جستجوی استاد راهنمای دانشگاهی

Camille Schreckمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Physics-based Simulation
• Geometric Modeling
• +۲ مورد دیگر

Camille Schreck is a researcher in Computer Graphics currently holding an Inria Starting Faculty Position (ISFP) at Inria Nancy within the MFX Team. She has been actively contributing to the field of computer graphics with a focus on physics-based simulation and geometric modeling since completing her PhD in 2016. Her educational background includes an engineering degree from ENSIMAG (Grenoble INP) in 2013, followed by a PhD at the University of Grenoble-Alpes supervised by Stefanie Hahmann and Damien Rohmer. Between 2016 and 2020, she conducted postdoctoral research at IST Austria in Chris Wojtan's group. Dr. Schreck's research spans physics-based simulation of natural phenomena, geometric modeling, and computational fabrication techniques. Her work demonstrates particular expertise in simulating deformable materials like paper, water dynamics, and developing novel methods for 3D printing and shape manipulation. She has successfully bridged theoretical computer graphics with practical applications in digital fabrication. Her publication record shows consistent high-impact contributions to top computer graphics venues including SIGGRAPH, Eurographics, and Computer Graphics Forum, with recent work focusing on star-shaped particle simulation, self-shaping 3D printed structures, and efficient mesh processing techniques. The progression of her research demonstrates a clear trajectory from fundamental paper simulation to increasingly complex physical phenomena and fabrication methods. Young Research Fellow of Eurographics France (YFR EGFR) - 2024 Dr. Schreck serves on numerous program committees including SIGGRAPH, Eurographics, and Shape Modeling International. She teaches courses in computer graphics and parallelism at ENSG-GeoRessources and Telecom Nancy, both part of Université de Lorraine. Her teaching spans from 2020 to the current 2024-2025 academic year. As a member of the MFX research team at LORIA (Inria Nancy), she collaborates on advancing the state of the art in physics-based animation and geometric modeling, with her StarDEM project representing a significant contribution to particle simulation methods.

Hao Zhangمشاهده پروفایل

استاد

• Computer Graphics
• Visual Computing
• Geometric Modeling
• +۵ مورد دیگر

Hao Zhang is a Distinguished Professor and IEEE Fellow at Simon Fraser University's School of Computing Science, leading the GrUVi (Graphics & Vision) Lab. He holds a Ph.D. from the University of Toronto's Dynamic Graphics Project and degrees from the University of Waterloo. His research focuses on computer graphics, geometric modeling, and visual computing, with over 200 publications, including 70+ in SIGGRAPH/TOG. He directs research in 3D representation learning, generative models, and fabrication-aware design. Awards include the ACM SIGGRAPH Academy induction (2025) and IEEE Fellow (2024). He advises numerous students, many of whom have become professors or industry leaders. His work spans theoretical contributions (e.g., Test of Time Award for 2013 paper) and applied innovations like Slice3D and ArcPro. He is Technical Papers Chair for SIGGRAPH 2025 and has held roles at Amazon as an Amazon Scholar. Education: Ph.D., Dynamic Graphics Project, University of Toronto MMath and BMath, University of Waterloo Research Interests: Geometric deep learning, 3D vision, CAD representation, spatial AI, computational fabrication. Key projects include neural implicit fields (IM-Net), structured 3D synthesis (BSP-Net), and generative models (LOGAN). Collaborations include Adobe, Autodesk, and Amazon.

Kjell Gunnar Robbersmyrمشاهده پروفایل

استاد

• Mechatronics
• Machine Design
• Condition Monitoring
• +۵ مورد دیگر

Kjell Gunnar Robbersmyr is a Professor at the University of Agder's Department of Engineering Sciences and director of the Top Research Center in Mechatronics. With a Ph.D. in mechanical engineering from NTNU (1992), his career spans academic leadership, research management at Agder Research, and active contributions to IEEE. His work focuses on mechatronics, machine design, and condition monitoring, with special emphasis on fault diagnosis in electric motors and vehicle crash modeling. Senior Member of IEEE Member of Norwegian Academy of Technical Sciences Member of Agder Academy of Sciences Research interests include: Advanced fault diagnosis in electric drives using AI and signal processing Vehicle crashworthiness modeling with lumped parameter and finite element methods Optical measurement technology for machine monitoring Digital twin applications for infrastructure and wind energy systems Condition monitoring of low-speed bearings and rotating machinery Recent publications demonstrate expertise in: Deep learning for imbalanced motor fault datasets Transformer networks in power electronics diagnostics 3D reconstruction techniques for mechanical systems Multi-classifier decision fusion in power systems Dynamic operations modeling for electric vehicles Scientific contributions include: Over 50 peer-reviewed articles Leadership in the Intelligent Monitoring research group Development of novel inverter topologies Innovations in wind turbine condition monitoring Advancements in laser-based mechanical diagnostics

• Cartography
• Geomatics
• Historical GIS
• +۷ مورد دیگر

Jakub Kuna is an Assistant Professor at the Department of Geomatics and Cartography, Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University (UMCS) since 2015. He earned his PhD in Earth Sciences (Geography) in 2017. His work bridges cartography, geomatics, and historical GIS. Key Roles: Researcher, Lecturer, Project Coordinator for NPRH grants Projects: Atlas historyczny miast polskich, DARIAH-PL, NCN Miniatura 4.0 Research Focus: He specializes in cartographic mathematics, spatial-temporal analysis, 3D/4D modeling, and geostatistical methods in R programming. His work advances Historical GIS for reconstructing urban landscapes and processing archival aerial imagery. Key Publications: His 2025 Scientific Reports paper on loess gully sustainability and 2024 ISPRS Journal methodology for multi-sheet historical map georeferencing highlight his technical contributions. Recent monographs include Zamość’s digital reconstruction in the Atlas historyczny miast polskich series. Scientific Awards: NPRH Grant (2023-2027): Leadership role in historical city atlas project European Funds (2021-2024): DARIAH-PL digital infrastructure NCN Miniatura Grant (2020-2021): Pioneering 1944 Lublin orthophotomap Academic Leadership: He supervises 18 MA/BA theses on topics like Lublin’s WWII urbanism and Shtetl Routes tourism. As Deputy Chair of the Polish Cartographic Association (2024) and ICA member (2021-), he shapes national cartographic standards.

• LIDAR technology
• Point cloud analysis
• Big data algorithms
• +۹ مورد دیگر

Adrian Widłak is a Teaching Assistant at the Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology. His research focuses on information and communication technology (ICT) with specialization in point cloud analysis, visibility mapping, and network security. Specializes in LIDAR technology and Digital Surface Model (DSM) processing for viewshed generation Conducts research in big data algorithms, cryptography, and artificial intelligence Active in edge computing optimization and intelligent transportation systems His work spans multiple interdisciplinary domains including environmental monitoring, biomedical applications, and blockchain security. Recent publications demonstrate a focus on: 3D spatial analysis techniques using point cloud data Machine learning applications in ecological modeling Cybersecurity challenges in modern network architectures Optimization of edge computing infrastructures Blockchain consensus mechanisms and security frameworks

• Computer Architecture
• Vector Processors
• GPU Microarchitecture
• +۹ مورد دیگر

Roger Espasa Sans is a senior academic and researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Architecture. He has made significant contributions to computer architecture, particularly in vector processing, GPU design, and performance optimization. Universitat Politècnica de Catalunya (UPC) Faculty of Informatics of Barcelona (FIB) Department of Computer Architecture His research focuses on advanced computer architecture, including vector and superscalar processors, memory systems, instruction-level and data-level parallelism, GPU microarchitecture, and performance modeling. His work bridges theoretical design and practical implementation, especially in high-performance and embedded systems. The recent articles highlight a strong trend in GPU and shader optimization, memory redundancy elimination, and performance modeling. His publications span prestigious venues such as IEEE Microarchitecture Symposium, IEEE HPCA, and The Visual Computer, indicating sustained impact in the field of computer systems and architecture. Premiada (Awarded activity) Roger Espasa Sans has advised several doctoral students, including Manel Fernandez Gomez and Francisca Quintana Domínguez, contributing to the next generation of computer architects. His collaborative network is extensive, involving key figures like Mateo Valero and international institutions. While specific grants are not listed, his prolific output suggests sustained funding. He has contributed to major research groups such as CAP (High Performance Computing Group). He is a core member of the CAP - Grup de Computació d'Altes Prestacions (High Performance Computing Group), and has also been associated with PM - Programming Models and ARCO - Microarchitecture and Compilers. His work often involves simulation frameworks like JINKS and Asim, indicating a strong focus on performance evaluation and modeling.

Stephanie Andrewsمشاهده پروفایل

مدرس

• Virtual Reality
• 3D Graphics
• Digital Media Art
• +۶ مورد دیگر

Ms. Stephanie Andrews is a Lecturer and Program Manager for the Masters of Animation, Games, and Interactivity (MAGI) at RMIT University's School of Design. She holds a PhD in Virtual Reality (VR) and has a career spanning art, technology, and academia. Previously, she was a Technical Director at Pixar, led curriculum innovation at the University of Washington's DXARTS program, and served as Creative Director at Liminal, a VR and neuroscience company. Her research focuses on stereoscopic spatial hacking in VR, 3D graphics, and user experience design. She has received over $300,000 in grants for stereoscopic research and exhibited internationally in Australia, Iceland, the UK, and the USA. Education: PhD in VR creation, Technical Director experience at Pixar, and leadership roles in academic programs. Her work blends art and tech through interactive installations, digital media, and educational initiatives. Research interests include immersive VR experiences, spatial perception, and experimental art forms. She co-founded companies for the metaverse and 3D printing sectors, showcasing her entrepreneurial spirit. Recent projects include Existential Crisis (2024), an interactive VR artwork exploring embodiment, and Citizen Tree , presented at ISEA2024. Awards/Grants: Secured $300k+ USD in stereoscopic research grants and established a groundbreaking audio-video suite at the University of Washington. Service: Jury member for ISEA2024's art exhibition selection. Labs/Teams: Center for Digital Art and Experimental Media (DXARTS), Liminal VR.

Murali Subbaraoمشاهده پروفایل

استاد

• Computer Vision
• Digital Image Processing
• 3D Medical Imaging
• +۳ مورد دیگر

Professor Murali Subbarao is a faculty member in the Department of Electrical and Computer Engineering at Stony Brook University, part of the State University of New York. He holds a B.Tech. from the Indian Institute of Technology Madras and M.S. and Ph.D. from the University of Maryland, College Park. His research focuses on Computer Vision, Digital Image Processing, and 3D Medical Imaging, with significant contributions to techniques like Depth-from-Defocus and medical imaging systems. He has authored over 50 papers, 9 U.S. patents (4 licensed), and supervised over a dozen Ph.D. students. His work includes patents on MRI and SPECT imaging, and he has led research grants from NSF and industry. Previously, he co-founded a startup for online image management. His research emphasizes practical applications in computer vision and medical technologies. Education: B.Tech. in Electrical Engineering, IIT Madras M.S. and Ph.D. in Computer Science, University of Maryland Research Interests: Computer Vision Medical Imaging (MRI, SPECT) Image Processing Algorithms 3D Reconstruction Techniques Grants & Patents: Principal Investigator of NSF and industry grants 9 U.S. patents on medical imaging and vision systems (4 licensed) Advisees: Guided 13 Ph.D. students, including Dr. Lu, Dr. Choi, and Dr. Park

Morgan Konnestadمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer-Aided Design
• Motion Capture Technology
• +۵ مورد دیگر

Morgan Konnestad is an Associate Professor in the Department of Information and Communication Technology at the University of Agder's Faculty of Technology and Natural Sciences. He has been employed full-time at UiA since January 1, 1989, and holds a Master's degree in Marine Technology from NTNU with a focus on Computer-Aided Design and additional coursework from the ICT department. His career spans over three decades of dedicated service to the university, with significant contributions to multimedia education and technology. Education Background: Master of Science in Marine Technology from NTNU (Computer-Aided Design focus) Additional coursework from NTNU's Department of ICT University Pedagogics Program completed at UiA in 2006 Konnestad's research interests center on visual computing technologies and their educational applications. He has been responsible for Computer Graphics and CAD courses since joining UiA, later expanding into Video, DVD/Blu-ray Authoring, and e-learning material production. His work demonstrates a consistent focus on practical applications of digital media technologies in educational contexts, with particular emphasis on motion capture systems, 3D visualization, and emerging AR/VR technologies. He has developed numerous multimedia production techniques specifically tailored for academic use and student learning. Analysis of his recent publications (2014-2023) reveals a strong trajectory toward immersive technologies and collaborative learning environments. His work increasingly focuses on motion capture applications, AR/VR implementations in education, and interactive systems for specialized training. The publications show a clear evolution from technical demonstrations of multimedia capabilities toward research-oriented investigations of how these technologies enhance learning outcomes and professional training, particularly in emergency management contexts. Academic Supervision: Assistant supervisor for Maurice Isabwe's PhD completed in 2013 Konnestad actively contributes to the university's outreach efforts through numerous presentations at open house events, high schools, and educational institutions. He has been instrumental in demonstrating UiA's Motion Capture Laboratory capabilities, providing hands-on experiences that showcase the practical applications of multimedia technology. His work bridges academic research with real-world implementation, particularly through collaborations with regional businesses and emergency management stakeholders. Laboratory Focus: Konnestad has been a driving force behind UiA's Motion Capture Laboratory, developing demonstration protocols and practical applications that support both educational and research objectives. His work with this facility has enabled innovative approaches to multimedia production, 3D visualization, and interactive learning environments.

• Virtual Reality
• Serious Games
• Human-Computer Interaction
• +۴ مورد دیگر

Helmut Hlavacs is a Professor at the University of Vienna's Faculty of Computer Science, with a distinguished career spanning over two decades in virtual reality, serious games, and human-computer interaction research. His work bridges computer science with psychological and medical applications, particularly in therapeutic contexts for children and adolescents. Dr. Hlavacs' research interests focus on virtual reality applications for healthcare, serious game design for therapeutic purposes, and innovative human-computer interaction techniques. His work demonstrates particular expertise in applying game technologies to address psychological conditions, medical treatments, and educational challenges. He has made significant contributions to VR therapy systems for anxiety disorders, stress management, and pediatric oncology support. Analysis of his recent publications reveals a strong trend toward integrating machine learning with virtual reality systems, developing novel game interfaces, and creating therapeutic applications for mental health conditions. His work spans technical computer graphics research, behavioral psychology studies, and practical healthcare implementations, demonstrating remarkable interdisciplinary reach. Dr. Hlavacs has collaborated extensively with medical researchers, particularly with Anna Felnhofer and Oswald D. Kothgassner on VR therapy applications, and with Amir Zaib Abbasi on consumer gaming behavior studies. His research has resulted in numerous serious games for healthcare applications, including systems for cancer patients, anxiety treatment, and vaccination communication. His laboratory work appears focused on developing the INTERACCT system for remote data entry by young leukemia patients, MindSpace for treating anxiety disorders in children, and various VR environments for therapeutic applications. Current projects indicate a strong emphasis on AI-driven game behavior, VR editor tools, and mobile gamification for behavioral change.

• Algorithms
• Computational Geometry
• Wireless Communication
• +۴ مورد دیگر

Stefan Funke is a researcher at the University of Stuttgart, Germany, with a focus on algorithms and computational geometry. His work spans wireless communication, route planning, and trajectory analysis. Research Interests: Algorithms, Computational Geometry, Wireless Communication, Route Planning, Trajectory Segmentation His recent publications (2024-2025) explore topics like 3D epithelial cell dynamics, graph radius computation, and polyline simplification, emphasizing scalability and efficiency. Earlier works (2017-2019) investigate contraction hierarchies, energy-efficient routing, and trajectory storage systems. Stefan collaborates frequently with Sabine Storandt, Claudius Proissl, and Tobias Rupp. He applies geometric methods to problems in wireless networks, road systems, and data structures, with a recurring emphasis on optimization and robustness.

• Computer Vision
• Machine Learning
• Pattern Recognition
• +۶ مورد دیگر

Xiangyang Xue is a Professor at Fudan University in Shanghai, China, with an extensive research portfolio spanning computer vision, machine learning, and artificial intelligence. His work demonstrates significant contributions to object-centric representation learning, 3D reconstruction, person re-identification, and semantic segmentation. With over two decades of publication history from 1999 to present, he maintains an active research program with numerous collaborations, particularly with researchers like Yanwei Fu, Bin Li, and Yu-Gang Jiang. Professor Xue's research interests focus on advancing computer vision through innovative approaches to object-centric representation learning, 3D scene understanding, and multi-modal learning. His recent work explores the integration of large vision-language models with 3D understanding, diffusion models for data synthesis, and brain-inspired approaches to robotic scene understanding. His research bridges theoretical advances with practical applications in robotics, autonomous systems, and security. Analysis of his recent publications (2023-2026) reveals a strong trend toward multi-modal learning, with increasing integration of vision-language models, 3D understanding, and diffusion-based generation techniques. His work shows a progression from traditional computer vision problems toward more complex, embodied AI challenges that require understanding of both visual scenes and their semantic interpretations. Key themes include object-centric representations, cross-modal alignment, and the application of these techniques to robotics and security domains. Professor Xue has mentored numerous researchers through collaborative projects, with extensive co-authorship indicating a strong advising presence. His work spans multiple funding areas including NSF-supported research in computer vision, AI security, and robotics applications. His publications appear consistently in top venues including CVPR, ICCV, ECCV, AAAI, and IEEE TPAMI. His research group appears to focus on computer vision and machine learning, with particular emphasis on object-centric scene understanding, 3D reconstruction, and person re-identification systems. The team works at the intersection of theoretical computer vision and practical applications, with projects spanning autonomous driving, robotics, security systems, and human-computer interaction. Recent work suggests active exploration of large vision-language models and their integration with 3D scene understanding.

Chao Zhangمشاهده پروفایل

دانشیار

• Dielectrics
• Electrochemistry
• Electrolyte materials
• +۳ مورد دیگر

Chao Zhang is an Associate Professor at the Department of Chemistry-Ångström Laboratory, Uppsala University, specializing in computational electrochemistry and multi-scale modeling of electrolyte materials. His research bridges atomistic simulations with machine learning approaches to address challenges in energy storage and conversion systems. Education: Dr. rer. nat. from RWTH Aachen University (2013); Docent from Uppsala University (2020) Appointments: Postdoctoral researcher at the University of Cambridge (prior to joining Uppsala in 2017) His group develops finite-field methods for computational electrochemistry and investigates electrified solid-liquid interfaces. Recent research trends include neural rendering for underwater SLAM systems (2025), robust path-following control in marine robotics, and event-based localization in LiDAR-integrated environments. Scientific Awards: ERC Starting Grant (2020) Junior Research Fellowship, Wolfson College (2015) Jülich Excellence Prize for Young Scientists (2013)

• Embedded computer systems
• Real-time systems
• Technical cybernetics
• +۵ مورد دیگر

Kristian Muri Knausgård is a Lecturer at the Department of Engineering Sciences , University of Agder , Norway. He teaches courses in embedded systems, software development, and robotics. Current courses: MAS245 (Embedded Computer Systems), MAS417 (Software Development), MAS418 (Robotics Programming) Previous courses: MAS218 (Electrical Circuits), MAS234 (Embedded Systems) His research focuses on embedded systems , real-time systems , and technical cybernetics , with applications in artificial intelligence , computer vision , and systems engineering . He contributes to the university's research groups on Robotics and Automation and Systems Engineering and Modeling . Recent publications show a strong emphasis on: Autonomous systems (robotics, docking algorithms) Deep learning applications in marine ecology 3D reconstruction and computer vision techniques Fish detection/classification using neural networks Industrial automation for aquaponic systems His work bridges theoretical research with practical implementations in mechatronic systems and environmental monitoring.

Markus Tatzgernمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۳ مورد دیگر

Dr. Markus Tatzgern serves as Professor for Mixed Reality and Game Development and Head of Research at the Department for Creative Technologies, Salzburg University of Applied Sciences. He leads the Digital Realities Lab, a multi-disciplinary research group focused on human-centered solutions at the intersection of software, design, and creative engineering for technology interaction. His academic foundation includes a Master of Science and Doctorate with highest distinction from Graz University of Technology. He furthered his expertise through post-doctoral research at the Christian Doppler Laboratory for Handheld Augmented Reality, recognized as a world-leading facility in mobile AR. Tatzgern's research spans Augmented Reality, Virtual Reality, Mixed Reality, and Human-Computer Interaction with emphasis on practical applications. His work addresses critical challenges in view management, haptic feedback systems, industrial procedure visualization, medical imaging interfaces, and game development. Key contributions include novel techniques for eye-perspective rendering, breathing-based VR interaction, and latency compensation in medical robotics. His publication trajectory reveals evolving focus from foundational AR visualization (2010-2016) toward applied XR solutions in healthcare, industrial training, and user experience optimization (2017-2024). Recent work demonstrates increasing integration of physiological inputs, real-world safety applications, and enterprise-grade XR prototyping. Scientific recognition includes: Honorable Mention for Best Paper at CHI 2022 for 'AirRes Mask' breathing interface Honorable Mention for Best Paper at IEEE 3DUI 2017 for adaptive rendering techniques As Head of Research, Tatzgern actively shapes the field through program committee roles and peer review for top venues including ACM CHI and IEEE VR. His four patents in AR visualization demonstrate translational impact from academic research to practical applications. The Digital Realities Lab operates as an innovation hub where software engineers, designers, and creative technologists collaborate on next-generation interaction paradigms. Current projects emphasize medical XR applications, industrial training systems, and accessibility-focused AR solutions for vulnerable populations.