جستجوی استاد راهنمای دانشگاهی

Haijun Xiaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Human-AI Collaboration
• Interface Design
• +۲ مورد دیگر

Haijun Xia is an Assistant Professor at the University of California, San Diego (UCSD), where he directs the Foundation Interface Lab and contributes to the Cognitive Science and Design Lab. His work focuses on Human-Computer Interaction (HCI) and Human-AI Collaboration , emphasizing the development of dynamic, malleable interfaces that integrate human cognition with intelligent systems to enhance thinking and working paradigms. Education: Bachelor's, Tsinghua University Master's and PhD, University of Toronto His research spans generative AI , interface design , and creative collaboration , with applications in data visualization, programming, and scholarly work. He advocates for treating information as a malleable material that can be flexibly manipulated by users and AI agents. Recent publications highlight advancements in: 2025 CHI Conference - Generative user interfaces, malleable overview-detail designs, and compositional structures for human-AI co-creation 2024 CHI Conference - Structured design space exploration with LLMs, ASCII diagram analysis, and adaptive presentation systems 2023 CHI/UIST Conferences - Data particle visualization, contextual logging tools, and metaphor generation for science communication Scientific recognitions include: Multiple Best Paper Awards and Honorable Mentions at CHI and UIST Hellman Fellowship and grants from NSF , Microsoft , Google , Meta , Apple , and Adobe He actively recruits undergraduate and graduate interns and has an upcoming postdoc position in early 2025 for researchers interested in foundational interface development.

Martin Willis Monroeمشاهده پروفایل

استادیار

• Ancient Middle Eastern History
• Cuneiform Studies
• Astronomy and Astrology in Mesopotamia
• +۳ مورد دیگر

Martin Willis Monroe is an Assistant Professor in the Department of Classics and Ancient History at the University of New Brunswick. His research focuses on the ancient Middle East, particularly cuneiform cultures, with an emphasis on the history of scholarly knowledge in Babylonian and Assyrian societies. He specializes in Mesopotamian astronomy and astrology, as well as quantitative approaches to historical data. Dr. Monroe holds a PhD in Assyriology from Brown University (2016), an MPhil and BA in Ancient Near Eastern Studies from the School of Oriental and African Studies (2008, 2007). Previously, he served as a postdoctoral fellow and research associate at the University of British Columbia (2016–2023). His current projects include the publication of his Hellenistic astrology research under contract with Brill, titled Celestial Schemata: A Series of Astrological Tables from Seleucid Babylonia , and his role as associate director of the Database of Religious History , a global initiative to quantitatively analyze religious and cultural data. He has contributed to excavations at the Neo-Assyrian site of Tušhan in southeastern Turkey and advocates for responsible qualitative-to-quantitative data conversion in historical scholarship. Dr. Monroe’s research bridges traditional philological approaches with digital humanities, focusing on topics such as cuneiform astral diagrams, the intersection of ‘scientific’ and ‘religious’ texts in antiquity, and the application of computational methods to undeciphered scripts. He teaches courses on ancient civilizations, Near Eastern history, and archaeology.

Tanja Käserمشاهده پروفایل

استادیار

• Machine Learning
• Educational Data Mining
• Learning Analytics
• +۳ مورد دیگر

Tanja Käser is a Tenure Track Assistant Professor at EPFL's School of Computer and Communication Sciences (IC), leading the Machine Learning for Education Laboratory (ML4ED). Her interdisciplinary research bridges machine learning, data mining, and educational technology, focusing on personalized learning systems and human behavior modeling. PhD in Computer Science (ETH Zurich, 2015) - honored with Fritz Kutter Award Former Senior Data Scientist at Swiss Data Science Center (ETH Zurich) Postdoctoral Researcher at Stanford University's Graduate School of Education Research Focus Explainable AI for education Adaptive learning environments Behavioral pattern recognition Generative AI applications in pedagogy User modeling and personalization Learning analytics in unstructured settings Recent Publication Trends Her 2024-2023 work demonstrates: Interpretable clustering of learners Transformer-based language learning prediction GAN applications for creative education Teacher-AI collaboration frameworks Explainability validation methods Modular network architectures Scientific Recognition Fritz Kutter Award for best Swiss computer science thesis (2015) Advising & Collaborations Currently supervises multiple PhD students including: Cock Jade Maï L Glandorf Dominik Güres Fatma-Betül Neshaei Seyed Parsa Radmehr Bahar Shibu Abhinand Shved Ekaterina Research Infrastructure Operates from EPFL's ML4ED laboratory with hybrid on-site and digital educational systems research capabilities.

Courtney Rivardمشاهده پروفایل

استادیار

• Digital Humanities
• Digital Rhetorics
• Critical Game Studies
• +۳ مورد دیگر

Courtney Rivard is an Assistant Professor in English & Comparative Literature at the University of North Carolina, Chapel Hill, with a secondary appointment at the School of Data Science & Society. She directs the Digital Literacy and Communications (DLC) Lab, focusing on digital humanities, critical game studies, and archival rhetorics. Her research bridges rhetoric, digital methods, and social justice, examining how archives and digital tools shape narratives around race, gender, and national identity. Dr. Rivard holds a Ph.D. from the University of California, Santa Cruz (2012). Her book Layered Lives (2022) combines archival and computational methods to analyze Depression-era life histories. She has secured grants from NEH, ACLS, and UNC initiatives, supporting projects like the Critical Gaming Initiative and oral history archives on PFAS contamination. Her teaching emphasizes digital literacy and public engagement, including courses on data rhetoric, game studies, and multimodal composition. The DLC Lab hosts the Greenlaw Gameroom, a game-based classroom funded by Lenovo, fostering critical pedagogies through play. Research Labs: Digital Literacy and Communications Lab, Greenlaw Gameroom Grants: NEH, ACLS Digital Extension Grant, UNC Arts & Humanities Fellowships Key Projects: Critical Gaming Initiative, Photogrammar collaboration, “Forever Chemicals” oral history archive

Nick Montfortمشاهده پروفایل

استاد

• Digital Media
• Electronic Literature
• Computational Poetry
• +۳ مورد دیگر

Nick Montfort is a Professor of Digital Media at Massachusetts Institute of Technology (MIT) and Professor II & Principal Investigator at the University of Bergen 's Center for Digital Narrative. He directs MIT's Trope Tank lab/studio and contributes to platform studies, critical code studies, and electronic literature. Ph.D. in Computer and Information Science from University of Pennsylvania (2007) M.A. in Creative Writing (Poetry) from Boston University (2001) S.M. in Media Arts and Sciences from MIT (1998) B.S./B.A. in Computer Science and Liberal Arts from University of Texas at Austin (1995) Montfort's research focuses on computational creativity and digital poetics , particularly through exploratory programming and constraint-based writing . He has developed over ten computer-generated print books and co-edited MIT Press volumes like The Future and The New Media Reader . His work bridges computer science and literary arts , emphasizing algorithmic expression and platform-specific creation. His recent computational works include All the Way for the Win (2025), written entirely in three-letter words, and collaborations like The Deletionist and Sea and Spar Between . Notable books cover interactive fiction ( Twisty Little Passages ), platform studies ( Racing the Beam ), and generative literature ( 10 PRINT ). He also co-edits the Hardcopy and Using Electricity book series. Montfort's academic contributions span digital narrative systems , creative code , and computer-generated literature . His 101 BASIC Poems and Output: An Anthology of Computer-Generated Text exemplify his focus on code as cultural artifact and algorithmic literary practice . He has presented at major conferences including ELO, C&C, and Digital Arts and Culture, addressing topics from minimalist computational poems to narrative modeling . Through collaborations with institutions like University of Bergen and MIT's Comparative Media Studies/Writing, Montfort explores digital storytelling , machine-generated poetry , and platform-specific creativity . His academic leadership includes directing the Trope Tank and co-founding Bad Quarto press.

• 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.

Alexandra Gillespieمشاهده پروفایل

استاد

• Book History
• Early Medieval Literature
• Late Medieval Literature
• +۳ مورد دیگر

Alexandra Gillespie is a Professor at the University of Toronto Mississauga (UTM), where she also serves as Vice-President and Principal. She is a leading scholar in book history and medieval literature, with a focus on the interplay between text technologies, literary theory, and cultural heritage. Her work bridges disciplines, connecting historical and global perspectives through collaborative research. Hons. BA, Victoria University of Wellington MSt and DPhil in English, University of Oxford Her research spans medieval and early modern literary studies, book history, and digital humanities. She has co-edited major publications on premodern text production and authored the seminal monograph Print Culture and the Medieval Author , which remains highly cited in the field. Gillespie co-founded the Old Books New Science Lab (OBNS) at UTM and St George campuses, fostering interdisciplinary research in medieval bookbinding, computational humanities, and manuscript studies. Her recent scholarship focuses on the global history of the book, including the Mellon-funded Hidden Stories project, which involves over 130 collaborators from 60 institutions. Key themes in her publications include manuscript-aesthetic form, print invention, and philological approaches to medieval texts. She has contributed to foundational handbooks in Chaucer and novel studies. At UTM, Gillespie mentors undergraduate research assistants, graduate students, and postdoctoral fellows, integrating pedagogy with her research on textual materiality. She actively collaborates with international networks and institutions, such as the Aga Khan Museum, where her work on The Book and the Silk Roads was exhibited.

Hong Huaqingمشاهده پروفایل

استاد

• Corpus Linguistics
• Computer-Assisted Instruction
• Machine Translation
• +۳ مورد دیگر

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.

Dongwook Yoonمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human-AI Interaction
• Virtual and Augmented Reality
• +۳ مورد دیگر

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.

ChanMin Kimمشاهده پروفایل

استاد

• Educational Technology
• Computer Science Education
• Science Writing
• +۳ مورد دیگر

ChanMin Kim is a Professor in the Learning and Performance Systems department at Penn State College of Education. With over 80 publications and 2553 citations, their work focuses on integrating artificial intelligence , robotics , and educational technology into science and computer science education. Research interests: Science writing, AI-human partnerships, robotics in education, equity-focused technology design Key methodologies: Natural Language Processing, learning analytics, scaffolding strategies Recent work explores large language models in education, debugging processes in pre-service teacher training, and automated assessment systems for science explanations. While the provided data doesn't show specific scientific awards or student advisees, their publications in venues like British Journal of Educational Technology and Journal of Science Education and Technology demonstrate significant contributions to learning sciences. Kim collaborates extensively with researchers in AI, educational technology, and equity-focused domains.

Alfredo Capozuccaمشاهده پروفایل

پژوهشگر

• Software Engineering
• Dependable Systems
• Computing Education
• +۳ مورد دیگر

Alfredo Capozucca is a full permanent Researcher at the Department of Computer Science (DCS) within the Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg. He holds a PhD in Computer Science from the University of Luxembourg (2010) and an M.S. from the National University of Rosario, Argentina (2003). His research focuses on modern software engineering methods, dependable systems, and computing education, with an emphasis on formal verification and sustainable computing practices. Capozucca has contributed to the design of courses at undergraduate and master's levels, including serving as Deputy Programme Director for the BSc in Computer Science from 2021-2024. His work bridges theoretical foundations with practical applications in education and industry. Research interests prominently include AI in education (e.g., ChatGPT's role in formal specification writing), formal verification techniques, and the integration of DevOps philosophies into academic curricula. He has authored numerous papers on topics ranging from security policy analysis to energy-efficient transactional models. Capozucca's contributions extend to open-source projects and tool development, such as the Messir UML requirements engineering tool. His teaching spans software engineering fundamentals, dependability, and modern DevOps practices, reflecting a commitment to aligning education with industry needs. Key professional roles include R&D engineer positions (2004-2006) and leadership in educational program design. His research infrastructure is based at the Maison du Nombre facility in Luxembourg. While no specific grants or awards are listed, his extensive publication record and teaching contributions highlight sustained academic engagement.

• Natural Language Processing
• Artificial Intelligence
• Computational Argumentation
• +۳ مورد دیگر

Christina Niklaus is an Assistant Professor in the Department of Computer Science at the University of St. Gallen (HSG). Her research focuses on Natural Language Processing (NLP), Artificial Intelligence (AI), and Computational Argumentation, with an emphasis on text simplification, knowledge representation, and responsible AI. She leads the project 'Conversational AI: Dialogue-based Adaptive Argumentative Writing Support' funded by SNSF Basic Research (2022–2026). Education : Ph.D. in Computer Science, University of Passau, Germany (2022) M.Sc. in Computer Science, University of Passau, Germany (2016) B.Sc. in Applied Computer Science, University of Bamberg, Germany (2011) Research Interests : Christina Niklaus develops AI systems to bridge complex information with human understanding, emphasizing accessibility and ethical integrity. Her work includes: Context-aware NLP systems for simplifying technical texts Computational tools for enhancing argumentation skills in academic writing Open Information Extraction (OIE) for structured knowledge representation Responsible AI frameworks ensuring fairness and transparency Recent Article Trends : Her recent work explores large language models (LLMs) in education, discourse-aware text simplification, and argument quality assessment. Key contributions include applying FinBERT for financial text analysis and developing adaptive writing support systems. Awards : Best Paper Award (ECEI 2024) Best Paper Nomination (CSEDU 2023) Nominated for GI-Dissertationspreis (2022) delina Innovation Award (2021) Teaching & Grants : Teaches Database Systems and Advanced Databases at HSG Principal investigator of multiple grants including SNSF Basic Research Labs/Teams : Her research group focuses on interdisciplinary AI applications in education and argumentation, collaborating with institutions like LEARNTEC and CHI.

Jason Thamمشاهده پروفایل

دانشیار

• Technical Communication
• User Experience (UX) & Usability Studies
• Design Thinking
• +۶ مورد دیگر

Jason Tham is an Associate Professor and Assistant Chair in the Department of English at Texas Tech University, where he teaches undergraduate and graduate courses in UX research, information design, instructional design, and digital rhetoric. His research focuses on design thinking, user experience, emerging technologies, and technical communication pedagogy. He directs the UX Research Lab and serves as faculty sponsor for the TTU Society for Technical Communication Student Chapter. PhD in Rhetoric & Scientific & Technical Communication, University of Minnesota (2019) MA in English: Rhetoric & Writing, St. Cloud State University (2014) MS and BS in Mass Communication, St. Cloud State University Tham's research explores the intersection of design thinking, immersive technologies, and equitable pedagogy. Current projects include studies on AI user experience, collaborative writing in virtual reality, and the social justice implications of design thinking methodologies. He has received awards such as the Ellen Nold Award for Computers and Composition, TTU's Excellence in Research Award, and the Frank R. Smith Outstanding Article Award. Tham serves as Vice President of the Council for Programs in Technical and Scientific Communication and will assume the editorship of Computers and Composition in 2025.

• Mathematics Education
• Geometry
• Pedagogy
• +۲ مورد دیگر

Michael Weiss is a Lecturer in the Department of Mathematics at the University of Michigan. He teaches foundational courses such as Linear Algebra (MATH 217) and Explorations in Euclidean Geometry (MATH 431). His office is located in East Hall (Room 1868) at 530 Church Street, Ann Arbor, MI. Current Courses: MATH 217-004 (Linear Algebra), MATH 217-011 (Linear Algebra), MATH 431-001 (Explorations in Euclidean Geometry) Weiss’s research focuses on mathematics education, particularly on pedagogical strategies for teaching geometry and mathematical reasoning. His work explores the use of visual representations, interactive technologies, and narrative tools (e.g., comics) to enhance learning and teacher development. He emphasizes the role of theory-building in secondary geometry instruction and investigates how students translate abstract mathematical concepts into concrete reasoning. His publications highlight interdisciplinary approaches to education, integrating technology (e.g., animated stories, voice assistants) with traditional teaching methods. Keywords across his work include Mathematics Education , Geometry , Interactive Media , Visual Learning , and Teacher Training . Contact: mweiss@umich.edu

David Wrightمشاهده پروفایل

استاد

• Smart Home Technology
• Artificial Intelligence
• Usability Studies
• +۳ مورد دیگر

Dr. David Wright is a Professor in the Department of English and Technical Communication at Missouri University of Science and Technology (Missouri S&T). He joined the faculty in 2007 after prior roles at NASA’s Education Project, Oklahoma state government, and the software industry. He holds a Ph.D. in Technical Communication (Oklahoma State University, 2007), an M.S. in Higher Education Administration (1996), and a B.S. in Organizational Psychology (1993), all from Oklahoma State University. His research focuses on smart home technology and artificial intelligence, particularly examining human-AI interaction through usability and user experience (UX) testing. He also explores technology diffusion, technical communication practices in emerging technologies, and educational methodologies for technical fields. His work integrates interdisciplinary approaches, blending engineering, sociology, and computer science. Recent publications highlight his contributions to IoT usability, smart home adoption challenges, and the intersection of AI ethics with virtual assistants. He has also authored studies on knowledge graph design, technical documentation in software development, and educational initiatives in computer science and healthcare. Dr. Wright teaches courses in technical writing, usability studies, and web-based communication. His academic service includes curriculum development and advising on technical communication pedagogy. While no specific awards are listed, his extensive publication record reflects sustained scholarly impact in his fields.