جست‌وجوی استاد و پژوهشگر

Yuri Rzhanovمشاهده پروفایل

استاد پژوهشی

• 3D Modeling
• Visualization
• Artificial Intelligence
• +۷ مورد دیگر

Yuri Rzhanov is a Research Professor at the Center for Coastal and Ocean Mapping at the University of New Hampshire , where he focuses on numerical modeling and image processing for marine applications. His work bridges semiconductor physics foundations with modern underwater 3D scene reconstruction and habitat classification. Education : Ph.D. in Semiconductor Physics, Academy of Science of Russia M.S. in Semiconductor Physics, Novosibirsk State University Research Interests center on 3D modeling/visualization , underwater image processing , refractive effect compensation , and benthic habitat classification using conventional/multispectral imagery. His career evolved from semiconductor quantum effects to solid-state nonlinear phenomena, then to marine signal/image processing. Key Collaborators : Co-investigators: Larry Mayer, Brian Calder, Jennifer Dijkstra, May-Win Thein Co-authors: John Hughes Clarke, Kim Lowell, Thomas Butkiewicz Grants include projects funded by the US Geological Survey , NOAA , and US Navy (2004–2024) related to seafloor mosaicing, unmanned underwater vehicle coordination, and marine acoustic/image data processing.

Yan Xiaمشاهده پروفایل

پژوهشگر

• 3D Vision
• Localization and Navigation
• Robotics
• +۲ مورد دیگر

Yan Xia is a Senior Researcher at the Computer Vision Group of the Technical University of Munich (TUM) and a Research Scientist at the Munich Center for Machine Learning. She collaborates with Prof. Daniel Cremers and previously completed her PhD at TUM under supervision of Prof. Uwe Stilla and Prof. Daniel Cremers, with a visiting period at the Visual Geometry Group of the University of Oxford under Dr. João Henriques.

• Machine Perception
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Dr. Vasileios Balntas is a leading researcher in machine perception, currently serving as a Research Science Manager at Reality Labs Research. He holds an Honorary Research Associate position at the Department of Electrical and Electronic Engineering , Imperial College London, and previously led research at Scape Technologies and conducted post-doctoral work at the University of Oxford. His research spans computer vision , machine learning , and artificial intelligence , focusing on camera pose estimation 3D scene reconstruction image retrieval local feature descriptors egocentric vision systems privacy-preserving AI The 15 most recent publications highlight his work in neural rendering, adversarial learning, and structured language models for visual perception. Key trends include egocentric multi-modal AI 3D localization descriptor security autoregressive scene modeling infilling techniques second-order loss functions At Imperial College London, he contributes to the Faculty of Engineering 's research in electrical engineering and collaborates across Reality Labs Research and Scape Technologies on cutting-edge machine perception projects.

• Neuro-oncology
• Minimally Invasive Surgery
• Awake Brain Surgery
• +۶ مورد دیگر

Puneet Plaha is an Associate Professor and Consultant Neuro-Oncology Surgeon at the University of Oxford, based at the John Radcliffe Oxford University Hospitals since August 2012. He serves as Lead of the Oxford Neuro-oncology Multidisciplinary Team (MDT) and Lead for the Thames Valley Cancer Network for Brain Tumours, while chairing the Neuro-oncology section of the Society of British Neurological Surgeons. His educational qualifications include MBBS, MS, MD, FRCS, and FRCS (SN), reflecting extensive surgical and neurological training. Plaha's research centers on minimally invasive endoscopic techniques for brain tumor resection and advanced brain imaging to develop individualized treatments. He pioneered Oxford's Awake Surgery Brain Tumor Programme using intraoperative stimulation for supramaximal tumor resection. His work investigates neural network interactions with tumors, novel surgical modalities for safer procedures, immunotherapy applications, and clinical trials for brain cancer. Analysis of his 15 most recent publications (2023-2004) reveals dominant themes in glioblastoma treatment optimization, awake surgery refinement, and diffusion tractography applications. Key trends include immunotherapy integration (Ipi-Glio trial), pandemic impact on neuro-oncology care, and ultra-high-definition intraoperative imaging for low-grade glioma resection. As Chief Investigator for the UK NIHR-funded FUTURE-GB trial, Plaha leads multi-center glioblastoma research. His group also develops fast-track recovery protocols after minimally invasive tumor surgery and investigates neural network preservation during resection. No formal advisees are listed in available materials. He directs the Oxford Surgical Neuro-Oncology Research Group, which integrates clinical practice with translational research on tumor-immune interactions and surgical innovation, maintaining close collaboration with the Thames Valley Cancer Network for brain tumor management.

• Computer Graphics
• Multimedia
• Computer Science
• +۳ مورد دیگر

Petr Motlíček is an Associate Professor at the Faculty of Information Technology , Brno University of Technology. He works in the Department of Computer Graphics and Multimedia, focusing on accessibility navigation, content engineering, and interactive systems. Contact: Email: motlicek@fit.vut.cz Phone: +420 54114 1279 Office: L232 Research interests include computer graphics , multimedia systems , and user interface design , with emphasis on accessible digital solutions for diverse user groups.

Julia Hertelمشاهده پروفایل

پژوهشگر

• Augmented Reality
• Human-Computer Interaction
• Industrial Applications
• +۷ مورد دیگر

Julia Hertel is a Researcher at the Department of Informatics, University of Hamburg, specializing in Human-Computer Interaction (HCI) and Augmented Reality (AR) systems for industrial applications. Her work bridges AR technology with practical solutions in maritime navigation, hydrographic surveys, and healthcare virtual agents. Bachelor's (2016) and Master's (2020) in Computer Science and HCI from University of Hamburg Her research interests focus on Augmented Reality for industrial contexts , including perception challenges in AR environments, interaction design for immersive systems, and AR tool development for gas station maintenance and maritime navigation. She has contributed to projects like WizARd (2020-2023) and HafenplanZen (since 2022). Julia's publications span AR perception studies, no-code AR authoring tools, and neural rendering for VR. Key collaborations include work on medical virtual agents and geospatial data visualization. She is actively involved in the XR Lab at the University of Hamburg, exploring spatial user interaction and industrial AR applications.

Tianshi Gaoمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Large-scale Systems
• +۳ مورد دیگر

Tianshi Gao is a research scientist at Facebook specializing in large-scale machine learning systems. He earned his Ph.D. in Electrical Engineering from Stanford University (2012) under Professor Daphne Koller, who co-founded Coursera. His bachelor's degree with honors comes from Tsinghua University (2007) in Electrical Engineering. Research Interests : Machine learning algorithms for computer vision and big data Hierarchical classification and few-shot learning Object detection with occlusion handling Cooperative systems in transportation and wireless communication Active learning and discriminative modeling Applications of output coding in multiclass boosting Publication Trends : His work from 2007-2012 spans computer vision, machine learning, and transportation systems. Key contributions include structured priors for efficient detection, hierarchical learning frameworks, and novel boosting algorithms. Scientific Awards : Best Poster Runner-up Award at CVPR 2011 Workshop Professional Service : He has served as a reviewer for top-tier journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and Neural Information Processing Systems , plus organizing the Neural Information Processing Systems Workshop on Probabilistic Models for Big Data in 2013.

Lionel Garreauمشاهده پروفایل

دانشیار

• Strategic Management
• Sense-Making Processes
• Organizational Behavior
• +۴ مورد دیگر

Lionel Garreau is an Associate Professor qualified to supervise research (Habilitation à Diriger des Recherches) at the DRM (Dauphine Research Management) laboratory of Université Paris-Dauphine. His academic position focuses on strategic management research with particular expertise in qualitative methodologies and sense-making processes within organizational contexts. Garreau's research interests center on the construction of meaning in relation to strategic practices within organizations, with recent work focusing specifically on the agricultural and agri-food sector. He investigates the underlying logic of meaning that shapes current and future developments in this sector, examining how organizations create and interpret strategic significance. His methodological expertise in qualitative approaches has led to significant contributions in advancing research techniques and frameworks for strategic management studies. Analysis of his recent publications reveals a strong trend toward systemic thinking in business model research, strategic sensemaking processes, and the exploration of organizational hybridity. His work increasingly examines how organizations navigate complexity through narrative construction and visual representations, with growing attention to ethical considerations in strategic decision-making. The agricultural sector remains a consistent empirical focus for testing theoretical frameworks related to strategic change and sense-making. Garreau has served as co-director of significant academic publications including the 6th edition of Le mémoire de master (Dunod, 2023) and co-edited Méthodes de Recherche Qualitatives Innovantes (Economica, 2019), demonstrating his commitment to advancing research methodology in management studies. His research is frequently published in top-tier management journals including M@n@gement , Strategic Organization , and Scandinavian Journal of Management , with regular contributions to Harvard Business Review France on practical applications of strategic management concepts. Garreau maintains an active research agenda with multiple publications appearing in 2024 across various management topics. Garreau's work demonstrates strong connections with professional practice through numerous collaborations with industry partners and applied research projects, particularly evident in his case studies of retail and agricultural organizations. His research often bridges theoretical development with practical implementation challenges faced by contemporary organizations.

• Autonomous Driving
• Computer Vision
• Robotics
• +۳ مورد دیگر

Markus Enzweiler serves as Professor of Computer Science and Autonomous Systems at Esslingen University of Applied Sciences within the Department of Computer Science and Engineering. He concurrently holds the leadership position of Director at the Institute for Intelligent Systems, where he oversees research initiatives focused on intelligent systems development for real-world autonomous applications. His research program centers on computer vision for autonomous systems , with specialized expertise in visual-inertial SLAM, collective perception, and neural rendering techniques. Key investigation areas include environmental robustness across agricultural and urban settings, real-time processing constraints for embedded systems, sensor fusion methodologies (particularly camera-radar integration), and the application of generative models for perception enhancement. His work consistently addresses practical implementation challenges such as computational efficiency and sensor calibration in unstructured environments. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Advancement of lightweight perception systems through stixel-based representations and neural rendering; (2) Development of infrastructure-supported collective perception frameworks with datasets like CoopScenes and OPNV; and (3) Rigorous benchmarking of SLAM components in domain-specific contexts including agricultural robotics and multi-season navigation. His recent systematic review on LLM-based vulnerability detection also demonstrates expanding interest in software security for autonomous systems. As Director of the Institute for Intelligent Systems, Prof. Enzweiler leads a research ecosystem focused on translating theoretical advances into practical autonomous vehicle technologies. His team develops specialized datasets (Rover, OPNV) and software stacks for smart city environments, emphasizing the integration of novel perception approaches with vehicle dynamics modeling and real-time operational constraints.

Ezequiel Goldschmidtمشاهده پروفایل

استادیار

• Neurosurgery
• Human Anatomy
• Developmental Biology
• +۵ مورد دیگر

Ezequiel Goldschmidt, MD, PhD is an Assistant Professor in the Department of Neurological Surgery at the University of California, San Francisco (UCSF) . He is affiliated with the Brain Tumor Center and specializes in treating brain, skull base, and pituitary gland tumors using minimally invasive approaches . A proud member of the Latinx community, his research focuses on improving surgical techniques through human anatomy studies and exploring how developmental biology can enhance tumor growth understanding and brain recovery post-injury. Education: MD and PhD from Universidad de Buenos Aires Facultad de Medicina (2009) Residency in Neurosurgery at University of Pittsburgh Medical Center (2020) Postdoctoral Surgical Fellowship in Neuroplasticity at Karolinska Institute (Sweden) Research Interests: He investigates neurosurgical anatomy , endoscopic techniques , and brain tumor biology . His work includes determining risk factors for postoperative complications , application of indocyanine green (ICG) angiography , and genetic profiling of brain tumors . Clinical Trials: Dr. Goldschmidt leads trials on optic nerve stimulation to prevent visual deficits and ICG angiogram as a predictor of postoperative visual function. Scientific Awards: Fellowship in Skull Base Surgery at University of Pittsburgh Medical Center (2019) Fellowship in Neurosurgery Spine at University of Pittsburgh Medical Center (2015) Postdoctoral Surgical Fellowship in Neuroplasticity at Karolinska Institute Publications: His research spans minimally invasive neurosurgery , brain tumor classification , and intraoperative monitoring , with recent works on HPV-associated sinonasal cancer and immune checkpoint inhibition in meningiomas.

Elin Strand Larsenمشاهده پروفایل

دانشیار

• Media and Journalism
• Fake News
• Fact Checking
• +۴ مورد دیگر

Elin Strand Larsen serves as an Associate Professor in the Department of Information Technology and Communication at Østfold University College, where she is Deputy Head of the Area Studies Research Group (AreaS) and contributes to the Digital Communication (DIGICOM) research group. Based in Halden, she teaches core courses in the Bachelor in International Communication and Bachelor in Digital Media and Design programs, including spring 2024 coordination of Media Studies (SFB50316) and supervision of bachelor theses (SFB58022). Her academic foundation stems from a 2014 PhD in media and journalism from the University of Oslo, where her dissertation When a woman has to apologize... Mediated scandals, female politicians and rhetorical defense strategies analyzed rhetorical defenses by eight female politicians and trade union leaders during political scandals. This work established her expertise in gendered political communication and apology rhetoric. Dr. Larsen's research centers on media integrity in digital environments, with key interests spanning fake news and fact-checking mechanisms, political scandal dynamics, female politicians' rhetorical strategies (apologia), and crisis communication frameworks. Her work critically examines how misinformation spreads during conflicts like the Israel-Hamas war, how female politicians navigate media scandals, and how trust erodes in polarized digital societies—often revealing gendered double standards in political accountability. Analysis of her 15 most recent publications (2015-2024) shows persistent engagement with misinformation combat through fact-checking initiatives (e.g., CrossCheck), rhetorical analysis of political crises, and interdisciplinary explorations of borders/trust in digital societies. Her scholarship frequently appears in edited volumes on trust, alliances, and border studies, demonstrating strong collaborative patterns with researchers like Franck Orban and Sondre Lindahl. As an educator, she integrates research into bachelor-level teaching on media systems and digital design, emphasizing real-world applications of crisis communication theory. Her leadership in AreaS and DIGICOM facilitates cross-disciplinary projects examining digital society challenges, though specific lab structures or grant funding isn't detailed in available texts.

Mathieu Brédifمشاهده پروفایل

پژوهشگر

• Lidar Processing
• 3D Reconstruction
• Geovisualization
• +۵ مورد دیگر

Mathieu Brédif is a Permanent Researcher at LASTIG, Gustave Eiffel University, affiliated with the National School of Geographic Sciences (ENSG) and IGN. He serves as co-chair of ISPRS Working Group II/3 on Point Cloud Processing (2016-2020) and chaired ISPRS Working Group III/5 on Graphics and Remote Sensing (2012-2016). His academic appointments include Assistant Professor at École Polytechnique teaching Image Analysis and Computer Vision (INF573) and 3D Computer Graphics (INF443) since 2019-2020. Telecom ParisTech PhD (2005-2010) Stanford University Master in Computer Science (2004) École Polytechnique Engineering Degree (2000-2005) Brédif's research focuses on Lidar processing, 3D reconstruction, and geovisualization , with significant contributions to point cloud analysis, urban scene modeling, and historical image integration. His work bridges computer vision, photogrammetry, and geographic information systems, emphasizing practical applications in urban planning and cultural heritage. He has developed novel algorithms for point cloud inpainting, visibility estimation, and distributed 3D reconstruction. His publications reveal consistent focus on urban modeling through point cloud processing (58% of works), image-based rendering techniques (22%), and geovisualization systems (15%). The research trajectory shows increasing emphasis on deep learning applications for LiDAR data since 2016, alongside continued development of geometric algorithms for photogrammetric processing. ANR project leadership in geospatial data valorization (structurAtion et vaLorisation du patrimoinE géoGraphique - 9) iSpace&Time 4D web GIS development (5) European project participation in high-volume point cloud analysis (8) Brédif actively mentors doctoral candidates, currently supervising Melvin Hersent, Alexane Nghien, and Florent Geniet, with 8 completed PhDs including Pierre Biasutti and Murat Yirci. His laboratory work centers on the GEOVIS research team , developing the iTowns open-source framework for 3D geospatial visualization, which powers the Géoportail's 3D data engine and supports multiple ANR projects in cultural heritage visualization.

Eva Boxenbaumمشاهده پروفایل

استاد

• Organizational Theory
• Institutional Work
• Management Consulting
• +۴ مورد دیگر

Eva Boxenbaum is a Professor in the Department of Organization at Copenhagen Business School (CBS), Denmark, with significant contributions to organizational theory and institutional work. Her research intersects with United Nations Sustainable Development Goals through studies of organizational identity, hybrid forms, and sustainability. Her primary research focuses on organizational identity construction in professional contexts like management consulting, institutional work in experimental spaces, and the role of visual imagery in micro-foundations of institutions. Recent work explores hybrid organizational forms and the impact of large language models on organization theory, employing qualitative process-oriented methodologies. Analysis of her recent publications reveals a strong trajectory toward technology-organization interactions (particularly AI) while maintaining core expertise in identity work and institutional theory. Her scholarship consistently addresses how professionals navigate ambiguity in rapidly changing organizational landscapes. Professor Boxenbaum actively disseminates knowledge through 18 recorded academic activities including keynote lectures on category formation and hybrid organizational forms. She has supervised at least one graduate student and engaged extensively with public discourse through 24 media appearances covering topics from regional healthcare disparities to leadership in social housing projects.

Torsten Sattlerمشاهده پروفایل

پژوهشگر

• Computer Vision
• Image-based Localization
• 3D Reconstruction
• +۳ مورد دیگر

Dr. Torsten Sattler is a computer vision researcher at RWTH Aachen University, Germany, specializing in image-based localization and 3D scene reconstruction. His work focuses on developing efficient algorithms for camera pose estimation relative to large 3D models, with significant contributions to mobile localization systems and scalable reconstruction techniques. His primary research interests include: Image-based localization and pose estimation Large-scale 3D scene reconstruction Structure-from-Motion techniques Efficient correspondence search algorithms Mobile vision applications Point cloud processing and rendering Dr. Sattler's publication record shows a clear progression from fundamental algorithm improvements to practical systems for real-world applications. His research demonstrates particular expertise in optimizing RANSAC implementations, developing direct 2D-to-3D matching techniques, and creating memory-efficient solutions for mobile devices. The trend in his work moves toward increasingly complex systems that address practical challenges in urban-scale localization and reconstruction. Award: Best Paper Award at the ICCV Workshop on Big Data in 3D Computer Vision (2013) Dr. Sattler has maintained strong collaborations with researchers including Bastian Leibe and Leif Kobbelt. His work bridges theoretical computer vision with practical applications in augmented reality, robotics, and mobile navigation systems, often providing publicly available source code and project pages to support reproducibility and further research.

Huizhong Caoمشاهده پروفایل

پژوهشگر

• Cognitive Ergonomics
• Mental Workload
• Manufacturing Digitalization Innovation
• +۵ مورد دیگر

Huizhong Cao is a researcher at Production Systems , Chalmers University of Technology. With a background in architecture and sustainable urban planning, she bridges design and technology through projects involving XR platforms , digital twins , and human-centered design . MSc in Sustainable Urban Planning (Chalmers) BSc in Architecture (Wuhan University) Her research focuses on mental workload assessment , XR interface design , and sustainable smart cities . Key projects include: RILIK - Immersive learning framework XR-TBP - Extended reality training for battery production TRIREME - Digital & Green Skills development DIGITALIS - Cognitive work optimization Recent publications analyze: VR interface design for collaborative manufacturing XR applications in environmental sustainability Digital twin integration with IoT Scientific recognition includes: IPOET Scholarship LEXUS Design Award Finalist KTH Innovative Incubator Program UIA-HYP Cup Third Prize She has contributed to UX design and XR development across multiple projects, often combining participatory design with game engine technology . Contact: huizhong@chalmers.se | huizhongcao1@gmail.com