جست‌وجوی استاد و پژوهشگر

Friedrich Fleischmannمشاهده پروفایل

استاد

• Optical Metrology
• Freeform Surface Measurement
• Experimental Ray Tracing
• +۳ مورد دیگر

Prof. Dr. Ing. Friedrich Fleischmann serves as a Professor at the Faculty of Production Engineering, University of Bremen, with his office located at Neustadtswall 30, 28199 Bremen (Building E, Room 208). His institutional affiliation spans multiple research initiatives focused on optical metrology and precision engineering within Germany's academic framework. His research program centers on advanced metrology techniques for freeform optical surfaces, with particular emphasis on experimental ray tracing methodologies, gradient sensor development, and characterization of both reflective and transmissive optics. Key research thrusts include the measurement of mid-spatial-frequency errors in progressive lenses, LED beam shaping optics, and high-precision verification of complex optical components. His work bridges theoretical optical design with industrial manufacturing applications, addressing critical challenges in optical quality control. Analysis of his 15 most recent publications (2019-2025) reveals a cohesive research trajectory focused on experimental ray tracing as a unifying methodology. His work demonstrates consistent innovation in surface reconstruction algorithms (particularly radial basis functions), sensor integration for gradient measurement, and cross-validation of optical metrology techniques across diverse applications from ophthalmic lenses to industrial lighting systems. The publications show strong methodological continuity between simulation frameworks and physical measurement validation. Prof. Fleischmann has led significant research projects including: Development and application of a digital twin for progressive lens verification (09/2024 - 10/2025) Further development of inventions for measuring shape and waviness of reflecting surfaces (03/2020 - 08/2021) Integrated gradient sensor for freeform surfaces using multiple light sources (09/2019 - 08/2021) Young Engineers 2015: Enhancement of Beamshaping Optical Elements for LED Lighting (eboLED) (05/2015 - 11/2019) EXIST Research Transfer: EasyPrecision measurement platform development (03/2012 - 10/2013)

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۴ مورد دیگر

Cédric Le Ruyet is a prominent researcher at the Conservatoire National des Arts et Métiers (CNAM) , affiliated with the CEDRIC Laboratory. His work spans Wireless Communications , Signal Processing , and 5G/6G Network Design , with a focus on Filter Bank Multicarrier (FBMC) systems, MIMO , and Cognitive Radio . He collaborates extensively with institutions like CEA-LETI and CNAM . His research interests include Channel Modeling , Resource Allocation , Beamforming , and Machine Learning in wireless contexts. He has contributed to Reconfigurable Intelligent Surfaces (RIS) for beam optimization and SCMA/OFDM codebook design. Recent publications highlight his work on QAM-FBMC systems, Rayleigh Fading Models , and 5G Network Coexistence . His articles often explore Distributed MIMO , Low-Complexity Equalizers , and Indoor Positioning via Channel State Information (CSI) . He has authored numerous IEEE Transactions and conference papers, with technical reports for projects like ANR POSEIDON and NF-PERSEUS . His methodologies integrate Genetic Algorithms , Lattice-Reduction , and Deep Learning for next-gen wireless systems.

• Visual Computing
• Computer Vision
• Image and Video Processing
• +۵ مورد دیگر

Martin Eisemann is Professor of Computer Science and Director at the Computer Graphics Lab within the Computer Science Department of the College of Engineering at Technical University of Braunschweig. Previously, he served as full professor for Computer Graphics at TH Köln (2015-2020) where he co-founded and led the Advanced Media Institute. His academic journey includes a Diploma (2006) from University of Koblenz-Landau and PhD (2011) from TU Braunschweig, followed by post-graduate work at TU Delft. His research spans visual computing with emphasis on computer vision, image/video processing, computer graphics, ray tracing, Monte-Carlo simulations, information visualization, and visual analytics. Recent work demonstrates strong focus on neural rendering techniques including neural point clouds, Gaussian splatting, and holography applications, reflecting evolving trends toward AI-integrated graphics pipelines and immersive visualization systems. His publications consistently address real-time performance challenges while advancing visual quality metrics. VMV'16 Best Paper Award EGSR'16 Best Paper Award ACM Multimedia 2015 Best Student Paper Award Graphics Interface 2015 Best Student Paper Award SAP 2025 Best Student Paper Honorable Mention As Dean of Studies (2023-2027) and former Audit Committee member, he actively shapes academic policy. His community service includes program committee roles for SAP, WACV, and Computational Visual Media conferences. Current research includes a planned sabbatical (April-October 2025) focusing on visual computing challenges. The Computer Graphics Lab maintains active collaborations with DLR, Ford, and European institutions through projects spanning planetary visualization, video conferencing security, and ADHD cognitive support tools.

Pascal Grittmannمشاهده پروفایل

پژوهشگر ارشد

• Global Illumination
• Monte Carlo Rendering
• Importance Sampling
• +۲ مورد دیگر

Dr. Pascal Grittmann is a Research Fellow in Computer Graphics at Saarland University, specializing in efficient and robust rendering algorithms. His research advances Monte Carlo methods, importance sampling, and bidirectional rendering techniques for global illumination. Current DFG-funded project develops adaptive bidirectional rendering solutions requiring minimal user configuration. Research aims to create universal rendering algorithms balancing efficiency and robustness across diverse scenes. Publications demonstrate innovations in variance-aware sampling, path guiding optimizations, and caustic rendering. Served as Eurographics Symposium on Rendering conference co-chair (2021). Teaching includes practical implementation of rendering techniques using Vertex Connection and Merging methods. Maintains collaborations with international computer graphics researchers.

Alexander Rathمشاهده پروفایل

پژوهشگر

• Computer Science
• Optics
• Rendering
• +۴ مورد دیگر

Alexander Rath is a researcher at Saarland University's Computer Graphics Lab within the College of Informatics. His work focuses on advanced rendering techniques and light transport simulation. Key research areas include: Importance sampling in computer graphics Wave optics modeling Lens design optimization Machine learning for rendering Path guiding algorithms Recent publications address: 2024: MARS algorithm for multi-sample allocation 2024: Neural BVH data structures 2023: Focal point identification in rendering 2022: EARS efficiency-aware sampling 2020: Variance-aware path guiding Additional contributions include open-source implementations on GitHub with MIT-licensed C++ code for focal path tracing experiments.

Stefan Zellmannمشاهده پروفایل

دانشیار

• Scientific Visualization
• Computer Graphics
• High-Performance Computing
• +۴ مورد دیگر

Stefan Zellmann is an Associate Professor and Principal Investigator of the DFG Project 'VTV-AMR' at the Institute of Computer Science , University of Cologne. His research focuses on the intersection of large-scale scientific visualization and high-performance computing, particularly in developing real-time rendering algorithms for adaptive mesh refinement (AMR) data. He leads projects such as ExaBrick (AMR rendering framework) and Visionaray (cross-platform ray tracing library). Education & Roles: Completed his PhD in 2014 on 'Interactive High-Performance Volume Rendering'. Currently teaches courses on graphics processor architectures and programming, including Practical Computer Science: Architecture and Programming of Graphics and Coprocessors . Research Interests: Direct volume rendering, physically based rendering, AMR visualization, GPGPU computing, and FPGA programming. His work emphasizes low-latency interaction and efficient algorithms for supercomputers/multi-GPU systems. Awards: Honorable Mention @EGPGV 2020, Best Paper Awards @EGPGV 2018 (for Rapid k-d Tree Construction ), @VDA 2017 (for Ray Clipping ), and @PDCS 2012 (for Distributed Volume Rendering Architecture ). Key Projects: ExaBrick (AMR rendering), Visionaray (ray tracing), Virvo (volume rendering library), and HPSC TerrSys (high-performance computing in terrestrial systems). Grants & Services: Co-Chair of IEEE LDAV 2022 Posters, Program Committee member for IEEE VIS and EGPGV. Regular reviewer for journals/conferences like TVCG and IEEE VR. Labs/Teams: Part of the Center for Data and Simulation Science (CDS), focusing on visualization algorithms for exascale computing and large-scale scientific data.

Thomas Kürnerمشاهده پروفایل

استاد

• Terahertz Communications
• Radio Wave Propagation
• Wireless Network Planning
• +۳ مورد دیگر

Thomas Kürner is a Professor at the Institute of Communications Engineering , Technical University of Braunschweig , specializing in Terahertz Communications , Radio Wave Propagation , and Wireless Network Planning . His work bridges theoretical modeling with practical implementation, focusing on 300 GHz systems for data centers, vehicular communication , and industrial applications . As an IEEE Fellow and Senior Member , he contributes to standardization efforts in IEEE 802.15 and URSI Commission F . Research spans Terahertz channel modeling , ray tracing simulations , and device discovery algorithms , with recent emphasis on reconfigurable intelligent surfaces and automated network planning . His 15 most recent articles (2021-2025) address challenges in high-speed data transmission , blockage analysis , and vehicular network optimization . Scientific awards include the ITG Sponsorship Prize (1994), IEEE Senior Member (2001), and IEEE Fellow (2020). He has advised 15+ students in mobile communication systems and contributed to Horizon 2020 projects like ThoR and iBroW .

Arne Schmitzمشاهده پروفایل

پژوهشگر

• Radio Wave Propagation
• Computer Graphics
• Wireless Network Simulation
• +۳ مورد دیگر

Dr. Arne Schmitz is a researcher at the Department of Computer Science, RWTH Aachen University, specializing in computational methods for wireless communications and computer graphics. His work bridges radio wave propagation physics with advanced visualization techniques, focusing on practical applications for mobile network planning and mobile device interfaces. His primary research domains include: Radio wave propagation modeling in urban environments GPU-accelerated beam/ray tracing algorithms Antenna pattern compression using spherical harmonics Real-time 3D visualization for resource-constrained mobile devices Ad-hoc multi-display systems for collaborative mobile applications Analysis of his publication timeline reveals an evolution from foundational radio propagation models (2006) toward increasingly sophisticated urban simulation frameworks (2011-2012), with consistent emphasis on computational efficiency. His most impactful contributions integrate computer graphics rendering techniques with telecommunications engineering, particularly in adapting beam tracing for radio wave simulation and developing novel mobile visualization paradigms that overcome hardware limitations through client-server architectures. Dr. Schmitz maintains a strong collaborative relationship with Professor Leif Kobbelt and colleagues at RWTH Aachen, with co-authorship appearing in 9 of his 10 documented publications. His research demonstrates consistent funding support through participation in IEEE and ACM conferences, though specific grant details are not disclosed in the available materials.

• GPU computing
• Parallel computing
• Domain-specific languages
• +۹ مورد دیگر

Prof. Dr.-Ing. Richard Membarth is a faculty member at Technische Hochschule Ingolstadt , where he holds the professorship for System-on-a-Chip and AI for Edge Computing. He is also affiliated with the German Research Center for Artificial Intelligence (DFKI) as a Senior Researcher and Team Leader for Compiler Technologies and High-Performance Computing, and with the Saarland University Computer Graphics Lab . His research spans GPU computing, domain-specific languages, and compilers. PhD from Friedrich-Alexander University Erlangen-Nürnberg (2013) Postgraduate diploma from Auckland University of Technology His research focuses on: Parallel computer architectures and programming models Automatic code generation for embedded to HPC systems Image processing, computer graphics, and deep learning applications Domain-specific languages for performance-portable code Recent publications highlight compiler design, GPU acceleration, and parallel algorithms. Scientific awards include the HiPEAC Paper Award (2018) and GPCE Best Paper Award (2015) . Professional roles include organizing High-Performance Graphics conferences as Treasurer (2024-2025) and Papers Chair (2020).

• Sensor Technology
• Quantum Physics
• Optics
• +۳ مورد دیگر

Prof. Dr.-Ing. Barbara Hippauf is a faculty member at Saarland University of Applied Sciences, where she serves as Head of the Technical Physics Laboratory within the Faculty of Engineering. She studied physics at the University of Karlsruhe (TH) in 1987, specializing in sensor technology, quantum physics, and optics. Her academic career includes roles at the University of the Federal Armed Forces Munich, Siemens AG, and the University of Karlsruhe (TH), where she completed her dissertation in 2000. She has been teaching Experimental Physics and Technical Physics since 2009. Born in Rotenburg an der Fulda, raised in Lima, Peru PhD in Electrical Engineering (Materials) from University of Karlsruhe Extensive industrial experience at Siemens AG and Alpha Engineering GmbH Current research focuses on precision engineering, solar thermal systems, and ceramic sensors Her research spans sensor technology , optical modeling , and solid-state materials , particularly in ceramic oxygen sensors and solar thermal systems. She has developed ray tracing simulations for light distribution analysis and contributed to statistical precision measurement in complex systems. At htw saar, she leads the Technical Physics Laboratory and contributes to academic governance as deputy chair of examination committees and member of master's admission commissions. She also serves as Bafög representative and equality officer for engineering students. Her publications and patents focus on: Self-heated porous oxygen sensors Noise compensation in acoustic systems Optical inspection methods for industrial automation Kinetic modeling of ceramic materials

• Medical Imaging
• Ultrasound Tomography
• Image Registration
• +۴ مورد دیگر

Torsten Hopp is a Research Associate at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT). His work focuses on advanced medical imaging technologies, particularly 3D ultrasound computer tomography (USCT) and its integration with MRI and X-ray modalities for breast cancer diagnosis. Research Interests: Ultrasound tomography system development Image registration algorithms Machine learning applications in medical imaging Biomechanical and computational modeling GPU-accelerated image reconstruction Multimodal imaging for clinical workflows Publication Trends: Torsten Hopp has contributed extensively to the evolution of 3D USCT, with recent work emphasizing deep learning integration , refraction correction , and patient-specific modeling . His research bridges hardware innovation (e.g., PtQube device) with computational methods for clinical translation. Labs & Teams: Affiliated with KIT's Institute for Data Processing and Electronics , he collaborates on projects like the High Data Rate Processing and Analysis Initiative , advancing ultrasound tomography for breast cancer screening.

Roland Leißaمشاهده پروفایل

استادیار

• Intermediate Representations in Compilers
• Program Optimizations
• Automatic Parallelization
• +۱ مورد دیگر

Roland Leißa is an Assistant Professor in the School of Business Informatics and Mathematics at the University of Mannheim, Germany. His research focuses on programming languages, compilers, and domain-specific languages (DSLs) for high-performance computing across heterogeneous architectures. He teaches courses on parallel programming, compiler construction, and advanced programming topics. His work emphasizes automatic parallelization, intermediate representations, and program optimizations, particularly through partial evaluation techniques. He has contributed to tools like MimIR, AnyDSL, and FLOWER, which address challenges in GPU programming, FPGA synthesis, and ray tracing. Roland leads research on abstracting industrial and scientific application problems into reusable, theoretically sound compiler solutions. His projects span sequence alignment accelerations, dataflow compilation, and vectorization strategies, targeting modern hardware including GPUs and SIMD architectures. Contact: leissa@uni-mannheim.de | Personal Website | ORCID: 0000-0002-2444-6782

Richard Membarthمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Domain-Specific Compilers
• GPU Acceleration
• +۴ مورد دیگر

Richard Membarth is an academic researcher at the Friedrich-Alexander-Universität Erlangen-Nürnberg, Department of Computer Science. His work focuses on high-performance computing, domain-specific compilers, and GPU acceleration. He has contributed to projects like FLOWER (dataflow compiler), Hipacc (image processing DSL), and XEngine (neural network optimization). Membarth's research bridges compiler design, parallel algorithms, and heterogeneous hardware, with applications in medical imaging, bioinformatics, and autonomous systems. Co-developer of AnyDSL framework for partial evaluation Lead in GPU acceleration for molecular dynamics (tinyMD) Specialized in compiler techniques for FPGAs and GPUs Key areas include: - Domain-specific languages (DSLs) - Parallel algorithm optimization - Medical computing pipelines - Real-time graphics rendering

• Electromagnetic Engineering
• Inverse Source Methods
• RF and Microwave Engineering
• +۳ مورد دیگر

Matthias Saurer is a researcher at the Technical University of Munich , affiliated with the Chair of High-Frequency Engineering under Prof. Dr.-Ing. Thomas Eibert. His work focuses on electromagnetic engineering, inverse source methods, and numerical modeling. Research interests include Advanced electromagnetic ray tracing Near-field antenna measurements and transformation techniques Hybrid numerical modeling with fast integral methods Inverse equivalent source solutions for directive antennas Recent publications highlight his contributions to 3D imaging algorithms, spectral filtering, and noise/error analysis in electromagnetic simulations. He collaborates on projects like UAV-based electromagnetic field measurements and metamaterials research.

Lars Hoffmannمشاهده پروفایل

پژوهشگر

• Computational Science
• High-Performance Computing
• Earth System Modeling
• +۲ مورد دیگر

Lars Hoffmann is a leading researcher at the Jülich Supercomputing Centre (JSC) , where he heads the HPC in Applied Sciences and Engineering division and co-leads over 40 researchers across five specialized teams. His work focuses on advancing Earth system science through innovative model development, numerical weather prediction, and atmospheric remote sensing analysis. He develops critical tools like the JURASSIC and MPTRAC models, which support research in climate science, astrophysics, and energy systems engineering. Research Pillars: Earth system modeling, high-performance computing, atmospheric science, remote sensing Key Projects: Joint Lab ExaESM, ICON model integration, stratospheric gravity wave analysis Collaborative Networks: Helmholtz Information Program, European research consortia His research explores atmospheric transport processes, gravity wave dynamics, and their impacts on climate and weather systems. Recent work includes: Analyzing gravity wave interactions with hurricanes and volcanic eruptions Developing GPU-accelerated models for computational efficiency Investigating polar stratospheric cloud formation mechanisms Linking satellite observations with numerical simulations Studying troposphere-to-ionosphere wave propagation Evaluating meteorological reanalysis datasets for climate studies