جست‌وجوی استاد و پژوهشگر

Indre Jödickeمشاهده پروفایل

پژوهشگر

• Mechanical Engineering
• Materials Science
• Computational Mechanics
• +۳ مورد دیگر

Indre Jödicke serves as an Associated Doctoral Researcher in the Department of Microsystems Engineering at the Faculty of Engineering, University of Freiburg. Her work focuses on topology optimization of nonlinear mechanical metamaterials using Fast-Fourier-Transformation-based solvers to engineer materials with tailored nonlinear responses for long-lived, trainable systems. Her research spans Mechanical Engineering, Materials Science, and Computational Mechanics, with specific expertise in topology optimization, metamaterials, and nonlinear mechanical behavior. She investigates how material anisotropy and computational homogenization techniques can overcome manufacturing defects and numerical instabilities in architected materials. Analysis of her publications reveals a strong emphasis on computational material science. Her 2024 work addresses defect mitigation in architected materials through anisotropy, while her 2022 contribution solves ringing artifacts in FFT-based homogenization via finite-element projection. These studies advance structural optimization and computational homogenization methodologies. No scientific awards or fellowships are documented. She is supervised by Prof. Dr. Lars Pastewka within the livMatS cluster of excellence and has no listed advisees or additional grant information beyond her doctoral project.

• Numerical Analysis
• Computational Mathematics
• Sparse Signal Processing
• +۴ مورد دیگر

Dr. Toni Volkmer is a researcher affiliated with the Faculty of Mathematics at Chemnitz University of Technology. His work focuses on computational mathematics and signal processing, particularly in high-dimensional data analysis and sparse Fourier transforms. His research intersects numerical analysis, approximation theory, and algorithm design for efficient data processing. Key research areas include Sparse spectral estimation Rank-1 lattice sampling Multivariate function approximation High-dimensional data analysis Fast matrix-vector operations Graph Laplacian computations His publications demonstrate expertise in developing sublinear-time algorithms for harmonic analysis and creating efficient numerical methods applicable to modern data science challenges. While no formal awards are listed, his contributions to scientific computing have been documented in multiple peer-reviewed publications since 2012.

• Materials Science
• Civil Engineering
• Computational Mechanics
• +۳ مورد دیگر

Dr. Elodie Donval is a Postdoctoral Researcher at the Institute of Engineering Mathematics within the Department of Civil Engineering at the University of Duisburg-Essen, Germany. She has held this position since December 2023 and is actively engaged in DFG-funded research projects. Her academic background includes: Preparatory Classes (2014-2016) at Lycée Joliot Curie, Rennes, France Engineering Degree in Civil Engineering (2016-2020) from École des Ponts ParisTech, Champs-sur-Marne, France Master in Mechanics: Multiscale approaches for materials and structures (2019-2020) from École des Ponts ParisTech PhD in Structures and Materials (2020-2023) from École des Ponts ParisTech and the Scientific and Technical Center for Building, with dissertation titled "Fire Resistance of Natural Stone Masonry Walls" Dr. Donval specializes in computational materials science with emphasis on microstructure generation and FFT-based homogenization techniques. Her current DFG-funded project focuses on modeling binder-jet 3D-printed sand microstructures, bridging civil engineering, additive manufacturing, and advanced computational methods. She applies multiscale modeling approaches to analyze material behavior at micro levels, contributing to sustainable construction material development. She is supported by competitive German Research Foundation (DFG) funding and collaborates within the Institute of Engineering Mathematics research ecosystem. Her work demonstrates strong integration of theoretical mechanics with practical civil engineering applications, particularly in emerging 3D printing technologies for construction materials.

Ralf Brinkmannمشاهده پروفایل

استاد

• Biomedical Optics
• Optical Coherence Tomography
• Optical Coherence Elastography
• +۵ مورد دیگر

Dr. Ralf Brinkmann serves as Group Leader at the Institute for Biomedical Optics, University of Lübeck, and Managing Director of MLL GmbH. His research focuses on advancing optical imaging technologies for medical applications, particularly in neurosurgery and ophthalmology. His primary research interests include: Optical Coherence Tomography (OCT) and Elastography (OCE) Medical imaging for brain tumor detection Retinal laser therapies with precise temperature control Laser lithotripsy and urological applications Development of microscope-integrated imaging systems Dr. Brinkmann has published extensively with numerous high-impact publications from 2023-2025. His work demonstrates significant advancements in real-time temperature-controlled retinal treatments, in-situ brain tumor tissue delineation during neurosurgery, and improved laser stone ablation techniques. His research bridges engineering, physics, and clinical medicine to develop novel diagnostic and therapeutic approaches. His publication record shows a strong focus on: Real-time temperature-controlled retinal laser treatments Brain tumor tissue delineation during neurosurgery Optical methods for stone ablation in urology Fluorescence lifetime imaging for age-related macular degeneration Advanced image processing for medical diagnostics Dr. Brinkmann leads the AG Brinkmann research group and collaborates with numerous students and researchers, including Nicolas Detrez, Sazgar Burhan, Jessica Kren, and Paul Strenge, who frequently appear as co-authors on his publications. His work demonstrates strong interdisciplinary collaboration between engineering, physics, and clinical medicine, with direct applications to improving surgical outcomes and diagnostic capabilities.