Real-Time Rendering Professors and Supervisors in Denmark

Jesper Rindom Jensenمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Jesper Rindom Jensen is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark, under the Technical Faculty of IT and Design. He is the Head of the Audio Analysis Lab, a leading research group in audio signal processing, since 2023. His work bridges theoretical signal processing and practical applications in artificial intelligence and audio systems. Full Name: Jesper Rindom Jensen Institution: Aalborg University School: The Technical Faculty of IT and Design Department: Department of Electronic Systems Research Lab: Audio Analysis Lab Email: jrj@es.aau.dk Office: Fredrik Bajers Vej 7B, B5-206, 9220 Aalborg Øst, Denmark Education: M.Sc. in Electronic Systems, Aalborg University (cum laude, 2009) Ph.D. in Signal Processing, Aalborg University (2012) Research Interests: Jesper Rindom Jensen's research centers on audio signal processing, with a strong emphasis on artificial intelligence, speech enhancement, noise reduction, beamforming, and multichannel systems. His work applies to diverse domains including robot and drone audition, spatial audio, and active noise control. He develops novel filtering techniques, including variable span linear filters and harmonic beamformers, to improve speech quality and intelligibility in noisy and reverberant environments. Publication Trends: His recent publications (2023–2025) show a strong trend toward integrating deep learning with classical signal processing, particularly in direction-of-arrival estimation, underwater acoustics, and robust multichannel systems. There is a clear focus on real-world applications, including sound zone control, active noise control, and limited-data scenarios using knowledge distillation. His work consistently emphasizes robustness, efficiency, and practical deployment. Scientific Awards and Recognition: AAU Talent for emerging research leaders Recipient of a competitive postdoc grant from the Danish Independent Research Council Advising and Grants: Jesper has supervised multiple PhD and master’s students, including Nørholm, Karimian-Azari, Zhang, and Wang. He has led significant research projects such as 'Sound Processing for Robots and Drones' (2018–2020) and participated in others related to joint audio-visual tracking and speech enhancement. His research has been supported by national funding bodies, reflecting its innovation and impact. Labs and Teams: He is a founding and core member of the Audio Analysis Lab at Aalborg University, which focuses on cutting-edge audio signal processing and AI-driven solutions. The lab fosters interdisciplinary collaboration and has produced numerous publications, datasets, and real-world applications. Jensen’s leadership since 2023 underscores his pivotal role in shaping the lab’s research direction.

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Hans Gellersenمشاهده پروفایل

استاد

Aarhus UniversityDenmark

Human-Computer Interaction
Virtual Reality (VR)/Augmented Reality (AR)
Eye Tracking
+۴ مورد دیگر

Professor Hans Gellersen is a faculty member at the Department of Computer Science, Aarhus University. His research focuses on human-computer interaction, virtual/augmented reality, eye tracking, and multimodal interaction. He leads projects exploring gaze-based interfaces, natural input techniques, and XR applications. Key interests include improving interaction efficiency in 3D environments and addressing accessibility challenges in extended reality systems. Recent work emphasizes dynamic eye dominance analysis for foveated rendering, multimodal input cascades (hand-head-eye), and gaze-assisted 3D object manipulation. He investigates user performance in VR/AR systems, calibration methods for eye tracking, and collaborative mixed reality tools. Notable contributions include frameworks for spatial interfaces, gesture fusion, and accessibility adaptations for users with movement disorders. His publications span top venues like CHI, IEEE VR, and ACM Transactions on Computer-Human Interaction. Research themes include gaze-hand coordination, implicit calibration systems, and reconfigurable collaboration spaces. Current projects explore seamless interaction techniques that combine gaze with physical movements and environmental cues.

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Mark Bo Jensenمشاهده پروفایل

استادیار

Aalborg UniversityDenmark

Mark Bo Jensen is an Assistant Professor (tenure track) at the Department of Engineering Technology and Didactics, Technical University of Denmark (DTU), specializing in Energy Technology and Computer Science. His research is centered on Perception Engineering and Extended Reality technologies, particularly Virtual Reality (VR), with applications in human cognition, computer graphics, and scientific visualization. His research interests lie at the intersection of engineering and cognitive sciences, focusing on creating immersive and convincing extended reality experiences. Jensen applies his over 10 years of expertise in real-time computer graphics to advance VR systems for perception modeling, geometric data visualization, and material appearance simulation. His work contributes to fields such as medical diagnostics, 3D annotation, and photorealistic rendering. The recent publications highlight a strong trend in leveraging VR for scientific tasks, such as anatomical landmark annotation and visual field testing, as well as advancing core graphics techniques like meshlet optimization and diffusion-based stereo image generation. His research integrates computer vision, graphics algorithms, and human-centered design. While no scientific awards are currently listed, his active participation in research projects and consistent publication output indicate a growing academic profile. He has contributed to interdisciplinary collaborations involving medical, biological, and engineering domains. Jensen has been involved in advising and research projects, including serving as a PhD student in the 'Virtual Reality-Based Visualization of Geometric Data' project and currently as a project participant in 'AL-EYE: The Visual Aid'. These projects reflect his focus on applied VR solutions and data understanding. His work is conducted within the Energy Technology and Computer Science division at DTU, where he contributes to advancing perception-driven technologies and their practical implementation in scientific and medical contexts.

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Michael Wimmerمشاهده پروفایل

دانشیار

University of CopenhagenDenmark

Michael Wimmer is an Associate Professor at the Institute of Computer Graphics and Algorithms, Faculty of Informatics, Technical University of Vienna (TU Wien), where he leads the Rendering and Modeling Group. His work bridges real-time graphics, visualization, and urban modeling applications. Research Interests: His primary research lies in real-time rendering, procedural and shape modeling, point-based rendering, and real-time visualization of urban environments, with applications in computer games and interactive systems. He has coauthored over 100 papers and the notable book Real-Time Shadows . The available publication indicates a trend toward integrating domain knowledge into dynamic financial data visualization, expanding his expertise from core graphics into data-intensive applications. Associate Editor: Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Graphics Forum (CGF) Program Committees: ACM SIGGRAPH, SIGGRAPH Asia, Eurographics, Eurographics Symposium on Rendering, ACM I3D Papers Co-Chair: EGSR 2008, Pacific Graphics 2012, Eurographics 2015 Michael Wimmer has supervised research students and leads the Rendering and Modeling Group at TU Wien, fostering innovation in graphics and visualization. While specific grants are not listed, his extensive publication record and editorial roles suggest sustained research funding and academic leadership. The group focuses on advancing real-time graphics techniques, with applications in urban simulation, gaming, and data visualization, maintaining strong ties to both academic and industrial partners in the computer graphics community.

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Mark Bo Jensenمشاهده پروفایل

استادیار

Technical University of DenmarkDenmark

Mark Bo Jensen is an Assistant Professor (Tenure track) at the Department of Engineering Technology and Didactics, Energy Technology and Computer Science at the Technical University of Denmark (DTU). His work bridges engineering and cognitive sciences through the emerging field of Perception Engineering. His research focuses on Extended Reality (XR) and Virtual Reality (VR) technologies to model and understand human perception and cognition. With over 10 years of expertise in real-time computer graphics, he develops immersive systems for applications in data visualization, medical testing, and geometric morphometrics. His recent publications highlight a strong trend in leveraging VR for precise human interaction tasks, such as anatomical landmark annotation and visual field testing, as well as advancing rendering techniques using diffusion models and mesh optimization. This reflects a multidisciplinary approach combining computer science, perception, and real-world applications. He has contributed to multiple research projects, including AL-EYE: The Visual Aid and Virtual Reality-Based Visualization of Geometric Data, where he served both as a PhD student and a project participant. These projects emphasize VR-based tools for data understanding and visualization. Assistant Professor (Tenure track), DTU PhD in Virtual Reality-Based Visualization of Geometric Data, completed June 2023 Project participant in AL-EYE: The Visual Aid (2025) While no formal advisees are listed, his role as a faculty member suggests future student supervision. He has collaborated extensively with researchers such as Jeppe R. Frisvad, Jakob Andreas Bærentzen, and Vedrana A. Dahl.

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Claus Brøndgaard Madsenمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Claus Brøndgaard Madsen is an Associate Professor in the Department of Architecture, Design and Media Technology at Aalborg University, under The Technical Faculty of IT and Design. He is based at Campus Aalborg and is affiliated with the Computer Graphics Group and VR Light research environment. His work bridges computer vision, virtual reality, and architectural design, with a strong focus on real-time visualization and human interaction in digital environments. Research Interests: His primary research areas include Computer Vision , Virtual Reality (VR) , Augmented Reality (AR) , 3D Reconstruction , Structure-from-Motion (SfM) , and Image-Based Lighting . These are applied in industrial VR, urban design evaluation, and sensory augmentation systems. His research fingerprint highlights strong engagement with Virtual Reality (100%), Augmented Reality (71%), Illumination Conditions (41%), and Wind Turbine Engineering (28%). The recent publications (2023–2025) reflect a consistent trend in enhancing user experience in VR/AR environments, with emphasis on spatial cognition, locomotion techniques, exposure control, and machine learning integration for lighting classification and part direction prediction in industrial contexts. These works are published in top-tier conferences such as EG, GRAPP, WACV, and CAADRIA. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Madsen has supervised PhD students and served as a supervisor in research projects like AAIVR. He is Principal Investigator (PI) in multiple funded projects, including BUMUS: Sustainable Expansion of Mussel Production (2024–2027), CityVR: Evaluating Parametric City Designs in VR (2020–2022), and V-BRT: Virtual Bus Rapid Transit (2019). These projects reflect substantial grant acquisition and leadership in applied VR research. Labs and Research Groups: He is a key member of the Computer Graphics Group and VR Light at Aalborg University, which focus on real-time visualization, lighting techniques, and immersive technologies for industrial and architectural applications.

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Ivan Adriyanov Nikolovمشاهده پروفایل

استادیار

Aalborg UniversityDenmark

Ivan Adriyanov Nikolov is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. He specializes in Computer Graphics, Computer Vision, and Augmented Reality, with a focus on 3D reconstruction techniques like Structure-from-Motion (SfM). His work bridges academic research and industrial applications, particularly in wind turbine blade inspection and educational technology. His educational background includes contributions to computer science education through innovative teaching methods. He has led projects like 'Drone Application for Pioneering Reporting in Wind Turbine Blade Inspection' (2017–2019) and 'Leading Edge Roughness - Wind Turbine Blades' (2015–2019), advancing drone-based inspection and 3D modeling for wind energy sectors. Research interests include synthetic data generation, environmental monitoring datasets (e.g., BrackishMOT, DigiWeather), and improving VR/AR user experiences. He has developed tools for dynamic lighting in pixel art games and multimodal guardian systems in VR. His datasets, such as Sewer Defect Point Clouds and Wind Turbine Blade SfM Reconstructions, are publicly available for academic use. He actively contributes to educational innovation, such as flipped classroom strategies to boost programming class engagement. His interdisciplinary approach spans computer graphics, AI-driven NPC interactions, and collaborative mixed-reality games for trust-building. Labs/Teams: Member of the Computer Graphics Group and Visual Analysis and Perception team at Aalborg University. Collaborates with industry partners on drone technology and environmental surveillance systems.

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J. Andreas Bærentzenمشاهده پروفایل

دانشیار

Technical University of DenmarkDenmark

Professor J. Andreas Bærentzen is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), where he has held academic positions since 2001. His research focuses on computer graphics, shape modeling, real-time rendering, and geometry processing. He holds a MSc Eng (1998) and PhD (2003) from DTU. His work emphasizes topological adaptability in shape representation and efficient geometry processing, with notable contributions to structural topology optimization, 3D reconstruction, and virtual reality applications. Education: MSc Eng, Technical University of Denmark, 1991–1998 PhD, Technical University of Denmark, 1998–2003 Research Interests: Interactive 3D modeling and real-time graphics Topology optimization and structural infill design Shape modeling using distance fields and deformable hypersurfaces Applications in biomedical imaging (e.g., white matter dynamics) and environmental engineering (e.g., tree geometry simulation) His recent publications highlight advancements in neural network-based shape representation, skeletonization for tree reconstruction, and inverse-designed structural infill for engineering. He supervises multiple PhD students and leads projects on robotic manufacturing and virtual reality visualization. Bærentzen collaborates internationally, including visits to Stony Brook University (USA) and Padova University (Italy). Advisees & Projects: PhD Students: Rui Cui, Thomas D. V. Christiansen, Elias Theil Gæde Key Projects: 'Generative Methods for Brain Tissue Phantoms', 'Neural Form Representation', 'Graph Algorithms with Geometric Applications' His work bridges theoretical geometry processing with practical applications in architecture, biomedical engineering, and environmental science, leveraging DTU's interdisciplinary research ecosystem.

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Anders Riddersholm Bargumمشاهده پروفایل

پژوهشگر

Aalborg UniversityDenmark

Anders Riddersholm Bargum is a Researcher at Aalborg University's Technical Faculty of IT and Design , affiliated with the Department of Architecture and Media Technology . His work spans virtual reality, artificial intelligence, and advanced audio signal processing. Research Focus: Virtual Reality immersion, AI-driven voice conversion, and spatial audio mixing. Collaborations: Active in international networks for digital audio effects and sound computing. Key Publications (2025-2022): Explored AI speech synthesis in VR (2025), non-parallel voice conversion frameworks (2024), and spatial audio design principles (2022). Research trends emphasize deep learning integration, signal alignment techniques, and immersive audio environments. Technical Contributions: Developed differentiable all-pass filters for phase response estimation and optimized voice conversion systems at high sampling rates. His Virtual Reality research includes studies on avatar realism and social presence through synthetic speech.

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Kay Römerمشاهده پروفایل

استاد

University of CopenhagenDenmark

Kay Römer is Professor and Director of the Institute for Technical Informatics at Graz University of Technology, Austria. He previously held a professorship at the University of Lübeck, Germany, and was a senior researcher at ETH Zurich, where he obtained his doctorate in computer science in 2005. His research focuses on networked embedded systems, particularly in the domains of Wireless Sensor Networks, Internet of Things (IoT), and Cyber-Physical Systems. Key areas include wireless networking, operating systems, programming models, dependability, and deployment methodologies for large-scale embedded networks. The most recent publications reflect a consistent trend in dependable and scalable IoT systems, with emphasis on wireless protocols, fault tolerance, real-time operation, and system robustness. His work bridges theoretical innovation with practical deployment, often involving cross-layer design and energy efficiency. Associate Editor, IEEE Transactions on Mobile Computing Associate Editor, IEEE Transactions on Computers Program Co-Chair, ACM SenSys 2011 Program Co-Chair, ACM/IEEE IPSN 2013 Coordinator, EU FP7 FIRE Project RELYonIT Coordinator, TU Graz Excellence Project "Dependable Internet of Things" Kay Römer has advised multiple research teams and coordinated major international projects funded by the Swiss National Science Foundation, European Commission, German Science Foundation, German Federal Ministry of Education and Research, and the Austrian Federal Ministry of Science, Research, and Economy. He has delivered invited keynote talks and co-directed five international summer schools, demonstrating strong leadership in research dissemination and mentoring. He leads research activities within the Institute for Technical Informatics at TU Graz, focusing on dependable and secure IoT systems, with active collaborations across Europe and industry partners.

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Paolo Burelliمشاهده پروفایل

مدرس

IT University of CopenhagenDenmark

Paolo Burelli is a Lecturer and Head of the brAIn Lab at the IT University of Copenhagen. He also serves as a Senior Data Scientist at Tactile Entertainment A/S since 2016. His research focuses on Game AI, Player Experience, Machine Learning, and Neuroscientific approaches to gaming. Key affiliations include the Creative AI Lab and The Maritime Hub. Research interests span adaptive game systems, player modeling, and the intersection of neuroscience with game design. Notable projects include the Pioneer Centre for Artificial Intelligence (2021–2034), ALGO (2019–2022), and CREATE (2023–2025). Projects emphasize creative AI applications in education, difficulty modeling in games, and maritime safety through alarm-handling practices. Publications highlight work on LLM emotion generation, EEG-based neural decoding, and player frustration tolerance. Collaborations include institutions like Springer and the Danish National Research Foundation. His datasets, such as the Uncanny Valley Face Questionnaire, contribute to facial perception studies. Labs under his leadership include the brAIn Lab, exploring AI ethics, game analytics, and human-centered computing. Projects emphasize practical applications of AI in education and industry.

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Mads Græsbøll Christensenمشاهده پروفایل

استاد

Aalborg UniversityDenmark

Mads Græsbøll Christensen is a Full Professor and Head of the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design. He has held visiting positions at Philips Research Labs, ENST, UCSB, and Columbia University. Dr. Christensen earned his M.Sc. in 2002, Ph.D. in 2005, and dr.techn. in 2022, all from Aalborg University. He is a Senior Member of IEEE, a Member of EURASIP, a Fellow of the Danish Academy of Technical Sciences, and a Villum Fellow. His research focuses on audio and acoustic signal processing , with expertise in microphone arrays, noise reduction, signal modeling, speech analysis, and spatial audio. His work spans theoretical developments to practical applications in speech enhancement, hearing technology, and medical diagnostics using voice analysis. Dr. Christensen has authored 4 books and over 300 peer-reviewed papers, with recent publications focusing on speech enhancement, Parkinson's disease detection from speech, and advanced audio processing techniques. His research shows a clear trend toward applying signal processing to real-world problems, particularly in healthcare and human-computer interaction. IEEE best paper awards Spar Nord Foundation's Research Prize Danish Independent Research Council Young Researcher's Award Statoil Prize EURASIP Early Career Award (2016) Villum Foundation Young Investigator (2012) Member of the Danish Academy of Technical Sciences (2017) Dr. Christensen has supervised 13 PhD students and secured major research grants from the Independent Research Fund Denmark, the Villum Foundation, and Innovation Fund Denmark. He has served as Chairman of the EURASIP Acoustic, Speech, and Music Processing TAC and Editor-in-Chief of the EURASIP Journal on Audio, Speech, and Music Processing. He leads the Audio Analysis Lab at Aalborg University, which focuses on cutting-edge audio signal processing research with applications in healthcare, communication, and human-computer interaction.

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Flemming Christensenمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Flemming Christensen is an Associate Professor in the Department of Electronic Systems at Aalborg University, part of The Technical Faculty of IT and Design. His research focuses on acoustics, audio engineering, and binaural systems, with strong contributions to sound zone control, spatial audio, and headphone technology. He has led or participated in projects addressing noise measurement in ships, 3D audio systems for vehicle safety, and age-related ear growth acoustics. Research interests include binaural synthesis, dynamic sound environments, and the application of virtual reality in acoustic evaluation. He has authored over 60 publications, including works on real-time room auralization and perceptual evaluation of audio systems. His work bridges theoretical acoustics with practical applications in automotive safety, headphone design, and environmental noise management. Notable projects include the development of a low-frequency noise measurement device and investigations into head movements' impact on binaural synthesis. He actively contributes to academic events, such as organizing conferences and participating in workshops on acoustics and virtual reality. Christensen’s research also explores the intersection of audio technology and human perception, with studies on loudspeaker design, sound localization, and user experience with audio devices. His work emphasizes interdisciplinary collaboration, integrating engineering principles with psychoacoustic insights.

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Hans-Jörg Schulzمشاهده پروفایل

دانشیار

Aarhus UniversityDenmark

Hans-Jörg Schulz serves as an Associate Professor in the Department of Computer Science at Aarhus University, Denmark, specializing in visual analytics and information visualization. His research bridges computer science with interdisciplinary applications in food science, neuroscience, and material engineering. He earned his Doctorate in Computer Science (2010) and Diplom (Master's equivalent, 2004) from the University of Rostock, focusing on explorative graph visualization and visual data mining for complex structures. His academic trajectory reflects deep expertise in transforming complex data into actionable visual insights through innovative methodological frameworks. Schulz's research centers on advancing visual analytics methodologies, particularly progressive visual analytics where data processing and user interaction occur simultaneously. His work establishes foundational techniques for visual guidance systems, explainable AI interfaces, and specialized visualization tools for domains like EEG analysis and food rheology. Recent publications demonstrate a strategic expansion into haptic feedback integration, agent-based visualization design, and cross-disciplinary applications requiring novel visual fingerprinting techniques. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Human-centered progressive analytics with focus on trust calibration and cognitive load management, (2) Domain-specific visualization frameworks for complex data like anisotropic food structures and EEG artifacts, and (3) Novel interaction paradigms incorporating force feedback and malleable interfaces. His work consistently emphasizes practical usability while pushing technical boundaries in visual representation. Schulz's contributions have been recognized with significant awards including IEEE InfoVis Best Poster (2010), EuroVis 3rd Best Paper (2012), VDA Best Paper (2015), Cybercartography Competition 1st Place (2022), and IEEE SciVis Contest 2nd Place & Most Innovative Work (2023). These accolades highlight both theoretical innovation and practical impact in the visualization community. As an educator, he supervises PhD candidates and teaches core visualization courses including Data Visualization, Information Visualization, and Visual Analytics. His current ArtiPlex project (2024-present) develops multiplex analytics for EEG artifact detection, securing active research funding while demonstrating his commitment to translating visualization research into domain-specific solutions. Collaborative patterns across his 79 publications indicate strong partnerships with food scientists, neuroscientists, and HCI researchers.

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