جستجوی استاد راهنمای دانشگاهی

Reinhold Preinerمشاهده پروفایل

پژوهشگر

• 3D Computer Graphics
• Visualization
• Geometry Processing
• +۳ مورد دیگر

Reinhold Preiner is a Senior Researcher at the Institute for Computer Graphics and Knowledge Visualization, part of the Faculty for Computer Science and Biomedical Engineering at TU Graz. He holds a PhD from TU Wien (2017) focused on dynamic and probabilistic point-cloud processing. His research emphasizes 3D graphics, geometry processing, and cultural heritage digitization. Current projects include Open Reassembly (fragment assembly for archaeological artifacts) and VR4CPPS (virtual reality in production systems). Education: PhD in Computer Science, TU Wien (2017) Dipl.-Ing. (MSc equivalent) in Computer Science, TU Wien Research Interests: Probabilistic geometry processing, interactive visualization, cultural heritage preservation through digital methods, and VR applications. Recent work includes thermal conduction modeling in astrophysical systems and crowd simulation algorithms. Projects & Grants: FWF Research Group A+CHIS (Cultural Heritage Informatics) Collaborative projects with Fraunhofer Institute Labs/Teams: Leads the Visual Computing group at TU Graz, collaborating with international partners on cultural heritage digitization and VR solutions.

• Computer Vision
• Deep Learning
• Biomedical Signal Processing
• +۴ مورد دیگر

David Fuentes Jiménez is a Researcher at the Department of Electronics, Universidad de Alcalá, Spain. He is affiliated with the GEINTRA research group focusing on Electronic Engineering applied to Intelligent Spaces and Transport. His doctoral thesis (2021) explored deformable object reconstruction using deep learning techniques, supervised by Dr. Daniel Pizarro Pérez. His research spans computer vision, biomedical signal processing, and smart environments. Key research interests include neural radiance fields in surgery, photoplethysmographic signal dynamics for physiological assessment, and real-time action recognition using depth data. He has contributed to EU projects like GEMS through sensory module development (Ruby). His work integrates deep learning with 3D reconstruction, wearable sensors, and overhead camera systems. Publications highlight innovation in medical imaging, stress detection via PPG signals, and robust people detection algorithms. His work frequently appears in top venues, showcasing interdisciplinary approaches between computer science, biomedical engineering, and robotics. Active in open datasets like GOTPD1, he bridges theory and practical applications in smart spaces and healthcare technology. Education: PhD in Electronics Engineering (2021), Universidad de Alcalá Labs/Teams: GEINTRA Group

Raffaele De Amicisمشاهده پروفایل

دانشیار

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۷ مورد دیگر

Raffaele De Amicis is an Associate Professor at the School of Electrical Engineering and Computer Science , Oregon State University. With a PhD in Industrial Engineering from the University of Bologna (2001) and a professional engineering license (1997), he bridges technical expertise with immersive technology applications. His career spans roles at Fraunhofer Institute (1999-2002), founding directorship of GraphiTech in Trento, Italy, and consulting professorship at the University of Trento (2003-16). Degrees: Ph.D., Design and Methods of Industrial Engineering, University of Bologna M.S., Mechanical Engineering, University of Calabria Professional Engineer License, Italian Charter Research focuses on Virtual Reality , Augmented Reality , and Human-Computer Interaction , particularly for industrial training, geospatial visualization, and educational applications. His work on digital twins, immersive engineering instruction, and XR-based disassembly systems demonstrates interdisciplinary impact. Scientific contributions include over 120 publications, three books, and 15 edited texts. Key projects involve VR safety training for confined spaces, AI-augmented AR guidance, and forest digital twin frameworks. Articles span 2012-2025, emphasizing 3D visualization , multimodal interfaces , and smart manufacturing . Scientific Leadership: Vice-President, GraphicsMedia.net (2010-present) Project Coordinator for EC/NATO/industry grants (€20M total) Founder, GraphiTech Research Center His expertise in multinational research coordination and technology transfer has shaped collaborations across Europe, with applications in forestry, urban planning, and hazardous environment training.

• Data Visualization
• Scientific Visualization
• Computer Graphics
• +۶ مورد دیگر

João Luiz Dihl Comba is a Professor at the Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. With a PhD in Computer Science from Stanford University (1993-2000) under advisor Leonidas J. Guibas, he has established himself as a leading researcher in visualization and computer graphics. His academic journey includes a M.Sc. in Systems Engineering and Computing from UFRJ (1988-1991) and a B.Sc. in Computer Science from UFRGS (1983-1987), along with a sabbatical at the University of Utah (2010-2011). Comba's research focuses on data and scientific visualization, visual analytics, computer graphics, and their applications in medical imaging, sports analytics, and pandemic response. His work bridges theoretical advances in multidimensional projections with practical applications in healthcare, oil and gas, and digital twins. Recent publications demonstrate his continued leadership in applying machine learning techniques to visualization problems, particularly in biomedical contexts. His publication record spans over three decades with consistent output through 2025, showing evolution from foundational computer graphics work to contemporary applications of AI in visualization. The publications reveal strong collaborations with researchers across Brazil and internationally, with particular emphasis on solving real-world problems through visual analytics. As an advisor, Comba has mentored numerous graduate students who have become active researchers in visualization and computer graphics, with several continuing to collaborate with him on publications. His research group at UFRGS appears to be particularly strong in medical visualization applications, as evidenced by multiple recent publications related to COVID-19 analysis and medical image processing.

• Human Computer Interaction (HCI)
• Virtual and Augmented Reality
• Gamification Technology
• +۵ مورد دیگر

Professor Manolya Kavakli-Thorne is a distinguished academic at Aston University, holding dual appointments as Professor of Gamification and Simulation Technology in the College of Engineering and Physical Sciences and the Digital Futures Institute. Her interdisciplinary research spans Human-Computer Interaction (HCI), Virtual/Augmented Reality, and Mixed Reality Systems. Currently supervises 3 PhD students and advises 2 others at Aston University, with prior mentorship of 119 postgraduate students. Total research grants exceed £18.1 million, including major projects like the EU-funded Nexus (€392K) and UKRI Diatomic Accelerator (£8M). Her research focuses on applying gamification to emergency management, cybersecurity, and healthcare. Notable achievements include establishing the first Virtual Reality Lab in Sydney (2005) and the Virtual Production Studio in Canberra (2022). Awards include the 2022 Best Paper Award (IEEE) and multiple top-tier conference recognitions. She has authored over 240 refereed papers and pioneered facilities like CEPET (2015) and SIGMA research groups. Professional roles include Guest Editor for Algorithms (2024) and editorial board memberships across 15+ journals. Her work bridges academia and industry through collaborations with institutions like Birmingham City Council and the ACT Government.

Eric Pattersonمشاهده پروفایل

دانشیار

• Computer Graphics
• Visual Computing
• Computer Vision
• +۱۲ مورد دیگر

Eric Patterson, Ph.D., is an Associate Professor in Visual Computing at the School of Computing, Clemson University, where he also serves as the Director of the Digital Production Arts (DPA) program. His academic and research work bridges computer science, digital arts, and engineering, with a strong emphasis on visual technologies and creative computation. His research interests span a wide array of topics including physically based material capture and rendering, 3D human face modeling, photogrammetry, computer vision, machine learning in graphics, game development, digital cinematography, and computational arts. These interests reflect an interdisciplinary approach that integrates technical computing with artistic production. The breadth of his work is reflected in the diverse range of courses he has taught, from foundational programming and data structures to advanced topics in rendering, visual effects, technical art direction, and digital production studio. His teaching spans both Clemson University and the University of North Carolina Wilmington (UNCW), where he previously taught courses in computer science, digital media, and film production. Dr. Patterson is affiliated with several key initiatives at Clemson, including the Digital Production Arts program, the Visual Computing Faculty group, and the Charleston Innovation Campus. These affiliations highlight his role in fostering interdisciplinary education and innovation in digital technologies. No scientific awards listed in the provided text. While no formal list of advisees or research grants is provided, his leadership of the DPA program suggests active involvement in student mentorship and collaborative research. He has led seminars on acquiring real-world data for computer graphics, machine learning in graphics, and human face modeling, indicating an ongoing engagement with cutting-edge research topics. He is involved in research related to visual computing and digital production methods, with potential applications in simulation, entertainment, and human-computer interaction. Though no specific lab name is mentioned, his work is closely tied to the Visual Computing research group and the Digital Production Arts program at Clemson University.

Marcus Magnorمشاهده پروفایل

استاد

• Computer Graphics
• Computer Vision
• Visual Perception
• +۶ مورد دیگر

Prof. Marcus Magnor is a full Professor of Computer Science at Technische Universität Braunschweig (TU Braunschweig), leading the Computer Graphics Lab. He also holds an adjunct professorship in Physics and Astronomy at the University of New Mexico, USA. His academic journey includes a BA in Physics from Würzburg University (1995), an MS from the University of New Mexico (1997), and a PhD in Electrical Engineering from Erlangen University (2000). He completed his habilitation in Computer Science at Saarland University in 2005, earning the venia legendi qualification. His research focuses on visual computing, encompassing image formation, analysis, synthesis, and perception. Key areas include computer graphics, vision, computational photography, astrophysics visualization, and optics. He has pioneered work in multi-view video coding, free-viewpoint video, and planetary nebulae reconstruction. Prof. Magnor has organized over 20 international conferences and workshops, including VMV 2023 and the Symposium on Visual Computing and Perception. He serves on editorial boards for journals like Computer Graphics Forum and has held leadership roles such as CS Department Chair at TU Braunschweig (2015–2019). Awards include the Wissenschaftspreis Niedersachsen and recognition as a Fulbright Scholar. His outreach includes popular science lectures on topics like digital image manipulation and 3D cinema technology.

• Computer Graphics
• Virtual Cinematography
• Automated Camera Control
• +۴ مورد دیگر

Christophe Lino is a Faculty Lecturer (PRAG) at Nantes University's Computer Science Department, affiliated with the Image Perception Interaction (IPI) research group. Previously, he held roles including Assistant Professor (ATER) at Nantes and Rennes Universities, postdoctoral researcher at Inria, and R&I Engineer at Télécom Paris/IP Paris. He earned a PhD in Computer Science (2013) and a MS in Visual Computing (2009). His research focuses on virtual cinematography, automated camera control, lighting techniques, and 3D animation. Notable contributions include the Toric Space representation for camera control (SIGGRAPH 2015), real-time cinematography systems, and drone cinematography algorithms. He has been recognized with the 'Best Innovation of the Year' Genie Award (2017) and ANR pioneering grants. Current projects include work on automated video summarization, inverse rendering, and collaboration with Adobe and Technicolor. His ToricCam library, released under GPL, provides tools for implementing camera control algorithms.

Larry Davisمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Visual Surveillance
• +۵ مورد دیگر

Larry Davis is a Professor in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS) at the University of Maryland. He is affiliated with the Computer Vision Laboratory of the Center for Automation Research, where he previously served as head from 1981-1986. His research focuses on visual surveillance, human movement analysis, and advanced computer vision systems such as the Keck Laboratory for the Analysis of Visual Movement. Established in 1998, the Keck Lab uses a 64-camera array to study 3D human motion tracking and shape recognition. His work spans projects like codebook-based background subtraction for surveillance and clothing appearance models for persistent tracking. He leads interdisciplinary research on laser beam propagation through atmospheric turbulence and has secured significant grants, including a $4M Multidisciplinary Research Initiative contract. His recent publications emphasize AI-driven solutions for media forensics, generative models, and adversarial attacks on vision systems. Research contributions include innovations in neural rendering (FlexNeRF), personalized clothing compatibility frameworks, and systems for detecting deepfakes and video tampering. His work bridges theoretical advancements with real-world applications in security, healthcare, and retail technology.

• Crowd Simulation
• Motion Planning
• Game Technology
• +۴ مورد دیگر

Roland Geraerts is an Associate Professor in the Department of Information and Computing Sciences at Utrecht University, specializing in geometric computing and crowd simulation. His research focuses on motion planning, navigation meshes, and high-performance computing for virtual environments. He co-founded the annual Motion in Games conference and the startup uCrowds, which develops crowd simulation software (SimCrowds) used in urban planning and emergency management. Education: He teaches a master's course on crowd simulation and serves as program director for the Computer Science bachelor's program. His PhD research (2006) centered on sampling-based motion planning and path quality optimization. Research Interests: His work spans crowd behavior modeling, augmented reality interfaces, and real-time simulation engines. Notable projects include the CrowdAR Table for interactive crowd visualization and collaboration with Schiphol Airport and Rotterdam on evacuation simulations. Articles Trends: His publications emphasize practical applications of algorithms in game development, emergency planning, and urban design. Recent work explores reinforcement learning for social distancing simulations and multi-layered environment navigation. Scientific Awards: Winner of the 2020 Academic Startup Competition (uCrowds). Impact & Grants: Member of the Faculty of Science Impact Committee, contributing to long-term policy and vision for computer science applications. Collaborative projects include simulations for the Dutch parliamentary elections and the Tour de France Grand Départ. Labs/Teams: Leads the Geometric Computing group at Utrecht University, developing the SimCrowds platform and AR interfaces for real-time crowd interaction.

• Computer Graphics
• Extended Reality (XR)
• Virtual Reality (VR)
• +۱۲ مورد دیگر

Alberto Cannavo' is a fixed-term Assistant Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino. He is affiliated with the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. His research and teaching focus on computer graphics, extended reality, and immersive technologies. His research interests include: Extended Reality (XR), Virtual and Augmented Reality Digital Twin and Metaverse technologies Information Visualization and Visual Analytics Immersive simulations for training and social interaction Interactive 3D visualization and multimedia systems His recent publications highlight work on Metaverse architectures, virtual fitting rooms, and immersive training simulations. These contributions span journals such as Virtual Reality & Intelligent Hardware and IEEE Computer Graphics and Applications , as well as IEEE VR workshops. The research demonstrates a strong trend toward applied XR systems, human-centered design, and real-world deployment in education, training, and industry. Scientific contributions and leadership include: Scientific Manager of commercial research projects on VR training for NATO procedures (CBRN-MED, RECCE) Lead on prototyping functional test system interfaces Inventor of the national software patent VR 4 CBRN TRAINING Active participation in IEEE VR workshops as editor and contributor He supervises PhD students Roberta Macaluso and Alessandro Visconti, whose work focuses on socially engaged virtual environments and digital twins in the Metaverse. He teaches courses such as Information Visualization and Visual Analytics (PhD), Computer Graphics (Master’s), and Algorithms and Programming (Bachelor’s). He is a member of the GRAINS research group and the VR@POLITO laboratory, both central to his interdisciplinary work in intelligent graphics systems.

Eugene Zhangمشاهده پروفایل

استاد

• Computer Graphics
• Scientific Visualization
• Information Visualization
• +۷ مورد دیگر

Eugene Zhang is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University. He holds a Ph.D. in Computer Science from the Georgia Institute of Technology and has been recognized with the NSF CAREER Award. His research is centered on computer graphics, scientific visualization, and geometric modeling, with applications in medical imaging, simulation, and artistic rendering. Ph.D., Computer Science, Georgia Institute of Technology, 2004 M.S., Computer Science, Ohio State University, 1995 M.S., Mathematics, Ohio State University, 1994 His research interests include computer graphics, scientific visualization, information visualization, and geometry processing. He pioneers work in vector and tensor field design, enabling more expressive and controllable visual content. His projects often involve interdisciplinary collaborations, helping scientists interpret complex data such as fluid dynamics, stress fields, and geophysical simulations. He also explores non-photorealistic rendering inspired by traditional Chinese art. The recent publications highlight a consistent trend in topological analysis of tensor and vector fields, scalable hypergraph visualization, and interactive design of complex geometric structures. His work frequently appears in IEEE VIS and SIGGRAPH venues, reflecting strong contributions to both foundational algorithms and applied visualization techniques. NSF CAREER Award (2006) Apprentice for Science and Engineering 10-Year Service Award (2018) Eugene Zhang has advised numerous Ph.D. and M.S. students, many of whom have gone on to careers in industry (e.g., Adobe, Amazon, Facebook, NVIDIA, Zoox) and academia. He is currently leading an NSF-funded project (IIS-2437424) on time-varying symmetric tensor fields. He collaborates closely with Dr. Yue Zhang on reading groups focused on graphics and simulation topics. He leads a research group focused on computer graphics and visualization, hosting regular reading sessions and mentoring graduate students in cutting-edge visualization techniques.

Primo Zingarettiمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Neural Rendering
• +۵ مورد دیگر

Primo Zingaretti serves as a Full Professor in the Department of Information Engineering at Marche Polytechnic University's School of Engineering. His academic position focuses on information processing systems within the IINF-05/A scientific sector, maintaining an active research profile with publications extending into 2025. Contact information shows his office is located at via Brecce Bianche in Ancona, Italy, with professional correspondence handled through p.zingaretti@univpm.it. Zingaretti's research spans multiple cutting-edge domains where artificial intelligence intersects with practical applications. His primary focus areas include neural rendering for cultural heritage preservation and fashion technology, augmented reality systems development, and computer vision applications in retail environments. His work demonstrates strong interdisciplinary connections between engineering, cultural studies, and commercial applications. The research portfolio shows particular emphasis on ethical considerations in AI deployment, especially for heritage preservation and creative industries. Analysis of his recent publications reveals a clear trajectory toward practical AI implementations. His 2024-2025 work shows increasing focus on real-time rendering efficiency, ethical frameworks for extended AI, and specialized applications in retail monitoring and cultural heritage protection. The publications demonstrate consistent methodological rigor with strong emphasis on neural network optimization and practical system deployment, particularly in the Italian context including Marche region heritage sites. Zingaretti has developed significant research infrastructure including the open-source DeepReality framework for AI-based AR applications and the SIGNIFICANCE platform for combating cultural heritage trafficking. His work bridges academic research with commercial applications, particularly in retail technology where his shelf monitoring systems and shopper behavior analysis tools show direct industry relevance. Current projects indicate active development in neural rendering systems for fashion design and context-aware generative AI for XR environments.

Nuno Fachadaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Modeling and Simulation
• +۴ مورد دیگر

Nuno Fachada is an Assistant Professor at Lusófona University's School of Communication, Arts and Information (ECATI) and a researcher at COPELABS (Cognitive and People-centric Computing). He teaches Programming and AI in the Videogames Bachelor's program and Research Software in the Informatics PhD program, with research spanning Artificial Intelligence, Machine Learning, Modeling and Simulation, High Performance Computing, and Computer Science Education. His work integrates computational methods with applications in game development, wildfire management, and networking. Education: Bachelor's degree in Electrical and Computer Engineering from IST (2005) Master's degree in Electrical and Computer Engineering from IST (2008), focusing on immune system simulation PhD in Electrical and Computer Engineering from IST (2016) with thesis 'Agent-Based Modeling on High Performance Computing Architectures', awarded 'Pass with Distinction and Honour' Research interests emphasize Agent-Based Modeling for complex systems like wildfires and immune responses, Particle Swarm Optimization algorithms, and OpenCL for parallel computing. He develops educational tools for game development curricula and applies AI to environmental monitoring and wireless networks, with strong output in simulation frameworks and human-centric computing. Recent publications (2024-2025) reveal three dominant trends: wildfire modeling using satellite data and agent-based approaches, large language models for engineering code generation (e.g., LoRaWAN), and game AI for procedural content and rehabilitation. His work bridges theoretical computer science with practical applications in environmental science and healthcare, while maintaining focus on education through tools like TextCL and cf4ocl. Scientific Awards: No scientific awards, fellowships, or medals were mentioned in the provided text Advising and Grants: Fachada serves as a researcher in ILIND-funded projects, notably the 'Cybersecurity Awareness Training Simulator' (2024-2025) with six collaborators. He supervises PhD students in Informatics but specific advisees aren't listed. His grant activity primarily involves institutional projects through Lusófona University's research center, with emphasis on simulation-based tools for real-world applications. Labs and Teams: He is a core researcher at COPELABS, focusing on cognitive and people-centric computing projects including wildfire simulation and cybersecurity training. Prior to Lusófona, he conducted postdoctoral work at LaSEEB/ISR (Institute for Systems and Robotics), maintaining connections to IST. His team collaborations span international researchers in environmental modeling and AI, with recent projects involving Portuguese and European institutions.

Karol Myszkowskiمشاهده پروفایل

استاد

• Realistic Image Synthesis
• Global Illumination
• High Dynamic Range Imaging
• +۷ مورد دیگر

Karol Myszkowski is a Professor in the Department of Computer Graphics at the Max Planck Institute for Informatics in Saarbrücken, Germany. His research spans realistic image synthesis, high dynamic range imaging, and perception issues in computer graphics. He leads a research group that investigates the intersection of human visual perception and computer graphics techniques to develop more realistic rendering solutions. Institution: Max Planck Institute for Informatics Department: Computer Graphics (Department 4) Location: Campus E1 4, Room 229, Saarbrücken, Germany His research interests focus on realistic image synthesis and global illumination, high dynamic range imaging techniques, stereo 3D visualization, eye tracking applications, computational displays, appearance fabrication, and perception issues in computer graphics. He investigates how human visual perception interacts with rendering techniques to create more efficient and realistic graphics solutions for virtual and augmented reality applications. Recent publications (2023-2025) show a strong trend toward neural rendering techniques, particularly for high dynamic range content processing and generation. His work increasingly integrates deep learning approaches with traditional computer graphics methods, focusing on perception-guided solutions that optimize visual quality according to human visual system characteristics. Key areas include HDR image/video processing, neural radiance fields, image/video deblurring, and multisensory perception studies. Current PhD Students: Martin Bálint, Daniel Jiménez Navarro Former PhD Students: 17 including Mojtaba Bemana, Chao Wang, and Krzysztof Wolski Current Postdoc: Colin Groth Former Postdocs: 11 including Gurprit Singh and Bin Chen His research group collaborates extensively within the Max Planck Institute for Informatics and with other international institutions. The team focuses on bridging the gap between computer graphics techniques and human visual perception, developing novel methods for realistic image synthesis, high dynamic range imaging, and perception-aware rendering solutions for virtual and augmented reality applications.