جست‌وجوی استاد و پژوهشگر

• International Relations
• International Security
• Foreign Policy Analysis
• +۷ مورد دیگر

Atsushi TAGO is Professor of International Politics at Waseda University’s School of Political Science and Economics (2018–), after having served as Professor and earlier Associate Professor at Kobe University (2007-2018). A University of Tokyo Ph.D. holder, he leads multiple JSPS grants on security, apology and experimental methods, sits on the editorial boards of Political Science Research & Methods and International Relations of the Asia-Pacific , and is a Global Fellow at the Peace Research Institute Oslo. Education: Ph.D. (International Relations) University of Tokyo Research interests revolve around three pillars: (1) Coalition politics & US foreign policy —why states join or quit US-led military operations, how UN approval affects public support, and when states invoke self-defence legally; (2) Inter-group apology and reconciliation —experimental studies on what makes political apologies acceptable to domestic and foreign audiences; (3) Media, threat perception and East Asian security —how pro-government bias in public vs private media shapes motivated reasoning, and how information on economic interdependence influences attitudes toward territorial disputes. His recent articles (2020-2024) display a clear shift toward sophisticated survey- and conjoint-experiments that disentangle causal mechanisms of apology acceptance, audience costs, and media effects, while earlier work focused on large-N statistical studies of military coalitions, genocide onset and arms-export politics. Collectively the scholarship bridges international-security theory, political psychology and advanced quantitative methods. Scientific awards: 2019 Waseda Research Award (High-Impact Researcher) Grants & projects: Principal or Co-PI on eight ongoing JSPS KAKENHI grants (2020-2030) totaling hundreds of million yen, covering topics from group apology and survey-experiment methodology to comprehensive monetary/fiscal risk management in international relations. Labs & teams: He heads an experimental-politics lab at Waseda that conducts survey, lab and conjoint experiments; collaborates with psychologists in the Interdisciplinary Empirical Studies on Group Apology project; and leads international collaborative modules with scholars in Europe, the US and across Asia.

Arne Seitzمشاهده پروفایل

مدرس

• Bioimage Informatics
• Advanced Microscopy Techniques
• Biomedical Image Analysis
• +۳ مورد دیگر

Arne Seitz is a Lecturer at EPFL's School of Engineering (SV), holding academic roles in the departments of Life Sciences Engineering and Bioimaging Technology. As Unit Manager of the Bioimaging and Optical Imaging Technology Platform (PTBIOP), he oversees advanced microscopy infrastructure and supports research in biological imaging. His teaching spans courses like Bioimage informatics , Advanced Microscopy for Life Science , and Image Processing for Life Science , emphasizing practical computational tools for biological data analysis. Research focuses on developing open-source software tools for microscopy and bioimage analysis, including ABBA+, MarrowQuant, and QUAREP-LiMi initiatives. These projects address challenges in image registration, diagnostic workflows, and reproducibility standards in microscopy. His work bridges basic science and clinical applications, such as automated bone marrow analysis and molecular diagnostics for heart transplants. Active in multi-department collaborations, Seitz contributes to educational programs across SV-SSV, EDPO, EDMS, and EDMX engineering schools. His labs and platforms provide cutting-edge imaging solutions for EPFL researchers, emphasizing open-access methodologies and community-driven scientific standards.

• Scientific Visualization
• Immersive Visualization
• High-Performance Scientific Computing
• +۷ مورد دیگر

Kenny Gruchalla is an Adjunct Assistant Professor at the University of Colorado, affiliated with the National Renewable Energy Laboratory (NREL). His research focuses on scientific visualization techniques for large-scale energy systems, including immersive visualization, high-performance computing, and GPU-based solutions. He specializes in analyzing power grid dynamics, renewable energy integration, and human-computer interaction in energy scenarios. Affiliations: University of Colorado (Computer Science), NREL (Energy Systems Group) Research Themes: Energy Visualization, Grid Resilience, Renewable Technologies His work emphasizes visual analytics for decision-making in energy systems, such as anomaly detection in grids, AR-based training for solar technicians, and AI-driven grid management (eGridGPT). He collaborates with industry partners like Duke Energy and utilities to address challenges in distributed energy resources and decarbonization. Key contributions include the SAGA platform for grid anomaly detection, blade-resolved wind turbine simulations, and frameworks for contextual compression of large-scale datasets. His team also developed tools like the Surface Phase Explorer for catalyst modeling and the OpenStudio City Database for city-scale energy analysis. Gruchalla has been recognized with the APS Gallery of Fluid Motion Award (2021) for his work on jet impingement visualization. His research bridges computational science, visualization, and energy engineering, with a focus on translating complex data into actionable insights for stakeholders.

Dieter W. Fellnerمشاهده پروفایل

استاد

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +۷ مورد دیگر

Dieter W. Fellner is a distinguished Professor of Computer Science at Technical University of Darmstadt, Germany, where he serves as Director of the Fraunhofer Institute of Computer Graphics (IGD). He also holds a concurrent position as Professor of Computer Science and Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. With a career spanning over three decades, Fellner has established himself as a leading figure in computer graphics, digital libraries, and related fields. Education: Diploma in Technical Mathematics, Graz (1981) Doktorate (Ph.D.) in Technical Mathematics, Graz (1984) Habilitation, Graz (1988) Professor Fellner's research spans multiple domains within computer science, with a primary focus on computer graphics and its applications. His work encompasses computational geometry, 3D modeling and rendering, virtual and augmented reality, and digital libraries with emphasis on cultural heritage preservation. He has made significant contributions to algorithms for integrating modeling and rendering processes, efficient visualization techniques, and generative modeling approaches. His research extends to practical applications in internet-based multimedia systems, where he coordinated a strategic initiative funded by the German Research Foundation that supported approximately 50 researchers across 21 groups from 1997 to 2005. An analysis of Professor Fellner's publication record reveals a consistent trajectory of innovation in computer graphics and digital document systems. His early work focused on foundational graphics algorithms and videotex systems, evolving toward more complex 3D document modeling, visualization techniques, and digital library architectures. A notable trend is his interdisciplinary approach, bridging computer graphics with applications in cultural heritage, bioinformatics, and brain-computer interfaces. His research demonstrates a progression from theoretical algorithms to practical implementations addressing real-world challenges in information visualization and knowledge management. Scientific Awards: Fellow of the Eurographics Association (2000) Member of the IST Advisory Group for the European Commission (ISTAG) (2007) Best Technical Paper Award (Günther Enderle Award) at Eurographics'98 Conference Honorary Doctorate from the University of Rostock (2019) Throughout his career, Professor Fellner has supervised numerous students and researchers, though specific names are not documented in the available sources. His leadership extends to significant grant activities, most notably coordinating the German Research Foundation's strategic initiative on distributed processing and mediation of digital documents from 1997 to 2005. This major project provided funding for approximately 50 researchers annually across 21 research groups, demonstrating his capacity to lead large-scale collaborative research efforts. He has also served on editorial boards of leading journals and program committees of international conferences, shaping the direction of research in his fields of expertise. Professor Fellner directs the Fraunhofer Institute of Computer Graphics (IGD) in Darmstadt, a prominent research institution focused on applied computer graphics. He also founded and chairs the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology. These institutions serve as hubs for interdisciplinary research, bringing together computer scientists, domain experts, and industry partners to advance the state of the art in visualization, digital libraries, and knowledge management systems. The teams under his leadership have produced influential work in 3D document processing, cultural heritage digitization, and advanced visualization techniques.

Alison Cookمشاهده پروفایل

پژوهشگر

• Polar Geospatial Data Analysis
• Glaciology
• Sea Ice Research
• +۴ مورد دیگر

Dr. Alison Cook is a Polar Geospatial Data Analyst and Senior Postdoctoral Research Associate at the Scottish Association for Marine Science (SAMS), with extensive expertise in analyzing spatial and temporal changes in polar regions using GIS, remote sensing, and fieldwork methodologies. Her research spans glacier dynamics, sea ice patterns, and Arctic shipping impacts, with over 30 peer-reviewed publications and numerous publicly accessible geospatial datasets. Dr. Cook earned her PhD in "Spatial and temporal changes in marine-terminating glaciers on the Antarctic Peninsula since the 1940s" from Swansea University (2014), following an MSc in Geographical Information Science from Edinburgh University (1999) and a BSc in Geography from the University of St Andrews (1998). Her early career included a decade as a Geographic Data Analyst at the British Antarctic Survey (2000-2010), followed by research fellowships at Durham University (2015-2018) and the University of Ottawa (2018-2020). Her research focuses on polar geospatial data analysis with specific expertise in glacier front changes, surface elevation dynamics, calving frequency, and Arctic shipping patterns. Current projects include the ARIA GIANT initiative (2025-2030) examining Greenland Ice Sheet tipping points, and the Canada Inuit Nunangat UK Arctic Research Programme (CINUK2021, 2022-2025) investigating shipping impacts on Inuit communities. She employs UAV drones for glacier front photography in Greenlandic fjords and develops Structure from Motion Digital Elevation Models for high-resolution ice dynamics analysis. Dr. Cook's publication record reveals an evolution from Antarctic-focused glaciology to contemporary Arctic shipping research, reflecting changing polar conditions. Her early work centered on Antarctic Peninsula ice shelves and glacier dynamics, while recent publications address Arctic shipping navigability, environmental impacts, and community consequences of reduced sea ice. Royal Scottish Geographical Society (RSGS) William Speirs Bruce Medal (2010) - first female recipient since the medal's 1926 inception, recognizing significant contributions to Antarctic science and fieldwork British Cartographic Society Stanfords Award (2007) - for innovative production of the first large-scale topographic map of Ryder Bay, Antarctica using novel ortho-photograph techniques Maps of Antarctica and the Arctic displayed at Scott Polar Research Institute, Cambridge entrance hall Dr. Cook has secured substantial research funding for polar investigations and maintains extensive field experience with three Antarctic seasons (2002-2003, 2004-2005, 2009), fieldwork in South Georgia (2008), and Canadian Arctic expeditions (2017-2019). Her outreach includes frequent public presentations, school talks about polar fieldwork, and community engagement with Inuit communities in Nunavut, where she taught map-making to local youth as part of the Arctic Corridors and Northern Voices project. She leads multiple international research collaborations and has generated significant geospatial datasets used by the broader scientific community, including coastal-change and glaciological maps of the Antarctic Peninsula, South Georgia glacier changes, Antarctic Peninsula drainage-basin outlines, and Arctic shipping data for the NORDREG zone (1990-2022).

Thomas Marrinanمشاهده پروفایل

استادیار

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Thomas Marrinan is an Assistant Professor of Computer & Information Science at the University of St. Thomas, College of Arts and Sciences. His expertise spans computer graphics, visualization, human-computer interaction, and high-performance computing. He specializes in developing interactive tools for large-scale data analysis, including multi-platform visualization applications like VisAnywhere and immersive virtual reality experiences. His research focuses on bridging gaps between simulation analysis and user interaction through novel interfaces and algorithms. He has pioneered work in 3D Gaussian splatting, real-time image compression, and collaborative environments using 360 panoramas. Marrinan teaches courses such as Intro to Programming & Problem Solving and Web Development, emphasizing practical application of computational concepts. In 2024, his team won the IEEE Scientific Visualization Contest for VisAnywhere, a tool enabling cross-platform scientific visualization. His work spans over two decades, with contributions to scalable resolution displays (SAGE2), GPU-based rendering optimizations, and AI-driven audio generation for video games. He holds a strong commitment to data-intensive collaboration and immersive technologies. Recent projects include developing omnidirectional stereo imaging techniques for VR exploration of large datasets and leveraging AI to enhance user-generated content in interactive media. His research addresses challenges in distributed rendering, real-time data transmission, and improving accessibility to complex scientific datasets.

• Telepresence Systems
• Mixed Reality
• Computer Vision
• +۳ مورد دیگر

Stephan Ohl is a Researcher at the University of Pittsburgh at Johnstown's Engineering and Computer Science Division since 2017. He holds a PhD from the University of Rostock. His work focuses on telepresence systems, mixed reality environments, and advanced imaging techniques. He has contributed to projects addressing latency reduction in distributed systems, camera calibration, and bandwidth optimization for immersive environments. Research interests include telepresence architectures, multi-camera systems, and applications of graph cuts in image segmentation. His publications span topics from distributed teleoperation to museal space theory. He is affiliated with the Engineering division at Pitt-Johnstown and actively publishes in computer science domains. Notable trends in his publications include: 1) Developing mixed reality frameworks for cultural heritage preservation (2024), 2) Optimizing telepresence systems through network and sensor improvements (2012-2017), and 3) Early work on microscopy image classification (2007). No awards or grants explicitly mentioned in available texts.

• Data Science
• Statistics
• Machine Learning
• +۳ مورد دیگر

William S. Cleveland serves as the Shanti S. Gupta Distinguished Professor of Statistics and Courtesy Professor of Computer Science at Purdue University, a position held since 2014 following 12 years as Department Head and Distinguished Member of Technical Staff at Bell Labs. His academic foundation includes an A.B. in Mathematics from Princeton University (advised by William Feller) and a Ph.D. in Statistics from Yale University (advised by Leonard Jimmie Savage). Cleveland pioneered the modern definition of data science in 2001, establishing its six technical areas spanning statistical theory to live data analysis systems. His research bridges statistics , machine learning , data visualization , and high-performance computing for deep data analysis , with seminal contributions including trellis display frameworks and Divide and Recombine (D&R) methodology. Current work focuses on DeltaRho software implementation for distributed computing challenges. Recent publications reveal a strong emphasis on climate science applications, particularly Arctic atmospheric river dynamics and high-resolution precipitation modeling, while maintaining core contributions to distributed statistical computing. This reflects his career-long approach of applying advanced data analysis to multidisciplinary problems across telecommunications, cybersecurity, and environmental systems. His distinguished honors include: Lifetime Achievement Award for Graphics and Computing (ASA, 2016) Parzen Prize (Texas A&M, 2016) Statistician of the Year (Chicago ASA, 1996) Highly Cited Researcher designation (2002) Multiple journal prizes including two Wilcoxon and one Youden awards Fellowships in ASA, IMS, and AAAS plus ISI Elected Membership Mentoring 18 Purdue doctoral students since 2004 (6 currently active), Cleveland's research has been sustained through major grants supporting the MODSQUAD team and DeltaRho development. His leadership extends to founding the ASA Graphics Section and authoring influential texts like The Elements of Graphing Data , which remains foundational in visualization practice. He directs the DeltaRho project within Purdue's data science ecosystem, collaborating with the MODSQUAD (Data-Driven Discovery of Models) team on applications spanning climate modeling, cybersecurity analytics, and healthcare systems through integrated high-performance computing frameworks.

Wissam Antounمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Arabic Language Models
• French Language Models
• +۵ مورد دیگر

Wissam Antoun is a PhD Researcher at ALMAnaCH, a research team within INRIA (Institut National de Recherche en Informatique et en Automatique) in Paris. Specializing in Natural Language Processing with a focus on Arabic and French language models, he has developed several influential models including AraBERT (the first Arabic BERT), AraGPT2 (the first Arabic LLM), and CamemBERTa (a French language model based on DeBERTa V3). Prior to his current position, he served as a Research Engineer at ALMAnaCH, a Senior Machine Learning Engineer at Siren Analytics in Beirut, and co-founded the Machine INtelligence Development (MIND) Lab at the American University of Beirut. Wissam's research focuses on developing state-of-the-art NLP technologies for languages displaying high variability, particularly Arabic dialects used on social media. His work spans multilingual language modeling, tokenization techniques for morphologically rich languages, and the development of comprehensive language model suites. Recent projects include Gaperon (a French LLM suite with 1.5B, 8B, and 24B parameters), ModernCamemBERT (the first non-English ModernBERT model), and pioneering work on detecting French AI-generated text. His research demonstrates expertise in model training, evaluation, and practical implementation for real-world NLP applications. His publication record shows consistent high-impact contributions, with AraBERT becoming the most cited Arabic AI paper and most starred Arabic GitHub repository, with over 10 million downloads on Hugging Face. His work has been published at major venues including Findings of ACL 2023 and preprints on arXiv. The trends in his recent articles show a progression from foundational Arabic language models to more sophisticated French language modeling and analysis of AI-generated content. Wissam has received multiple prestigious awards including First Place in the Arabic Sentiment Analysis competition at KAUST (2021) and Second Place in the OSACT4 Shared task on Offensive Language Detection (2020). His technical capabilities span the full AI stack from research to deployment, with expertise in major frameworks, software tools, and programming languages. As an educator, Wissam has served as a Graduate Teaching Assistant at the American University of Beirut, teaching courses in Software Tools, Parallel Programming, and Data Structures and Algorithms. He has also provided NLP instruction through workshop series and supported contestants in the Stars of Science program. His lab work centers around the ALMAnaCH research team at INRIA, where he contributes to advancing French language modeling capabilities through active development on GitHub repositories.

• Cosmology
• Astrophysics
• Data Pipeline Development
• +۳ مورد دیگر

Arun Kannawadi is a Physics Faculty member at Duke University, specializing in cosmology and contributing to the development of science data pipelines for the NSF–DOE Vera C. Rubin Observatory. He is actively involved in public outreach, including organizing watch parties for Rubin Observatory's milestone events at Duke's football stadium. A self-described dog parent and immigrant, his work bridges academic research with large-scale astronomical surveys. Affiliation: Duke University (Department of Physics), NSF–DOE Vera C. Rubin Observatory (LSST/Rubin Science pipelines) His research focuses on cosmology, leveraging advanced telescopic data from projects like Rubin Observatory's Legacy Survey of Space and Time (LSST). He advocates for accessible science communication, as seen in his efforts to visualize high-resolution astronomical data on large displays. Kannawadi collaborates with cosmologists and data scientists globally, participating in initiatives like the NSF–DOE Rubin Observatory's commissioning phase and public engagement campaigns such as #CaptureTheCosmos.

• Material Chemistry
• Organic Semiconductors
• Perovskite Solar Cells
• +۷ مورد دیگر

Wei Huang is a leading academic at Xiamen University , with affiliations across multiple prestigious institutions including Nanjing University , Nankai University , and Henan University . His research focuses on Material Chemistry For Sensing & Imaging and Organic Semiconductors , particularly in ultralong organic afterglow materials, perovskite solar cells, and flexible electronics. Research Interests : Development of ultralong organic phosphorescence materials, host-guest doping strategies, and applications in data storage, encryption, and bioimaging. Notable Achievements : Pioneering work on tin-halide perovskites for eco-friendly light-emitting diodes, and innovative biomimetic MOF hybrids for stable zinc metal anodes. Scientific Recognition : Ranked as Top Cited Scholar 2024 Top Cited Scholar 2023 Collaborative Work : Extensive international and domestic collaborations in optoelectronics, with publications in high-impact journals like Nature Communications , Advanced Materials , and Chemical Society Reviews .

• Distributed Computing
• High-Performance Computing
• Distributed Shared Memory
• +۷ مورد دیگر

Tore Brox-Larsen is an Associate Professor in the Department of Informatics at UiT The Arctic University of Norway. His work centers on distributed computing, high-performance systems, and large-scale visualization technologies. He is actively engaged in research involving sensor networks, Arctic observatories, and remote visualization of scientific data. His research interests span distributed shared memory systems, MPI performance, tiled display walls, and networked visualization. He has made significant contributions to improving communication efficiency in cluster computing and enabling scalable interactive visualization environments. His work bridges computer systems engineering with applications in genomics and environmental monitoring. The most recent publications reflect a strong trend toward real-world deployment of large-scale systems, particularly in Arctic observation and healthcare informatics. His work emphasizes practical system design, latency optimization, and cross-platform interoperability in distributed environments. Tore Brox-Larsen has collaborated extensively with researchers such as Otto Anshus, John Markus Bjørndalen, and Brian Vinter. While no formal advising or grant history is listed, his sustained publication record indicates active research leadership and team-based scientific inquiry. He has contributed to major projects including the development of a large-scale Arctic observatory sensor system and interactive tiled display walls. His work supports both academic research and societal applications in health and environmental science.

• Computer Graphics
• Interactive Environments
• Visualization
• +۴ مورد دیگر

Prof. Dr. André Hinkenjann is the Founding Director of the Institute for Visual Computing and holds a Research Professorship in Computer Graphics and Interactive Systems at Bonn-Rhein-Sieg University of Applied Sciences. His research spans computer graphics, interactive environments, and visualization, with applications in VR/AR, digital twins, and scientific data analysis. He leads multidisciplinary projects funded by institutions like BMBF and Zukunftsfonds NRW. His research integrates: Computer Graphics : Real-time global illumination, foveated rendering, and GPU optimization Interactive Systems : Haptic interfaces, large-display collaboration, and spatial interaction techniques Applied VR/AR : From trauma therapy to industrial training and cultural heritage preservation Recent publications emphasize mixed-reality interaction, neural rendering, and perceptual optimization, reflecting a consistent focus on bridging theoretical graphics with human-centered applications. His lab frequently contributes to high-impact venues like ACM SIGGRAPH, IEEE VR, and Eurographics. Notable projects under his direction include: PInBiM: Gamified citizen science for museum-based insect research DT4MP: Digital twins for urban/industrial multiphysics simulations GTN: State-wide network advancing game technology in NRW Witality: VR for sensory wine analysis

• Scientific Visualization
• Computer Graphics
• Visual Analytics
• +۵ مورد دیگر

Christoph Müller is a Doctoral Researcher at the Visualization Research Center (VISUS) at the University of Stuttgart, working within the Weiskopf Group and Sedlmair Group. With over 19 years of research experience documented through publications from 2006 to 2025, he has established himself as a significant contributor to the scientific visualization community. Dr. Müller's research spans multiple domains of visualization including scientific visualization, computer graphics, visual analytics, cybersecurity visualization, molecular graphics, and energy-efficient visualization techniques. His recent work demonstrates a strong focus on practical applications, particularly in cybersecurity analysis through projects like AlertSets for exploratory analysis of cybersecurity alerts and VITALflow for network traffic analysis. He has also made important contributions to understanding and reducing the energy consumption of visualization systems, with recent papers on foveated volume visualization and comprehensive energy measurement approaches. His publication record shows consistent contributions to top visualization venues, with recent work appearing in IEEE Transactions on Visualization and Computer Graphics, Journal of Visualization, and proceedings of major conferences including IEEE VIS, Eurographics, and VizSec. His research often involves interdisciplinary collaboration, particularly with cybersecurity experts and domain scientists. Active research in cybersecurity visualization for security operations Pioneering work on energy measurement and reduction in visualization systems Contributions to scientific visualization for cosmic evolution and manufacturing Development of visualization frameworks like MegaMol Exploration of novel platforms including gaming consoles for scientific visualization Dr. Müller's work bridges theoretical visualization research with practical applications, making significant contributions to both the academic community and real-world visualization challenges across multiple domains.