جست‌وجوی استاد و پژوهشگر

• Contemporary Art
• Painting
• Art Education
• +۴ مورد دیگر

Gunda Maria Gruber is a Senior Lecturer for Painting/Art Education at the Department of Fine Arts and Design, Institute for Open Arts, Mozarteum University in Salzburg. Born in 1971 in Salzburg, she studied painting at the Mozarteum University and painting and graphic arts at the Academy of Fine Arts in Vienna. She has been teaching at the Department of Fine Arts & Design since 2004. Gruber's artistic practice spans painting, multimedia installations, video, and spatial concepts. Her work explores the relationship between interior and exterior spaces, perception, and the fragility of social and spatial orders. She creates 'spatial situations' using collage principles and various media, often incorporating performative elements where her presence is suggested through shadows or personal items. Her installations deliberately fragment conventional spatial understanding, creating experiences where boundaries between reality and representation dissolve. Her recent work focuses on the intersection of technology and organic systems, examining how digital interfaces reshape our spatial perception. The 2023 exhibition 'THE GEOMETRY OF NON-ORDERS' at Museum der Moderne Salzburg continued her exploration of spatial fragmentation, while 'TECHNOGARDEN' (2022) earned her the Grand Art Prize of the State of Salzburg. Her practice consistently engages with theoretical concepts from Zygmunt Baumann's 'volatile modernity' and Gaston Bachelard's 'Poetics of Space,' translating philosophical ideas into tangible artistic explorations. Award: Grand Art Prize of the State of Salzburg (2022) Gruber's teaching and artistic practice are deeply interconnected, with her theoretical explorations of space and perception informing both domains. She creates what might be called 'experience spaces' where conventional relationships between inside and outside, up and down, or light and dark are suspended, challenging viewers to confront the limitations of their perception while offering alternative ways of experiencing spatial environments.

Gernot Kubinمشاهده پروفایل

استاد

• Nonlinear Signal Processing
• Speech Communication
• Audio Communication
• +۳ مورد دیگر

Gernot Kubin is a University Professor and Founding Director of the Signal Processing and Speech Communication Laboratory (SPSC) at Graz University of Technology, Austria. He has held this position since 2000 and has served in numerous leadership roles including Dean of Studies in Electrical and Audio Engineering (2004-2007), Coordinator of the Key Research Area Smart Systems for a Mobile Society (2004-2011), and Chair of the Senate (2007-2010 and 2013-now). His research focuses on nonlinear signal processing as well as speech and audio communication. Professor Kubin has co-authored over 180 peer-reviewed publications and advised more than 30 PhD students. His recent work shows a strong emphasis on conversational speech recognition, particularly for Austrian German dialects, prosody modeling, and the application of deep learning techniques to speech processing problems. His research also extends to biomedical applications of signal processing, particularly in voice analysis and vocal fatigue detection. Professor Kubin has received significant recognition for his work, most notably the 2015 Nikola Tesla medal for the highest number of patents awarded to a TU Graz scientist in a 5-year period. He has served on important committees including the IEEE Speech and Language Processing Technical Committee (2011-2016) and as General Chair for the INTERSPEECH 2019 conference held in Graz. He is also a member of the ISCA Advisory Board since 2020. His laboratory, the Signal Processing and Speech Communication Laboratory, is a leading research center in Austria with involvement in multiple national and international research projects including the Dependable Internet of Things in Adverse Environments, COMET K-Project Acoustic Sensing and Design, and the Competence Network for Digital Humanities KONDE.

Dieter Fellnerمشاهده پروفایل

استاد

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +۱۰ مورد دیگر

Dieter Fellner is a Professor of Computer Science at Technical University of Darmstadt, Germany , and Director of the Fraunhofer Institute of Computer Graphics (IGD) . He also serves as Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His career spans multiple prestigious institutions including University of Bonn, Memorial University of Newfoundland, and University of Technology Braunschweig. Dr. Fellner's research focuses on algorithms integrating modeling and rendering , digital libraries , virtual/augmented reality , collision detection , and radio wave propagation simulation . His work in digital libraries led to a DFG-funded strategic initiative (1997-2005) involving 50 researchers annually across 21 groups. The 15 most recent articles highlight his expertise in 3D document modeling , stereoscopic projection , subdivision surfaces , and color quantization . His publications include influential textbooks like the German standard on computer graphics (1988) and Digitale Bibliotheken (2000). 2000 Fellow of the Eurographics Association Best Technical Paper Award (Günther Enderle Award) at Eurographics’98 2007 IST Advisory Group (ISTAG) Member for the European Commission 2019 Honorary Doctorate from University of Rostock Dr. Fellner actively participates in editorial boards of journals like Computer Graphics Forum , IEEE CG&A , and JOCCH , and serves on program committees for conferences such as Eurographics, VSMM, and ACM Web3D. His leadership roles include Chairmanship of the Eurographics Association (1999-2000) and Directorship of Fraunhofer IGD (since 2006).

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'.

• Data Science
• Information Security
• Privacy Enhancing Technologies
• +۳ مورد دیگر

Johannes Heurix serves as a Research Fellow within the Data Science group (E194-04) at Vienna University of Technology's Faculty of Informatics. His interdisciplinary work bridges agricultural technology, information security, and semantic web applications, supported by major grants from the European Commission, Austrian Research Promotion Agency (FFG), and Vienna Business Agency. Current projects include Legume-cereal intercropping for sustainable agriculture (2022-2026) and PlusIQ agricultural photovoltaics (2022-2023). His research focuses on three interconnected domains: Sustainable Agriculture: Developing AI-driven digital twins for crop rotation optimization and pre-crop value modeling Privacy Engineering: Pioneering pseudonymization frameworks for healthcare data secondary use Smart Building Systems: Applying semantic web technologies to energy-efficient building design through the SEMERGY project Analysis of his 15 most recent publications reveals a strategic shift from foundational security research (2013-2016) toward agricultural data science (2023-2024), with 60% of recent work addressing climate-resilient farming solutions. Early publications established taxonomies for privacy technologies, while current outputs focus on AI applications for sustainable agriculture. Heurix has supervised diploma theses including Philipp Zimmermann's 2014 work on privacy technologies. His grant portfolio features: €2.1M Legume-cereal intercropping project (European Commission, 2022-2026) PlusIQ photovoltaics integration (FFG, 2022-2023) FarmIT digital agriculture initiative (Vienna Business Agency, 2021) He operates within TU Wien's Data Science research group and collaborates with the SEMERGY consortium, working alongside architects, agricultural scientists, and healthcare institutions to develop practical implementations of his research.

Manas Bhargavaمشاهده پروفایل

پژوهشگر

• Soft robotics
• Deformable structures
• Computational design
• +۵ مورد دیگر

Manas Bhargava is a Postdoctoral Researcher at the Institute of Science and Technology Austria, working in the Material Molli Lab under Prof. Jérémie Palacci. Previously, he completed his PhD with Prof. Bernd Bickel, focusing on the design and control of deformable structures. His research spans several cutting-edge domains in computational design and robotics. Bhargava's work integrates principles from computer graphics, mechanical engineering, and materials science to create innovative deformable structures. His projects range from building 3D lighting displays using folded PCBs to developing musculoskeletal soft robots with laser-controlled artificial muscles. He has presented his research at prestigious venues including SIGGRAPH, Eurographics, and the Think and Drink Conference at ISTA. Bhargava has published in top-tier venues including ACM Transactions on Graphics (SIGGRAPH) and Computer Graphics Forum. His work demonstrates a strong trend toward practical computational fabrication methods that bridge digital design with physical implementation, particularly in soft robotics and interactive displays. The research shows increasing sophistication in control mechanisms and material integration across his publications. As an academic mentor, Bhargava has supervised multiple students including Chris Wernke (bachelor thesis on Dynamic Simulation and Fabrication of Origami Robots) and Yuhan Zhang (master thesis on Compatible Triangulations for Fabricating Deformable Structures). His collaborative approach is evident in co-supervision arrangements and multi-institutional projects spanning ETH Zurich and ISTA.

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.

Ruslan Guseinovمشاهده پروفایل

پژوهشگر ارشد

• Computational Design
• Computer Graphics
• Digital Fabrication
• +۳ مورد دیگر

Ruslan Guseinov is a computational design researcher specializing in digital fabrication of curved structures and programmable matter, affiliated with IST Austria where he completed his PhD in 2020 under Bernd Bickel's supervision. His educational background includes: PhD in Computer Science, IST Austria, 2020 Guseinov's research bridges computer graphics, geometry processing, and materials engineering to develop algorithms for manufacturing complex shapes from flat materials. His work enables cost-effective glass façade design and self-actuating structures through computational geometry innovations, with applications in architecture and soft robotics. Key contributions include tension-actuated curvature methods and temporal morphing programming for programmable matter. His publication portfolio demonstrates consistent focus on computational fabrication techniques, evolving from foundational CurveUps research (2017) to advanced applications in glass engineering and programmable matter (2020), reflecting interdisciplinary collaboration across computer science, robotics, and architectural design. He has received significant recognition: Eurographics Best PhD Thesis 2021 TWIST Fellowship 2020 SIGGRAPH PhD Thesis Fast Forward 2020 No formal advising relationships or research grants are documented in available sources. His media coverage spans major outlets including ScienceDaily, phys.org, and Le Monde, highlighting real-world impact in industrial manufacturing. Guseinov operated within Bernd Bickel's research group at IST Austria, focusing on computational design and fabrication methodologies that transform theoretical concepts into practical manufacturing solutions.

• Remote Sensing
• Photogrammetry
• Computer Vision
• +۳ مورد دیگر

Roland Perko is a university lecturer, project manager, and key researcher at the Institute of Geodesy at Graz University of Technology. His work focuses on remote sensing, photogrammetry, and computer vision, with specific expertise in stereo matching, SAR and optical imagery analysis, and vision-based localization. R&D areas include multiple view geometry for SAR and optical imagery Specializations: subpixel techniques, digital aerial cameras, image registration