جست‌وجوی استاد و پژوهشگر

Ryan Heuserمشاهده پروفایل

استادیار

• Digital Humanities
• Computational Prosody
• Literary and Intellectual History
• +۵ مورد دیگر

Ryan Heuser is an Assistant Professor in Digital Humanities at the University of Cambridge, specializing in computational approaches to literary and intellectual history, prosody, and artificial intelligence's impact on language. His work bridges data science, machine learning, and literary studies through digital methodologies. Doctoral training in Eighteenth-Century British Literature, Stanford University (2019) Founding member & Associate Research Director, Stanford Literary Lab Junior Research Fellow, King’s College Cambridge (2019-2022) Research interests span computational modeling of semantic revolutions, large-scale literary field analysis, and the intersection of digital methods with historical and intellectual studies. His book Explorations in the Digital History of Ideas (2023) co-edited with Peter de Bolla exemplifies this approach. Recent publications focus on historical semantics, metrical analysis, and digital mapping of emotions in literature, reflecting his interdisciplinary expertise in natural language processing, network theory, and literary data visualization. Currently leads teaching initiatives at Cambridge Digital Humanities and contributes to computational projects exploring textual rhythms and large language models.

Haiyan Leeمشاهده پروفایل

استاد

• Modern Chinese literature
• Chinese popular culture
• philosophy and literature
• +۹ مورد دیگر

Haiyan Lee serves as the Walter A. Haas Professor of the Humanities and Professor of East Asian Languages and Cultures and of Comparative Literature at Stanford University. She has held these positions since joining Stanford in 2009, and currently serves as Chair of the East Asian Languages and Cultures department (2020-present). Her academic journey includes previous teaching appointments at the University of Colorado at Boulder and the University of Hong Kong, along with post-doctoral fellowships at Cornell University and Harvard University. Lee's research spans multiple interdisciplinary fields with particular focus on modern Chinese literature and cultural production. Her work bridges literary studies with law, philosophy, cognitive science, affect theory, gender studies, and environmental humanities. She has developed influential theoretical frameworks including the concept of "high justice" and "low justice" in Chinese legal imagination. Her current research explores animism, cognition, and the Chinese environmental imagination, extending her longstanding interest in human-animal relations. Lee's publications reveal a consistent trajectory examining Chinese cultural production through innovative theoretical lenses. Her recent work shows increasing engagement with legal theory, environmental humanities, and cognitive approaches to literature. She has produced significant scholarship on Chinese concepts of justice, love, and the stranger, moving across historical periods from early 20th century to contemporary China. Biennial Book Prize, Honorable Mention, International Society for Chinese Law and History (ISCLH) (2024) Humanities Seed Grant, Stanford School of Humanities and Sciences (2023-2025) Bass Fellowship in Undergraduate Education, Stanford University (2022-2027) Joseph Levenson Book Prize, The Association for Asian Studies (2009) Professor Lee actively mentors doctoral students across multiple disciplines, serving as dissertation advisor, co-advisor, and committee member for students working at the intersection of Chinese studies, law, literature, and cultural theory. Her teaching includes courses across East Asian humanities, comparative literature, and interdisciplinary environmental studies. She has received significant research support including the Frederick Burkhardt Residential Fellowship from the American Council of Learned Societies and a residency at the Center for Advanced Study in the Behavioral Sciences.

• Linguistics
• Cognitive Linguistics
• Discourse Analysis
• +۴ مورد دیگر

Prof. Dr. Sakibe Nalan BÜYÜKKANTARCIOĞLU is a Professor at Çankaya University, Faculty of Arts and Sciences, Department of Translation and Interpreting Studies (English). She previously served as Professor (2007–2019), Associate Professor (2000–2007), and Assistant Professor (1997–2000) at Hacettepe University, Department of English Linguistics. PhD in English Linguistics (Hacettepe University, 1991) MA in English Language Teaching (Middle East Technical University, 1985) BA in English Teaching (Istanbul University, 1978) Her research spans Linguistics, Cognitive Linguistics, Discourse Analysis, Psycholinguistics, Sociolinguistics, Translation Studies , with a focus on figurative language, interjections, political discourse, and endangered languages. She received the European Language Award (2011) and has supervised numerous PhD and MA theses, including work on Turkish idioms, gender representation, and language awareness. A prolific editor and conference participant, she has contributed to interdisciplinary projects and publications on Turkish sociolinguistics.

• Speech and Audio Processing
• Behavioral Signal Processing
• Real-Time MRI of Speech Production
• +۴ مورد دیگر

Shrikanth (Shri) Narayanan is a University Professor and holder of the Niki and Max Nikias Chair in Engineering at the University of Southern California (USC), serving as the inaugural Vice President for Presidential Initiatives. He leads the Signal Analysis and Interpretation Lab (SAIL) and holds joint appointments in Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics, and Otolaryngology-Head and Neck Surgery. His research focuses on speech and audio processing, behavioral signal processing, and real-time MRI of speech production, with applications in healthcare, education, and technology. Education: B.E. in Electrical Engineering from College of Engineering, Guindy (Chennai, India, 1988); M.S., Engineer, and Ph.D. in Electrical Engineering from UCLA (1990, 1992, 1995). Research interests span computational linguistics, machine learning, and multimodal human behavior analysis. He pioneered technologies for speech biomarkers in mental health, real-time MRI of speech production, and wearable sensor systems for longitudinal health studies. His work in speech emotion recognition, forensic interviews, and clinical applications has been recognized through over 40 awards, including the IEEE Flanagan Award and ISCA Medal. He has published extensively in journals like Proceedings of the IEEE , Journal of the Acoustical Society of America , and PLOS One . Key Grants: NSF CAREER, Okawa Research, IBM Faculty, Google/Amazon awards. Labs/Teams: Signal Analysis & Interpretation Lab (SAIL), USC Information Sciences Institute (ISI), Google Visiting Faculty Researcher.

Jerrica Ty Rowlettمشاهده پروفایل

استادیار

• Social Media
• Identity
• Civic Engagement
• +۱ مورد دیگر

Jerrica Ty Rowlett serves as an Assistant Professor of Communication and Language Studies within the College of Arts and Sciences at Bryant University, where she examines digital communication's societal implications through research and teaching in digital culture and social media dynamics. Education Ph.D., Florida State University M.A., Clemson University B.A., Georgetown College Her research program investigates identity formation, civic engagement, and digital inequity through critical analysis of social media platforms. She explores how digital environments shape interpersonal relationships, political discourse, and community building while addressing power dynamics in online spaces, with particular attention to abusive contexts, gender representation, and emotional experiences. Analysis of her publication record (2015-2024) reveals a consistent trajectory examining social media's evolving societal impact. Early work focused on educational applications and youth culture, progressing to sophisticated analyses of political meme culture, relationship dissolution in abusive contexts, and emotional contagion online. Her scholarship demonstrates increasing attention to social justice dimensions within digital communication. Scientific Awards No awards documented in current sources Advising and Grants Student advising details and research grant information are not specified in available materials, though her extensive publication record indicates active scholarly mentorship and research productivity. Labs and Teams No dedicated research laboratories or formal collaborative teams are mentioned in the provided information.

• Human-Computer Interaction
• Learning Sciences
• Educational Technology
• +۲ مورد دیگر

Jennifer Olsen, PhD, is an Assistant Professor of Computer Science at the University of San Diego since 2020. She holds a PhD, MS, and BS in Human-Computer Interaction and Cognitive Science from Carnegie Mellon University, followed by postdoctoral research at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. Her research focuses on the intersection of human-computer interaction, cognition, and education, emphasizing collaborative learning and educational technology design from both learner and instructor perspectives. Education: PhD in Human-Computer Interaction, Carnegie Mellon University MS in Human-Computer Interaction, Carnegie Mellon University BS in Cognitive Science, Carnegie Mellon University Research Interests: Dr. Olsen explores how collaboration supports learning, designs technologies to enhance educational practices, and investigates gaze-based metrics for understanding collaborative problem-solving. Her work spans gamified robotics, AI-driven orchestration systems, and virtual reality applications in vocational training. She emphasizes learner-centered design and the integration of social robots and virtual agents in pedagogical settings. Grants/Advising: While no specific grants or advisees are listed, her prolific publication record indicates active involvement in educational technology research and development. Her work addresses challenges in classroom orchestration, multimodal data analysis, and accessibility in educational robotics. Labs/Teams: Collaborates with interdisciplinary teams focused on educational technology, human-robot interaction, and adaptive learning systems. Her research leverages tools like FROG orchestration graphs and eye-tracking technologies to develop practical classroom solutions.

David Bammanمشاهده پروفایل

دانشیار

• Natural Language Processing
• Cultural Analytics
• Computational Social Science
• +۳ مورد دیگر

David Bamman is an Associate Professor in the School of Information at UC Berkeley, specializing in applying Natural Language Processing (NLP) and machine learning to cultural and social science questions. He leads research in born-literary NLP, computational humanities, and cultural analytics, with affiliated roles in EECS, Linguistics, and Computational Precision Health. Bamman holds degrees from Carnegie Mellon (Ph.D., 2015), Boston University (M.A., 2006), and University of Wisconsin-Madison (B.A., 1998). His work is supported by NEH, NSF, and industry grants. Educations: Ph.D. in Computer Science (2015), Carnegie Mellon University M.A. in Applied Linguistics (2006), Boston University B.A. in Classics (1998), University of Wisconsin-Madison Research Interests: NLP for underserved domains (e.g., literature, social media), coreference resolution, cultural analytics, and computational methods for studying literature and culture. Projects include LitBank and BookNLP datasets. Grants & Awards: Hellman Fellow (2019), Amazon Research Award (2017), NSF CAREER Award, and NEH funding. Teaching: Courses include Natural Language Processing (Info 159/259), Computational Humanities (INFO 190), and Applied NLP (INFO 256). His research group explores topics like racial representation in high school literature, Hollywood diversity metrics, and the sociocultural implications of LLMs. Bamman advises multiple PhD students and collaborates on datasets like CMU Book Summaries and 11K Latin Books.

Walid Magdyمشاهده پروفایل

استاد

• Computational Social Science
• Natural Language Processing
• Social Content Analysis
• +۸ مورد دیگر

Walid Magdy is a Professor at the School of Informatics, The University of Edinburgh, where he is a faculty member at the Institute for Language, Cognition and Computation (ILCC). He holds a PhD from Dublin City University's School of Computing and has been a faculty fellow at The Alan Turing Institute. With substantial industry experience, he has worked for Qatar Computing Research Institute (QCRI), Microsoft, and IBM, where he filed nine patents. His research spans computational social science and natural language processing. In computational social science, he focuses on social content analysis, political bias detection, polarization, and users' behavior analysis/prediction, with particular attention to understudied communities. His natural language processing work centers on social applications including sentiment analysis, sarcasm detection, and hate-speech identification, with specialized expertise in Arabic and its dialects as well as Persian. Professor Magdy's recent publications demonstrate a consistent focus on Arabic language processing and social media analysis, with growing attention to cultural factors in NLP systems. His work bridges computational methods with social science questions, particularly regarding misinformation, cultural differences in online behavior, and the impact of platform policies on diverse linguistic communities. He has expanded his research to include Persian language processing and continues to explore social dynamics across different cultural contexts. His significant contributions have been recognized with multiple awards: Best Demo Award for TwiXplorer at CSCW 2024 Outstanding Paper Award at ACL 2024 Best Paper Award Runner-up at SocInfo 2022 Best Paper Award at WANLP-EMNLP 2022 Best Paper Award at AIRS 2015 Best Dataset Award at ICWSM 2013 Professor Magdy serves as an editor for Springer's Social Network Analysis and Mining journal and has held leadership roles in major conferences including ACL 2023, ArabicNLP 2023, ICWSM 2022, and ASONAM 2022. He has co-organized numerous shared tasks focused on Arabic language processing and social media analysis, contributing significantly to community resources and benchmarks. He founded and directs the Social Media Analysis and Support for Humanity (SMASH) research group at the University of Edinburgh, which has organized the Summer School in Computational Social Science (SICSS-Edinburgh) in 2022, 2023, and 2025, training researchers in computational social science methodologies.

Robin Jiaمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Robin Jia is an Assistant Professor in the Thomas Lord Department of Computer Science at the University of Southern California (USC) , where he leads the AI, Language, Learning, Generalization, and Robustness (Allegro) Lab . His research focuses on enhancing the reliability and robustness of large language models (LLMs) through mechanistic understanding, benchmarking under distribution shifts, and neurosymbolic integration. Key affiliations include collaborations with the USC Keck School of Medicine and contributions to legal frameworks like the EU's Digital Services Act. Robin's research spans multiple domains, including: Scientific analysis of LLM capabilities in in-context learning , data memorization , and numerical reasoning Advancements in robust NLP systems , emphasizing uncertainty estimation and calibration Development of methods combining LLMs with symbolic solvers for complex reasoning tasks Interdisciplinary applications in medicine and law , such as privacy-preserving synthetic data generation and medical misconception evaluation . His recent publications (2024-2025) address Fourier-based numerical embeddings (NeurIPS), neurosymbolic planning (NAACL), and multimodal benchmarking (COLM), with a strong emphasis on privacy , fairness , and transparency . Scientific awards include the Google Research Scholar Award (2023) , SoCalNLP Symposium Best Paper Awards , and ACL/EMNLP outstanding papers . He advises PhD students like Johnny Wei and Ameya Godbole, and has secured grants from the NSF , USC-Capital One , and USC-Amazon .

Tanzeem Choudhuryمشاهده پروفایل

استاد

• Ubiquitous Computing
• Mobile Sensing Systems
• Wearable Technology
• +۴ مورد دیگر

Tanzeem Choudhury is a Professor at the Jacobs Technion-Cornell Institute at Cornell Tech, specializing in Information Sciences. She co-founded HealthRhythms Inc. and directs the People-Aware Computing lab, focusing on machine learning for human activity and social network analysis. Her work pioneered the 'Reality Mining' field, leveraging mobile sensors to model social interactions. Choudhury holds a Ph.D. from MIT's Media Lab and B.S. in Electrical Engineering from the University of Rochester. Her research spans wearable tech, mental health interventions, and ubiquitous computing. Notable projects include affective touch wearables for anxiety reduction, stress detection systems (e.g., StressSense), and the BeWell app for well-being monitoring. Choudhury has been recognized as an ACM Fellow and SIGCHI Academy member, with impactful contributions to healthcare technology and sensor-based behavioral analysis. Current lab initiatives include developing closed-loop interventions for mental health, equity-driven sensing systems, and exploring AI integration in psychotherapy. She advises PhD students on topics like digital biomarkers, burnout detection in healthcare workers, and smartphone-based mental health assessment. Education: Ph.D. in Media Arts & Sciences (MIT), M.S. (MIT Media Lab), B.S. in Electrical Engineering (University of Rochester) Lab Team: Includes PhD candidates (Dan Adler, Yiran Zhao) and researchers focusing on health AI, wearable devices, and clinical applications. Major Awards: ACM Fellowship (2020), SIGCHI Academy (2018), Best Paper Awards at Ubicomp and MobileHCI conferences. Key Projects: OptoBeat (skin-tone calibrated blood oxygen sensor), EmotionCheck (anxiety intervention), and Affective Touch devices.

Kaya de Barbaroمشاهده پروفایل

دانشیار

• Developmental Psychology
• Clinical Psychology
• Social Interactions
• +۵ مورد دیگر

Dr. Kaya de Barbaro is an Associate Professor in the Department of Psychology at the University of Texas at Austin (College of Liberal Arts). She holds a Ph.D. from the University of California San Diego. Her research focuses on bridging computer science and developmental/clinical psychology, particularly maternal mental health and infant social-emotional development. She directs the Daily Activity Lab, which uses mobile/wearable sensors and machine learning to analyze real-world interactions, aiming to develop just-in-time interventions for new mothers. Key research areas include maternal-infant dynamics, physiological synchronization, and the impact of environmental chaos on development. She has pioneered methods for analyzing high-density data, such as Granger causality and machine learning algorithms to detect behaviors like crying and holding. Recent work emphasizes leveraging ecological momentary assessment surveys and 24-hour LENA audio recordings to understand proximal mechanisms of development. Dr. de Barbaro teaches Psychology 333D (Introduction to Developmental Psychology) and has developed curricula for both in-person and online formats. She is actively involved in training students through the Eureka program at UT Austin. Her lab collaborates on tools like chatbots for postpartum mental health and has published extensively on sensor-based methodologies in developmental science.

Maja J Matarićمشاهده پروفایل

استاد

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +۷ مورد دیگر

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

Tijana Gajićمشاهده پروفایل

پژوهشگر

• Language Education
• Digital Learning Tools
• Foreign Language Acquisition
• +۴ مورد دیگر

Tijana Gajić is a researcher at Singidunum University in Belgrade, Serbia. She holds a Ph.D. in Philology (2020), an MA in English Language and Literature (2009), and a BA in the same field (2007) from the University of Belgrade. Her work focuses on the intersection of language education, digital tools, and critical pedagogy. Doctoral Studies: Philology , University of Belgrade (2017-2020) Master Studies: English Language and Literature , University of Belgrade (2008-2009) Bachelor Studies: English Language and Literature , University of Belgrade (2003-2007) Dr. Gajić’s research explores the impact of digital technologies on language acquisition, critical thinking development, and the sociopolitical dimensions of English language learning. She has published extensively on mobile applications like Duolingo, HelloTalk, and WordUp, analyzing their efficacy in modern pedagogy. Her recent publications (2024-2025) examine digital tools’ influence on language education, critical pedagogy in Serbian classrooms, and AI-driven language learning innovations. Earlier works (2020-2016) established her expertise in tandem learning, vocabulary enhancement via apps, and affective factors in language acquisition. Notable collaborations include partnerships with researchers like N. Maenza , A. Gagić , and J. Nikolić . While no specific grants or awards are mentioned, her involvement in conferences such as Sinteza and ELTA Serbia underscores her active role in advancing language education. Her 2022 book, Nastava stranih jezika i razvoj kritičkog mišljenja u eri neoliberalizma , synthesizes her critical pedagogy framework. Current projects likely continue her focus on digital transformation in language teaching.

Mathevon Nicolasمشاهده پروفایل

استاد

• Biology
• Ethology
• Animal Behavior
• +۳ مورد دیگر

Nicolas Mathevon is a Professor at the University of Saint-Etienne and a Senior Member of the Institut universitaire de France (IUF). His research focuses on bioacoustics and animal communication, spanning from marine mammals to birds. He has held visiting positions at Hunter College (City University of New York) and the University of California, Berkeley. Education Habilitation à diriger les Recherches (2002, University of Saint-Etienne) PhD (1996, University of Lyon 1) Master's Degree (ranked 2nd, University of Lyon 1) Agrégation in Life and Earth Sciences (ranked 8th) Mathevon's research explores how animals use sound for social interactions, mate selection, and environmental adaptation. His work bridges bioacoustics, neuroethology, and behavioral ecology, with a focus on decoding vocal signals' complexity. His publications cover diverse topics including animal soundscapes, vocal memory in seals, and neural encoding of communication calls. The articles highlight interdisciplinary approaches combining neuroscience, behavioral studies, and acoustic signal analysis. Scientific Awards Prose Award for Excellence in Biological and Life Sciences, AAP (2024) Chevalier des Palmes Académiques (2017) IUF Senior Member (2015-present) IUF Junior Member (2005-2010) Mathevon has supervised 17 PhD students, 10 postdocs, and contributed to public outreach through media, documentaries, and public lectures. He leads the International Master of Bioacoustics program and serves as President of the International BioAcoustic Society.

Mary Bucholtzمشاهده پروفایل

استاد

• Sociocultural Linguistics
• Language and Identity
• Language and Race
• +۱۰ مورد دیگر

Mary Bucholtz is a Professor in the Department of Linguistics at the University of California, Santa Barbara (UCSB). She holds affiliations with multiple departments including Anthropology, Feminist Studies, Spanish and Portuguese, the Gevirtz Graduate School of Education, Comparative Literature, and Latin American and Iberian Studies. Her research integrates sociocultural linguistics with anthropological, gender, and social justice frameworks. Education: PhD in Linguistics, University of California, Berkeley (1997) Bucholtz's work examines how language shapes and is shaped by social identities, particularly among youth, through dimensions like race, gender, and cultural practices. She emphasizes community-centered research , linguistic activism , and interdisciplinary methodologies to address systemic inequalities. Recent publications explore affective agency in Latinx youth, educational equity, and antiracist linguistics. Her collaborative projects often involve partnerships with educational institutions and youth communities in California, focusing on translanguaging , Black language justice , and raciolinguistic ideologies . Grants from the National Science Foundation, Spencer Foundation, and Wenner-Gren Foundation support her research. She co-edited the open-access volumes Decolonizing Linguistics and Inclusion in Linguistics (Oxford University Press, 2024), alongside authoring White Kids: Language, Race, and Styles of Youth Identity (Cambridge, 2011) and Talking College: Making Space for Black Language Practices in Higher Education (Teachers College Press, 2022).