جست‌وجوی استاد و پژوهشگر

• Sonification
• Audio-Visual Analytics
• Data Visualization
• +۳ مورد دیگر

FH-Prof. Dr. Michael Iber is a faculty member at the St. Pölten University of Applied Sciences, affiliated with the Department of Media and Digital Technologies. He holds academic roles including Academic Director of GRACE (MA) and E³UDRES², and serves as International Coordinator. His research focuses on sonification, audio-visual analytics, and interdisciplinary applications in healthcare and production systems. Education & Background Studied piano at Karlsruhe University of Music and Royal Academy of Music, London Interdisciplinary doctorate in 'Auditory Logistic Analysis' (Jacobs University Bremen) Research Interests Iber's work bridges art and technology, emphasizing multimodal data analysis through sound and visual interfaces. Key areas include: Real-time sonification for healthcare (e.g., gait analysis via wearable devices) Audio-visual analytics for complex data exploration Applications in production logistics and cyber-physical systems Key Projects Leading initiatives like SoniVis (data analysis via audio/visual fusion) and SONIGait (wearable gait monitoring). Collaborates on EU-funded projects such as E³UDRES² and CARMA (healthcare tech). Publications & Recognition Over 40 peer-reviewed papers in journals like Personal and Ubiquitous Computing and conferences like EuroVis/IEEE VIS. Focus on interdisciplinary methodologies and practical implementations.

• Computer Vision
• Biometrics
• Artificial Intelligence
• +۲ مورد دیگر

Heinz Hofbauer is a Senior Scientist at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces, with research concentrated in computer vision, biometrics, and multimedia forensics. His work focuses on face detection systems, anti-spoofing for biometric security, and image/video encryption techniques, demonstrated through extensive publication and project leadership. His research spans computer vision, biometrics, artificial intelligence, and image processing, with notable contributions to cultural heritage analysis (e.g., face detection in the Wenceslas Bible), biometric sensor forensics, and visual security assessment. Recent work increasingly addresses cross-disciplinary applications in biomedical imaging and material science. Analysis of his 2023-2025 publications reveals three dominant trajectories: (1) AI-driven cultural heritage preservation through manuscript analysis, (2) biomedical image processing for single-cell segmentation, and (3) practical security/quality assessment for smartphone-based material classification and video encryption systems. Hofbauer has secured funding for six major research projects including: IDENTITY: Computer Vision Enabled Multimedia Forensics (2016-2019) Biometric Sensor Forensics (2014-2018) Visual Security Metrics for Image/Video Encryption (2015-2018) Traceability of Roundwood via Digital Imaging (2012-2017) Anti-Spoofing Software Evaluation for Facial Recognition (2018) Unspecified 2011 research project He actively participates in the academic community through peer review for the Journal of Visual Communication and Image Representation and conference presentations at IEEE ICIP, while collaborating closely with Andreas Uhl's research group on biometric security applications.

• Bioinformatics
• Mass Spectrometry
• Machine Learning
• +۷ مورد دیگر

Viktoria Dorfer is a Professor at the University of Applied Sciences Hagenberg, affiliated with the Bioinformatics Center of Excellence and Medical Engineering/TIMed Center HEAL. She holds an ORCID iD (0000-0002-5332-5701) and has published 66 research outputs with an h-index of 9 and 676 citations. 2007–2012: Doctoral research on algorithmic approaches 2013–2016: FWF Translational Research on MS Amanda 2020–2022: PI for b-tastic project Research Interests: Spanning bioinformatics, mass spectrometry, and medical engineering, her work focuses on: Algorithm development for peptide identification Evolutionary algorithms in data analysis Mass spectrometry software platforms (AMANDA, Annika) Cross-linked peptide analysis Precision agriculture applications Medical device optimization 2024 Trends: Recent contributions include symbolic regression in livestock farming, enhanced rescoring platforms, and structural analysis of the C. elegans Box C/D complex. Awards: EuPA Bioinformatics Mass Spectrometry Award (2020) Leadership: Organized Austrian Proteomic Research Symposia (2017), served as reviewer/peer-reviewer for journals, and led interdisciplinary collaborations.

• Sports Biomechanics
• Artificial Intelligence in Sports
• Human Movement Science
• +۲ مورد دیگر

Arnold Baca is a Professor at the University of Vienna, Center for Sports Science and University Sports, Institute for Sports and Exercise Science. With over 291 publications and 6 active projects, his work bridges Sports Biomechanics Artificial Intelligence in Human Movement Physiological and Psychological Exercise Analysis Research trends from his 15 most recent articles show focus on Musculoskeletal modeling in elite athletes AI applications for sports performance Adaptive training systems for disabilities Multi-scale biomechanical simulations Team sport pattern recognition Scientific awards include ESMAC Best Paper Award (2023) Projects include AI in Rowing Training (2023-2026) Western Balkan Sports Health Network (2025-2026) Bone Growth Mechanobiology (2022-2025)

• Quantum Optics
• Quantum Nanophysics
• Quantum Information
• +۸ مورد دیگر

Thomas Juffmann is a Professor at the Faculty of Physics, specializing in Quantum Optics, Quantum Nanophysics, and Quantum Information. His research bridges quantum imaging, electron microscopy, and computational optics, with a focus on super-resolution techniques and quantum coherence. Recent trends in his publications highlight advancements in cavity-enhanced microscopy, fluorescence lifetime imaging, and alkali photocathode engineering. Key subfields include quantum metrology, optical near-field sensing, and interference microscopy. Scientific Awards: micrograph award 'novel microscopy' (2012) ERC Starting Grant (2018) ESG-Nano-Prize on Nanosciences 2010 (2010) He leads funded projects like COBLIM (label-free bacterial lysis imaging), ONEM (optical near-field electron microscopy), and EOFLIM (super-resolution fluorescence lifetime microscopy for brain surgery). His outreach work includes the Seec Photography initiative for real-time quantum imaging.

Malte Rolf-Pissarczykمشاهده پروفایل

پژوهشگر

• Biomechanics
• Biomedical Engineering
• Computational Modeling
• +۳ مورد دیگر

Malte Rolf-Pissarczyk is a Postdoctoral Researcher at the Institute of Biomechanics, Graz University of Technology, Austria. His research focuses on computational modeling of cardiovascular biomechanics, particularly aortic dissection mechanisms and fluid-structure interaction. He holds a PhD in Biomedical Engineering from TU Graz (2024), M.Sc. in Mechanical Engineering from Leibniz University Hannover (2018), and double bachelor's degrees in Plant Operation Engineering and Building Energy Engineering from Bremerhaven University of Applied Sciences (2015). Key appointments include a visiting scholar at Stanford University (2022) and UC Berkeley (2016-2017). Awards include the Best PhD Thesis in Biomedical Engineering (ÖGBMT, 2024) and scholarships from the Austrian Marshall Plan Foundation and Dr. Jürgen und Irmgard Ulderup Stiftung. His work spans biomechanical modeling, material science, and medical simulation, with contributions to understanding aortic pathology via computational and experimental methods. His research integrates Bayesian uncertainty quantification, finite element analysis, and patient-specific modeling. Current efforts emphasize mechanisms of aortic dissection progression and thrombosis dynamics. He collaborates with institutions like Stanford University and maintains an affiliate membership.

• Visualization Onboarding
• Data Journalism
• Visual Analytics
• +۳ مورد دیگر

Christina Stoiber is a Researcher at the Institute of Creative Media/Technologies at the University of Applied Sciences St. Pölten, Austria. She leads the Media Computing Research Group, focusing on visualization onboarding, data journalism, and educational applications of visual analytics. Her work bridges academic research with practical tools for improving user understanding of complex visual representations. Education PhD in Computer Science (2023), TU Wien: 'Visualization Onboarding: Supporting Users in Understanding Unfamiliar Visual Representations' Master's in Digital Media Technologies (Media Computing), FH St. Pölten (2015) Bachelor's in Media Technology (Interactive Media), FH St. Pölten (2013) Research Interests Dr. Stoiber's research emphasizes visualization onboarding for non-experts, educational tools for visualization literacy, and applications in data-driven journalism and industrial analytics. She designs interactive systems to support user comprehension of complex visualizations through guided approaches like onboarding, educational games, and comic-based explanations. Her work integrates theories from education and HCI to create practical solutions for real-world challenges. Grants & Projects Josef Ressel Center Industrial Data Lab (Knowledge-Assisted Visual Analytics) Vis4Schools: Visualization Literacy in Education Comixplain: Data Comics for Higher Education SEVA: Self-Explanatory Visual Analytics for Data Discovery Labs & Teams She collaborates with the Media Computing Research Group and industry partners in Austria, focusing on projects like the JR-Centre for Industrial Manufacturing Analytics and the VizGames workshop series. Her team develops tools such as netflower (for journalists) and VisAhoi (automated onboarding systems).

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.

• Computer Science
• Mixed Reality
• Computer Graphics
• +۳ مورد دیگر

Christoph Ebner is a researcher at the Institute of Visual Computing at Graz University of Technology. His work focuses on mixed reality systems, 3D visualization, and novel display technologies. Research Interests Extended reality (XR) display systems Focus cues and depth perception Neural rendering techniques Medical visualization applications Gaze-contingent display optimization Hybrid direct-view/near-eye systems Selected Publications Recent work includes advancements in light field displays for extended reality (2023-2024), layered display systems with focus cues, and neural camera modeling for coherent rendering. Contact Email: christoph.ebner@tugraz.at

Masana Castrillo, Marcمشاهده پروفایل

پژوهشگر

• Deep Learning
• Continual Learning
• Computer Vision
• +۳ مورد دیگر

Herr Marc Masana Castrillo is a Researcher at the Institute of Computer Graphics and Vision within Graz University of Technology (College of Engineering). Holding a PhD in Computer Vision (cum laude) from Universitat Autònoma de Barcelona (2020), he specializes in Deep Learning , Continual Learning , and Neural Network Compression . His work addresses catastrophic forgetting in sequential tasks, out-of-distribution detection, and domain adaptation. PhD Thesis: "Lifelong Learning of Neural Networks: Detecting Novelty and Adapting to New Domains without Forgetting" MSc in Computer Vision (with Honours, 2015) BSc in Mathematics and Computer Science (2014) His research spans continual learning frameworks , feature disentanglement , and multimodal translation . Publications in top-tier venues like TPAMI , BMVC , and ICCV highlight his contributions. He co-developed Avalanche , an open-source PyTorch-based library for reproducible continual learning research. Scientific recognition includes the Best Master Thesis Project at UAB (2015) and the Business Track Award at Accenture Datathon (2016). His email addresses are mmasana@tugraz.at and marc.masana@icg.tugraz.at . He has reviewed for journals like TPAMI and conferences including CVPR and ICCV .

• Robotics
• Computer Vision
• Autonomous Systems
• +۳ مورد دیگر

Jesus Pestana Puerta is a researcher at the Institute of Computer Graphics and Vision (ICG) within the Faculty of Computer Science and Biomedical Engineering at TU Graz. He holds a PhD in Automation and Robotics from the Technical University of Madrid (UPM). With over 10 years of experience, he specializes in Aerial Robotics, focusing on vision-based solutions for drone navigation, obstacle avoidance, and autonomous systems. His work bridges research and industry, including prototypes for delivery drones (Post AG) and inventory management systems. Key projects include Overview Obstacle Maps for safe drone navigation and Micro Aerial Projector for stabilized aerial displays. Research interests span visual-inertial odometry, GPS-denied navigation, and technology transfer. He has contributed to robotics competitions (IC CEA, IMAV, IARC) and published extensively in journals like Journal of Field Robotics and conferences such as IROS. His recent work explores cloud-based navigation systems, AI for waste sorting, and automotive embedded systems optimization. Collaborations include startups and industrial partners, emphasizing practical applications of robotics. He has supervised projects in sensor degradation detection, redundant systems, and UAV lifecycle monitoring. His contributions are documented in over 50 publications, with a focus on advancing drone autonomy and real-world deployment.

Michael Reiterمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Pattern Recognition
• Computer Vision
• +۴ مورد دیگر

Michael Reiter is a Senior Lecturer at the Institute of Visual Computing & Human-Centered Technology, part of the Faculty of Informatics at TU Wien. His research focuses on Machine Learning, Pattern Recognition, and Computer Vision, particularly in medical applications such as flow cytometry data analysis for leukemia diagnosis and minimal residual disease (MRD) assessment. He leads the MyeFLOW project (2020–2025), which develops automated methods for immunophenotyping and MRD detection in pediatric leukemia. His work bridges machine learning and clinical diagnostics, emphasizing explainable AI in healthcare. Reiter collaborates with medical institutions to translate algorithms into clinical tools, such as the FlowMe decision support system. His research interests include transformer networks, UMAP visualization, and Gaussian mixture models for biomedical data. He has supervised diploma theses on topics like meta learning for blast cell classification and U-Net-based flow cytometry analysis. Reiter’s publications span over two decades, with recent emphasis on medical AI applications. His lab, the Computer Vision Lab, focuses on visual computing for healthcare, robotics, and cultural heritage digitization. Current projects address automated analysis of museum herbarium collections and empathic robotic systems for autism therapy.

• Computer Vision
• Medical Informatics
• 3D Scene Understanding
• +۵ مورد دیگر

Overview Pedro Hermosilla Casajus is an Assistant Professor at the Department of Computer Vision within the Faculty of Informatics at Technische Universität Wien (TU Wien). His research focuses on advanced computer vision techniques with applications in medical imaging, 3D scene understanding, and deep learning methodologies. He is actively involved in teaching multiple courses including Fundamentals of Computer Vision, Deep Learning for Visual Computing, and Scientific Research and Writing. Projects & Collaborations MyeFLOW (2020–2025) : Developing automated analysis systems for flow cytometry data. EVOCATION (2018–2022) : Real-time shape acquisition technologies. Modeling the World at Scale (2020–2026) : Large-scale 3D modeling techniques. Research Highlights His work bridges computer vision with medical diagnostics, particularly in measurable residual disease detection using flow cytometry. He explores geometric deep learning for 3D point cloud analysis and scene graph generation, advancing unsupervised semantic segmentation methods. Recent contributions include stylized Gaussian splatting for neural rendering and open-vocabulary 3D scene understanding frameworks. Teaching He teaches core courses like Fundamentals of Computer Vision and supervises student projects in medical informatics, visual computing, and human-centered computing.

Paola Bovolentaمشاهده پروفایل

استاد پژوهشی

• Developmental Neurobiology
• Neuroinflammation
• Neurodegeneration
• +۶ مورد دیگر

Paola Bovolenta is a Research Professor at the Spanish National Research Council (CSIC) - Universidad Autónoma de Madrid (UAM), with international recognition in Developmental Neurobiology. She has held leadership roles including Chair of the Tissue and Organ Homeostasis Program (2019–present) and former Chair of the Development and Differentiation Department (2012–2019). Her research spans: Mechanisms of visual axon sorting at the chiasm Morphogen signaling in eye development Neuroinflammation in Alzheimer's disease ADAM10-SFRP1 interactions in neurodegeneration Interdisciplinary approaches to life sciences Recent publications highlight her work on zebrafish models for optic cup morphogenesis, neuroinflammatory crosstalk in Alzheimer's, and synthetic biology applications. Awards include EMBO membership (2012), two Fundaluce Awards (2009, 2012), and ERC Scientific Council membership (2017). She has mentored 21 PhD students (4 ongoing) and 20 postdocs, with active involvement in European research policy through the ERC Open Science Working Group and UE Core Group on Reform of Research Assessment.

Astola Jaakko Tapioمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Nonlinear Signal Processing
• +۹ مورد دیگر

Jaakko Tapio Astola is a Professor of Signal Processing at Tampere University of Technology since 1993. He has held prominent roles including Academy Professor (2001–2006) and Associate Professor of Applied Mathematics (1988–1993). His academic journey includes positions at Lappeenranta and Eindhoven Universities of Technology. Astola is a member of the Finnish Academies of Science and Technology, and has received prestigious awards like the EURASIP Fellowship (2012), SPIE Fellowship (2007), and IEEE Fellowship (2000). His research spans signal processing, nonlinear filtering, bioinformatics, and algebraic coding theory. Notable contributions include foundational work on vector median filters and influential textbooks on nonlinear digital filtering. His interdisciplinary work bridges signal processing with systems biology and genetic network modeling. Education Highlights: 1984–1985: Research at Eindhoven University of Technology with Prof. J.H. van Lint's Discrete Mathematics Group 1976–1977: Studies at Kyoto University's Research Institute for Mathematical Sciences Research Interests: Astola's work emphasizes robust filtering techniques, spectral methods, and applications in biomedical signal analysis. His contributions to algebraic signal processing and bioinformatics include advancing Boolean network models for genetic systems and developing systematic bioinformatic analysis frameworks for large-scale genomic data. Awards: EURASIP Fellow (2012) Recipient of 2010 Nokia Award IEEE Fellow (2000) Grants & Advising: While specific grants are not detailed, his extensive academic roles and publications indicate sustained research funding. No student advisees are listed in available texts.