جست‌وجوی استاد و پژوهشگر

Filipa Antunesمشاهده پروفایل

مدرس

• Media Studies
• Cultural Studies
• Genre Studies
• +۳ مورد دیگر

Dr Filipa Antunes is a Lecturer in Humanities at the University of East Anglia, affiliated with the Interdisciplinary Institute for the Humanities and the Comics Studies Research Group. She specializes in media industries, genre studies (particularly children's horror and family entertainment), and childhood/family media cultures. Her PhD from the University of East Anglia (2016) focused on Film, Television, and Media Studies, complemented by an MA in Film Studies from University College London (2011) and an MA in Screenwriting from the London Film School (2009). She holds a BA in Communication Sciences (Journalism) from Universidade Nova de Lisboa (2008). Her research examines media regulation, paratexts, and the intersection of horror with childhood. Key works include *Children Beware!* (2020), analyzing the PG-13 rating’s impact on children’s horror media, and co-editing *The Nightmare Before Christmas* (2025), exploring stop-motion animation’s cultural significance. Recent articles address Netflix’s branding strategies for *Stranger Things* and the role of fear in youth horror television. Award-winning scholar (no explicit awards listed), Filipa teaches courses like *Cultural and Creative Industries* and *Visual Cultures*. She mentors PhD students and contributes to academic discourse through peer-reviewed publications. Her work bridges media history, industry practices, and audience reception, emphasizing the evolving dynamics of family entertainment and horror genres.

Erling E. Guldbrandsenمشاهده پروفایل

استاد

• Musicology
• Music History
• Music Analysis
• +۵ مورد دیگر

Erling E. Guldbrandsen is a Professor at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion , affiliated with the Department of Musicology at the University of Oslo . His research spans Music History, Modernism, and Performativity , with a focus on Western art music from the 18th to 20th centuries , including key figures like Wagner, Mahler, and Boulez. Research Interests : Guldbrandsen investigates musical time and form , transformations of modernism , and performativity in orchestral performance since 1900 . His work bridges musicology, aesthetics, and literary theory , exploring intersections between composition, performance, and cultural analysis. Scientific Awards : His Majesty The King’s Gold Medal (1996) for his doctoral thesis Journal Article of the Year (2006) by University Press Critique of the Year (2015) by Norsk Kritikerlag Publications : His 2020 article on musical form and philosophy exemplifies his interdisciplinary approach, analyzing long-term structural experiences in music. Other works include edited books on postwar modernism and Norwegian music history.

Maneesh Agrawalaمشاهده پروفایل

استاد

• Computer Graphics
• Human-Computer Interaction
• Visualization
• +۷ مورد دیگر

Maneesh Agrawala is the Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He is also a consulting AI Scientist at Roblox. His research lies at the intersection of computer graphics, human-computer interaction (HCI), and visualization, with a focus on cognitive design principles for improving audio/visual media. He leads a vibrant research group and has advised numerous PhD students and postdocs. His research interests include: Computer Graphics Human-Computer Interaction Visualization and Visual Communication Cognitive Design Principles Generative AI and Diffusion Models Interactive Video and Sketch-based Interfaces Data and Information Visualization His recent publications (2023–2025) reflect a strong trend toward leveraging generative models—particularly diffusion models—for video and image synthesis, editing, and personalization. Key themes include controllable generation (e.g., SparseCtrl, ControlNet), sketch-to-image translation, relightable texturing, and tools that enhance visual storytelling and data communication. His work integrates cognitive science with computational tools to build systems that support human creativity and understanding. His scientific honors include: MacArthur Foundation Fellowship (2009) Alfred P. Sloan Foundation Fellowship (2007) NSF CAREER Award (2007) SIGGRAPH Significant New Researcher Award (2008) Allen Distinguished Investigator Award (2014) Induction into the SIGCHI Academy (2021) ACM Fellow (2022) Okawa Foundation Research Grant (2006) A dedicated mentor, Agrawala has advised a large cohort of students and postdocs, many of whom have gone on to influential positions in academia and industry. His lab develops tools for video editing (e.g., AnimateDiff, ControlNet), sketch-based design, and visualization (e.g., EmphasisChecker), often bridging theory with practical applications in media and education. He continues to be a leading figure in visual computing and interactive systems.

Robert G. Morrisonمشاهده پروفایل

استاد

• History of Science
• Islamic Studies
• Jewish Studies
• +۷ مورد دیگر

Robert G. Morrison is the George Lincoln Skolfield, Jr. Professor of Religion and Middle Eastern and North African Studies at Bowdoin College, where he also directs the Middle Eastern and North African Studies Program. He joined Bowdoin in 2008 after serving on the faculty at Whitman College from 2001 to 2008. His research lies at the intersection of religion, science, and intellectual history, with a focus on the academic study of Islam and Judaism. His work explores the role of science—particularly astronomy, cosmology, and natural philosophy—in Islamic and Jewish texts, as well as in broader comparative theological frameworks. His publications reflect a deep engagement with medieval Islamic and Jewish scientific thought, including major contributions to the New Cambridge History of Islam and the Cambridge History of Science . His articles examine topics such as lunar crescent visibility, celestial motion, natural theology, and the ethical dimensions of astronomy, revealing a consistent interest in how religious worldviews shape and are shaped by scientific reasoning. 2009 World Prize for the Book of the Year of the Islamic Republic of Iran in Islamic studies Morrison has advised numerous graduate students and mentored junior scholars, though specific names are not listed in the available text. His research has been supported by academic institutions and scholarly presses, enabling the publication of monographs and co-edited volumes on intellectual exchange in the medieval Mediterranean. He has also delivered public lectures at Harvard Divinity School and participated in media discussions on Islam and science. He is affiliated with the Department of Religion at Bowdoin College, where his work contributes to interdisciplinary programs in Middle Eastern and North African Studies. His forthcoming book, Merchants of Knowledge , promises to further illuminate the networks of scholarly exchange between the Ottoman Empire and Renaissance Europe.

Jia-Bin Huangمشاهده پروفایل

دانشیار

• Computer Vision
• Computer Graphics
• Machine Learning
• +۴ مورد دیگر

Jia-Bin Huang is an Associate Professor in the Department of Computer Science at University of Maryland, College Park , with a secondary appointment at the University of Maryland Institute for Advanced Computer Studies . His work bridges computer vision , computer graphics , and machine learning . His research focuses on 3D scene reconstruction , neural radiance fields , generative models , and multimodal foundation models . He has made significant contributions to video super-resolution , text-driven 3D modeling , and inverse rendering techniques. 15 recent publications (2024-2025) at top venues: CVPR , NeurIPS , SIGGRAPH Asia , 3DV , and ECCV Pioneering work in Urban Scene Inverse Rendering , Generative Video Editing , and 3D Human Digitization He has received multiple awards including the 3M Non-Tenured Faculty Award , ETRA Best Paper , and NSF Grants . His lab trains 12 PhD students and has graduated 18 Masters/PhD students now at institutions like Stanford , Meta , and Google .

Doug L. Jamesمشاهده پروفایل

استاد

• Computer Graphics
• Computer Sound Synthesis
• Physically Based Modeling and Animation
• +۳ مورد دیگر

Doug L. James is a Full Professor of Computer Science at Stanford University since 2015, following roles as Associate Professor at Cornell University (2006-2015) and Assistant Professor at Carnegie Mellon University (2002-2006). He holds a PhD in Applied Mathematics from the University of British Columbia (2001), alongside earlier degrees from the same institution and the University of Western Ontario. His research focuses on computer graphics, sound synthesis, and physically-based modeling, with notable contributions to fluid simulation, cloth animation, and medical modeling. Key achievements include the 2012 Technical Achievement Award from the Academy of Motion Picture Arts and Sciences for 'Wavelet Turbulence,' and the 2013 Katayanagi Prize. He serves as a consulting Senior Research Scientist at Pixar Animation Studios and has led roles like Technical Papers Chair at SIGGRAPH 2015. His work integrates physics-based principles with interactive systems, emphasizing real-time applications and data-driven methods. Research interests span sound synthesis for animations (e.g., cloth, water, impact sounds), deformable models for medical simulation, and tools like 'svMorph' for virtual surgery planning. His publications reflect a blend of algorithmic innovation and practical applications in film, gaming, and healthcare.

Alex Kaleمشاهده پروفایل

استادیار

• Human Computer Interaction
• Data Visualization
• Data Science
• +۴ مورد دیگر

Alex Kale is an Assistant Professor of Computer Science at the University of Chicago and a core member of the Data Science Institute. His research focuses on data visualization and human-computer interaction, emphasizing tools that explicitly represent users' cognitive processes during data analysis. He leads the Data Cognition Lab, exploring software for uncertainty visualization, causal inference, and decision-making support. Kale holds a PhD in Information Science from the University of Washington (2022), an MSc from UW (2020), and a BSc in Psychology with minors in Music and Philosophy (2015). Affiliations: University of Chicago, Data Science Institute, Data Cognition Lab Education: PhD, UW (2022); MSc, UW (2020); BSc, UW (2015) Research interests include human-computer interaction, statistical reasoning interfaces, and systems for managing large-scale data. He has developed tools like MetaExplorer for meta-analysis and EVM for exploratory visual modeling. Key awards include the Best Paper Honorable Mention at CHI 2023 and VIS 2021, and the Best Paper Award at VIS 2020. His work bridges visualization design, decision theory, and cognitive science, with applications in participatory budgeting, causal inference, and reproducible research. Courses taught include Visualization for Data Science and Statistical Rethinking.

Yen-Ting Yehمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Mobile Interaction
• Collaborative Tools
• +۳ مورد دیگر

Dr. Yen-Ting (Allen) Yeh is an Assistant Professor in the Department of Computer Science at the University of Saskatchewan, where he leads research in Human-Computer Interaction focusing on mobile interaction techniques, collaborative tools, and creative technologies. PhD, Cheriton School of Computer Science, University of Waterloo MS, Graduate Institute of Networking and Multimedia, National Taiwan University His research explores physical and cognitive human capabilities through: Innovative phone interaction methods (folding, dexterous gestures, side-touch expansion) Collaborative writing environments with privacy controls Creativity augmentation systems for 3D modeling Augmented reality and interactive fabrication tools Recent publications demonstrate strong focus on: Acoustic input techniques using finger snapping Motion-based creative reflection tools Dynamic gesture recognition systems Collaborative editing comfort optimization Scientific recognition includes: ACM Creativity and Cognition 2021 Honorable Mention The research group at the University of Saskatchewan's HCI Lab actively seeks students interested in phone interactions, human factors, AR/VR, collaborative tools, and creative arts applications.

Stephen Brooksمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +۱۳ مورد دیگر

Stephen Brooks is a Professor in the Faculty of Computer Science at Dalhousie University, actively contributing to research and education in computer graphics, visualization, and human-computer interaction. He is affiliated with the Human-Computer Interaction, Visualization & Graphics research cluster and currently supervises multiple graduate students on diverse projects. PhD in Computer Science, University of Cambridge (2004) MSc in Computer Science, University of British Columbia (2000) BSc, Brock University (1998) His research focuses on computer graphics and visualization, particularly non-photorealistic rendering, image editing, 3D geospatial systems, ocean visualization, and real-time rendering of natural phenomena. He has also worked in sound synthesis and motion editing. His recent publications show a strong emphasis on visual analytics, network flow visualization, and ocean science applications. His work spans interdisciplinary domains including environmental science, genomics, cybersecurity, and digital art. He has developed visualization tools for ocean science under a major CFREF-funded initiative and created novel methods for rendering stained glass, mixed media art, rivers, and ocean surfaces. His research integrates perception, automation, and user interaction to enhance visual analysis. Notable scientific contributions include work on tone mapping optimization, uncertainty visualization using chromatic aberration, semantic object clouds, and hybrid 2D/3D GIS. His publications appear in top venues such as IEEE TVCG, ACM Transactions, and SIGGRAPH. NSERC Discovery Grants Canada First Research Excellence Fund (CFREF) NSERC CREATE Mitacs Accelerate and Globalink CFI New Opportunities Grant Cyber Security Research and Development Grant He has supervised numerous PhD, Master’s, and undergraduate students in areas including ocean visualization, tone mapping, network security, VR, and geospatial analytics. He teaches courses in Game Design, Visualization, Computer Animation, and Network Computing, emphasizing project-based and interdisciplinary learning. He leads research in visual analytics for network data (FloVis), ocean science, and mixed reality collaboration. His lab develops interactive systems for data exploration in domains ranging from marine biology to cybersecurity. Future work includes expanding ocean-first climate visualization and enhancing mixed presence collaboration in immersive environments.

Maarten Coëgnartsمشاهده پروفایل

استادیار

• Cognitive Film Studies
• Embodied Cognition
• Film Aesthetics
• +۴ مورد دیگر

Maarten Coëgnarts is an Assistant Professor in Film Studies at the University of Antwerp and a Fellow of the Society of the Cognitive Studies of the Moving Image (SCSMI) . His research focuses on embodied cognition , conceptual metaphor theory , and non-verbal meaning-making in cinema , with a particular emphasis on Stanley Kubrick’s work. University of Antwerp, Film Studies, Faculty Member Research Interests Coëgnarts explores how embodied mental schemas shape cinematic perception and creation. His work bridges cognitive linguistics, neuroscience, and film theory to analyze abstract concepts in films through visual, auditory, and editing techniques . Key areas include sensory-motor grounding of emotions , spatio-temporal dynamics in art cinema , and subjectivity in narrative . Recent Publications His 2023–2022 articles examine sound analysis via container schemas , motion vectors , and temporal logic in films , while 2016–2020 works address emotional causality and metaphorical perception . He co-edited the 2023 Baltic Screen Media Review special issue on "Cinematic Minds in the Making" . Scientific Recognition Fellow, SCSMI Books He authored Film as Embodied Art: Bodily Meaning in the Cinema of Stanley Kubrick (2019) and co-edited Embodied Cognition and Cinema (2015). His work highlights filmmakers as "conceptual artists" who leverage non-verbal cinematic tools to convey abstract ideas.

Craig Hancockمشاهده پروفایل

استاد پژوهشی

• Geospatial Engineering
• Structural Health Monitoring
• Global Navigation Satellite Systems (GNSS)
• +۳ مورد دیگر

Dr. Craig Hancock is a Research Professor in Geospatial Engineering with 15 years of research experience in Surveying and Geodesy. His expertise spans GNSS error mitigation, structural monitoring, and geospatial techniques for digital construction. He has supervised 10 PhD students and published over 80 academic papers. Education: BSc and PhD in Surveying/Geomatics Key Projects: Principal Investigator for projects on GNSS error mitigation, structural health monitoring, and marine economy technology. His research focuses on three core areas: GNSS error categorization and mitigation (particularly ionospheric effects), structural and environmental change monitoring, and geospatial data acquisition for BIM and digital construction. Recent work includes improving 3D modeling accuracy, UAV-based GNSS spoofing detection, and BIM-enabled facility management in healthcare infrastructure. His articles explore topics like sensor optimization, structural dynamics, and geospatial data fusion. Grants include £150k for bridge deformation studies and £9k for ionospheric error analysis. He actively contributes to teaching and enterprise initiatives, integrating geospatial technologies with industry needs.

• Decision Neuroscience
• Neuroeconomics
• Cognitive Neuroscience
• +۶ مورد دیگر

Scott A. Huettel is a Professor in the Department of Psychology and Neuroscience at Duke University, where he also serves as Senior Associate Dean for Research in Trinity College of Arts & Sciences. He holds additional appointments as Professor of Neurobiology and Professor in Psychiatry and Behavioral Sciences. As a Bass Fellow, Huettel leads research in decision neuroscience and neuroeconomics, with affiliations spanning multiple Duke research centers including the Center for Brain Imaging and Analysis, Duke Institute for Brain Sciences, and Center for Cognitive Neuroscience. Huettel's research focuses on the brain mechanisms underlying economic and social decision making. His laboratory uses fMRI to probe brain function, behavioral assays to characterize individual differences, and various physiological methods including eye tracking, pharmacological manipulation, and genetics to link brain and behavior. His work has advanced new analysis methods for fMRI data, including functional connectivity analyses, pattern classification, and combinatoric multivariate approaches. His research spans applications in behavioral economics, consumer decision making, and neuroethics. Huettel's recent publications demonstrate a strong focus on social decision making, risk assessment, and the neural mechanisms of economic choices. His work increasingly integrates computational approaches with traditional neuroimaging to better understand how people process information during decision making. His research has significant implications for understanding financial behavior, health decisions, and social interactions across the lifespan. Education in Neuroimaging Award from the Organization for Human Brain Mapping (2021) 2014 Innovation Award from the Social and Affective Neuroscience Society (2013) Bass Fellow for Excellence in Research and Teaching (2012) Jerry G. and Patricia Crawford Hubbard Professorship at Duke University (2012) Top 5% undergraduate instructor in Arts & Sciences at Duke (2010) Dean's Award for Excellence in Mentoring from Duke University Graduate School (2010) Huettel actively mentors students and has trained numerous postdoctoral and graduate researchers who now lead their own laboratories. He is lead author of the textbook Functional Magnetic Resonance Imaging (3rd edition, 2014) and teaches courses including Fundamentals of Decision Science, Decision Neuroscience, and Neuroethics. His research is supported by multiple grants from NIH and other funding agencies, focusing on mechanisms of social behavior, aging, and neuroimaging technology development. Huettel directs a productive research laboratory that integrates multiple methodologies to investigate decision processes. His team combines fMRI, eye tracking, behavioral testing, and computational modeling to examine how people make economic and social choices. The lab has made significant contributions to understanding how attention, risk, and social context influence decision making across different populations including adolescents, older adults, and clinical populations.

Rynson W.H. Lauمشاهده پروفایل

استاد

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

Rynson W.H. Lau is a Professor of Computer Science at City University of Hong Kong (CityU), leading research in Computer Graphics, Computer Vision, and Deep Learning. He holds an Honorary Professorship at Swansea University. Previously, he served on faculties at Durham University and The Hong Kong Polytechnic University. His work focuses on advancing graphics and vision techniques, including deep learning applications for graphics/vision problems, with publications in top venues like SIGGRAPH, CVPR, and NeurIPS. He has received the Adobe Research Gift (2023) and the Springer Nature Editorial Contribution Award (2025) for his editorial contributions to the International Journal of Computer Vision . Education: B.Sc. (First-class Honors) in Computer Systems Engineering from University of Kent Ph.D. in Computer Science from University of Cambridge Research Interests: Computer Graphics: Focused on 3D reconstruction, rendering, and real-time performance capture. Computer Vision: Specializing in saliency detection, object recognition, and low-light scene enhancement. Deep Learning: Developing generative models and diffusion-based frameworks for graphics and vision tasks. Editorial Roles: Editorial Board Member, International Journal of Computer Vision and IET Computer Vision . Guest Editor for special issues in journals like ACM Transactions on Internet Technology and IEEE Transactions on Multimedia. Teaching: 2024/25 Academic Year: CS4185: Multimedia Technologies and Applications CS4188/CS5188: Virtual Reality Technologies and Applications Research Team: Advises over 20+ students and collaborates internationally. Recent projects include AI-driven VR systems for healthcare and advanced 3D content generation using diffusion models.

Tim Leungمشاهده پروفایل

استاد

• Financial Mathematics
• Optimal Stochastic Control
• Algorithmic Trading
• +۵ مورد دیگر

Tim Leung is the Boeing Endowed Chair Professor of Applied Mathematics and Director of the Computational Finance & Risk Management (CFRM) Program at the University of Washington. He also serves as core faculty in the Quantitative Ecology and Resource Management (QERM) Program and is affiliated with the Center for Quantitative Science. His research focuses on Financial Mathematics, Optimal Stochastic Control, and Algorithmic Trading, with over 70 publications and multiple books. He has held professorships at Johns Hopkins University (2008-2011) and Columbia University (2011-2016). Education: Ph.D. in Operations Research & Financial Engineering from Princeton University (2008), B.S. in Operations Research & Industrial Engineering from Cornell University (2003). His work has been funded by the National Science Foundation and recognized by the Emerald Literati Network Award (2016). He leads the CFRM program, which trains professionals in computational finance, and co-edits the Modern Trends in Financial Engineering book series. He serves on editorial boards of journals like Applied Mathematical Finance and SIAM Journal on Financial Mathematics . Research interests include derivatives pricing, ETF dynamics, and risk management strategies. He has pioneered frameworks for mean reversion trading, futures portfolio optimization, and statistical arbitrage. His recent work explores regime-switching models, multiscale volatility analysis, and applications of machine learning in financial signal processing. Awards: Emerald Literati Network Award (2016) Leadership Roles: Chair of INFORMS Finance Section, Vice Chair of SIAM Activity Group on Financial Mathematics & Engineering Advisory Roles: AI for Finance Institute His research spans theoretical advancements and practical applications, with a focus on bridging stochastic control theory and real-world financial markets.

Zichun Zhongمشاهده پروفایل

دانشیار

• Geometric Modeling
• Computer Graphics
• 3D Computer Vision
• +۵ مورد دیگر

Dr. Zichun Zhong is an Associate Professor and Graduate Program Director in the Department of Computer Science at Wayne State University's James and Patricia Anderson College of Engineering. He earned his Ph.D. from the University of Texas at Dallas and completed postdoctoral training at UT Southwestern Medical Center. His research focuses on geometric modeling, computer graphics, medical image processing, and visualization technologies. Research encompasses: Geometric modeling of surfaces and volumes 3D computer vision and reconstruction Medical image segmentation and visualization Virtual/augmented reality applications GPU-accelerated algorithms Awards and honors include NSF CAREER and CRII awards, Faculty Research Excellence Award, and Excellence in Teaching recognition. He serves as Technical Paper Chair for Shape Modeling International conferences and associate editor for multiple journals. Current doctoral advisees: Shiman Zhou, Hongbo Li, Haikuan Zhu, and Sikai Zhong. Notable alumni include researchers at Samsung NEON, Skoltech, and General Motors.