جست‌وجوی استاد و پژوهشگر

Andrew Ollettمشاهده پروفایل

دانشیار

• Poetics
• History of Literature
• Intellectual History
• +۹ مورد دیگر

Andrew Ollett is an Associate Professor and Director of Graduate Studies in the Department of South Asian Languages and Civilizations at the University of Chicago , where he has taught since 2019. His research focuses on the literary and intellectual traditions of South and Southeast Asia, particularly through works in Sanskrit, Prakrit, Apabhramsha, and Kannada from the first millennium CE. Co-founder and editor of NESAR (New Explorations in South Asia Research) Director of NEH-funded edition/translation of the Kavirājamārga (earliest Kannada literary manual) Expert in Prakrit and Kannada literary traditions His work explores the 'question of language'—examining how language choice shaped cultural production and change in premodern India. Current projects include a monograph on context-sensitivity in Indian language theories and a study of manuscript technology's impact on early South Asian knowledge communities. He has authored The Mirror of Ornaments (Naples: Unior Press, 2025) and Language of the Snakes (UC Press, 2017), and co-authored Lilavai (Harvard, 2021). Recent publications include interdisciplinary studies on: Sanskrit-Prakrit campū genre reevaluation Pragmatics in Mīmāṁsā interpretive concepts Manuscript literacy's influence on literary forms Historical linguistics of Middle Indic syllable reduction Philosophy of language in Śālikanātha and Kumārila Bhaṭṭa Awarded the NEH 'Scholarly Editions and Translations' grant , he teaches classical South Asian literature courses covering Sanskrit, Prakrit, and Tamil traditions. He maintains digital resources including a Prakrit Digital Texts Project and Mīmāṁsādigdarśinī digital text repository, and actively contributes to open-access scholarship.

Vincent Fortuinمشاهده پروفایل

استادیار

• Bayesian Deep Learning
• Uncertainty Quantification
• Probabilistic Inference
• +۵ مورد دیگر

Dr. Vincent Fortuin is a tenure-track Assistant Professor at the Technical University of Munich (TUM) and a research group leader at Helmholtz AI in Munich. He leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group and holds multiple prestigious fellowships including the Branco Weiss Fellowship. His academic affiliations include the TUM School of Computation, Information and Technology, the Konrad Zuse School of Excellence in Reliable AI, and the Munich Center for Machine Learning. Dr. Fortuin earned his BSc in Molecular Life Sciences from the University of Hamburg (2012-2015), followed by an MSc in Computational Biology and Bioinformatics from ETH Zürich (2015-2017), where he received the ETH Excellence Scholarship and the Willi Studer Prize. He completed his PhD in Machine Learning at ETH Zürich (2017-2021) under the supervision of Gunnar Rätsch and Andreas Krause, supported by a Swiss Data Science Center PhD Fellowship. Prior to joining TUM, he was a Research Fellow at St. John's College, University of Cambridge (2022-2023). His research focuses on the intersection of Bayesian statistics and deep learning, specifically developing methods for more robust, data-efficient AI systems with reliable uncertainty estimates. His work addresses critical limitations in standard deep learning approaches, particularly their tendency to be overconfident in predictions and require large datasets for training. He investigates better priors and more efficient inference techniques for Bayesian deep learning, deep generative modeling, meta-learning, and PAC-Bayesian theory, with applications in scientific and biomedical domains. Dr. Fortuin's recent publications demonstrate a consistent focus on improving uncertainty quantification in deep learning systems, with increasing emphasis on practical applications in scientific contexts. His work spans from theoretical foundations of Bayesian deep learning to practical implementations in protein design, materials science, and medical applications. A notable trend is his exploration of how to make Bayesian methods more scalable and applicable to modern large-scale AI systems while maintaining theoretical guarantees. Branco Weiss Fellowship (2023) St John's College Research Fellowship (2022) Swiss National Science Foundation Postdoc.Mobility Fellowship (2022) Swiss Data Science Center PhD Fellowship (2018) ETH Excellence Scholarship (2015) Willi Studer Award (2018) Dr. Fortuin actively supervises PhD and Master's students through his ELPIS research group at Helmholtz AI. He serves as a regular reviewer and area chair for major machine learning conferences and is an action editor for TMLR. He co-organizes the Symposium on Advances in Approximate Bayesian Inference (AABI) and the ICBINB initiative, demonstrating his commitment to advancing the field through community building. His research group receives funding from multiple sources including Helmholtz AI, the Branco Weiss Fellowship, and collaborations with international institutions. Dr. Fortuin leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group at Helmholtz AI, which focuses on fundamental machine learning research motivated by real-world scientific problems. The group collaborates extensively with researchers across Helmholtz centers and international institutions, particularly in biomedical applications where reliable uncertainty estimates are crucial.

Min Zhouمشاهده پروفایل

استاد

• Migration and development
• Race and ethnicity
• Chinese diaspora studies
• +۲ مورد دیگر

Min Zhou is a Distinguished Professor of Sociology and Asian American Studies at UCLA, and Director of the UCLA Asia Pacific Center. She holds the Walter & Shirley Wang Endowed Chair in U.S.-China Relations and Communications. A member of both the National Academy of Sciences and the American Academy of Arts and Sciences, her work focuses on migration studies, race and ethnicity, and Chinese diasporas. She previously directed the UCLA Asian American Studies Department (2001-2005) and served as Tan Lark Sye Chair Professor at Nanyang Technological University, Singapore (2013-2016). Her research explores transnationalism, immigrant entrepreneurship, ethnic supplementary education, and China’s internal migration dynamics. Notable publications include Chinatown (1992), The Asian American Achievement Paradox (2015), and Contemporary Chinese Diasporas (2017). She has received major awards such as the 2017 ASA Distinguished Career Award and the 2016 Bourdieu Prize for sociology of education. Education: Ph.D., Sociology, State University of New York at Albany Key Grants: Russell Sage Foundation grants (2005-09), Singapore Ministry of Education Tier 2 grant (2016-21) Labs/Teams: Directs the UCLA Asia Pacific Center; collaborates with global scholars on projects like 'Immigration and Integration in the Pacific Rim'

Yuuko Uchikoshi Tonkovichمشاهده پروفایل

استاد

• Early Childhood
• Multilingual Learners
• Bilingualism and Bilingual Education
• +۱۲ مورد دیگر

Yuuko Uchikoshi Tonkovich is a Professor at the School of Education, University of California, Davis, where she has served since 2004, advancing from Assistant to Associate and then to full Professor. Her work centers on language and literacy development in young dual language learners, with a focus on bilingualism, early literacy, and the role of family and media in language acquisition. Her research interests include: Early Childhood Development Multilingual Learners and Bilingual Education Language Acquisition and Literacy Parent-Child Interaction and Home Language Environment Quantitative Analysis of Educational Outcomes Educational Television and Multimedia Her recent publications span topics such as cognitive distancing in parent-child reading, morphological awareness in bilingual readers, and the impact of teacher language use in multilingual classrooms. The research consistently emphasizes longitudinal, cross-cultural, and interdisciplinary approaches, particularly focusing on Chinese American and Mexican American immigrant families. Her scientific awards include: AERA Vocabulary SIG Notable Vocabulary Researcher Award (2025) Foundation for Child Development Young Scholars Program Grant International Reading Association Dissertation Fellowship and Finalist Award Harvard Graduate School of Education Fellowships She has advised numerous research projects and secured significant funding from NIH/NICHD, the Foundation for Child Development, and other organizations. She teaches courses such as Language Development, Early Literacy, and Research on Text Comprehension. She is actively involved in national initiatives, serving on the Technical Advisory Group for the First 5 California Dual Language Learner Study and as Associate Editor of Applied Psycholinguistics . She leads the Language & Literacy Development Lab at UC Davis, which investigates the cognitive, linguistic, and socio-emotional development of dual language learners.

Pia Knoeferleمشاهده پروفایل

استاد

• Psycholinguistics
• Language Processing
• Register Studies
• +۷ مورد دیگر

Prof. Dr. Pia Knoeferle is a leading academic at Humboldt-Universität zu Berlin , where she serves as a Professor in the Department of German Language and Linguistics . She is a principal investigator in the Collaborative Research Center (CRC 1412) focused on register phenomena and leads the Reaction Time, Eye-tracking, and EEG Laboratories . Her research spans psycholinguistics , cognitive neuroscience , and computational modeling of language , with a central interest in how real-time language comprehension interacts with social context , formality-register congruence , and morphosyntactic processing . Appointments: Professor at Humboldt-Universität (2024), CRC 1412 member Methodologies: Eye-tracking, EEG, Visual World Paradigm, ERP Her work investigates lifespan language processing (children, adults, older adults) through contextual cue integration , including emotional , spatial , and social context such as gender cues , eye gaze , and facial expressions . Key questions include: How do pragmatic and contextual factors modulate lexical and grammatical processing ? What representations underlie register sensitivity in spoken and written comprehension ? Recent articles (2022-2024) focus on register congruence effects in German sentence processing, age-related differences in formality-register anticipation , and interactions between register and morphosyntactic knowledge . Using eye-tracking and visual world paradigms , her team examines incremental integration of socially-situated context with verb-argument relations and grammatical constraints . Findings suggest subtle late-stage register effects and interference between pragmatic and syntactic processing . Her lab collaborates with researchers like Katja Maquate , Valentina Nicole Pescuma , and Camilo Ronderos , contributing to the Frame text of the Second Phase Proposal for CRC 1412 (2020) and subsequent reviews in Frontiers in Psychology (2023). The work emphasizes complementary methods to model register variability across languages , modalities , and cultural contexts .

Peter Gordonمشاهده پروفایل

دانشیار

• Language Acquisition
• Developmental Neuroscience of Language and Cognition
• Cross-cultural Studies of Numerical Cognition
• +۳ مورد دیگر

Peter Gordon is an Associate Professor of Neuroscience and Education and Cognitive Science in Education at Teachers College, Columbia University. He directs the Language and Cognitive Neuroscience Lab and holds affiliations with Biobehavioral Sciences, Human Development, and other departments. His research focuses on language acquisition, developmental neuroscience, cross-cultural numerical cognition, and MRI-based studies of language processing. Dr. Gordon earned a B.A. (Hons) in Psychology from the University of Stirling (Scotland) and a Ph.D. in Psychology from MIT. His fieldwork includes extensive studies with the Piraha in Amazonia, Brazil, and the Kadiweu in Mato Grosso do Sul, Brazil. His research interests span infant event representations, behavioral genetics of language, and the interplay between language structure and cognitive development. Notable contributions include work on anumeric cultures and the linguistic relativity hypothesis. Publications highlight cross-cultural studies, morphological processing, and cognitive neuroscience of language. He has conducted influential research on numerical cognition in Amazonian cultures and the genetic influences on language acquisition. Contact: pg328@tc.columbia.edu | Office: 1152 Building 528 | Lab: [Link Provided].

Paul Taeleمشاهده پروفایل

عضو هیئت علمی

• Sketch Recognition
• Human-Computer Interaction (HCI)
• Artificial Intelligence
• +۵ مورد دیگر

Paul Taele is an Instructional Assistant Professor and Deputy Lab Director in the Sketch Recognition Lab at Texas A&M University's Department of Computer Science & Engineering. He holds a Ph.D. (2019), M.S. (2010), and dual B.S. degrees in Computer Science and Mathematics from the University of Texas at Austin (2006). His research focuses on sketch recognition, haptics, and intelligent interfaces for education and accessibility, with notable work in mid-air gesture recognition, educational sketching tools, and assistive technologies for disabilities. He has contributed to projects like Kanji Workbook , Hashigo , and HaptiMoto , and has published over 50 peer-reviewed articles across venues like CHI, IUI, and AAAI. Taele has received awards including the NSF Student Travel Grant (2014) and Ford Foundation Honorable Mention (2015). He teaches courses in capstone design, programming, and sketch recognition, and mentors students across all academic levels through strict eligibility criteria for research collaborations. Education : Ph.D. Computer Science, Texas A&M University (2019) M.S. Computer Science, Texas A&M University (2010) B.S. Computer Science & Mathematics, University of Texas at Austin (2006) Concentration in Mandarin Chinese, National Chengchi University (2007) Research Interests : Taele's work bridges HCI and AI to create accessible educational interfaces. His projects emphasize: Sketch Recognition : Developing algorithms for mid-air gestures, children's developmental assessments, and language learning Accessibility : Haptic systems for visually impaired learners and algebra education Educational Tech : Intelligent tutoring systems for music, math, and East Asian languages Awards & Grants : EAAI-20 Travel Grant (2020) Ford Foundation Dissertation Honorable Mention (2015) NSF East Asia-Pacific Summer Institutes (2013, 2012) Royce E. Wisenbaker Fellowship (2009) Lab & Teams : Director of the Sketch Recognition Lab (SRL) and collaborator with global institutions like Singapore Management University and National Taiwan University. Active in organizing workshops like SketchRec at IUI conferences.

Nemanja Stanišićمشاهده پروفایل

استاد

• Corporate Finance
• Banking
• Audit
• +۳ مورد دیگر

Dr. Nemanja Stanišić is a Full Professor at Singidunum University's Faculty of Business, with a distinguished academic career spanning over 15 years. He holds a Ph.D. in Corporate Finance from Singidunum University (2010), an MBA in Finance from Lincoln University (2007), and a Bachelor's in Accounting from the University of Belgrade (2005). His expertise focuses on Corporate Finance, Banking, Audit, and Applied Statistical Analysis. His research integrates quantitative methods with economic theory, addressing topics such as audit opinion prediction using AI, tourism destination competitiveness, financial distress dynamics, and air pollution health impacts. He co-authored textbooks including Contemporary Exchange and E-business (2010) and Financial Statement Analysis (2024), and served as Editor-in-Chief of The European Journal of Applied Economics . He teaches courses from Financial Accounting to Advanced Financial Engineering at undergraduate, master's, and Ph.D. levels. The 15 most recent publications highlight his interdisciplinary approach: 7 in Finance/Audit, 5 in Tourism/Hospitality, and 3 in Environmental Health. Key trends include applying machine learning to audit quality (2023), multilevel modeling for hospitality satisfaction (2015-2019), and air pollution mortality analysis (2016). His work appears in high-impact journals like Tourism Management (IF 10.125) and Environmental Health (IF 4.986). He held administrative roles including Rector (2020-2021) and Vice President of Singidunum University. He served as Vice Dean for Student Affairs (2010-2011) and participated in TEMPUS projects for educational reform. He mentors graduate students extensively, advising 100+ bachelor's, 57 master's, and 4 doctoral theses, including international candidates. His visiting professorship at Bangkok's ICO NIDA and teaching in Austria-Singidunum joint programs reflect global engagement. Professional development includes advanced training at Utrecht University (Bayesian Modeling, 2019), Stanford (Mentoring, 2010), and NYU (Valuation, 2012). He reviews for top journals like Annals of Tourism Research and Cornell Hospitality Quarterly , with 1017 Google Scholar citations and 349 Scopus citations. Current research involves the Science Fund of Serbia's TOURCOMSERBIA project evaluating tourism competitiveness models.

Sebastian Rudolphمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Description Logics
• +۷ مورد دیگر

Prof. Sebastian Rudolph is a Professor of Computational Logic at the Institute for Artificial Intelligence , Faculty of Computer Science , TU Dresden. Since 2021, he has been an Affiliate Member of the Faculty of Mathematics. His research spans theoretical and applied artificial intelligence, focusing on Knowledge Representation and Reasoning through formalisms like Description Logics, Existential Rules, and Formal Concept Analysis, with applications in Semantic Technologies. 2017 : ERC Consolidator Grant for decidability principles in logic-based knowledge representation 2006-2013 : Postdoctoral researcher, project leader, and Privatdozent at KIT's Institute AIFB 2011 : Habilitation at KIT Earlier : PhD in Algebra and teaching qualification in mathematics, physics, and computer science at TU Dresden His recent publications address decidability of logical reasoning, non-monotonic extensions in formal concept analysis, standpoint logics, and multiagent systems. He supervises the DeciGUT and KIMEDS projects, and is involved in the SECAI and ScaDS.AI centers. Teaching activities include courses on Theoretical Computer Science, Existential Rules, and Formal Concept Analysis.

Xin Xinمشاهده پروفایل

دانشیار

• Political Economy of Chinese Media
• Global Communications
• Soft Power and Cultural Diplomacy
• +۱۱ مورد دیگر

Dr Xin Xin is a Reader in International Communications at the University of Westminster , affiliated with the Communication and Media Research Institute (CAMRI) and the Contemporary China Centre . Her academic career spans over three decades, combining journalism, scholarship, and policy engagement. She previously held the RCUK Academic Fellowship (2006-2011) and UK/China Fellowship for Excellence (2008-2009) , focusing on China's soft power, media transformations, and digital labor. Educational Background: BA in Russian Language and Literature (Beijing International Studies University, 1994) MA in International Journalism (University of Westminster, 2003) PhD in Media and Communication (University of Westminster, 2006) Research Focus: Dr Xin's work bridges the political economy of Chinese media , global communications , soft power strategies , sociology of journalism , and grassroots digital practices . She critically examines how marketization, globalization, and digitalization reshape legacy media like Xinhua News Agency, alongside state-corporate soft power deployments and grassroots digital activism. Recent Publications highlight trends in AI-driven journalism , digital labor , party journalism modernization , and soft power analysis . Her articles span empirical studies of Xinhua's financialization and party journalism, comparative public diplomacy, and longitudinal analyses of digital inclusion in BRICS nations. Scientific Awards: RCUK Academic Fellowship (2006-2011) UK/China Fellowship for Excellence (2008-2009) Founding Editorial Board Member of Westminster Papers in Communication and Culture and Interactions: Studies in Communication & Culture Supervision: Dr Xin currently supervises PhD students on topics including Sino-African journalism, Chinese diaspora identity on YouTube, and gender dynamics in Chinese social media. She co-organized 11 international doctoral summer schools and served as second supervisor for over ten PhD candidates. Activities: She has delivered lectures at institutions such as the University of Pennsylvania, University of Birmingham, and Tsinghua University. Her consultancy work includes Oxford Analytica and the Media Diversity Institute, with media citations in Al Jazeera , NBC News , and The Washington Post .

Elsayed Issaمشاهده پروفایل

استادیار

• Natural Language Processing
• Second Language Acquisition
• Arabic Linguistics
• +۶ مورد دیگر

Elsayed Issa is an Assistant Professor in the School of Languages and Cultures at Purdue University. Specializing in Computational Linguistics and Arabic, his interdisciplinary research bridges Natural Language Processing (NLP) with Second Language Acquisition (SLA), focusing on conversational AI and speech technology for under-resourced languages. Ph.D. in Linguistics from the University of Arizona (2023) Research integrates NLP, conversational AI, and SLA methodologies Develops tools for computer-assisted pronunciation training (CAPT) Focuses on Arabic dialectology and large language models (LLMs) His work employs Transformer architectures and end-to-end machine learning to enhance language learning systems. Recent projects include ArabiBot development and dialect identification models. He specializes in speech-to-text systems , prosody modeling , and emotional speech analysis for Arabic language learning applications.

Janice McGregorمشاهده پروفایل

دانشیار

• Language Learning and Teaching Ideologies
• Intercultural Learning in Study Abroad
• Qualitative Research Methods in Applied Linguistics
• +۳ مورد دیگر

Janice McGregor is an Associate Professor of German Studies at the University of Arizona, affiliated with the College of Humanities and the Interdisciplinary PhD program in Second Language Acquisition and Teaching (SLAT). She holds a PhD in German Applied Linguistics from Penn State and previously served as Assistant Professor of German at Kansas State University (2012–2018). Her research focuses on three core areas: ideologies in language learning/teaching, discourses around intercultural learning in study abroad, and reflexive qualitative research methods in applied linguistics. She emphasizes the importance of examining social interactions and authentic language use patterns across communities. Her work critiques traditional methodologies in study abroad research, advocating for more reflexive and decolonized approaches. Notable contributions include analyzing interactions in study abroad contexts, the role of authenticity in language learning, and the ethical dimensions of global mobility programs. Current courses include GER 244 (Real Talk: Why Language Matters) and GER 508 (Approaches to German Studies). Her research methodologies often integrate autoethnography and critical discourse analysis. McGregor’s articles consistently address themes of agency, authenticity, and methodological innovation. Recent work explores ungrading practices and the use of technology in L2 learning. She actively participates in academic discourse through her contributions to conferences like the Tucson Humanities Festival and her involvement in curricular decolonization initiatives.

• Applied Linguistics
• Language Testing and Assessment
• Language Assessment Literacy
• +۶ مورد دیگر

Professor Luke Harding is a faculty member at the Department of Linguistics and English Language , Lancaster University , within the School of Social Sciences . His work bridges applied linguistics, language assessment, and critical discourse studies, with a focus on the ethical and societal implications of testing. Research Interests : Language testing and assessment, World Englishes and English as a Lingua Franca (ELF), second language listening and pronunciation assessment, diagnostic approaches to language evaluation, and language assessment literacy. Recent projects integrate digital technology and corpus linguistics into testing frameworks. Publications : Published extensively in Language Testing , Applied Linguistics , and Language Assessment Quarterly . Co-edited the Routledge Handbook of Language Testing (Second Edition) (2022), a key reference work in the field. Teaching : Leads modules in Language Test Construction and Evaluation , Issues in Language Testing , and Statistical Analysis for Language Testing within the university's distance MA program. Leadership : Convened the Language Testing Research Group with colleagues Tineke Brunfaut and John Pill, advancing interdisciplinary approaches to assessment.

• Language Acquisition
• Second Language Acquisition (SLA)
• Third Language Acquisition (L3)
• +۷ مورد دیگر

Pascale Trevisiol Okamura is an Associate Professor in Language Sciences and Language Teaching at Sorbonne Nouvelle University, affiliated with the DILTEC research team (EA 2288). Her primary role includes teaching language acquisition and foreign language didactics within the UFR of Literature, Linguistics, and Didactics (LLD). She co-heads the Master 2 program in Language Teaching (FLE/FLS) and holds administrative roles in departmental councils and educational committees. Education Background: Lecturer at Sorbonne Nouvelle University since 2015 Previously taught at Université de Poitiers (2010–2015) and Université Paris 8 (2007–2010) French teaching assistant at Hokkaido University, Japan Research Focus: Specializes in third language acquisition (L3), crosslinguistic influence, and the interface between language acquisition and didactics. Key themes include: Discourse construction in L3 French Input processing and initial language exposure Development of teaching materials for FLE Plurilingual practices among language teachers Current projects involve multilingualism in primary education, Tamil-speaking learners' L3 French acquisition, and reflexive training in research. Teaching & Supervision: Co-supervises doctoral research on topics such as L3 French acquisition in Chinese contexts, translinguistic discourse influences, and plurilingual teacher practices. Teaches advanced courses on language acquisition theories and FLE methodology. Labs/Teams: Member of the Second Language Acquisition Network (ReAL2) and part of the DILTEC team, focusing on language didactics and multilingualism research.

David Peetersمشاهده پروفایل

دانشیار

• Multimodal Communication
• Multilingualism
• Bilingualism
• +۳ مورد دیگر

David Peeters is an Associate Professor at Tilburg University's Department of Communication and Cognition, part of the Tilburg School of Humanities and Digital Sciences. His research focuses on multimodal communication, multilingualism, and digital communication, leveraging immersive virtual reality (VR) technologies combined with EEG, eye-tracking, and fMRI. He explores neurobiological underpinnings of language, including neuropragmatics, non-verbal communication, and multilingualism. His work is supported by grants such as the NWO Veni and Tilburg University Fund. Peeters teaches courses on virtual reality, language psychology, and digital literature integration in education. He is a Research Fellow at the Donders Institute and President of the Tilburg Young Academy. Key research interests include the role of gesture and iconicity in second language acquisition, bilingual language switching in immersive environments, and the impact of dataism on academic publishing. He collaborates with libraries and schools to integrate digital literature into curricula and public collections. His scientific awards include the NWO Veni Grant and a Fellowship from the International Max Planck Research School for Language Sciences. His research bridges cognitive science, linguistics, and technology, emphasizing ecologically valid experimental paradigms.