جستجوی استاد راهنمای دانشگاهی

Soosan Beheshti is a Professor and Program Director in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University. She holds a B.S. from Isfahan University of Technology and M.S./Ph.D. from MIT. Her research focuses on signal processing, statistical learning, and information theory, with applications in biomedical systems, data denoising, and system modeling. She has received awards such as the Dean's Teaching Award (2010) and the EECS Carlton E. Tucker Award (1998). Education: B.S., Electrical Engineering, Isfahan University of Technology (1996) M.S. & Ph.D., Electrical Engineering, MIT (2002) Research Interests: Statistical Signal Processing Information Theory Data Denoising & Compression System Modeling & Control Machine Learning Applications Awards: Dean's Teaching Award (2010) Gold Paper Award (PacRim 2009) Best Paper Award (Remote Sensing 2008) MIT Teaching Excellence Award (1998) Teaching: Courses include Signals and Systems, Control Systems, and Statistical Inference. She has supervised numerous graduate students and postdocs in her Signal and Information Processing (SIP) Lab. Labs/Teams: Director of the SIP Lab, conducting research in signal processing, information theory, and biomedical applications. Collaborates with industry partners like Myant Inc. and Huawei Technologies.

• Signal Processing
• Statistical Signal Processing
• Information Theory
• +۶ مورد دیگر

Sandra Zilles is a Professor and Canada Research Chair (Tier 1) in Computational Learning Theory at the University of Regina's Department of Computer Science. She holds adjunct appointments at the University of Waterloo and collaborates with the Alberta Machine Intelligence Institute (Amii). Her research focuses on theoretical computer science and artificial intelligence, particularly interactive learning models, formal language theory, and heuristic search algorithms. Her research integrates computational learning theory, formal language theory, and discrete artificial intelligence structures. Key interests include: Machine teaching with limited data Learnability of pattern languages and automata Graph-theoretic approaches in AI Her work bridges theoretical frameworks with applications in medical imaging, bioinformatics, and game theory. Zilles has received numerous honors including: NSERC Canada Research Chair (Tier 1, 2022-2029) Royal Society of Canada College membership Best Paper Awards (KI 2012, ALT 2003, COLT 2002) She mentors over 50 students and postdocs through her research group. Current projects explore symbolic automata, collaborative learning, and geometric teaching models. Her lab maintains international collaborations with institutions in Germany, Canada, and the US.

• Computational Learning Theory
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Joanna McGrenere is a Professor in the Department of Computer Science at the University of British Columbia . Her research focuses on Human-Computer Interaction , Personalized User Interfaces , and Universal Usability , particularly for older adults and users with aphasia . She has extensively published on cross-device learnability , collaborative environments , and adaptive interface design . Research Interests: Human-Computer Interaction Personalized User Interfaces Universal Usability Interactive Technologies for Aging Populations Recent Publications address: real-time feedback in online meetings (2025), AI support for interviews (2025), financial technology for older adults (2025), ambient social systems (2025), computer-mediated self-disclosure (2025), digital home health assessments (2024), and intergenerational VR communication (2024). Key trends show increasing focus on age-inclusive design , context-aware interfaces , and interruption management . Collaborations include: Leah Findlater (University of Washington), Andrea Bunt (University of Manitoba), Karyn Moffatt (McGill University), and Kellogg S. Booth (University of British Columbia). Her work appears in journals like ACM Transactions on Accessible Computing and International Journal of Human-Computer Studies .

• Human-Computer Interaction
• Personalized User Interfaces
• Universal Usability
• +۴ مورد دیگر

Susana Béjar is an Associate Professor in the Department of Linguistics at the University of Toronto, Faculty of Arts and Science. Her research focuses on syntax, morphology, and linguistic theory, particularly exploring topics like DP recursion, phi-features, copular clauses, and language acquisition. She holds a PhD, MA, and BA from the University of Toronto. Her work examines syntactic structures, formal feature theory, and the acquisition of complex NPs in child language. Béjar has collaborated on numerous projects, including studies on Inuttitut corpus development and split ergativity in Kurdish varieties. She actively participates in research networks and has presented at conferences such as NWAV and LSA. Research Interests: Syntax, Morphology, Linguistic Theory, Language Acquisition, Phi-Features, Copular Clauses, DP Recursion. Recent Work Trends: Her publications emphasize syntactic recursion, feature-driven operations, and cross-linguistic agreement patterns. Notable contributions include analyses of copular clauses and the role of phi-features in syntactic dependencies. Grants: Over 30 grants secured from SSHRC and other agencies, including projects on case agreement in Laki, possessive extraction in English, and corpus development for Inuttitut. Labs/Teams: Collaborates with the Department of Linguistics research groups at U of T and participates in international research networks on syntax and language acquisition.

• Linguistic Theory
• Syntax
• Morphology
• +۴ مورد دیگر

John Archibald is a Professor at the School of Languages, Linguistics and Cultures, University of Victoria, specializing in second and third language phonology. His work bridges phonological theory with empirical studies on multilingual acquisition, focusing on feature mapping, transfer effects, and input processing. PhD, University of Toronto Fellow of the Royal Society of Canada (2020) Research interests include L2/L3 phonology , language learnability , and multilingual mental representation . His theoretical work addresses Plato’s Problem (input poverty), Orwell’s Problem (input resistance), and Escher’s Problem (illusory phonological perception). Recent publications analyze Contrastive Hierarchy applications, pitch accent acquisition , feature dependency , and phonological redeployment . Awards include the Canadian Linguistic Association Lifetime Achievement Award (2021) and SSHRC-funded L3 phonology research . He co-edits Contemporary Linguistic Analysis and teaches courses on linguistics, child language acquisition, and advanced L2/L3 research.

• Second Language Acquisition
• Third Language Phonology
• Language Learnability
• +۳ مورد دیگر

Xue Liu is a Professor and William Dawson Scholar at McGill University's School of Computer Science, affiliated with the Department of Mathematics and Statistics (courtesy appointment) and the Department of Electrical and Computer Engineering. He holds positions as Vice President R&D and Chief Scientist at Samsung AI Center Montreal, and serves as Chair (2021-2023) of ACM SIGBED. His research focuses on intelligent computing, cyber-physical systems, sustainable computing, AI/ML applications, IoT, and blockchain technologies. Dr. Liu has received multiple Best Paper Awards from conferences such as IEEE GLOBECOM, IEEE HPCC, and IEEE/ACM IWQoS. He is a Fellow of the Canadian Academy of Engineering (FCAE) and IEEE (FIEEE). His work bridges academia and industry, with entrepreneurial ventures including advisory roles at Infinity Stones Inc., TandemLaunch, and Aerial Technologies. He co-edits the Journal of Blockchain Research and serves on editorial boards of major journals like ACM Transactions on Cyber-Physical Systems and IEEE Transactions on Networking. Key research contributions include innovations in blockchain infrastructure, smart grid optimization, and AI-driven systems. His labs, including the Cyber-Physical Intelligence Lab and MILA affiliation, advance interdisciplinary research in machine learning, robotics, and networked systems. Dr. Liu mentors startups and advises initiatives like Learnable Inc., integrating AI into education and healthcare. Education Affiliations: McGill University School of Computer Science (prestige rankings include top 25 globally per QS 2023) Awards: Multiple Best Paper Awards, FCAE & FIEEE Fellowships Labs: Cyber-Physical Intelligence Lab, MILA, CIM, SYTACom Publications: Over 150 peer-reviewed articles, including books on cloud computing, smart grids, and cyber-physical systems

• Intelligent Computing and Communications Systems
• Sustainable Computing
• AI and Machine Learning Applications
• +۳ مورد دیگر

Prof. Roni Katzir is an Associate Professor in the Department of Linguistics and a member of the Sagol School of Neuroscience at Tel Aviv University. His research focuses on the intersection of mathematical/computational methods and linguistic cognition, investigating how humans represent, learn, and use language knowledge for inference and discourse. He holds a BSc in Mathematics from Tel Aviv University and a PhD in Linguistics from MIT. Education: BSc in Mathematics, Tel Aviv University PhD in Linguistics, Massachusetts Institute of Technology (MIT) His key research areas include computational linguistics, cognitive science, and formal semantics. Notable contributions address the computational modeling of grammar induction, the evaluation of large language models against human linguistic cognition, and the application of Minimum Description Length principles in neural networks. He leads the Computational Linguistics Lab and undergraduate program at TAU and teaches in the Adi Lautman Interdisciplinary Program for Outstanding Students. Recent work critically examines Large Language Models (LLMs), arguing they fail to replicate core aspects of human linguistic competence. His research also explores neural network generalization for grammar induction and the typological stability of logical operators. Prof. Katzir has advised numerous collaborative projects and leads initiatives in computational phonology and semantics. His labs focus on explanatory adequacy in language learning and neurosymbolic AI integration.

• Linguistics
• Computational Linguistics
• Cognitive Science
• +۴ مورد دیگر

Anne-Michelle Tessier is an Associate Professor at the University of British Columbia (UBC) within the Faculty of Arts, Department of Linguistics. As Director of the UBC Child Phonology Lab, she investigates theoretical phonology and language acquisition through constraint-based grammars like Optimality Theory (OT), Harmonic Grammar, and Harmonic Serialism. Her interdisciplinary research bridges phonology with cognitive science, speech technology, and biomedical applications. PhD in Linguistics, UMass Amherst (2006) Former Assistant/Associate Professor, University of Alberta (2006-2016) Lecturer in Linguistics/Psychology, University of Michigan (2016-2018) Adjunct Professor, Simon Fraser University (2016-2019) Her research focuses on phonological acquisition , constraint-based learning algorithms , and cross-linguistic studies . She explores topics such as: U-shaped development in child phonology Second language production/perception in childhood Prosodic processing in cochlear implant users Morpho-phonological domain interactions French liaison acquisition mechanisms Swearword phonological satisfaction Key publications include her textbook Phonological Acquisition and work on error-driven learning models. She previously served as Associate Editor for Glossa and Lingua journals. Current projects examine English onset clusters, French liaison simulations, and L1/L2 phonological modeling.

• Phonology
• Linguistics
• Constraint-based Grammars
• +۶ مورد دیگر

Teresa Merrells is an Associate Professor in the Department of Linguistics at Mount Royal University. She holds a PhD in Linguistics from the University of Calgary, alongside an MA and BA (With Distinction) in Linguistics from the same institution, and an Honours Diploma in Computer Technology from SAIT. Her research focuses on phonology, phonological acquisition, and language learnability. Education: PhD in Linguistics, University of Calgary MA in Linguistics, University of Calgary BA (With Distinction) in Linguistics, University of Calgary Honours Diploma in Computer Technology, SAIT Teaching & Roles: Teresa has been teaching at Mount Royal since 1994, achieving tenure in 2001. She instructs courses such as The Nature of Language I and II, Modern English Grammar, and First/Second Language Acquisition. She contributes to both undergraduate curricula and research in linguistic theory.

• Phonology
• Phonological Acquisition
• Language Learnability
• +۲ مورد دیگر

Dr. Anahi Alba de la Fuente serves as an Associate Professor at Université de Montréal's Department of Literatures and Languages of the World. Her research focuses on language acquisition patterns, particularly in Spanish as a first and second language, examining bilingualism through psycholinguistic and sociolinguistic frameworks. She investigates morphosyntactic development across learner profiles including heritage speakers and L2/L3 learners. Her work explores critical intersections between theoretical linguistics and applied pedagogy, addressing how linguistic risk perception influences language teaching methodologies. Research employs experimental and corpus-based approaches to analyze tense/aspect systems, gender assignment, and relative clause structures across Romance languages. Awarded the 2020 Teaching Excellence Prize, Dr. Alba de la Fuente maintains active collaborations through ResearchGate and Google Scholar. Current projects examine heritage language maintenance in Montreal's multilingual context and pedagogical interventions for advanced Spanish learners.

• Language Acquisition
• Bilingualism
• Spanish Linguistics
• +۲ مورد دیگر