جست‌وجوی استاد و پژوهشگر

Ellen Richterمشاهده پروفایل

مربی

• Artificial Intelligence
• Machine Learning
• AutoML
• +۳ مورد دیگر

Ellen Richter is affiliated with Management Center Innsbruck (MCI), where she served as a Tutor for Algorithms & Data Structures from April to May 2021. Currently employed in Assistance & Project Management at MCI since October 2023, her academic background includes dual bachelor's degrees from the institution. Her educational qualifications: BA in Management, Communication & IT (2020-2022) B.Sc in Digital Business & Software Engineering (2019-2022) Office Management Assistant training (2016-2018) Business and Commerce diploma (2005-2009) Richter's research bridges artificial intelligence and business applications, with emphasis on practical AI implementation for non-technical domains. Her work explores how automated machine learning tools can democratize AI access for small enterprises and investigates psychological drivers of user interaction with conversational agents in media contexts. Her 2022 publications reveal a consistent focus on human-centered AI deployment, examining both technical feasibility (AutoML for SMEs) and behavioral aspects (chatbot engagement). This dual perspective highlights her interdisciplinary approach to solving real-world adoption barriers in digital transformation.

Elmar Rückertمشاهده پروفایل

استاد

• Robotics
• Machine Learning
• Industrial Automation
• +۳ مورد دیگر

Elmar Rückert is a Professor at the Chair of Cyber Physical Systems at Karlsruhe Institute of Technology. His work focuses on robotics, machine learning, and industrial automation with applications in environmental science and data-driven systems. Recent activities include invited talks on topics like Bayesian Optimization for control systems and deep learning in robotics. Research interests span tactile robot learning, privacy-aware AI, and sensor fusion for autonomous systems. He has published extensively in venues like IEEE International Conference on Robotics and AAAI Conference on Artificial Intelligence, with a strong emphasis on practical applications in industrial processes and environmental monitoring. Key contributions include the EnvoDat dataset for robotic spatial reasoning and methods for skill disentanglement in RKHS. His collaborative work extends to material science and environmental chemistry through partnerships on technology-critical element analysis.

• Conceptual Modeling
• Model-Driven Engineering
• Enterprise Architecture
• +۳ مورد دیگر

**Dominik Bork** is an Assistant Professor at the Department of Business Informatics within the Faculty of Informatics at TU Wien. His core research focuses on conceptual modeling, model-driven engineering, and the integration of artificial intelligence into enterprise systems. He leads projects such as the Network Lab and has coordinated initiatives like the Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen and MFP 4.2 Advanced Analytics for Smart Manufacturing . His work emphasizes GLSP-based web modeling tools , including the development of open-source platforms like BIGUML for UML modeling. He has published extensively on topics like knowledge graph transformation, accessibility in modeling tools, and AI-enhanced decision management. Bork actively contributes to academic communities through conference organizing roles and guest editorial work for journals like Enterprise, Business-Process and Information Systems Modeling . His research bridges theoretical advancements with practical applications in enterprise architecture and sustainable systems engineering. Education & Background : Holds titles including Dipl.-Wirtsch.Inf.Univ. and Dr.rer.pol., reflecting his interdisciplinary expertise in business informatics and economics. Key Contributions : - Developed CM2KGcloud , a web-based platform for conceptual model-to-knowledge graph transformation. - Pioneered EA ModelSet , a FAIR dataset advancing machine learning in enterprise modeling. - Authored influential papers on inclusive conceptual modeling for disability-aware tools. - Led efforts in model-based construction of enterprise architecture knowledge graphs . Grants/Projects : Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen (Principal Investigator) Digital Platform Enterprise (Principal Investigator) MFP 4.2 Advanced Analytics for Smart Manufacturing (Principal Investigator) Labs/Teams : Active in the Network Lab at TU Wien, focusing on cutting-edge research in modeling technologies and AI integration.

Markus Steinbergerمشاهده پروفایل

دانشیار

• GPU Computing
• Computer Graphics
• Parallel Processing
• +۳ مورد دیگر

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

• Palliative Care
• Systematic Review
• Mixed Methods
• +۳ مورد دیگر

Stefan Pitzer serves as a Research Associate at the Institute of Nursing Science and Practice, Paracelsus Medical University (PMU), where he contributes to advancing knowledge in palliative care, healthcare access, and evidence-based nursing practices. His academic profile shows consistent research productivity with publications spanning from 2014 to 2025 and involvement in multiple collaborative projects. Dr. Pitzer's research interests prominently feature Palliative Care (100% fingerprint match), Systematic Review methodologies (100%), Mixed Methods approaches (100%), and Symptomatic Treatment (100%). His work demonstrates particular expertise in identifying barriers to palliative care access in hospital settings and evaluating herbal medicine applications in long-term care environments. His recent publications (2023-2025) reveal a strategic focus on healthcare innovation through scoping reviews examining virtual agent-assisted telecare solutions and herbal medicine utilization by healthcare professionals. These works consistently address critical gaps in elderly care provision and access to specialized services. Among his notable contributions are collaborative publications on barriers to palliative care access in hospitals and comprehensive reviews of herbal medicine applications in long-term care settings. His research demonstrates strong interdisciplinary collaboration patterns, frequently working with researchers including P. Kutschar, P. Paal, and N. Nestler across multiple projects. Dr. Pitzer has been actively involved in significant research initiatives including PhideLA (Phytotherapy in Long-Term Care, 2023-2024), PiloTT-A (Pilot Testing of Virtual Telecare Technology, 2020-2022), and AM (Anima mentis mental health, 2017-2019). His project roles have evolved from contributor to project applicant, reflecting growing research leadership. His research fingerprint highlights strong connections to Herbaceous Agent (20%) and Demographic Factors (12%), indicating attention to medication management and population-specific care considerations in his work.

• Computer Vision
• Autonomous Driving
• 3D Reconstruction
• +۵ مورد دیگر

Ao.Univ.Prof. Margrit Gelautz is an Associate Professor at TU Wien's Computer Vision research department (E193-01), affiliated with the Institute for Software Technology and Interactive Systems (E188). Her work focuses on computer vision applications in autonomous driving, robotics, and 3D reconstruction. She leads projects on driver monitoring systems, vulnerable road user detection, and human-robot interaction. Recent research includes 3D bounding box prediction, synthetic data-driven pose estimation, and real-time sensor systems. She advises over 20 graduate students and collaborates on automotive platforms integrating vision-based safety systems. Her contributions span sensor fusion, stereo matching algorithms, and interactive video tools. Key projects include multimodal sensor-lighting systems for traffic safety, 3D scene completion, and intelligent workflow design for low-cost 3D film production. Her work emphasizes practical applications like in-cabin monitoring systems and adaptive lighting control. She develops semi-automatic annotation tools for traffic datasets and explores nonverbal communication in human-robot interaction using platforms like Pepper humanoid robots.

• Digital Humanities
• Theatre Studies
• Virtual Reality
• +۳ مورد دیگر

Nils Martin Gallist is a researcher at the Research Center Hagenberg, University of Applied Sciences Upper Austria, specializing in ICT through the Digital Media Lab. His work bridges technology and cultural expression with focus on virtual environments and interactive systems. Academic background includes a Bachelor of Science (BSc) and Master of Arts (MA). Research interests demonstrate deep integration of digital tools with artistic practices: Digital Humanities: Analyzing how virtual platforms transform theatrical production and audience engagement Metaverse Applications: Developing digital twins for tourism and cultural heritage preservation Human-Computer Interaction: Evaluating user experience across collaborative platforms like Mozilla Hubs and Microsoft Teams Interactive Storytelling: Designing narrative systems where audience choices shape hybrid performances Recent publications reveal a trajectory toward applied VR solutions for cultural institutions, emphasizing comparative platform analysis and user-centered design in virtual theatre contexts. The work consistently connects technical innovation with humanities research frameworks. Active in the Digital Media Lab ecosystem, Gallist contributes to Austria's ICT research landscape through conference organization and collaborative projects exploring the convergence of physical and virtual performance spaces.

Haisen Zhaoمشاهده پروفایل

استاد

• Computer Graphics
• Digital Fabrication
• Additive Manufacturing
• +۵ مورد دیگر

Haisen Zhao is a Professor at Shandong University (SDU), affiliated with the School of Computer Science and Technology and the Interdisciplinary Research Center. His research focuses on geometric processing and digital fabrication, including additive and subtractive manufacturing. He completed his PhD at SDU in 2018 under Baoquan Chen, followed by postdoctoral research at the University of Washington (with Adriana Schulz) and IST Austria (with Bernd Bickel). He has authored over 20 top-tier publications in venues like ACM SIGGRAPH/Asia and IEEE TVCG, and holds multiple patents. Education: PhD in Computer Science (2018, SDU), Master’s (2014, SDU), and Bachelor’s (2011, SDU). Key awards include the CCF Doctoral Dissertation Award (2019) and Shandong Natural Science Award (2020). He leads a research group focused on advanced manufacturing techniques, advising PhD and Master’s students in areas like robotics, computer-aided design, and fabrication optimization. Teaching responsibilities include courses on computer graphics, human-computer interaction, and advanced topics for both undergraduates and graduates. His lab actively explores hybrid manufacturing strategies, inverse design methods, and robotic fabrication systems. Recent projects include neural accessibility learning for CNC machining and generative design for microstructure fabrication.

Donald Degraenمشاهده پروفایل

استادیار

• Haptics
• Virtual Reality
• Fabrication
• +۳ مورد دیگر

Donald Degraen is an Assistant Professor and Lecturer at the University of Canterbury, affiliated with the HIT Lab NZ, a leading research center in New Zealand. His work focuses on the intersection of haptics, fabrication, and virtual reality, with a particular emphasis on designing touch experiences and novel interaction methods. His research explores tools and techniques for generating tactile textures, sensory substitution for object detection, and collaborative haptic design. Donald’s research spans immersive technologies, including studies on virtual reality (VR) and augmented reality (AR) applications such as cycling exergames, wind-based haptic feedback, and eco-friendly gamification. He has contributed to frameworks for integrating smart devices into VR environments and enhancing tactile experiences through 3D-printed metamaterials. His work often bridges physical and digital realms, emphasizing sustainability and user-centered design. Key projects include TactStyle (generative AI for tactile textures), Spatial Haptics (sensory substitution methods), and Collaborative Haptic Experience Design (on-body vibrotactile patterns). Donald actively collaborates on interdisciplinary projects, leveraging his expertise in both technical and applied aspects of human-computer interaction. His research has been published in top-tier venues, with recent contributions exploring adaptive feedback systems, pseudo-force rendering in VR, and gamified eco-behavioral interventions. Donald is also involved in prototyping tools like AmbiPlant and Vrysmart, which aim to enhance real-world interactions through ambient and smart technology integration.

• Assistive Technology
• Human-Computer Interaction
• Accessibility Engineering
• +۳ مورد دیگر

Christoph Veigl is a Senior Lecturer at Technikum Wien, focusing on assistive technology and accessibility engineering. His work emphasizes developing open-source solutions for individuals with disabilities, such as the AsTeRICS platform and the FLipMouse input device. He leads research in smart home accessibility, IoT integration, and user-centered design methodologies. Veigl's research interests include assistive technologies for communication, environmental control, and motor impairment solutions. His team develops tools like the Universal Access Panel for IoT-enabled smart homes and the AsTeRICS Grid framework for AAC systems. He collaborates internationally on projects addressing accessibility in gaming, embedded systems, and cross-cultural education. Veigl's publications highlight innovations in eye-tracking calibration, middleware for application integration, and standards for assistive technology design. His work bridges electrical engineering, biomedical engineering, and computer science to create inclusive technologies. Key contributions include over 24 peer-reviewed articles since 2001, with recent focus on democratizing AAC through open-source software and enhancing accessibility in emerging technologies.

• Machine Learning
• Cognitive Science
• Virtual Reality (VR)
• +۳ مورد دیگر

Adrian Vulpe-Grigorasi is a Junior Researcher at the Center for Digital Health and Social Innovation , affiliated with the Institute of Health Sciences at FH Steyr (FHSTP.ac.at). He holds BEng and MEng degrees and specializes in interdisciplinary research at the intersection of machine learning, cognitive science, and biomedical engineering. His research focuses on: Cognitive load assessment using VR systems and biosensors Development of multimodal machine learning frameworks for health monitoring Applications of GANs in ECG analysis and synthetic data generation Energy systems optimization through data-driven approaches Key projects include: Realistic clinical XR training systems Attention performance classification via eye tracking Smart grid forecasting with GAN data augmentation Adrian has published in conferences such as IEEE Informatics, CGI, and ACM MUM. His work bridges theoretical machine learning advancements with practical healthcare and energy applications.

• Internet of Things (IoT)
• Industry 4.0
• Digital Healthcare
• +۵ مورد دیگر

Christian Jandl is a Researcher and Head of the Digital Technologies Research Group at the Institute of Creative Media/Technologies, University of Applied Sciences St. Pölten. He holds a Master's in Media Technology (specializing in Mobile Internet) from FH St. Pölten (2010–2016) and has been a researcher there since 2016. His work focuses on IoT, Industry 4.0, digital healthcare, and usability. Research & Projects: Leading 20+ projects including DPP4Food (digital supply chain), SensiTrack (privacy-aware IoT tracking), and IoT4LAC (community IoT solutions) Explores tracking systems in manufacturing, healthcare usability, and industrial asset management Develops privacy-by-design frameworks for industrial IoT applications Publications & Impact: Over 15 peer-reviewed articles on topics like privacy in tracking systems, industrial quality control, and AR in production Key contributions to Bluetooth-based asset tracking (BlueDAT framework) and auditory process monitoring Labs & Collaboration: Immersive Media Lab for VR/AR applications Focus on Industry 4.0 initiatives and enterprise asset tracking solutions

• Forest Growth
• Forest Monitoring
• Forest Inventory
• +۹ مورد دیگر

Arne Nothdurft is a University Professor for Forest Monitoring at the University of Natural Resources and Life Sciences (BOKU) in Vienna, Austria, where he chairs the Institute of Forest Growth within the Department of Forest and Soil Sciences. With a career spanning over two decades in forest research and academic leadership, he has established himself as a leading expert in advanced forest inventory techniques and forest growth modeling. Professor Nothdurft's research focuses on the application of cutting-edge technologies in forest monitoring, particularly LiDAR and personal laser scanning systems for forest inventory. His work bridges the gap between traditional forestry practices and modern digital solutions, with emphasis on mixed species forest management, climate change adaptation, and the development of smart forestry systems. His research interests encompass forest growth modeling, tree species classification using point cloud data, and the development of spatial prediction models for forest inventory parameters. His recent publications demonstrate a strong trend toward integrating artificial intelligence with forestry applications, particularly in the analysis of 3D point cloud data from laser scanning technologies. His work spans both theoretical advancements in spatial statistics and practical applications for forest managers, with a particular focus on improving the accuracy and efficiency of forest inventory systems. Thurn und Taxis Förderpreis für die Forstwissenschaft (2008) Professor Nothdurft has supervised numerous master's and doctoral theses, primarily focused on the application of laser scanning technologies in forestry, forest inventory optimization, and growth modeling. His research is supported by multiple ongoing projects funded by Austrian research agencies and federal ministries, with a strong emphasis on practical applications for forest management. He leads the Institute of Forest Growth, which maintains the Lehrforst Rosalia long-term forest monitoring site, and collaborates extensively with the Institute of Forest Engineering on smart forestry initiatives.

• History Didactics
• Serious Games
• Gamification
• +۵ مورد دیگر

Dr. Alexander Preisinger serves as a Senior Lecturer at the Department of History within the Faculty of Historical and Cultural Studies at the University of Vienna. His work bridges historical education with digital innovation, focusing particularly on the integration of games and interactive media in teaching methodologies. He also holds positions as an external lecturer at the University of Performing Arts and Music Vienna since 2009 and teaches at the Schumpeter Business Academy/Business School since 2011. Preisinger completed his teacher training in multiple disciplines including German, History, Social Studies, Political Education (2002-2007), and Psychology and Philosophy (2003-2011). He earned his doctorate from the University of Duisburg-Essen with a dissertation titled "Narrating Neoliberal Economy. Criticism of Capitalism in Literature around 2000" (2009-2013). His research centers on innovative approaches to history education through digital media, with particular expertise in serious games, gamification, and computer games for historical and political education. Preisinger has developed numerous educational resources including the textbook "Schlagwort Geschichte" and co-authored "Digitale Spiele in der Politischen Bildung und im Geschichtsunterricht." His extensive publication record demonstrates a clear trajectory toward integrating game-based learning into historical and political education. Recent works focus on practical applications of digital games in classrooms, critical analysis of historical representation in games, and developing frameworks for active, agency-based learning in history education. His research spans multiple disciplines including educational technology, game studies, history didactics, and political science. Preisinger maintains an active presence in educational development through workshops, conference presentations, and collaborative projects. His organizational work includes the GameLab initiative at the University of Vienna and numerous workshops exploring the intersection of gaming and education across various historical and political contexts.

• Wildlife Management
• Wildlife Ecology
• Wildlife Physiology
• +۴ مورد دیگر

Paul Griesberger is a Senior Researcher at the Institute of Wildlife Biology and Game Management under the University of Natural Resources and Life Sciences, Vienna , where he has contributed to both basic and applied research since 2017. He completed his Master’s in Wildlife Ecology and Wildlife Management (2014–2017) and Bachelor’s in Biology (Zoology) (2010–2014). Key research areas: Wildlife Management, Wildlife Ecology, Wild Ungulates, Spatio-Temporal Modeling, GPS Telemetry His recent work integrates decision-support tools for sustainable ungulate management, mathematical approaches like Benford’s Law for telemetry data validation, and climate adaptation strategies for forest protection. Collaborations span EU institutions and national parks. His 14 publications (2018–2025) focus on wild ungulate behavior, interspecies competition, telemetry analytics, and canid morphology, with methodologies bridging ecology, statistics, and conservation policy. He has advised 4 Master’s students and contributed to practical guidelines for red deer and chamois management. Scientific awards: Granser-United Global Academy Forschungspreis für eine Nachhaltige Jagd (2022) YO Research Award by CIC (2020) Nationalpark Hohe Tauern stipend (2021)