جستجوی استاد راهنمای دانشگاهی

Elaine Francisمشاهده پروفایل

استاد

• Syntax
• Psycholinguistics
• Relative Clauses
• +۶ مورد دیگر

Elaine Francis is a Professor of English and Linguistics at Purdue University's College of Liberal Arts, where she serves as Associate Head of the Department of English and directs the Experimental Linguistics Lab. She holds additional affiliations as an Affiliate Faculty Member in the Department of Linguistics and a Courtesy Faculty Member in the Department of Speech, Language, and Hearing Sciences. Ph.D. in Linguistics, University of Chicago (1999) B.A. in Linguistics, College of William and Mary (1993) MA in Linguistics, University of Chicago (1995) Former Assistant Professor at the University of Hong Kong (1999-2002) Professor Francis's research focuses on syntax and its interfaces with semantics, discourse information structure, and language processing in production and comprehension. She employs experimental methods to investigate syntactic, semantic, discourse-pragmatic, and cognitive factors underlying complex sentence structures. Her primary research areas include word order alternations, filler-gap dependencies, resumptive pronouns, and grammatical acceptability. She examines how various factors contribute to grammatical alternations in language use and explores how processing pressures in production and comprehension contribute to grammatical conventions. Her recent publication record shows consistent output across multiple linguistic subfields, with a strong emphasis on experimental syntax and psycholinguistics. Her 2022 book, Gradient Acceptability and Linguistic Theory , represents a significant contribution to understanding acceptability judgment tasks in relation to syntactic theory. Her work spans theoretical syntax, experimental linguistics, second language acquisition, and cross-linguistic comparison, often bridging the gap between theoretical frameworks and empirical evidence. Regularly teaches short courses at Linguistic Society of America Linguistic Institutes Member of Linguistic Society of America Ethics Committee Editorial board member of Glossa Psycholinguistics Co-editor of Polymorphous Linguistics: Jim McCawley's Legacy (2005) Co-editor of Mismatch: Form-Function Incongruity and the Architecture of Grammar (2003) Professor Francis actively supervises graduate students in linguistics, though she has indicated she will be unable to take on new graduate students for the 2025-2026 academic year. She has received research support for her experimental work, particularly for investigating syntactic phenomena through controlled experiments and corpus analysis. Her collaborative work extends across multiple institutions and disciplines, including collaborations with researchers in computational linguistics, cognitive science, and clinical linguistics. She directs the Experimental Linguistics Lab at Purdue University, which conducts research on syntactic processing using various experimental methodologies. The lab investigates how speakers produce and comprehend complex sentence structures, with particular attention to how grammatical knowledge interacts with processing constraints. Current projects include research on relative clauses, syntactic islands, and acceptability gradient phenomena across multiple languages.

Jackie Chit Kit Cheungمشاهده پروفایل

دانشیار

• Natural Language Processing
• Natural Language Generation
• Automatic Summarization
• +۱۲ مورد دیگر

Jackie Chit Kit Cheung is an Associate Professor in the School of Computer Science at McGill University, where he co-directs the Reasoning and Learning Lab. He holds the Canada CIFAR AI Chair and serves as an Associate Scientific Co-Director at the Mila Quebec AI Institute. He is also a consulting researcher at Microsoft Research Montreal. Academic Background: Ph.D. in Computer Science, University of Toronto (2010–2014) M.Sc. in Computer Science, University of Toronto (2008–2010) B.Sc. (Honours) in Computer Science, minors in Linguistics and German, University of British Columbia (2004–2008) Research Interests: Jackie Cheung's research lies at the intersection of natural language processing, machine learning, and cognitive science. He focuses on natural language generation , automatic summarization , commonsense and pragmatic reasoning , and the evaluation of NLP systems . His work aims to build language models that reflect real-world structure and reasoning, with applications in health, education, and language revitalization. He is particularly interested in how implicit meaning is processed in context, a core concern in linguistic pragmatics. Publication Trends: His recent publications (2024–2025) show a strong emphasis on evaluation methodologies (e.g., COSMIC, ECBD), hallucination and factuality in language models, coreference and reasoning , and long-context modeling . He frequently collaborates across institutions and integrates insights from linguistics and psychology into NLP system design and analysis. Scientific Awards: Best Paper Award, ACL 2018 Outstanding Paper Award, NAACL 2018 Student Research Workshop SAC Award, ACL 2024 (for COSMIC) Best Poster Award, CMDO AI-Health Symposium 2024 Advising and Grants: He advises a large and diverse group of graduate students, including PhD and Master’s candidates, often in co-supervision with other faculty. His group has received support from major AI and health research initiatives, including CIFAR and Mila. He has trained alumni who have gone on to faculty and industry research positions. He has served in leadership roles in top NLP conferences, including as Senior Area Chair, Workshop Chair, and Program Chair of Canadian AI 2018. Labs and Teams: He co-directs the Reasoning and Learning Lab at McGill and is deeply involved with Mila – Quebec AI Institute . He founded the NLP Reading Group at McGill, which brings together researchers from computer science, linguistics, and information studies to discuss theoretical and applied NLP topics.

Blair Hoxbyمشاهده پروفایل

استاد

• Early Modern Literature
• Tragedy and Tragic Theory
• Milton Studies
• +۷ مورد دیگر

Blair Hoxby is Professor of English at Stanford University's School of Humanities and Sciences, where he has taught since 2007. Previously, he served as Associate Professor of History and Literature at Harvard University (2005-2007) and Associate Professor of English at Yale University (2003-2005), where he began as Assistant Professor in 1998. His academic journey includes a Ph.D. in English from Yale University (1998), an M.Phil. in English Studies from the University of Oxford (1990), and an A.B. in English and American Literature and Language from Harvard University (1988). Hoxby's research focuses on literature and culture from 1500 to 1800, with particular emphasis on tragedy theory, Milton studies, and the intersection of literature and economics. His notable works include What Was Tragedy? Theory and the Early Modern Canon (2015) and Mammon's Music: Literature and Economics in the Age of Milton (2002). He argues that early modern tragedy differed significantly from contemporary understandings of the genre, with passions rather than deeds or character serving as the keys to early modern tragic performance. Hoxby's recent scholarly output reveals a consistent engagement with early modern theatrical practices, particularly tragedy and opera. His work demonstrates sophisticated interdisciplinary approaches, connecting literary analysis with historical context, economic theory, and performance studies. He has made significant contributions to understanding how commercial culture shaped literary production and how theatrical conventions evolved across national boundaries in Europe. Scientific Awards and Honors Internal Fellow, Stanford Humanities Center (2009-2010) Morse Fellowship, Juilliard School (2001-2002) Samuel and Ronnie Heyman Prize, Yale University (2001) John Addison Porter Prize, Yale University (1999) Rhodes Scholarship, University of Oxford (1988-1990) Hoxby has supervised numerous doctoral students and served in various administrative roles at Stanford, including Director of Undergraduate Studies (2011-2014) and Director of Graduate Admissions (2008-2011). His teaching portfolio includes courses on English poetry from the Renaissance to Romanticism, tragedy and tragic theory from Aristotle to the present, theater history, and performance theory. Currently, he teaches courses such as Court Theater from Shakespeare to Mozart and Introduction to English II: From Milton to the Romantics . Hoxby maintains active scholarly engagement through committee memberships, including the Executive Committee of the Milton Society of America (2009-2013) and service as a referee for major academic presses including Oxford University Press and the University of Pennsylvania Press.

Annette Schellenberg-Laglerمشاهده پروفایل

استاد

• Old Testament Studies
• Biblical Archaeology
• Wisdom Literature
• +۴ مورد دیگر

Annette Schellenberg-Lagler serves as Professor of Old Testament Studies at the University of Vienna's Faculty of Protestant Theology, where she concurrently holds leadership roles as Vice Dean, Director of Studies, and Deputy Head of the Institute for Old Testament Studies and Biblical Archaeology. Her academic career spans over two decades with significant contributions to biblical scholarship since joining Vienna in 2015 after positions at the University of Zurich and San Francisco Theological Seminary. Her educational foundation includes Protestant Theology studies at the University of Zurich (1991-1998), followed by doctoral completion in 2002 and habilitation in 2011 at the same institution. Key developmental phases include Swiss National Science Foundation research in Los Angeles (2003-2005) and tenure-track professorship in California (2007-2015). Schellenberg-Lagler's research centers on Prehistory (Genesis 1-11), Priestly literature, Wisdom literature, and the Song of Songs, with specialized focus on Old Testament Anthropology and theological controversies within ancient Near Eastern contexts. Her work consistently bridges textual analysis with anthropological and epistemological frameworks, particularly examining human cognition in wisdom texts and sensory dimensions in biblical poetry. Current projects include a Song of Songs commentary for Eerdmans' Illuminations series. Recent publications reveal evolving scholarly trajectories toward negative theology in Hebrew Bible studies and interdisciplinary epistemology, while maintaining deep engagement with Wisdom literature. Her editorial leadership as Editor-in-Chief of Vetus Testamentum since 2020 significantly shapes contemporary Old Testament scholarship. She actively mentors students through STEOP-Mentoring programs and doctoral seminars, building on early-career support from Swiss National Science Foundation and Zurich Young Talents scholarships. Her academic service extends to steering committees for the Society of Biblical Literature's 'Wisdom in Israelite Traditions' group and the Working Group on Old Testament Reception (AKRAT). As a core member of Vienna's Research Center 'Religion and Transformation in Contemporary Society' (RaT), she collaborates across multiple networks including the 'Epistemology in ancient Israel' consortium. Her institutional leadership drives curriculum development for Evangelical Theology programs while maintaining active participation in European scholarly societies like EABS and SBL.

Qianwen Wangمشاهده پروفایل

استادیار

• Interactive Visualization
• Interpretable Machine Learning
• Human-AI Collaboration
• +۵ مورد دیگر

Qianwen Wang is a tenure-track Assistant Professor in the Computer Science department at the University of Minnesota, Twin Cities. Her research combines interactive visualization with interpretable machine learning to foster intuitive, efficient, and reliable Human-AI collaboration. She actively seeks motivated students, research assistants, and interns to join her dynamic research team at UMN CS. Dr. Wang's research focuses on three primary themes: Human-AI Collaboration, where she designs tools to facilitate Human-AI interaction; Automatic & Intelligent Visualization, where she develops techniques to make visualizations accurately interpreted and easily used; and VIS+(X)AI in Biomed/Healthcare, where she studies how visualization and explainable AI can promote scientific discoveries in biomedicine and healthcare. Her work has made significant contributions to visualization, human-computer interaction, and bioinformatics, with particular applications in biomedical knowledge graphs and single-cell omics analysis. Her recent publications demonstrate a strong trend toward integrating visualization with large language models and graph neural networks for biomedical applications. She has published extensively at top venues including IEEE VIS, ACM CHI, and Nature Medicine, with a focus on making AI systems more interpretable and useful for domain experts, particularly in healthcare contexts. Her work often bridges theoretical advances in visualization with practical applications in genomics and healthcare. Two IEEE VIS Honorable Mention Awards (2022, 2024) Best Paper Award from IMLH@ICML 2021 Two Best Abstract Awards from BioVis ISMB (2021, 2022) HDSI Postdoctoral Research Fund Award Research covered by MIT News and Nature Technology Features Dr. Wang actively contributes to the academic community through service roles including General Chair for ISMB BioVis, VisNotes and Poster Chair for IEEE PacificVis, and Program Committee member for IEEE VIS, ACM CHI, and ACM IUI. Her research has been supported by various grants that enable her team to develop innovative visualization techniques and explore their practical applications in biomedical domains. Her research group maintains an active presence in the visualization and HCI communities, with members participating in major conferences and workshops. The lab focuses on creating tools that bridge the gap between complex AI models and human understanding, with particular emphasis on making these technologies accessible and useful for domain experts in biomedical research.

Andrew Headمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Programming
• Reading
• +۱۳ مورد دیگر

Andrew Head is an Assistant Professor at the University of Pennsylvania in the Computer and Information Science department. His research focuses on human-computer interaction, programming, and reading, particularly in developing technology for interactive reading and reasoning. He advises PhD students Alyssa Hwang, Hita Kambhamettu, Litao Yan, Jeffrey Tao, and Jessica Shi, and co-leads the Penn Human-Computer Interaction (Penn HCI) group with Danaé Metaxa. His work is published in top venues like ACM CHI, UIST, and ICSE. Research Interests: Andrew's work bridges interactive systems with programming environments, aiming to enhance how scientists and programmers interact with their tools. Key areas include AI-assisted code understanding, math notation accessibility, and medical note interpretation through interactivity. He employs user studies to identify needs and builds interactive systems to address them. Recent Article Trends: His publications emphasize systems-centric HCI approaches, integrating AI into code and document interfaces. Topics span code explanation (e.g., Ivie), property-based testing (e.g., Tyche), math notation augmentation (e.g., FreeForm), and medical informatics (e.g., Explainable Notes). Recent work also explores notebook environments (e.g., Bolt-on, Tyche) and literate programming (e.g., Colaroid). Scientific Awards: Distinguished Paper Award, ICSE 2024 Best Paper Awards at CHI (2024, 2023, 2022, 2019), UIST (2023, 2018), and others. Nominated for Best Paper at CHI 2023 and VL/HCC 2015. Advising & Grants: Andrew advises multiple PhD students and has secured significant grants, including a $1M NSF award for 'Property-based Testing for the People' (2024). His group collaborates with Penn’s MindCORE center and teams like PLClub and PennNLP. Labs & Teams: He co-leads the Penn HCI group, which works closely with other Penn research teams and labs. The group focuses on creating interactive tools that enhance scientific and programming workflows, supported by grants and cross-institutional partnerships.

Adriana Schulzمشاهده پروفایل

استادیار

• Computational Design
• Computer-Aided Design (CAD)
• Digital Fabrication
• +۴ مورد دیگر

Adriana Schulz is an Assistant Professor in the Department of Computer Science & Engineering at the University of Washington's College of Engineering. She leads a research group focused on computational design, computer-aided design (CAD), and digital fabrication. Her work bridges computer science with practical applications in manufacturing, robotics, and sustainable design. Dr. Schulz received her Ph.D. in Computer Science from MIT in 2018 under the supervision of Professor Wojciech Matusik. Prior to her doctoral studies, she earned a Master's degree in Mathematics from IMPA (Instituto Nacional de Matemática Pura e Aplicada) in Rio de Janeiro, where she worked with Professor Luiz Velho, and a Bachelor's degree in Electronics Engineering from UFRJ (Federal University of Rio de Janeiro). Her research interests center around computational tools that enhance design and manufacturing processes. She develops novel algorithms for CAD systems, computational fabrication techniques, and sustainable design approaches. Her work spans multiple domains including robotics, textiles, electronics, and architecture, with a strong emphasis on creating practical tools that designers and engineers can use in real-world applications. She explores how machine learning, particularly neurosymbolic approaches, can improve design workflows and enable new capabilities in computational design systems. Analysis of her recent publications reveals a strong trend toward more intelligent and user-centered design tools. Her research increasingly integrates machine learning with traditional CAD systems to create more intuitive interfaces, supports sustainable design practices with computational tools, and develops novel fabrication techniques that push the boundaries of what's possible with digital manufacturing. She has made significant contributions to zero-waste fashion design, immersion cooling for high-performance computing, and CAD program understanding through novel representation learning techniques. Innovators Under 35 - MIT Technology Review Bolsa Aluno Nota 10 from FAPERJ Engineer 20000 award Dr. Schulz actively mentors several PhD students and postdoctoral researchers, including Haisen Zhao, Ben Jones, Yuxuan Mei, and others, often in collaboration with colleagues across different departments. Her research has attracted significant media attention, with coverage in major outlets including MIT News, BBC, IEEE Spectrum, Wired, and TechCrunch. Her work on Interactive Robogami was noted as the most read article in the International Journal of Robotics Research in its publication year. She leads a vibrant research group at the University of Washington that focuses on computational design systems, with particular emphasis on creating tools that bridge the gap between digital design and physical fabrication. Her team develops novel algorithms for CAD systems, computational fabrication techniques, and sustainable design approaches that have practical applications across multiple industries.

Sebastian Riedelمشاهده پروفایل

استاد

• Natural Language Processing (NLP)
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Sebastian Riedel is a Professor at University College London (UCL) and a Researcher at DeepMind, leading the UCL NLP Lab. His work focuses on teaching machines to read, reason, and write, integrating Natural Language Processing (NLP) with Machine Learning. He holds an Allen Distinguished Investigator award and has held roles at FAIR, UMass Amherst, Tokyo University, and the University of Edinburgh. Education: PhD in Computer Science from the University of Edinburgh (advisor: Ewan Klein), postdoctoral research at UMass Amherst (advisor: Andrew McCallum), and research at Tokyo University (advisor: Tsujii Junichi). Research Interests: NLP, machine learning, information extraction, and multimodal models like Gemini. He develops tools such as UCLEED (BioNLP event extractor), frontlets (Scala map wrappers), and thebibbrag (BibTeX to HTML converter). Awards: Allen Distinguished Investigator. Software contributions include GitHub repositories for NLP, machine learning, and data tools. Contact: s.riedel@ucl.ac.uk | Office: 1st Floor, 90 High Holborn, London WC1V 6LJ | Office Hours: Mondays 11 AM–12 PM.

Martin Kernمشاهده پروفایل

استاد

• Ancient Chinese Literature
• Philology
• Early Chinese Poetry
• +۷ مورد دیگر

Martin Kern is the Joanna and Greg Zeluck ’84 P13 P18 Professor in Asian Studies at Princeton University. He specializes in ancient Chinese literature, philology, and textual studies, with a focus on poetry, ritual, and cultural memory. Kern co-edits T'oung Pao and directs the "International Center for the Study of Ancient Text Cultures" at Renmin University, Beijing. Education: Ph.D. in Sinology, Cologne University M.A. in Sinology, Cologne University His research spans early Chinese rhetoric, authorship debates, manuscript analysis, and the intersection of writing/orality. He has led Princeton's "Comparative Antiquity" initiative (2018–2022) and co-directs the Princeton-Venice Summer School in Classical Chinese. Recent publications include studies on the Classic of Poetry , Chuci , and Zuozhuan , emphasizing newly discovered manuscripts and their impact on understanding ancient Chinese textuality. His work often bridges philological rigor with comparative theoretical frameworks. Scientific Awards: Member of the American Philosophical Society President of the American Oriental Society (2023–2024) Kern's editorial roles include co-editing the monograph series Studies in the History of Chinese Texts and the Handbook of Oriental Studies: Section 4 China . He has held leadership positions in major academic initiatives on ancient China.

Donald R. Davis, Jr.مشاهده پروفایل

استاد

• Sanskrit
• Dharmaśāstra
• Law and Religion
• +۵ مورد دیگر

Donald R. Davis, Jr. is Professor and Chair of the Department of Asian Studies at the University of Texas at Austin's College of Liberal Arts. With a PhD from the same institution, he has established himself as a leading scholar in Hindu law and Dharmaśāstra studies. His work bridges religious studies, legal history, and South Asian studies, making significant contributions to our understanding of law and religion in medieval India. Davis earned his PhD from the University of Texas at Austin, where he has built his academic career. His scholarly journey has been deeply rooted in the study of Sanskrit legal traditions and their intersection with religious practice. Professor Davis's primary research concerns the interaction of law and religion in medieval India. He examines both historical evidence for law and legal practice through inscriptions and regional language documents, as well as the Dharmaśāstra tradition as a system of religious law and jurisprudence. His work situates Sanskrit normative texts within historical contexts while exploring their conceptual frameworks. He maintains the Resource Library for Dharmaśāstra Studies and has published extensively on Hindu law, including books such as The Spirit of Hindu Law (2010) and The Dharma of Business (2017). Davis's recent publications demonstrate a continued focus on the intersection of law, religion, and ethics in Hindu tradition. His work explores caste, conservatism, marital ethics, and the historical development of legal thought in India. He frequently draws comparative connections between Hindu legal traditions and other religious legal systems, contributing to broader conversations in legal anthropology and comparative religious law. Professor Davis actively supervises graduate students interested in Dharmaśāstra traditions and their relevance to law, religion, history, politics, and economics in India. He encourages students with broader interests in comparative religious law (Jewish law, Islamic law, Roman law, etc.) and works with those studying various aspects of Hinduism and classical religions in India, particularly in normative and "mainstream" areas such as Vedānta, Pūrva-Mīmāṃsā, Epics, and Purāṇas.

• Cognitive Psychology
• Social Cognition
• Neuroscience
• +۷ مورد دیگر

Professor Heather Ferguson is a distinguished cognitive psychologist at the University of Kent's School of Psychology, where she has built an impressive academic career since her appointment as Lecturer in 2009. Promoted to Professor in 2018, she leads groundbreaking research examining the cognitive basis of social communication across the lifespan. Her work bridges cognitive psychology, neuroscience, and social cognition, with particular expertise in perspective-taking, theory of mind, and the interface between cognitive processes and social interaction. Her research primarily investigates how we access and represent other people's perspectives during communication, using methodologies including eye-tracking, EEG, and reaction time measurements. Key questions driving her work include: How do people understand and predict events based on others' mental states? What happens when these conflict with our own knowledge? How do social abilities relate to cognitive skills like memory and inhibitory control? How does aging affect social cognition? Her work has significant implications for understanding autism spectrum disorder, social development, and cognitive aging. Professor Ferguson's recent publications reveal a strong focus on perspective-taking across the lifespan, social cognition in autism, the cognitive effects of fiction reading, and the neural mechanisms underlying empathy. Her research demonstrates consistent methodological rigor through pre-registered studies and meta-analyses, with particular attention to developmental trajectories from adolescence through older adulthood. Psychonomic Society Early Career Award (2019) Open Science Framework Pre-registration Challenge award (2018) Cognitive Neuroscience Society Postdoctoral Fellow Award (2018) University of Kent Prize for Research (2016) Kent Union Teaching Award for 'Best Teacher' (2012) Professor Ferguson actively supervises multiple PhD students and has secured substantial research funding, including a €1.5 million ERC Starting Grant and multiple Leverhulme Trust grants. Her work with the Cognitive basis of Social Communication and Ageing (COGSOCOAGE) research group has produced influential findings on social cognition across the lifespan. She serves as Associate Editor for the Journal of Experimental Psychology: Learning, Memory & Cognition and on the editorial board of Cognition, while also mentoring early-career researchers through the Eastern Arc Mentoring Scheme.

Erik Willcuttمشاهده پروفایل

استاد

• Behavioral Genetics
• Psychiatric Genetics
• ADHD Etiology
• +۳ مورد دیگر

Erik Willcutt is a Professor in the Department of Psychology and Neuroscience at the University of Colorado Boulder. His research focuses on the genetic and neurobehavioral underpinnings of ADHD, learning disabilities, and developmental psychopathologies. He holds positions at the Institute for Behavioral Genetics and the Center for Neuroscience. Education: PhD in Psychology from the University of Denver (1998). Research Interests: Etiology and assessment of ADHD, reading disabilities, and developmental psychopathologies. His work integrates behavioral genetics, neuroimaging, and longitudinal twin studies to understand cognitive and psychiatric disorders. Key topics include neuroanatomical correlates of ADHD, genetic influences on dyslexia, and comorbidity between learning disabilities and psychiatric conditions. Publications highlight advanced methods like genome-wide association studies (GWAS) and phenotype harmonization (e.g., Rosetta method). His work bridges molecular genetics with clinical psychology, emphasizing translational research. Lab/Affiliations: Active in the Institute for Behavioral Genetics and collaborates with interdisciplinary teams studying neurodevelopmental disorders. Office located at Muenzinger D451B.

Ying Xuمشاهده پروفایل

استادیار

• Early Education
• Evidence-Based Intervention
• Families and Community
• +۵ مورد دیگر

Ying Xu is an Assistant Professor at the Harvard Graduate School of Education (HGSE), specializing in the design of AI technologies to support children's language, literacy, STEM learning, and well-being. Her research emphasizes creating AI systems that act as interactive learning companions and language partners for children while fostering human-AI collaboration with educators and families. She holds a Ph.D. in Language, Literacy, and Technology from the University of California, Irvine, and previously served as an Assistant Professor at the University of Michigan from 2022 to 2024. Her work focuses on understanding how AI can complement human interactions, particularly through conversational agents integrated into media like books and educational TV programs. Collaborations include partnerships with PBS KIDS, GBH Education, and Sesame Workshop. Funded by organizations such as the National Science Foundation and Schmidt Futures, her research bridges developmental psychology, education, and human-computer interaction. Xu's studies highlight AI's potential for personalized learning while addressing ethical considerations like AI literacy and social impact. Key achievements include numerous best paper awards and recognition as an Early Career Interdisciplinary Scholar by SRCD. Her interdisciplinary approach involves designing technologies that reflect community values and linguistic/cultural diversity, ensuring equitable access to AI-driven educational tools. Xu advocates for balanced AI integration in children's lives, emphasizing the need for transparency about AI's limitations and the importance of maintaining human connections. She explores how AI can empower stakeholders (e.g., educators, parents) to co-create technologies tailored to their needs, ensuring AI serves as a complement—not replacement—for human interaction. Current projects investigate conversational AI's design principles, children's perceptions of AI, and strategies for fostering critical evaluation of AI-generated content. She also examines how AI affects social interactions and developmental processes, advocating for ethical guidelines to maximize benefits while mitigating risks.

Marcia Barnesمشاهده پروفایل

استاد

• Cognitive Processes in Learning
• Learning Disabilities
• Reading Comprehension
• +۷ مورد دیگر

Marcia Barnes is the Dunn Family Chair in Psychoeducational Assessment and a Professor of Special Education at Vanderbilt University's Peabody College, Department of Special Education. Her research focuses on understanding and addressing learning difficulties in reading comprehension and mathematics among children with neurodevelopmental disorders and those at risk for learning disabilities. Her research interests include: Cognitive and linguistic processes in reading and math disabilities Development of assessment tools for inferential comprehension Design and evaluation of interventions for early mathematics and reading comprehension Co-occurring reading and math disabilities Technology-assisted and combined cognitive-academic interventions Her work employs longitudinal studies, randomized controlled trials, and meta-analyses, and has been supported by federal funding from the Institute of Education Sciences (IES) and the National Institutes of Health (NIH). Her publications appear in top journals such as Scientific Studies of Reading , Journal of Educational Psychology , and Neuropsychology . Marcia Barnes is the author of numerous peer-reviewed papers, book chapters, and a widely used book on learning disability identification and intervention. She leads the Barnes Lab at Vanderbilt, which is dedicated to improving outcomes for children with or at risk for learning disabilities through rigorous research. Ph.D. in Psychology, McMaster University, 1988 Postdoctoral Fellowship, Research Institute, The Toronto Hospital for Sick Children, 1988–1991 She advises students and leads research teams in the Barnes Lab, focusing on innovation in assessment and intervention for learning disabilities. While specific advisees are not listed, her federally funded projects suggest active mentorship and collaboration. Her lab explores future directions in technology-enhanced learning and integrated cognitive-academic supports. The Barnes Lab conducts cutting-edge research on: Risk factors for co-occurring math and reading disabilities Intervention efficacy through randomized trials Development of novel assessment instruments Technology-assisted learning tools Longitudinal trajectories of learning difficulties

Rosa Andujarمشاهده پروفایل

مدرس ارشد

• Ancient Greek Tragedy
• Ancient Greek Comedy
• Archaic Greek Poetry
• +۹ مورد دیگر

Rosa Andujar is a Senior Lecturer in Liberal Arts at King's College London, where she is affiliated with both the Department of Liberal Arts and the Department of Classics within the Faculty of Arts & Humanities. She serves as Editor of the American Journal of Philology and holds positions on the editorial boards of Brazilian journals Nuntius Antiquus and PhaoS - Revista de Estudos Clássicos. Dr. Andujar was elected to the Program Committee of the Society for Classical Studies for a three-year term (2022-2025), serving as Vice President for Program and Chair from 2023-2025. Her research focuses on two complementary areas: Ancient Greek tragedy, particularly the tragic chorus and its performance capabilities Global receptions of Greek drama, with special emphasis on Latin America and the Caribbean Dr. Andujar's work examines how engagements with Graeco-Roman antiquity intersect with questions of gender, race, class, and national identity. She has particular expertise in Cuban adaptations of Greek tragedy and Latinx receptions of classical drama, exploring how these cultural encounters create new narratives that challenge traditional understandings of classical reception. Her research has been recognized with prestigious awards including the 2020 London Hellenic Prize for 'The Greek Trilogy of Luis Alfaro' and the 2022 AJP Best Article Prize. She has secured significant research funding from the Loeb Classical Library Foundation, British Academy, A. G. Leventis Foundation, Harvard Center for Hellenic Studies, Andrew W. Mellon Foundation, and Fundación BBVA. Dr. Andujar's current research projects include 'The Cambridge Companion to Classics and Race' (edited volume), 'La Puerta Electra/The Electra Door' (critical bilingual anthology of Cuban rewritings), and 'Tragedy and Revolución' (monograph on Greek drama in Caribbean cultural history), supported by recent fellowships from the Loeb Classical Library Foundation and British Academy. She is actively involved in academic service as Editor of the American Journal of Philology, co-editor of the 'Classics and the Postcolonial' book series for Routledge, and Advisory Board member of 'Hesperides: Classics in the Luso-Hispanic World.' Her external examining work for the University of Birmingham (2018-2023) demonstrates her commitment to academic standards across institutions.