جست‌وجوی استاد و پژوهشگر

Miriam Schulteمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• High-Performance Computing
• Scientific Computing
• +۳ مورد دیگر

Miriam Schulte is a Professor at the University of Stuttgart’s Institute for Parallel and Distributed Systems, leading the Institute for the Simulation of Large Systems. She holds a Carl von Linde Junior Fellowship and has held academic roles since 2002, including heading the CFD Group at TUM. Her expertise spans computational fluid dynamics (CFD), high-performance computing (HPC), and numerical methods for PDE solvers. She earned her diploma (1997) and PhD (2001) in mathematics from TUM, followed by habilitation in Computer Science (2010). Her research focuses on optimizing algorithms for efficient simulation software, integrating mathematics and computer science. Key areas include fluid-structure interactions, multi-physics coupling, and scalable parallel computing. She has contributed to frameworks like Peano for adaptive Cartesian grids and developed methodologies for partitioned fluid-structure interaction simulations. Publications highlight advancements in HPC, multi-physics coupling, and parallel algorithms. Awards include the Bayerische Begabtenfoerderung (1993–1997). Her work bridges computational methods with real-world applications, emphasizing scalability and efficiency in large-scale simulations.

Hans Burchardمشاهده پروفایل

استاد

• Estuarine and coastal oceanography
• Turbulence closure modeling
• Numerical model development
• +۳ مورد دیگر

Hans Burchard is a Professor at the University of Rostock and Deputy Head of the Department of Physical Oceanography and Instrumentation at the Leibniz Institute for Baltic Sea Research . His research focuses on estuarine and coastal oceanography , with expertise in turbulence closure modeling (GOTM), three-dimensional numerical model development (GETM), and sediment dynamics . He leads projects examining anthropogenic impacts on coastal systems , long-term variability , and climate-driven mixing processes . Key projects include Skamix-WMT , CoastalFutures-2 , and GROCE-II , addressing issues like salinity intrusion , ice-ocean interactions , and ocean turbulence . Recent publications highlight diahaline mixing in marginal seas, storm-driven submesoscale processes , and numerical methods for ocean dynamics . Hans actively supervises PhD and Master’s students in topics related to ocean modeling , estuarine circulation , and sediment transport . He contributes to international collaborations through initiatives like the Virtual European Physical Oceanography and Shelf Sea Seminar Series (VEPOSSSS) and Gordon Research Conference on Coastal Ocean Dynamics (GRC) .

• Wireless Networking
• Sensor Networks
• Rural Networking
• +۵ مورد دیگر

Bhaskaran Raman is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay, where he leads research in networking systems with a focus on practical applications in developing regions. His work spans wireless networking, sensor systems, and mobile computing, with recent expansion into AI-assisted educational technologies. His research interests include wireless mesh networks for rural connectivity, transportation systems monitoring, mobile sensing applications, and educational technology. Notably, his lab has developed innovative solutions like Road-RFSense for traffic estimation in developing regions, FullStop for monitoring unsafe bus stopping behavior, and more recently, AI systems for automatic short answer grading with feedback. Analysis of his publication trends shows a consistent focus on practical networking challenges with strong emphasis on real-world deployment, particularly in resource-constrained environments. In recent years, he has expanded his research to include AI applications in education while maintaining his core expertise in systems research. Raman has mentored numerous graduate students who have become active researchers in networking and systems areas, with many continuing to collaborate with him on publications. His research has been supported by various grants focused on networking for developing regions and smart transportation systems. His lab at IIT Bombay focuses on building practical networking solutions with real-world impact, particularly for transportation safety and educational applications. The team combines expertise in wireless systems, mobile computing, and increasingly, artificial intelligence to address complex challenges in these domains.

Jörn Ostermannمشاهده پروفایل

استاد

• Video Coding
• Computer Vision
• Machine Learning
• +۹ مورد دیگر

Prof. Jörn Ostermann is a Full Professor and Head of the Institut für Informationsverarbeitung at Leibniz Universität Hannover since 2003, with prior roles at AT&T Bell Labs and AT&T Labs-Research. He served as Dean of the Faculty of Electrical Engineering and Computer Science (2011–2013) and member of the Senat (since 2020). His research spans video coding, computer vision, machine learning, 3D modeling, and computer-human interfaces , with applications in SAR imaging, predictive maintenance, children's speech analysis, and cochlear implants. Key projects include Next Generation Video Coding , Conditional Coding for Learned Compression , and GreenAutoML4FAS . Notable trends in his recent publications (2025–2023) include Neural network-based video compression Uncertainty estimation in speech recognition Zero-delay coding for cochlear implants Domain adaptation for aerial image segmentation 3D mesh compression standards Error concealment in VVC coding Scientific recognitions: AT&T Standards Recognition Award (1998) ISO Award (1998) IEEE Fellow (2005) Distinguished Lecturer, IEEE CAS Society (2002/2003) MPEG Convenor (2020–2023) He co-authored a graduate textbook on Video Communications , holds >30 patents, and has led >20 research projects. His work bridges academic research and industrial standardization, particularly in MPEG and IEEE committees.

• Magnetic Nanoparticles
• Medical Imaging
• Hyperthermia Therapy
• +۲ مورد دیگر

Ioana Slabu, Professor at the Institute for Applied Medical Engineering (RWTH Aachen University), leads advancements in medical nanotechnology. Her work focuses on magnetic nanoparticles for diagnostics and therapy, particularly in MRI visualization of implants, magnetic hyperthermia for cancer treatment, and magnetic particle imaging (MPI) applications. Her research integrates multimodal imaging techniques mathematical modeling of magnetic fields biocompatible material design functionalized nanoparticle surfaces for applications in cardiovascular, pancreatic, and gastrointestinal diseases. Key publication trends include iron oxide nanoparticles for mesh implant tracking , 3D-printed tumor models for magnetic targeting, and millifluidic manufacturing of standardized nanoparticles. She also explores machine learning for nanoparticle synthesis optimization. As thesis advisor, she mentors doctoral candidates in biomedical engineering while collaborating with multidisciplinary teams at RWTH Aachen University's AMET institute, including partnerships with clinicians, physicists, and material scientists. Her leadership extends to developing hybrid stents with magnetic properties for tumor ablation and biodegradable polymer fibers with embedded nanoparticles for controlled drug delivery systems.

Martin Eigelمشاهده پروفایل

پژوهشگر

• Numerical Mathematics
• Uncertainty Quantification
• Stochastic Partial Differential Equations
• +۵ مورد دیگر

Martin Eigel is a Researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) , specializing in numerical methods for stochastic partial differential equations, uncertainty quantification, and machine learning applications in computational mathematics. His work bridges tensor networks, Bayesian inversion, and quantum simulations. Research Interests : Adaptive stochastic Galerkin finite element methods Low-rank tensor approximations for high-dimensional problems Machine learning integration with PDE solvers Quantum circuit simulation techniques Bayesian inverse problems and error control Key Article Trends : His recent publications focus on merging deep learning architectures (e.g., ResNet, CNNs) with stochastic and tensor-based numerical methods for solving parametric PDEs, Bayesian inversion, and quantum systems. Topics include Hamilton-Jacobi-Bellman equations, Langevin dynamics, and risk-averse optimization under uncertainty.

Andrey I. Lyakhovمشاهده پروفایل

استاد

• Wireless Networks
• IEEE 802.11 Protocol
• Network Performance Analysis
• +۳ مورد دیگر

Andrey I. Lyakhov is a Professor and Doctor of Computer Science at the Institute for Information Transmission Problems of the Russian Academy of Sciences. He serves as the Head of Laboratory №18 and has been active since 1959. His research focuses on wireless networks, particularly IEEE 802.11 and 802.16 protocols. Position: Laboratory Chief Affiliation: Institute for Information Transmission Problems, Russian Academy of Sciences Research Interests: Wireless Networks, MAC Protocol Analysis, Network Performance, Distributed Control, Multicast QoS, Channel Assignment His work includes analytical modeling of data transmission, beaconing in mesh networks, and studies on network unfairness and congestion. He has contributed to patents in wireless sensor networks and piconet beacon management. Notable publications span wireless LANs, WiMAX, and sensor network optimization. Lyakhov's research has involved collaborations with international conferences and journals, focusing on throughput estimation, channel contention, and quality of service in wireless systems. Recent publications include studies on bandwidth piggybacking (2010), intra-flow interference in mesh networks (2010), and multicast QoS support in WLANs (2007). Earlier works from 1983-2008 cover foundational topics in queueing theory, cache efficiency, and distributed control systems.

Moritz Fleischmannمشاهده پروفایل

استاد

• Data-Driven Design
• Building Information Modelling (BIM)
• Sustainable Architecture
• +۴ مورد دیگر

Prof. Moritz Fleischmann is a faculty member at the Peter Behrens School of Arts (PBSA) , Hochschule Düsseldorf , appointed in 2021. His research focuses on data-driven design , Building Information Modelling (BIM) , and sustainable architectural practices . He serves as a board member of the Center for Digitalization and Digitality (ZDD) and Vice Dean of the Architecture Department. Research: Digitalization in architectural design, BIM, computational modeling, lightweight structures Teaching: Bachelor and Master programs in Architecture, Interior Architecture, and Data Science Awards: Recognized with multiple honors including the Mies van der Rohe Preis and Schindler Award His publications emphasize computational design methods for optimizing spaceframe structures , microclimate design , and material behavior integration . Collaborative works with institutions like ICD Stuttgart and firms such as HENN Architekten highlight his interdisciplinary approach. Scientific Awards: Sonderpreis Jongespreis (2016) Best Paper Award AAG 2014 Mies van der Rohe Preis (2011) Detailpreis (2010) Leichtbaupreis (2010) Arch+ Preis (2006) Schindler Award Anerkennung (2004) Professional Activities: Head of Research at HENN Architekten (2011–2015) Co-founder of DRX (Design Research Exchange) projects Contributor to international conferences and journals Exhibited at venues including the Beijing Biennale and AA End of Year Exhibitions

Ulrike Bückingمشاهده پروفایل

مدرس ارشد

• Discrete Differential Geometry
• Conformal Geometry
• Discrete Surfaces
• +۳ مورد دیگر

Ulrike Bücking serves as a Senior Lecturer in the Department of Mathematics and Computer Science at Free University of Berlin, where she is Deputy Head of the Primary School Mathematics Group within the Discrete Methods in Algebraic Geometry & Mathematics for Teacher Training working group. Her academic responsibilities include teaching mathematical professional knowledge courses for primary school teacher candidates since 2019, with recent expansion to advanced specialized instruction for mathematics-focused teacher trainees. Her research spans two interconnected domains: theoretical discrete differential geometry focusing on convergence of discrete conformal mappings, rigidity of planar patterns, and discrete minimal surfaces; and mathematics education specifically tailored for primary school teacher preparation. This dual expertise manifests in publications ranging from pure mathematical investigations of circle patterns and discrete Riemann surfaces to innovative pedagogical frameworks for mathematics teacher education. Analysis of her 15 most recent publications reveals a consistent trajectory in discrete complex analysis with increasing integration of mathematics education research since 2020. Her geometric work demonstrates methodological evolution from foundational circle pattern theory toward sophisticated discrete surface constructions, while her educational publications address practical curriculum development for teacher training programs. The 2023 MatheProfIL paper exemplifies her applied approach to bridging theoretical mathematics with classroom pedagogy. Dr. Bücking maintained continuous research activity through her decade-long participation (2012-2024) in the Collaborative Research Center/Transregio 'Discretization in Geometry and Dynamics' (Project A01: Discrete Riemann Surfaces). Her teaching portfolio shows significant evolution from advanced mathematics courses for physicists at TU Berlin (2002-2018) to specialized mathematics education for primary teachers at Free University of Berlin. She actively contributes to the Primary School Mathematics Group and collaborates within the Discrete Methods in Algebraic Geometry & Mathematics for Teacher Training working group, maintaining an office at Arnimallee 3 in Berlin's mathematics institute where she supervises course development and coordinates teacher education initiatives.

Volker Mohrholzمشاهده پروفایل

پژوهشگر

• Physical Oceanography
• Marine Biogeochemistry
• Estuarine Circulation
• +۵ مورد دیگر

Volker Mohrholz is a Researcher at the Leibniz Institute for Baltic Sea Research Warnemünde (IOW), specializing in Physical Oceanography and biogeochemical processes. His work focuses on estuarine circulation in the Baltic Sea, dynamics of water exchange, upwelling systems in the Benguela region, and turbulent processes in shelf seas. He holds a Ph.D. from Universität Rostock (1998) and a Diplom in Physics (1994), both in oceanography-related disciplines. Mohrholz leads and collaborates on major projects such as the AIR-MoPSy, MnION, and MAPUCHE initiatives, investigating topics like atmospheric impacts on positioning systems, nitrogen metabolism in river plumes, and Patagonian fjord dynamics. His research integrates observations and modeling to understand climate-driven changes in marine systems, with a particular emphasis on hypoxia, nutrient cycling, and ecosystem responses. Mohrholz has contributed to over 150 publications, including studies on Arctic Ocean dynamics, Baltic Sea hydrography, and Benguela upwelling variability. He serves as a key figure in long-term monitoring programs and international collaborations, such as the MOSAiC Arctic expedition and Benguela-Namibian ecosystem studies. Education: Ph.D. in Physical Oceanography (1998), Universität Rostock Diplom Physik (1994), Universität Rostock Research Interests: Estuarine and shelf sea dynamics, biogeochemical cycles, upwelling systems, climate impacts, turbulent mixing processes, and long-term ocean monitoring. His work bridges physical oceanography with ecosystem studies, focusing on regions like the Baltic Sea, Benguela Current, and Arctic Ocean. Key Projects: AIR-MoPSy: Atmospheric impact on positioning systems in marine environments MAPUCHE: Investigating anoxia impacts in Patagonian fjords and Chilean upwelling regions CUSCO: Coastal upwelling under climate change in Peruvian waters EVAR: Benguela system oxygen and carbon budgets under climate variability Labs/Teams: Leads the Physical Oceanography and Instrumentation department at IOW, managing long-term moorings and microstructure profiling activities. Collaborates with international teams on Arctic expeditions and African upwelling studies.

Ugo Finnendahlمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Mesh Parameterization
• Geometric Acoustics
• +۳ مورد دیگر

Ugo Finnendahl is a Researcher in the Department of Computer Graphics at Technische Universität Berlin. He holds an M.Sc. in Computer Science and is affiliated with the Computer Graphics group led by Prof. Marc Alexa. His research focuses on advanced computer graphics topics including mesh parameterization, geometric acoustics, physically-based simulation, and exact arithmetic algorithms. Key contributions include methods for differentiable rendering, intrinsic triangulation optimization, and geometric stylization techniques. Recent work emphasizes integrating geometric modeling with machine learning frameworks (e.g., path tracing backpropagation), improving mesh deformation techniques (ARAP revisited), and developing efficient exact arithmetic systems for planar embeddings. No scientific awards are explicitly mentioned in the provided materials. His research spans collaboration with institutions like TU Berlin's Computer Engineering and Microelectronics Institute, contributing to both theoretical advancements and practical applications in computer graphics.

• 3D Computer Vision
• Shape Modeling
• Virtual Humans
• +۴ مورد دیگر

Victoria Fernandez Abrevaya is a post-doctoral researcher at the Max Planck Institute for Intelligent Systems (Perceiving Systems department) in Germany. She holds a PhD from Inria Grenoble (France) under Professors Edmond Boyer and Stefanie Wuhrer, and a MSc in Computer Science from the University of Buenos Aires, Argentina. Her work focuses on 3D reconstruction and understanding of humans from 2D data, with emphasis on facial animation, neural rendering, and generative models. Research interests: 3D computer vision and shape modeling Neural rendering techniques Diffusion models for motion and appearance synthesis Biometric fairness in face analysis Real-time face capture systems Geometry-constrained multi-human rendering Recent work explores occluded face expression reconstruction (OFEr 2025), interactive dynamics modeling (InterDyn 2025), and latent realignment for motion diffusion (Lead 2025). Her SPARK system (2025) enables real-time monocular face capture through self-supervised learning. Prior contributions include FLAME (2023), a popular 3D face model framework, and work on multilinear autoencoders for dynamic facial analysis (2018). She co-developed ImAvatar (2022), an implicit morphable head avatar system from videos.

Dietrich Paulusمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Medical Imaging
• +۲ مورد دیگر

Prof. Dr.-Ing. Dietrich Paulus heads the Active Vision Group at the University of Koblenz's Institute of Computational Visualistics. His research spans computer vision, robotic perception, medical image analysis, and 3D reconstruction techniques. Current projects include automated spine modeling for medical applications, hyperspectral imaging for autonomous driving, agricultural robotics, and sensor calibration methods. Recent work demonstrates strong applications in medical imaging with projects on 3D vertebrae measurement, spinal ligament detection, and cochlear image segmentation. The group also develops educational robotics frameworks and participates in robotic challenges as pedagogical tools. Methodological advances include generative adversarial networks for synthetic data generation, point-cloud change detection, and online calibration of LIDAR systems.

• Augmented Reality
• Virtual Reality
• Optical See-Through Head-Mounted Displays
• +۵ مورد دیگر

Alexander Plopski is an Associate Professor in the Department of Information and Computer Science at Keio University's Graduate School of Science and Technology. His research focuses on advancing augmented reality technologies, particularly optical see-through head-mounted displays, eye tracking systems, and human-computer interaction paradigms for immersive environments. Dr. Plopski's research interests span multiple dimensions of augmented reality systems. He investigates fundamental challenges in optical see-through displays, including depth perception, occlusion handling, and visual comfort. His work on gaze interaction has significantly contributed to our understanding of how eye tracking can enhance AR experiences. He also explores spatial cognition in AR environments, examining how users perceive and remember spatial information when augmented content is present. His research bridges the gap between display technology, human perception, and practical applications across various domains including industrial assembly, music education, and accessibility. Analysis of his recent publications reveals a strong emphasis on improving the visual quality and usability of AR systems. His work addresses critical challenges such as focal modulation, text legibility in out-of-focus conditions, and creating indistinguishable AR experiences. He has also made significant contributions through comprehensive surveys that map the research landscape in gaze interaction and optical see-through displays. Dr. Plopski's collaborative approach is evident through his extensive network of co-authors across multiple institutions. His work demonstrates both theoretical depth and practical impact, with applications spanning from industrial settings to educational contexts.

• Computer Vision
• Image Processing
• Machine Learning
• +۴ مورد دیگر

Paul L. Rosin is a Professor at Cardiff University, UK, with a focus on computer vision, image processing, and computer graphics. His research spans topics such as digital forensics, 3D modeling, deep learning applications, and benchmark dataset development. He has collaborated extensively with colleagues globally, contributing to advancements in semantic segmentation, video analysis, and image manipulation detection. Rosin has led or co-authored numerous high-impact publications in top-tier conferences like CVPR, ICCV, and ICASSP, and journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Computer Vision and Image Understanding. His work emphasizes real-world applications, including medical imaging (e.g., burn region segmentation) and remote sensing (e.g., road detection). He has also explored interdisciplinary areas like aesthetic style transfer and chat-driven 3D modeling with large language models. Rosin’s contributions to the field include benchmark datasets for forensic video analysis and scalable vector graphics synthesis, reflecting his commitment to advancing both theoretical and applied research in computer vision and graphics.