جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• Haptic Systems
• Computer Graphics
• +۶ مورد دیگر

Prof. Matthias Harders is a Professor at the Department of Computer Science, University of Innsbruck. His work focuses on medical imaging, haptic systems, virtual reality, and data-driven simulation. He leads research in interactive visualization tools, medical device development, and machine learning applications in healthcare and environmental engineering. Research areas include haptic augmented reality for surgical training, deformable medical image registration, and synthetic data generation for retinal imaging. Notable projects include SPBView for eye movement analysis and the PoRi device for post-stroke rehabilitation. His work bridges computer science with biomedical applications, emphasizing real-world impact in healthcare technology. Publications span medical simulation, machine learning for biogas prediction, and perceptual interfaces. He collaborates on EU-funded projects involving VR/AR systems and has contributed to open-source tools for point cloud analysis and surgical planning.

Clemens Holzmannمشاهده پروفایل

استاد

• Human-Computer Interaction
• Pervasive Computing
• Automotive/Mobility Technology
• +۳ مورد دیگر

Clemens Holzmann is a Professor at the Upper Austria University of Applied Sciences (FH OÖ), affiliated with the Research Center Hagenberg and its Centers of Excellence in Automotive/Mobility and Smart Production. His research focuses on Human-Computer Interaction, Pervasive Computing, and their applications in automotive systems, augmented reality (AR), and visual analytics. He has led or contributed to multiple projects, including AutoSimAR (enhancing AR usability in automated driving) and X-PRO (user-centered cross-virtuality analytics methods). Holzmann has received notable awards, including the FH OÖ Forschungspreis 2013 and Excellence in Teaching Award (2017). He actively participates in academic activities, serving on committees for conferences like the International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM) series and the International Conference on Human Computer Interaction Theory and Applications. His research outputs analyze AR and VR technologies in automated driving contexts, emphasizing user experience, safety, and traffic flow optimization. Projects like AutoWSD investigate windshield display complexity and user interface design, while Digitally Connected Industry Network explores industrial value chains and smart production systems.

• Visual Data Exploration
• Human-Computer Interaction
• Large-Scale Data Visualization
• +۵ مورد دیگر

Manuela Waldner is an Associate Professor in the Department of Computer Graphics at Technische Universität Wien (TU Wien). Her research focuses on visual data exploration, human-computer interaction, and immersive analytics. She leads projects like 'Visual Analytics and Computer Vision meet Cultural Heritage' (FWF doc.funds.connect) and 'Joint Human-Machine Data Exploration' (FWF). She teaches courses including 'Computer Graphics', 'Information Visualization', and 'Visual Research Methods'. Awards include the Best Paper Award at EuroVA 2024. Her work spans medical visualization, VR navigation, and bias analysis in AI models. She advises numerous PhD and Master's students, contributing to 43+ publications.

Velitchko Filipovمشاهده پروفایل

پژوهشگر

• Information Visualization
• Visual Analytics
• Dynamic Network Analysis
• +۶ مورد دیگر

Velitchko Filipov is a PostDoc Researcher at the Institute of Visual Computing & Human-Centered Technology within the Faculty of Informatics at Vienna University of Technology (TU Wien). His work focuses on advancing Information Visualization and Visual Analytics, with a strong specialization in Dynamic Network Analysis. He is currently involved in multiple research projects including ArtVis (2022-2027), SANE (2024-2027), VaCoViCu2 (2023-2027), and SMGV-Esprit (2024-2027), with ArtVis funded by the Austrian Science Fund (FWF). Dr. Filipov completed his doctoral dissertation titled "Networks in time and space: visual analytics of dynamic network representations" at TU Wien in 2024. Prior to that, he completed his Diploma Thesis "Visual exploration and comparison of multiple resume: focus on time and space" at the same institution in 2017. His research centers on creating innovative visual representations and interactive techniques for exploring complex, time-varying networks. These approaches have significant applications in Art History, where understanding the evolution of artistic movements is crucial, and Information Diffusion. His work also benefits computational social sciences and digital humanities by providing tools to uncover patterns within evolving relational data. He has made notable contributions to uncertainty visualization, network physicalization, and the visualization of historical networks. Dr. Filipov's publication record shows a clear progression from foundational work on CV visualization and biographical trajectory mapping toward increasingly sophisticated techniques for dynamic network analysis. His recent work demonstrates a strong focus on making network data tangible through physicalization techniques and on addressing uncertainty in network representations, reflecting the evolving challenges in the visualization field. His scientific achievements have been recognized with several prestigious awards: Best Paper Award at EuroVis 2025 for "NODKANT: Exploring Constructive Network Physicalization" Top Cited Article 2025 in Computer Graphics Forum for "Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies" Nominee for Best Dissertation Award 2024 at TU Wien Informatics Best Paper at VIS4DH 2019 Graph Drawing Contest winner in 2019 and 2018 Dr. Filipov actively supervises students, with recent theses including "Dynamic network analysis with centrality measures" (2024) and "Utilizing visual analytics for network exploration in the domain of art history research" (2023). His research is supported by multiple grants, most notably the FWF project ArtVis. He collaborates extensively with researchers across Europe, particularly with Silvia Miksch, Wolfgang Aigner, and Renata Raidou. He is a key member of the Visual Analytics research group at TU Wien, participating in interdisciplinary collaborations that bridge computer science with art history and digital humanities. His work on the ArtVis project exemplifies this approach, developing visualization techniques specifically tailored to address the research challenges faced by art historians studying artistic networks and influence.

• Computer Vision
• Pattern Recognition
• Digital Cultural Heritage
• +۳ مورد دیگر

FH-Prof. Dr. Markus Seidl is a Professor in the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. He leads the Creative Computing (BA) program and serves as interim head of the Media Computing Research Group within the Institute of Creative Media/Technologies. His roles include academic director and former Managing Director (2015–2020). Seidl holds a PhD in Computer Vision from TU Wien (2016) and has extensive experience in interdisciplinary projects, particularly in digital cultural heritage. His research focuses on computer vision techniques for analyzing rock art (petroglyphs) and enhancing museum experiences through multi-touch interfaces and BYOD integration. Key projects include the Europa Nostra-award-winning rock art analysis work and multi-touch table applications exhibited globally. He has supervised over 20 theses on topics like medieval manuscript analysis and AI-driven cultural artifact understanding. Notable contributions span 120+ publications, including work on 3D surface segmentation, flood level estimation from social media, and interactive museum technologies. His work bridges computer science with archaeology, design, and education, emphasizing experiential learning and technology-driven cultural preservation.

Klaus Muellerمشاهده پروفایل

استاد

• Visual Analytics
• Explainable Machine Learning and AI
• Algorithmic Fairness and Transparency
• +۷ مورد دیگر

Klaus Mueller is a Professor in the Computer Science Department at Stony Brook University , with additional appointments in Biomedical Engineering and Radiology. He serves as Director of the Visual Analytics and Imaging (VAI) Lab, Liaison for the SUNY Korea CS Program, and Interim Chair of the Department of Technology and Society . His career spans roles at Brookhaven National Lab and leadership positions at SUNY Korea. Dr. Mueller earned his PhD in Computer and Information Science (1998), MS in Computer and Information Science (1996), and MS in Biomedical Engineering (1990) from The Ohio State University , alongside a BS in Electrical Engineering (1987) from the Polytechnic University of Ulm, Germany. His research focuses on visual analytics , explainable AI , algorithmic fairness , computational imaging , and medical imaging . He has pioneered GPU-accelerated CT reconstruction techniques, bias mitigation frameworks (e.g., D-BIAS), and tools like DOMINO for causal reasoning. His work bridges data science , human-computer interaction , and medical applications , often integrating large language models for visualization tasks. Recent publications highlight advances in multivariate volume rendering , LLM-driven bias detection , and mDDPM-based medical image synthesis . His articles span IEEE Transactions , Nature Machine Intelligence , and conferences like IEEE VIS and ACM CHI . Award highlights include NSF CAREER (2000), SUNY Chancellor Award (2011), IEEE Golden Core Award (2016, 2022), induction into the National Academy of Inventors (2018), and elevation to IEEE Fellow (2024). He has chaired major conferences and served as Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (2019-2022). He teaches graduate and undergraduate courses in visualization , medical imaging , and GPGPU programming , and leads the Visual Analytics Seminar (CSE 648). His lab ( VAI Lab ) fosters interdisciplinary research in GPU-accelerated analytics and ethical AI.

• Human-Computer Interaction
• Information Visualization
• Web Usability
• +۴ مورد دیگر

Keith Andrews is an Associate Professor at the Graz University of Technology , affiliated with the Department of Human-Centred Computing. His research spans Human-Computer Interaction (HCI), Information Visualization, and Web Usability, with a focus on improving interactive tools, responsive design, and accessibility in data visualization. Andrews' work emphasizes practical applications, including the development of responsive SVG chart libraries and pedagogical strategies for teaching HCI to large undergraduate cohorts. His research integrates principles from Computer Science, User Experience (UX), and Software Engineering. Scientific Awards Best Paper Award at IWAIT 2019 Certificate of Appreciation 2006 Heinz Zemanek Preis 1998 Steirische Vielfalt visualisiert 2016 Recent publications highlight trends in Information Visualization , Responsive Web Design , and Active Learning algorithms. His projects, such as DYONIPOS and UX Day Graz, demonstrate a commitment to interdisciplinary collaboration and real-world impact.

David Mandlمشاهده پروفایل

پژوهشگر

• Virtual Reality
• Augmented Reality
• Diminished Reality
• +۶ مورد دیگر

David Mandl is a PhD researcher at the Institute of Computer Graphics and Algorithms (ICG) at Graz University of Technology. He is a member of Team Plopski, focusing on 3D registration methods, shape deformation, and applications in Virtual and Augmented Reality (VR/AR). His work includes projects like droneSpace and research on diminished reality, scene retargeting, and SLAM-based systems. Education: MSc in Computer Science (2016), Graz University of Technology Research Interests: David’s research spans Diminished Reality on mobile devices, retargeting of animations for AR, registration in SLAM systems, and shape deformation techniques. His contributions bridge computer vision and interactive systems, with applications in real-time rendering and mixed reality environments. Publications Trends: His work emphasizes cutting-edge techniques in AR/VR, including neural rendering (e.g., Neural Bokeh) and light probe learning for mixed reality illumination. Recent contributions also address video tutorial retargeting for AR applications. Labs/Teams: Active in the ICG’s Virtual Reality and Medical Image Processing research groups, contributing to projects like droneSpace and collaborative efforts with industry partners.

Henry Ehlersمشاهده پروفایل

پژوهشگر

• Network Visualization
• Graph Visualization
• Biological Network Visualization
• +۵ مورد دیگر

Henry Ehlers is a PreDoc Researcher and PhD Candidate at the Vienna University of Technology (TU Wien), working within the Faculty of Informatics, Institute of Visual Computing & Human-Centered Technology, specifically in the Computer Graphics Group (E193-02). He holds the position of University Assistant (Univ.Ass.) and is actively pursuing his doctoral studies under the supervision of Renata Raidou since 2021, with expected completion in 2024. His research focuses on advanced visualization techniques, particularly in the areas of network and graph visualization. Ehlers specializes in biological network visualization, compound graphs, uncertainty visualization, and data physicalization. His work bridges theoretical computer science with practical applications in visual analytics, creating innovative methods for representing complex network structures and making them accessible to domain experts. Analysis of his publication record reveals a strong emphasis on improving network visualization techniques, with particular focus on biological applications, uncertainty representation, and physical data representations. His research trajectory shows increasing sophistication in addressing visualization challenges across multiple domains including biology, environmental science, and social networks. Recent publications demonstrate his leadership in developing novel interaction techniques and visualization metaphors for complex data structures. Ehlers is actively involved in multiple research projects including ArtVis (2022-2027), SANE (2024-2027), and SMGV-Esprit (2024-2027), which support his research in visualization techniques. His collaborative approach is evident in his extensive co-authorship network across international institutions and research groups at TU Wien. As a member of the Visualization Group led by Renata Raidou, Ehlers contributes to the team's mission of developing innovative visualization solutions for complex data challenges. His work particularly focuses on creating more intuitive and effective ways to represent network structures through both digital and physical means, pushing the boundaries of how we interact with complex relational data.

Silvia Mikschمشاهده پروفایل

استاد

• Visualization & Visual Analytics
• Information Visualization
• Interaction Design
• +۸ مورد دیگر

Silvia Miksch is a Full Professor of Visual Analytics at the Vienna University of Technology (TU Wien), leading the Research Unit Visual Analytics (E193-07) and coordinating the Research Focus on Visual Computing and Human-Centered Technology. She holds a PhD from TU Wien and has held academic roles at institutions like Stanford University (FWF postdoc), Danube University Krems (2006–2010 as University Professor), and TU Wien. Her research focuses on visualization, visual analytics, interaction design, and temporal data analysis with applications in medical informatics, process engineering, and cultural heritage. Education: Master of Social and Economic Science (University of Vienna, 1987), PhD (TU Wien, 1990). Former roles include Chair of the Austrian Society for Artificial Intelligence (ÖGAI) and leadership in EU projects like VALCRI and KAVA-Time. She has authored over 200 publications and received awards such as the IEEE VGTC Visualization Technical Award (2023) and induction into the IEEE VGTC Visualization Academy (2020). Research interests include knowledge-assisted visual analytics, task-driven guidance systems, and spatiotemporal data exploration. She oversees the Laura Bassi Centre of Expertise 'CVAST' and advises numerous PhD and master’s students. Her work bridges theory and practice, with notable projects like the Marvel Cinematic Universe infographic (GD 2019 Best Creative Challenge) and Game of Thrones character networks (GD 2018 Third Prize). Key Awards: Best Paper Award at vis4dh 2019, IEEE VGTC Technical Award 2023 Editorial Roles: Associate Editor of Transactions on Visualization and Computer Graphics (2011–2015), Editorial Board of Journal of Biomedical Informatics (2012–2020) Leadership: Chair of EuroVis Steering Committee (2023–2027), Member of VIS Executive Committee (2015–2020)

Michael Bedekمشاهده پروفایل

پژوهشگر

• Cognitive Science
• Mathematical Modelling of Cognitive Processes
• Lattice Theory Applications
• +۴ مورد دیگر

Dr. Michael Bedek is a Researcher at the Department of Psychology , Natural Science Faculty , University of Graz . His work integrates cognitive science with mathematical modeling of cognitive processes, focusing on lattice theory applications for competence assessment, visual search, and edutainment. Current research emphasizes adaptive approaches in digital game-based learning and personalization in educational systems. Email: michael.bedek@uni-graz.at Projects: ITHACA, A+CHIS Research focus: Cognitive biases in visual analytics, adaptive health information systems, and formal concept analysis applications

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Gerlinde Emsenhuber is a Researcher in Creative Technologies specializing in Augmented Reality (AR), Virtual Reality (VR), and Health Informatics. She actively contributes to Salzburg-based research initiatives including EdTech Salzburg (2020-2024), AVAR (2020-2024), and Ecomedicine (2018-2020), focusing on optical see-through displays, breathing interfaces for VR, and health applications for frozen shoulder rehabilitation. Her work bridges computer science and healthcare through interdisciplinary collaboration. Her research centers on Human-Computer Interaction innovations for AR/VR systems, particularly eye-perspective rendering techniques to improve legibility in optical see-through head-mounted displays. In health informatics, she develops patient-centered solutions like interactive 3D health apps and mobile physiotherapy tools for frozen shoulder, emphasizing co-creation with end-users and practical clinical applications. Her work consistently addresses real-world challenges in medical rehabilitation through technological innovation. Emsenhuber's publications reveal strong trends toward multimodal interfaces and adaptive systems, with her 2022-2023 work highlighting advancements in perspective rendering for AR and novel breathing-based VR interactions. These outputs span computer graphics, wearable technology, and biomedical engineering, demonstrating integration of diverse fields to solve complex problems in immersive technologies and healthcare. Scientific Awards: Honorable Mention for Best Paper at ACM CHI 2022 for "AirRes Mask: A Precise and Robust Virtual Reality Breathing Interface Utilizing Breathing Resistance as Output Modality" She has secured continuous funding as Co-Investigator on five major projects (2017-2024), including EdTech Salzburg (focusing on augmented learning), AVAR (adaptive AR visualization), and Ecomedicine (digital health solutions). These Austrian-funded initiatives emphasize technology transfer, educational applications, and practical healthcare implementations through collaborations with Salzburg institutions. Emsenhuber actively participates in the Augmented Learning Lab and Ecomedicine research center, where she collaborates on developing health apps and VR interfaces. Her current AVAR project advances optical see-through display technology while her frozen shoulder rehabilitation work demonstrates commitment to improving patient outcomes through accessible mobile health solutions.

• Extended Reality (XR)
• Human-Computer Interaction (HCI)
• Privacy and Security
• +۳ مورد دیگر

Ass.-Prof. Dr. Pascal Knierim is an Assistant Professor at the Department of Computer Science, University of Innsbruck. He leads the Interactive Graphics and Simulation Group , focusing on Extended Reality (XR), Human-Computer Interaction (HCI), and privacy in digital environments. His research explores the societal impact of emerging technologies, including thermal imaging, drones, and AI integration with XR. Key areas of investigation include user perception in content blocking (e.g., 'Ad-Blocked Reality'), social behavior in VR (e.g., 'Navigating the Virtual Gaze'), and ethical design of mixed reality systems. His work bridges theoretical research with practical applications, such as privacy-aware smart home interfaces ('PriKey') and biometric identification via thermal imaging ('HotFoot'). Knierim’s publications often highlight trends in XR’s ethical implications, such as dark patterns in MR, and the intersection of AI with immersive technologies. His lab emphasizes collaboration, evidenced by contributions to frameworks like 'Lenssembly' for AR-based assembly instructions. His office hours are Monday to Friday, 09:00–13:00, and he is located at ICT 3N08, Technikerstraße 21a, Innsbruck.

• Ontology
• Automotive Industry
• Data Mining Techniques
• +۶ مورد دیگر

Christina Feilmayr is a Professor at the University of Applied Sciences Steyr, affiliated with the Research Center Steyr. Her work focuses on digital transformation and support for clinical core processes. Research Interests: She specializes in ontology engineering, data mining applications in automotive quality management, and accessible visual data representation through scalable vector graphics. Her research intersects computer science with industrial optimization and accessibility standards. Publication Trends: Her academic output spans Ontology frameworks for business applications (2016) Automotive process optimization using data mining (2014) Accessible SVG standards for tactile displays (2010) .

• Human–Data Interaction
• Data Visualisation
• Information Seeking Behaviour
• +۵ مورد دیگر

Laura Koesten is a data-centric human–computer interaction researcher at the University of Vienna, affiliated with the Research Group Visualization and Data Analysis and the Environment and Climate Research Hub . She teaches master-level and doctoral seminars on intelligent systems, design thinking, and visual analytics, and leads multiple courses each semester. Research Interests Koesten’s work sits at the intersection of human–data interaction , information visualisation , and algorithmic transparency . She investigates how individuals and communities find, interpret, trust, and communicate data, with particular attention to: Chart interpretation gaps and visual rhetoric Explainable & deliberative AI for non-experts Crisis & climate-change visualisations Visual data literacy assessment Dataset search, reuse, and storytelling practices Her research is strongly empirical, combining qualitative studies, controlled experiments, and prototype development to produce actionable design guidelines for more equitable data-centric systems. Publication Trends Since 2023 Koesten has published at an accelerating pace, co-authoring over thirty peer-reviewed contributions. The 2025 corpus already addresses interpretation gaps, tangible data interaction, crisis mapping, and stakeholder information needs in algorithmic governance, signalling a consolidation of human–data interaction as an integrated research programme bridging visualisation, AI transparency, and civic engagement. Scientific Awards & Funding No specific awards or grants are mentioned in the supplied text; the record is left empty pending further sources. Teaching & Supervision Koesten convenes or co-convenes six courses at the University of Vienna, ranging from introductory visualisation to doctoral research seminars on data and knowledge. Course codes indicate sustained involvement in both the master and PhD curricula; specific student names are not disclosed. Labs & Teams She is a core member of the Visualization and Data Analysis research group (two physical sites: Sensengasse 6 and Währinger Straße 29) and participates in the cross-faculty Environment and Climate Research Hub , positioning her at the centre of Vienna’s data-vis and climate-communication initiatives.