جستجوی استاد راهنمای دانشگاهی

• Corpus Linguistics
• German Language Teaching Methodology
• Reading Comprehension Development
• +۴ مورد دیگر

Selma AKOL GÖKTAŞ currently serves as Associate Professor at Trakya University's Faculty of Education, Department of German Language Teaching. Previously promoted to Assistant Professor in 2022, she advanced to her current rank in 2024 after earning her doctorate from Friedrich-Schiller-University Jena in 2020. Doctoral Degree (2020): Friedrich-Schiller-University Jena Master's Degree (2012): Trakya University, German Language Teaching Bachelor's Degree (2009): Çanakkale Onsekiz Mart University, German Language Teaching High School (2004): Ereğli Anatolian High School Her research centers on corpus linguistics applications in German language teaching, with particular focus on preposition analysis, reading comprehension development, and AI integration in language education. Recent work examines pronominal adverbs, -keit derivations, and reciprocal reading methodologies. She employs corpus-based approaches using resources like DeReKo and DWDS to analyze linguistic patterns for pedagogical applications. Publication trends since 2021 reveal a strategic shift toward technology-enhanced language learning, with 40% of her 2023-2024 output addressing AI applications (particularly ChatGPT) and digital tools in German instruction. Her work consistently bridges theoretical corpus linguistics with practical classroom implementation, maintaining strong emphasis on receptive competence development. Service Award (2024) Scientific Publication Award (2024) As active editorial board member for Trakya Germanistik Studien series (Volumes 1-3), she coordinates publications on AI in language education and disaster linguistics. Her referee work spans DIYALOG journal and Contemporary Educational Research Congress. Current projects include collocation analysis in German textbooks and corpus-based vocabulary acquisition studies, supported by institutional research frameworks at Trakya University.

• English Language Education
• Language Learning Strategies
• Teacher Training
• +۶ مورد دیگر

Selma Deneme Gençoğlu is an Associate Professor at the Faculty of Education, Trakya University , where she has served since 2009 (as Assistant Professor) and 2022 (as Associate Professor). She previously held roles at Gazi University as an instructor (1996–2009). Her academic work spans English language education , language learning strategies , and technology integration in EFL classrooms. Education: Master's and Doctoral degrees in Foreign Language Education from Gazi University, with theses focusing on summary writing and its impact on EFL learners. Research Interests include teacher burnout, multicultural education, and the role of technology (e.g., AI-assisted writing tools, Web 2.0) in language acquisition. Her recent projects address teacher commitment and life satisfaction (2024) and teaching English in multicultural settings (TUBİTAK-funded, 2013). Publications emphasize pedagogical innovation , with a focus on EFL teacher burnout (2025), AI-assisted writing tools (2025), and flipped classroom models (2025). She has over 15 recent articles and conference proceedings in journals like The Literacy Trek and International Journal of Contemporary Educational Research . Scientific Awards: Hizmet ödülü (2024). Advising includes mentoring Master’s theses on topics like EFL coursebook evaluation and teaching methods. She has collaborated on grants related to teacher training and multicultural education .

• Artificial Intelligence
• Deep Learning
• Gamification
• +۷ مورد دیگر

Professor Faraón Llorens Largo is a full-time academic at the University of Alicante's Higher Polytechnic School II (Department of Computer Science and Artificial Intelligence). With a PhD in Computer Engineering (2001) and a BSc in Computer Science (1993), he has held leadership roles including Vice-Rector for Technology and Educational Innovation (2005-2012) and Director of Santander-UA Chair (2015-2023). Specializes in AI explainability, gamification, and digital transformation of universities Leads the Smart Learning Research Group and coordinates 11 transfer projects Recipients of the Leonardo da Vinci Medal (2022) and AENUI Award (2013) Recent publications (2024-2025) focus on graph neural networks for spatio-temporal forecasting, generative AI adoption in Spanish engineering education, and multiagent systems for personalized learning. His work bridges theoretical AI advancements with practical applications in educational technology and institutional IT governance .

Vitor Fontanellaمشاهده پروفایل

پژوهشگر

• Natural Language Processing for Educational Applications
• Artificial Intelligence in Education

Vitor Fontanella is a Researcher in Computational Linguistics at Distance University, working on the KISS-Pro project within the CATALPA research cluster. His work focuses on leveraging artificial intelligence to develop pedagogically effective feedback systems for educational writing tasks. Research assistant at CATALPA (since 2024) PhD student in lernMINT program (2020-2024) Master of Arts in Computational Linguistics (2018-2020) Bachelor in Physics (2010) His research interests center on Natural Language Processing for Educational Applications and AI in Education, particularly examining: AI-based feedback systems for argumentative writing Integration of chatbots in school language learning Computational semantics for domain-specific ambiguity detection Corpus linguistics for educational content analysis Publications demonstrate expertise in creating educational text corpora and implementing unsupervised learning techniques for educational NLP applications. Current projects like KISS-Pro (AI in Language Learning - Concepts for Teacher Professional Development) focus on practical implementation frameworks for these technologies.

• Rhetoric
• Argumentation
• Journalism
• +۱۰ مورد دیگر

Mette Bengtsson is an Associate Professor in the Department of Communication at the University of Copenhagen's Faculty of Humanities, specializing in rhetoric, argumentation, and political journalism. Her research focuses on how mass-mediated public debate takes place and how journalists contribute to cultivating vibrant political discourse. She has extensively analyzed newer genres within political journalism such as political commentary and fact-checking, examining argumentation and style to discuss fundamental assumptions about knowledge, citizens, journalists, and democracy. Her research interests span rhetoric, argumentation, journalism, media, democracy, political journalism, mass-mediated political debate, media and citizenship, political commentators, and fact-checking. Bengtsson investigates how journalists can foster engaging political debates through critical analysis of emerging journalistic genres. Her work reveals how rhetorical strategies in political commentary and fact-checking shape democratic discourse and influence public understanding of truth and knowledge. Bengtsson is currently Principal Investigator of the Carlsberg Foundation-funded project "Tell me the Truth: Fact-Checkers in an Age of Epistemic Instability" (2022-2025), which examines fact-checking as a rhetorical practice rather than an objective truth-telling activity. Her publications reveal a consistent focus on the intersection of rhetoric, media, and democracy, with recent work exploring algorithmic systems, platform governance, and the evolving nature of journalistic practices in digital environments. Her scientific awards include travel grants from the Augustinus Foundation, Oticon, and FMKJ in 2012. Bengtsson has received significant media attention for her expertise, with 11 media contributions spanning from 2010 to 2024, including appearances on DR's P1 radio program discussing fact-checking. Previously, she served as Associate Professor at Roskilde University (2020-2021) and Assistant Professor there (2017-2020). She has been involved in major research projects including "Cultural publics. A Study of the Opinion- and People's Pages of Danish Newspapers from 1908-2018" and "Datafied News Media – Datafied Publics?" examining journalism's future in the age of datafication. Her extensive academic network is demonstrated through participation in numerous international conferences and workshops focused on rhetoric and argumentation.

• Rhetoric
• Communication Technology
• Critical Discourse Analysis
• +۳ مورد دیگر

Shannon Lodoen is an Assistant Professor of Rhetoric and Composition at the College of Arts and Sciences , Embry-Riddle Aeronautical University , specializing in Humanities and Communication. Her ORCID identifier is 0000-0002-8023-6931 . Education: PhD in English Language and Literature (Rhetoric), University of Waterloo, Canada MA in Theory and Criticism, Western University, Canada B.A. in Honours English - Rhetoric and Literature Research Interests: Exploring the persuasive nature of smartphones through communication, media studies, rhetorical theory, and critical theory Analyzing the intersection of digital communication technologies and AI in educational settings Advancing student-centered pedagogical practices Scientific Awards: Social Sciences and Humanities Research Council (SSHRC) Doctoral Fellowship (2022-2024) Courses Taught: COM 122: Business Communication COM 221: Technical Report Writing Professional Activities: Executive Committee Member, Canadian Society for the Study of Rhetoric (2022-present) Associate Newsletter Editor, IEEE Society for the Social Implications of Technology (2023-2024)

• Natural Language Processing (NLP)
• Machine Learning
• Knowledge Representation
• +۳ مورد دیگر

Bhuwan Dhingra is an Assistant Professor of Computer Science at Duke University's Trinity College of Arts & Sciences. He focuses on Natural Language Processing (NLP) , machine learning , and knowledge representation , with specific interests in question answering , robustness to adversarial inputs , and model calibration . 2020 : Ph.D. in Language Technologies from Carnegie Mellon University 2013 : Master's Thesis on Local Quadrature Reconstruction on Smooth Manifolds at IIT Kanpur His research includes temporal language models , adversarial robustness , and combating misinformation . He leads the ALTER-Math NSF-funded project (2024-2027) and collaborates on CC* Integration-Large (2025-2027) for distributed GPU systems. His 2025 work on adversarial perturbations and 2024 studies on table understanding in materials science highlight his focus on LLM reliability and structured data integration . Notable awards include the Amazon Research Award (2022), NSF Medium Grant (2022), and Google Research Gift (2021). He advises PhD students like Rich Stureborg and undergraduates such as Angikar Ghosal (now at Stanford PhD). Teaching graduate courses like Introduction to NLP and Advanced NLP , he emphasizes long-form QA and collaborative writing in NLP.

• Polymers
• AI/ML Material Discovery
• Additive Manufacturing
• +۳ مورد دیگر

Connor Armstrong is an Assistant Professor in the Department of Mechanical Engineering at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. He leads the Materials Engineering & Advanced Manufacturing Lab, focusing on polymer systems, additive manufacturing, and AI/ML-driven material discovery. Ph.D. in Mechanical Engineering (Georgia Institute of Technology, 2023) M.S. in Mechanical Engineering (University of Maryland, 2019) B.S. in Mechanical Engineering (University of Maryland, 2017) Postdoctoral Research in Materials Science and Engineering (University of Illinois at Urbana-Champaign, 2025) Research Interests: His work bridges advanced manufacturing techniques with intelligent systems, emphasizing autonomous experimentation and 4D printing . Key areas include photopolymer optimization , fiber-reinforced composites , and thermoset ink development for ambient-temperature applications. Scientific Awards: Grainger Distinguished Postdoctoral Fellowship (2023) Georgia Tech Tower Award (2023) NSF Student Award for Solid Freeform Fabrication Symposium (2021) Georgia Tech Presidential Fellowship (2019) GEM Fellowship (2019) He actively mentors students in research and is currently accepting both undergraduate and graduate advisees for projects at the intersection of materials science and manufacturing innovation.

Hannes Westermannمشاهده پروفایل

استادیار

• Legal Informatics
• Artificial Intelligence in Law
• Dispute Resolution
• +۴ مورد دیگر

Dr. Hannes Westermann serves as an Assistant Professor at the Faculty of Law, Maastricht University, specializing in Private Law. He is actively involved with the Maastricht Law and Tech Lab, focusing on the intersection of artificial intelligence and legal systems. His work combines technical innovation with legal expertise to address access to justice challenges. Maastricht University Faculty of Law Private Law Maastricht Law and Tech Lab Westermann's research centers on AI applications in legal contexts, including multimodal document analysis, dispute resolution systems, and legal autonomy frameworks. He explores the use of large language models (LLMs) for legal information processing, developing expert systems and Bayesian networks to enhance legal reasoning and accessibility. Recent publications demonstrate expertise in legal informatics, with 2024 contributions covering AI risk assessment, document analysis, and dispute resolution. His work includes 7 documented publications (2023-2024) and interdisciplinary collaborations with computer scientists and legal scholars. NWO-SGW Open Competition Law and Administration 2023 grant (€839,146) Westermann contributes to public discourse through media appearances, discussing AI's role in legal aid and strategies to close the justice gap. His research has been cited in multiple Plum Print metrics, indicating impact in legal technology and AI ethics domains.

• Applied Linguistics
• Language Assessment
• Second Language Acquisition
• +۵ مورد دیگر

Vahid Aryadoust is an Assistant Professor in the English Language and Literature Academic Group and Associate Director of the Global Listening Center. He actively contributes to international associations like the International Listening Association and American Association. His research focuses on Applied Linguistics , with key areas including Language Assessment , Artificial Intelligence in Education , and Motivation in Second Language Acquisition . His recent work explores AI-driven listening assessments, corpus-based test analysis, and scientometric trends in applied linguistics. The 2023–2024 articles highlight his interdisciplinary approach, combining Natural Language Processing , Test Validity , and Data-Driven Research to address challenges in L2 listening proficiency and automated feedback systems. As an associate editor for Frontiers in Psychology (Psychology of Language section), he plays a pivotal role in advancing scholarly discourse in applied linguistics.

• Advanced materials processing
• Additive manufacturing
• Structural alloys
• +۵ مورد دیگر

Mohadeseh Taheri-Mousavi is an Assistant Professor in the Department of Materials Science and Engineering at Carnegie Mellon University , joining in 2022. Her work bridges machine learning, computational materials science, and additive manufacturing to develop advanced structural alloys for extreme environments. PhD from EPFL (2015), MSc/BSc from Sharif University of Technology Postdoctoral experience at MIT (2022) and Brown University (2017) Research interests include: AI-driven alloy design Hydrogen embrittlement mitigation Multi-agent generative AI frameworks Process-microstructure-property relationships Clean energy material sustainability Her articles focus on additive manufacturing , hydrogen-resistant alloys , and AI-enhanced material discovery across aerospace, automotive, and nuclear applications. Notable funders include NASA , DARPA , and the Naval Nuclear Laboratory . Scientific awards include: Swiss National Science Foundation Early & Advanced Fellowships Her research team includes postdoctoral and doctoral researchers developing next-generation alloys through human-AI collaboration and computational modeling.

Kevin Sunمشاهده پروفایل

دانشگاهی

• Online algorithms
• Combinatorial optimization
• Computer science education
• +۲ مورد دیگر

Kevin Sun is a Teaching Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. Previously, he taught computer science at Elon University during the 2022-23 academic year. He earned his PhD and MS in Computer Science from Duke University in 2022 and completed his undergraduate studies at Rutgers University, majoring in both Computer Science and Mathematics. Dr. Sun's research and teaching interests focus on online algorithms, combinatorial optimization, and computer science education. His scholarly work demonstrates a consistent focus on educational innovation, with particular attention to how students learn algorithms and computer science concepts. He has developed a strong interest in pedagogical methods and the philosophy of teaching, particularly in the context of computer science education at the undergraduate level. His publications span both technical computer science topics and educational scholarship, with recent work examining the implications of AI technologies like ChatGPT for higher education. His research explores both traditional teaching methods and emerging technologies that impact learning environments. Kevin Sun has established himself as a thought leader in computer science education through his "Teaching CS" newsletter and his website (kevinsun.org), where he shares insights on teaching, learning, and various interdisciplinary topics that bridge computer science with broader educational and philosophical questions. As an educator, Sun has been actively involved in curriculum development for computer science courses and has explored innovative assessment methods, including the implementation of oral examinations in virtual classroom settings. His teaching philosophy emphasizes student engagement and deep conceptual understanding rather than rote memorization.

• Educational Technology
• Safer Internet
• Technology-Enhanced Learning
• +۶ مورد دیگر

Professor Engin Kurşun is a distinguished academic at Atatürk University's Kazım Karabekir Faculty of Education, where he serves as Professor in the Department of Computer and Instructional Technology Education. He has held various leadership positions including Head of Department (2021-2023) and currently serves as a member of the Project Office Executive Committee and Methodology Office Executive Committee. His academic journey includes research stints at the British Open University's Institute of Educational Technology and the Center for Open Education Research at Oldenburg University, Germany. Dr. Kurşun earned his PhD in Educational Technology from Middle East Technical University, following undergraduate studies at Atatürk University. His research interests span educational technology, safer internet practices, technology-enhanced learning, human-computer interaction, and open and distance learning. He has contributed significantly to the field through numerous publications and research projects, with special focus on OER movement in Turkish universities. His scholarly work demonstrates strong trends in educational technology, particularly examining the intersection of AI and education, online learning methodologies, and accessibility in digital education. Recent publications show increasing focus on generative AI applications in education, teaching analytics, and the sustainability of open educational resources, reflecting his ability to address emerging challenges in the field. Dr. Kurşun has supervised 15 theses, guiding both doctoral and master's students through research in areas such as computational thinking, open educational resources, internet safety, and technology-enhanced learning. His research has been supported through various projects including the International Bilateral Cooperation Project Writing Training in 2022. He leads the Human Technology Interaction and Accessibility Lab established in October 2015, which focuses on creating inclusive educational technologies. His work in this area aligns with his research on accessible multimedia learning materials for students with special needs and his broader commitment to inclusive educational practices.

Liane Schüllerمشاهده پروفایل

پژوهشگر

• German Literature
• Digital Humanities
• Inclusive Education
• +۷ مورد دیگر

Liane Schüller is a researcher at the University of Duisburg-Essen , affiliated with the Institute of German Studies - Literary Studies/Didactics under the Faculty of Humanities . Her work bridges literary analysis, digital education, and cultural critique, with a focus on contemporary intersections of technology and society. Role: Researcher in Literary Didactics University: University of Duisburg-Essen School: Faculty of Humanities Department: Institute of German Studies - Literary Studies/Didactics Email: liane.schueller@uni-due.de Research Interests span digital humanities, inclusive education, and gender narratives. Key projects include: The Culture of Digitality in Contemporary Literature and Art (2023, funded by UDE's Lehr-Lern-Innovationen) History(ies) of Migration, Mobility and Flight (2025, with DOMiD collaborations) Grimmwelten (2023, fairy tale adaptations and educational frameworks) Images of Mothers in Literature and Art (2025, curated exhibition with Dr. Sabine Kampmann) Scientific Awards : Fellowship from the Stifterverband and North Rhine-Westphalia Ministry for digital inclusion project Collaborations include Prof. Dr. Michael Beißwenger, Dr. Simone Loleit, and institutions like Schauspiel Essen and DOMiD. She has contributed to OER platforms digiLL and ORCA.nrw , emphasizing cooperative teaching methods and hypermedia communication.

Lisa L. Phillipsمشاهده پروفایل

استادیار

• Sensory Rhetorics
• Environmental Rhetoric
• Intersectional Feminism
• +۷ مورد دیگر

Lisa L. Phillips is an Assistant Professor in the Department of English at Texas Tech University , with faculty affiliations in the Climate Center and Women's & Gender Studies programs. Her work bridges environmental rhetorics , Indigenous and intersectional feminist frameworks , and sensory studies , focusing on how marginalized communities navigate environmental degradation through olfactory and embodied discourses. Current Projects : Olfactory Rhetoric book (2025), AI ethics in education Teaching : Rhetorical theory, sensory rhetorics, human-centered AI, professional writing Her research interrogates Western sensory hierarchies privileging vision, emphasizing smell as a critical tool for understanding environmental injustice. She employs decolonial and intersectional methodologies to analyze how race, class, and gender shape olfactory narratives about pollution, climate change, and living conditions. Recent work examines generative AI's rhetorical intelligence and implicit bias in technical communication. Lisa’s publications include the co-edited volume Grassroots Activisms (Ohio State UP, 2024) and NSF-funded teaching modules on sensory data (2016–2017). She contributes to journals like IEEE Transactions in Professional Communication and Grassroots Writing Research Journal , with forthcoming work on AI anxiety (2026) and positionality (2027). Her interdisciplinary approach integrates climate science , critical pedagogy , and technical communication .