جست‌وجوی استاد و پژوهشگر

• Computer Vision
• Machine Learning
• Healthcare
• +۵ مورد دیگر

Dr. Jianbo Jiao is an Associate Professor in the School of Computer Science at the University of Birmingham , leading the Machine Intelligence + x (MIx) group . He holds a PhD in Computer Science from City University of Hong Kong (Hong Kong PhD Fellowship Scheme) and an MSc from Peking University. He was a visiting scholar at the University of Illinois at Urbana-Champaign and a postdoctoral researcher in the Biomedical Image Analysis (BioMedIA) group and Visual Geometry Group (VGG) at the University of Oxford. Research Focus: Computer Vision, Machine Learning, Medical Imaging, AI for Science Key Themes: Learning from limited supervision (self-supervised, weakly-supervised), multi-modal data analysis (vision-audio-text-chemical spectra), open-world problems (incremental learning, open-vocabulary segmentation), 3D scene understanding Awards & Recognition: Amazon Research Award (2024) Royal Society Short Industry Fellowship (2023) Best Paper Awards at MICAD 2024 and MICCAI 2024 ASMUS Workshop Outstanding Reviewer Awards from CVPR, ECCV, ICCV, NeurIPS, and MICCAI Fellow of the Higher Education Academy (FHEA) Community Contributions: Area Chair for NeurIPS 2025, ACM MM 2025, and ICLR 2025; Senior Program Committee member for IJCAI 2021; Editorial roles at IEEE T-CSVT, Springer The Visual Computer, and TMLR. Collaborations & Labs: Works with Oxford's BioMedIA and VGG groups, Meta Project Aria, and leads the MIx group at Birmingham, which focuses on open-world AI, 3D modeling, and cross-modal healthcare applications.

Kelly Salchow MacArthurمشاهده پروفایل

استاد

• Environmentally and socially focused graphic design
• Biophilia
• Design thinking
• +۶ مورد دیگر

Kelly Salchow MacArthur is a Professor of Graphic Design at Michigan State University's College of Arts and Letters within the Department of Art, Art History, and Design. She holds a Master of Fine Arts in Graphic Design with Honors from Rhode Island School of Design (RISD) and a Bachelor of Science in Graphic Design Magna Cum Laude from the University of Cincinnati. Her academic career includes previous positions as Program Head of Graphic Design at Kansas City Art Institute and teaching roles at RISD and The College of New Jersey before joining MSU in 2006. Her research centers on environmental awareness through design , exploring biophilia, materiality, and haptic processes. She investigates how spatial design and physical production methods can enhance audience emotional response to ecological issues. Her work integrates surface, volume, and material as creative opportunities parallel to traditional graphic design elements, informed by life sciences and inspired by architecture. MacArthur's design philosophy emphasizes environmental advocacy as fundamental to human survival , employing varied communicative strategies from humanistic appeals to alarming statistics. She capitalizes on visual communication's power to create empathy and incite proaction toward humanity's relationship with nature, often exploiting dimensional formats to emphasize messages. International Olympic Committee’s Culture and Olympic Heritage Commission Member President Emerita of United Designs Alliance (UDA) Former AIGA Detroit Chapter President Two-time Olympian rower 2023 International Institute for Information Design Editor’s Choice Award recipient 2019 MSU Distinguished Partnership Award winner for green mapping projects Her community engagement includes the Get Out The Vote: Empowering the Women’s Vote poster initiative commemorating 100 years of women's suffrage, developed with Nancy Skolos for AIGA and League of Women Voters. She also led community-based collage workshops with at-risk youth for Paris 2024 through the Olympian Artists Program, following her 2021 role as Olympian Artist-in-Residence for Tokyo Olympics where her Noren curtains celebrated peace and sport. MacArthur maintains active exhibition presence internationally, with works in permanent collections including the Japan Olympic Museum and Museum of Avant-garde (Switzerland). Her teaching covers core graphic design courses including GD 360, GD 460, GD 365, GD 465, and GD 462.

• 3D Computer Animation
• Motion Capture
• Virtual Production
• +۴ مورد دیگر

Chris Carter is a researcher and academic affiliated with Queensland University of Technology (QUT) , focusing on 3D computer animation , motion capture , and animation education . His work bridges technical innovation and pedagogical strategies, with a strong emphasis on virtual production, character animation, and cultural storytelling. PhD Thesis (2016) : "Animated Mise-en-scène and Aesthetic Harmony: An Expansion of Traditional Animation Principles to 3D Computer Animation." Research interests center on leveraging motion capture technology for stylized animation, enhancing animation pedagogy through experimental practices, and analyzing the intersection of visual effects and 3D animation in films like Hotel Transylvania and Adventures of Tintin . Recent publications explore hyper-realism , functional morphology in creature animation, and tools for entrepreneurship education, such as the Creative Business Model Canvas . His collaborative work with Michelle Carter and Joel Bennett examines virtual production integration, international student mobility programs, and the role of digital beings in Australian visual effects. While no formal awards are listed, his extensive conference contributions (e.g., ICERI2019 , FHAANZ Conference 2015 ) and journal publications (e.g., International Journal of Computer Graphics and Animation , Animation Practice, Process and Production ) reflect his active engagement in advancing animation research and education.

Amit Moscovich Eigerمشاهده پروفایل

مدرس ارشد

• Geometric estimation problems
• Manifold learning
• Protein structure determination
• +۴ مورد دیگر

Dr. Amit Moscovich Eiger is a Senior Lecturer (tenure-track Assistant Professor) in the Department of Statistics and Operations Research at the School of Mathematical Sciences, Tel Aviv University, where he has been employed since 2021. Prior to this position, he was a Postdoctoral Research Associate in the Program in Applied and Computational Mathematics (PACM) at Princeton University (2018-2021) and a Postdoctoral Fellow at the School of Mathematical Sciences, Tel Aviv University (2017-2018). His educational background includes: Ph.D. (direct track) in the Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, 2016 Physics and mathematics studies, the Hebrew University of Jerusalem, 2008 B.A. in computer science, the Open University of Israel, 2003 Dr. Moscovich Eiger's research focuses on developing methodology for statistics and machine learning, with particular emphasis on tools for mapping and analyzing large volumetric datasets. His work is motivated by key challenges in structural biology, specifically the 3D reconstruction and analysis of flexible proteins and other macromolecules from cryo-electron microscopy data. His research spans geometric estimation problems, manifold learning, computational statistics, and machine learning applications in biological imaging. Analysis of his recent publications reveals a strong focus on applying manifold learning techniques to structural biology problems, particularly cryo-EM data analysis. His work bridges theoretical statistics and practical computational methods, with significant contributions to handling heterogeneity in biological structures, developing fast algorithms for statistical computations, and creating novel approaches for analyzing protein conformations. A notable trend is the integration of optimal transport theory with manifold learning for biological applications. His scientific achievements include: Joseph Putter Ph.D. dissertation award, awarded by the Israeli Statistical Association, 2017 Dr. Moscovich Eiger is actively involved in mentoring graduate students, currently supervising multiple Ph.D. and M.Sc. students in statistics, data science, and operations research. His research is supported by prestigious funding sources including the Israel Science Foundation (ISF), the United States-Israel Binational Science Foundation (BSF), and the United States National Science Foundation (NSF). He leads a research group focused on computational methods for structural biology, particularly developing algorithms for cryo-electron microscopy data analysis. His team collaborates with researchers from institutions including Princeton University, Duke University, Hebrew University of Jerusalem, and KTH Royal Institute of Technology, creating a strong interdisciplinary network for advancing computational approaches in structural biology.

Matt Butlerمشاهده پروفایل

استاد

• Computer Science
• Video Game Development
• Virtual Reality
• +۳ مورد دیگر

Matt Butler is a Professor of Practice at Southern Methodist University, affiliated with the university's academic community through his role in education and industry collaboration. He holds a Master's degree in Computer Science, which underpins his technical expertise in interactive media and software development. Education: Master's in Computer Science Matt's research and professional focus lies at the intersection of video game design and emerging technologies, particularly virtual reality. He has contributed to the development of high-profile titles such as Fallout 4 VR , Skyrim VR , and Ghostbusters: The Video Game , showcasing his impact in creating immersive gaming experiences. Contact: Email: mbutler@smu.edu Phone: 214-768-5140 Office: 306K

Francisco Díaz Barrancasمشاهده پروفایل

پژوهشگر

• Computer Science
• Virtual Reality
• Color Science
• +۳ مورد دیگر

Francisco Díaz Barrancas is a PostDoctoral Researcher at the University of Extremadura, Spain, with affiliations to the Centro Universitario de Mérida. His work spans virtual reality systems, color science, and cybersecurity, supported by international collaborations including the ERC project "Color 3.0" at Justus-Liebig University and research stays in Portugal and Italy. PhD in Real-Time Rendering (UEx, 2022) M.Sc. in Computer Technologies Research (UEx, 2018) B.Sc. in Computer Engineering (UEx, 2017) Research focuses on hyperspectral imaging , color constancy , and VR device optimization , with recent work on neural network training in VR and cybersecurity in immersive environments . Publications span JCR-indexed journals and IEEE conferences , emphasizing perceptually-motivated solutions. Best Poster Award at XIV CONFERENZA DEL COLORE (2018) Teaching experience includes courses in Programming Fundamentals and Multimedia Communication at UEx. Internationally active with research stays at Colour Science Laboratory (Portugal), MIPS LAB (Italy), and ICVS Summer School (UK).

Daniel Ritchieمشاهده پروفایل

دانشیار

• Computer Graphics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Dr. Daniel Ritchie is an Associate Professor of Computer Science at Brown University , where he co-leads the Brown Visual Computing group. His research integrates Computer Graphics , Artificial Intelligence , and Machine Learning to develop neurosymbolic methods that combine procedural models and deep neural networks for 3D shape and scene creation.

Marta Fairénمشاهده پروفایل

استادیار

• Virtual Reality
• Collaborative Virtual Environments
• Haptic Interfaces
• +۳ مورد دیگر

Marta Fairén is an Assistant Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the ViRVIG (Visualització, Realitat Virtual i Interacció Gràfica) Research Group and serves as a senior researcher at the Virtual Reality Center of Barcelona . Her work focuses on advanced VR systems and software development platforms. Department of Computer Science (CS), UPC ViRVIG Research Group Virtual Reality Center of Barcelona Research Interests Virtual Reality software and interfaces with emphasis on collaborative environments Haptic device integration for tactile feedback Visualization of large-scale models in immersive settings Distributed systems for graphics applications GPU-accelerated algorithms for collision detection Educational technology in computer graphics and programming Research Trends The 15 most recent articles demonstrate ongoing work in VR training applications (2024), medical education (2023-2020), haptic rendering techniques (2016-2007), and educational software frameworks (2020-2006). Key themes include GPU optimization, surface detail modeling, and adaptive teaching tools. Scientific Awards Advising & Grants No formal student advisees are listed in the provided content, and grant details are not explicitly mentioned. Labs & Teams Active member of the ViRVIG Research Group and senior researcher at the Virtual Reality Center of Barcelona , focusing on collaborative VR environments and distributed graphics systems.

• High Performance Computing
• Entertainment and Game Informatics
• Human Interface and Interaction
• +۳ مورد دیگر

Dr. Tsukasa Fukusato is an Assistant Professor at the School of Fundamental Science and Engineering , Waseda University since April 2023. His work spans Human Interface and Interaction , Entertainment Informatics , and High-Performance Computing , with a focus on interactive systems for digital art and animation. Current Research: Developing interactive tools for 2D/3D animation, workflow systems in bioinformatics, and AI-assisted artistic creation Technical Expertise: Latent diffusion models, motion segmentation, sketch-based interfaces, garment transfer, and aerodynamic design His recent publications (2022-2024) demonstrate advancements in: Animation and motion design (15+ papers) Workflow execution services AI-guided facial synthesis Interactive garment/textile modeling Biomechanical simulation systems Visual language interfaces Scientific Awards: 2024 Best Poster Award (NICOGRAPH) 2023 Honorable Mention (Computational Visual Media) Multiple Best Paper/Poster awards (2014-2023) 2014 Nishida Award from the Institute of Image Information and Television Engineers of Japan Teaching Activities (2025): Lecturer for Computer Graphics, Media Science, and Project-Based Learning Supervising graduation theses and advanced digital media projects

Christian Geigerمشاهده پروفایل

استاد

• Media Informatics
• Computer Science
• Mixed Reality
• +۴ مورد دیگر

Christian Geiger is a Professor for Mixed Reality and Visualization at Hochschule Düsseldorf's Faculty of Media since November 2004. He leads the Innovationshub , a research lab near Düsseldorf Hauptbahnhof where students collaborate with SMEs on digitalization projects. Studied computer science at University of Paderborn Graduate scholarship at the graduate college "Parallele Rechnernetzwerke in der Produktionstechnik" 1998 PhD (Dr. rer. nat.) in "Schneller Entwurf interaktiver 3D-Animationen" 1997-2001: Project management and 3D/VR/AR development at Siemens Subsequent teaching/research at Hochschule Harz as Professor for Animation and 3D Graphics, coordinating the Media Informatics program His research focuses on user-centered development of human-technology interfaces , including: intelligent systems, virtual/augmented reality, information visualization, and algorithm design. Teaching modules include: BMI 14: Formale Modelle und Algorithmen (formal models, data structures, algorithm paradigms) BMI 93: Informationsvisualisierung (data visualization techniques, multivariate analysis) MMI 05.05: Interaktive Visualisierung (interactive 3D visualization, VR/AR applications) Coordinates the interdisciplinary EnerPRO projects for cross-border SMEs in renewable energy applications, working with ZIES (Center for Innovative Energy Systems).

Jürgen Singerمشاهده پروفایل

استاد

• Visual Computing
• Computer Graphics
• Computer Vision
• +۷ مورد دیگر

Jürgen Singer is a Professor of Visual Computing at Harz University of Applied Sciences, coordinating the Media Informatics degree program. His academic career spans over two decades, including prior roles as Professor of Computer Graphics, Animation, and Virtual Reality (2006-2015) and senior research positions at institutions like MIT and the University of Texas. Education: PhD in Mathematics (1995), University of Houston Diploma in Theoretical Physics (1988), Friedrich-Alexander University Erlangen-Nuremberg Research Interests focus on visual computing, encompassing image processing, computer graphics, virtual reality, and machine learning. He explores applications in game development, 3D rendering, and web technologies, particularly emphasizing procedural generation, AI integration, and real-time visualization. Teaching Contributions include core courses in Java programming, software tools (Git, Docker, Jenkins), mathematics for computer graphics, and advanced topics like concurrency and distributed programming. His supervised theses reflect ongoing innovation in DevOps, metaverse content creation, and accessibility in UI design. Scientific Awards are not explicitly mentioned in the provided text. Labs & Teams: While specific lab details aren't provided, his work with student theses indicates collaboration in media informatics, game development, and visualization research groups.

• Academic heritage
• Architectural drawing
• Military architecture
• +۸ مورد دیگر

Martino Pavignano is a Fixed-term Assistant Professor at the Department of Architecture and Design (DAD) of Politecnico di Torino. His work bridges architectural heritage conservation with modern representation techniques. Active in courses like Architectural Drawing and Surveying (2020-2025) Teaches Geometric Modeling in Architecture (2023-2025) Collaborates on Design Representation modules Research focuses on: Academic heritage accessibility Epistemology of architectural drawing Historical military architecture Interdisciplinary representation methods Visual culture of architecture Recent publications examine: Antoine de Ville's 1628 fortress geometry Digital databases for military treatises Inclusive design education strategies University heritage valorization through analog/digital twins Awards & Recognitions: Effective member of Italian Union for Design (2016-present) RIMINI SCHOOL research funding participation certification (2025) Teaching focuses on: Architectural restoration compatibility Descriptive geometry Digital representation techniques Historical building surveying

Bernd Zechmannمشاهده پروفایل

استاد پژوهشی

• Electron Microscopy
• Light Microscopy
• Plant Stress Physiology
• +۱۲ مورد دیگر

Dr. Bernd Zechmann is a Research Professor and Director of the Center for Microscopy and Imaging (CMI) at Baylor University, located in the Baylor Sciences Building. He leads a research program focused on ultrastructural analysis of stress responses in plants, bacteria, and human pathogens using advanced electron and light microscopy techniques. PhD in Biology and Botany, University of Graz, Austria (2003) Postdoctoral Lecture Qualification (Habilitation), University of Graz (2009) Undergraduate studies in Biology and Botany, University of Graz (1995–2001) Study abroad at University of Oklahoma (1998–1999) His research interests center on subcellular redox biology , particularly the compartment-specific roles of glutathione and reactive oxygen species during environmental stress. He is also deeply involved in developing novel sample preparation methods for microscopy and 3D ultrastructural imaging of plant and microbial systems. His recent work extends into inclusive science education through tactile and visual aids for the blind. His recent publications (2021–2024) reflect a strong trend in advanced microscopy applications across diverse systems—from plant-virus interactions and fungal pathogenesis to bacterial biofilms and human cell ultrastructure. There is a consistent emphasis on redox dynamics , stress adaptation , and methodological innovation , particularly in sample preparation and imaging resolution. Several 2024 papers highlight his growing interest in accessible science communication . Dr. Zechmann has received several scientific honors: Fritz-Grasenick Award, Austrian Society for Electron Microscopy (2008) Erzherzog Johann Research Award, Styrian Government (2005) Achievement Award, University of Graz (2005) Dissertation Award, University of Graz (2002) As Director of CMI, he mentors students and researchers in microscopy techniques and supports interdisciplinary research across Baylor. He has collaborated on numerous grants and publications involving plant stress, microbial pathogenesis, and nanotoxicology. His lab contributes to both fundamental biological discovery and applied method development. Dr. Zechmann leads the Center for Microscopy and Imaging, a core facility supporting advanced imaging across disciplines. His team specializes in electron microscopy, 3D reconstruction, immunolabeling, and innovative staining protocols. The center promotes training, collaboration, and outreach, including projects on accessible science for visually impaired learners.

James A Walkerمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Quantum Computing
• +۳ مورد دیگر

Dr. James A Walker is a Senior Lecturer in the Department of Computer Science at the University of York, UK. His primary affiliation is with the Artificial Intelligence research group within the department. He holds a permanent academic position and is actively involved in research and teaching. His research interests span multiple areas including artificial intelligence, machine learning, quantum computing, esports analytics, and constraint programming. He has contributed to high-impact studies on topics such as Bayesian frameworks for neural networks, SAT encoding techniques, and quantum error correction. Dr. Walker's work often intersects interdisciplinary fields, blending theoretical computer science with practical applications in gaming, healthcare, and aerospace. Department: Department of Computer Science University: University of York Research Group: Artificial Intelligence His recent publications highlight a focus on cutting-edge technologies such as quantum computing, esports strategy analysis, and advanced machine learning methodologies. He has consistently published in top-tier venues, demonstrating expertise in both foundational and applied computer science research. Dr. Walker's work on real-time 3D tracking and quantum phase correction underscores his ability to tackle complex technical challenges with innovative solutions. His contributions to esports analytics and game design parameters reflect an interest in applying AI techniques to dynamic, competitive environments.

John F Hughesمشاهده پروفایل

استاد

• Computer Graphics
• Mathematical Modeling
• Human-Computer Interaction
• +۴ مورد دیگر

John F Hughes is a Professor of Computer Science at Brown University's School of Engineering. His work bridges computer graphics and mathematics, with a focus on intuitive interfaces for 3D modeling and visualization. He has made significant contributions to sketch-based interfaces, art-based graphics, and shape modeling. Education: PhD in Mathematics, University of California, Berkeley (1982) MA in Mathematics, University of California, Berkeley (1982) BA in Mathematics, Princeton University (1977) Professor Hughes's research centers on computer graphics with strong mathematical foundations. He specializes in the modeling of shape and form at multiple scales, human-computer interaction, and art-based graphics. His work explores how artists' techniques can be utilized to enhance human-computer communication about shape. He has recently expressed interest in machine learning applications to graphics problems. His approach emphasizes informal modes of input and output, particularly sketching as a means to describe shape and expressive renderings for information communication. His publication record shows a consistent focus on sketch-based interfaces for 3D modeling, art-based rendering techniques, and mathematical approaches to graphics problems. Over time, his work has evolved from foundational mathematical approaches to more applied interactive systems, while maintaining a strong connection to mathematical principles. Recent publications indicate expanding interests into machine learning applications for graphics and computational approaches to sparse data. Scientific Awards: User Interface Software and Technology (UIST) Best Paper Award Professor Hughes has received substantial research funding from major technology companies and government agencies. His funded research includes a gift from Pixar supporting graduate fellowships in computer graphics (since 2000), research grants from Microsoft, NSF, and collaborations with IBM and Sun Microsystems. His work has been instrumental in advancing sketch-based interfaces and art-based rendering techniques, with applications ranging from character animation to document navigation interfaces. He maintains active collaborations with researchers across the computer graphics community, particularly in the areas of sketch-based interfaces and modeling. His work with Takeo Igarashi, Tomer Moscovich, and other collaborators has been highly influential in the computer graphics community, shaping how we interact with 3D content through intuitive sketching interfaces.