Ahmed Ferhadi is a Clinical Professor of Middle Eastern & Islamic Studies at New York University (NYU), specializing in linguistics with a focus on Second Language Acquisition, Sociolinguistics, and Language Testing. He holds a PhD in Linguistics from the University of Michigan (1990), an MA in Teaching Arabic as a Foreign Language (TAFL) from the same institution, and an M.S. in Applied Linguistics from the University of Edinburgh. His teaching career spans institutions like Princeton University, Columbia University, and Kurdish universities such as Salahuddin and Suleimaniyya Universities. He pioneered video-based language performance evaluation methods during his tenure at Middlebury College in 1991, which became a standard practice. Ferhadi has also served in high-level advisory roles, including President of the Association of American Teachers of Arabic (AATA) since 2017 and Distinguished Global Scholar of Kurdish Studies at American University (2010). Research interests include Kurdish language standardization, advanced Arabic pedagogy, and the sociopolitical dimensions of language. His projects include a Kurdish standardization initiative and curriculum development for advanced Arabic learners. Ferhadi has received numerous accolades, including the Golden Teaching Award (NYU 2000) and Top Language Award (U.S. Department of State 2006). His publications span linguistic theory, pedagogical techniques, and cultural studies, with recent works addressing Arabic dialect dynamics and Kurdish language policy. Ferhadi’s work bridges academic rigor with practical applications, emphasizing technology’s role in modern language education.
Guofang Li is a Professor in the Department of Language and Literacy Education at the Faculty of Education, affiliated with the Centre for Early Childhood Education & Research (CECER). Her work centers on bilingual development and literacy education within multicultural contexts, particularly focusing on Chinese-Canadian communities. Her research interests include: Early bilingual development Family literacy practices Early literacy instruction methodologies Early education for minority learners Teacher education for multilingual classrooms Analysis of her 2021-2025 publications reveals a concentrated focus on Chinese-Canadian children's bilingual development, examining home literacy environments, digital technology impacts, and pandemic-related disruptions. She consistently advocates for equity-focused approaches in superdiverse educational settings, emphasizing translanguaging practices and critical perspectives on linguistic justice. Scientific Awards: No awards explicitly mentioned in source materials Advising and Grants: No specific student names or grant information provided in source materials Labs and Teams: Centre for Early Childhood Education & Research (CECER): An interdisciplinary hub facilitating collaborative research between academics, educators, and community partners focused on advancing evidence-based early childhood education practices through longitudinal studies and community-engaged projects.
James S. Kim is a Professor of Education at Harvard University's Graduate School of Education, where he conducts policy-relevant research focused on improving literacy outcomes for low-income students and struggling readers. With an Ed.D. from Harvard University (2002), he leads the READS Lab (Research Enhances Adaptations Designed for Scale in Literacy), a research team that partners with school districts to solve literacy challenges through evidence-based interventions. Dr. Kim's research centers on understanding how building students' domain knowledge and reading engagement can foster long-term improvements in reading comprehension. His work emphasizes experimental design and evidence-based interventions, with a particular focus on addressing educational inequality. His research interests include early education, education policy, evidence-based intervention, human development, inequality and education gaps, informal and out-of-school learning, language and literacy development, and teachers and teaching. Kim's most significant contribution is the Model of Reading Engagement (MORE), a spiraled and sustained content literacy intervention co-developed with schoolteachers that has been shown to improve first to third-grade students' reading comprehension in science, English language arts, and math. Notably, research on MORE meets WWC (What Works Clearinghouse) standards without reservation, and long-term follow-up suggests the intervention's impact persists through fourth grade. His publications reveal a consistent focus on content literacy, domain knowledge development, and transfer effects in reading comprehension. Research on MORE meets WWC standards without reservation Long-term effects of MORE persist through fourth grade Commitment to Open Science principles (open data, open materials, preregistration) As a servant leader, Kim builds long-term partnerships with school districts to implement literacy interventions at scale. His READS Lab promotes open science practices while developing practical solutions to literacy challenges. His research on summer reading interventions, parental text messaging, and classroom-based content literacy approaches demonstrates his commitment to translating research into practice. Kim's current work includes scaling the MORE intervention to improve reading comprehension for high-needs students in moderate to high poverty schools through a Department of Education-funded project (2024-2028).
Alison Louise Bailey is a Professor and Division Head in Human Development & Psychology at UCLA's Graduate School of Education and Information Studies. She specializes in developmental psycholinguistics, focusing on multilingual education, academic language pedagogy, and assessment practices for English learners. Education: Ed.D. and Ed.M. from Harvard University; B.A. (Hons) in Linguistics with a minor in American Literature from The University of Hull, England Her research explores language learning progressions, equity in educational assessment, and the intersection of language with STEM disciplines. She leads two U.S. Department of Education-funded ExcEL Peer Network projects and collaborates on NSF and W.T. Grant Foundation grants. Recent publications emphasize translanguaging, automated language assessment, and bias mitigation in educational technologies. Her work integrates Bayesian modeling for dual-language immersion outcomes and examines racial injustices in assessment systems. Awards: Bobbie and Mark Greenfield Distinguished Faculty Award, Haynes Foundation Faculty Fellow, Harold and Lois Haytin Award, Ann C. Rosenfield Distinguished Community Partnership Prize She contributes to national assessment policy as a NAEP Reading Standing Committee member and NCME Classroom Assessment Task Force Co-Chair, advocating for culturally responsive assessment frameworks.
Andrew Lan is an Associate Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where he also serves as the CS Undergraduate Program Director. He was granted tenure by the UMass Board of Trustees in June 2025 and is currently on leave through Spring 2026. His research focuses on developing human-in-the-loop machine learning methods to enable scalable, effective, and personalized learning experiences in education. Dr. Lan received his BS in Physics and Mathematics from the Hong Kong University of Science and Technology, followed by his MS (2014) and PhD (2016) in Electrical and Computer Engineering from Rice University. He completed postdoctoral research at Rice University (2016) and Princeton University's EDGE Lab (2017-2018). His research spans artificial intelligence for education, with particular expertise in educational data mining, knowledge tracing, personalized learning systems, and human-AI collaboration in educational contexts. Dr. Lan's work leverages massive and multimodal learner and content data collected from both traditional classrooms and online learning platforms to develop systems that deliver high-quality, affordable, and personalized learning experiences. He has made significant contributions to areas including computerized adaptive testing, math word problem generation, student affect detection, and automated grading systems. His recent work increasingly focuses on leveraging large language models for educational applications while maintaining rigorous scientific validation of these approaches. Best Student Paper Award at the 2024 AIED Conference (with Alexander Scarlatos) Best Paper Nominee at LAK 2021 Best Student Paper Award at IEEE Big Data 2020 NAEP Math Automated Scoring Challenge Grand Prize Winner Dr. Lan actively mentors graduate students and postdoctoral researchers, with several of his advisees receiving recognition for their work. He has secured substantial funding from the National Science Foundation, including a $90M grant for the SafeInsights project, a secure cyberinfrastructure for educational research. His research group collaborates with institutions including Worcester Polytechnic Institute, University of Pennsylvania, and Rice University. He teaches undergraduate and graduate courses including COMPSCI 240 (Reasoning under Uncertainty) and COMPSCI 590OP (Applied Numerical Optimization), with a focus on the practical application of theoretical concepts in machine learning and artificial intelligence. His educational philosophy emphasizes bridging the gap between theoretical foundations and real-world implementation in educational technology.
Jonathan F. Zaff serves as Chair of the Department of Applied Psychology and Professor at Northeastern University's Bouvé College of Health Sciences. A developmental psychologist, he focuses on creating conditions for youth thriving, particularly among historically oppressed populations, through community-engaged research and leadership in youth development initiatives. Dr. Zaff's educational background includes: PhD in Psychology (Lifespan Development) from The University of Georgia MS in Psychology from The University of Georgia BA in Psychology (Government minor) from Connecticut College His research centers on positive youth development frameworks, examining how social support networks ('webs of support') influence educational, vocational, and social-emotional outcomes. Key areas include youth civic engagement, pathways for non-graduating high school students, and community initiatives promoting youth thriving, with emphasis on equity and resilience among marginalized youth. Analysis of Dr. Zaff's 2016-2021 publications reveals consistent methodological diversity (pattern-centered approaches, latent class analysis) applied to social support structures. His work demonstrates how multi-layered adult and community supports drive educational persistence among English learners, high-risk youth, and those navigating childhood adversity, with strong translational impact on youth development programs. Scientific Awards: None documented in provided materials. Dr. Zaff actively mentors graduate students, evidenced by asterisked co-authors across publications including M. Margolius, C. Tang, and J. Pan. His founding of major research centers (CERES Institute, Center for Promise) indicates substantial grant leadership, though specific funding mechanisms aren't detailed. He established and directed Boston University's CERES Institute for Children & Youth, conducting community-engaged applied research, and founded the Center for Promise (America's Promise Alliance research division), demonstrating commitment to collaborative, action-oriented youth development science across institutional settings.
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)
Sven Bölte is a Professor at Karolinska Institutet where he leads the research group focused on Autism, ADHD and other developmental neurological conditions as part of the Center for Neurodevelopmental Disorders (KIND). His work bridges clinical research, education, and practical implementation of evidence-based approaches for neurodevelopmental conditions. Professor Bölte's research spans multiple domains within neurodevelopmental disorders, with particular emphasis on implementing the International Classification of Functioning, Disability and Health (ICF) Core Sets for autism and ADHD using digital solutions. His group has developed and evaluated social skills training programs (KONTAKT, SKOLKONTAKT, iKONTAKT) for autistic children and adolescents, conducted twin research through the Roots of Autism and ADHD Twin Study in Sweden (RATSS), and advanced diagnostic instruments for autism, ADHD, social cognition, and adaptive behavior. His recent publications reveal a strong focus on translating research into practice, with significant work on strengths-based approaches, social inclusion, neurodiversity-affirmative assessment, and the development of practical tools for clinicians and educators. The research demonstrates increasing attention to adult experiences of autism, cross-cultural validation of interventions, and the integration of digital technology in assessment and intervention. Bölte's group also delivers extensive educational components for professionals through KI-Utbildning (Assignment Education), making it one of the largest providers of training on diagnosis and support for individuals with developmental neurological conditions within Karolinska Institutet. His work frequently addresses policy implications, as evidenced by participation in Swedish parliamentary discussions about autism and ADHD.
Hong Huaqing is a Professor and doctoral supervisor at the Corpus Research Institute of Shanghai International Studies University. He holds roles as honorary director of the Chinese Corpus Linguistics Research Association and international expert at Peking University's Education Development Center. Formerly, he worked at Nanyang Technological University (Singapore) in roles such as researcher at the Learning Research and Development Center and director of the e-Learning Center of the Lee Kong Chian School of Medicine. His research spans machine translation, natural language processing, corpus linguistics, and educational technology. He supervises master's and doctoral students, co-supervises postdoctoral researchers, and focuses on smart education driven by big data analysis and innovative learning ecosystems. Research emphasizes corpus-based methods applied to language education, including computational frameworks for student engagement, wearable sensors in learning analytics, and cross-linguistic rhetoric studies. His work bridges technological innovation (e.g., AI-driven tutorial systems) with pedagogical practice, addressing challenges in non-English language education and teacher training.
Georgios Neokleous is a Professor of English in the Department of Teacher Education at the Norwegian University of Science and Technology (NTNU), within the Faculty of Social and Educational Sciences. He holds a PhD in Education from Saint Louis University (2014), focusing on home language use in EAL classrooms. His career began as an EFL/ESL teacher, with extensive experience across Europe and the U.S., and he has developed specialized courses for diverse learner groups. Neokleous’ research emphasizes multilingualism, translanguaging pedagogy, and inclusive literacy practices in linguistically diverse classrooms. Education: PhD in Education, Saint Louis University, 2014 Masters and Bachelor’s degrees (implied, not explicitly stated) Research Interests: Neokleous explores the integration of students’ home languages in EAL settings, translanguaging as a pedagogical tool, and assessment strategies in multilingual environments. His work bridges theory and practice, addressing challenges in teacher education and classroom diversity. Recent trends in his publications highlight cross-national comparisons (e.g., Norway-Cyprus studies), innovative teaching methodologies, and the role of technology in modern classrooms. Advising & Grants: Supervises students at BA, MA, and PhD levels. Collaborates with international researchers like Anna Krulatz and Sviatlana Karpava. Active in organizing academic events, including TESOL International and ECER conferences. Labs/Teams: Engaged in collaborative research groups focused on multilingual education, such as the ‘Learning and Teaching English in the Multilingual Classroom’ initiative. His work often intersects with institutions like the University of Cyprus and Multilingual Matters publishing.
Dongwook Yoon is an Associate Professor at the Department of Computer Science , University of British Columbia , and serves as Director of the SOCIUS Lab . He actively contributes to research in Human-Computer Interaction, Human-AI Interaction, and Virtual/Augmented Reality as a member of the Designing for People (DFP) and CAIDA research clusters. Education : PhD in Computer Science from Cornell University (2017), MS (2009) and BS (2007) in Computer Science from Seoul National University Research Focus : Designing socio-technical systems that bridge the gap between technology and human social processes, with innovations in AR/VR, multimodal interaction, and inclusive design Article Trends show his work spans: Temporal and bichronous learning environments AI self-clones and ethical implications Income inequality in virtual platforms Enhanced multimodal collaboration in VR Eyes-reduced interfaces for situational impairments Speculative participatory design for gig economy challenges Scientific Awards include: Google Academic Research Award (2024) Best Paper Award at CHI 2024 High Impact Award in Educational Technology (2024) CHCCS/SCDHM Graphics Interface Early Career Award (2023) Multiple Honorable Mentions at CHI, DIS, and CSCW Students & Collaborators range from active PhD candidates (Anika Sayara, Yuri Kim) to notable alumni (Thitaree Tanprasert, Ashish Chopra) across his SOCIUS Lab projects. His research receives funding from NSERC , KIST , Adobe , Microsoft , and Google grants.
Dr Isobelle Clarke is a Lecturer in Security and Protection Science at the School of Social Sciences, Lancaster University. Her work bridges corpus linguistics, forensic linguistics, and sociolinguistics with a focus on media and social media discourses. Research Overview Current projects: Leverhulme-funded investigation of anti-science discourses (anti-vaccination, climate denialism, anti-GMO) Core Methodologies: Corpus analysis, discourse analysis, authorship attribution Her recent publications explore: Climate change denialism across conspiracy platforms Vaccine conspiracy theories on social media Representation of religion in press Spoken language patterns in American English She supervises PhD student Xinran Wang and contributes to academic activities like the FACTOR Summer School and Lancashire Cyber Education Week. Her work integrates computational methods with critical discourse analysis.
Professor Katja Vogt is a distinguished faculty member in the Department of Philosophy at Columbia University's Faculty of Arts and Sciences. She serves as Professor of Philosophy, Director of the M.A. Program in Philosophy, and Chair of the Climate Committee. Additionally, she is an Affiliate of the Data Science Institute and has affiliations with Computing Systems for Data-Driven Science, Data, Media and Society, and Health Analytics. Professor Vogt joined Columbia University in 2002 after teaching at Humboldt University Berlin, both in the Philosophy Department and at the Charité Medical School. Professor Vogt specializes in ancient philosophy, ethics, and normative epistemology, with particular expertise in Plato, Aristotle, Stoicism, and Pyrrhonian skepticism. Her research explores fundamental questions that bridge ancient and contemporary philosophical discussions: What are values? What kind of values are knowledge and truth? What does it mean to want one's life to go well? She has developed significant work on the role of knowledge in ethics, generics and generalizations, and is currently finalizing a monograph entitled The Original Stoics . Her approach combines careful historical scholarship with contemporary philosophical analysis, creating dialogues between ancient texts and modern debates in metaethics, epistemology, and philosophy of action. Professor Vogt's scholarly output reveals consistent engagement with ancient philosophical frameworks while addressing contemporary concerns. Her recent work shows a particular focus on Stoic philosophy, with multiple papers examining Stoic logic, physics, and ethics. She also maintains a strong interest in skepticism, particularly Pyrrhonian approaches, and has made significant contributions to understanding how ancient philosophical concepts can inform current debates about generics, value theory, and the relationship between knowledge and virtue. Her collaborative work with Jens Haas on topics like ignorance, love, and hatred demonstrates her interdisciplinary approach that connects ancient philosophy with contemporary philosophical issues. Columbia Distinguished Faculty Award Class of 1932 Fellow in Classical Philosophy at Princeton University Fellowships from the Templeton Foundation, Maimonides Centre in Hamburg, Center for Advanced Studies in Munich, DFG (German Research Association), and Columbia University-Paris 1 Alliance Program Professor Vogt is actively involved in mentoring students and developing innovative educational approaches. She serves as academic sponsor for "Logic Made Accessible," a project mentored with Columbia College student Jonathan Tanaka that has reached students in over 30 countries. The project makes ancient logic freely accessible to learners of all ages, backgrounds, and interests. She has also served on numerous university committees including the Provost's Faculty Committee on Educational Innovation, Policy and Planning Committee, Committee on Instruction, and as Acting Director of the Center for the Ancient Mediterranean. Her grant work includes support from major foundations that have enabled her to pursue research at the intersection of ancient philosophy and contemporary epistemology. Professor Vogt collaborates with photographer and artist Jens Haas on the "On the Road" project, which combines artistic photography with philosophical reflection. She is also involved in "Movies and Morals," a collaboration with H8URS that provides philosophical commentary on contemporary film and television. These projects demonstrate her commitment to making philosophical inquiry accessible beyond traditional academic settings.
Dr. Wanju Huang is a Clinical Assistant Professor in the Learning Design and Technology program at Purdue University , where she focuses on enhancing online learning experiences through innovative instructional design and emerging technologies. Prior to joining Purdue in Fall 2016, she served as an instructional design manager at Teaching and Learning Technologies and spent six years as a lecturer and instructional designer at Eastern Kentucky University. Education: Ph.D. in Curriculum & Instruction (Technology concentration) from University of Illinois at Urbana-Champaign Her research interests center on technology-mediated online communities, instructor presence in digital learning, augmented reality applications, and faculty development programs. She has published extensively on these topics, including studies on multimedia interventions for teaching presence, immersive technologies in ESL education, and adaptive cyber training platforms. Dr. Huang's publications reflect a strong focus on EdTech innovation , with trends spanning AI integration in K-12 , model-based systems engineering , and microlearning strategies . Her work bridges theoretical frameworks like social constructivism with practical implementations in professional education. Professional memberships include the American Educational Research Association, Association for Educational Communications and Technology, and Quality Matters. She teaches courses on learning design foundations, e-learning systems, and professional competency demonstrations in LDT.
Chicheng Zhang is an Assistant Professor in the Computer Science Department at the University of Arizona, where he conducts research in the theory and applications of interactive machine learning. He earned his Ph.D. in Computer Science from the University of California, San Diego (UCSD) in 2017 under the supervision of Professor Kamalika Chaudhuri, and was previously an undergraduate student at Peking University working with Professor Liwei Wang. From 2017 to 2019, he was a postdoctoral researcher at the Machine Learning Group at Microsoft Research NYC. His research lies at the intersection of learning theory and practical algorithm design, focusing on interactive machine learning paradigms such as reinforcement learning, contextual bandits, active learning, and imitation learning. He aims to develop algorithms that are data-efficient, computationally tractable, and robust, with applications in healthcare, wireless communication, and fair AI systems. His work emphasizes principled algorithm design with theoretical guarantees and empirical validation. The most recent publications reflect a strong trend in developing efficient, theoretically grounded methods for sequential decision-making and interactive learning. Key themes include sample efficiency, robustness to noise, fairness in algorithmic decisions, and application-driven research in domains like oral cancer detection and mmWave network optimization. His work frequently bridges theoretical analysis with real-world deployment considerations. While no scientific awards are mentioned in the provided text, Dr. Zhang actively mentors prospective PhD students and encourages collaboration. He has contributed to interdisciplinary projects involving fairness-aware bandit algorithms for network coexistence, interpretable classifiers for cancer detection, and LLM-based initialization for reinforcement learning. His lab focuses on developing intelligent agents that actively learn from environments and human experts. He can be reached at chichengz@arizona.edu .
