جست‌وجوی استاد و پژوهشگر

• Virtual Reality
• Multimedia Systems
• Network Protocols
• +۷ مورد دیگر

Mario Montagud Climent is a researcher at Centrum Wiskunde & Informatica (CWI) , focusing on virtual reality (VR), extended reality (XR), and multimedia systems. His work bridges network protocols, human-computer interaction, and immersive technologies. Key contributions: Multi-party holographic meetings, Edge rendering architectures, and XR quality of experience (QoE) optimization Collaborations: Sergi Fernández, Pablo César, Gianluca Cernigliaro, and other international experts in VR/XR Research spans network programmability for adaptive XR, holographic communications , and explainable AI for spatial audio analysis. Publications highlight QoE assessment and low-cost immersive solutions . Recent articles address real-time multiuser systems, neural 3D reconstruction for UAVs, and 6G federation concepts. His work integrates 5G/6G technologies with applications in cultural heritage and social VR.

Christine Jungمشاهده پروفایل

مدرس

• 3D Art for Games
• Technical Art
• Real-time Rendering
• +۵ مورد دیگر

Christine Jung serves as a Lecturer at the University of Miami, specializing in interactive media and digital creativity. Her work bridges artistic innovation with technological advancement through the Virtual Experiences Simulation Lab (VESL), where she mentors students in cutting-edge virtual experience development. Her academic foundation includes a Master in Entertainment Technology from Carnegie Mellon University and dual Bachelor’s degrees in Art & Technology and Psychology from Sogang University. Jung’s research emphasizes multidisciplinary digital art production, focusing on 3D game art, real-time rendering, and the convergence of AI with creative workflows. She explores look development techniques and immersive AR/VR/XR experiences to create media that educates and entertains diverse audiences. Her award-winning projects demonstrate industry impact: SONA Immersive Storytelling Festival showcase – Flow (2025) SXSW Innovation Awards Showcase and Finalist – Flow (2025) Communication Arts Interactive Competition Winner – Flow (2025) Shenzhen Immersive Experience Exhibition Premier Showcase (2024) Hanwha Blockchain Hackathon 1st Place (2021) University of Miami AI-enhanced Education Grant As a mentor at VESL, Jung guides students in 3D art and UI/UX design for experimental virtual projects, leveraging her industry experience from Universal Creative and hackathon successes. Her teaching integrates production-tested methodologies in Autodesk Maya, Substance Painter, and emerging AI tools. The Virtual Experiences Simulation Lab serves as her primary research hub, fostering collaborative exploration of immersive media boundaries through student-led experimental projects.

Florence Tupinمشاهده پروفایل

استاد

• Synthetic Aperture Radar (SAR)
• Image Processing
• Deep Learning
• +۳ مورد دیگر

Florence Tupin is a Professor at Télécom Paris (Institut Polytechnique de Paris) and head of the Image, Data, Signal department. She leads the IMAGES research team at LTCI Laboratory, focusing on advanced SAR image processing, deep learning applications in remote sensing, and 3D reconstruction for earth observation. Her work bridges theoretical models and large-scale geospatial data exploitation. Her research integrates statistical modeling , non-local filtering , and deep neural networks to address challenges in SAR despeckling, tomographic imaging, and multi-temporal analysis. She directs projects like ANR ASTRAL (2022-2025) and ALYS (2015-2021), developing open-source tools such as MuLoG and MERLIN for the remote sensing community. Publication analysis reveals dominant themes: deep learning-driven SAR restoration (45%), 3D reconstruction (25%), multi-temporal change detection (20%), and polarimetric analysis (10%). Her group consistently pioneers self-supervised methods for resource-efficient remote sensing. Awards & Recognition: IEEE Geoscience and Remote Sensing Society Distinguished Achievement (2025) Advising & Grants: Directs 9 PhD students and 4 postdocs; secured €2M+ funding (ANR, CNES, CEA). Recent PhDs focus on deep learning for SAR tomography, multi-modal fusion, and Arctic monitoring. Leads Futur & Rupture initiatives on forest biomass estimation. Labs & Teams: Heads the IMAGES team (20 researchers) at LTCI Laboratory. Collaborates with CNES, CEA, and international partners (Wuhan University, Arctic University of Norway) on satellite data exploitation.

• Artificial Intelligence
• 3D Scene Reconstruction
• Simultaneous Localization and Mapping (SLAM)
• +۳ مورد دیگر

Yiming Zhou is a researcher at Saarland University of Applied Sciences (htw saar) in Saarbrücken, Germany. Their work spans multiple engineering domains with emphasis on artificial intelligence integration, 3D scene reconstruction, and advanced imaging techniques. Contact: yiming.zhou@htwsaar.de Location: Goebenstraße 40, 66117 Saarbrücken Research Focus Zhou's research explores cutting-edge technologies in: AI applications for non-destructive evaluation Dynamic SLAM systems for robotics Next-generation 3D reconstruction methods Multimodal deception detection frameworks Novel Gaussian splatting techniques Semantic encoding for spatial data Recent Publications Trends Their scholarly output reveals a trajectory toward Real-time spatial mapping solutions Hybrid neural-implicit representations CAD-integrated building documentation AI-enhanced image translation pipelines Signal processing innovations Cross-modal data fusion Laboratory Affiliation Zhou contributes to the faculty laboratories at htw saar, focusing on engineering research through practical implementations and algorithm development.

• Open Source Software
• Software Engineering
• Embedded Systems
• +۵ مورد دیگر

Henrik Gustavsson is a Senior Lecturer at the University of Skövde within the School of Informatics . He actively contributes to research in software engineering, open source ecosystems, and sustainable digitalization, and teaches courses at both bachelor's and master's levels. Contact details include email henrik.gustavsson@his.se and phone +46 500-448323. Research Projects: 2019 study on GitHub-based assessment in software education, 2005-2007 work on XMI model interchange between proprietary and open-source tools, and the 2021-2023 OSSD project developing a master's program for sustainable digitalization through open systems. Conference Participation: Active since 2005 at venues like OpenSym, ICSM, SIGRAD, and EMMSAD. Collaborations: Frequent co-author with researchers like Björn Lundell, Brian Lings, and Anna Persson across software maintenance, open source adoption, and embedded systems modeling. Publications Trend: Focus on open source integration, model-driven development, and educational innovation in software engineering. Subfields highlight XMI standardization, GitHub data utilization, and toolchain interoperability challenges. Teaching Activities: Coordinates multiple 7.5-credit courses and delivers lectures on software engineering fundamentals, open systems, and digital transformation.

• Adaptation across media
• Playwriting
• Radio drama
• +۳ مورد دیگر

Lucy Gough is a Creative Research Fellow in Script Writing at Aberystwyth University's Department of Theatre, Film, and Television Studies, with a distinguished career spanning over three decades as a professional playwright across theatre, radio, and television. Her work bridges academic research and industry practice through commissioned projects with major broadcasters and theatre companies. Gough holds a BA Hons in Drama from Aberystwyth University (1985) and an MA in Playwriting from the University of Birmingham. Her academic journey includes professional commissions from BBC Radio 3, Channel 4's Hollyoaks (for which she wrote regularly over ten years), and international theatre companies, establishing her dual expertise in creative practice and scholarly inquiry. Her research centers on cross-media adaptation processes—examining textual transformations between radio, film, and theatre—and the evolving role of writers in physical theatre spaces. Recent projects like the Arts Council of Wales-funded 'Beyond Words' (2010-2012) investigate how creative translation across mediums generates new artistic forms, with current work focusing on virtual reality applications for radio drama adaptation. Analysis of her 2018-2024 outputs reveals consistent exploration of literary adaptation (particularly Dylan Thomas and Tennyson), immersive storytelling through emerging technologies, and the materiality of performance spaces. Her collaborations with technologists like P. Woycicki demonstrate how digital tools expand traditional narrative boundaries while maintaining theatrical essence. Key recognitions include: Creative Wales Award from Arts Council of Wales (2010-2012) Shortlisting for John Whiting Award (1994) Shortlisting for BBC Wales Author of the Year (1994) Gough actively shapes emerging talent as external examiner for PhD practice-as-research programs and new BA Scriptwriting degrees, while her industry impact is evident through writing workshops for BBC, Birmingham Rep, Stagecoach, and contributions to BBC Radio Cymru arts programming. Major grants include the Arts Council of Wales Creative Wales Award supporting her 'Beyond Words' research program. Her current collaborative laboratory with P. Woycicki pioneers VR integration in performance, notably through the 'Mapping the Soul VR' project that transforms radio plays into immersive gallery experiences, demonstrating how video game technology can revolutionize audio storytelling while preserving its intimate qualities.

Dena Bazazianمشاهده پروفایل

مدرس

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

Dr. Dena Bazazian is a Lecturer in Robotics and Machine Vision at the University of Plymouth's School of Engineering, Computing and Mathematics. Previously, she held positions as a Senior Research Associate at the University of Bristol's Visual Information Laboratory, Research Scientist at CTTC (Barcelona), and postdoctoral researcher at Universitat Autònoma de Barcelona, where she earned her PhD in 2018. Her international research includes visiting positions at Barcelona Supercomputing Center (2024), NAVER LABS Europe (2019), and University of Florence (2017). Her research focuses on robotic vision, underwater technologies, and AI-driven applications. Key interests include: 3D reconstruction and neural rendering techniques Anomaly detection using graph neural networks Underwater perception systems for marine environments Intergenerational co-design of immersive technologies Point cloud processing and geometric deep learning Publication analysis reveals strong emphasis on computer vision applications across robotics, industrial inspection, heritage preservation, and marine technology. Recent works increasingly integrate human-centered approaches with XR technologies and underwater systems. She currently supervises 8 PhD students across robotics, healthcare, and environmental monitoring domains: Offshore wind turbine maintenance drones (EPSRC-UDLA funded) Autonomous sea vessel swarms for climate forecasting (ARIA funded) AI for marine biodiversity monitoring (Cefas funded) Elderly fall detection systems (URS General funded) Healthcare anxiety detection through visual analysis (EPSRC DTP HMT funded) Dr. Bazazian leads modules including Artificial Vision and Deep Learning and Computer Vision . She co-organizes workshops including the Deep Learning for Geometric Computing series (CVPR/ICCV) and Women in Computer Vision workshops (CVPR/ECCV).

Abdulrahman Kerimمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Machine Learning
• Explainable AI
• +۲ مورد دیگر

Dr. Abdulrahman Kerim is a Research Fellow in Explainable Machine Learning at the University of Surrey's School of Computer Science and Electronic Engineering. With expertise spanning computer vision, machine learning, and synthetic data generation, his research develops robust AI systems capable of operating under adverse conditions. He holds a PhD in Computer Science from Lancaster University and multiple undergraduate degrees in engineering disciplines. His research focuses on overcoming data limitations in computer vision through innovative synthetic data approaches. Recent work includes video stabilization algorithms resilient to weather conditions, semantic segmentation models for adverse environments, and procedural data generation frameworks. He authored the book Synthetic Data for Machine Learning detailing modern approaches to synthetic data generation including GANs and diffusion models. Dr. Kerim has received recognition as a Fellow of the British Machine Vision Association and Associate Fellow of the Higher Education Academy. He serves on the program committee for AAAI and has collaborated with industry partners including Google and Microsoft. His teaching experience includes modules on programming for data scientists, distributed AI, and game design.

Federico Stellaمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• 3D Geometry Processing
• +۴ مورد دیگر

Federico Stella is a Researcher and Doctoral Assistant at the Computer Vision Laboratory (CVLAB) within the School of Computer and Communication Sciences (IC) at EPFL in Lausanne, Switzerland. His work focuses on advancing computer vision and 3D geometry processing through machine learning and neural network approaches. Research interests include implicit neural representations, 3D reconstruction, and applications of spherical CNNs for geometric problems. He has contributed to methodologies in mesh generation, surface detection, and self-supervised learning techniques. Recent publications highlight advancements in distance field networks, gradient-based surface detection, and differentiable meshing algorithms. His research bridges computer graphics and machine learning, with potential applications in robotics and virtual environments.

Aidan Hoggمشاهده پروفایل

استادیار

• Spatial Acoustics
• Immersive Audio
• Statistical Signal Processing
• +۳ مورد دیگر

Aidan Hogg is an Assistant Professor/Lecturer in Computer Science at Queen Mary University of London (QMUL) and an Honorary Research Associate at Imperial College London. His primary affiliation is with the Centre for Digital Music (C4DM) and the School of Electronic Engineering and Computer Science at QMUL. He co-leads the Virtual, Immersive, Augmented and Binaural Audio Lab (VIABAL) . Education: PhD and MEng from Imperial College London, specializing in engineering and computer science disciplines. His research focuses on deep learning for spatial acoustics , immersive audio , and statistical signal processing with applications to speech and audio systems. Key areas include HRTF upsampling , speaker diarization , and acoustic localization . Grants: Secured funding such as the Online Speech Enhancement in Scenarios with Low Direct-to-Reverberant-Ratio grant (£65,621 from L-ACOUSTICS UK LIMITED, 2024–2025). His work bridges academia and industry, particularly in audio engineering and AI-driven audio solutions. Labs/Teams: Active in the Centre for Multimodal AI and collaborates with institutions like the Central Conservatory of Music, China. His research outputs include datasets like the SONICOM HRTF Dataset and contributions to conferences such as DAFX, ICASSP, and WASPAA.

Helge Rhodinمشاهده پروفایل

استاد

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

Helge Rhodin is a full professor at Bielefeld University (since March 2024) and an affiliate at the University of British Columbia (UBC). His research focuses on advancing 3D computer vision, machine learning, and computer graphics to enable non-intrusive human-computer interaction, particularly in augmented reality (AR) and virtual reality (VR) environments. He previously held positions as an Assistant Professor at UBC, a postdoctoral researcher at EPFL, and a PhD candidate at the Max-Planck-Institute for Informatics under Christian Theobalt. Education & Career: PhD in Computer Science, Max-Planck-Institute for Informatics (2016) Postdoctoral Researcher, EPFL (2016–2020) Assistant Professor, UBC (2020–2024) Full Professor, Bielefeld University (2024–present) Research Interests: Rhodin’s work spans 3D human pose estimation, neural rendering, AR/VR applications, and generative models. Key contributions include real-time motion capture systems (e.g., XNect), self-supervised learning frameworks, and synthetic biomarker development for movement disorders. Publications: His work has been published at top venues like CVPR, ICCV, and SIGGRAPH, with notable achievements like the Best Paper Award at CRV 2023 and an IEEE VR Honorable Mention in 2019. Research trends emphasize human-centric computer vision and interdisciplinary applications in healthcare and sports analytics. Awards & Recognition: Best Paper Award at CRV 2023 IEEE VR Best Journal Paper Honorable Mention (2019) Advising & Labs: He leads a multidisciplinary team at Bielefeld, previously mentoring over 30 students at UBC. His group focuses on developing open-source tools and frameworks for 3D vision and AR. Current research directions include mirror-aware neural humans and scalable neural rendering techniques.

Eun-Young Elaine Kangمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Augmented Reality
• +۸ مورد دیگر

Eun-Young Elaine Kang is a Professor and current Chair of the Department of Computer Science within the College of Engineering, Computer Science, and Technology at California State University, Los Angeles. Her office is located in ET A322, with contact details including phone 323-343-4513 and email eykang@exchange.calstatela.edu. Dr. Kang's research spans core areas of computer science with emphasis on Computer Vision and Computer Graphics , extending to Augmented/Mixed Reality and Game Programming . Her work delves into Image/Video Processing , Compression techniques, and Image-based Modeling & Rendering , reflecting in her advanced course instruction including 3D Game Programming and Computer Vision. She serves as principal undergraduate advisor for the department and leads NSF-funded initiatives as PI/Co-PI, including S-STEM (Culturally Adaptive Path to Success - CAPS), GK-12, and TUES programs like IMPACT LA. These projects focus on STEM education enhancement and student success pathways. Dr. Kang directs the Visual Media Laboratory, which supports her research in visual computing and interactive media development through collaborative student projects and industry partnerships.

JoAnn Patelمشاهده پروفایل

استاد

• 3D Modeling
• Game Environments
• Procedural Modeling
• +۲ مورد دیگر

JoAnn Patel is Professor and Program Director in the Division of Communication & Creative Media at Champlain College, where she teaches courses in Animation and Game Art. She holds an MFA in Computer Arts from Florida Atlantic University and a BFA in Environmental Design from Parsons School of Design. Her creative practice centers on hard surface modeling, game environment design, and Unreal Engine integration. Research interests include: Procedural 3D modeling workflows Real-time rendering techniques Game engine applications in film production Texture and material creation pipelines Her animated films have screened internationally, with 'Casandra The Chameleon' receiving the grand prize at the 2003 Homestead Animated Film Festival. She maintains active industry connections through freelance work for major media networks and corporations.

• Game Development
• 3D Graphics
• Virtual Reality (VR)
• +۴ مورد دیگر

Heiko Ihde is a Lecturer in Game-Development and Game Design at Mediadesign Hochschule (mdh) in Berlin. With over 22 years of industry experience, he has worked as a 3D Artist, Level Designer, and Senior Manager at companies like DAVILEX, Frogster (Gameforge), and Amazon Web Services. He holds a degree in Media Informatics from TFH-Berlin and has authored multiple books on Blender and GLSL programming. His career includes founding hOSHI UG and publishing VR games like VR: Vacate the Room and VR2: Vacate 2 Rooms . Education: Medieninformatiker (FH) - Technische Fachhochschule Berlin (TFH-Berlin) Research Interests: Focus on 3D graphics, virtual reality, game engine development, and shader programming. Specializes in practical applications of Blender and GLSL for game asset creation and real-time rendering. Professional Contributions: Authored textbooks on Blender and GLSL, developed 8 published games, and led teams in web/graphic design at Frogster. Current work includes VR/AR prototyping at AWS and teaching at mdh. Notable Projects: Founded hOSHI UG to develop 5 games and created VR: Vacate the Room series. Active in educational content via YouTube and LinkedIn Learning courses.

Akihiko Toriiمشاهده پروفایل

استادیار

• Computer Vision
• 3D Reconstruction
• Place Recognition
• +۶ مورد دیگر

Akihiko Torii is an Assistant Professor (Research Associate) at the Okutomi & Tanaka Lab in Tokyo Institute of Technology. He holds a PhD from Chiba University and completed a postdoctoral fellowship at the Center for Machine Perception (CMP) at Czech Technical University in Prague. His research focuses on computer vision, with expertise in 3D reconstruction, place recognition, localization, and structure from motion. He has contributed to influential datasets like the 24/7 Tokyo, Pittsburgh (Pitts250k), SF Revisited, and InLoc datasets, advancing visual localization and feature matching techniques. **Education and Background:** PhD in Computer Science, Chiba University Postdoctoral Researcher, Czech Technical University (2014–2018) **Research Interests:** His work spans Computer Vision , including 3D Reconstruction , Place Recognition , Feature Matching , and Multi-View Stereo . He emphasizes practical applications such as indoor/outdoor localization under changing conditions. **Awards and Recognition:** 2017: CVPR Outstanding Reviewers Award 2016: IEEE Japan Chapter Young Author Award 2015: Tokyo Tech Young Investigator Award Multiple Best Paper Awards (2013–2014) **Key Projects:** Developed algorithms like Multi-View Inverse Rendering and NetVLAD , and contributed to benchmarking frameworks for visual localization accuracy. His work bridges theoretical advancements and real-world applications in robotics and autonomous systems.