جستجوی استاد راهنمای دانشگاهی

Jennifer Richards serves as a Research Assistant Professor at Northwestern University's School of Education and Social Policy, Evanston, IL. Her work bridges science education research and K-12 classroom practice through research-practice partnerships focused on teacher learning and responsive pedagogy. Her educational background includes: PhD in Science Education, University of Maryland (2013) MEd in Secondary Science Education, University of Maryland (2008) BA in Biology and Political Science, University of Delaware (2006) Richards' research examines responsive learning environments that center students' ideas and experiences, alongside teacher practice dynamics across contexts. She employs discourse analysis and situative perspectives to investigate how teachers develop responsiveness to student thinking, particularly in science education settings. Her collaborative approach involves co-designing professional learning with educators to foster equitable classroom practices. Analysis of her 2020-2025 publications reveals consistent focus on teacher noticing, video-based professional development, and responsiveness mechanisms. Key trends include developing tools for analyzing classroom discourse (e.g., framing analysis lite), examining aesthetic dimensions of teaching, and exploring how teachers learn from self-captured classroom videos across mathematics and science contexts. No scientific awards were documented in the provided materials. Richards actively cultivates research-practice partnerships (RPPs) with school districts, evidenced by projects like expanding understanding of video-mediated teacher learning. While specific grant details are absent, her collaborative publications (e.g., Thompson et al., 2019 on networked PLCs) demonstrate sustained engagement with educational institutions to improve teaching practices. She collaborates extensively with scholars like Miriam G. Sherin in the Learning Sciences community, contributing to professional learning communities and video analysis initiatives. Her current work involves studying mechanisms for teacher learning from classroom video, though no dedicated lab name is specified in the materials.

• Teacher Learning
• Responsive Learning Environments
• Science Education
• +۳ مورد دیگر

Prof. Dr. Poldi Kuhl is a Professor of Educational Psychology at Leuphana University , Lüneburg, since 2021. Affiliated with the Institute of Psychology in Education (IPE) and the Center for Empirical Research on Language and Education (ERLE) , Kuhl specializes in educational psychology, developmental psychology, and inclusive education. Their research focuses on data-driven decision-making, digital learning platforms, academic language demands, and teacher professional development. Education: Diploma in Psychology (2003) and PhD in Philosophy (2008) from Freie Universität Berlin. Kuhl’s recent work examines how academic language features affect learning outcomes, digital data utilization in primary education, and mental health literacy among teachers. Their publications span topics from virtual reality training tools to inclusive teaching strategies in mathematics. Kuhl’s career includes leadership roles at the Research Data Center (FDZ) at the Institute for Quality Improvement in Education (IQB) and a Junior Professorship at Leuphana University. They have collaborated with institutions like the Universitat Oberta de Catalunya and the Max Planck Institute for Human Development .

• Educational Psychology
• Developmental Psychology
• Digital Learning Platforms
• +۴ مورد دیگر

Jill M Castek is Professor of Literacy, Technology & Bi/multilingual Learners & STEM Education in the Department of Teaching, Learning, and Sociocultural Studies at the University of Arizona's College of Education. As Graduate Advisor for the Second Language Acquisition and Teaching (SLAT) program and Co-Director of the Digital Innovation and Learning Lab (DIALL), she bridges research and practice in digital literacy development. Dr. Castek earned her PhD in Education Psychology (Cognition and Instruction) from the University of Connecticut as a Neag fellow in the New Literacies Research Lab, followed by postdoctoral work at UC Berkeley's Lawrence Hall of Science. Her research examines how digital, visual, and audio storytelling fosters literate capacities across print and digital forms in classrooms and community spaces. Her work centers on digital problem solving , critical media literacy , and equity-centered making practices in STEM education. She investigates intersections of disciplinary literacy, new media, and learning for bi/multilingual students, with strong emphasis on community-based applications through libraries and non-profits like Literacy Connects where she serves on the board. Recent publications (2022-2025) reveal growing focus on AI-era teacher education , digital health literacy , and misinformation challenges , while maintaining core commitments to collaborative problem solving and expansive literacies frameworks. Her scholarship consistently addresses K-12 and adult learning contexts through interdisciplinary lenses. Scientific recognition includes: Neag fellowship during doctoral studies As Principal Investigator on NSF and IMLS grants, Dr. Castek advances digital equity through projects like the Making Equity Network (broadening STEM participation for underrepresented groups) and library-focused digital problem-solving initiatives serving economically vulnerable adults. Her leadership in the Technology Enhanced Language Learning (TELL) cluster hire demonstrates institutional impact. Through DIALL, she cultivates innovations connecting digital storytelling with self-expression at individual and community levels, promoting workforce readiness via creative problem-solving approaches. Her board membership with Literacy Connects extends this community-engaged scholarship to Tucson-based literacy initiatives.

• Digital Literacies
• New Literacies
• Bi/multilingual Education
• +۵ مورد دیگر

Prof. Dr. Christian Rathmann is a Professor for Sign Language Interpreting at the Institute of Rehabilitation Sciences , Humboldt University of Berlin. His academic journey includes prior roles at the University of Hamburg, University of Bristol, and The Ohio State University. PhD in Linguistics (2005), University of Texas at Austin MA in Linguistics (2000), University of Texas at Austin Research Interests : Rathmann specializes in sign language linguistics , focusing on morphosyntactic processes, semantics, and pragmatics. His work explores L1/L2 acquisition , multilingualism, language contact, and the implementation of the CEFR for sign languages . He also investigates Deaf Studies , discourse analysis, and language rights within international contexts. Scientific Contributions include publications on verb agreement, language standardization, and bilingual co-activation. His 2024 work on Signbank 2.0 and VisuoLab emphasizes digital resources for sign languages. Alexander von Humboldt Polish Honorary Research Scholarship (2016-2020) Professional Engagement : Rathmann serves on editorial boards (e.g., Frontiers in Psychology ) and scientific committees, including the SignON Project and the German Deaf Association . He advocates for early sign language access and language rights for deaf children.

• Sign Language Linguistics
• Morphosyntax
• Semantics and Pragmatics
• +۸ مورد دیگر

Annette Rios is a Researcher at the University of Zurich within the Language, Technology and Accessibility group. Her work focuses on machine translation , text simplification , and sign language translation , particularly for multilingual and indigenous language contexts. Research highlights include contributions to the European EASIER project on sign language translation, the ZurichNLP consortium, and the development of tools for emotion detection and gender bias reduction in NLP systems. She has published extensively in top-tier venues like ACL and WMT, with a focus on multimodal translation and German language processing . Developed emotion_detection GitHub repository for German emotion analysis Contributed to ContraPro and ContraWSD projects on translation evaluation Created datasets for German text simplification and emotion detection Her publications reveal a strong emphasis on machine translation (7/15 recent works), sign language technology (3/15), and text simplification (2/15). While no formal advising is documented in the provided text, she has mentored GitHub contributors to her repositories. Current research directions include improving multimodal translation systems and expanding emotion detection capabilities beyond English.

• Machine Translation
• Text Simplification
• Multimodal Processing
• +۵ مورد دیگر

Professor Trina Myers serves as the Head of School for the School of Information Technology at Deakin University's Faculty of Science Engineering and Built Environment. With extensive experience in academia and research leadership, she plays a pivotal role in shaping IT education and research directions at Deakin. She is also an active member of the Australian Council of Deans of ICT (ACDICT), having served as its immediate past President. Her educational background includes: Doctor of Philosophy in Computer Science from James Cook University Master of Business Administration from James Cook University Master of Information Technology from James Cook University Professor Myers' research focuses on semantic technologies, ontology engineering, Internet of Things, knowledge management, natural language processing, and human-computer interaction . Her work emphasizes interdisciplinary collaboration, bridging technology with fields such as healthcare, marine science, environmental conservation, and business. She has pioneered approaches in academagogy (academic gamification) to enhance online learning engagement, particularly for adult learners. Her IoT research has significant applications in healthcare space optimization, environmental monitoring, and resource management. Her recent publications demonstrate a strong trajectory in applying AI and IoT technologies to solve real-world problems, particularly in healthcare, education, and resource optimization. There's a clear pattern of interdisciplinary work connecting computer science with healthcare, education, and environmental science. Her research increasingly focuses on human-centered technology design, especially for vulnerable populations like adolescents with autism spectrum disorder. Her notable achievements include: Fellow of the Australian Computer Society (2023) Australian Awards for University Teaching (AAUT) Teaching Award (2020) Women in IT Professional Leadership Award Finalist (2020) Asia-Pacific International Triple E Entrepreneurial Educator of the Year Award (1st runner-up, 2020) Australian Computer Society, National Digital Disruptor ICT Educator of the Year (2019) Professor Myers actively supervises doctoral students across diverse research areas including gamification in language learning, brain tumor analysis using deep learning, AI in higher education, AI for refugee resilience, data integrity in edge environments, and quantum-driven satellite networking. She has secured significant research funding, including a recent grant for "Indiginizing ICT Curriculum: A Starter Framework for the Community of Practice" through the Australian Council of Deans of ICT. Her teaching philosophy emphasizes active learning methodologies, Process Oriented Guided Inquiry Learning (POGIL), blended learning, and collective intelligence approaches.

• Semantic technologies
• Ontology engineering
• Internet of Things
• +۱۰ مورد دیگر

Tanel Alumäe is an Associate Professor of Speech Processing at Tallinn University of Technology's School of Information Technologies, Department of Software Science. With over 15 years of academic experience, he has held various research and teaching positions at the university since 2006, progressing from Research Fellow to Tenured Associate Professor. His work focuses on speech and language technologies with a particular emphasis on Estonian language applications. PhD in Information and Communication Technology (2006), Tallinn University of Technology Research Master's Degree in Informatics (2002), Tallinn Technical University MSc studies at Tallinn Technical University (1999-2002) and Universität Erlangen-Nürnberg, Germany (1999-2000) Diploma in Computer and Systems Engineering (1994-1999), Tallinn Technical University Alumäe's research spans automatic speech recognition, speaker recognition, natural language processing, and computational linguistics with a focus on Estonian language technology. His work addresses challenges in multilingual speech processing, deep learning applications for speech technologies, and developing practical systems for real-world applications including broadcast media processing and accessibility solutions. He has made significant contributions to low-resource language processing and specialized applications for children's speech and emotion recognition. His recent publications demonstrate a strong focus on cutting-edge speech processing techniques including deepfake detection, multi-speaker systems, speech-to-speech translation, and applying large language models to speech applications. The research shows a consistent pattern of addressing both theoretical challenges in speech processing and practical implementations for Estonian language technology. Award 'Keeletegu 2019' from the Ministry of Education and Research Award 'Keeletegu 2011' from Estonian Ministry of Education and Research 3rd award at the Tallinn University of Technology contest for applied scientific projects (2011) Boris Tamm stipend (2007) First prize at the national contest of students' scientific works (2007) Ustus Agur stipend of Estonian Information Technology and Telecommunications Association (2005) Alumäe has supervised postdoctoral researchers including Rena Nemoto (2012-2015) on pronunciation modeling for speech recognition. He serves in editorial and review capacities for major journals including Nature, Computer Speech & Language, and IEEE Transactions. His administrative roles include Secretary of the Northern European Association for Language Technology Board and membership on the Department of Software Science Council at TalTech. His research group at Tallinn University of Technology actively participates in international challenges (IWSLT, Interspeech, Odyssey) and collaborates with institutions worldwide. The team has developed open-source platforms for Estonian speech transcription and created systems for automatic closed captioning of Estonian broadcasts, demonstrating strong practical applications of their research.

• Speech Processing
• Automatic Speech Recognition
• Speaker Recognition
• +۳ مورد دیگر

Michael Henderson serves as a Lecturer at Monash University within the School of Curriculum, Teaching and Inclusive Education. His academic profile reflects deep engagement with contemporary educational challenges through research spanning adult learning, digital technologies, and pedagogical innovation. His research interests encompass: Adult and Vocational Education Higher Education Systems Educational Technology Integration Feedback Literacy and Assessment Practices Digital Literacy for Marginalized Populations Artificial Intelligence in Learning Environments Creativity in Educational Contexts Henderson investigates how generative AI transforms feedback mechanisms, with emphasis on student perceptions of AI-generated versus teacher feedback. His work critically examines digital empowerment frameworks for refugee and migrant learners, addressing systemic barriers in technology access. Recent publications reveal growing focus on decolonizing creativity research, ethical AI implementation in Australian policy contexts, and play-based digital safety education for young children. This trajectory demonstrates consistent attention to equity, cultural responsiveness, and practical applications of emerging technologies in diverse educational settings. His scientific recognition includes: Dean's Award for Programs that Enhance Learning (2019) Henderson currently leads the international research project "Active Learning about Academic Publishing through Collaborative Online International Learning" (2024-2025), examining cross-cultural academic skill development. His upcoming presentation at the 2025 Australian Association for Research in Education Conference will address collaborative learning frameworks. Though specific student mentoring details are unavailable, his project leadership suggests active involvement in guiding emerging researchers through international collaborations focused on educational technology and publishing practices.

• Adult Education
• Vocational Education
• Higher Education
• +۴ مورد دیگر

Greg Urban is the Arthur Hobson Quinn Professor of Anthropology at the University of Pennsylvania , with a career spanning over four decades. His work bridges Linguistic Anthropology , Cultural Motion , and Business Anthropology , focusing on how culture circulates through societies, corporations, and global contexts. He has held leadership roles as Chairman of Anthropology at UPenn (2001-2007, 2014-2018) and directed research initiatives like the Culture and Nuclear War Project . Education : Ph.D. in Anthropology (1978), MA (1973), BA (1971) from the University of Chicago. Key Books : Metaculture: How Culture Moves through the World (2001), The Culture Puzzle (2021), and Nation-States and Indians in Latin America (1991). Urban’s research interests include: Cultural Motion : The dynamics of cultural replication and transmission across societies Discourse Analysis : Rituals, power structures, and semiotic flows in communication Corporate Anthropology : Ethnographic studies of business organizations and citizenship Amerindian Cultures : Sociolinguistics and cultural practices in Brazil and South America His articles (1978-2025) reveal trends in: Corporate semiotics and affective cultural forms Constitutional discourse and citizenship Amazonian mythologies and ethnographic theory Metaculture as a framework for globalization Ritual practices and linguistic relativity Comparative studies of nation-state-indigenous interactions Scientific Awards : Lindback & Ira H. Abrams Awards for Teaching Guggenheim Fellowship Center for Advanced Study Fellowship American Ethnological Society Book Prize Multiple University Research Awards Urban’s advising and grants focus on: Interdisciplinary projects blending anthropology with business and political science Long-term ethnographic fieldwork in Brazil STS (Science and Technology Studies) collaborations Studies of corporate citizenship and constitutional processes

• Linguistic Anthropology
• Cultural Anthropology
• Cultural Motion
• +۱۰ مورد دیگر

Christopher Lukasik is an Associate Professor in the Department of English at Purdue University, with affiliations in American Studies and the School of Interdisciplinary Studies (SIS). His research focuses on the intersection of American literature, visual culture, and illustration studies in the 18th and 19th centuries, with a particular interest in intermediality and cultural history. Ph.D., English, Johns Hopkins University, 2002 His scholarly work examines how visual practices shaped social and political identities, as seen in his monograph Discerning Characters: The Culture of Appearance in Early America (2011). Current research includes The Image in the Text: Intermediality, Illustration, and Nineteenth-Century American Literature , exploring literary annuals' role in developing mass visual culture. His publications span topics like biometric surveillance in early America, abolitionist visual media, and the pedagogy of drawing books. Articles highlight intermedial relationships between text and image, racial visuality, and the cultural capital of illustration. Scientific honors include: Rockwell Center Society of Fellows (2017-2019) Fulbright Specialist Grant (2018) NEH Summer Stipend (2016) Lillian Gary Taylor Fellowship (2013-14) Fulbright Scholar Grant (2009-10) NEH Long-Term Research Grant (2004-05) Lukasik actively participates in academic conferences, including upcoming presentations at SHARP 2025 and SEA 2025. He has also led Fulbright liaison training sessions and symposiums on illustration research.

• American literature before 1900
• Art History
• Early American Studies
• +۹ مورد دیگر

Randy Fred Appel is an Associate Professor at Waseda University's Global Education Center, with a PhD in Education (Applied Linguistics) from Concordia University. His academic career includes prior roles as Assistant Professor at Waseda University (2017-2021), Research Assistant at Concordia University (2014), and teaching positions at Concordia, Carleton University, and Algonquin College. Education: PhD (2017) and MA (2011) in Applied Linguistics from Concordia and Carleton Universities, respectively. Appel's research focuses on L2 English academic writing, corpus linguistics, formulaic sequences, and L1-related differences. His work examines lexical bundles, linking adverbials, and metadiscourse features in cross-linguistic contexts, with applications in language assessment and pedagogy. Recent projects include analyzing French for Academic Purposes assessments and developing automated measures for lexical sophistication in writing tasks. His publications span journals like English for Specific Purposes , System , and Journal of English for Academic Purposes , with a 2025 paper on interactional metadiscourse in business writing and 2023 studies on linking adverbials across Asian learner groups. He has received significant funding, including a Japan Society for the Promotion of Science Grant-in-Aid for Early-Career Scientists (2020-2022). Scientific Awards: SSHRC Doctoral Fellowship (2014), Concordia Graduate Fellowship (2012), Ontario Graduate Scholarship (2009) Appel has contributed to curriculum development through syllabi for Academic Writing and Discussion in English courses at Waseda's Global Education Center (2025). He actively participates in academic conferences, including the Language Testing Research Colloquium (2022) and Asia TEFL Conference (2019). His service includes peer reviewing for journals like System and International Journal of Business Governance and Ethics .

• Foreign Language Education
• Second Language Acquisition
• Corpus Linguistics
• +۳ مورد دیگر

Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications

• Cybersecurity
• Blockchain
• Machine Learning
• +۱۲ مورد دیگر

Hongkai Wen is a Professor (Chair in Machine Learning Systems) in the Department of Computer Science at the University of Warwick, UK. He holds dual appointments as a Fellow of the Alan Turing Institute (serving as Independent Scientific Advisor for BridgeAI and member of Turing Research Ethics team) and previously worked as Senior Research Scientist at Samsung AI Centre Cambridge and postdoctoral researcher at Oxford University. Education: Computer Science, Keble College, University of Oxford Research Focus: Develops intelligent multi-modal perception systems for real-world deployment with extreme computational efficiency. Core expertise spans ML systems optimization, neural architecture search, and cross-disciplinary applications in robotics, urban mobility, and wearable/IoT security. Pioneered event-based vision techniques and training-free NAS frameworks. Publication Trends: Recent work (2023-2025) demonstrates accelerating innovation in diffusion model efficiency, on-device AI deployment, and sensor fusion techniques. Dominant themes include computational resource optimization for edge devices, multi-modal temporal modeling, and privacy-preserving spatial analytics, with significant contributions to NeurIPS, ICML, and CVPR venues. Scientific Recognition: Best Paper Award, AutoML Conf 2023 (T-CET) Best Paper Runner-up, SenSys 2024 (AdaFlow) Best Paper Awards: IPSN 2014 & EWSN 2013 1st/2nd Place, Zero Cost NAS Competition (AutoML'22) Mentorship & Funding: Actively supervises PhD candidates through thesis committees at Warwick, Ulster, and Queensland universities. Secured National AI Strategy Fund for Macro Neural Architecture Search research. Recruits annually for PhD positions with scholarships from UKRI, Turing Institute, and industry partnerships. Research Leadership: Heads the AI/ML Systems (AMS) Division at Warwick, directing a 15+ member team developing deployable ML frameworks for mobile/robotic platforms. Maintains active collaborations with Samsung AI Centre and Turing Institute's BridgeAI programme on ethical AI deployment.

• Machine Learning Systems
• Artificial Intelligence
• Data Science
• +۵ مورد دیگر

Qijia Shao is an Assistant Professor at The Hong Kong University of Science and Technology (HKUST), specializing in Mobile Computing, Human-Computer Interaction (HCI), and Ubiquitous Computing. He earned his Ph.D. in Computer Science from Columbia University (2024), advised by Prof. Xia Zhou and Prof. Fred Jiang, with prior degrees from Dartmouth College (M.Sc.) and UESTC (B.Sc.). His research focuses on developing unobtrusive systems for human physical/physiological signal sensing, integrating machine learning, signal processing, and hardware design to address societal challenges in healthcare, education, and human-computer interaction. Educational Background: Ph.D., Computer Science, Columbia University (2024) M.Sc., Dartmouth College B.Sc., UESTC Visiting Student, National Chiao Tung University (EECS) Research Assistant, Missouri S&T Research Interests: Deployable systems for human state analysis via physical/physiological signals (e.g., ECG, movement) Generalizable AI algorithms for low-overhead data interpretation Hardware-software co-design for imperceptible sensing Applications in healthcare (e.g., Kangaroo Mother Care monitoring), education, and consumer electronics Awards & Recognition: MobiSys 2024 Best Paper and Demo Awards NSF Funding & Rising Stars Honors ACM UbiComp Gaetano Borriello Award Finalist Editorial Board Member (ACM IMWUT, since 2024) Lab & Collaborations: Director of the Ubiquitous X Lab at HKUST Industry partnerships with Samsung, Snap, and Philips Research International conference TPC roles (MobiSys, SenSys) and keynote speaking engagements

• Mobile Computing
• HCI
• Ubiquitous Computing
• +۷ مورد دیگر

Silverio Juan Martinez Fernandez is a Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Barcelona School of Informatics (FIB) and the Department of Service and Information Systems Engineering . He is a core member of the inSSIDE and GESSI research groups. His expertise spans Empirical Software Engineering , Green AI , MLOps , and Software Analytics . Education: Bachelor's in Computer Engineering PhD from UPC in Software Engineering Master's in Computing Research Interests: Focuses on sustainable AI practices, energy-efficient ML systems, and MLOps education. He investigates architectural design for green AI, energy labeling tools for ML models, and agile software development methodologies. His work bridges theoretical research and industrial applications, emphasizing data-driven decision-making. Grants & Collaborations: Leads projects like Green AI-Based Systems Architecture and Q-Rapids , funded by national and EU programs. Collaborates with institutions like Softeam and industry partners to apply software analytics in real-world scenarios. Labs & Teams: Coordinates the inSSIDE group, focusing on integrated software and data engineering. Active in organizing conferences like GREENS and ESEM , and co-develops tools like Skuld for technical debt management.

• Empirical Software Engineering
• Environmental Sustainability of AI
• Green AI
• +۳ مورد دیگر