جست‌وجوی استاد و پژوهشگر

Cristine H Legareمشاهده پروفایل

استاد

• Cognitive Science
• Cognitive Development
• Cultural Learning
• +۵ مورد دیگر

Cristine H. Legare is a Professor of Psychology at The University of Texas at Austin, affiliated with the College of Liberal Arts. She directs the Center for Applied Cognitive Science and the Evolution, Variation, and Ontogeny of Learning Laboratory. Her work bridges cognitive science, cultural anthropology, and developmental psychology to explore how universal cognitive systems interact with cultural variability to shape learning and cultural evolution. Education: Ph.D. in Developmental Psychology from the University of Michigan (Culture and Cognition Program). Undergraduate studies at UC San Diego, double-majoring in Human Development and Cultural Studies. Research Interests: Cognitive development, cultural learning, global public health, STEM education, and the evolution of ritual behavior. Her projects span diverse populations, including studies in South Africa, Brazil, China, Vanuatu, and India. Grants & Funding: Supported by the National Science Foundation, John Templeton Foundation, and others. Her work addresses pressing issues in education and public health through interdisciplinary approaches. Recipient of the 2015 APS Janet Taylor Spence Award 2016 APA Boyd McCandless Award Labs & Initiatives: Founded the Center for Applied Cognitive Science to foster global collaborations between researchers and practitioners. Key projects include the RISE Project (healthcare rituals in India) and Thinkery Connect (museum-university partnerships). Teaching focuses on cognitive science of religion and coevolution of cognition/culture. Over 100 publications in top journals like Psychological Science and PNAS, with media coverage in NPR, Scientific American, and The Wall Street Journal.

• Sociology of Religion
• Catholic Theology
• Atheism and Nonreligion
• +۸ مورد دیگر

Stephen Bullivant is Professorial Research Fellow in Theology and Sociology at the University of Notre Dame Australia (Sydney Campus), School of Philosophy & Theology, and also Professor of Theology and the Sociology of Religion at St Mary's University, London. He holds doctorates from Oxford (Theology) and Warwick (Sociology), and directs the Benedict XVI Centre for Religion and Society at St Mary's. His research spans the sociology of religion, Catholic theology, atheism, nonreligion, and religion’s interaction with science and technology. Key areas include Catholic disaffiliation, secularization, empirical studies of Christianity, and the abuse crisis in the Church. He has published extensively, including major works like Mass Exodus , The Oxford Handbook of Atheism , and The Cambridge History of Atheism . The recent articles reflect a strong interdisciplinary focus on Catholicism, secular trends, and moral theology. They show a consistent methodological blend of empirical data, sociological analysis, and theological reflection, particularly on British and American religious contexts. Topics include youth commitment, liturgical change, conscience, and ecclesial power structures. Fellow, International Society for Science and Religion (2019–) Fellow, Higher Education Academy (2010–) Fellow, Word on Fire Institute (2019–) Co-director, Nonreligion and Secularity Research Network (2008–14) Prof. Bullivant has led and co-led numerous research grants, including major projects funded by the John Templeton Foundation, Arts and Humanities Research Council, and Porticus UK. He supervises research in theology and sociology of religion and collaborates widely across institutions. He is actively engaged in public scholarship, with media contributions in BBC, The Guardian, The New York Times, and EWTN. He is also involved in editorial work for journals such as Secularism and Nonreligion , Antiphon , and the International Journal for Evangelization and Catechetics .

• Organizational Psychology
• Entrepreneurship
• Human Resource Management
• +۳ مورد دیگر

Chris Steyaert is a Professor and Director at the University of St. Gallen's Business Administration Department in Switzerland. His work focuses on organizational psychology, entrepreneurship, and human resource management, with a particular emphasis on qualitative and narrative approaches. Research Interests: Organizational Psychology Entrepreneurship Studies Human Resource Management Qualitative Research Methodologies Social Constructionism Narrative Analysis His research explores how entrepreneurial activities are socially constructed and how organizations manage diversity and change through dialogical and narrative processes. His work often challenges traditional management paradigms by emphasizing the creative and performative aspects of organizing. Scientific Awards: Best Paper Award at RENT X Conference, Brussels 1996 Selected paper in EFER competition, Ghent 1995 Second best paper at 7th RENT workshop, Budapest 1993 Publications and Contributions: Steyaert has published extensively in top-tier journals and books, focusing on entrepreneurship, organizational psychology, and human resource management. His work includes both theoretical contributions and empirical studies, often employing qualitative methodologies.

Robert R. Edwardsمشاهده پروفایل

استاد

• Medieval Literature
• Chaucer Studies
• Book History
• +۴ مورد دیگر

Robert R. Edwards serves as the Edwin Erle Sparks Professor of English and Comparative Literature at Pennsylvania State University within the College of the Liberal Arts. His office is located in Burrowes Building, where he maintains regular office hours including scheduled appointments for Fall 2025. As a distinguished scholar in medieval literary studies, Professor Edwards has established himself as a leading authority on Chaucer, medieval drama, and book history. Professor Edwards specializes in Book History and Textual Studies with particular expertise in Medieval Literature. His research focuses on Chaucer studies, continental and Latin literary relations, and authorship in trilingual England. His scholarly approach integrates historical context with literary analysis, examining how medieval writers engaged with classical traditions while developing innovative narrative forms. His work reveals the complex interplay between textual production, cultural identity, and literary innovation in the medieval period. His publication record demonstrates consistent scholarly productivity spanning several decades, with significant contributions to understanding medieval literary theory, authorship concepts, and cross-cultural literary relations. His works show an evolving trajectory from foundational studies of medieval poetics to more nuanced examinations of specific authors and textual traditions, particularly focusing on how medieval writers negotiated classical heritage with contemporary cultural concerns. Professor Edwards has edited significant works including John Lydgate's writings and essay collections on medieval love, desire, and sexuality. His scholarly editing demonstrates commitment to making primary medieval texts accessible while providing critical frameworks for contemporary interpretation. His research continues to influence how scholars understand the development of literary consciousness in the medieval period.

María del Pilar Blancoمشاهده پروفایل

استاد

• Spanish American Literature
• Comparative Literature
• Literature and Science
• +۵ مورد دیگر

María del Pilar Blanco is a Professor of Spanish American and Comparative Literature at the University of Oxford, where she is also a Fellow and Tutor at Trinity College and Associate Lecturer at Worcester College. Her research intersects Spanish American literature with comparative frameworks, focusing on literature and science, spectrality, landscape, and transnational literary exchanges. Research explores popular science writing in late 19th-early 20th century Spanish American periodicals Current book project: Modernist Laboratories: Science and the Poetics of Progress in Fin-de-Siècle Spanish America (Oxford University Press) Supervision interests: literature/science intersections, spectrality, comparative projects on hemispheric American literature Key awards include the British Academy Mid-Career Fellowship (2017-18) and the Ray and Pat Browne Award (2010). Her publications span spectral theory, modernist studies, Latinx literature, and scientific modernity in Latin America.

• Data Mining
• Machine Learning
• Relational Learning
• +۱۲ مورد دیگر

Jennifer Neville is a Senior Principal Researcher at Microsoft Research Redmond and holds the Samuel Conte Chair Professor of Computer Science and Statistics at Purdue University. With over 100 publications and 10K citations, her research spans data mining, machine learning, and AI algorithms for relational and networked domains including social networks, epidemiology, and web analytics. Education: BS in Computer Science, University of Massachusetts Amherst (2000) MS in Computer Science, University of Massachusetts Amherst (2004) PhD in Computer Science, University of Massachusetts Amherst (2006) Her work focuses on relational learning techniques that exploit connections between entities to enhance pattern discovery. Recent research explores large language models (LLMs), emphasizing alignment with user intent through interaction at scale, while addressing statistical biases from graph structures. Selected scientific awards include the NSF Career Award (2012), ICDM Best Paper (2009), and IEEE’s 10 to Watch in AI (2008). She served on the AAAI Executive Council (2015-2018) and chaired multiple conferences including SIAM Data Mining (2019) and ACM Web Search (2016). Contact: neville@cs.purdue.edu jenneville@microsoft.com

• Medical Image Analysis
• Machine Learning
• Generative AI
• +۳ مورد دیگر

Dr Vu Minh Hieu Phan is a Research Fellow at the Australian Institute for Machine Learning , University of Adelaide. His work focuses on foundational models, multimodal learning, and medical image analysis, leveraging deep learning and large language models. Research Interests : Medical Image Analysis, Vision-Language Models, Generative AI, Semantic Segmentation, Continual Learning, Knowledge Distillation. Key Venues : CVPR, ACL, EMNLP, IJCAI, MICCAI, NeurIPS, TPAMI, and IJCV. Notable Contributions include advancements in multimodal learning for medical imaging, explainable AI frameworks, and efficient knowledge distillation techniques. He serves as a reviewer for top-tier journals and conferences. Email : vu.minhhieu.phan@adelaide.edu.au

Michaela Sambanisمشاهده پروفایل

استاد

• English Language Teaching
• Positive Foreign Language Didactics
• Neurodidactics
• +۶ مورد دیگر

Univ.-Prof. Dr. Michaela Sambanis is a Professor of English Didactics at the Institute of English Philology within the Department of Philosophy and Humanities at Freie Universität Berlin. She has held this position since 2011 and previously served as the managing director of the Institute from Winter semester 2017/2018 to October 2019. Her academic journey includes research work at the Transfer Center for Neuroscience and Learning at the University of Ulm (2008-2011), completion of her habilitation in 2006, and her promotion in 2001. Professor Sambanis's research centers on the innovative intersection of educational neuroscience and language teaching methodology. Her work pioneers the field of Positive Foreign Language Didactics, connecting positive psychology with language education. She investigates embodied cognition approaches, particularly movement-based learning, and explores theater methods and arts integration in language instruction. Her research also addresses teacher well-being and health, multilingualism in educational settings, and the application of neuroscience findings to practical classroom situations. The k2teach project represents her current focus on teaching-learning labs in English teacher education. Her scholarly output demonstrates a consistent trajectory toward integrating neuroscience with language pedagogy, with recent publications increasingly addressing mental health, digital transformation in education, and positive psychology applications. The evolution of her work shows a progression from practical teaching methods to increasingly sophisticated neurodidactic frameworks that bridge scientific evidence with classroom practice. Professor Sambanis serves on multiple scientific advisory boards including the Goethe Institut in Munich, the Transfer Center for Neuroscience and Learning at the University of Ulm, and the Schlözer Program for Teacher Education. She is also the founding chair of the cross-state E&M Berlin-Brandenburg section and a member of the German Society for Foreign Language Research (DGFF). Her editorial work includes the SELT book series on English Language Teaching. Her teaching responsibilities include supervising master's theses in English teaching, and she has developed numerous teaching-learning laboratories that connect theoretical knowledge with practical application in teacher education. Her work demonstrates a strong commitment to evidence-based foreign language didactics that incorporates insights from neuroscience, psychology, and educational research.

• Linguistics
• Syntax
• Ellipsis
• +۳ مورد دیگر

Dr. Tyll Robin Lemke is a researcher at Saarland University in the Department of Modern German Linguistics (Neuere deutsche Sprachwissenschaft). He serves as a scientific staff member in Project B3 of the Collaborative Research Center SFB 1102. His academic focus includes experimental linguistics, syntax, and psycholinguistics, with specialized expertise in ellipsis phenomena and fragment analysis. Lemke's research explores the cognitive underpinnings of language production and comprehension, particularly investigating how predictability, context, and information theory shape linguistic structures. His work employs diverse methodologies including corpus analysis, psycholinguistic experiments, computational modeling, and gamified experimental paradigms to examine ellipsis, fragments, and syntactic phenomena in German. Analysis of Lemke's recent publications reveals consistent themes: the role of predictability in language production, constraints on ellipsis resolution, information-theoretic approaches to language efficiency, and experimental validation of syntactic theories. His research bridges theoretical linguistics with cognitive science through innovative experimental designs. In the upcoming 2025/26 winter semester, Lemke is teaching courses on Experimental Linguistics and Ellipsis in Theory and Experiment. He maintains an active research program within the SFB 1102 collaborative framework and regularly presents at international linguistics conferences.

Marta Severoمشاهده پروفایل

مدرس

• Cultural Heritage
• Digital Humanities
• Intangible Cultural Heritage
• +۶ مورد دیگر

Marta Severo is a Lecturer at University of Paris Nanterre in the Department of Information, Communication, Digital Media within the Faculty of Humanities and Social Sciences. She also maintains significant research affiliations with University of Lille where she has directed multiple projects including the PEPS Digital Routes Project (2015-2016). Her academic profile is characterized by interdisciplinary research at the intersection of digital technologies and cultural heritage. Her research focuses on digital representations of cultural heritage, particularly intangible cultural heritage (ICH) and cultural itineraries like the Via Francigena. She investigates how digital methods can be used to study, represent, and safeguard cultural heritage through social media analysis, network mapping, and participatory platforms. Her work examines the relationship between amateurs and institutions in knowledge production, with special attention to Wikipedia as a citizen science tool. Her publication portfolio demonstrates consistent scholarly output with significant contributions to understanding digital representations of cultural routes, stakeholder networks along heritage paths, and participatory approaches to cultural heritage management. Her research shows a clear trajectory from methodological development in digital humanities to applied studies of specific heritage contexts. Humboldt Research Fellowship for Experienced Researchers (2023-2025) for project on ethics of digital participation IUF project funding for 'Data in action' research on research trajectories of implication NEST project (Marie Skłodowska-Curie RISE Action Programme) visiting fellowship at UC Berkeley (2022) As a research leader, Marta Severo has directed multiple significant projects including the ANR COLLABORA project (construction of an observatory of cultural contributory devices), the Wikipatrimoine project (exploring collaborative management of cultural heritage), and the ICH Observatory project (mapping digital networks of ICH stakeholders in France). Her work demonstrates strong commitment to interdisciplinary collaboration across computer science, social sciences, and heritage management. She frequently partners with European institutions including the European Association of Via Francigena Routes and has presented at numerous international conferences on cultural heritage and digital methods.

Pavel Panchekhaمشاهده پروفایل

استادیار

• Programming Languages
• Program Synthesis
• Verification
• +۴ مورد دیگر

Pavel Panchekha is an Assistant Professor in the School of Computing at the University of Utah, where he holds the Warnock Chair for Junior Faculty. His research spans programming languages, web browsers, and numerical analysis, with a focus on developing programming language techniques to address challenges across computer science. Dr. Panchekha received his educational training at prestigious institutions: PhD in Computer Science from the Paul G. Allen School for Computer Science and Engineering at the University of Washington, advised by Michael D. Ernst and Zachary Tatlock BS in Mathematics from MIT Panchekha's research program has two major thrusts. First, he works on web browser internals , with projects including fuzzing layout invalidation, multi-tenant garbage collection, and optimizing 2D graphics. He is also authoring a textbook on web browsers that informs much of this research. Second, he focuses on automatic numerical analysis , with projects such as automatic accuracy improvement, synthesis via term rewriting, scalable static accuracy analysis, and math library implementation. He leads the FPBench and Herbie projects, which are major deployments of his research. His scholarly output demonstrates consistent contributions across programming languages, verification, and numerical methods. Recent work shows a growing emphasis on bidirectional typing systems, layout invalidation in browsers, and robust floating-point error analysis. His publications reveal a trajectory from foundational work on floating-point accuracy (notably the Herbie tool that won a Distinguished Paper Award at PLDI 2015) toward more comprehensive systems for program synthesis, verification, and browser optimization. Panchekha has received significant recognition for his research contributions: NSF Fellowship ARCS Foundation Fellowship Adobe Research Fellowship Wissner-Slivka Foundation Fellowship 2015 PLDI Distinguished Paper Award for work on the Herbie numerical analysis and repair tool As an advisor, Panchekha mentors a substantial group of students across multiple levels. He currently advises six students: Marisa Kirisame (PhD), Bhargav Kulkarni (PhD), Yumeng He (PhD), Artem Yadrov (MS), Jesus Ponce (BS), and Jonas Regehr (BS). Previously, he has advised over twenty students including PhD candidates like Ian Briggs and numerous MS and BS students. His advising spans theoretical topics in programming languages and practical applications in web browsers and numerical computing. Panchekha leads research groups focused on programming languages applications to web browsers and numerical analysis. His work on the Herbie tool for floating-point accuracy improvement has become influential in the programming languages community, and his more recent work on browser internals is shaping how researchers understand and optimize modern web rendering engines. He is currently developing a textbook on web browsers that aims to synthesize knowledge about browser architecture and implementation.

Sriraam Natarajanمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Healthcare Applications
• +۵ مورد دیگر

Sriraam Natarajan is a Professor and Director of the Center for Machine Learning and StaRLing Lab at The University of Texas at Dallas (UTD), part of the Erik Jonsson School of Engineering & Computer Science. He holds additional roles as a hessian.AI Fellow at TU Darmstadt and an RBCDSAI Distinguished Faculty Fellow at IIT Madras. His expertise spans Artificial Intelligence, Machine Learning, and their applications in healthcare, with a focus on Relational Learning, Reinforcement Learning, and Graphical Models. He has been honored as an AAAI Fellow (2025), elected to the AAAI Executive Council, and recognized with the UTD Outstanding Graduate Teaching Award. Education: Completed his PhD in Computer Science at Oregon State University in 2007 under Prof. Prasad Tadepalli. Postdoctoral work at the University of Wisconsin-Madison with Professors Jude Shavlik and David Page. Previously served as faculty at Indiana University and Wake Forest School of Medicine. Research: Active in developing AI systems for healthcare, including predictive models for gestational diabetes and cardiac arrest in children. His work emphasizes integrating human knowledge into machine learning (e.g., Human-in-the-Loop systems) and advancing statistical relational AI frameworks like Markov Logic Networks and Probabilistic Circuits. Publications: Over 100 peer-reviewed articles, including notable works on causal learning, relational reinforcement learning, and knowledge graph construction. Recent focuses include explainable AI and scalable probabilistic models. Awards: AAAI Fellow, RBCDSAI Distinguished Fellowship, UTD Teaching Excellence Award. Advising and Collaboration: Mentored over 30 students, many now in academia and top institutions like IBM Research, Facebook, and Microsoft. Collaborates globally on projects like GLAD (Glocalized Anomaly Detection) and StaRLing Lab initiatives. Labs/Teams: Leads the StaRLing Lab, focusing on statistical relational AI, and directs UTD's Center for Machine Learning. Engaged in interdisciplinary projects with healthcare, robotics, and data science communities.

Mirella Lapataمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Semantic Parsing
• +۵ مورد دیگر

Mirella Lapata is a Professor of Computer Science at the University of Edinburgh , affiliated with the School of Informatics and the EdinburghNLP group. Her research focuses on developing AI systems that reason, generalize, and handle long contexts, with specific interests in compositional generalization, cross-lingual transfer, and verifiable generation. She leads projects funded by UKRI and ERC , including the UKRI AI Centre for Doctoral Training in Responsible NLP and Turing AI Fellowship for human-like reasoning in models. Research Emphasis : Coarse-to-fine decoding in semantic parsing, parameter-efficient LLMs, collaborative writing frameworks, and multimodal summarization. Advising : Supervises current PhD students and has mentored 23 PhD graduates since 2007, including notable alumni like Li Dong and Siva Reddy. Labs & Teams : Co-leads the Generative AI Laboratory (GAIL) and contributes to the Edinburgh Laboratory for Integrated Artificial Intelligence (ELIAI). Her recent work addresses hallucinations in generative models, cross-lingual semantic parsing, and structured reasoning in text-to-SQL tasks. She has co-authored 15+ publications in 2024 alone, spanning journals like TACL , NeurIPS , and ACL .

Emiliana Cruz Cruzمشاهده پروفایل

استاد

• Linguistic Anthropology
• Indigenous Languages
• Language Documentation
• +۵ مورد دیگر

Emiliana Cruz Cruz is a professor-researcher at the Center for Research and Higher Education in Social Anthropology (CIESAS) in Mexico City, specializing in linguistic anthropology with a PhD from the University of Texas at Austin. Originally from Cieneguilla, San Juan Quiahije, Oaxaca, she focuses on indigenous language preservation and community collaboration. Her educational background includes: PhD in Linguistic Anthropology, University of Texas at Austin, USA Dr. Cruz Cruz's research spans linguistic anthropology, indigenous language documentation, and revitalization, with emphasis on education, language rights, and territory-indigenous identity relationships. She actively participates in the collective "Dialogues among Indigenous Scholars," centering indigenous epistemologies and community-driven methodologies to address language endangerment through ethnographic approaches. Her publications demonstrate consistent community-engaged scholarship on Chatino language transmission, intergenerational knowledge transfer, landscape-language interconnections, and theoretical contributions from indigenous researchers in anthropological fieldwork. Key recognitions include: Distinguished Community Engagement Award from the University of Massachusetts for the Chatino Language Documentation Project SNI Level I by the Mexican National System of Researchers She currently leads multiple initiatives including a Chatino dictionary with ethnographic context, neuroplasticity studies in endangered language speakers, and broader Chatino language preservation projects, maintaining deep collaboration with indigenous communities across Latin America.

Cuiyun Gaoمشاهده پروفایل

استاد

• Software Repository Mining
• Natural Language Processing
• Code Analysis
• +۵ مورد دیگر

Cuiyun Gao is a Full Professor and PhD Supervisor at the School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen. She has established herself as a prominent researcher in the intersection of artificial intelligence and software engineering. Her educational background includes a PhD from the Chinese University of Hong Kong (completed in 2018), followed by postdoctoral work at CUHK and a Research Fellowship at Nanyang Technological University. She also had a visiting period at University College London supervised by Prof. Mark Harman and Prof. Federica Sarro. Dr. Gao's research primarily focuses on Software Repository Mining, Natural Language Processing, Code Analysis, Large Language Models, Source Code Understanding, User Review Analysis, Vulnerability Detection, and Mobile Advertising Analysis . Her work bridges the gap between traditional software engineering practices and modern AI techniques, particularly in the context of code intelligence and software maintenance. Her recent publications (2024-2025) demonstrate a strong emphasis on Large Language Models for code-related tasks, including code generation, optimization, vulnerability detection, and software engineering applications. Her research shows a clear trend toward addressing practical challenges in integrating LLMs into the software development lifecycle while maintaining code quality and security. Scientific Awards: Distinguished Paper Award at ASE 2023 Best Paper Award of the Track at ICSE 2024 Distinguished Paper Award at ICSE 2024 Dr. Gao actively supervises multiple PhD and Master's students, contributing to the next generation of software engineering researchers. She has served on numerous conference committees including FSE, ISSTA, ICSE, ASE, and SANER. Her research has received significant attention in the software engineering community, with multiple papers published in top-tier venues like FSE, ICSE, ASE, and TSE. Her lab appears to be actively engaged in both theoretical research and practical applications, particularly in the context of WeChat and other industry collaborations, demonstrating strong industry-academia connections.