جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Natural Language Processing
• Music Information Retrieval
• +۱۲ مورد دیگر

Colin Raffel , currently an Associate Professor at the University of Toronto and Associate Research Director at the Vector Institute , is a leading researcher in machine learning and natural language processing . His career spans roles at Hugging Face (Faculty Researcher), Google Brain (Senior Research Scientist), and UNC Chapel Hill (Assistant Professor). Education: PhD in Electrical Engineering (Columbia), MA in Music/Science (Stanford), BA in Mathematics (Oberlin) Key affiliations: Google Brain (2016-2020), Hugging Face (2021-present), Vector Institute (2023-present) His research focuses on language model development , attention mechanisms , efficient machine learning , and music information retrieval . Recent work explores model merging , parameter-efficient fine-tuning , and data-constrained language models . Teaching : Has instructed courses at University of Toronto and UNC Chapel Hill on Neural Networks , Deep Learning , and Information Theory . Academic service includes organizing ICLR workshops and serving as Senior Area Chair for NeurIPS and EMNLP . Notable awards : NSF CAREER (2022), Caspar Bowden Award (2023), NeurIPS Outstanding Paper (2023) Key contributions : Core developer of WT5 , Git-Theta , and mir_eval software

Alan Ritterمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Alan Ritter is an Associate Professor at the School of Interactive Computing , Georgia Institute of Technology, with additional affiliation to the Machine Learning Center . His research focuses on Natural Language Processing , particularly robust models across domains/languages with fewer labels and efficient resource use, plus data-driven dialogue agents for open-topic conversations. Research Interests : Robust NLP models, cross-lingual transfer, resource-efficient learning, dialogue systems, cultural bias measurement, and privacy-aware language models Students : Mentors Ph.D. students in Georgia Tech's ML and CS programs, including Junmo Kang, Yang Chen, and Duong Minh Le. Alumni include Fan Bai (Ph.D. 2023), Yang Chen (Ph.D. 2024), and Andrew Li (M.S. 2024). Awards : NSF CAREER Award, Amazon Research Award, ACL 2024 Best Social Impact Paper, IUI 2009 Best Student Paper. Recent Work : Studies training budget allocation between supervised and preference-based finetuning, cross-lingual information extraction, cultural bias in LLMs, and privacy risk mitigation in social media disclosures. Service : Served as Program Chair for NAACL 2025, Area Chair for multiple top-tier conferences (COLM, EMNLP, ACL, EACL, AAAI). Email : alan.ritter@cc.gatech.edu

Ihab Ilyasمشاهده پروفایل

استاد

• Data Management
• Data Cleaning
• Machine Learning for Data Quality
• +۶ مورد دیگر

Professor Ihab Ilyas is a leading figure in data management and machine learning at the Cheriton School of Computer Science , University of Waterloo , where he holds the Thomson Reuters Research Chair in Data Quality . He is currently on leave from the university, serving as a Distinguished Engineer, Proactive Intelligence at Apple Inc . His research focuses on data cleaning , large-scale data integration , knowledge graphs , and machine learning applications in data quality . He has pioneered systems like HoloClean and Saga , with commercial impacts through co-founded startups Inductiv (acquired by Apple) and Tamr . PhD in Computer Science from Purdue University Co-founder of Inductiv (acquired by Apple) Co-founder of Tamr Research Interests include: Probabilistic and uncertain data management Machine learning for data quality and enrichment Big data systems and information extraction Knowledge graph construction and optimization Scientific Awards and Recognitions include: Fellow of the Royal Society of Canada (2024) C.C. Gotlieb Computer Award (2024) IEEE Fellow (2021) ACM Fellow (2020) Cheriton Faculty Fellowship (2013-2016) Ontario Early Researcher Award

Muhammad Abdul-Mageedمشاهده پروفایل

دانشیار

• Natural Language Processing
• Deep Learning
• Socio-Pragmatics
• +۵ مورد دیگر

Dr. Muhammad Abdul-Mageed is an Associate Professor in the School of Information at The University of British Columbia, with joint appointments in Linguistics and an associate membership in Computer Science. He holds the Canada Research Chair in Natural Language Processing and Machine Learning. His research focuses on deep learning, socio-pragmatics, and speech/language technologies, particularly for Arabic and African languages. He leads the UBC Deep Learning & NLP Group and co-directs SSHRC-funded grants like I Trust AI and Ensuring Full Literacy. He is a founding member of the Center for Artificial Intelligence Decision making and Action and a member of the Institute for Computing, Information, and Cognitive Systems. His work spans automatic speech recognition, machine translation, computational socio-pragmatics, and low-resource language technologies. Notable projects include developing Arabic speech recognition systems, multidialectal Arabic benchmarks, and tools for African language processing. He has authored over 100 peer-reviewed papers and leads initiatives like the NADI Arabic Dialect Identification shared task and the NileChat project for culturally-aware LLMs. His research aims to create equitable, socially-aware AI systems for health, social media, and information management.

Golnoosh Farnadiمشاهده پروفایل

استادیار

• Algorithmic Fairness
• Privacy-preserving Machine Learning
• Responsible AI
• +۵ مورد دیگر

Golnoosh Farnadi is an Assistant Professor at McGill University's School of Computer Science and an Adjunct Professor at the University of Montréal. She serves as a Visiting Faculty Researcher at Google, a Core Academic Member at MILA (Quebec Institute for Learning Algorithms), and holds a prestigious Canada CIFAR AI Chair. Farnadi co-directs McGill's Collaborative for AI & Society (McCAIS) and founded the EQUAL Lab (EQuity & EQuality Using AI and Learning algorithms), which focuses on advancing algorithmic fairness and responsible AI. Her educational background includes a Ph.D. in Computer Science from KU Leuven and Ghent University (2017), with postdoctoral research at the University of Montreal/MILA (2018-2020) and the University of California, Santa Cruz (2017-2018). During her doctoral studies, she was a visiting scholar at UCLA, University of Washington, Tsinghua University, and Microsoft Research. Dr. Farnadi's research centers on developing mathematical tools and algorithms for fairness-aware machine learning systems. Her work addresses bias and discrimination in AI decision-making across critical domains including healthcare, criminal justice, financial services, and social media. She has pioneered approaches to ensure fairness in deep learning models, particularly in sequential decision-making under uncertainty. Her research bridges theoretical foundations with practical applications, examining how AI systems can be designed to promote equity while maintaining performance. Analysis of her recent publications reveals a strong focus on practical implementations of fairness mechanisms across diverse AI applications. Her work spans technical domains from generative models and large language models to recommender systems and healthcare optimization. A unifying theme is the development of mathematically rigorous frameworks that balance performance with fairness considerations, with increasing attention to cultural diversity in multilingual AI systems and privacy-preserving fairness approaches. Google Scholar Award (2021) Facebook Research Award (2021) Rising Stars in AI Ethics (2021) Google Award for Inclusion Research (2023) WAI Responsible AI Leader of the Year Finalist (2023) 100 Brilliant Women in AI Ethics (2023) Canada CIFAR AI Chair Dr. Farnadi advises numerous doctoral and master's students across McGill University, University of Montréal, and MILA, with research focusing on fairness, privacy, and responsible AI. Her EQUAL Lab brings together researchers from computer science, social sciences, and policy domains to address systemic challenges in AI ethics. She has secured significant research funding from Google and other major organizations to support her work on fairness-aware AI systems, with applications spanning healthcare, social media safety, and public policy. The EQUAL Lab serves as a hub for interdisciplinary research on algorithmic fairness, bringing together computer scientists, social scientists, and policy experts. The lab's work spans theoretical foundations of fairness metrics, practical implementations in real-world systems, and policy recommendations for responsible AI deployment. Current projects include developing frameworks for fair kidney exchange programs, mitigating cultural stereotypes in multilingual language models, and creating privacy-preserving approaches for detecting online harms while protecting user data.

Joël Thibeaultمشاهده پروفایل

استاد

• French Education
• Francophone Minority Contexts
• Grammar Teaching
• +۵ مورد دیگر

Joël Thibeault is a Professor at the Faculty of Education, University of Ottawa and Adjunct Professor at the Faculty of Education, University of Regina . His research focuses on the teaching and learning of French grammar in Francophone minority contexts, the integrated instruction of French and English, and the use of children’s literature in linguistic education. He has secured major funding from the Social Sciences and Humanities Research Council of Canada for studies on bilingual grammar pedagogy. Research Themes: Francophone minority education, plurilingual approaches, drama-based pedagogy, and curriculum innovation. Awards: Received the Prix du nouveau chercheur (2024) from the University of Ottawa’s Faculty of Education. Recent Publications emphasize inductive grammar strategies, plurilingual vocabulary instruction, and drama/literature integration in minority language classrooms. His work bridges policy, practice, and technology in Canadian French-language education. Scientific Awards: SSHRC Grant (2024) Prix du nouveau chercheur (2024)

Verónica Loureiro-Rodríguezمشاهده پروفایل

دانشیار

• Sociolinguistics
• Language and Identity
• Language Attitudes
• +۵ مورد دیگر

Verónica Loureiro-Rodríguez is an Associate Professor in the Department of Linguistics at the University of Manitoba's Faculty of Arts. Her research focuses on sociolinguistics, language identity, and code-switching, with special attention to global hip hop and multilingual communities. She holds a PhD from the University of California, Davis, an MA from the University of Colorado at Boulder, and a BA from the Universidade de Santiago de Compostela. Dr. Loureiro-Rodríguez's work examines language attitudes across diverse contexts, including French-English dynamics in Manitoba, Spanish-Valencian bilingual processing, and code-switching in music. She has also explored language use in robotics and cultural hybridity among Puerto Rican and Mexican communities. Her teaching excellence was recognized with the 2021 Faculty of Arts Teaching Excellence Award. Education: PhD (UC Davis), MA (CU Boulder), BA (USC) Awards: 2021 Teaching Excellence Award (Established Faculty) Research Focus: Language policy, digital sociolinguistics, and cultural identity She currently supervises graduate students in Master's and PhD programs, focusing on sociolinguistic methodologies like the matched-guise technique. Her research often intersects with music studies, robotics, and diaspora linguistics.

Aqsa Ijazمشاهده پروفایل

استادیار

• Persianate Literatures
• Translation Studies
• Comparative Literature
• +۷ مورد دیگر

Aqsa Ijaz is an Assistant Professor (Teaching Stream) at the Department of Language Studies and teaches the popular course Being Human in South Asia in the Department of Historical Studies at the University of Toronto Mississauga. She is a literary scholar specializing in Persianate literatures and multilingualism, with a focus on classical Persian poetry reception in South Asia. Education: PhD in Islamic Studies (McGill University), MPhil in Translation Studies (G.C. University, Pakistan), BA Hons in English Literature and Philosophy (minor in French). Her research explores the transcultural and temporal resonance of Nizami Ganjavi's Khusrau u Shirin across Persian, Urdu, and Punjabi traditions. She is the architect of the Global Past Research Initiative and serves on the editorial board of The Marginalia Review of Books . Key publications include her monograph Shaping the Language of Love and annotated translations of the 18th-century Persian history The Gift of the Generous and the French graphic novel Majnun and Laila: Songs from Beyond the Grave . Her work intersects premodern manuscript studies, oral performances, lithographs, and modern graphic novels. She teaches Introductory Persian , Urdu , and Punjabi courses while actively translating and performing as a cellist.

Hassan Sajjadمشاهده پروفایل

دانشیار

• Natural Language Processing
• Deep Learning
• Safe and Trustworthy AI
• +۷ مورد دیگر

Hassan Sajjad is an Associate Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He is also the Director of HyperMatrix, a research group focused on AI and deep learning. His work centers on Natural Language Processing, Safe and Trustworthy AI, interpretability, and robustness of language models. PhD - University of Stuttgart, Germany (2012) Masters - National University of Computer and Emerging Sciences, Pakistan (2007) BSc - National University of Computer and Emerging Sciences, Pakistan (2005) Hassan Sajjad's research focuses on making AI systems more interpretable, robust, and safe. He investigates how deep learning models, particularly transformers, encode linguistic and conceptual knowledge. His work spans language generation , model editing , interpretability , and generalization . He develops tools like NeuroX and NxPlain to analyze neuron-level behavior in NLP models. His research also extends to crisis informatics and multilingual NLP, especially Arabic and Urdu. The recent publications show a strong trend in analyzing and interpreting deep NLP models, with a focus on neuron interpretation , latent concept discovery , and model robustness . His work appears in top-tier venues like NeurIPS, ICLR, ACL, and EMNLP, indicating high impact in the AI and NLP communities. There is a clear emphasis on developing practical tools and frameworks for model analysis. No formal scientific awards are mentioned in the provided text. Hassan Sajjad mentors students and has fellowship opportunities available. While specific grants are not listed, his extensive publication record and leadership roles suggest active research funding. He advises students in AI, NLP, and deep learning, and collaborates widely across institutions. He leads the HyperMatrix research group at Dalhousie University, which focuses on AI, deep learning, and NLP. The group develops tools for model interpretation and works on safe and trustworthy AI. Collaborations extend to institutions like MBZUAI, NYU Abu Dhabi, and various international research centers.

Janet F. Werkerمشاهده پروفایل

استاد

• Developmental Psychology
• Language Acquisition
• Speech Perception
• +۷ مورد دیگر

Dr. Janet F. Werker is a University Killam Professor and Canada Research Chair at the University of British Columbia , affiliated with the Faculty of Arts and Department of Psychology . She directs the Infant Studies Centre and co-founded the UBC Language Sciences initiative. Her research focuses on perceptual foundations of language acquisition , studying speech perception mechanisms in monolingual and bilingual infants, critical periods of development, and neural correlates using behavioral, ERP, and NIRS methods. Recent work extends to literacy development in multicultural contexts through an SSHRC Partnership Grant. Key themes in 15 most recent articles: Infant brain development, statistical learning, speech perception, bilingualism, musical sophistication, microbiome-brain links, sensorimotor integration, voice recognition, and cross-linguistic generalization. Studies employ EEG, NIRS, and behavioral paradigms to explore early language, social understanding, and neurodevelopmental pathways. Scientific accolades include election to the National Academy of Sciences (2020) , Benjamin Franklin Institute Medal (2024) , and multiple fellowships (AAAS, Royal Society of Canada). Her work is funded by NSERC, SSHRC, NIH, and CIFAR. Dr. Werker supervises graduate students and leads international collaborations examining language acquisition, bilingualism, and developmental disabilities. She is actively involved in pandemic-era research adaptations, emphasizing online methodologies.

• Languages and literature
• reading-research
• immigrant-achievement
• +۶ مورد دیگر

Dr. Lee Paul Gunderson is a Professor in the Faculty of Education at the University of British Columbia , affiliated with the Department of Language & Literacy Education . His research focuses on second language literacy, immigrant student achievement, and multicultural education approaches. Key affiliations: Department of Language & Literacy Education, UBC Research programs: Language and Literacy Education (PhD/MA), Teaching English as a Second Language (PhD/MA) Research Interests : Dr. Gunderson investigates how home literacy environments , English acquisition , and multicultural inclusion impact immigrant students’ academic success. His work critiques English-only policies and emphasizes culturally responsive pedagogy in K-12 settings. Recent Trends : Recent publications analyze Chinese-Canadian bilingualism , PPVT-5 assessment tools , and systemic barriers for ESL learners. Collaborative work with Li, D’Silva, and Murphy Odo highlights family literacy practices and policy implications . Scientific Awards : 2023: Education Advocate Award 2021: Reading Hall of Fame inductee 2010: Honorary Lifetime Membership (Learning Disabilities Association) 2009: BC TEAL Lifetime Contributors Award Grants & Collaborations : Dr. Gunderson leads projects like Predictors of Immigrant Achievement in English-Only Environments and has developed assessment frameworks including the Burnaby English Reading Assessment . His work bridges theory and practice through partnerships like the Lower Mainland ESL Assessment Consortium.

Yana Meerzonمشاهده پروفایل

استاد

• Theoretical Performance Studies
• Dramaturgy
• Migration and Displacement
• +۵ مورد دیگر

Yana Meerzon is a Full Professor in the Department of Theatre at the University of Ottawa, affiliated with the Faculty of Arts. Her academic roles include teaching advanced courses such as Performance and Migration , THE 5130 Dramaturgy , and THE 5934 Theatre at the Crossroads of Narratives . She holds additional adjunct roles at institutions like Carleton University’s Cultural Mediations Program and Dalhousie University’s Department of English. Her research focuses on theoretical approaches to performance and migration, including studies on displacement, multilingualism, and identity politics. She has authored four books and co-edited nine collections, with recent works exploring Russian nationalism and migration narratives. Her current SSHRC-funded project examines the intersection of migration and neo-nationalism in European theatre. Meerzon’s academic leadership includes serving as President of the Canadian Association for Theatre Research (2020–2022) and membership in global organizations like IFTR and EASTAP. Her educational background includes a Ph.D. from the University of Toronto and advanced degrees from the Russian Academy of Theatre Arts (GITIS). Her scholarly contributions span over 86 publications, including analyses of Wajdi Mouawad’s work, Michael Chekhov’s pedagogy, and digital performance in crises. She actively engages in public discourse through interviews and media links, emphasizing the ethical and cultural dimensions of migrant theatre practices in Canada and beyond.

Rainier Grutmanمشاهده پروفایل

استاد

• Multilingualism in Literature
• Self-Translation
• Translation Studies
• +۷ مورد دیگر

Rainier Grutman is a Full Professor of French and Translation Studies at the University of Ottawa, holding a cross-appointment in the Department of French and the School of Translation & Interpretation within the Faculty of Arts. Trained in Romance philology and Comparative Literature at Namur, Leuven, and Madrid universities, he completed his Ph.D. in French Studies at the University of Montreal in 1994. In 2022, he was elected to the prestigious Academy of Europe (Academia Europaea), class of 'Humanities,' section 'Literary and Theatrical Studies.' His educational background includes: Ph.D. in French Studies from Université de Montréal (1994) Romance and Hispanic philology from Universidad Complutense de Madrid (1989) M. Phil. in French and Romance Literatures from KU Leuven (1988) Teacher certification for upper-level high school from KU Leuven (1988) B. Phil. in French and Romance Literatures from Université de Namur (1986) Grutman's research primarily focuses on multilingualism in literature, self-translation, and translation studies, with particular attention to bilingual writers and multilingual texts. His work spans comparative literature, sociolinguistics, and postcolonial theory, examining how language functions within literary contexts across different cultural settings including Belgium, Canada, Spain, and Italy. He has made significant contributions to understanding how writers navigate multiple languages in their creative work and how these multilingual texts are translated and received by diverse audiences. His scholarly output reveals a consistent focus on self-translation as both a literary phenomenon and cultural practice. His research demonstrates how self-translation functions as a negotiation between languages and cultures, often revealing power dynamics between linguistic communities. Grutman's work frequently examines the intersection of language, identity, and power in literary contexts, with particular attention to how writers position themselves within multilingual frameworks. His most recent publications (2020-2024) continue this trajectory with studies on code-switching in literature, multilingual readership, and transatlantic self-translation practices. His major scholarly recognitions include: Gabrielle-Roy prize for Canadian literary criticism (for 'Des langues qui résonnent') Election to the Academy of Europe (Academia Europaea) in 2022 Grutman has supervised numerous graduate students and collaborated extensively with scholars internationally. His work has been supported by various research grants that have enabled him to explore multilingual writing across different cultural contexts. He has edited special journal issues and co-authored significant reference works in translation studies, including the French version of H. Van Gorp's 'Lexicon van literaire termen' and the comprehensive 'Histoire de la littérature belge.' His teaching at the University of Ottawa includes advanced courses on literary poetics, intertextuality, sociocriticism, and comparative literature with a focus on multilingual writing and self-translation. He maintains active research collaborations with institutions in Belgium, Spain, and Italy, reflecting his international scholarly network and the transnational nature of his research interests in multilingual literature and translation.

• Linguistic Anthropology
• Sociocultural Anthropology
• Critical Social Theory
• +۵ مورد دیگر

Francis Cody is an Associate Professor in the Department of Anthropology and cross-appointed to the Asian Institute (MCIS) at the University of Toronto. His work bridges sociocultural and linguistic anthropology, focusing on language, media, and politics in southern India. Primary affiliation: Department of Anthropology, University of Toronto Mississauga (UTM) Research keywords: Sociocultural Anthropology, Media Studies, Postcolonial Theory, Literacy Activism Research Interests explore intersections of political publicity, digital media, and postcolonial governance in Tamil Nadu. He investigates how technologies like print, digital platforms, and oral traditions shape democratic practices and popular sovereignty, with a focus on caste dynamics, gendered reciprocity, and state-citizen interactions. Publications Trends reveal a trajectory from literacy activism (2013 book The Light of Knowledge ) to media infrastructure analysis and populist sovereignty (2023 book The News Event ). His work connects linguistic practices to broader political transformations through ethnographic engagement with Tamil and English media. Scientific Awards Edward Sapir Book Prize (2014) for The Light of Knowledge Advising Graduate students: Aakash Solanki, Marianna Reis, Victoria Sheldon

Virendra Bhavsarمشاهده پروفایل

استاد پژوهشی

• Natural Language Processing
• Cognitive Informatics
• Distributed Systems
• +۳ مورد دیگر

Virendra Bhavsar is an Honorary Research Professor and Professor Emeritus in the Department of Computer Science at the University of New Brunswick (UNB). He holds a PhD in Computer Science and is affiliated with UNB's Fredericton campus, located in Gillin Hall GE109A. His research focuses on natural language processing (especially for Hindi and other Indian languages), cognitive informatics, distributed systems, and bioinformatics. Bhavsar has also contributed to projects involving virtual reality in education, parallel computing, and machine translation systems. Education: PhD in Computer Science Research Interests: Development of NLP tools for free-word-order languages Optimization of in-memory data processing systems on NUMA architectures Cognitive learning environments using virtual reality Tree-based parsing algorithms for linguistic analysis High-performance spatial and spatio-temporal data systems Recent Work Trends: His articles from 2017–2022 highlight advancements in Hindi language processing, distributed computing optimizations, and cognitive informatics applications. Notable areas include improving data skew resilience in hash joins and developing visualization systems for language learning. Awards: No specific scientific awards listed in available materials. Advising & Grants: No formal advisee list or grant details provided in current data. His collaborations include work on grid computing frameworks like GARUDA and HPGC initiatives. Labs/Teams: Involved in projects related to distributed in-memory systems (e.g., DISTIL) and cognitive informatics research groups.