جست‌وجوی استاد و پژوهشگر

Claus Lammمشاهده پروفایل

استاد

• Empathy
• Prosocial Behavior
• Social Neuroscience
• +۵ مورد دیگر

Claus Lamm is a Full Professor of Biological Psychology at the University of Vienna , where he leads the Social, Cognitive and Affective Neuroscience Unit (SCAN-Unit) . He serves as Vice Dean for Research and Advancement of Early Career Researchers at the Faculty of Psychology and holds affiliations with the Vienna Cognitive Science Hub , Environment & Climate Change Hub , and Austrian Academy of Sciences . His academic career spans international collaborations and formative research experience abroad. Scientific Focus: Lamm investigates the neural underpinnings of empathy and prosocial behavior , employing multi-modal approaches combining neuroimaging, psychopharmacology, and psychoneuroendocrinology . His work extends to comparative studies with ravens and dogs, and explores environmental social neuroscience through climate change decision-making research. Recent publications show trends in cross-cultural psychology , machine learning applications , and neurobiological pathways related to social behavior. Awards & Grants: Recipient of the APS Mentor Award for his support of early career researchers. Funded by European Research Council , Austrian Science Fund , Vienna Science and Technology Fund , and intramural grants exceeding €10 million. Key projects include "Unravelling the opioid system in empathy" and "Comparative dog-human fMRI" . Media Engagement: A prominent public science communicator, Lamm has appeared in Nature , Science Magazine , and Austrian media outlets like Ö1 Mittagsjournal and ORF2 , discussing topics from pandemic psychology to social media effects . He maintains active outreach through Science TV and educational programs .

Celso Grebogiمشاهده پروفایل

استاد

• Nonlinear and complex dynamical systems
• Chaos theory
• Fractal geometry
• +۵ مورد دیگر

Professor Celso Grebogi, Sixth Century Chair in Nonlinear & Complex Systems at the University of Aberdeen, is a globally recognized leader in nonlinear dynamics , chaos theory , and systems biology . He founded the Institute for Complex Systems and Mathematical Biology and co-founded the Aberdeen-Lanzhou-Tempe Research Centre. His career spans institutions including University of Maryland, University of São Paulo, and Max-Planck-Society (External Scientific Member since 1998).

Constantine Stephanidisمشاهده پروفایل

استاد

• Human Computer Interaction
• Universal Access
• Design for All
• +۵ مورد دیگر

Constantine Stephanidis is a Professor at the Department of Computer Science, University of Crete, and Director of the Institute of Computer Science at the Foundation for Research and Technology - Hellas (FORTH). He also serves as Head of the Human-Computer Interaction Laboratory, Centre for Universal Access and Assistive Technologies, and the Ambient Intelligence Programme of ICS-FORTH. Additionally, he is faculty of the Interdepartmental Graduate Programme in the BRAIN and MIND sciences of the University of Crete, and President of the Board of Directors of the Science and Technology Park of Crete. His research focuses on Human-Computer Interaction, Universal Access, and Assistive Technologies. Dr. Stephanidis introduced the concept and principles of Design for All in Human-Computer Interaction in the early 1990s. His work spans multiple areas including ambient intelligence environments, universally accessible game design, and health telematics. He has pioneered approaches to making technology accessible to diverse user populations, with particular attention to context-aware and adaptive interfaces that accommodate varying user needs and abilities. Prof. Stephanidis has published over 350 technical papers and edited several influential books including "The Universal Access Handbook" (2009) and "User Interfaces for All" (2001). His publication record shows a consistent focus on making technology accessible to all users, with recent work emphasizing ambient intelligence environments, universally accessible gaming, and health telematics applications. His research demonstrates a progression from foundational work on universal access principles to more specialized applications in various domains. ERCIM WG Award (2000) ERCIM Information and Communication Science and Technology Award (ICST 1999) Over the past 25 years, Prof. Stephanidis has served as Scientific Responsible for more than 40 European Commission and nationally funded projects. He has held leadership roles in numerous academic and policy initiatives, including serving as Editor-in-Chief of the Springer journal "Universal Access in the Information Society," Founding Chair of the ERCIM Working Group "User Interfaces for All," and General Chair of the International Conference 'Universal Access in Human-Computer Interaction.' He has also been actively involved in European Commission R&D Policy on Information Society, serving on various committees including the FP6 Information Society Technologies Management Committee and the eAccessibility Expert Group. He founded and leads the Human-Computer Interaction Laboratory, the Centre for Universal Access and Assistive Technologies, and the Ambient Intelligence Programme at ICS-FORTH. These research units form an integrated ecosystem focused on developing inclusive technologies that adapt to diverse user needs and contexts. His teams have been instrumental in shaping European research agendas in universal access and accessibility.

• Brain-Computer Interface
• Biomedical Engineering
• Neuroprosthetics
• +۵ مورد دیگر

Prof. Dr. Gernot R. Müller-Putz is Head of the Institute of Neural Engineering and the Graz Brain-Computer Interface Lab at Graz University of Technology. He serves as Dean of the Faculty of Computer Science & Biomedical Engineering and holds editorial roles at Frontiers in Human Neuroscience IEEE Transactions in Biomedical Engineering Brain-Computer Interface Journal . With over 212 peer-reviewed publications and an h-index of 80, his research focuses on Brain-Computer Interfaces , Neuroprosthetics , and EEG-based Motor Control . His work investigates: Neural signal decoding for spinal cord injury rehabilitation Hybrid BCI systems with error processing Artificial sensory feedback mechanisms Machine learning applications in neural engineering VR-based neurofeedback environments Non-invasive multimodal biosignal recording Research trends show strong emphasis on EEG signal processing , BCI clinical applications , and neurotechnology integration . Scientific Awards : ERC Consolidator Grant (2015) Ludwig-Guttman Award (2017) CYBATHLON Best Paper (2019) State of Styria Research Award (2019) Förderstipendium (2013-2014) He advises 21 PhD students and has managed major projects like MoreGrasp (EU Horizon 2020) , Feel Your Reach (ERC) , and INTRECOM (EU EIC Pathfinder) . The Institute hosts the BCI Racing Team Mirage91 and offers international thesis opportunities.

• Philosophy of Science
• Philosophy of Statistical Mechanics
• Philosophy of Mind
• +۸ مورد دیگر

Orly Shenker is a Professor at The Hebrew University of Jerusalem, specializing in Philosophy of Science, Philosophy of Mind, and Foundations of Physics. Her work focuses on reductive type-identity physicalism, particularly in "Flat Physicalism," which challenges non-reductive approaches by analyzing statistical mechanics and computational neuroscience. She collaborates extensively with Meir Hemmo and has directed the Sidney M. Edelstein Center for the History and Philosophy of Science, Technology and Medicine. 2024: Modelling Thought vs. Brain 2023: Computational Neuroscience and Physicalism 2022: Thermodynamics, Levels of Reality, Quantum Interpretation Her recent research explores the implications of quantum mechanics and computational theories for metaphysical frameworks, arguing against the universal validity of thermodynamic laws and functionalism. Scientific awards include the Eleanor Roosevelt Chair and directorship of the Edelstein Center. She has held academic positions at Haifa University, Open University of Israel, and London School of Economics.

• Work Psychology
• Organizational Psychology
• Economic Psychology
• +۳ مورد دیگر

Bettina Kubicek is Professor of Work and Organizational Psychology at the University of Graz, Faculty of Natural Sciences, where she leads research in the Smart Regulation profile area and contributes to the Human Factor in Digital Transformation and Brain and Behavior research networks. Her work bridges psychological theory with practical organizational challenges in contemporary workplaces. Her research spans work psychology, organizational psychology, and economic psychology with emphases on flexible work arrangements, work intensification, and human-robot collaboration. She investigates cognitive demands of flexible work, work-home interface dynamics, and digital transformation impacts through diary studies and experimental designs. Recent work explores telework challenges, AI in HR, and trust mechanisms in human-robot teams during disaster response. Analysis of her recent publications reveals growing focus on human-robot interaction in Industry 4.0, cognitive aspects of telework, and cross-cultural validation of work addiction scales. Her methodology combines intensive longitudinal designs with physiological measures, increasingly incorporating VR interfaces and AI-driven personnel selection experiments. Scientific awards include: Wirtschaftskammerpreis for project 'Flexible Arbeitsbedingungen und die Vereinbarkeit von Beruf und Familie' (2015) Innovationspreis der Universität Wien (2012) Multiple research stipends for University of Wisconsin-Madison stays (2005-2008) She has secured significant competitive grants including FWF-funded 'Cognitive demands of flexible work: Risks and challenges' (2017-2022) and FFG-supported 'Enabling and Assessing Trust when Cooperating with Robots in Disaster Response' (2021-2023), examining trust calibration and cognitive load in human-robot teams. Current projects address evidence-based guidelines for ICT use in work-life boundaries. As core member of the Human Factor in Digital Transformation network, she collaborates with engineers, computer scientists, and healthcare professionals to develop human-centered technological solutions, particularly in healthcare robotics and disaster response systems.

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

Matteo Bosco is a PreDoc Researcher at the Department of Software Technology and Interactive Systems, TU Wien, within the Virtual and Augmented Reality group. His work focuses on advancing human-computer interaction in immersive environments, particularly through conversational agents, neurotechnology integration, and circular economy frameworks. He contributes to the Circular Twin research project, addressing sustainable building design through digital twins and generative algorithms. Education & Roles: PreDoc Researcher (PhD candidate) at TU Wien Research Interests: His primary areas include: VR/AR interfaces enhanced by large language models BCI-driven human-robot interaction systems Procedural building design using conversational AI Sustainable architecture via circular twin frameworks He explores how immersive technologies can bridge human-centric design with computational efficiency, emphasizing accessibility and environmental sustainability. Key Projects: Circular Twin (2022–2025): Developing digital ecosystems for circular buildings using BIM and VR. Neurotag Visualization Media: Comparing AR/VR/monitor-based BCI interfaces. Labs & Teams: Active in the Mixed Reality Lab and collaborates with the Virtual Meeting Room initiative at TU Wien.

Antonio Rodríguez-Sánchezمشاهده پروفایل

دانشیار

• Explainable AI
• Computational Neuroscience
• Deep Learning
• +۴ مورد دیگر

Antonio Rodríguez-Sánchez is an Associate Professor in the Intelligent and Interactive Systems group at the Department of Computer Science, Universität Innsbruck (since 2019). He holds a PhD from York University (2010) and has held academic roles in Austria, Canada, and Spain. His research focuses on Explainable AI, computational neuroscience, deep learning, computer vision, robotics, and medical imaging. Education: PhD in Computer Science, York University (Canada), 2010 M.Sc. in Computer Science, Universidade da Coruña (Spain), 1998 B.Sc. in Computer Science, Universidad de Córdoba (Spain), 1996 3-year Bachelor in Biology, Autonomous University of Madrid (Spain), 1998–2001 Research Interests: His work bridges AI and neuroscience, emphasizing explainable systems, medical imaging analysis, robotics, and deep learning applications. Recent trends in publications highlight advancements in healthcare AI (REM sleep disorder prediction), robotic recycling, and computer vision for environmental monitoring. Teaching & Advising: Teaches courses like Deep Learning, Computer Vision, and Algorithms. Supervises PhD/MSc students (e.g., Safoura Rezapour-Lakani, Sebastian Stabinger). Active in EU-funded projects like PaCMan (FP7-ICT) and IntellAct. Labs & Projects: Leads research in the Intelligent and Interactive Systems group, focusing on interdisciplinary AI applications. Projects include automated avalanche detection and robotic recycling systems.

Stefan Lengauerمشاهده پروفایل

پژوهشگر

• Visual Analytics
• 3D Object Retrieval
• Image Processing
• +۴ مورد دیگر

Stefan Lengauer is a Senior Researcher at the Institute of Visual Computing (IVC), Graz University of Technology. His work bridges cultural heritage analysis and health informatics through advanced visualization techniques. PhD in Computer Science (2022), Graz University of Technology MSc in Space Sciences (2018), TU Graz BSc in Computer Science (2014-2022) and Aviation (2015), FH JOANNEUM Research focuses on visual analytics , 3D object retrieval , and cross-modal search , with applications in: Medical domains (diabetes care, health information systems) Cultural heritage (pottery analysis, fragment matching, digital restoration) Pattern recognition (geometric motifs, surface textures) Recent publications highlight trends in adaptive visualization (2024-2025) and 3D cultural heritage analysis (2021-2023). Key projects include: HEREDITARY (2024-present): HORIZON Europe project on gut-brain interaction A+CHIS (2020-present): FWF research group on adaptive health information systems CrossSAVE-CH (2019-2022): Cross-modal search in cultural heritage Scientific recognition includes: Best Challenge Entry (2024) Honorable Mention (2020) PhD distinction (2022) Mentored 12+ students in topics ranging from medical chatbots to 3D pottery analysis . Reviewing activities span journals like Springer Nature and conferences including WSCG.

Hsiang-Yun Wuمشاهده پروفایل

پژوهشگر ارشد

• Information Visualization
• Visual Analytics
• Biological Network Visualization
• +۱۳ مورد دیگر

Hsiang-Yun Wu is a Research Fellow at the Computer Graphics department of Vienna University of Technology (TU Wien), actively contributing to information visualization and visual analytics. Her work spans biological network visualization, graph drawing, schematic network maps, and data physicalization, with a focus on interactive techniques and human-centric design. Projects: ArtVis (2022–2027) , SANE (2024–2027) , SMGV-Esprit (2024–2027) , and HumAlgo (2018–2023) . Affiliations: Member of the Visualization Group at TU Wien. Her recent publications emphasize uncertainty visualization, network physicalization, and dynamic graph representations. Notably, she received the EuroVis 2019 Honorable Mention Award for optimizing stepwise animations. Wu supervises diploma theses in areas like metabolic pathway visualization and semantic-aware character animation. Key research trends include integrating biological data with urban-style schematic maps ( Metabopolis ), physicalization workflows for anatomical education ( Slice and Dice ), and mixed labeling strategies in 3D environments.

Elmar Rueckertمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Robotics
• Machine Learning
• +۹ مورد دیگر

Prof. Elmar Rueckert is the Chair of the Cyber-Physical-Systems Institute at Montanuniversität Leoben in Austria since March 2021. He holds a PhD in Computer Science from TU Graz (2014) and previously served as a Senior Researcher at TU Darmstadt (2014–2018) and Assistant Professor at the University of Lübeck (2018–2021). His research focuses on Cyber-Physical Systems, Robotics, Machine Learning, and Human Motor Control, with applications in industrial automation, healthcare robotics, and environmental sustainability. Key research interests include stochastic machine/deep learning, reinforcement learning, brain-computer interfaces, and tactile learning. His work bridges robotics, neuroscience, and AI, emphasizing practical applications such as autonomous navigation, exoskeleton control, and sensor-based recycling technologies. Rueckert has led projects like the AI Robot Lab funded by Robert Bosch Stiftung and the KIRAMET recycling initiative. Recent publications highlight advancements in neural networks for industrial condition monitoring, multimodal robotic learning, and environmental infrastructure modeling. Awards include the German Young Researcher Award (2019) and the Advanced Robotics Best Paper Award (2018). Rueckert advises a team of researchers, including notable students like Daniel Tanneberg (PhD graduate, 2019) and Linus Nwankwo (best student paper winner, 2023). His lab develops open-source tools like ROMR and collaborates on datasets like EnvoDat for robotic spatial reasoning.

Ramin Hasaniمشاهده پروفایل

پژوهشگر

• Machine Learning
• Robotics
• Neural Networks
• +۳ مورد دیگر

Ramin Hasani is a researcher at TU Wien's Cyber-Physical Systems department. He holds a Dr.techn. (Doctor of Engineering) and specializes in machine learning applications for robotics, control systems, and biologically-inspired neural networks. His work focuses on developing interpretable neural architectures like Liquid Time-Constant Networks and Neural Circuit Policies, emphasizing safety and stability in autonomous systems. Hasani's research bridges neural network theory with practical robotics challenges, including autonomous racing, medical data analysis, and adversarial robustness. Key research areas include continuous-time neural networks, formal verification of neural ODEs, and bio-inspired control mechanisms derived from biological neural circuits (e.g., Caenorhabditis elegans). He collaborates extensively with institutions like MIT and ETH Zurich, contributing to projects in health-monitoring systems and end-to-end robot learning frameworks. His publications consistently address real-world challenges such as sepsis prediction via reinforcement learning and robust CNN architectures for image classification. Recent work highlights include developing stable recurrent networks through Gershgorin loss functions and advancing zero-shot transfer learning for autonomous systems. Hasani's interdisciplinary approach integrates principles from neuroscience, control theory, and machine learning to create auditable, high-performance AI solutions for cyber-physical environments.

Eduard Gröllerمشاهده پروفایل

استاد

• Visual Computing
• Scientific Visualization
• Volume Visualization
• +۵ مورد دیگر

Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.

Denis Kalkofenمشاهده پروفایل

دانشیار

• Virtual Reality
• Mixed Reality
• Augmented Reality
• +۵ مورد دیگر

Dr. Denis Kalkofen serves as an Associate Professor at the Institute of Computer Graphics and Vision (ICG) at Graz University of Technology, Austria. His academic journey began with a Dipl.-Ing. (2004) from the University of Magdeburg, followed by a Dr. techn. (2009) from Graz University of Technology. University of Magdeburg - Dipl.-Ing. (2004) Graz University of Technology - Dr. techn. (2009) University of Michigan, Ann Arbor - Virtual Reality Laboratory member Stanford University - Visiting Assistant Professor at Computational Imaging Laboratory (2019) University of South Australia - Visiting Researcher at Wearable Computer Laboratory (2019) Dr. Kalkofen's research centers on developing visualization, interaction, authoring, and display technologies for Virtual and Mixed Reality environments, with particular emphasis on combining computer graphics and computer vision techniques to create comprehensible and accessible VR/MR experiences. His work spans situated visualization (addressing label placement and X-ray visualization), photometric rendering (recovering lighting properties for realistic AR), and content creation automation (leveraging existing data sources for AR content). His publication trends over the past 15+ years demonstrate consistent leadership in AR/MR research, evolving from foundational work on visualization techniques to current cutting-edge research in neural rendering, neuroadaptive systems, and industrial AR applications. Recent work shows increased focus on practical industrial implementations, error management in AR assembly, and multimodal learning applications. Best paper award for 'enRoute: Dynamic path extraction from biological pathway maps' (2012) Best short paper for 'TutAR: Augmented Reality Tutorials for Hands-only Procedures' (2018) Best paper for 'Tools for Teaching Mining Students in Virtual Reality' (2020) Honorable Mention for Best Paper for 'Adaptive User-Perspective Rendering' (2017) Dr. Kalkofen leads Team Kalkofen at ICG, supervising researchers including Peter Mohr, Shohei Mori, David Mandl, and Ana Stanescu. His team has secured significant funding for projects related to AR/VR content creation, visualization techniques, and industrial applications. They maintain strong collaborations with institutions including Stanford University, University of South Australia, and University of Michigan. Team Kalkofen operates within the Institute of Computer Graphics and Vision at TU Graz, focusing on three main research thrusts: situated visualization for AR, photometric rendering for realistic MR, and automated content creation for professional AR applications. The team maintains active partnerships with industry and academic institutions worldwide, contributing to the advancement of practical AR/MR technologies.

Theresa Rienmüllerمشاهده پروفایل

استادیار

• Biomechanics
• Biomedical Engineering
• Bioelectronics
• +۳ مورد دیگر

Theresa Rienmüller serves as Assistant Professor at the Institute of Biomechanics, Graz University of Technology (TU Graz), Austria since March 2025, following prior appointments at TU Graz's Institute of Health Care Engineering (2019-2025) and research roles at UMIT and TU Graz dating back to 2008. Her academic foundation includes a Ph.D. in Technical Sciences from UMIT (2013) and an M.Sc. in Telematics from TU Graz (2008). Her research integrates computational modeling with experimental biology to address complex physiological challenges, focusing on bioelectronic neural stimulation , cardiovascular dynamics , and tissue engineering . She pioneers the application of organic semiconductors for light-controlled neuromodulation and cardiac excitation, developing innovative solutions for traumatic brain injury recovery and regenerative medicine. Her methodology uniquely combines in vitro cell experiments with in silico system theory models to simulate physiological processes. Recent publications (2021-2025) reveal a dominant trend toward organic bioelectronics for neural/cardiac applications, with significant contributions in microfluidic diagnostics , cancer bioelectricity modeling , and AI-driven medical imaging . Her work consistently bridges fundamental biophysics with translational medical device development, emphasizing precision control of biological systems through engineered interfaces. As Co-PI of the Austrian Science Fund (FWF) project “LOGOS-TBI” (2019-2024), she advanced light-controlled implants for brain injury regeneration, and currently leads the “Microfluidic Platform” project (2024-2026) for point-of-care diagnostics. These grants reflect her leadership in securing competitive funding for interdisciplinary biomedical engineering research, with ongoing collaborations spanning Harvard University, European medical device centers, and clinical partners. Dr. Rienmüller maintains active research partnerships through TU Graz's Institute of Biomechanics, leveraging shared facilities for organic semiconductor fabrication , electrophysiology , and computational modeling . Her international network includes the Beth Israel Deaconess Medical Center (Harvard) and LAAS-CNRS in France, facilitating cross-border innovation in bioelectronic medicine and diagnostic technologies.