Find Academic Supervisors

• Natural Language Processing (NLP)
• Computational Linguistics
• Second Language Learning
• +12 more

Andrew Caines is a Research Fellow at the Computer Laboratory , University of Cambridge, and a member of the NLIP Group and ALTA Institute . He works on computational linguistics, second language learning, and low-resource NLP with applications in educational technology and cybersecurity. Current projects include hate speech detection, LLM-based grammatical error correction, and machine translation for African languages Collaborations with Cambridge Cybercrime Centre and Cambridge Language Sciences interdisciplinary center Teaching roles: Co-lecturer for NLP courses, organizer of 'Non-standard NLP' and 'NLP & ML for Speech' topics His work combines corpus linguistics with machine learning to develop tools for language assessment and educational technology. Recent publications focus on hate speech analysis , multilingual grammatical error correction , and language model bias mitigation .

Sylvia MaciaszczykView profile

Lecturer

• Language Education
• E-learning
• Pedagogical Innovations
• +3 more

Sylvia Maciaszczyk is a linguist, coach, and mentor at SWPS University of Social Sciences and Humanities , affiliated with the Faculty of Humanities in Warsaw and the Department of English Studies . Her work bridges language education, pedagogical innovations, and the integration of technology in teaching. Specialization: Development of foreign language teachers, e-learning, and humanistic approaches to education. Experience: Led the SWPS Language Center (2005–2007) and Empik School network (2011–2013), coordinated EU-funded research (2010–2011), and directed the e-Learning Center (2017–2019). Her research emphasizes well-being and professional growth of language teachers, focusing on autonomy, communication, and adapting to change. She explores social media's role in education, blended learning, and creative teaching methodologies. Recent publications highlight blended learning , mediation , and interactive homework , reflecting trends in digital education and teacher-centric pedagogy. Articles often intersect with fields like educational technology, language teacher training, and intercultural communication. Scientific Awards : Received the European Language Label for the Students2Students innovation. Awarded the Janos Kohn Scholarship for academic excellence. Teaching and Supervision : Offers courses in English teaching methodology, 21st-century educational paradigms, creativity development, and English grammar. Supervises graduate theses while advocating for student and teacher autonomy.

Rishabh IyerView profile

Assistant Professor

• Computer Systems
• Performance Analysis and Optimization
• Operating Systems
• +5 more

Rishabh Iyer is an Assistant Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley. His research bridges computer systems, networking, and formal methods with a focus on performance predictability and reliability. Prior to Berkeley, he completed his PhD at EPFL and undergraduate studies at IIT Bombay. His educational background includes: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) Bachelor's degree from Indian Institute of Technology Bombay (IIT Bombay) Iyer's research centers on performance interfaces for computer systems – creating succinct abstractions that allow engineers to reason about system performance without understanding implementation details. His work spans three major directions: (1) Extracting performance interfaces from implementations, (2) Designing systems with predictable performance, and (3) Formally verifying performance claims. This research combines operating systems, networking, computer architecture, and formal verification techniques to address performance unpredictability in modern systems. His group develops tools like PIX for network functions, KFlex for kernel extensions, and Software LPN for hardware accelerators. His publications reveal strong focus on performance modeling for network functions, kernel extensions, and hardware accelerators, with recent work expanding into real-time systems and SD-WAN validation. The research consistently targets practical impact, with deployments at companies like Meta and Alibaba. Scientific recognition includes: ACM SIGOPS Dennis M. Ritchie Award Eurosys Roger Needham PhD Award Dimitris N. Chorafas Award Best Paper at VDAT 2019 Iyer actively advises students at UC Berkeley and teaches courses including CS 294-262 (Performance Analysis) and CS 168 (Internet Architecture). Previously at EPFL, he taught Principles of Computer Systems, Software Engineering, and Vector Calculus. His group seeks talented students interested in building reliable, high-performance systems. Current research directions include performance interfaces for distributed applications, next-generation kernel extensions, and formally verified network systems. He leads research within UC Berkeley's systems community and maintains strong connections with EPFL's Dependable Systems Lab where he completed his PhD.

Amin ZainiView profile

Lecturer

• Education
• Social Justice
• Power Relations
• +3 more

Amin Zaini is a Lecturer at Deakin University , School of Education , where he also obtained his PhD. His work focuses on Education , Social Justice , and the Analysis of Power Relations in societal contexts. Expertise in Remote Learning during pandemics Research on EAL (English as an Additional Language) learners Areas include critical literacy, cultural challenges, and educational equity His publications highlight trends in migrant/refugee family education , critical reading practices , and technology's role in language learning . Collaborative work with researchers like Dr. Tebeje Molla and Dr. Ruth Arber addresses systemic educational barriers. Awarded an internal grant at Deakin University for studies on migrant/refugee families, his research emphasizes improving equitable access to online education and addressing language/technological disparities during emergencies.

Kamilia RahmouniView profile

Assistant Professor

• comparative and historical sociolinguistics
• language and identity
• second language acquisition and teaching
• +1 more

Kamilia Rahmouni is a Teaching Assistant Professor at the Virginia Commonwealth University , affiliated with the Department of Foreign Languages . She holds a Ph.D. in Arabic Education and an M.A. in Middle Eastern and North African Studies from the University of Arizona (2019). Her research focuses on: Comparative and historical sociolinguistics Language and identity Second language acquisition and teaching Pedagogy and curriculum design Recent publications highlight her work in Arabic language education , integrating AI tools like ChatGPT into grammar instruction, exploring heritage learners of Arabic dialects , and analyzing political discourse in Tunisia. She is recognized as a Fulbright Exchange Scholar , emphasizing her expertise in cross-cultural educational initiatives. Scientific awards include: Fulbright Exchange Scholar

• Second Language Acquisition
• Educational Technology
• Teacher Preparation
• +6 more

Michael Barcomb is an Assistant Professor at Durham University's School of Modern Languages and Cultures. His academic work bridges applied linguistics and educational technology, focusing on innovative language teaching methodologies and equitable access to education. Education: PhD in Applied Linguistics and Educational Technology (2021), Concordia University Research interests emphasize computer-assisted language learning (CALL), pronunciation instruction, and AI integration in higher education. He has pioneered university-wide GenAI policy initiatives and founded MAIS Learning, an interactive English program for Japanese youth. Supervision: Currently supervising PhD candidate Hna Frhan Alanzi on doctoral research.

• Computational Linguistics
• Digital Education
• Language Learning Technologies
• +6 more

Dr. Martí Quixal is a Researcher at the University of Tübingen, affiliated with the Tübingen Center for Digital Education (TüCeDE) and the transfer office of the lernen:digital project. His work focuses on bridging schools and research institutions through digital education, with a focus on NLP applications for language learning and adaptive systems. He has previously served as a Research Assistant and Lecturer at the University of Tübingen's Seminar for Linguistics and at the University of Texas at Austin. Martí Quixal's research interests include computational linguistics, digital education, automated feedback systems, and technology transfer in language learning. His projects, such as DigBindiff and ICE3 , explore adaptive support for language learners and the integration of educational technology into school practice. His recent publications address topics such as working memory in ADHD students, automatic annotation of language targets, and NLP challenges in processing informal user-generated content. He has contributed to conferences like LREC, CALICO, and CALL, with a focus on practical implementations of language technology. Dr. Quixal holds a Ph.D. in Computational Linguistics from the Institut Universitari de Lingüística Aplicada at Pompeu Fabra University and has been involved in EU-funded projects like ALLES and AutoLearn , developing controlled language tools and feedback mechanisms for distance learning. He has also worked on Catalan language technology challenges, collaborating with groups like Barcelona Media and the Voice and Language Group. His career spans academia, teacher training, and industry, with a consistent emphasis on practical pedagogical applications of computational linguistics.

Sona MardikyanView profile

Professor

• Information Systems
• Multivariate Statistics
• Data Mining
• +1 more

Prof. Dr. Sona Mardikyan is a faculty member at Bogazici University, specializing in quantitative methods and information systems. Her educational background includes a B.S. in Control and Computer Engineering from Istanbul Technical University, an M.A. in Industrial Engineering from Bogazici University, and a Ph.D. in Business Administration (Quantitative Techniques) from Istanbul University. She teaches courses such as Statistics, Data Mining, Multivariate Statistical Methods, and Information Systems Technologies. Her research focuses on Information Systems , Multivariate Statistics , Data Mining , and e-Learning . She investigates technology adoption patterns, social media analytics, educational technology impacts, and e-commerce optimization, often using advanced statistical modeling and AI techniques. Her publications emphasize emerging technological trends, including AI-driven customer analytics, social media metrics, IoT scientometrics, and digital transformation in education and business. A consistent focus on empirical validation and real-world applications characterizes her work. Awards: Best Paper Award at the 5th International Management Information Systems Conference (2018) for research on call center efficiency using text mining. She actively mentors academic projects and contributes to international conferences, though specific student advisees and grants are not detailed in the source material.

• Second Language Acquisition
• Technology in Language Learning
• Collaborative Writing Tools
• +3 more

Ana Oskoz is a Professor at the University of Maryland Baltimore County (UMBC) in the Department of Modern Languages, Linguistics & Intercultural Communication. She currently serves as Associate Dean in the College of Arts, Humanities, and Social Sciences and chaired her department from 2018 to 2022. Her research focuses on technology-driven second language acquisition. Key areas include: Use of synchronous/asynchronous tools (chats, blogs, wikis) Promotion of cultural discussions through digital platforms Enhancing intercultural competence and FL writing Digital storytelling and Web 2.0 integration in education Recent publications highlight her work with collaborative technologies like Wikis, Screencast-O-Matic, and Microsoft Word for multimodal feedback in FL classrooms. She co-edits the CALICO Journal, contributing to CALL (Computer-Assisted Language Learning) discourse.

Lisha XuView profile

Senior Lecturer

• Teaching Chinese as a Foreign Language
• Chinese Pedagogy
• Technology-Assisted Language Learning
• +4 more

Lisha Xu is a Senior Lecturer in the Department of Asian Studies at Mount Holyoke College , where she teaches Chinese language courses at all levels. Her research focuses on pedagogical innovation in Chinese language education, particularly through technology integration and inclusive teaching practices. Education: M.A., University of Iowa B.A., Shandong University Research Interests: Specializes in Chinese character acquisition, technology-assisted learning (CALL), social media-enhanced pedagogy, blended learning approaches, and inclusive classroom strategies for foreign language education. Her work emphasizes practical applications for beginning to advanced learners. Publication Trends: Recent works demonstrate a consistent focus on integrating technology into Chinese language pedagogy, developing teaching materials, and promoting autonomous learning through digital tools. Publications include textbooks, conference papers on CALL implementation, and research on social media-enhanced learning.

Paul MooreView profile

Senior Lecturer

• Language and Technology
• Sociocultural Theory
• Task-Based Language Teaching
• +4 more

Dr. Paul Moore is a Senior Lecturer at The University of Queensland's School of Languages and Cultures, specializing in Language and Technology and Sociocultural Theory. His research examines how learners, tasks, and sociocultural contexts influence task-based language interaction, performance, and development. Bachelor of Arts, University of Wollongong Masters in Education, University of Wollongong Doctor of Philosophy, Macquarie University His work spans Computer-Assisted Language Learning (CALL) teacher training, sociocognitive interpretations of language testing, and language policy in higher education. Recent projects explore the intersection of language and intercultural communication, particularly in Japanese EFL and Vietnamese contexts. Key research outputs include studies on technology-infused lesson plans in Vietnam, EFL teaching in Chile, and intercultural group assessment. He has secured grants from the British Council and UQ Teaching Innovation Grants (2016-2018). Australian Learning and Teaching Council citation (2008) Supervised 8 PhD students to completion Active in international conferences (AILA, ALAA, TBLT in Asia)

• Computational Linguistics
• Empirical Educational Science
• Intelligent Computer-Assisted Language Learning (ICALL)
• +10 more

Prof. Dr. Walt Detmar Meurers is a Research Professor at the Leibniz Institute for Knowledge Media (IWM) since April 2024, leading the Language and AI in Education research group. Previously, he served as a Full Professor of Computational Linguistics and head of the Theoretical Computational Linguistics group at the University of Tübingen (2008–2024). His career spans roles at The Ohio State University (Assistant to Associate Professor, 2001–2008), Universitet i Tromsø (Professor II, 2013–2016), and University of Tübingen (Lecturer, 1997–2000). His research bridges Computational Linguistics and Empirical Educational Science, focusing on Second Language Acquisition, Intelligent Computer-Assisted Language Learning (ICALL), learner corpora analysis, and linguistic complexity modeling for adaptive educational systems. Key projects include FeedBook (adaptive English learning), MERLIN (learner corpus analysis), and CoMiC (semantic comparison in education). He has contributed to formal syntax-information structure interfaces within the HPSG framework and advocated for integrating linguistic theory with educational technology. Scientific Leadership: Steering Board, LEAD Graduate School and Research Network Steering Committee, Heritage Language Consortium Scientific Advisory Board, CATALPA and SZHB Consultant, EFCAMDAT project Education: PhD in Computational Linguistics, University of Tübingen (2000) MA in Linguistics, Computer Science, Psychology, University of Tübingen (1994) ERASMUS exchange at IRIT, Université Paul Sabatier Impact: Co-authored Language and Computers (freely available as an open-access textbook) Organized workshops: AALL'09, IICALL Advisory roles for start-ups: cabuu, Prosodiya

Lisa ZhangView profile

Assistant Professor

• Computer Science Education
• Machine Learning Education
• Programming Languages Education
• +3 more

Lisa Zhang is an Assistant Professor, Teaching Stream in the Department of Mathematical and Computational Sciences (MCS) at the University of Toronto Mississauga (UTM). She holds cross-appointments at the Institute for the Study of University Pedagogy (ISUP) and the Institute for Management and Innovation (IMI). Her teaching focuses on machine learning, programming languages, and writing across the curriculum (WAC) for computer science students. She coordinates the UTM CS Education Research Group and is known for research in machine learning education and pedagogical strategies for diverse learners. She has taught courses such as CSC311 (Machine Learning), CSC324 (Programming Languages), and CSC338 (Numerical Methods). Notably, she is on sabbatical for the 2025-2026 academic year, during which she will focus on grant-funded work and limited undergraduate collaboration. Zhang's research emphasizes undergraduate research projects, curriculum design, and AI education. She has advised numerous undergraduate students on CS education-related projects, contributing to over two dozen publications in venues like ITiCSE, SIGCSE, and Koli Calling. Her awards include the University of Toronto Cheryl Regehr Early Career Teaching Award (2025) and SIGCSE Best Paper (2023). Her work spans educational technology, mastery learning, and addressing challenges in AI curricula across institutions. She has collaborated with industry and academic partners to develop model AI assignments and pedagogical tools for STEM education.

• Language Learning
• Applied Linguistics
• Virtual Exchange
• +5 more

Dr. Mirjam Hauck is Associate Head for Internationalisation, Equality, Diversity and Inclusion at the School of Languages and Applied Linguistics, Open University. She is a Senior Fellow of the Higher Education Academy and a leading scholar in critical virtual exchange (CVE), focusing on equitable and inclusive online collaborative learning environments. President of the European Association for Computer Assisted Language Learning (EUROCALL) Chair of the Language and Culture Expert Community of the European Association for International Education (EAIE) Associate Editor of the CALL Journal and editorial board member of ReCALL and LLT Her research examines how virtual exchange (VE) perpetuates systemic inequalities related to Western hegemony, technology access, institutional support, language dominance, and socio-political factors. She co-founded UNICollaboration.org and contributed to EU-funded projects like VAMOS, EVOLVE, and ERASMUS+ Virtual Exchange, alongside initiatives by the Stevens Initiative. Scientific awards and distinctions: Senior Fellow of the Higher Education Academy

Richard KernView profile

Professor

• Second Language Acquisition
• Literacy Studies
• Technology in Education
• +3 more

Richard Kern is a Professor of French at the University of California, Berkeley, affiliated with the Department of French. He holds a PhD from UC Berkeley and specializes in literacy studies, second language acquisition, psycholinguistics, and the integration of technology in language education. His research bridges theoretical linguistics with practical pedagogy, emphasizing digital literacies and intercultural communication. Kern has published extensively on topics such as online language exchange, virtual intercultural encounters, and the evolution of CALL (Computer-Assisted Language Learning). His work explores how technology mediates language learning processes, including synchronous communication tools and curriculum development for digital-age language education. He also contributes to debates on pedagogical principles that harmonize social, individual, and material dimensions of language use. Education: PhD in Linguistics, UC Berkeley. Research focuses on digital literacies, the role of technology in second language acquisition, and rethinking language curriculum through literacy frameworks. Recent work analyzes virtual intercultural exchanges, the impact of screens in language teaching, and the sociocultural aspects of online communication. His articles highlight tensions between technological affordances and pedagogical goals, advocating for a balanced approach that leverages digital tools without losing humanistic values. Notable contributions include foundational texts on CALL and electronic literacies, as well as studies on integrating social and cultural dimensions into language teaching. Kern collaborates across disciplines, engaging with sociolinguistics, education technology, and cultural studies to address 21st-century language learning challenges.