جست‌وجوی استاد و پژوهشگر

Xiliu Yangمشاهده پروفایل

پژوهشگر

• Human-Robot Collaboration
• Augmented Reality in Construction
• Computational Design
• +۳ مورد دیگر

Xiliu Yang is a Research Associate at the Institute of Computational Design and Construction (ICD) , University of Stuttgart. Bachelor of Arts in Architecture, University of Hong Kong Master of Science (Distinction), ITECH programme, University of Stuttgart Her research explores the intersection of human–robot collaboration (HRC) , augmented reality (AR) systems , and timber prefabrication . She investigates how AR interfaces can enhance multi-user workflows with industrial robots, focusing on safety protocols, task allocation, and user agency in automated environments. Recent publications highlight her work on large-scale multi-human-robot systems , error-handling in AR-assisted construction , and asymmetric AR instruction methods . Her studies often involve industry partnerships and real-world fabrication demonstrators, such as the livMatS biomimetic shell and Spatial Lacing composite systems. Scientific Awards: IntCDC Thesis Grant Research Residency at Autodesk Technology Centre She previously co-founded 3DNA , a startup developing cloud-based platforms for eyewear manufacturing, and contributed to distributed robotic platforms for fibrous material fabrication.

Andreas Fenderمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Andreas Fender is a researcher at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Schmalstieg Working Group. He has held postdoctoral positions at ETH Zurich (Switzerland) and the University of Sussex (England), following his PhD at Aarhus University (Denmark) with an internship at Microsoft Research (USA). His research focuses on Human-Computer Interaction, particularly in Augmented and Virtual Reality (AR/VR) and camera networks. He develops novel input methods for productivity and artistic expression in Mixed Reality environments, creating hybrid physical-digital systems like OptiBasePen, PressurePick, InfinitePaint, and DeltaPen. Recent work includes contributions to Mixed Reality input methods (UIST 2024, CHI 2022) and collaborative systems (Asynchronous Reality). Projects like GuitarPie (UIST 2025) and OptiBasePen (UIST 2024) demonstrate his focus on mobile interaction and ergonomic design. Scientific accolades include the Best paper award at CHI 2022 Best application paper award at ISS 2019 . At VISUS, he collaborates with Dieter Schmalstieg and leads hiring for PhD students and PostDocs exploring physical-digital workflows, artistic tools, and critical AI engagement. His work integrates machine learning, hardware prototyping, and spatial user interfaces to redefine future workplaces.

Marcus Handteمشاهده پروفایل

پژوهشگر

• Computer Science
• Pervasive Computing
• Sustainable Mobility
• +۳ مورد دیگر

Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.

• Data Visualization
• Visual Perception
• Human-Computer Interaction
• +۶ مورد دیگر

Colin Ware is a Professor in the Department of Computer Science within the College of Engineering and Physical Sciences at the University of New Hampshire. He directs the Data Visualization Research Laboratory and has established himself as a leading researcher in data and information visualization with a strong focus on the perceptual and cognitive aspects of visual representation. His work bridges computer science, cognitive psychology, and design principles to create more effective visualization techniques. Ware's primary research interests center around how humans perceive visual information and how this knowledge can be applied to create more effective data visualizations. His work spans several key areas including color theory and colormap design, 3D visualization techniques, flow visualization, uncertainty representation, and the cognitive processes involved in visual thinking. He has made significant contributions to understanding how stereoscopic and motion cues affect depth perception in 3D visualizations, and how to design visual representations that align with human perceptual capabilities. Analysis of his recent publications reveals a strong focus on colormap design and evaluation, with numerous papers examining how different color mapping approaches affect feature detection and discrimination. His work increasingly incorporates perceptual modeling and crowdsourced evaluation methods to develop evidence-based visualization design guidelines. He has also maintained a consistent research thread on 3D flow visualization techniques, particularly for scientific applications in oceanography and meteorology. Ware has been instrumental in developing the theoretical foundations of information visualization as a discipline that integrates cognitive science with practical design. His influential book 'Information Visualization: Perception for Design' has become a standard reference in the field, emphasizing the importance of understanding human perception when creating effective visual representations of data. Throughout his career, Ware has mentored numerous graduate students who have gone on to become researchers in visualization and human-computer interaction. His collaborative approach is evident in his extensive publication record, which includes work with researchers across multiple disciplines including oceanography, meteorology, and cognitive science. His laboratory has developed several innovative visualization techniques including the 'Hairy Slices' method for 3D flow visualization, various approaches to representing uncertainty in geospatial data, and novel techniques for designing effective colormaps for scientific visualization. His current research continues to push the boundaries of how we understand and apply perceptual principles to visualization design problems.

• Knowledge Representation
• Spatial and Temporal Cognition
• Multimodal Interaction
• +۳ مورد دیگر

Prof. Christopher Habel is a Professor in the Department of Computer Science at the University of Hamburg, leading the WSV work area. His research focuses on spatial and temporal cognition, multimodal interaction, and accessibility technologies. He holds the formal title of Head of Department WSV and is affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. Habel's work bridges cognitive science, artificial intelligence, and human-computer interaction with an emphasis on assistive technologies for visually impaired individuals. Key research projects include the CINACS International Research Training Group, exploring auditory-haptic access to spatial graphics, and the development of multimodal comprehension systems integrating text, graphics, and tactile feedback. His contributions span theoretical frameworks in cognitive linguistics and practical implementations of verbal assistance systems for tactile maps and haptic graph exploration. Over 30 years of academic activity is reflected in his extensive publication record (1984–2015), with recent work emphasizing cross-linguistic studies, event recognition in virtual environments, and the design of multimodal interfaces for cognitive robotics. His research integrates computational models with empirical studies on human perception and language processing.

Daniel Rothمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

Nicholas Tan Jeromeمشاهده پروفایل

پژوهشگر

• Scientific data management
• Real-time monitoring
• Low-latency computing
• +۵ مورد دیگر

Nicholas Tan Jerome is a Researcher at the Karlsruhe Institute of Technology (KIT), specifically working at the Institute for Process Data Processing and Electronics (IPE). His research focuses on scientific data management, real-time monitoring, low-latency computing, and scientific visualization for large-scale physics experiments and medical imaging applications. Dr. Jerome earned his PhD in Electrical Engineering from KIT in 2019, following an MSc (2010) and Dipl.-Ing. (2009) from University of Applied Science Mannheim. His educational background in electrical and automation engineering provides the foundation for his current research in scientific data systems. His research program addresses critical challenges in managing and visualizing data from large-scale scientific experiments. Dr. Jerome has developed innovative approaches for real-time data processing, low-latency visualization, and scientific data management systems. His work bridges computer science, electrical engineering, and domain-specific applications in physics and medical imaging, with particular focus on applying machine learning to time-series forecasting and causal inference in complex experimental setups. Analysis of his recent publications reveals a strong trajectory in neutrino physics data systems (KATRIN experiment) and advanced visualization frameworks (BORA). His work demonstrates consistent innovation in making scientific data more accessible and interpretable for researchers working with complex experimental setups. Dr. Jerome has received recognition through publications in high-impact journals including Science, Nature Communications, and Physical Review Letters. His collaborative approach is evident in his extensive co-authorship across physics, computer science, and biomedical domains. He has advised or collaborated with numerous researchers across disciplines, contributing to projects that integrate data acquisition, processing, and visualization for scientific discovery. His current work focuses on developing practical tools that help scientists make better, faster decisions from noisy and high-dimensional experimental data. Dr. Jerome leads development of the BORA framework for personalized data display in large-scale experiments and contributes to the KATRIN experiment's scientific data management infrastructure. His technical expertise spans real-time systems, scientific visualization, and machine learning applications for experimental physics.

Maximilian Altmeyerمشاهده پروفایل

استاد

• Human-Computer Interaction
• User Experience (UX)
• Player Experience (PX)
• +۶ مورد دیگر

Prof. Dr. Maximilian Altmeyer is a faculty member at Saarland University of Applied Sciences , where he serves as Professor of Web Development and Mobile Applications Engineering. His research focuses on Human-Computer Interaction, User Experience (UX), Player Experience (PX), Gamification, and Digital Health. Head of Interaction Experience Group Member of Faculty Council Deputy Head of Production Informatics His teaching includes courses on Web Development , Game Development , and Interactive Systems . He supervises B.Sc. and M.Sc. theses on gamification topics and collaborates with research institutions like centigrade. Research Trends : Recent publications examine personalized gamification in fitness applications, user-created gamification systems, and behavioral interventions through interactive technologies. Key areas include Hexad user type analysis, health behavior modification, and live-streaming UX. Special Recognition at CHI PLAY 2020 Special Recognition at CHI PLAY 2019 Special Recognition at CHI PLAY 2022 He advises on ongoing theses about gamified meditation and customization vs. personalization , while serving as committee member for conferences like CHI, MobileHCI, and IEEE VR.

• Behavioral Ecology
• Evolutionary Biology
• Sensory Ecology
• +۵ مورد دیگر

Daniela C. Rößler is a behavioral and evolutionary ecologist leading an Emmy Noether Research Group at the University of Bonn’s Bonn Institute for Organismic Biology (Section II - Animal Diversity). She is also an affiliated scientist at the Max Planck Institute of Animal Behavior in Konstanz. Her work focuses on animal coloration, sensory ecology, and behavior, particularly in jumping spiders and amphibians like harlequin toads. Research priorities include anti-predator adaptations, sleep ecology in spiders (including the discovery of REM-like sleep states), and the evolution of multi-eyed visual systems. Her research integrates field and lab experiments to explore questions rooted in natural observations. She collaborates globally and mentors interns and students, emphasizing interdisciplinary and equity-focused science. Recent work highlights the ongoing amphibian extinction crisis and the ecological significance of sleep in arthropods. Awards include the prestigious Emmy Noether grant supporting her independent research group. Key areas of study include: predator-prey dynamics, sleep architecture in spiders, and the functional role of coloration in anti-predator strategies. Ongoing projects aim to establish sleep’s prevalence and ecological roles across spiders, while also addressing amphibian conservation challenges.

Sebastian Hueberمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Mobile Computing
• Augmented Reality
• +۴ مورد دیگر

Dr. Sebastian Hueber is an alumnus of RWTH Aachen University's Media Computing Group, where he served as a research assistant from 2018 to 2024. He holds a PhD in Human-Computer Interaction (HCI) focusing on facial tracking for mobile interactions. His research bridges novel interaction methods, AR systems, and user-centric design. He also taught iOS development and HCI courses, emphasizing Swift and mobile application design. Education: PhD (2024), M.Sc. (2018), B.Sc. (2015) in Computer Science from RWTH Aachen. Research Areas: Mobile Interaction, Gaze Tracking, Gesture Recognition, AR Rendering. He developed multiple industry software projects, including museum guides and AR apps. His work earned the Best Late-Breaking Work at MobileHCI 2023. Supervised 11 students on topics ranging from AR optimization to distraction-minimizing notifications.

• Virtual Reality
• Computer Graphics
• Augmented Reality
• +۴ مورد دیگر

Arnulph Fuhrmann is a Professor in Computer Science at Technische Universität Darmstadt. His research focuses on Virtual Reality (VR), Augmented Reality (AR), and advanced rendering techniques. He holds a Ph.D. in Computer Science (2006) from TU Darmstadt, with his dissertation titled Interaktive Animation textiler Materialien (Interactive Animation of Textile Materials). His work spans topics such as real-time rendering optimization, collision detection for deformable objects, and immersive systems for sign language communication. Notable contributions include studies on diffraction phenomena simulation, impostor-based rendering acceleration, and hybrid rendering techniques combining rasterization and ray-tracing. His research often addresses challenges in visual quality, performance, and user interaction in VR/AR environments. Recent articles highlight advancements in diminished reality systems, facial feature enhancement for avatars, and collaborative mixed reality frameworks. Fuhrmann collaborates extensively with institutions like RWTH Aachen and researchers in fields like human-computer interaction and computer vision. His work emphasizes practical applications of theoretical advancements, such as tools for software visualization in VR and accessibility solutions for deaf/hard-of-hearing users.

Katherine J. Kuchenbeckerمشاهده پروفایل

استاد

• Haptics
• Robotics
• Human-Computer Interaction
• +۳ مورد دیگر

Katherine J. Kuchenbecker is the Director of the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems in Stuttgart, Germany, and an Honorary Professor at the University of Stuttgart. She previously held a tenured position as an Associate Professor at the University of Pennsylvania. Her research focuses on haptic interfaces and sensing systems, enabling users to interact with virtual and distant objects through touch. She earned her Ph.D. in Mechanical Engineering from Stanford University and completed postdoctoral research at Johns Hopkins University. Her academic journey includes leadership roles such as co-chair of the IEEE Technical Committee on Haptics and associate editorships for major conferences. She has received numerous awards, including the NSF CAREER Award (2009), IEEE Academic Early Career Award (2012), and elevation to IEEE Fellow (2021). Her work spans applications in medical robotics, teleoperation, and human-robot interaction. Kuchenbecker’s research emphasizes translating haptic technology into real-world applications, such as surgical training, tactile feedback in virtual environments, and assistive devices. Her team’s contributions include innovations in wearable haptic devices and tactile sensing for robots. She frequently delivers keynote addresses and chairs international conferences, furthering the field’s global impact. Her publications highlight advancements in haptic feedback systems, surgical robotics, and biomimetic sensors. She also advocates for diversity and leadership in academia, serving as Spokesperson for the International Max Planck Research School for Intelligent Systems since 2017.

• Distributed Computing
• High-Performance Computing
• Parallel Systems
• +۷ مورد دیگر

Tore Brox-Larsen is an Associate Professor in the Department of Informatics at UiT The Arctic University of Norway. He is actively involved in research and teaching, with a focus on distributed computing, high-performance systems, and visualization technologies. His work is centered on scalable systems for large displays, sensor networks, and remote data visualization, often in collaboration with interdisciplinary teams. His research interests include distributed and parallel computing, remote visualization over wide-area networks, large-scale display systems, health informatics, and Arctic monitoring technologies. He has contributed significantly to the development of systems for tiled display walls, genomics visualization, and sensor-based observatories. His work bridges theoretical computer science with practical applications in healthcare, environmental monitoring, and collaborative research environments. The most recent publications reflect a strong trend in applying computing technologies to real-world challenges, particularly in Arctic research and healthcare. His work emphasizes performance optimization, usability, and scalability in distributed systems. Topics span from low-level communication latency analysis to high-level collaborative visualization frameworks. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no explicit information about students advised or research grants received. However, his extensive publication record and collaborative projects suggest active participation in funded research initiatives and potential mentorship of junior researchers and students. Labs and Teams: Tore Brox-Larsen is part of a long-standing research group at UiT involving Otto Anshus, John Markus Bjørndalen, and others, focusing on high-performance distributed systems. He has contributed to the development of the MultiStream system, scalable display walls, and the Arctic observatory sensor network. His work indicates involvement in both software and systems research teams, likely associated with UiT’s informatics infrastructure and high-performance computing initiatives.

Seyda Öneyمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Augmented Reality
• Eye Tracking
• +۳ مورد دیگر

Seyda Öney is a doctoral researcher at the Visualization Research Center (VISUS) of the University of Stuttgart, affiliated with the Weiskopf Group and the Cluster of Excellence IntCDC . Her work focuses on eye tracking, augmented reality, and data visualization, with an emphasis on accessibility and human-computer interaction.

Sasan Matinfarمشاهده پروفایل

پژوهشگر

• Medical Sonification
• Sonic Interaction Design
• Extended Reality (XR)
• +۴ مورد دیگر

Sasan Matinfar is a research scientist at the Technical University of Munich (TUM), affiliated with the Chair of Computer Aided Medical Procedures (Prof. Navab) and the Munich Center for Machine Learning (MCML). He serves as scientific staff at Rechts der Isar Hospital, developing XR and sonification systems for surgical environments since 2020. His educational background includes: Master’s and Bachelor’s in Computer Science, Ludwig Maximilian University of Munich (LMU) Musicology, Franz Liszt University of Music, Weimar Piano Interpretation, Art University of Tehran Matinfar pioneers medical sonification and multisensory XR, creating auditory interfaces that convert tissue properties into sound for surgical guidance. His work in user-centered design produces clinically viable tools like the Ocular Stethoscope for retinal procedures and physics-based BioSonix frameworks, merging computer vision with perceptual audio engineering to enhance intraoperative precision without visual overload. Analysis of his 12 recent publications (2017-2025) reveals an evolving research arc from foundational surgical soundtracks to sophisticated context-aware sonification. Current work integrates generative AI with real-time tissue deformation modeling, focusing on multimodal frameworks where auditory feedback complements visual navigation in complex surgeries like cardiac interventions and retinal peeling. Key recognitions include: The Data Sonification Award (2025) MICCAI 2023 Best Paper Nominee (top 3% of submissions) MICCAI Young Scientist Award (2017, top 2% of papers) As an educator, Matinfar mentors students through TUM courses including Medical Augmented Reality (WS 2025/26) and Surgical Robotics, while co-organizing the Medical Augmented Reality Summer School and IEEE ISMAR 2025’s MIX Workshop. His patented technologies emerge from collaborations with Politecnico di Milano, TU Dresden’s CeTI, and Balgrist Hospital Zurich, securing interdisciplinary grants in surgical data science. Matinfar operates within TUM’s NARVIS Lab for medical image analysis and RobUSt for robotics-ultrasound integration, leveraging the German Heart Center Munich (DHM) infrastructure to validate XR systems in live surgical workflows and advance vision-language models for intraoperative decision support.