlangen-Nürnberg's DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics – an Alexander von Humboldt Professorship. His research centers on numerical analysis with groundbreaking contributions to computational linear algebra, particularly fast matrix multiplication algorithms and confluent Vandermonde matrix inversion. His work bridges theoretical mathematics and practical applications in artificial intelligence, big data processing, and high-performance computing, emphasizing algorithmic efficiency and numerical stability. Recent publications reveal consistent scholarly impact, including a 2025 Springer monograph synthesizing fast matrix techniques with concrete implementations, and corrections to foundational algorithms demonstrating rigorous scholarly oversight. His research trajectory shows increasing focus on AI-optimized numerical methods while maintaining deep roots in classical matrix computation. As a reviewer for SIAM Review and IEEE Transactions since 2018, Professor Respondek contributes to scholarly quality control in computational mathematics. His affiliation with the Humboldt Professorship chair provides access to international collaborations and advanced research infrastructure, supporting his work in dynamics and machine learning applications. While specific student supervision details aren't provided, his professorial role indicates active mentorship in computational mathematics. His laboratory work is integrated within FAU's DCN-AvH Chair environment, focusing on numerical implementations for machine learning systems and control theory applications, leveraging the chair's interdisciplinary framework connecting dynamics, control, and computational mathematics.

• Partial Differential Equations
• Quantum Mechanics
• Numerical Analysis
• +۴ مورد دیگر

Romain Duboscq is a Lecturer at the National Institute of Applied Sciences (INSA) in Toulouse and a member of the Institute of Mathematics of Toulouse (IMT). He is affiliated with Paul Sabatier University (University Toulouse III) as evidenced by his contact information at the Toulouse Institute of Mathematics. His research spans several interconnected areas in mathematical physics: Analysis and numerical simulation of partial differential equations related to quantum mechanics Numerical methods for Gross-Pitaevskii type equations in Bose-Einstein condensates Stochastic Schrödinger equations and their numerical approximation Cauchy problem for stochastic Gross-Pitaevskii equations Stochastic regularization effects and the Itô-Tanaka trick Minimization of quantum entropies under local constraints Duboscq has developed the GPELab toolbox, a free-access Matlab resource for solving Gross-Pitaevskii equations, in collaboration with Xavier Antoine. His research often addresses challenging cases with strong nonlinearity and fast rotation in quantum systems. His work demonstrates a consistent integration of theoretical analysis with practical computational methods, making contributions to both fundamental understanding and applied methodology in quantum mechanical systems. His publication record shows sustained productivity across prestigious journals including Journal of Mathematical Physics, Annales Henri Lebesgue, and ESAIM: Mathematical Modelling and Numerical Analysis. The recent publications (2022-2025) demonstrate continued engagement with multiple research threads, particularly in quantum PDEs, stochastic methods, and computational approaches to quantum systems. Duboscq has received recognition through numerous publications in high-impact journals: Multiple publications in Annales Henri Lebesgue (2022) Work published in Journal of Mathematical Physics (2022) Contributions to ESAIM: Mathematical Modelling and Numerical Analysis (2025) Publications in Annals of Probability (2025) Research in Journal of Functional Analysis (2021) Duboscq maintains active research collaborations with several prominent researchers including Xavier Antoine, Christophe Besse, Renaud Marty, Anthony Réveillac, and Olivier Pinaud. His GPELab toolbox represents a significant contribution to computational tools for quantum physics research. While specific student supervision details aren't provided in the available information, his numerous collaborations suggest an active mentoring role in the research community. Duboscq leads the GPELab research group, which focuses on developing numerical methods and computational tools for quantum mechanical systems, particularly Bose-Einstein condensates modeled by Gross-Pitaevskii equations. The group's work bridges theoretical mathematics with practical computational applications, providing resources that enable more accurate simulations of complex quantum phenomena.

Adrien Busnot Laurentمشاهده پروفایل

پژوهشگر

• Numerical integration of stochastic differential equations
• Geometric numerical integration
• Algebraic and geometric structures in numerical analysis
• +۴ مورد دیگر

Adrien Busnot Laurent is a permanent researcher (Chargé de recherche) at INRIA Rennes in the MINGuS (Multi-scale numerical geometric schemes) team. He previously held a postdoctoral position at the University of Bergen working on the CODYSMA project (Computational Dynamics and Stochastics on Manifolds) with Hans Z. Munthe-Kaas, and completed his Ph.D. in Mathematics at the University of Geneva under Gilles Vilmart's supervision. His research focuses on numerical methods for stochastic differential equations, with particular emphasis on geometric numerical integration, algebraic structures in numerical analysis, and numerical integrators on manifolds. He has made significant contributions to the theory of exotic aromatic B-series, which provide a framework for analyzing high-order integrators for ergodic stochastic differential equations. Adrien's publication record shows consistent high-impact contributions in top journals including Foundations of Computational Mathematics, SIAM Journal on Scientific Computing, and Forum of Mathematics, Sigma. His work bridges theoretical mathematics with practical numerical algorithms, with applications in molecular dynamics and statistical physics. He has been recognized with the SWICCOMAS prize 2022 and the Henri Fehr prize for his Ph.D. thesis. As PI of the ANR JCJC project MaStoC, he leads research on manifolds and stochastic computations, with plans to open postdoc positions from September 2026. Adrien is actively involved in the academic community, co-organizing conferences including GeoStoch 2026 and CANUM 2026, and organizing a research seminar in applied mathematics at ENS Rennes. He also participates in outreach activities and supports diversity in mathematics.

Richard Waltonمشاهده پروفایل

استاد

• Solid-State Chemistry
• Inorganic Materials
• Porous Materials
• +۶ مورد دیگر

Richard Walton is Professor of Inorganic Chemistry at the University of Warwick, where he also serves as Chair of the Chemistry Research Committee. His career spans over two decades in academia, with positions at the University of Oxford, University of Exeter, and Open University before joining Warwick in 2006. His research group is based in the Materials and Analytical Science Building, providing state-of-the-art laboratory space for materials synthesis and characterization. Walton's research focuses on solid-state chemistry, particularly the synthesis and characterization of inorganic materials including porous materials, transition-metal oxides, and metal-organic frameworks (MOFs). His work bridges fundamental materials science with industrial applications in heterogeneous catalysis and energy. His group has developed solution-mediated crystallization routes for inorganic materials using hydrothermal and solvothermal methods, and has pioneered in situ diffraction studies to monitor crystallization in real time using high-energy X-rays and neutrons. Analysis of Walton's recent publications reveals a strong focus on metal-organic frameworks for catalytic applications, energy storage materials, and the development of novel synthesis methods for functional oxides. His work shows increasing interdisciplinary collaboration, particularly with researchers in Brazil, Indonesia, and across Europe. His group has made significant contributions to understanding structural transformations in MOFs, developing new catalysts for sustainable chemistry applications, and creating advanced materials for energy storage. Part II Thesis Prize from University of Oxford (1994) Postgraduate Chemistry Colloquium Prize from University of Reading (1997) Fellow of the Royal Society of Chemistry (2014) Royal Society Industry Fellow with Johnson Matthey (2015-2019) DSc from University of Warwick (2013) Walton has supervised numerous PhD students and postdoctoral researchers, with current group members working on projects spanning MOF synthesis, battery materials, catalysis, and structural characterization. His research has been supported by multiple grants, including his Royal Society Industry Fellowship, and he maintains extensive industrial collaborations, particularly with Johnson Matthey. The Walton Group is known for its international collaborations, with active projects in Brazil, Indonesia, and across European universities. His laboratory in the Materials and Analytical Science Building houses specialized equipment for materials synthesis, including hydrothermal and solvothermal reactors (100-500°C, 20-250 mL), X-ray diffraction suite, electron microscopy facilities, and thermal analysis suite for TGA-DSC studies. The group also leverages national facilities such as Diamond Light Source and ISIS Neutron and Muon Source for advanced characterization.

• Magnetic Resonance Imaging
• Biomedical Imaging
• Medical Physics
• +۵ مورد دیگر

Prof. Dr. Jens Frahm is a Research Group Leader at the Max Planck Institute for Multidisciplinary Sciences in Göttingen, Germany, where he heads the Biomedical NMR research group. He has led this group since 1982 and completed his habilitation at the University of Göttingen in 1994. Dr. Frahm's research focuses on the development and application of magnetic resonance imaging techniques. His work combines methodological advances with biomedical and clinical research to harness MRI's potential for characterizing living tissue. His team has pioneered real-time MRI technologies that enable visualization of dynamic physiological processes including joint movements, speech articulation, swallowing, and cardiac function without requiring breath-holds or ECG gating. Frahm's research has dramatically transformed clinical MRI practice. His FLASH (Fast Low Angle Shot) technology, invented in 1985, reduced MRI acquisition times by a factor of 100, making modern clinical MRI feasible. In 2010, his team developed FLASH 2, enabling image acquisition in as little as 10-40 milliseconds per frame, allowing for true real-time MRI of physiological processes. His scientific achievements have been recognized with numerous prestigious awards: Grand Cross of Merit of the Federal Republic of Germany (2025) European Inventor Award (2018) Werner von Siemens Ring (2020) Gold Medal Award of the International Society for Magnetic Resonance in Medicine (1991) Induction into the German Science Hall of Fame (2016) Frahm's FLASH technology is estimated to be used in approximately 100 million MRI examinations worldwide each year. Nearly every MRI scanner in hospitals globally utilizes his patented technology, which remains one of the Max Planck Society's most successful patents. His current research focuses on further developing real-time MRI for whole-body screening applications and monitoring minimally invasive procedures in real time. His laboratory continues to work on mathematical methods for image reconstruction that require minimal measurements per image, enabling observation of dynamic physiological processes in living organisms. The team maintains strong collaborations with clinical partners to translate these technological advances into medical practice.

Soner Onderمشاهده پروفایل

استاد

• Computer Architecture
• Processor Design
• Memory Systems
• +۳ مورد دیگر

Soner Onder is a Professor in the Department of Computer Science at Michigan Technological University, with an affiliated appointment in the Electrical and Computer Engineering department. His work focuses on computer architecture, programming languages, and simulation techniques, contributing significantly to processor design and memory systems research. Dr. Onder received his PhD in Computer Science from the University of Pittsburgh in 1999. His academic career has established him as a leading researcher in computer architecture with publications spanning two decades in top-tier conferences. Dr. Onder's research spans multiple areas of computer architecture and compiler design, with emphasis on processor design, memory systems, and compiler optimizations. He has made significant contributions to memory disambiguation techniques, branch prediction mechanisms, and energy-efficient processor designs. His work often bridges hardware and software domains, exploring how compiler techniques can better exploit architectural features. Recent research focuses on memory dependence prediction, recovery mechanisms for mispredictions, and energy-efficient data access patterns, with his "Future Gated Single Assignment Form" representing an innovative approach to program representation that bridges compiler design and architectural support. US Patent 7747993: Methods and systems for ordering instructions using future values (2010) Dr. Onder has advised numerous PhD students to completion, including Scott Pomerville (2024), Gorkem Asilioglu (2020), Omkar Javeri (2020), and Zhaoxiang Jin (2018). His research has been supported by grants including "Statically Controlled Asynchronous Lane Execution (SCALE)" and "Vectorized Instruction Space (VIS)" projects. He developed the FAST (Flexible Architecture Simulation Tool) for architectural research and continues to lead an active research program with publications appearing in top-tier venues through 2018. Dr. Onder leads research in computer architecture with a focus on practical implementations. His FAST simulation tool provides a flexible platform for testing architectural innovations. His work often involves collaboration with both compiler researchers and hardware designers to create holistic solutions to performance bottlenecks in modern processors, demonstrating the interdisciplinary nature of his research that bridges hardware and software concerns in computer system design.

OGATA Shujiمشاهده پروفایل

استاد

• Nanomaterials
• Composite materials and interfaces
• Structural and functional materials
• +۳ مورد دیگر

Professor Shuji Ogata serves in the Department of Physical Engineering, Applied Physics Field at Nagoya Institute of Technology's Graduate School of Engineering. His research spans nanomaterials, composite interfaces, and computational materials science with focus on molecular dynamics simulations of ferroelectric systems and polymer-metal adhesion. His educational background includes a Doctor of Science from The University of Tokyo (1991), preceded by undergraduate studies in Physics at the same institution. Key research interests include: Nanomaterials and composite interfaces Ferroelectric domain dynamics in materials like BaTiO 3 Moisture effects on polymer-metal adhesion Hybrid quantum-classical simulation methods Multiscale modeling from electronic to continuum levels Recent publications (2023-2024) demonstrate consistent focus on molecular dynamics simulations of ferroelectric materials and interfacial phenomena, particularly examining domain wall behavior in barium titanate and protonation mechanisms in epoxy resins under wet conditions. His work integrates machine learning potentials and first-principles calculations to address multiscale challenges. Award highlights include: Editors' Pick in Applied Physics Letters (2024) Featured Article in Journal of Applied Physics (2023) Best Technical Paper at Supercomputing 2001 Excellent Achievement Research Project from RIST (2015) His research program includes significant grants from JSPS, MEXT, and NEDO, particularly the "Super-fast development of super-materials" project (2016-2021) and current MEXT initiatives using the Fugaku supercomputer. He advises multiple doctoral students including Hikaru Azuma and Ryo Kobayashi who frequently co-author his recent publications. His Opto-Biotechnology Research Center affiliation enables cross-disciplinary collaborations in materials simulation.