جستجوی استاد راهنمای دانشگاهی

Jan Salmenمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Neural Networks
• +۳ مورد دیگر

Dr. Jan Salmen is a researcher at Ruhr University Bochum's Faculty of Computer Science, affiliated with the Institute of Neuroinformatics (INI). His work focuses on real-time systems, computer vision, and machine learning. Doctoral thesis: Efficient video-based driver assistance systems Salmen's research spans autonomous driving, traffic sign recognition, stereo vision, and sports analytics. He has contributed to benchmarks in traffic sign detection and soccer analysis. Publications highlight his expertise in image processing, pattern recognition, and sensor fusion for autonomous systems. Key trends include optimization of machine learning algorithms for real-time applications. He collaborates with interdisciplinary teams at INI, which integrates experimental psychology, neurophysiology, and robotics into artificial cognitive systems research.

• 3D Light Measurement
• Optical Shape
• Structured Light
• +۷ مورد دیگر

Robert Sitnik is a Professor and Dean of the Faculty of Mechatronics at Warsaw University of Technology, where he is affiliated with The Institute of Micromechanics and Photonics. He earned his Doctorate in 2002 and has established himself as a leading researcher in 3D optical measurement techniques and applications. His research focuses on 3D light measurement, optical shape analysis, structured light techniques, and 3D data processing with applications spanning cultural heritage documentation and medical imaging. As the leader of the 3D/4D Optical Surface Measurement Team, he has pioneered innovative approaches to surface measurement and documentation. His work demonstrates strong interdisciplinary connections between mechanical engineering, computer vision, and practical applications in both cultural preservation and healthcare. His research has led to significant advancements in 3D scanning technologies, particularly for human body analysis and cultural heritage conservation. His publications reveal a consistent research trajectory focused on improving accuracy, efficiency, and applicability of 3D measurement systems. His scientific impact is evidenced by 159 publications, an h-index of 18 in Scopus and 17 in Web of Science, and 103 promoted theses. His research has been supported by 22 projects, resulting in 1 patent and substantial contributions to both academic knowledge and practical applications. As an academic leader, he has supervised numerous students and researchers, contributing significantly to the development of expertise in optical measurement technologies. His work bridges theoretical research with real-world applications in medical diagnostics, cultural heritage preservation, and industrial measurement systems.

Volker Rodehorstمشاهده پروفایل

استاد

• Computer Vision
• Image Analysis
• 3D Reconstruction
• +۵ مورد دیگر

Univ.-Prof. Dr.-Ing. habil. Volker Rodehorst is a full professor of computer vision at Bauhaus-Universität Weimar, holding positions in both the Faculty of Media and Faculty of Civil Engineering. His research focuses on photogrammetric computer vision, image analysis, 3D reconstruction, and structural health monitoring with applications in civil infrastructure inspection and urban modeling. He leads projects like ev.AI.luate and InfraCloud, leveraging AI and UAS technologies for infrastructure assessment. Education: PhD (2003): Technical University of Berlin, Faculty of Civil Engineering & Applied Geosciences Habilitation (2013): TU Berlin, Faculty of Electrical Engineering & Computer Science Computer Science Diploma (1994): TU Berlin Research Interests: UAS-based structural inspection using multi-view stereo and deep learning Crack detection and segmentation in concrete structures Automated building age estimation for energy modeling Flight path planning optimization for complex structures Integration of computer vision into BIM workflows Publications: Recent work emphasizes robust algorithms for crack detection (Omnicrack30k benchmark), UAS flight path optimization, and semantic segmentation challenges in bridge inspections. Key contributions include MVCrackViT and CISOL datasets advancing structural analysis methodologies. Awards: Best Academic Performance Prize (1994) - TU Berlin ISPRS Presidential Citation (2008) for WG III/2 leadership Grants & Labs: Leads Bauhaus' 3D-RealityCapture-ScanLab and coordinates EU projects like AISTEC-PRO. Active in developing modular solutions like smoodPLAN for infrastructure inspection. Teaching: Offers courses in photogrammetric computer vision, geodesy, and parallel systems. Supervises PhD students in structural health monitoring and computer vision.

Ning Wangمشاهده پروفایل

استاد

• 5G and beyond networking
• Future Internet design
• Mobile content delivery technologies
• +۵ مورد دیگر

Professor Ning Wang is a leading academic in communication systems at the University of Surrey's Institute for Communication Systems (ICS), School of Computer Science and Electronic Engineering. He holds a PhD from the University of Surrey (2004) and has expertise in 5G/6G networks, edge computing, and space-terrestrial integration. As a coordinator for the EuroMaster Programme and Communication Networks and Software (CNS) pathway, he leads research in network management, mobile video delivery, and IoT applications. His work has been featured in IEEE ComSoc Technology News three times since 2012. Current leadership roles include 5GIC Work Area 1 leader for content and network context. Research collaborations span global institutions like UCL, ETH Zurich, and industry partners like BT and InterDigital. Notable contributions include SDN-based space-terrestrial network integration (VDPA scheme) and O-RAN automation via federated DRL. Over 130 publications and active participation in standards bodies (IETF, 3GPP) reflect his impact on future network architectures. Educations: BEng in Computing (Changchun University of Science and Technology, 1996) MEng in Electronic Engineering (Nanyang Technological University, 2000) PhD in Electronic Engineering (University of Surrey, 2004) Research Focus: Future Internet design, network intelligence, content-centric networking, and satellite integration. Key projects include EU Horizon Europe SPIRIT (immersive telepresence), ESA TINA (satellite 5G functions), and EPSRC NG-CDI (converged digital infrastructures). His research emphasizes practical solutions like edge-AI for VNF splitting and holographic frame synchronisation. Grants & Projects: Over £20M in grants from EPSRC, EU Horizon, InnovateUK, and Royal Society. Active in EU-funded SAT5G (satellite-terrestrial 5G) and C-DAX (smart grid cybersecurity).

Jianke Zhuمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• 3D Reconstruction
• +۳ مورد دیگر

Jianke Zhu is a Professor at the College of Computer Science and Technology of Zhejiang University . He obtained his Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong and conducted postdoctoral research at the BIWI Computer Vision Lab, ETH Zurich . His research focuses on Computer Vision and Machine Learning , with a particular emphasis on 3D scene understanding, LiDAR-based mapping, and neural rendering. Dr. Zhu’s research spans several subfields, including 3D Reconstruction , Semantic Segmentation , Multimodal Learning , and Autonomous Driving . His work integrates Neural Networks , LiDAR Processing , and Uncertainty Quantification to address challenges in real-time and adverse conditions. Selected Recent Trends: 2025 publications highlight his work in Hexagonal Mesh-based Neural Rendering , Instance-aware 3D Scene Understanding , and Efficient Visual Projectors for Multimodal LLMs . Earlier works include Box2Mask for Instance Segmentation (2024) and Token Selection for Point Cloud Learning (2025). Scientific Awards : Senior member of the IEEE Advising and Grants : As a Doctoral Supervisor , he mentors students in advanced topics like LiDAR Odometry and Multi-view Stereo Recovery . His projects have attracted funding for autonomous driving , 3D scene modeling , and neural rendering .

Nima Kalantariمشاهده پروفایل

استادیار

• Computer Graphics
• Computational Photography
• Rendering
• +۵ مورد دیگر

Nima Kalantari is an Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University. He previously held a postdoctoral position at UC San Diego under Ravi Ramamoorthi. His academic journey includes a Ph.D. from UC Santa Barbara (ECE), an M.S. and B.S. from Amirkabir University of Technology (Electrical Engineering). His research focuses on computer graphics, computational photography, rendering, and deep learning, with emphasis on machine learning techniques for image synthesis and material generation. Education: Ph.D., Electrical and Computer Engineering, University of California, Santa Barbara, 2015 M.S., Electrical Engineering, Amirkabir University of Technology, 2009 B.S., Electrical Engineering, Amirkabir University of Technology, 2007 Research Interests: Kalantari's work bridges computer graphics and deep learning, particularly in computational photography, rendering, and view synthesis. Recent projects include 3D relightable face generation, sparse view synthesis with Gaussians, and physics-guided neural networks for fluid dynamics. Awards: 2024 Frontiers of Science Award (SIGGRAPH 2019) TEES Young Faculty Fellow Award (2024) Best Master Thesis Award, IEEE Iran Section (2010) Advising & Labs: Active mentor for 8 current Ph.D./M.S. students and advisor to alumni including Xilong Zhou (Postdoc at MPI for Informatics). His team focuses on projects like PanoDreamer (3D panorama synthesis) and PhotoMat (material generation from flash photos).

Ewelina Rupnikمشاهده پروفایل

پژوهشگر

• Photogrammetry
• Pose Estimation
• Image-based 3D Reconstruction
• +۷ مورد دیگر

Ewelina Rupnik is a prominent researcher in photogrammetry and remote sensing, currently holding a researcher position at the Laboratory on Geographic Information Science (LaSTIG) at the French National Institute of Geographic and Forest Information (IGN) since 2017. She also serves as an associate researcher at the Paris Institute of Earth Physics (IPGP). Rupnik has established herself as a leading expert in historical imagery processing, neural radiance fields, and bundle adjustment techniques. Her educational background includes a PhD in photogrammetry from the Vienna University of Technology (2015), an MSc in Engineering in Photogrammetry from AGH University of Science and Technology, Poland (2005-2010), and an Erasmus exchange at the Technische Universitaet Muenchen, Germany (2009/2010). She recently completed her Habilitation from Université Gustave Eiffel in June 2025. Rupnik's research focuses on advancing photogrammetric techniques for processing historical imagery, developing novel neural radiance field approaches for satellite imagery, and improving bundle adjustment methodologies. Her work bridges traditional photogrammetry with modern deep learning techniques, particularly in the context of sparse satellite views and historical multi-epoch imagery. She has made significant contributions to the open-source MicMac photogrammetry software project. Her recent publications demonstrate a strong trend toward integrating deep learning with traditional photogrammetric methods, with a particular emphasis on satellite and historical imagery analysis. The research spans from fundamental algorithm development (like SparseSat-NeRF and Pointless Global Bundle Adjustment) to practical applications in earth sciences (landslide, earthquake, and glacier volume mapping). 2022 EuroSDR PhD Award for Corona satellite imagery processing Best Paper Award for BRDF-NeRF research Outstanding Reviewer at CVPR 2025 Rupnik actively contributes to the academic community through editorial and leadership roles, including serving as Editor-in-Chief of the French Journal for Photogrammetry and Remote Sensing (2021-2025), Advisory Board Member of the International Journal of Photogrammetry and Remote Sensing (2024-present), and Co-chair of the ISPRS Working Group on Image Orientation and Sensor Fusion (2022-2026). She regularly teaches at Université Paris Cité & ENSG (~30 hours/year since 2015) and has conducted numerous workshops worldwide on photogrammetry with historical images and MicMac software.

• Mathematical Image Analysis
• Differential Geometry
• Variational Methods
• +۷ مورد دیگر

Francois Lauze is an Associate Professor at the Department of Computer Science , University of Copenhagen, affiliated with the Image Analysis, Computational Modelling and Geometry research group. His work bridges mathematical rigor and practical applications in image processing and shape analysis. Research Focus: Mathematical Image Analysis (variational/PDE methods) Differential and Riemannian geometry for shape statistics Applications: image inpainting, motion estimation, segmentation, medical imaging Contact: Email: francois@di.ku.dk Phone: +4535335671, +4521553933 Location: Universitetsparken 1, 2100 Copenhagen Ø Recent publications highlight advancements in SE(3) group CNNs for diffusion imaging, locally orderless networks for efficient processing, and refractive multi-view stereo techniques. His work integrates geometric modeling with computational implementations, emphasizing medical and video applications.

Hongrui Jiangمشاهده پروفایل

استاد

• MicroElectroMechanical Systems (MEMS)
• BioMEMS
• Optical MEMS (MOEMS)
• +۷ مورد دیگر

Hongrui Jiang is a Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with affiliations in Biomedical Engineering and Materials Science & Engineering. His research focuses on MEMS, BioMEMS, optical systems, microfluidics, and biomimetics, with applications in biomedical imaging, wearable sensors, and smart materials. He holds the Lynn H. Matthias Professorship and has been recognized as an IEEE Fellow and AIMBE Fellow. Education: PhD 2001, Cornell University MS 1999, Cornell University BS 1995, Peking University (Summa cum Laude) Research Interests: Jiang’s work spans micro-optical imaging systems, biological/chemical sensing, functional polymers, and bioinspired design. Key areas include wearable gait monitoring, laparoscopic surgery visualization, and tunable optical devices. His lab develops novel MEMS-based sensors and actuators for biomedical and environmental applications. Publications: Recent work emphasizes real-time video stabilization, 3D medical imaging systems, and wearable sensor networks. Themes include fusion of computer vision with biomedical engineering and optimization of microsystems for clinical use. Awards: 2023 Bryon Bird Award 2017 IEEE Fellow 2014 Lynn H. Matthias Professorship 2011 NIH New Innovator Award Teaching & Grants: Courses include E C E 230 (Circuit Analysis) and advanced graduate research seminars. His grants support projects in MEMS fabrication, biomedical sensors, and smart materials. He advises graduate students in ECE and collaborates across disciplines. Labs/Teams: Leads the Jiang Lab for MEMS and BioMEMS research, focusing on translational technologies for healthcare and engineering challenges.

• Computer Vision
• Photometric Stereo
• 3D Reconstruction
• +۳ مورد دیگر

Fumio Okura is a professor at Osaka University , specializing in Computer Vision and 3D Reconstruction . His work bridges Photometric Stereo , Neural Rendering , and Medical Imaging , with a focus on cognitive decline prediction and plant modeling . He collaborates extensively with researchers like Hiroaki Santo and Yasuyuki Matsushita . Education: Ph.D. in Computer Science (Osaka University) Research Interests span Computer Vision , Photometric Stereo , 3D Reconstruction , and Biomedical Applications . His recent work includes HoGS for object reconstruction and TreeFormer for botanical structure estimation. Publications trend toward neural rendering , reflectance modeling , and augmented reality . Notable contributions include PPGCN for cognitive detection and MVCPS-NeuS for multi-view photometric stereo. Labs & Collaborations include the Osaka University Computer Vision Lab , working with teams on photometric analysis and medical imaging .

Hans-Peter Seidelمشاهده پروفایل

استاد

• Computer Graphics
• 3D Image Analysis
• Digital Geometry Processing
• +۳ مورد دیگر

Hans-Peter Seidel is a leading academic in computer graphics, serving as Director of the Max Planck Institute for Informatics and Full Professor at Saarland University since 1999. Previously held roles include Full Professor at University of Erlangen (1992–1999) and Assistant Professor at University of Waterloo (1989–1992). Holds a PhD in Mathematics (1987) and Habilitation in Informatics (1989) from University of Tübingen. Research focuses on 3D image analysis, digital geometry processing, visual computing, and free viewpoint rendering. Key achievements include pioneering work in surface editing, motion capture, and multi-view video processing. Has organized major conferences like Eurographics and SIGGRAPH, serving as editor for journals including IEEE TVCG and Computer Aided Geometric Design. Recipient of the Eurographics Distinguished Career Award (2012), Gottfried Wilhelm Leibniz Prize (2003), and numerous fellowships. Led initiatives such as the Cluster of Excellence on Multimodal Computing and Interaction (M2CI) and the Max Planck Center for Visual Computing and Communication (MPC-VCC). Active in academic leadership roles including Eurographics Chair and DFG committees. Publications span over 30 SIGGRAPH and 50 Eurographics contributions, with an h-index of 62 and 14,000+ citations. Recognized as a top-cited researcher in computer graphics. Current research explores advanced visualization techniques and geometric modeling innovations.

Simon Bultmannمشاهده پروفایل

پژوهشگر

• Collaborative Perception
• Sensor Fusion
• Robot Perception
• +۴ مورد دیگر

Dr. Simon Bultmann is currently a Postdoctoral Researcher at the Robot Learning Lab, Albert-Ludwigs-Universität Freiburg. Previously, he completed his Ph.D. in the Autonomous Intelligent Systems Group at the University of Bonn (2019–2024) and earned his M.Sc. and B.Sc. in Electrical Engineering and Information Technology from Karlsruhe Institute of Technology (KIT, 2012–2018). His research focuses on collaborative perception, sensor fusion, and machine learning for embedded systems ("Smart Edge Sensors"). Key applications include real-time multi-modal semantic fusion, 3D scene perception, and autonomous UAVs. Awards: Best Paper Award at IEEE SSRR 2020 Finalist for Best Paper Award at RoboCup 2021 His work spans robotics, computer vision, and distributed systems, with contributions to international conferences like ICRA, RSS, and IAS. He has also been involved in competitions such as MBZIRC, demonstrating autonomous UAV capabilities in disaster response scenarios.

Carlos Vázquezمشاهده پروفایل

استاد

• Computer vision
• Medical imaging
• 3D reconstruction
• +۴ مورد دیگر

Carlos Vázquez is a Professor at the Department of Software Engineering and IT, École de technologie supérieure (ÉTS). He holds a B.Eng. and M.Sc. from ISPJAE, Cuba, and a Ph.D. from INRS, Montreal. His research focuses on computer vision, medical imaging, 3D reconstruction, and immersive video technologies. He co-leads the Summit Tech Research Chair in Immersive and Interactive Video and is affiliated with the Multimedia Research Laboratory (LABMULTIMEDIA) and the Open Innovation Laboratory in Health Technologies (LIO-ÉTS). His expertise includes stereoscopic imaging, multi-view video coding, and GPGPU programming. Notable research axes are software systems, multimedia, cybersecurity, and health technologies. He has supervised numerous doctoral and master’s theses, including works on 3D spine reconstruction, personalized femur modeling, and immersive video compression. Key contributions include advancements in medical imaging analysis, 3D reconstruction from biplanar radiographs, and efficient video coding for virtual reality. His work bridges clinical applications and engineering, with implications in surgical planning, patient rehabilitation, and multimedia systems optimization.

George Drettakisمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Rendering
• Image-Based Rendering
• +۱۲ مورد دیگر

George Drettakis is a Senior Researcher at INRIA Sophia-Antipolis and leads the GRAPHDECO research group. He has held professorial roles at institutions including MIT, University of Reims, University of Toronto, and École Normale Supérieure. His research focuses on rendering for computer graphics and sound, with emphasis on image-based rendering, perceptual rendering, and audio-visual cross-modal effects. He has also explored interactive illumination, shadows, relighting, and generative models. Current Students: G. Kopanas (Neural Rendering), N. Violante (Generative Models), A. Petitjean (co-supervised), Y. Poirier-Ginter (co-supervised), P. Panantonakis (starting fall 2023). Postdoctoral Researchers: A. Gauthier at INRIA. His recent work includes 3D Gaussian Splatting , Diffusion-based Relighting , and Neural Radiance Fields . He has received the Eurographics Outstanding Technical Contributions Award (2007) and was named an Eurographics Fellow . He manages projects like ERC Advanced Grant FUNGRAPH and has participated in H2020 EMOTIVE , ANR SEMAPOLIS , and CROSSMOD . His group collaborates internationally and has hosted researchers from institutions such as UC Berkeley, Imperial College London, and TU Wien.

• Solar Physics
• Heliospheric Physics
• Coronal Mass Ejections (CMEs)
• +۳ مورد دیگر

Laura Balmaceda is a Research Assistant Professor in the Physics & Astronomy Department, focusing on solar and heliospheric phenomena. Her work primarily involves analyzing coronal mass ejections (CMEs), solar energetic particles (SEPs), and interplanetary shock dynamics using multi-spacecraft observations from missions like Solar Orbiter, Parker Solar Probe, and STEREO. She contributes to instrumentation development, including calibration and data analysis for coronagraphs like CCOR and WISPR. Her research bridges observational data with theoretical models to understand particle acceleration mechanisms, CME propagation, and the evolution of magnetic structures in the corona and heliosphere. Key topics include magnetic flux rope stability, SEP longitudinal distribution, and the role of ICME-driven shocks in energetic particle events. She collaborates extensively with international teams to leverage multi-point observations for comprehensive solar system studies. Dr. Balmaceda has co-authored over 80 peer-reviewed articles since 2017, with a focus on solar wind structures, CME kinematics, and space weather forecasting. Her work emphasizes improving CME reconstruction techniques and quantifying uncertainties in heliospheric models. She actively participates in instrument calibration and mission planning for cutting-edge coronagraphs, ensuring robust data interpretation for future solar missions. Her contributions span from low-corona CME dynamics to interplanetary particle transport, with applications to both fundamental science and practical space weather predictions.