جست‌وجوی استاد و پژوهشگر

Ruihong Huangمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Information Extraction
• Machine Learning
• +۶ مورد دیگر

Ruihong Huang is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University, part of the College of Engineering. She holds a Ph.D. from the University of Utah (2014) and completed a postdoctoral fellowship at Stanford University. Her research focuses on Natural Language Processing (NLP) with emphasis on information extraction, event recognition, media bias analysis, and ethical AI applications. She teaches courses like Information Storage and Retrieval (CSCE 470), Natural Language Processing (CSCE 638), and has advised numerous PhD, Master’s, and undergraduate students. Key research contributions include work on event coreference resolution, discourse analysis, and detecting media bias through event relation graphs. Huang has developed benchmark datasets like UAL-Bench and EMONA, and her work spans applications in disaster management, fake news detection, and moral reasoning in LLMs. She is a recipient of the NSF CAREER Award and serves on program committees for top conferences like ACL and EMNLP. Her academic service includes roles as Area Chair for ACL 2024 and Senior Area Chair for EMNLP 2024. She maintains an active lab group focusing on NLP fundamentals and real-world applications, with projects involving propaganda identification, polarity calibration for opinion summarization, and multimodal dialog act classification. Huang has published over 80 papers in top-tier venues such as NAACL, EMNLP, ACL, and NeurIPS.

Freda Shiمشاهده پروفایل

استادیار

• computational linguistics
• natural language processing
• computational multilingualism
• +۵ مورد دیگر

Freda Shi is an Assistant Professor at the David R. Cheriton School of Computer Science at the University of Waterloo and a Faculty Member at the Vector Institute, where she holds a Canada CIFAR AI Chair. She joined the University of Waterloo in July 2024 after completing her Ph.D. at the Toyota Technological Institute at Chicago. Educational Background: Ph.D. in Computer Science, Toyota Technological Institute at Chicago (2024), advised by Professors Karen Livescu and Kevin Gimpel Bachelor's degree in Intelligence Science and Technology (Computer Science Track) with a minor in Sociology, Peking University (2018) Dr. Shi's research focuses on computational linguistics and natural language processing, particularly on deeper understandings of natural language and the human language processing mechanism. She is especially interested in learning language through grounding, computational multilingualism, and related machine learning aspects. Her work aims to inform the design of more efficient, effective, safe, and trustworthy NLP systems. She leads the CompLING Lab at the University of Waterloo, which investigates how language models process spatial relationships and acquire linguistic structures through grounded experiences. Her publication record shows a consistent trajectory of high-impact research, with recent work focusing on spatial reasoning in vision-language models, multilingual chain-of-thought capabilities, and grounded language acquisition. She has published in top-tier conferences including ACL, EMNLP, ICLR, and NAACL, with several papers receiving notable recognition including Best Paper Nominee status at multiple venues. Her research bridges theoretical linguistics with practical NLP applications, demonstrating how linguistic insights can improve AI systems. Scientific Recognition: Canada CIFAR AI Chair (2024) Google Ph.D. Fellowship Thesis of Distinction for her doctoral work Multiple Best Paper Nominee awards at major NLP conferences Dr. Shi teaches CS 784: Computational Linguistics and CS 486/686: Introduction to Artificial Intelligence at the University of Waterloo. She actively contributes to the NLP research community through conference participation, program committee service, and collaborative projects. Her research has significant implications for creating more robust, human-like language understanding systems and advancing the field of grounded language learning in artificial intelligence.

Ellen Riloffمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Sentiment Analysis
• +۳ مورد دیگر

Ellen Riloff serves as Department Head and Professor in the Department of Computer Science at the University of Arizona, where she leads research at the intersection of natural language processing (NLP) and artificial intelligence. Her work bridges theoretical advancements with real-world applications in social computing, planetary science, and crisis response systems. Education: Ph.D. in Computer Science, University of Massachusetts at Amherst (1994) Research Focus: Dr. Riloff specializes in affective computing and information extraction , developing techniques to recognize emotion, social cues, and embodied expressions in text. Her methodologies frequently employ bootstrapping, stacked learning, and semantic lexicon induction. Recent projects address crisis informatics (e.g., social cue recognition in emergencies) and interdisciplinary applications like the Mars Target Encyclopedia for planetary science data extraction. Publication Trends: Analysis of her 15 most recent publications (2021–2025) reveals three dominant trajectories: (1) affective event modeling in social contexts with applications to crisis response; (2) domain-specific NLP for planetary science and food systems; and (3) advanced language model techniques including retrieval-augmented generation and multi-view prompting. Her work increasingly integrates deep learning with traditional linguistic features. Grants and Leadership: Dr. Riloff has directed multiple NSF-funded projects, including RI: Small: Recognizing Implicit Personal States in Natural Language (2016) and RI: Small: Acquiring Domain Knowledge from Text through Cooperative Bootstrapping (2010). These initiatives pioneered bootstrapping frameworks for affective event recognition and information extraction. She also co-organized the Workshop on Pattern-based Approaches to NLP (2023), highlighting her leadership in advancing hybrid NLP methodologies. Collaborative Infrastructure: She co-developed the Mars Target Encyclopedia—a large-scale information extraction system that processes planetary science literature to create structured databases of Mars surface targets. This project demonstrates her commitment to building reusable scientific infrastructure through NLP.

• Programming Languages
• Formal Methods
• Software Engineering
• +۴ مورد دیگر

Alexander Summers is an Associate Professor at the Department of Computer Science , University of British Columbia . He joined UBC in March 2020 after serving as a Senior Researcher (Oberassistent) at ETH Zurich from 2014-2020. His research bridges Programming Languages , Formal Methods , and Software Engineering , with a focus on automated verification tools for heap-based and concurrent programs. MSc Joint Mathematics and Computer Science, Imperial College London (2004) PhD Computer Science, Imperial College London (2009) Postdoc, ETH Zurich (2009-2014) Summers leads the Prusti Project , developing deductive verification tools for Rust, and contributes to the Viper Project for intermediate verification languages. His work addresses challenges in: Memory safety and concurrency verification Ownership models and aliasing control Automated reasoning with SMT solvers Resource-oriented programming specifications Debugging verification condition quantifiers Formal validation of verification infrastructure His research has been recognized with a Amazon Research Award and ACM SIGPLAN Distinguished Paper Awards . He teaches courses like Advanced Software Engineering and Program Verifiers and Program Verification , and supervises graduate students in formal verification and Rust-related research.

Parisa Kordjamshidiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۷ مورد دیگر

Parisa Kordjamshidi is an Associate Professor of Computer Science and Engineering at Michigan State University (MSU), leading the Heterogeneous Learning and Reasoning (HLR) Lab. Her research focuses on Neuro-Symbolic AI, spatial language understanding, and structured learning, with notable contributions to frameworks like Saul for declarative programming. She joined MSU in 2019 after roles at Tulane University and the Florida Institute for Human and Machine Cognition. Education: Ph.D. in Computer Science from KU Leuven (2013), postdoctoral research at UIUC's Cognitive Computation Group, and work in the KnowEng project. Research Interests: Artificial Intelligence, Machine Learning, Natural Language Processing, Neuro-Symbolic systems, spatial semantics extraction, structured output learning, and multimodal reasoning. Key projects include NSF CAREER awards for spatial language understanding and ONR grants for integrating domain knowledge into AI. Awards: NSF CAREER (2019), Amazon Faculty Research Award (2022), Fulbright Scholar (2025), and Rising Stars at MIT EECS (2015). Grants: Active projects on Neuro-Symbolic compositional generalization (ONR), spatial language learning (NSF), and collaborations with the Department of Media and Information for health misinformation management. Professional Activities: Editorial roles at JAIR, TACL, and Frontiers journals; service on program committees for ACL, EMNLP, and AAAI; organization of workshops like Spatial Language Understanding (SpLU) and CLeaR. Lab and Software: HLR Lab develops Saul (declarative learning-based programming framework) and tools for spatial role labeling. Her team emphasizes mentoring, with structured weekly meetings, reading groups, and conference participation for students.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۵ مورد دیگر

Marie Candito is a Lecturer at the School of Linguistics, Paris Cité University. She serves as Deputy Director of the Laboratoire de Linguistique Formelle (LLF, CNRS) since January 2025 and Head of the M2 Computational Linguistics program at Paris Cité University. Her research focuses on natural language processing, computational linguistics, and linguistic abilities of large language models. Current Projects : Co-PI of ANR SELEXINI (2021-2025) and scientific coordinator for LLF in ANR PANTAGRUEL (2023-2025) Past Projects : PI of ANR ASFALDA-French FrameNet (2013-2016), scientific coordinator for ANR PARSEME-FR (2015-2019), and member of ANR SEQUOIA (2010-2013) Her work involves measuring and mitigating biases in language models, inducing semantic lexicons from corpora, and studying human vs. LLM word associations. She supervises PhD students including Maria Andueza Rodriguez, Anna Mosolova, and David Kletz.

• Metaphysics
• Modal Logic
• Philosophical Logic
• +۳ مورد دیگر

Peter Fritz is a Professor in Philosophy at the Dianoia Institute of Philosophy within the Faculty of Theology and Philosophy. His research focuses on metaphysics, modal logic, and formal ontology, with particular emphasis on higher-order metaphysical systems, propositional contingentism, and the interplay between modal operators and ontological structure. He has contributed extensively to debates on modal semantics, metaphysical grounding, and the foundational limits of set theory through a modal lens. His educational and professional background is not explicitly detailed in the provided texts, but his academic output spans over two decades with significant contributions to analytic metaphysics and formal philosophy. Notable themes include the nature of existence, ontological commitments in modal contexts, and the expressive power of higher-order logics. Fritz’s work often bridges formal logic and metaphysical inquiry, as seen in his exploration of propositionally quantified modal logics, the structure of metaphysical grounding, and the application of modal frameworks to resolve paradoxes in naive set theory. His scholarship frequently engages with foundational questions in metaphysics, epistemology, and the philosophy of language. No scientific awards, grants, or advising roles are listed in the provided materials. His affiliations include the Dianoia Institute of Philosophy and the Faculty of Theology and Philosophy, where he has held academic positions.

Lera Boroditskyمشاهده پروفایل

دانشیار

• Cognitive Science
• Linguistics
• Psychology
• +۳ مورد دیگر

Lera Boroditsky is an Associate Professor of Cognitive Science at the University of California, San Diego (UCSD) and Editor in Chief of Frontiers in Cultural Psychology. She previously held faculty positions at MIT and Stanford University. Her research focuses on the interplay between language, thought, and perception, particularly how linguistic structures shape cognitive processes such as time perception, spatial reasoning, and causal reasoning. She investigates cross-linguistic differences in mental representations, including how speakers of languages like English, Mandarin, and Indonesian conceptualize time and events differently. Her work bridges cognitive psychology, linguistics, and neuroscience, emphasizing the 'experiential basis of meaning.' Notable contributions include demonstrating that grammatical structures (e.g., gender distinctions in nouns) influence object conceptualization and that spatial metaphors for time (e.g., 'the future is ahead') affect behavior and decision-making. She has also explored how metaphor framing influences societal issues like immigration policy and healthcare attitudes. Awards: Searle Scholar, McDonnell Scholar, NSF Career Award, APA Distinguished Scientist Lecturer Research Highlights: Language and Time Perception, Metaphor and Cognition, Cross-linguistic Cognition Boroditsky’s grants include funding from the McDonnell Foundation and NSF, supporting projects on cultural psychology and cognitive modeling. She advises on experimental and theoretical research in cognitive science, though specific student names are not listed here. Her lab explores topics like embodied cognition and the neural correlates of linguistic relativity.

Thomas P. Jensenمشاهده پروفایل

استاد

• Program Analysis
• Static Program Analysis
• Abstract Interpretation
• +۷ مورد دیگر

Thomas P. Jensen is a Directeur de recherche (Research Director) at INRIA, the French National Institute for Computer Science and Applied Mathematics. He has been affiliated with INRIA since 2010, previously serving as a researcher at CNRS (French National Center for Scientific Research) from 1993 to 2010. Currently, he leads the Epicure project-team on semantic analysis and compilation for secure execution platforms, and since 2022, he serves as director of the Laboratoire d'Excellence CominLabs. His educational background includes a Cand. scient. in Computing and Mathematics from the University of Copenhagen (1990), a PhD from Imperial College, University of London (1992), and a Habilitation à diriger des recherches from Université Rennes 1 (1999). Dr. Jensen's research focuses on program analysis and software security , with particular expertise in static program analysis based on abstract interpretation theory, language-based security, information flow control, and Software Fault Isolation. His work bridges theoretical foundations with practical applications in secure compilation and program verification. His recent publications reveal a strong trend toward formally verified security mechanisms, particularly in the integration of Software Fault Isolation with verified compilers like CompCert. His research spans both theoretical aspects of program semantics and practical security applications, with increasing emphasis on algebraic data types, relational analysis, and formal verification of program transformations. Best paper award at GPCE 2018 for Verification of High-Level Transformations with Inductive Refinement Types Editor of Strategic research and innovation roadmap for the SPARTA cybersecurity competence network (2022) Dr. Jensen has been actively involved in numerous research projects including JavaSec, Decert, Seccloud, AJACS, Anastasec, SPARTA, and SecurEval. His leadership roles in research teams and projects demonstrate his significant contributions to both academic research and practical cybersecurity applications. His work often involves collaboration with researchers across Europe on large-scale cybersecurity initiatives. He maintains strong connections with the international programming languages and security research communities, regularly publishing in top venues including PLDI, POPL, ICFP, SAS, ESOP, and CSF, and participating in program committees for major conferences in these fields.

Sergey Avrutinمشاهده پروفایل

استاد

• Comparative Psycholinguistics
• Language Acquisition
• Neurolinguistics
• +۷ مورد دیگر

Prof. Sergey Avrutin is a Professor of Comparative Psycholinguistics at Utrecht University's Department of Languages, Literature and Communication, within the College of Humanities. His research integrates information theory into language processing studies, focusing on typically and atypically developing children, adults, and individuals with aphasia. He previously led the NWO-sponsored PIONEER research program (2000-2005) and current projects explore rule induction from partially ordered input and entropy-driven models. Prof. Avrutin has held academic roles such as Research Leader, Promoter, and Executor across multiple NWO and EU-funded projects. His research spans syntax-discourse interface, language acquisition disorders, bilingualism diagnostics, and special registers like headlines and TV commentary. He collaborates with international institutions including Berlin's Zentrum für Allgemeine Sprachwissenschaft and Russia's Herzen State Pedagogical University. His teaching includes courses on Cognitive Science, Language and Law, and the Syntax-Discourse Interface. Recent work highlights contributions to understanding lexical access in aphasia, the role of prosody in anaphora resolution, and statistical learning mechanisms. His articles and projects reflect a focus on interdisciplinary methods, combining experimental and theoretical approaches to linguistic phenomena.

William Davisمشاهده پروفایل

دانشیار

• Social Psychology
• Personality Psychology
• Authenticity
• +۴ مورد دیگر

Dr. William Davis is an Associate Professor of Psychology at Wittenberg University, specializing in social and personality psychology. He earned his PhD from Texas A&M University and BS from North Dakota State University. His research examines how authenticity, meaning in life, and motivational processes shape human well-being and interpersonal functioning. Research Focus: Core interests include: Psychological consequences of authentic self-expression Existential and temporal aspects of meaning in life Motivational frameworks in goal pursuit Social-cognitive processes in relationships Meta-science and research transparency Publication Trends: His extensive publication record demonstrates: Cross-cultural investigations of psychological phenomena Integration of existential and motivational theories Large-scale collaborative replications (Many Labs projects) Applications to health communication and relationship science Teaching & Service: Dr. Davis teaches Experimental Social Psychology, Personality, and Research Methods. He co-leads the First Year Research Award program and organizes the annual Connections Symposium, providing undergraduate research opportunities. His methodological leadership includes peer-review guidelines for enhancing replicability in psychological science.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۷ مورد دیگر

David Martins de Matos is an Associate Professor at Instituto Superior Técnico (IST), Universidade de Lisboa , and a senior researcher at INESC-ID Lisbon within the Human Language Technology Lab . With a career spanning over three decades, he has taught subjects such as Compilers and Object-Oriented Programming since 1993. His research focuses on Natural Language Engineering , Automatic Natural Language Generation , Music Information Retrieval , and Machine Learning Applications in Healthcare . Education: B.Sc. in Electrical and Computer Engineering (IST, 1990) M.Sc. in Electrical and Computer Engineering (IST, 1995) on object-oriented programming in distributed systems Ph.D. in Systems and Computer Science (IST, 2005) on automatic natural language generation Research Interests: His work bridges Natural Language Processing and Computational Music Analysis , with applications in Health Informatics . He investigates semantic frame induction, dialog act recognition, and multimodal systems for chronic pain assessment, Alzheimer's detection, and music generation. His recent articles explore cross-modal retrieval, deep learning for pain narratives, and embodied semantics via fMRI. Scientific Contributions: He has published over 161 works, including 15 recent articles on chronic pain datasets, dialog act recognition, and music-language correlations. His awards include Senior Member status in ACM (SIGMM, SIGIR) and IEEE (Signal Processing Society, Computer Society) , and membership in the Order of Portuguese Engineers . Advising & Collaborations: He has supervised 111 doctoral and master's theses, mentoring students in topics like Visual Story Generation , Music Summarization , and Health Informatics . He collaborates with institutions such as IBM Research , Northwestern University's Feinberg School , and Universidade de Lisboa .

Andrea Carnaghiمشاهده پروفایل

استاد

• Social Psychology
• Intergroup Relations
• Stereotyping and Prejudice
• +۴ مورد دیگر

Andrea Carnaghi is a Full Professor in Social Psychology at the University of Trieste, with a focus on intergroup relations and social cognition. He holds key roles in doctoral programs (Coordinator for Neural and Cognitive Sciences, Cycles XXXVIII-XXXIX) and serves on multiple Boards of Studies. Education: Ph.D. in Psychological Science (Catholic University of Louvain, 2004); Clinical Psychology degree (University of Padova, 2000) Research Interests His work spans: Language's role in social perception (noun vs adjective effects) Homophobic epithets and their impact on prejudice Objectification of women and neural correlates Bullying/cyberbullying prevention programs Stereotype revision and acculturation barriers for immigrants Scientific Recognitions IAS Fellowship (University of Surrey, 2018) Gordon Allport Prize (2008) for intergroup research He supervises a research group analyzing social exclusion, dehumanization, and hormone-behavior interactions, with funding from Regione Friuli Venezia Giulia and national grants.

Michael Amslerمشاهده پروفایل

پژوهشگر

• Automated Media Content Analysis
• Political Communication
• Social Media Analysis
• +۳ مورد دیگر

Michael Amsler is a Researcher at the University of Zurich’s Institute of Mass Communication and Media Research, part of the Faculty of Arts. He holds dual roles as a Postdoctoral Scholar in Media Research and a Research Assistant in the Department of Computational Linguistics (Innosuisse Project ReAdvisor). His research focuses on automated media content analysis, political communication, and computational linguistics applications in social media environments. Amsler earned his MA in Mass Communication and Media Research (2012) and completed his PhD in the NCCR Democracy project (2020). Education: MA 2012 (UZH), PhD 2020 (UZH) Affiliations: Institute of Mass Communication, Department of Computational Linguistics, ARGUS der Presse AG (2013-2020) His work bridges computational methods with political communication studies, analyzing media framing of governance, populist strategies, and emotionalized discourse. Key projects include SIFT (media coverage toolkit) and ReAdvisor (innosuisse NLP project). His publications span sentiment analysis frameworks, verb-based polarity classification, and social media’s role in amplifying political anger. Notable contributions include developing Sentiframes (verb-centric German sentiment resources) and exploring how alternative media drive polarized reactions. His research emphasizes automated tools for analyzing governance legitimacy and public accountability through language technologies.

Peter O'Hearnمشاهده پروفایل

استاد

• Separation Logic
• Program Verification
• Static Analysis
• +۵ مورد دیگر

Peter O'Hearn is a Professor of Computer Science at University College London and Research Scientist at Meta AI (FAIR), renowned for co-developing separation logic which bridges theoretical computer science and industrial-scale program analysis. His dual affiliation exemplifies the synergy between academic research and practical tool development that characterizes his career. His research interests focus on program verification , separation logic , static analysis , and his recent groundbreaking work on incorrectness logic as a complementary approach to traditional verification. O'Hearn pioneered the concept of local reasoning which enables modular verification of large codebases by focusing only on relevant memory regions, forming the theoretical foundation for Facebook Infer. His publications reveal a consistent trajectory from foundational theory to industrial application, with recent work emphasizing Scalable verification for million-line codebases Compositional reasoning for concurrent systems Practical deployment of formal methods in developer workflows Bug-oriented reasoning through incorrectness logic His research consistently addresses the tension between theoretical soundness and practical applicability in program analysis. Notable scientific awards include: 2021 IEEE Cybersecurity Award for Practice 2016 Gödel Prize for separation logic 2016 CAV Award for outstanding contributions POPL 2019 Most Influential Paper Award Fellow of the Royal Society (FRS) Fellow of the Royal Academy of Engineering (FREng) O'Hearn has made substantial contributions to industrial practice through Facebook Infer, which analyzes millions of lines of code daily across Meta's codebase. His work on continuous reasoning integrates formal verification into developer workflows, while his recent focus on incorrectness logic addresses the critical need for effective bug detection in large systems. He maintains active leadership in the programming languages community through conference organization and keynotes.