جست‌وجوی استاد و پژوهشگر

Oscar Mendez Maldonadoمشاهده پروفایل

مدرس

• Robotics
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Oscar Mendez Maldonado is a Lecturer in Robotics and Artificial Intelligence at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Robotics Department and CVSSP Centre. He holds a PhD (2018) and BEng (2013) from the University of Surrey. His research focuses on Machine Learning, Computer Vision, and Robotics, with emphasis on autonomous systems, localisation, and SLAM applications. Key projects include the Autonomous Valet Parking (AVP) system for indoor navigation and the SMILE project for sign language assessment using AI. He has supervised students like James Ross (Autonomous Vehicles), Xihan Bian (Reinforcement Learning), and Nimet Kaygusuz (Visual Odometry). Notable achievements include the Sullivan Thesis Prize (2018) and impactful publications in IEEE conferences (e.g., ICRA, CVPR, IROS). Research spans topics like 3D hand pose estimation via diffusion models, graph-based visual odometry fusion, and Raman spectroscopy for localisation. He contributes to open-source tools (e.g., RaSpectLoc GitHub) and collaborates with industry partners like Parkopedia. His work bridges theoretical advances with real-world applications in autonomous systems and healthcare.

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.

• Robotics
• Autonomous Systems
• Mobile Robotics
• +۳ مورد دیگر

Changan Chen holds the Professorship for Robotic Systems at ETH Zürich, Switzerland. His research focuses on advancing robotic systems, particularly in autonomous navigation, sensor fusion, and safe path planning for mobile robots. He is affiliated with the Department of Robotic Systems and can be contacted at chencha@ethz.ch . His work emphasizes practical applications in challenging environments, leveraging interdisciplinary approaches from computer science and engineering. Recent contributions include advancements in floorplan localization and multi-goal planning algorithms.

Carl Sechenمشاهده پروفایل

استاد

• Digital Integrated Circuits
• Analog Integrated Circuits
• Computer-Aided Design (CAD)
• +۵ مورد دیگر

Carl Sechen is a Professor in the Electrical & Computer Engineering Department at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on design and computer-aided design (CAD) of digital/analog integrated circuits, with a strong emphasis on secure ICs and transistor-level programmable fabrics. He leads projects like the TRAP fabric, which achieves 10X logic density over traditional FPGAs while enabling secure hardware through IC redaction. Education: Ph.D. (1987, UC Berkeley), M.S. (1977, MIT), B.E.E. (1975, University of Minnesota). Awards include IEEE Fellow (2002), UTD Distinguished Teaching Award (2014), and multiple Semiconductor Research Corporation awards. His work bridges theoretical CAD advancements with practical hardware security solutions. Research Highlights: Secure IC design, transistor-level programmability, FPGA architecture, hardware security. Key Projects: TRAP fabric development, anti-reverse engineering techniques, low-power design methodologies. Awards: Over 20+ honors including best paper awards at PRIME (2017) and DATE (nominated 2017). Publications span journals like IEEE Transactions on CAD and conferences such as DATE, ISCAS, and VTS. Current work emphasizes secure hardware through obfuscation and programmable logic innovations.

Youness Dehbiمشاهده پروفایل

استاد

• Geoinformatics
• 3D City Modeling
• Remote Sensing
• +۷ مورد دیگر

Prof. Dr.-Ing. Youness Dehbi is a Professor for Computational Methods at HafenCity University Hamburg. His academic career includes roles as a postdoctoral researcher and scientific assistant at the University of Bonn's Institute of Geodesy and Geoinformation. He holds a Ph.D. in Computer Science from the University of Bonn (2016). His research focuses on geoinformatics, 3D city modeling, remote sensing, and applications in urban planning and disaster management. He has led projects such as VisioChick (enhancing animal welfare via mixed reality) and FPOplus (5G-based passenger flow management). Education: Ph.D. in Computer Science, University of Bonn (2016) M.Sc. and B.Sc. in Computer Science and Communication Research, University of Bonn (2008) Research Interests: Prof. Dehbi specializes in computational methods for spatial data analysis, including laser scanning, UAV missions, and semantic segmentation of historical maps. He explores applications in BIM, flood risk communication, and smart city technologies. His work bridges geoinformatics with urban sustainability and mixed reality. Awards: Best Paper Awards at multiple international conferences (2018–2024) Best Reviewer Award, ISPRS Congress (2021) Advising & Projects: He advises projects like NGCN (Next Generation City Networking) and collaborates with institutions like TU München and the University of Osnabrück. His team includes researchers like Dr. Son H. Nguyen and M.Sc. Lukas Arzoumanidis. Lab & Teams: His Computational Methods Lab at HCU develops tools for 3D city modeling and spatial data analysis, contributing to open-source geospatial software and collaboration with industry partners.

Nicolas Pugeaultمشاهده پروفایل

دانشیار

• Cognitive Vision
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Dr. Nicolas Pugeault is a Reader in Computing Science at the University of Glasgow's School of Computing. He holds a PhD from the University of Göttingen and has held roles including Postdoc at the University of Surrey and Assistant Professor at the University of Southern Denmark. His research focuses on cognitive vision, machine learning, and visual attention in complex control tasks. He has led projects like the EPSRC-funded DEVA grant and collaborated with institutions like the Alan Turing Institute. Education: Engineer degree from ESIEA Paris, MSc in Computational Intelligence from Plymouth, PhD from Göttingen. Research interests include human vision insights, visual attention modeling, and contextual scene understanding. Awards include the Alan Turing Institute Fellowship (2018–2020). Publications span anomaly detection in medical imaging, contextual object detection, and autonomous driving. His work integrates AI with robotics and environmental applications, such as weather forecasting and plankton analysis. He supervises a diverse cohort of PhD students across vision, robotics, and machine learning. Grants include leadership on EPSRC and InnovateUK projects. Teaching includes modules on Deep Learning and Data Science. His labs and teams contribute to advancements in cognitive vision systems and AI-driven solutions for real-world challenges.

Yasutaka Furukawaمشاهده پروفایل

دانشیار

• Computer Vision
• 3D Reconstruction
• Neural Networks
• +۵ مورد دیگر

Yasutaka Furukawa is a Principal Scientist at Wayve and an Associate Professor of Computing Science at Simon Fraser University (SFU). He leads the SFU Visual Computing Group, ranked 12th globally in Computer Vision and Graphics. His research focuses on 3D reconstruction, neural networks, and computer graphics, with notable contributions in multi-view stereo, CAD modeling, and diffusion models. Furukawa holds a Ph.D. from the University of Illinois at Urbana-Champaign (2008) and has held roles at Washington University in St. Louis, Google, and the University of Washington. Education: Ph.D., Computer Science, UIUC, 2008 Postdoctoral Research, University of Washington (with Prof. Steven Seitz and Brian Curless) Research Interests: Furukawa’s work bridges computer vision and graphics, emphasizing robust 3D reconstruction techniques. His projects include PuzzleFusion++ (diffusion-based fracture assembly), BrepGen (B-rep CAD generation), and HouseDiffusion (floorplan synthesis). He explores applications in autonomous systems, AR/VR, and robotics. Key Projects: Generative Adversarial Networks for architectural design (House-GAN series) Neural networks for inertial navigation (RoNIN) Diffusion models for spatial puzzles and CAD modeling Awards: Recipient of the PAMI Longuet-Higgins Prize (2020), NSF CAREER Award (2015), and multiple Google Faculty Research Awards. Teaching: Courses include CMPT412 Computer Vision and CMPT762 Advanced Computer Vision at SFU. Active in supervising over 30 graduate students and postdocs.

Andreas Kuhnerمشاهده پروفایل

پژوهشگر

• Robot Localization
• Robot Mapping
• Human Motion Analysis
• +۶ مورد دیگر

Andreas Kuhner is a PhD student and researcher at the Autonomous Intelligent Systems group in the Department of Computer Science at Albert-Ludwigs-Universität Freiburg, affiliated with the Faculty of Engineering. He has served as a teaching supervisor for seminars on robot navigation and brain signal decoding. Research Interests: His work focuses on robot localization and mapping, with a specialized interest in human motion analysis using motion capture systems. He applies machine learning techniques, particularly random forests, to assess human motion similarity in the context of Parkinson’s disease. His research bridges mobile robotics and biomedical applications. The publication trend reflects an interdisciplinary focus combining robotics, machine learning, and healthcare, particularly in using probabilistic models for clinical motion analysis. His master’s thesis addressed the alignment of robot-generated gridmaps with architectural CAD floorplans to improve human-robot spatial understanding. Scientific Awards: No awards mentioned. Advising and Grants: Andreas has supervised university seminars including Robot Navigation (WS2015/2016), Introduction to Computer Science for MST (SS2016), and a seminar on real-time brain signal decoding (SS2016). He is involved in research projects such as Calimotion and BrainLinks-BrainTools , which likely involve external funding, though specific grants are not detailed. Labs and Teams: He is an active member of the Autonomous Intelligent Systems research group led by Prof. Dr. Wolfram Burgard, a well-known lab in robotics and AI at the University of Freiburg.

• Life and Health Informatics
• Computer Systems
• Control and System Engineering
• +۵ مورد دیگر

Masao Yanagisawa is a Professor at Waseda University's School of Fundamental Science and Engineering, with over 25 years of academic experience since 1998. An IEEE and ACM member, he holds a Doctor of Engineering degree from Waseda University.

Hadar Averbuch-Elorمشاهده پروفایل

استادیار

• Computer Graphics
• Computer Vision
• Multimodal Perception Systems
• +۷ مورد دیگر

Hadar Averbuch-Elor is an Assistant Professor at the Cornell Ann S. Bowers College of Computing and Information Science and Cornell Tech , with prior roles at Tel Aviv University and postdoctoral work at Cornell Tech. Her research bridges computer graphics and computer vision , focusing on integrating 3D geometry and natural language into multimodal perception systems. Education: B.S. in Electrical Engineering, Technion Israel Institute of Technology Ph.D. in Computer Science, Tel Aviv University Her recent publications highlight advancements in diffusion models , 3D reconstruction , and image generation , with applications in text-guided shape editing , floorplan localization , and cuneiform digitization . Papers span top conferences like ICCV , SIGGRAPH , CVPR , and Eurographics . Scientific Awards: Zuckerman Postdoctoral Scholar Fellowship Schmidt Postdoctoral Award for Women in Mathematical and Computing Sciences Rising Star in Electrical Engineering and Computer Sciences, UC Berkeley She advises PhD students including Morris Alper , Etai Sella , and Daniel Garibi , and has mentored former MS/BS students like Gal Fiebelman and Rachel Mikulinsky .