جست‌وجوی استاد و پژوهشگر

• Computer Graphics
• Fluid Simulation
• Physics-Based Animation
• +۳ مورد دیگر

Chris Wojtan is a Professor at the Institute of Science and Technology Austria (IST Austria), leading the Visual Computing Group. His research focuses on geometric and numerical algorithms for computer animation and geometry processing, particularly in simulating fluid dynamics, solid materials, and 3D shape manipulation. Key contributions include methods for realistic water surface animation, cloth simulation, and fracture mechanics. He has received prestigious awards such as the ERC Consolidator Grant (2022), ERC Starting Grant (2014), SIGGRAPH Significant New Researcher Award (2016), and Eurographics Young Researcher Award (2015). Education: PhD in Computer Science from Georgia Institute of Technology (2010). Research Group: Current PhD students include Georg Sperl, Peter Synak, and Sadashige Ishida. Former students and postdocs include Morten Bojsen-Hansen (now at Autodesk) and David Hahn (TU Wien). Grants: Principal Investigator for ERC grants and other funding initiatives. Scientific Awards: Highlighted awards include ERC grants, SIGGRAPH, and Eurographics recognitions. Publications span advanced fluid simulation techniques, topology optimization, and procedural materials. The lab actively recruits PhD students and postdocs, emphasizing English-language research collaboration.

Renata Raidouمشاهده پروفایل

دانشیار

• Medical Visualization
• Visual Analytics
• Uncertainty Visualization
• +۳ مورد دیگر

Renata Raidou is an Associate Professor in Biomedical Visualization and Visual Analytics at the Research Unit of Computer Graphics, Institute of Visual Computing & Human-Centered Technology, TU Wien, Austria. She previously held positions at the University of Groningen and TU Wien as a postdoc. Her research focuses on medical visualization, uncertainty visualization, and data physicalization for healthcare applications. Raidou has received prestigious awards including the Dirk Bartz Prize (2017) and EuroVis Young Researcher Award (2022). She coordinates TU Wien's BSc in Digital Health and MSc in Medical Informatics. Education: PhD in Medical Visualization (Eindhoven University of Technology, 2017), MSc in Biomedical Engineering (TU Delft), Diploma in Electrical and Computer Engineering (NTUA). Professional Roles: Editorial Board member of Computer & Graphics , Steering Committee member of EG VCBM, and member of EASAC's AI in Healthcare working group. Research Interests: Medical visualization strategies for P4 medicine, anatomical edutainment through physicalization, and uncertainty-aware visual analytics in radiotherapy. Her work bridges visual computing, machine learning, and medical applications, emphasizing clinical decision support and public health education. Awards: Over 10 awards including Best Paper recognitions at IEEE Vis and EuroVis, and the EuroVis Best PhD Award. Her contributions span visualizing anatomical variability, ensemble data exploration, and interactive medical training tools. Grants & Projects: Leads the Health Virtual Twins project (2024–2028) for personalized stroke management. Active in interdisciplinary collaborations, including the Shonan Meeting on Formalizing Biological Visualization. Labs/Teams: Head of the Visualization Group at TU Wien, developing tools like Vologram (holographic medical data physicalization) and Slice and Dice anatomical crafts. Collaborates on edutainment systems and AI-driven healthcare visualization.

Francesco De Paceمشاهده پروفایل

پژوهشگر

• Augmented Reality
• Virtual Reality
• Human-Robot Interaction
• +۵ مورد دیگر

Francesco De Pace is a PostDoc Researcher at the Institute of Visual Computing and Human-Centered Technology within the Faculty of Informatics at Vienna University of Technology (TU Wien). His research focuses on the intersection of augmented reality, virtual reality, and human-robot interaction, with particular emphasis on developing innovative interfaces for industrial applications. Dr. De Pace's research spans several key areas in immersive technologies and human-computer interaction. His primary interests include Augmented Reality (AR) and Virtual Reality (VR) systems, Human-Robot Interaction (HRI), Brain-Computer Interfaces (BCIs), and advanced tracking and localization techniques. He has made significant contributions to the development of AR/VR interfaces for industrial robots, outdoor tracking with Real-Time Kinematic GPS, and SLAM (Simultaneous Localization and Mapping) systems. His work bridges theoretical research with practical industrial applications, focusing on creating more intuitive and effective human-machine interfaces. Dr. De Pace's recent publications demonstrate a clear trajectory toward enhancing human-robot collaboration through immersive technologies. His research shows increasing sophistication in integrating multiple modalities (visual, spatial, and neural) to create more natural interaction paradigms. A notable trend is the application of AR/VR to industrial settings, particularly for assembly tasks, path planning, and training scenarios. His systematic evaluation of RTK-GPS for wearable AR represents important foundational work for outdoor AR applications, addressing critical challenges in positional accuracy across different environmental conditions. While specific awards are not prominently documented in the available information, Dr. De Pace's research has been supported by significant funding mechanisms, including grants from the Austrian Research Promotion Agency (FFG) under Grant Agreement No FO999886342 KIRAS MRespond, indicating recognition of the importance and potential impact of his work. Dr. De Pace appears to be actively involved in multiple research projects, including PostDisaster and MRespond as indicated in his profile. His collaborative approach is evident through his extensive co-authorship with researchers across institutions. While specific student advising information isn't detailed in the available materials, his role as a PostDoc Researcher likely involves mentoring junior researchers and contributing to the academic development of students working on related projects. Dr. De Pace is associated with the Mixed Reality Lab at TU Wien, as indicated in the website navigation. His research appears to be conducted within collaborative frameworks that include both academic and industry partners. His work on the MRespond project suggests engagement with emergency response applications of mixed reality technologies, indicating interdisciplinary team involvement spanning computer science, engineering, and potentially public safety domains.

Johannes Eschnerمشاهده پروفایل

پژوهشگر

• Geospatial Visualization
• Computer Graphics
• Avalanche Risk Analysis
• +۳ مورد دیگر

Johannes Eschner is a PhD student and researcher at the Research Unit of Computer Graphics, TU Wien. His work focuses on geospatial visualization, real-time risk assessment systems, and motion visualization techniques. He is part of the Visualization Group and contributes to projects like the FWF-funded Joint Human-Machine Data Exploration (2023–2026). His research includes developing interactive tools for avalanche risk visualization using high-resolution geospatial data, as well as methods for attention-guided animations through motion smoothing techniques. Notable outputs include a real-time avalanche risk visualization system and studies on motion blur's impact in molecular animations. Key technical expertise includes 3D mapping, generative models, and user-centered design. His work bridges computer graphics with practical applications in environmental safety and scientific communication.

Martin Ilcikمشاهده پروفایل

پژوهشگر

• Procedural Modeling
• Shape Grammars
• Layout Generation
• +۶ مورد دیگر

Martin Ilcik is a Researcher at the Department of Computer Graphics within the Faculty of Informatics at Vienna University of Technology (TU Wien). His work focuses on procedural modeling, shape grammars, and related computer graphics techniques. He serves as a Scientist in the Rendering and Modeling workgroup and has been actively involved in research projects since 2008, including GameWorld, PAMINA, Wohnen 4.0, AgroEco, and currently Room Imageer and GreenFDT projects. Ilcik's research interests prominently feature procedural modeling techniques, with specializations in shape grammars, layout generation, semantic modeling, 3D reconstruction, and music generation. His work bridges computer science with practical applications in architecture, urban planning, and creative arts. He has made significant contributions to layer-based procedural design of building facades and collaborative modeling systems. His publication record spans from 2007 to 2024, with a strong focus on procedural modeling techniques. The research trajectory shows evolution from flow visualization to sophisticated procedural modeling systems, with increasing emphasis on shape grammars, collaborative design, and applications in architecture and music generation. His work demonstrates consistent innovation in making procedural modeling more intuitive and accessible. VC CultTech Hackathon winner category 'Vienna State Opera challenge' (2017) INiTS Award 2016 Ilcik has supervised student research, including Lukas Eibensteiner's 2021 Diploma Thesis on polyphonic music composition with grammars. He has been instrumental in organizing the Central European Seminar on Computer Graphics (CESCG) since 2008, which has grown into an important annual event for undergraduate students in computer graphics, vision, and visual computing across Central Europe. His community work includes creating educational resources and organizing EXPO events and Academy Videos through CESCG. He leads research in the Rendering and Modeling workgroup at TU Wien's Computer Graphics department, focusing on developing innovative procedural modeling techniques with applications in architecture, urban planning, and creative domains. His current projects (Room Imageer and GreenFDT) continue his longstanding interest in practical applications of procedural modeling techniques.

Peter Kánمشاهده پروفایل

پژوهشگر

• Photorealistic rendering
• Augmented reality
• Virtual reality
• +۵ مورد دیگر

Peter Kán serves as a Senior Scientist at TU Wien's Faculty of Informatics, Institute of Visual Computing and Human-Centered Technology. He manages the Mixed Reality Laboratory and teaches multiple courses including Mixed Reality Lab (193.169), PhD Seminar (193.083), and various Project courses in Computer Science and Visual Computing. PhD in Computer Science from TU Wien Research on High-Quality Real-Time Global Illumination in Augmented Reality His research spans photorealistic rendering, augmented and virtual reality systems, automatic 3D content generation, and embodied conversational agents. Current projects include RE:STOCK INDUSTRY (2024–2027), Circular Twin (2022–2025), and VR Tennis Trainer (2020–2022), funded by FFG and WWTF. His work integrates deep learning with real-time rendering for applications in industrial design, sports training, and accessibility solutions for deaf and hard-of-hearing users. Recent publications demonstrate strong focus on procedural building design, motion analysis, and accessibility interfaces. Key trends include embodied conversational agents with situation awareness, multi-objective optimization for industrial buildings, and haptic feedback systems. His research bridges computer graphics, human-computer interaction, and practical applications in architecture and healthcare. Peter Kán has received research funding from Austrian Research Promotion Agency (FFG) and Vienna Science and Technology Fund (WWTF) for projects including Conversational Agents (2023–2024) and Realistic Indoor Path Visualization (2016–2018). Supervised 10 theses including Tennis Motion Learning in VR (Sebernegg, 2025) and Embodied Conversational Agents (Rumpelnik, 2023) Manages Mixed Reality Laboratory focusing on photorealistic AR/VR systems Leads research teams on projects like Circular Twin and RE:STOCK INDUSTRY

Andrew David Cliffمشاهده پروفایل

استاد

• Geographical processes and disease emergence
• World Geography of poliomyelitis
• Theory of spatial processes
• +۱ مورد دیگر

Andrew David Cliff is a Professor at the Department of Geography, University of Cambridge, with a career spanning over five decades. He has held significant administrative roles including Head of Department (1999-2001), Chair of the School of Physical Science (2001-03), and Pro-vice-counsellor since 2004. Education: PhD and DSc from the University of Bristol Research Focus: Geography of epidemics, spatial processes, historical disease mapping, and conflict-related health crises Cliff's research explores the intersection of geography and public health, emphasizing the spatial dynamics of infectious diseases across historical contexts. His work includes groundbreaking studies on avian influenza, poliomyelitis, cholera, and smallpox, often analyzing their diffusion in war zones and isolated regions. His publications from 2000-2008 highlight interdisciplinary approaches combining geography, epidemiology, and historical analysis, with a focus on computational frameworks, island epidemiology, and the role of conflict in disease spread. Key journals include Annals of the Association of American Geographers and Medical History. Member, Academia Europaea (2002) Member, Historical and Cultural Geography research cluster Editorial Board, Statistical Methods in Medical Research Fellow of the Society of Study (FSS 1968) Fellow of the British Academy (FBA 1996) Chartered Geographer (CGeog 2002) Cliff has been affiliated with Christ's College, Cambridge, as Director of Studies (1973-) and Fellow (1974-). He has also collaborated with global institutions like the WHO and CDC through visiting scholar roles.

Huibert Mansvelderمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Fluorescence imaging
• +۷ مورد دیگر

Huibert Mansvelder is a Full Professor of Neurophysiology at the Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit Amsterdam. His research focuses on integrative neurophysiology, combining cellular and systems neuroscience approaches to study cortical function, cognition, and neuromodulation. He leads the department of Integrative Neurophysiology and directs the Bachelor Honours Programme at VU's Faculty of Science. Research interests include: Neurophysiological mechanisms of attention and cognitive control Cholinergic and nicotinic modulation of cortical circuits Comparative human-mouse neuronal physiology Ion channel biophysics in human cortical neurons Neurogenomics of cognitive disorders Neuronal network dynamics in prefrontal cortex Grant support includes: NIH Brain Initiative grants (BICCN and BICAN, 2017-2027) ERC Advanced Grant (2023-2028) NWO Gravitation Award 'Brainscapes' (2020-2030) Scientific awards : NWO VIDI (2006) and VICI (2014) awards ERC Consolidator (2011) and Proof-of-Concept (2015) grants ENI-Net Young Investigator (2007) Member of KNAW Young Academy (2006)

Jean Decetyمشاهده پروفایل

استاد

• Social Neuroscience
• Moral Decision-Making
• Empathy
• +۵ مورد دیگر

Jean Decety is the Irving B. Harris Distinguished Service Professor at the University of Chicago, where he leads the Social Cognitive Neuroscience Laboratory. His research focuses on the neurobiology of social cognition, particularly empathy, morality, and prosocial behavior, using multimodal approaches like fMRI, EEG, and behavioral economics. Positions : Full Professor (2005-present), University of Chicago; Visiting Professor, University of Cape Town (2015-2016); Head of Neurophysiology of Intentionality, INSERM (1997-2001) Research Interests span social neuroscience, moral decision-making, psychopathy, developmental social neuroscience, and affective neuroscience. His work examines neural mechanisms of fairness, prosociality, and moral convictions, integrating cross-cultural studies across Southeast Asia, Europe, the Middle East, and the Americas. Scientific Awards include the IPSEN Foundation Neuropsychology Award (2013), Fellowships from AAAS (2011) and APS (2009), and multiple international grants. Publications highlight neuroimaging studies on empathy, moral reasoning, and the dark side of morality, with a focus on developmental trajectories and cross-species comparisons.

Karline Soetaertمشاهده پروفایل

استاد

• Food-web studies
• Benthic-pelagic coupling
• Applied mathematics
• +۹ مورد دیگر

Karline Soetaert is a Professor at Utrecht University's Department of Earth Sciences and a Research Leader at the Netherlands Institute for Sea Research (NIOZ). Her work bridges physics, (biogeo)chemistry, biology, and ecology through field data acquisition and mechanistic/statistical modeling. Master in Zoology (1983) Master in Computer Sciences (1985) PhD in Biology (1988) Her research focuses on marine ecosystem modeling, particularly benthic-pelagic coupling, sediment-water interactions, and environmental modeling. She pioneered transport-reaction models and inverse modeling techniques in sediment biogeochemistry, enabling advanced data assimilation and sensitivity analysis. Recent publications emphasize marine biogeochemistry, fisheries integration with biogeochemical models, and computational methods for coastal ecosystems. These works highlight her expertise in combining open-source software (e.g., R-packages) with ecological and environmental modeling. Elected Honorary Fellow of the European Society of Computational Methods in Science Engineering (2010) Soetaert leads projects like UUNIOZ_Greenland fjords, SANDBOX_Smart and sustainable design for offshore operations, and EMODnet_Biology. Her teaching includes environmental modeling at the University of Ghent and marine ecosystem modeling at Utrecht University, where she advocates for open science and reproducible research using R with markdown.

Luo Jieboمشاهده پروفایل

استاد

• Computer Vision
• Natural Language Processing
• Machine Learning
• +۴ مورد دیگر

Jiebo Luo is a Professor of Computer Science at the University of Rochester, where he has held this position since 2014. He earned his BS and MS in Electrical Engineering from the University of Science and Technology of China (1989 and 1992) and a PhD in Electrical Engineering from the University of Rochester (1995). Prior to academia, he spent 15+ years at Kodak Research Laboratories as a Senior Principal Scientist. His research focuses on computational social science, natural language processing, digital health, computer vision, data mining, and multimedia. Dr. Luo’s work has been recognized through numerous awards, including the ACM SIGMM Technical Achievement Award (2021), Fellowships from ACM, AAAI, IEEE, IAPR, and SPIE. He has authored over 500 peer-reviewed papers, holds 90+ patents, and serves as Editor-in-Chief of the IEEE Transactions on Multimedia. He actively contributes to conference organization (e.g., ACM Multimedia, CVPR) and editorial roles for top journals. Key contributions include pioneering work in social media analytics, sentiment analysis, and digital health, as well as foundational research in multi-label classification and action recognition datasets like UCF 101. His labs and collaborations span the Goergen Institute for Data Science and the Greater Rochester Data Science Industry Consortium.

• Biotechnology
• Molecular Biology
• Systems Biology
• +۳ مورد دیگر

Markus Riedl is a researcher at the Institute of Animal Cell Technology and Systems Biology under the Department of Biotechnology and Food Science at the University of Natural Resources and Life Sciences, Vienna (BOKU). His work focuses on advancing biotechnological applications in animal cell systems, particularly for therapeutic antibody production. His research interests include genetic engineering in CHO (Chinese Hamster Ovary) cell lines, CRISPR/Cpf1 technology , and systems biology approaches to improve selection efficiency in bioprocessing. This aligns with his recent publications on gene expression and metabolic modifications in therapeutic antibody production. Riedl’s contributions extend to collaborative research within BOKU , where his institute develops innovative tools for molecular self-assembly and nanoscale material design inspired by biological principles. His work is documented in the Computational and Structural Biotechnology Journal and Scientific Reports . Contact: markus.riedl@boku.ac.at

• Agrartechnik
• AgriPV
• Energieeffiziente Landwirtschaft
• +۱۳ مورد دیگر

Alexander Bauer is an Associate Professor at the Institut für Landtechnik (Institute for Land Technology) within the Department of Agrarwissenschaften at the University of Natural Resources and Life Sciences, Vienna (BOKU). His research is deeply integrated into sustainable agricultural systems, with a strong emphasis on energy efficiency, renewable energy integration, and digital transformation in farming. He leads a wide array of research projects funded by the EU, national ministries, and industry partners, focusing on biogas, biomass pretreatment, and agrivoltaics. Research Focus: His primary interests include Agrartechnik, AgriPV, energy-efficient agriculture, biogas, digital agriculture, smart farming, and bioenergy. He investigates the technical, economic, and ecological aspects of integrating renewable energy systems into agricultural landscapes, particularly through agrivoltaics and advanced biomass conversion technologies like steam explosion. His recent publications and projects demonstrate a strong trend toward integrated land-use systems , particularly agrivoltaics , where he conducts life cycle assessments of innovative stilted and vertical bifacial systems. His work also explores the valorization of agricultural and animal wastes (e.g., horse and elephant manure) into biogas and high-value nanocellulose, contributing to circular economy models. The use of digital technologies for precision farming and innovation labs is another key theme. Scientific Honors: Dr.-Berthold-Pohl-Stipendium - Südtirol (2009) AFEMA-Förderpreis für Nachwuchswissenschaftler (2005) Bauer actively advises and collaborates on numerous research initiatives. He has been a principal investigator on projects related to digitalization in agriculture, biogas optimization, and agrivoltaic system evaluation. His work is supported by significant grants from the EU, Austrian federal ministries, FFG, and private enterprises. He is a frequent contributor to major scientific conferences in the fields of sustainable energy, agriculture, and life cycle assessment. Laboratories and Teams: He is a key member of the DiLaAg - Digitalisation and Innovation Laboratory in Agricultural Sciences and leads research within the Institute for Land Technology . He collaborates extensively with interdisciplinary teams across BOKU, including institutes for plant production, engineering biology, landscape planning, and sustainable business development.

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.

Tomáš Skřivanمشاهده پروفایل

پژوهشگر ارشد

• Physics Simulation
• Computer Graphics
• Numerical Methods
• +۳ مورد دیگر

Tomáš Skřivan serves as a Research Fellow at the Hoskinson Center for Formal Mathematics , Carnegie Mellon University. His work bridges formal mathematics with practical scientific computing through the development of the SciLean library in Lean 4, targeting enhanced reliability in machine learning and simulation software. Skřivan's research spans interdisciplinary domains with core emphases on: Physics-based simulation of fluid dynamics and wave phenomena Computer graphics algorithms for light transport and rendering Formal verification techniques applied to numerical methods Mathematical modeling of viscoelastic materials His publication trajectory since 2016 reveals evolving expertise from computational fluid dynamics (water wave simulation, viscoelastic modeling) toward formal methods in scientific computing, consistently merging theoretical rigor with practical implementation. Recent work on SciLean represents a strategic pivot toward verified software foundations. As a key contributor to the Hoskinson Center's mission, Skřivan collaborates on projects leveraging proof assistants to eliminate errors in scientific code. The center, established through Charles Hoskinson's support, pioneers mathematically guaranteed correctness in computational science through formal verification frameworks.