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Professor Qing Cao is Professor, Director of Studies, and Director of the Centre for Comparative Modernities at Durham University's School of Modern Languages and Cultures. His research examines Chinese media, communication, and modern intellectual history through three interconnected strands: the role of media in China's modernization, the impact of media language on social perceptions, and mutual China-West representations shaping identity politics. His research interests encompass China's modern intellectual history, Chinese politics, mass media dynamics, Western reporting on China, Chinese linguistics, and translation studies. Current projects include a book on Chinese state media's construction of alternative modernity and editorial work for the Routledge Research Encyclopaedia on Chinese Studies. Previously funded by AHRC and British Academy, his work explores the discursive transformation of Chinese society. Professor Cao's publications demonstrate sustained focus on discursive constructions of modernity and identity across historical periods, with recent work examining late Qing intellectual transformations through linguistic analysis. His supervision includes PhD students researching Western media representations of China, diplomatic language, and gender discourses in Chinese newspapers.

• Chinese media
• Modern intellectual history
• Chinese politics
• +4 more

David J. Field is a Professor of Psychology at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on theories of sensory coding, visual processing, and the relationship between natural environmental structure and sensory system representations. He is an active member of the Graduate Field of Psychological Sciences and Human Development. His work spans computational neuroscience and visual perception, with a particular emphasis on efficient coding principles and neural responses to natural scenes. Key research interests include the spatiotemporal dynamics of visual processing, sparse coding models, and the application of advanced imaging techniques like dynamic electrode-to-image (DETI) mapping. His studies often bridge neuroscience with computer science, exploring how neural systems encode visual information efficiently. Recent publications emphasize the role of behavioral goals in shaping neural coding and the statistical properties of natural scenes. Dr. Field teaches courses such as PSYCH 3420 (Human Perception: Application to Computer Graphics, Art, and Visual Display) and contributes to graduate training programs in psychological sciences. His work has been published in top journals, reflecting a strong focus on interdisciplinary approaches to understanding perception and neural representation.

• Cognition
• Neuroscience
• Visual Perception
• +3 more

Stefano Gogioso is a Departmental Lecturer at the University of Oxford , specializing in quantum theory and quantum software. He holds a DPhil in Computer Science from Oxford (2013–2017) and advanced degrees from Cambridge (MASt, BA) and the University of Genova (MSc, BSc). As a Fellow at Kellogg College and co-founder of Hashberg Ltd , he develops quantum programming tools and focuses on quantum causal structures, quantum field theory, and natural language processing applications. His research bridges foundational quantum theory with practical applications, including near-term quantum computing and educational outreach through visual methods like Quantum in Pictures . Research Interests: Quantum foundations, quantum software, categorical quantum mechanics, quantum field theory, and quantum causality. His work emphasizes pictorial formalisms and compositional methods, with contributions to indefinite causality, quantum cellular automata, and quantum natural language processing (QNLP). Key Contributions: Published over 25 papers, including works on causal polytopes, categorical Feynman diagrams, and QNLP pipelines. Co-developed Hashberg 's quantum programming tools and serves as a mentor for AI initiatives at CDL-Oxford. His thesis introduced dynamics in categorical quantum mechanics, addressing symmetry and quantum clocks. Teaching: Teaches quantum computing courses for MSc/MFoCS students, professionals, and continued education. Courses include Quantum Software , Quantum Computing for Software Engineers , and bespoke corporate training. Labs/Teams: Part of the Oxford Quantum Group and involved in collaborative projects with industry and academia. Advising: Supervised students like Nicola Pinzani (causal orders) and Maria Stasinou (quantum field theory). Grants/Awards: Not explicitly listed, but recognized for contributions to quantum foundations and education.

• Quantum Computing
• Quantum Theory
• Quantum Software
• +3 more

Kristian J. Hammond is the Bill and Cathy Osborn Professor of Computer Science at Northwestern University's McCormick School of Engineering. He directs both the Master of Science in Artificial Intelligence Program and the Center for Advancing Safety of Machine Intelligence (CASMI). His research focuses on artificial intelligence, natural language generation, narrative generation, conversational interfaces, and ethical AI applications across domains like law, education, and journalism. Hammond co-founded Narrative Science, leveraging AI for automated journalism from data. Education: PhD, MS, and BA in Philosophy (all from Yale University). His work spans technical innovation and societal impact, with notable contributions to AI transparency, bias mitigation, and machine learning ethics. Hammond has authored influential articles on AI governance, conversational systems, and the future of work in an automated economy. His leadership roles emphasize interdisciplinary collaboration between computer science, business, and humanities. Research highlights include developing AI systems that enhance human capabilities, exploring ethical frameworks for machine intelligence, and advancing AI safety through initiatives like CASMI. He frequently engages in public discourse via TEDx talks and commentaries on AI's societal implications, emphasizing the need for human-centered technology design.

• Artificial Intelligence
• Natural Language Generation
• Narrative Generation
• +7 more

Dr. Jingyun Wang is an Assistant Professor in the Department of Computer Science at Durham University. Previously, she held an Assistant Professor position at Kyushu University, Japan. Her primary affiliations include the Centre for Neurodiversity & Development and the Artificial Intelligence and Human Systems Group (AIHS), as well as the Pedagogical Innovation in Computer Science Group (PICS). She is a Fellow of the Higher Education Academy and has led or contributed to research projects funded by JSPS, JST, NICT, Innovate UK, and industry partners. Her research focuses on AI-driven educational technologies, including AI-based feedback systems, computational thinking education, game-based learning, and ontology techniques. She actively contributes to editorial boards (e.g., Computers & Education: Artificial Intelligence ) and serves as a conference chair for AIED, ICCE, and LTLE. Current research includes adaptive learning systems for mathematics education, serious games for cybersecurity training, and visualization tools for e-learning. Her scientific contributions span over 50 peer-reviewed publications, with recent work emphasizing learning analytics, multimodal systems, and digital health interventions. She advises multiple PhD students and mentors in professional recognition pathways. Key projects include developing the BETTER speech training system, the MEMORABLE cybersecurity game framework, and ontology-based language learning platforms.

• AI-based feedback
• Computational thinking education
• Game-based learning
• +7 more

Sophie McCall is a Professor in the Department of English at Simon Fraser University (SFU), specializing in Indigenous literatures. Her research focuses on decolonization, resurgence, and the ethics of collaborative authorship, particularly examining how Indigenous writers challenge settler colonialism through storytelling. She holds a BA from Queen’s University, an MA from UBC, and a PhD from York University. McCall is the author of First Person Plural: Aboriginal Storytelling and the Ethics of Collaborative Authorship (2011), which received critical acclaim, and editor of foundational texts like Devil in Deerskins: My Life with Grey Owl (2014). She co-edits Read, Listen, Tell: Indigenous Stories from Turtle Island (2017) and directs SFU’s Masters of Arts for Teachers of English (MATE) program. Her work bridges literary criticism and activism, addressing residential school narratives, Indigenous-Black solidarity, and the politics of reconciliation. She co-chairs the Indigenous Voices Awards and leads SSHRC-funded projects exploring Indigenous-led literary collaborations. Key themes in her scholarship include textualizing orality, ethical representation, and multidisciplinary Indigenous arts. Awards: Gabrielle Roy Prize finalist (2011), Canada Prize finalist (2011) Projects: SSHRC-funded collaboration with NunatuKavut scholar Kristina Bidwell Roles: Director of MATE, Co-chair Indigenous Voices Awards McCall’s publications span scholarly articles, edited collections, and anthologies, emphasizing Indigenous agency in storytelling. Her teaching and research prioritize decolonizing methodologies and amplifying Indigenous voices across disciplines.

• Indigenous literatures
• collaboration
• relationality
• +7 more

Krista Lynes is a Professor of Communication Studies at Concordia University, holding the Canada Research Chair in Feminist Media Studies and directing the Feminist Media Studio. Their research focuses on intersectional frameworks addressing feminist media studies, queer theory, migration studies, critical race studies, environmental humanities, and infrastructure studies. Lynes employs research-creation methodologies to interrogate systems of power and mobility. Thesis supervision: Media Studies (MA), Communication (PhD), Humanities (PhD) Labs/Teams: Director of the Feminist Media Studio, a space for interdisciplinary art and activism Recent work examines vital energy in greenhouse infrastructures, queer migrant activisms, and decolonizing corporeal representations in art. Their scholarship bridges media theory with global social justice concerns, emphasizing transnational circuits and planetary aesthetics.

• Feminist Media Studies
• Queer Theory
• Migration Studies
• +3 more

Jack Snoeyink is a Professor at the University of North Carolina at Chapel Hill, holding joint appointments in the Department of Computer Science (College of Arts & Sciences) and the School of Data Science and Society. His research focuses on computational geometry, with applications in molecular biology, geographic information systems (GIS), and geometric modeling. His work in computational geometry explores algorithmic design and analysis for problems in solid modeling, computer graphics, and robotics. Key application areas include terrain modeling in GIS, molecular structure validation in biochemistry, and computational topology. He has contributed to output-sensitive algorithms for convex hulls and Voronoi diagrams, and geometric search problems. Articles highlight his expertise in computational geometry, with trends spanning 1999-2000. Topics include contour tree algorithms (SODA'00), watershed extraction (ASPRS'99), and skeleton generation (Crust.pdf). His work bridges theoretical advancements with practical implementations in GIS and structural biology. Jack Snoeyink has collaborated with researchers like Marc van Kreveld, Christopher Gold, and Bettina Speckmann on projects related to Delaunay triangulation, regression depth computation, and geometric assembly problems. He previously served as a program director at the National Science Foundation's CISE division (2015-2018) and co-founded the TRIPODS program for data science foundations.

• Computational geometry
• Algorithms for geographical information systems (GIS)
• Structural biology
• +3 more

LEE Mong Li is a Professor of Computer Science at the National University of Singapore (NUS) and serves as Director of the NUS Centre for Trusted Internet and Community. She holds a Ph.D., M.Sc., and B.Sc. (First Class Honours) in Computer Science from NUS, where she was awarded the IEEE Singapore Information Technology Gold Medal as the top Computer Science student in 1989. Her academic career includes a visiting fellowship at the University of Wisconsin-Madison (1999) and consultancy with QUIQ USA (2000). Her research spans Data Management, Spatio-temporal Databases, Biomedical Informatics, and Retinal Image Analysis . She has pioneered work in data cleaning, data fusion, and analysis of semistructured data, with applications in social media analytics and healthcare. Her recent publications demonstrate strong interdisciplinary focus, particularly in AI-driven medical diagnostics including diabetic retinopathy screening and chronic kidney disease detection from retinal images. She co-authored foundational books on 'Designing Semi-structured Database' and 'Temporal and Spatio-Temporal Data Mining'. Her 150+ publications in major database conferences and journals reflect leadership in both theoretical and applied research. Recent work shows significant emphasis on Medical AI applications (retinal analysis, kidney disease prediction) Temporal fact verification systems Misinformation detection in multimodal environments Privacy challenges in large language models Key honors include: Singapore's President Technology Award (2014) for co-inventing an AI system screening eye conditions IEEE Singapore Information Technology Gold Medal (1989) She actively contributes to government-funded multidisciplinary projects building practical deployable systems. Her leadership extends to program committees of prestigious database conferences and directing the NUS Centre for Trusted Internet and Community. She teaches BT5110 Data Management and Warehousing and has co-developed an AI system for diabetic retinopathy screening deployed in Singapore's national teleophthalmology program.

• Data Management
• Data Cleaning
• Data Fusion
• +5 more

Pietro Liò is Full Professor in the Department of Computer Science and Technology at the University of Cambridge, where he leads research in Artificial Intelligence and Computational Biology as part of the AI group and the Cambridge Centre for AI in Medicine. He holds additional affiliations as Fellow and Council member of Clare Hall College, member of Ellis (European Lab for Learning & Intelligent Systems), and member of Academia Europaea. Professor Liò earned dual PhDs in Complex Systems and Non Linear Dynamics from the University of Florence and in Theoretical Genetics from the University of Pavia, Italy. His educational background bridges theoretical computer science with biological sciences, forming the foundation for his interdisciplinary research approach. His research focuses on developing Artificial Intelligence and Computational Biology models to understand disease complexity and advance personalized medicine. Current work emphasizes Graph Neural Network modeling for integrating multi-scale, multi-omics, and multi-physics data; combining deep learning with mechanistic approaches; explainability in medical AI; and developing AI-based medical digital twins and personal decision support systems. His work spans from fundamental algorithm development to clinical applications, with particular emphasis on translating computational advances into medical solutions. Analysis of his recent publications reveals strong activity in geometric deep learning , explainable AI for healthcare , and multi-omics integration , with increasing focus on clinically applicable tools that maintain both predictive power and interpretability. Member of Academia Europaea Listed among Top Italian Scientists by VIA-Academy Professor Liò has mentored over 40 PhD students and postdoctoral researchers, including notable names such as Petar Velickovic, David Buterez, and Chaitanya Joshi. His research is supported through collaborations with the Cambridge Centre for AI in Medicine and various international partnerships. He serves on departmental committees including Student Complaints and Postdoc Mentoring, and has completed equality and diversity training essentials. He leads research within the Artificial Intelligence group at Cambridge, focusing on creating computational frameworks that bridge biological complexity with clinical applications through advanced machine learning techniques.

• Artificial Intelligence
• Computational Biology
• Graph Neural Networks
• +5 more

Serguei A. Oushakine is a Professor of Anthropology and Slavic Languages and Literatures at Princeton University, and Program Director of Russian, East European and Eurasian Studies (REEES) at the Princeton Institute for International and Regional Studies. He holds a PhD in Anthropology from Columbia University (2005). His research focuses on transitional cultural processes in post-Soviet societies, combining anthropological methods with postcolonial, materialist, and visual studies frameworks. Education: PhD in Anthropology (Columbia University, 2005) with distinction. Notable fieldwork locations include Siberia, Belarus, and Kyrgyzstan. Research Interests: Oushakine explores the intersection of emotion, memory, and power in transitional societies. His work analyzes how new national cultures emerged post-Soviet collapse, and investigates postcolonial legacies of communism. Current projects include: Early Soviet media’s role in shaping spectatorship (1920s-1930s) Comparative postcolonial frameworks for postcommunist studies Awards: Recipient of prestigious fellowships including Guggenheim (201?), ACLS Burkhardt Residential Fellowship, and Institute for Advanced Study membership (Princeton). Advising & Grants: While specific advising/grant details aren’t listed, his program director role suggests leadership in shaping academic initiatives. His publications indicate engagement with interdisciplinary collaborations. Labs/Teams: Active in Princeton’s REEES program, fostering collaboration between social sciences and humanities scholars studying Eurasia.

• Anthropology of emotions
• Transitional states
• Nationalism
• +7 more

Nicole Smith is a Lecturer in Museum Education at the University of Glasgow's School of Education, specializing in museum education and the intersection of digital humanities with heritage studies. She currently serves as Acting Depute Lead for the CLIP RTG and co-leads the Clippings events programme. Her research focuses on participatory methodologies in community archaeology, co-design approaches in museum partnerships, and the impact of creative practices in heritage interpretation. She has led projects such as the Glencoe Project and the Dear Green Bothy evaluation initiative, emphasizing co-creative practices and digital technologies. She holds roles in the AHRC Peer Review College and UKRI Early Career Researcher Network. Nicole has extensive experience in field archaeology, museum collaborations, and digital heritage projects, including VR/AR applications for cultural exhibits. Her work often integrates experimental methods to bridge academic research and public engagement. Her research interests include community-driven heritage recording, the Anthropocene's influence on archaeological narratives, and the evaluation of arts-based interventions. Nicole has collaborated with organizations like the National Trust, York Museums Trust, and Indigenous communities in digitization projects. She is actively involved in supervising PhD students exploring topics like digital archives, museum education, and participatory design. Nicole’s recent projects include the AHRC-funded DiNAR initiative, which explored immersive storytelling in museums, and the Discovering England’s Burial Spaces project, funded by Historic England. She has published widely on digital heritage, co-edited key handbooks, and contributed to exhibitions such as the British Museum’s Viking Legacy exhibition. Her work emphasizes ethical and participatory approaches to cultural heritage, ensuring marginalized voices are included in co-design processes.

• Museum Education
• Digital Humanities
• Archaeology
• +6 more

Angel Hsing-Chi Hwang is an Assistant Professor of Communication at the University of Southern California (USC) Annenberg School for Communication and Journalism and a core faculty member at the USC Center for AI in Society . Her research focuses on the societal impact of artificial intelligence (AI) on work practices, with a particular emphasis on human-AI interaction (HAII), digital mental health, and the future of work. She holds a PhD in Communication from Cornell University with a concentration in Human-Computer Interaction and completed postdoctoral training at the Cornell Bowers College of Computing and Information Science . Research Interests: Human-AI collaboration and ethical design Sociotechnical consequences of AI deployment at scale AI in healthcare systems and mental health services Creative processes and AI empowerment in professional domains Methods for scalable AI impact assessment Online labor markets and AI-driven work transformations Recent Work: Her publications explore topics such as the integration of AI in mental healthcare ecosystems, gender dynamics in AI-mediated teams, and the ethical implications of generative AI in creative industries. She actively engages with industry through collaborations with Microsoft Research, Google Research, and other tech institutions. Affiliations & Activities: Organizing workshops on AI disclosure, ownership, and accountability (CHIWORK 2025) Contributing to conferences like ACM CHI and ICWSM Collaborating with interdisciplinary teams on AI ethics and policy initiatives

• Human-AI Interaction
• Sociotechnical Impact of AI
• Digital Mental Health
• +4 more

John L. Jackson, Jr. is the Richard Perry University Professor and Provost of the University of Pennsylvania. He holds appointments in the Department of Anthropology, Annenberg School for Communication, and Africana Studies. His research bridges race theory, visual anthropology, and media studies, focusing on topics like globalization, critical race theory, and urban studies. Jackson earned his Ph.D. in Anthropology from Columbia University (2000) and B.A. in Communication from Howard University (1993). He has produced award-winning documentaries including Bad Friday and co-founded CAMRA, an initiative advancing visual ethnography. His work includes influential books such as Thin Description (2013) and Racial Paranoia (2008), exploring racial identity and media representation. Jackson has served as Dean of the Annenberg School and School of Social Policy & Practice, emphasizing interdisciplinary scholarship and diversity initiatives. His teaching awards and leadership underscore his commitment to innovative academic practices. Key achievements include editing Oxford Bibliographies in Anthropology and producing films screened globally. His research spans media ethnography, religious studies, and diaspora communities, with grants from NSF and Ford Foundation. Jackson’s labs CAMRA and Center for Experimental Ethnography pioneer multimodal research methods.

• Ethnographic Film and Visual Studies
• Critical Race Theory
• Globalization, Transnationalism, and Diaspora
• +5 more

Dr. Miriam Sturdee is a Lecturer in Human-Computer Interaction (HCI) at the School of Computer Science, University of St Andrews. Her work focuses on advancing HCI through innovative methods in design, education, and interdisciplinary collaboration. She actively contributes to research areas such as visual data analysis, blended experiences, and healthcare technology, with notable expertise in sketching techniques and their applications in user-centered design. Dr. Sturdee supervises PhD candidates Jess McGowan and Junyu Zhang, guiding their research in HCI-related domains. Her research interests span HCI pedagogy, cybersecurity visualization, and sustainable design, emphasizing inclusivity and accessibility. Collaborations include workshops on digital-physical integration and participatory design for healthcare communication. She has co-authored a practical guide on sketching theory and actively participates in academic conferences, contributing to discussions on knowledge production and materiality in HCI. Dr. Sturdee’s work aligns with UN Sustainable Development Goals, particularly in advancing healthcare equity and sustainable practices. She engages in outreach activities, such as the Doors Open @ Computer Science event, fostering public engagement with technology. Her publications reflect a commitment to bridging artistic expression with computational methods, exploring topics like parasocial interactions in games and remote sketching in distributed teams.

• Human-Computer Interaction
• Digital Design
• User Experience (UX) Design
• +6 more