جست‌وجوی استاد و پژوهشگر

• Computational Linguistics
• Digital Education
• Language Learning Technologies
• +۶ مورد دیگر

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

• Computational Linguistics
• Empirical Educational Science
• Intelligent Computer-Assisted Language Learning (ICALL)
• +۱۰ مورد دیگر

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

• Mobile Application Development
• Business Informatics
• Data Mining
• +۶ مورد دیگر

Prof. Mathias Walther is a Professor of Business Informatics at Wildau University of Applied Sciences, specializing in mobile application development for eBusiness. He holds a doctorate from Martin Luther University Halle-Wittenberg, focusing on paralinguistic features in call center analysis. Previously, he worked as a research assistant, IT analyst, data scientist, and founder of an online travel portal. He lectures at two universities and is actively involved in research on mobile applications, speech therapy technology, and big data. Education: Studies in Business Informatics at Martin Luther University Halle-Wittenberg and University of Wollongong, UAE. Doctorate from Martin Luther University with a thesis on 'Automatic recognition of paralinguistic features for assessing call quality in call centers.' Research Interests: Cross-platform mobile technologies, decision support systems, text mining, speech data pattern recognition, simulation, and big data. Current projects include AphaDigital, a digital speech therapy solution for aphasia patients. Teaching: Courses include Mobile Applications, Business Intelligence, Data Mining, IT Strategic Management, and Database Systems across undergraduate and graduate levels. Awards: No scientific awards explicitly mentioned. Advising & Grants: Advises students on thesis topics like AI in manufacturing, digital therapeutics, and business analytics. Active in developing digital solutions for healthcare and enterprise processes. Labs/Teams: Leads the AphaDigital project, focusing on speech therapy through avatar-based digital platforms.

• Language Didactics
• Second Language Acquisition
• Interdisciplinary Teaching
• +۳ مورد دیگر

Dr. Johanna Klippel is currently a Teacher for Special Tasks in the Department of Language Acquisition and Language Didactics at Johannes Gutenberg University Mainz since October 2024. Previously, she served as a teacher of English, German, and German as a Second Language (DaZ) at Helene-Lange-Schule Wiesbaden (2018–2024), and as a research assistant at Technical University of Darmstadt (2012–2015). Her work includes authorship at Westermann publishing group (2020–2021). Her research focuses on language didactics , second language acquisition , and interdisciplinary teaching . Key areas include grammar didactics, language support in educational contexts, and competency-based learning strategies. She has contributed to studies on multilingualism in science education and pedagogical innovation. Dr. Klippel has presented at international conferences and workshops, addressing topics such as teacher leadership and competency-oriented assessment . Her work bridges theoretical frameworks and practical classroom applications, emphasizing educational equity and student-centered approaches. Contact: jklippel@uni-mainz.de .

• Artificial Intelligence in Education
• Learning Analytics
• Computational Linguistics
• +۳ مورد دیگر

Leona Colling is a Scientist and doctoral student at the Leibniz Institute for Knowledge Media (IWM) since January 2025, working in the Language and AI in Education Lab led by Prof. Dr. Detmar Meurers. Her research focuses on the AI2Teach project, developing the FeedBook intelligent tutoring system to enhance foreign language education through learning analytics and computational linguistics for K-12 classrooms. Her academic background includes a B.Sc. in Cognitive Science from the University of Tübingen and an M.Sc. in Artificial Intelligence from the University of Edinburgh. Prior to her doctoral studies, she gained industry experience at IBM in AI & Data Science. B.Sc. Cognitive Science, University of Tübingen M.Sc. Artificial Intelligence, University of Edinburgh Colling's research centers on user-centered dashboard design for language learning, investigating how computational linguistics and learning analytics can bridge teacher needs with student process data. Her work emphasizes task-oriented pedagogy and adaptivity in intelligent tutoring systems to improve educational outcomes. Her 2023-2024 publications reveal a consistent focus on dashboard effectiveness, with themes spanning criterion-referenced assessment, exercise performance analysis, and practical implementation challenges in real-world classrooms across multiple international conferences. No scientific awards or fellowships are documented in the available information. As a doctoral researcher in the AI2Teach project (2020-2026), Colling contributes to FeedBook's development but does not advise students. Her grant involvement centers on this multi-year initiative funded through IWM's research infrastructure. Within the Language and AI in Education Lab, she collaborates with a multidisciplinary team including computational linguists, learning scientists, and software developers to advance theory-informed educational technologies grounded in empirical classroom validation.

Sasan Mansouriمشاهده پروفایل

استادیار

• Financial Data Science
• Entrepreneurial Finance
• Machine Learning
• +۵ مورد دیگر

Sasan Mansouri is an Assistant Professor of Digitalization and AI at the Faculty of Economics and Business, University of Groningen , and a Junior Research Affiliate at the Leibniz Institute for Economic Research Halle (IWH) since February 2023. He is also an Affiliated Researcher at the Chair of Banking and Finance, Goethe University Frankfurt . His work integrates financial data science , natural language processing , and entrepreneurial finance to study information transmission dynamics in financial markets. Research Focus : Financial jargon's role in market efficiency, ESG metrics in sustainable entrepreneurship, AI-driven analysis of corporate disclosures, and regulatory impacts on banking. Teaching : Offers courses in Master Data Analytics , Natural Language Processing , and Mergers & Acquisitions , emphasizing AI applications in economics and finance. Entrepreneurial Ventures : Co-founded Very Bad Report (AI financial reporting) and Essence Scholar (AI academic research platform), and previously served as AI Advisor at Dealcode AI (2021-2022). His publications span journals like Management Science , Journal of Business Venturing , and Journal of Economic Behavior & Organization , along with working papers at SSRN and IWH . Current research explores AI's role in reducing information asymmetries and policy impacts on financial markets.

Tanyasha Yearwoodمشاهده پروفایل

استاد

• Computer-Assisted Language Learning
• Blended Learning
• Language Teaching Methodology
• +۵ مورد دیگر

Tanyasha Yearwood is a Professor in the Department of English Philology at the University of Göttingen's Faculty of Humanities. She holds an active teaching position with responsibilities spanning both the Department of English Philology and the Department of Romance Philology, teaching courses related to language teaching methodology, intercultural learning, and critical cultural awareness. Her primary research interests focus on Computer-Assisted Language Learning (CALL), Blended Learning approaches, and practical implementation of production-oriented learning and teaching methodologies. Yearwood's work particularly emphasizes the integration of technology in language classrooms, with special attention to creating learner-centered environments rather than technology-focused ones. She has extensively explored Activity Theory as a framework for understanding classroom dynamics in technology-enhanced language learning. Her publication record reveals a consistent trajectory in CALL research, with particular focus on how technology can be normalized in classroom settings to serve as complementary rather than central elements in language learning. Her work spans theoretical frameworks like Activity Theory to practical classroom implementations, especially in resource-constrained environments like single-computer classrooms. The evolution of her research shows increasing attention to cultural dimensions of language learning, particularly intercultural competence and critical cultural awareness. Yearwood maintains an active presence in international academic conferences, regularly presenting at major venues including EUROCALL, IATEFL, and specialized CALL conferences. Her teaching portfolio demonstrates comprehensive coverage of language teacher education across multiple semesters, with consistent offerings in research methods for language teaching and practical application of theoretical concepts.

Xiaoning Duمشاهده پروفایل

مدرس ارشد

• Software Engineering
• Artificial Intelligence
• Cybersecurity
• +۳ مورد دیگر

Xiaoning Du is a Senior Lecturer (equivalent to U.S. Associate Professor) at the Department of Software Systems and Cybersecurity within the Faculty of Information Technology at Monash University, Australia. She was promoted to this position effective July 1, 2025, having previously served as a Lecturer (Assistant Professor) since joining Monash in February 2021. Her research bridges the gap between theory and practical applications of program analysis and formal methods in evaluating traditional and AI-assisted software systems. Dr. Du's educational background includes: PhD from Nanyang Technological University (2020) Bachelor's degree from Fudan University (2014) Dr. Du specializes in software engineering, artificial intelligence, and cybersecurity , with particular focus on SE4AI (Software Engineering for AI), software analysis and testing . Her research has made significant contributions to the security and quality assurance of intelligent software systems, especially intelligent software engineering tools. She is best known for her work on Devign , BigCodeBench , DeepStellar , and SimPy , which have advanced the fields of code generation, program analysis, and AI security. Her approach consistently bridges theoretical foundations with practical applications to improve software quality and security. Dr. Du's recent publications demonstrate a strong focus on the intersection of software engineering and AI, particularly examining how large language models interact with source code. Her work addresses critical challenges in code generation efficiency, security vulnerabilities in AI-assisted development, and fairness in AI systems. She has made significant contributions to benchmarking frameworks like BigCodeBench and has pioneered research on watermarking techniques to protect code datasets from misuse by neural code completion models. Dr. Du has received numerous prestigious awards and recognitions: 2024 Google Research Scholar Award in Software Engineering ACM SIGSOFT Distinguished Paper Award (ISSTA'24) ICLR Oral presentation (2025) 2024 FIT Dean's Early Career Researcher of the Year Award Multiple FIT ECR Seed Grants (2021-2023) Dr. Du actively mentors PhD students, with notable successes including Terry (2024-2025 IBM PhD Fellowship Award recipient) and Zhensu (2024 Bytedance Scholarship Award recipient). She is currently seeking self-motivated PhD students with strong programming skills and relevant research experience, offering full scholarship support. Her research has been supported by multiple grants including the Google Research Scholar Program award and several FIT ECR Seed Grants that have enabled her team to pursue innovative research in software security and AI-assisted development. Dr. Du leads a research group focused on intelligent software systems security and quality assurance. Her team has developed several influential tools and benchmarks including Devign, BigCodeBench, DeepStellar, and SimPy. These resources have become important assets for researchers and practitioners working at the intersection of software engineering and artificial intelligence, particularly in the areas of code generation, program analysis, and security testing of AI systems.