جست‌وجوی استاد و پژوهشگر

Gary Kibbinsمشاهده پروفایل

استاد

• Aesthetic theory
• Experimental media
• Experimental literature
• +۴ مورد دیگر

Gary Kibbins is a Full Professor and Undergraduate Chair in the Film and Media department at Queen’s University. He holds a joint appointment with the Isabel Bader Centre for the Performing Arts. A media artist and writer, he previously taught at the California Institute of the Arts until 2000. His research focuses on aesthetic theory, experimental media, image-text relations, and philosophical inquiries into art’s role in culture. Key creative works include experimental films such as Worldless (2023), P&Not-P Learn Non-Euclidean Geometry (2022), and installations like X Marks (2019, with Matt Rogalsky). His 2005 essay collection Grammar & Not-Grammar explores nonsense in experimental cinema. Collaborations span disciplines, including a 2019 installation analyzing Finnegans Wake ’s lexical patterns. Media works often blend philosophical inquiry with visual experimentation, addressing themes like existential uncertainty ( God Hates Himself ), postcolonial legal frameworks ( Mama Minde ), and the limits of human understanding ( 7 Anthropologies ). His practice bridges fine art, theory, and pedagogy through innovative multimedia formats.

Tim Weningerمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Social Media Analysis
• Network Science
• +۳ مورد دیگر

Tim Weninger is the Frank M. Freimann Associate Professor of Engineering and Director of Graduate Studies in the Department of Computer Science and Engineering at the University of Notre Dame's College of Engineering. He is affiliated with the Lucy Family Institute for Data and Society, the Pulte Institute for Global Development, and the Technology Ethics Center. His research focuses on artificial intelligence, social media analysis, network science, and understanding human information consumption/curation behaviors. Key areas include disinformation detection, AI ethics, and sociotechnical systems. Weninger holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (2013). His work is funded by NSF, DARPA, USAID, Templeton Foundation, AFOSR, and Pacific Northwest National Laboratory. He actively recruits graduate students interested in AI/social media intersections. Research emphasizes real-time social media manipulation detection (e.g., MEWS system), propaganda analysis in conflicts (e.g., Russia-Ukraine Telegram narratives), and cross-cultural science communication studies across 68 countries. Recent projects include VirTLab for human-AI teaming simulations and MedCodER for medical coding assistance. Key contributions include frameworks for graph modeling (Vertex Replacement Grammars), meme dynamics analysis, and early warning systems for disinformation. His work bridges technical innovation with societal impact through ethical AI design and misinformation mitigation strategies.

Terra Edwardsمشاهده پروفایل

استادیار

• Linguistic Anthropology
• Language Emergence
• DeafBlind Communities
• +۳ مورد دیگر

Terra Edwards is an Assistant Professor in the Department of Comparative Human Development at the University of Chicago. She holds a Ph.D. in Anthropology from the University of California, Berkeley, and an M.A. in Anthropology from the University of Texas at Austin. Previously, she served on the faculty at Gallaudet University's Department of Linguistics and Saint Louis University's Department of Sociology & Anthropology. Her research focuses on linguistic anthropology, language emergence, and DeafBlind communities, particularly exploring the protactile movement that redefines human interaction through tactile modalities. Her groundbreaking work examines how DeafBlind communities develop new tactile languages and social frameworks as visual reliance diminishes. Supported by grants from the National Science Foundation and Wenner-Gren Foundation, her research integrates socio-cultural anthropology, cognitive science, and ecological semiotics. Her forthcoming book, Going Tactile: Life at the Limits of Language , details 30 months of ethnographic fieldwork exploring how tactile interaction reshapes language structures and social dynamics. Edwards' methodologies include interactional and linguistic data analysis, emphasizing the interplay between sensory experience and communicative practices. She advocates for tactile-first approaches to accessibility, influencing both academic discourse and practical technologies like wearable haptic systems. Her work bridges anthropology, linguistics, and technology, offering insights into embodied cognition and alternative communication frameworks.

Maryam Hosseiniمشاهده پروفایل

استادیار

• Computer Vision
• Urban Accessibility
• Walkability
• +۵ مورد دیگر

Maryam Hosseini is an Assistant Professor in the Department of City & Regional Planning at UC Berkeley. Her research integrates computer vision, urban systems analysis, and economics to improve urban accessibility, walkability, and equity. She develops open-source tools like Tile2Net for automated sidewalk network mapping and CitySurfaces for material segmentation analysis. Education: PhD in Urban Systems from Rutgers University (2022), Postdoctoral Researcher at MIT’s Department of Urban Studies and Planning, and NYU’s VIDA Lab. Her work emphasizes disability access, climate resilience, and scalable urban solutions. Research focuses include pedestrian heat exposure, sidewalk accessibility metrics, and large-scale urban data analysis. Collaborations with the Makeability Lab at UW involve creating comprehensive accessibility indices for cities. Current projects address automated topology fixes in networks, NYC pedestrian flow analysis, and multimodal poverty estimation in developing regions. Teaching includes CP255 – Urban Informatics and Visualization. Her tools are featured in media outlets like StreetsBlog USA and Planetizen, aiding community advocacy efforts for infrastructure improvements.

Jerry Taltonمشاهده پروفایل

استادیار

• Computer Graphics
• Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Jerry Talton is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign (UIUC). He holds a PhD in Computer Science from Stanford University (2011), and BS and MS degrees from UIUC (2003 and 2006, respectively). His research focuses on computer graphics, machine learning, and human-computer interaction, with notable work on emoji-first communication, rating systems analysis, and data-driven design tools. Key contributions include the Opico study on emoji communication in social apps and the Bricolage algorithm for web design transfer. He received the Siebel School Young Alumni Achievement Award (2022). His work spans academic collaborations with institutions like Stanford and industry applications in social media and design. Research interests emphasize user interaction, algorithmic ranking, and leveraging big data for design automation. His publications address challenges in social networks, fluid simulation, and educational outreach through initiatives like Scavenger Hunt, enhancing student retention in computer science.

Kristen Naegleمشاهده پروفایل

دانشیار

• Machine Learning and Data Science
• Systems Biology
• Bioinformatics and Computational Biology
• +۴ مورد دیگر

Kristen Naegle, Ph.D., is an Associate Professor in Biomedical Engineering at the University of Virginia’s School of Engineering and Applied Science, affiliated with the Center for Public Health Genomics. Her work integrates computational and experimental methods to study tyrosine phosphorylation networks in cellular signaling, focusing on their roles in cancer and other diseases. She leads the Naegle Lab, which develops tools and algorithms to advance precision medicine and systems biology. Naegle holds a Ph.D. in Biological Engineering from MIT (2010), an S.M. in Biological Engineering from MIT (2006), and degrees in Electrical Engineering from the University of Washington (B.S., 2001; M.S., 2004). Her research bridges disciplines, combining machine learning, systems biology, and bioinformatics to decode complex cellular processes. Her research interests include machine learning applications in biomedical data, systems biology modeling, bioinformatics tool development, and translational biotechnology. She investigates how tyrosine phosphorylation regulates cell signaling in cancer, diabetes, and inflammatory diseases, with a focus on cell context-dependent network dysregulation. Naegle has received notable awards, including the UVA Research Achievement Award (2022) and the “Best of 2021” recognition from PLoS Computational Biology. She teaches courses such as BME 4360/6360: Molecular Data Science and BME 6xxx Research Fundamentals. Key grants include NIH/NCI funding for developing molecular tools for tyrosine phosphorylation studies and NIH/NIGMS support for systems-level analyses of phosphorylation networks. Collaborative projects include the NIH/NCI-funded SASCO Center, investigating cancer organelle adaptations, and NIH/NAIAD-funded work on T-cell signaling in immune checkpoint therapies. Her lab’s innovations, such as the KSTAR algorithm and CoDIAC interaction analysis tool, exemplify her commitment to translational research. Current efforts aim to enhance understanding of tyrosine phosphorylation dynamics and their clinical applications in precision oncology and cardiac therapies.

Anna Kuderمشاهده پروفایل

پژوهشگر

• Sign Language Linguistics
• Corpus Methodology
• Multimodal Communication
• +۵ مورد دیگر

Anna Kuder is a sign language linguist at the University of Cologne 's Department of Linguistics (Faculty of Human Sciences). She completed her PhD in 2020 at the University of Warsaw with a focus on negation in Polish Sign Language. Her current research in the GeSi ("Gestures or Signs?") project investigates overlapping manual/nonmanual elements across Polish, German, and Russian sign languages. Specializes in corpus methodology and nonmanual features Expertise in multimodal communication , gesture studies , and comparative sign language analysis Her recent work reveals trends in multimodal feedback mechanisms across sign languages, with methodological innovations in data collection frameworks. Publications demonstrate deep engagement with corpus development, gesture-sign distinctions, and phonetic analysis of interactional elements. Connect via email: akuder@uni-koeln.de

Guadalupe González Diéguezمشاهده پروفایل

استاد

• Medieval History
• Jewish Philosophy
• Religious Studies
• +۳ مورد دیگر

Guadalupe González Diéguez is a Professor at the Institut d'études religieuses, Université de Montréal. She holds dual PhDs from New York University and Universidad Complutense de Madrid. Her research focuses on medieval Jewish, Islamic, and Christian cultural interactions, with specialties in Jewish philosophy, Kabbalah, and Spinoza studies. Education: PhD in Hebrew and Judaic Studies, New York University (2014) PhD in Hebraic and Aramaic Studies, Universidad Complutense de Madrid (2016) Research Interests: Dr. Diéguez examines the interplay between Jewish, Islamic, and Christian cultures in medieval Iberia, including the intersection of philosophy, science, and mysticism in Jewish thought. She studies Kabbalistic traditions in Castilian vernacular, Spinoza’s Hebrew grammar, and the transmission of medieval texts. Her work bridges religious studies, history, and digital humanities. Grants & Projects: Principal investigator: Presence of Hebrew in the Alba Bible (1430) (SSHRC, 2024-2027) Co-investigator: Confluence of Religious Cultures in Medieval Historiography (SSHRC, 2019-2024) Leading the Centre de recherche interuniversitaire sur les humanités numériques (CRIHN) Advising: Supervised Emma Cusson’s MA thesis ( Leviticus Rabbah 14:8 and Feminist Philology , 2024). Labs/Teams: Active in the Centre d'études médiévales and collaborates with digital humanities initiatives like the Alba Bible project .

Jerome Lewisمشاهده پروفایل

عضو هیئت علمی

• Social Anthropology
• Hunter-gatherer societies
• Egalitarian politics
• +۶ مورد دیگر

Jerome Lewis is Reader in Social Anthropology at University College London, where he also serves as Co-Director of the Extreme Citizen Science Research Group and the Centre for the Anthropology of Sustainability. A leading authority on Central African hunter-gatherers, he combines long-term ethnographic fieldwork with participatory technology design to advance indigenous rights and environmental justice. Education PhD Anthropology, London School of Economics and Political Science (2002) Research Interests Lewis’s scholarship focuses on egalitarian politics , ritual and play , and the evolution of language and music among hunter-gatherer societies. He is internationally recognised for developing Extreme Citizen Science —a methodological framework that empowers non-literate communities to collect and analyse data on their own terms through software such as Sapelli . His work on participatory mapping , free, prior and informed consent (FPIC) , and indigenous rights has directly influenced forestry governance across the Congo Basin. Scientific Awards & Honours 2017 & 2016: Outstanding Teacher Award, University of London Union 2015: William Fagg Lecturer, British Museum 2014: NT100 List, Nominet Trust 2010: Cuthbert Peek Award, Royal Geographical Society 2008: Dubai International Award for Best Practice 2007: Technology Museum Laureate 2006: Environmental Innovation Award, Timber Trade Journal 2005: E-tutor of the Year commendation, Times Higher Education Supplement Grants & Supervision Lewis has secured over €5 million in competitive funding, including Horizon 2020, Leverhulme Trust, and ESRC awards. He currently supervises nine doctoral researchers working on topics from water justice in Mexico to architectural decolonisation in Rwanda. Past supervisees have investigated Mbendjele cultural transmission, Malagasy agricultural practices, and gender dynamics among Idu-Mishmi communities. Research Groups & Labs He co-leads the Extreme Citizen Science Research Group within UCL’s Chorley Institute, and is affiliated with the Human Ecology Research Group and the Sustainability, Environment and the Culture of Materials Research Group . Through the Ethnographic Insights Lab he provides consultancy services to NGOs, governments and industry on community engagement and sustainable resource management.

Pedro Felzenszwalbمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۲ مورد دیگر

Pedro Felzenszwalb is a Professor of Engineering and Computer Science at Brown University , with a research focus spanning computer vision, artificial intelligence, machine learning, and algorithms. Born in Rio de Janeiro, Brazil, he earned his BS in Computer Science from Cornell University (1999) and MS/PhD in EECS from MIT (2001/2003). He previously held a faculty position at the University of Chicago (2004-2011) before joining Brown in 2011. Education : PhD in EECS, MIT (2003) MS in EECS, MIT (2001) BS in Computer Science, Cornell University (1999) His research integrates computer vision and AI, emphasizing scalable algorithms for object recognition, image segmentation, and probabilistic modeling. Key methodologies include deformable part models, belief propagation, and dynamic programming. His work has significant applications in early vision tasks, scene understanding, and geometric constraints in 3D object recognition. Pedro’s publications demonstrate a trajectory from foundational graph/image algorithms (2004-2006) to advanced machine learning approaches (2010-2023), with recurring themes in optimization, clustering, and multiscale modeling. Notable journals include Journal of the ACM , IEEE Transactions , and Communications of the ACM . Scientific Awards : ACM Grace Murray Hopper Award IEEE Technical Achievement Award PASCAL Visual Object Challenge Lifetime Achievement Prize Longuet-Higgins Prize NSF CAREER Award He has received NSF funding for projects including Graph Cut Algorithms (2012-2015) and Object Recognition with Hierarchical Models (2008-2013). At Brown, he teaches graduate courses in machine learning, linear systems, and pattern recognition.

• Learning Analytics
• Artificial Intelligence in Education
• Educational Technology
• +۲ مورد دیگر

Pedro Manuel Moreno Marcos serves as an Associate Professor in the Department of Telematics Engineering at Charles III University of Madrid, where he maintains an active research profile in educational technology. His academic work bridges telecommunications engineering with data-driven educational innovation, focusing on the practical implementation of analytics in real-world learning environments across Spanish and European higher education institutions. His research centers on learning analytics and artificial intelligence applications in education, with particular expertise in student behavior modeling, dropout prediction, and AI-enhanced learning environments. Key contributions include developing predictive models using multi-source data, creating tools like Statoodle for cheating prevention in LMS platforms, and pioneering human-centered generative AI applications through projects like GENIE Learn. His methodological approach combines machine learning algorithm evaluation with institutional ethnography to address adoption challenges in learning analytics. Analysis of his 15 most recent publications reveals an accelerating focus on generative AI's educational potential since 2023, with increasing attention to ethical implementation frameworks and micro-credentialing systems. His work consistently addresses practical barriers in learning analytics adoption while maintaining strong connections to Spanish higher education contexts through projects like PALABRIA-CM-UC3M. No scientific awards were documented in the provided materials. While specific student supervision details aren't disclosed, his research methodology frequently involves multi-institutional collaborations across European higher education settings. Current projects indicate active grant funding for initiatives including SHEILA (Support Higher Education to Integrate Learning Analytics) and PALABRIA-CM-UC3M, though specific grant amounts and durations aren't specified in the source text. Dr. Moreno Marcos leads research within the university's learning analytics ecosystem, contributing to frameworks like SHEILA that inform institutional policy. His work with telepresence classrooms and IoT-enabled educational scenarios demonstrates engagement with emerging technology infrastructure, while his focus on multi-source data integration suggests leadership in developing comprehensive analytics platforms for complex educational environments.

Brighid Loweمشاهده پروفایل

استاد

• Contemporary Art
• Sculpture
• Film Studies
• +۴ مورد دیگر

Brighid Lowe is a Professor at the Slade School of Fine Art, University College London, where she teaches Fine Art across undergraduate programs and has worked in both full-time and part-time capacities. She has taught in both Sculpture and Media areas and has supervised graduate students including one doctoral researcher to completion. Previously, she served as Head of Undergraduate Sculpture, Co-Director of Undergraduate Studies, and Undergraduate Admissions Tutor at the Slade. Her artistic practice spans multiple media including text, sculpture, collage, drawing, and film. Her research centers on archival practices, using historical archives as primary visual resources and applying cinematic logic to material culture. She co-directs the Slade Film Department research project (founded 2011), which examines film's recognition as an art-form within British cultural history. Her recent film 'Together with Lorenza Mazzetti' (2023) is distributed by the British Film Institute. Lowe's solo exhibitions include 'Destiny Bomb' (Coleman Projects, London, 2018) and Jerwood Artists' Platform (London, 2004). Her group exhibitions span prestigious venues including Tate Britain's inaugural Triennial 'Intelligence' (2000), Baltic 39 (Newcastle, 2012), and Kunstmuseum Olten (Switzerland, 2015). Her work often explores themes of loss, betrayal, and the relationship between virtual and physical spaces through innovative material interventions. Paul Hamlyn Award for Artists (1998) Second Prize in the Jerwood Drawing Prize (2007) Lowe has supervised doctoral researchers and led significant collaborative projects including 'Parts and Labour' which examines material conditions of art production and authorship hierarchies. Her installations frequently incorporate self-help books, found objects, and archival materials to create complex narratives about contemporary British society. She maintains an active writing practice with contributions to artist fiction anthologies and critical art publications.

Christophe Baticleمشاهده پروفایل

مدرس

• Environmental Anthropology
• Indigenous Studies
• Hunter-Gatherer Societies
• +۶ مورد دیگر

Christophe Baticle is a socio-anthropologist and Lecturer at Aix-Marseille University, where he is affiliated with the Population, Environment, Society laboratory (LPED, UMR 151 AMU-IRD). He also maintains associations with the Habiter le Monde research team at the University of Picardie Jules Verne. With academic training spanning sociology, anthropology, political science, demography, and economics, Baticle brings an interdisciplinary perspective to his research on environmental practices, indigenous communities, and spatial relationships. His research focuses on three interconnected domains: (1) Central African hunter-gatherer societies, particularly examining hunting practices as political expressions of autochthony and resistance strategies; (2) Palestinian refugee experiences, analyzing themes of exile, confinement, and cultural resistance; and (3) French rural practices, including traditional hunting methods like 'tendelles' in the Grands Causses region. Baticle's work consistently bridges local practices with global processes, revealing how environmental policies, legal frameworks, and cultural traditions intersect in complex ways. Recent publications demonstrate Baticle's engagement with pressing contemporary issues including ecological transition, indigenous resilience to environmental inequalities, and the politics of representation. His methodological approach combines ethnographic fieldwork with spatial analysis, producing nuanced understandings of how communities navigate changing environmental and political landscapes. His research contributes significantly to theoretical developments in environmental anthropology, political ecology, and the anthropology of space. Baticle's teaching activities span multiple institutions and programs, including Masters degrees in Geography and Socio-Anthropology, 'Culture, Heritage and Digital Innovations,' 'Dynamics and Geography of Territories,' 'Practice of Investigation and Social Theory,' and 'Social Intervention and Development.' This diverse teaching portfolio reflects his interdisciplinary approach and commitment to connecting theoretical frameworks with practical applications in social research.

Araz Jabbariمشاهده پروفایل

دانشیار

• Information Systems
• Conceptual Modeling
• Digital Transformation
• +۴ مورد دیگر

Dr. Araz Jabbari serves as an Associate Professor in the Department of Organizational Information Systems at Laval University's Faculty of Business Administration. His research examines how individuals and organizations engage with digital technologies and navigate digital transformation, with particular focus on conceptual modeling practices in increasingly complex digital environments. Dr. Jabbari maintains an active research agenda that bridges theoretical frameworks with practical applications, contributing significantly to information systems scholarship through publications in top-tier journals and conferences. Dr. Jabbari's academic foundation includes: Ph.D. in Information Systems from Queensland University of Technology MBA in IT Management from Multimedia University B.Sc. in Mathematics from University of Urmia Dr. Jabbari's research centers on conceptual modeling in the digital era, investigating how traditional modeling approaches must evolve to address contemporary challenges. His work explores how individuals understand and use multiple conceptual modeling scripts, ontological overlap in combined models, and the transition from representation to mediation in digital environments. Recent research increasingly addresses AI-specific challenges, including information quality frameworks for AI systems and the faithfulness of machine learning training data. His scholarship examines digital transformation from both technical and organizational perspectives, with growing emphasis on how data, intelligence, and transparency reshape coordination practices. Dr. Jabbari's publication trajectory demonstrates progression from foundational conceptual modeling research to cutting-edge investigations at the intersection of information systems, organizational theory, and artificial intelligence. His work shows increasing engagement with interdisciplinary topics, particularly how digital systems fundamentally reshape organizational practice. The research evolution reflects the field's broader shift from viewing information systems as representations to understanding their mediating role in digital ecosystems. Dr. Jabbari's scholarly impact is evident through: Publications in premier journals including MIS Quarterly, Journal of the Association for Information Systems, and Decision Support Systems Presentations at leading conferences such as HICSS and AMCIS Development of influential frameworks like 'Modeling 4.0' that reshape conceptual modeling discourse 297 citations across 29 publications indicating research influence As an educator, Dr. Jabbari teaches system analysis and design, business analysis, and digitization courses that likely integrate his research expertise. His student supervision approach probably emphasizes both theoretical rigor and practical application, preparing students to address real-world digital transformation challenges. His collaborative research style, evident in numerous international co-authorships, suggests opportunities for students to engage with a global research network. The Department of Organizational Information Systems at Laval University provides a rich academic environment where Dr. Jabbari contributes to shaping how future information systems professionals understand and design digital solutions for complex organizational challenges.

Xiaobai Liuمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Computational Statistics
• +۶ مورد دیگر

Xiaobai Liu is an Assistant Professor in the Department of Computer Science at San Diego State University, College of Sciences. His research bridges Computer Vision, Machine Learning, and Computational Statistics, with applications in Clinic Diagnosis, Sports, Transportation, Surveillance, and Video Games. Education: PhD in Computer Science from HuaZhong University of Science and Technology (2012) His research focuses on image parsing, video analysis, and deep learning techniques for 3D reconstruction, object tracking, and marine mammal detection. Recent publications highlight advancements in LiDAR generation, scene text recognition, and automated spectrogram processing. Notable grants include NSF-funded projects on autonomous vehicle safety simulations, marine mammal classification, and AI-driven recycling systems. He has advised over 30 students in real estate analytics, robotics, and computer vision projects. Scientific Awards: 2018 San Diego State University President’s Excellence Award