جست‌وجوی استاد و پژوهشگر

Horst Bischofمشاهده پروفایل

استاد

• Computer Vision
• Medical Computer Vision
• Object Recognition
• +۴ مورد دیگر

Horst Bischof is a Professor at the Institute for Computer Graphics and Vision at Graz University of Technology, Austria, and serves as Vice Rector for Research. He holds an M.S. and Ph.D. from Vienna University of Technology and a Habilitation (venia docendi) in applied computer science. His research focuses on computer vision, medical image processing, and robot vision, with over 750 peer-reviewed publications. He has organized major conferences like CVPR 2015 and ECCV 2018, and serves on editorial boards of prestigious journals. Key awards include the Most Influential Paper over the Decade Award (MVA 2019), Jan Konderink Award (ECCV 2018), and the 29th Pattern Recognition Award (2002). His work spans object recognition, medical computer vision, and visual learning. He leads research teams in robot vision and collaborates with industry partners like Infineon Technologies. Current projects include LiDAR-based sensing systems, autonomous vehicle technologies, and medical imaging solutions like MedEyeTrack for eye tumor treatment. His research emphasizes practical applications in robotics, automotive, and healthcare sectors.

Thomas Strasserمشاهده پروفایل

پژوهشگر

• Landscape ecology
• Habitat mapping
• Geomorphometry
• +۲ مورد دیگر

Thomas Strasser is a Researcher at the Department of Geoinformatics (Z_GIS) within the Faculty of Natural and Life Sciences at the University of Salzburg, located at Schillerstraße 30, 5020 Salzburg, Austria. Dr. Strasser's research focuses on several interconnected areas of geospatial analysis and environmental science. His primary research interests include: Landscape ecology - examining the relationships between ecological processes and landscape patterns Habitat mapping - creating detailed representations of ecological habitats Geomorphometry - quantitative analysis of landforms and terrain characteristics Remote sensing - utilizing satellite and aerial imagery for environmental monitoring Object-based image analysis - advanced techniques for interpreting geospatial imagery His work integrates multiple geospatial technologies to address ecological and environmental research questions, with particular emphasis on landscape-scale analysis and habitat characterization using advanced image processing techniques. Contact Information Phone: +43 (0) 662 / 8044-7545 Fax: +43 (0) 662 / 8044-7560 Email: thomas.strasser@plus.ac.at Google Scholar Profile available for publication records

Erwan Renaudoمشاهده پروفایل

پژوهشگر ارشد

• Autonomous robotics
• Machine Learning for robotics
• Action to behaviour processes in robotics

Erwan Renaudo served as a Postdoctoral Researcher at the Department of Computer Science, Intelligent and Interactive Systems, University of Innsbruck from 2017 to 2024, following prior postdoctoral and doctoral work at Institut des Systèmes Intelligents et de Robotique, University Pierre et Marie Curie. His academic credentials include: PhD in Computer Science and Robotics from Université Pierre et Marie Curie (2016) MSc in Artificial Intelligence and Robotics from Université de Cergy Pontoise (2012) MSc in Electronics Engineering from École Nationale Supérieure d'Électronique et de ses Applications (2011) Renaudo's research centers on Autonomous robotics , Machine Learning for robotics , and Action to behaviour processes in robotics , with emphasis on neuro-inspired architectures that bridge cognitive science and robotic adaptation. His work develops flexible learning frameworks where robots transition between goal-directed and habitual behaviors, enhancing real-world applicability in dynamic environments. Analysis of his 2020-2025 publications reveals dominant trends in reinforcement learning optimization for robotics, particularly in e-waste recycling automation and human-robot interaction. Key contributions include computational cost reduction through hybrid model-based/model-free architectures, exploration strategy innovations in deep reinforcement learning, and visual intelligence systems for robotic disassembly. His research consistently integrates multi-strategy learning to handle real-world variability in human rewards and environmental constraints. No scientific awards were documented in available sources. Renaudo actively supervises Bachelor's and Master's thesis projects through the University of Innsbruck's Intelligent and Interactive Systems group. His research is supported by significant projects: Current: ELSA (ANR-FWF Joint project 2022-2026) Past: IMAGINE (EU Horizon 2020, 2017-2021) Past: RoboErgoSum (ANR-12-CORD-30) He maintains active involvement with the Intelligent and Interactive Systems research group at the University of Innsbruck and previously collaborated with the AMAC team at ISIR in Paris, with recent participation in RoboCup competitions (2021-2023) demonstrating practical implementations of his research.

• Asteroseismology
• Stellar Evolution
• Pre-main Sequence Stars
• +۱۰ مورد دیگر

Konstanze Zwintz is a Full Professor at the Institute for Astro- and Particle Physics, Faculty of Mathematics, Computer Science and Physics, University of Innsbruck. She leads the research group on Stellar Evolution and Asteroseismology and serves as Associate Dean of Studies. Her work is central to major space missions including BRITE-Constellation and PLATO. Her research focuses on asteroseismology , particularly of pre-main sequence stars , stellar pulsations , and the evolution of young stars . She uses space-based photometry to study δ Scuti and γ Doradus stars, early-type variables, and exoplanet host stars. Her work bridges observational data with theoretical models to calibrate stellar evolution. The recent publications highlight a strong trend in space photometry , stellar variability , and asteroseismic modeling . Her research spans from young stellar objects to massive binaries, utilizing data from BRITE, TESS, and PLATO. Subfields include pulsation analysis, disk evolution, exoplanet atmospheres, and magnetic stars. Scientific Leadership and Outreach: Associate Dean of Studies, University of Innsbruck Lead researcher in BRITE-Constellation and PLATO missions Organizer and chair of international workshops Extensive public outreach through lectures, media interviews, and popular science articles Konstanze Zwintz mentors junior researchers and students through collaborative projects. She has led efforts in creating the BRITE-Constellation Ground-Based Observing Team (GBOT) database. While specific grants are not listed, her sustained involvement in major international missions implies significant research funding. She has given numerous invited talks and public lectures across Europe. Labs and Teams: Stellar Evolution and Asteroseismology Research Group, University of Innsbruck BRITE-Constellation Science Team PLATO Mission Consortium GBOT (Ground-Based Observing Team) Database Lead

• Geoinformatics
• Geographic Information Science (GIScience)
• Remote Sensing
• +۶ مورد دیگر

Thomas Blaschke is a Professor for Geoinformatics and Head of the Department of Geoinformatics – Z_GIS at the University of Salzburg. His work integrates methodological research in Geographic Information Science (GIScience) and Object-Based Image Analysis (OBIA) with applications in spatial modeling, natural hazard assessment, and urban livability analysis. MSc in Geography/Geographic Information Systems (1986–1992) PhD in Geography (1992–1995) Habilitation (2001) His research focuses on spatial analysis, decision-support systems, and remote sensing data quality. He leads the Landscape Analysis Research Group (LARG) and co-leads Z_GIS, a hub for geospatial research and education. Blaschke’s supervised projects span multi-hazard susceptibility mapping, big Earth observation data analysis, and participatory community planning. Blaschke has held visiting professorships at the University of Vechta (Germany) and the University of South Carolina (USA). He directs the researchstudio iSPACE and contributes to international networks like the Association for Geoinformatics, GeoIT, and Navigation. Member of the Austrian Academy of Sciences Fulbright Professorship recipient Blaschke supervises numerous PhD students, including Karl Atzmanstorfer, Sepideh Tavakkoli, and Sansar Raj Meena, whose works address topics such as landslide inventory, data fusion, and urban planning. He is based at the University of Salzburg’s Department of Geoinformatics – Z_GIS, a leading center for geospatial education and research.

Daniel Hölblingمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Object-based Image Analysis (OBIA)
• Natural Hazards
• +۴ مورد دیگر

Dr. Daniel Hölbling is a Research Associate and Project Manager at the Department of Geoinformatics (Z_GIS) at the University of Salzburg. He leads the Risk, Hazard & Climate Research Group and specializes in remote sensing, object-based image analysis (OBIA), and the study of natural hazards such as landslides and glacial processes. His work integrates advanced geospatial technologies to address environmental challenges, including climate change impacts on landscapes and infrastructure. Affiliations: University of Salzburg – Faculty of Digital and Analytical Sciences, Z_GIS. Research Focus: Landslide susceptibility modeling, geomorphological dynamics, and disaster risk assessment using remote sensing data. Key projects include analyzing glacier retreat effects on alpine infrastructure, spatial vulnerability assessments, and developing EO-based services for humanitarian aid. His research spans global collaborations in Iceland, New Zealand, Brazil, and the Arctic. Publications highlight his contributions to landslide-dammed lake scaling, SAR-based change detection, and aeolian dune dynamics. Awards include the Copernicus Price runner-up and grants supporting interdisciplinary geospatial research.

• Machine Learning
• Image Processing
• Pattern Recognition
• +۱ مورد دیگر

Muntaha Sakeena is a Junior Researcher in the Media Computing Research Group at the Institute of Creative\Media/Technologies, Department of Media and Digital Technologies, St. Pölten University of Applied Sciences (FHSTP) in Austria. She has held this position since 2017 and is currently on leave. Her educational background includes a Master's in Computer Engineering from NUST, Pakistan (2016) and a Bachelor's in Computer System Engineering from NFCIET, Pakistan (2012). Her research focuses on machine learning, image processing, pattern recognition, and computer vision applications across diverse domains including real estate analysis, environmental monitoring, medical imaging, and cybersecurity. She has contributed to projects such as: IMREA (Intelligent Multimodal Real Estate Assessment) Active deep learning for object detection Scribe ID AI InfraBase (Automatic Building Footprint Segmentation) ImmoAge (Visual Age Prediction of Real Estate) Her publications demonstrate consistent focus on computer vision applications, with recent work expanding into digital heritage preservation and environmental disaster response. Research trends show progression from medical imaging (2017-2018) toward geospatial and architectural analysis (2019-2023), utilizing deep learning methods like CNNs and level sets.

Georg Eckmayrمشاهده پروفایل

مدرس

• Digital Art
• Digital Culture
• Media Theory
• +۵ مورد دیگر

Georg Eckmayr is a multidisciplinary Lecturer at the University of Vienna , Department of Theatre, Film and Media Studies. He operates at the intersection of digital art, media theory, and algorithmic research, focusing on the entanglement of physical and machine-based realms. Doctorate under Peter Weibel on technical images Supervised academic programs at University of Applied Sciences St. Poelten Research Interests include: Digital culture and knowledge systems Algorithm-based sensuality and synthetic perception Media theory for post-identity societies Cross-disciplinary approaches (systems theory, feminist epistemology) Artistic Practice spans networked sculptures, robotic performances, and digitally signed objects, exploring contradiction as a productive force. His 2025 exhibition RAW MATERIAL & DATA GESTURES examines algorithmic politics. Scientific Recognition : 2006 Editorial Award, Vienna, @ KUNSTRAUM NOE Featured in RGBMTL 2025 (Montreal) and Hereafter The Art Project Academic Contributions include 15 recent articles on digital operative space, AI perception systems, and decentralized authorship, with keywords spanning Computer Science , Media Studies , and Artificial Intelligence . Collaborations with institutions like objkt.com and Studio Offbeat highlight his work.

Shohei Moriمشاهده پروفایل

پژوهشگر

• Mediated Reality
• Augmented Reality
• Diminished Reality
• +۴ مورد دیگر

Dr. Shohei Mori is a Junior Research Group Leader at the Visualization Research Center (VISUS) of the University of Stuttgart, Germany, and a Guest Associate Professor at Keio University, Japan. His research focuses on computational Mediated Reality, combining Augmented and Diminished Reality to address human-centered visual computing challenges. Key applications include education, entertainment, and cinematography. He has received numerous awards, including the IEEE ISMAR 2023 Best Journal Paper Award, IEEE VR 2022 Best Journal Paper Award, and multiple presentation/demonstration awards. His work spans grants such as the FWF-funded 3DDR project and collaborations with institutions like TU Graz, NTT Laboratories, and AVL List GmbH. Mori has taught courses on topics like Neural Rendering, Mixed Reality, and Computer Vision at institutions including TU Graz and FH Salzburg. His teaching emphasizes practical assignments and student research presentation management. His research interests include 3D reconstruction, light field displays, and perceptual aspects of mixed reality. He actively contributes to conferences like IEEE VR and ISMAR as a reviewer, chair, and committee member.

Horst Posseggerمشاهده پروفایل

پژوهشگر

• Computer Vision
• Autonomous Systems
• Multiple Object Tracking
• +۳ مورد دیگر

Horst Possegger is a Computer Vision researcher at the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. He holds a BSc and MSc in Software Development and Business Management (2011, 2013) and a PhD in Computer Science (2018), all from Graz University of Technology. His research focuses on multiple object tracking/detection, human behavior analysis, and video analysis with applications in autonomous systems, LiDAR data processing, and robotics. Key projects include trajectory prediction, 3D object detection, and domain adaptation techniques for real-world scenarios. Recent work emphasizes cross-modal learning (e.g., vision-language models for LiDAR data), robust localization in challenging environments, and lightweight motion prediction models. He contributes to the Learning, Recognition & Surveillance (LRS) group and has published extensively in top-tier venues like IEEE/CVF CVPR and IROS. Publications span autonomous driving benchmarks, UWB-based localization, and warehouse automation. His work often bridges theoretical advancements with practical implementations in robotics and surveillance systems.

Benediktsson Jon Atliمشاهده پروفایل

استاد

• Remote Sensing
• Pattern Recognition
• Neural Networks
• +۳ مورد دیگر

Jon Atli Benediktsson is the Rector and President of the University of Iceland (since 2015) and a Full Professor in Electrical Engineering (since 1996). He holds a Cand. Scient from the University of Iceland (1984), M.S.E.E. (1987), and Ph.D. (1990) from Purdue University. His research focuses on remote sensing, pattern recognition, neural networks, and data fusion. He has held key roles including Pro-Rector for Academic Affairs (2009–2015), Head of Graduate School (2009–present), and Visiting Professorships at the University of Trento and Kingston University. He has advised 9 PhD students and contributed to major editorial roles including Editor-in-Chief of IEEE GRSS journals and membership in prestigious committees. His honors include the IEEE GRSS David Landgrebe Award (2018), IEEE Fellow (2004), and SPIE Fellow (2013). His work spans hyperspectral data analysis, machine learning applications, and geospatial technologies. Key Positions: Rector, University of Iceland | Full Professor (1996–present) Education: Purdue University (Ph.D., 1990), University of Iceland (Cand. Scient, 1984) Research: Remote Sensing, Image Analysis, Biomedical Signal Processing Awards: Over 15 major international accolades including IEEE and SPIE fellowships

Bernd Bickelمشاهده پروفایل

استاد

• Computational Design
• Digital Fabrication
• Computer Graphics
• +۷ مورد دیگر

Bernd Bickel is a Full Professor for Computational Design at ETH Zurich, embedded in the Design++ research center. He holds a Master's degree from ETH Zurich and a PhD from ETH Zurich under Markus Gross. Previously, he was at IST Austria (2015–2023), Disney Research, and TU Berlin as a visiting professor. His research focuses on computational design, digital fabrication, and simulation, with applications in robotics, computer vision, and material science. Key interests include physics-based simulation, geometry processing, and interdisciplinary engineering. Notable awards include the Academy of Motion Picture Technical Achievement Award (2019), SIGGRAPH's Significant New Researcher Award (2017), and the EUROGRAPHICS Best PhD Thesis (2012). He leads the Computational Design Lab at ETH Zurich and collaborates with institutions like Inria Nancy on projects such as MFX team collaborations. His work spans academic contributions (over 50 publications) and industrial applications, including the FlexMaps Pavilion (First Prize at IASS 2019) and computational tools for 3D printing. He actively mentors PhD students and oversees grants like ERC Starting Grant 'Materializable'.

• Computer Vision
• Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Wiktor Adam Mucha is a PreDoc Researcher at TU Wien's Faculty of Informatics, Department of Computer Vision. He is affiliated with the visuAAL project (2020–2026) focused on Egocentric Vision for Active Assisted Living. His research emphasizes egocentric vision systems, hand pose estimation, action recognition, and privacy-preserving sensor technologies. Mucha collaborates with the CMS collaboration in particle physics, contributing to high-energy experiments. His research interests center on computer vision applications in assistive technologies, wearable devices, and robotics. He explores how egocentric perspectives (first-person viewpoints) can enhance human-robot interaction through hand-object interaction analysis and depth sensing innovations. Recent work includes developing systems like SHARP for 3D hand segmentation and TEXT2TASTE for intelligent reading assistance using large language models. Publications highlight advancements in 2D/3D hand pose estimation, egocentric action recognition frameworks, and privacy solutions for depth sensors in healthcare. His particle physics contributions address axion-like particles and heavy resonance detection at the LHC. Advising no documented students, Mucha's work is supported by projects like visuAAL. His lab activities involve interdisciplinary teams advancing computer vision for medical and assistive applications.

Sebastian Zambaniniمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Image Registration
• Object Recognition
• +۲ مورد دیگر

Sebastian Zambanini is a Senior Lecturer at TU Wien's Faculty of Informatics, affiliated with the Computer Vision Lab. His research spans object recognition, image registration, remote sensing analysis, and cultural heritage applications. Zambanini develops computer vision solutions for challenging domains including historical aerial photograph analysis, archaeological artifact documentation, and environmental monitoring. His recent work focuses on deep learning approaches for detecting wartime features in archival imagery and improving 3D reconstruction of cultural objects. He actively supervises graduate research and coordinates courses in programming fundamentals and computer vision methodologies.

• Computer Vision
• Assistive Technologies
• Healthcare Informatics
• +۳ مورد دیگر

Irene Ballester Campos is a Researcher at TU Wien's Faculty of Informatics, affiliated with the Department of Computer Graphics and Algorithms. Her work focuses on applying computer vision and AI to develop assistive technologies for healthcare contexts, particularly in dementia care and clinical applications. She is involved in the visuAAL project (2020–2026) and previously contributed to the DIANA project (2020–2023). Her research emphasizes privacy-sensitive systems, 3D sensor technologies, and human-centered design for assistive applications. Key areas include dementia behavior monitoring through depth sensors, action recognition in privacy-sensitive scenarios, and ethical implications of assistive systems. She also explores clinical applications such as Parkinson's disease severity estimation through motion analysis. Publications highlight contributions to 3D human pose estimation, dynamic object tracking in robotics, and vision-based solutions for toileting assistance. Her work bridges computer science with healthcare, emphasizing practical deployment in real-life clinical settings.