جست‌وجوی استاد و پژوهشگر

Georgios Th. Papadopoulosمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Georgios Th. Papadopoulos is an Assistant Professor at the Department of Informatics and Telematics at Harokopio University of Athens. He holds a Diploma and PhD in Electrical Engineering from Aristotle University of Thessaloniki and completed postdoctoral research at CERTH and FORTH. With over 50 peer-reviewed publications, he actively contributes to European research projects, serving as Technical Coordinator for Anti-FinTer and Ceasefire projects. His research focuses on: Computer vision and deep learning for security applications (X-ray analysis, gesture recognition) Federated learning systems for intrusion detection and cybersecurity Human-robot collaboration frameworks Explainable AI methodologies Multi-agent systems for IoT and edge computing His recent publications demonstrate strong emphasis on federated learning architectures, security applications of computer vision (especially X-ray threat detection), and human-centered AI systems. Research trends show growing focus on cybersecurity countermeasures, multimodal learning systems, and deployment of AI in public safety domains. He has led significant EU-funded initiatives including: Technical Coordinator: Anti-FinTer, Ceasefire, DANTE, ANITA Deputy Coordinator: HR-Recycler, LASIE Contributor: aceMedia, K-Space, MESH, Vidi-video, GLOCAL, CEEDs, REVERIE, RePlay

Farhad Nooralahzadehمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Multimodal Multilingual Learning
• Medical Informatics
• +۳ مورد دیگر

Farhad Nooralahzadeh is a Senior Researcher affiliated with the University of Zurich (UZH) and Zurich University of Applied Sciences (ZHAW) , working within the Faculty of Science at UZH. His research focuses on computational language understanding, cross-lingual/cross-modality transfer learning, and medical applications of NLP. Ph.D. in Language Technology (2020) from University of Oslo MSc in Data Mining and Knowledge Management (2013) from Erasmus Mundus program at University of Lyon II His recent work explores NLP in medical domains , including integrating multimodal data from databases, texts, graphs, and imaging for EHR/radiology analysis. Publications highlight advancements in medical AI , transformer-based models , and progressive generation frameworks . Professional experience includes research at Inria Sophia-Antipolis (WIMMICS team) and Naver Labs Europe (formerly Xerox Research), with technical contributions to ontology-based relation extraction and openNLP implementations available on GitHub.

Johannes Graënمشاهده پروفایل

پژوهشگر

• Corpus Linguistics
• Computer-Assisted Language Learning (CALL)
• Games with a Purpose (GWAP)
• +۲ مورد دیگر

Dr. Johannes Graën is a Researcher at the University of Zurich , affiliated with the Department of Computational Linguistics under the Faculty of Arts and Social Sciences . He leads the Language Technology group within the Linguistic Research Infrastructure, focusing on corpus linguistics, computer-assisted language learning (CALL), and games with a purpose (GWAP). Primary Affiliation: University of Zurich Role: Researcher and Educator His research emphasizes corpus linguistics , NLP tools for education , and language learning games . He develops web-based infrastructures like the LiRI Corpus Platform and SwissBERT, a multilingual language model tailored for Swiss languages. His work often intersects with machine translation , word alignment , and multilingual resource exploitation . The trends in his publications highlight multimodal corpus analysis , CALL applications , and parallel corpora modeling . He has contributed to tools like Multilingwis and SPARCLING, which enhance the accessibility and annotation of multilingual datasets.

• English for Academic Purposes
• English as a Medium of Instruction
• Genre Theory
• +۵ مورد دیگر

Spela Mezek is a Senior Lecturer at the Department of English, Stockholm University. Her academic work focuses on English for Academic Purposes (EAP), English as a Medium of Instruction (EMI), genre theory, second language acquisition, and multilingual classroom dynamics. Teaching: L2 academic writing, English linguistics Research: Investigates EMI implementation, terminology engagement in multilingual settings, and self-regulated learning in academic contexts Publication Trends show consistent contributions to: Evolving EMI practices in Scandinavia Assessment methodologies in multilingual education Student self-regulation in academic writing Humor functions in high-stakes academic interactions Vocabulary acquisition across languages Contact: spela.mezek@english.su.se | ORCID: 0000-0002-8995-4366

Judy Kalmanمشاهده پروفایل

استاد

• Literacy Studies
• Digital Culture
• Educational Technology
• +۳ مورد دیگر

Judy Kalman is a Professor at the Department of Educational Research, Center for Research and Advanced Studies of the IPN (Cinvestav-IPN) since 1993. She directs the Laboratory of Education, Technology and Society ( LETS ), focusing on literacy studies, digital culture, and sociocultural approaches to education. Fields of Interest: Literacy Studies, Digital Culture, Educational Technology, Adult Education Her research examines literacy practices in digital contexts and the sociocultural dimensions of education. Recent work analyzes pandemic-related literacy events, including vaccination processes and urban media landscapes. Scientific Awards: International Literacy Research Prize (UNESCO, 2002) Honorary Doctorate, National University of Córdoba, Argentina (2019) She publishes extensively in multiple languages, with a focus on multilingual and multimodal communication in educational contexts.

Ferran Suñerمشاهده پروفایل

استاد

• Technology-based language learning
• Applied cognitive linguistics
• Figurative language across languages and cultures
• +۳ مورد دیگر

Prof. Dr. Ferran Suñer is a full Professor at the Université catholique de Louvain (UCLouvain) in Belgium. He holds the Chair in Multilingualism, Interculturality and Language Lab (CU.mil) and is affiliated with the Institute for Language and Communication / Linguistics Research Unit within the Faculty of Philosophy, Arts and Letters (FIAL). His academic work bridges German language pedagogy, cognitive linguistics, and technological innovation in language education. Education: Doctor in German as a Foreign Language and Psycholinguistics (2011), Ludwig-Maximilians Universität München Licencié en philologie allemande (2005), Universitat de Barcelona Research interests focus on technology-enhanced language learning, embodied cognition in language instruction, and cross-cultural metaphor analysis. He develops digital learning scenarios for inclusive education and co-founded the research group Teaching and Acquiring Multilingualism and Multiliteracies (TeAMM) . His work explores how virtual reality, AI, and embodied practices like gesture-based grammar instruction impact second language acquisition. Recent publications (2023-2025) demonstrate trends in AI integration (ChatGPT as learning partner), embodied teaching of German modal verbs, systematic reviews of usage-based language approaches, and cross-cultural studies on metaphor comprehension. He emphasizes mixed-methods research and digital task design to address heterogeneous learning environments. Teaching units at UCLouvain include courses on German language as social practice, didactic research methods, and mixed-methods in applied linguistics.

• Machine Learning
• Natural Language Processing
• Sustainable Artificial Intelligence
• +۳ مورد دیگر

Casper Dorph-Jensen serves as a Lecturer in the Department of Computer Science at the University of Copenhagen, where he is an active member of the Machine Learning section. His academic work bridges theoretical machine learning foundations with practical applications across diverse domains, contributing to both research and educational initiatives within Denmark's premier computing institution. His research spans multiple critical frontiers in artificial intelligence. Key interests include: Natural Language Processing with emphasis on emotion-aware dialogue systems and cross-cultural adaptation frameworks Sustainable AI development addressing environmental impacts of large models Quantum machine learning applications for biomolecular simulations Medical image analysis techniques for clinical diagnostics Fairness-aware information retrieval systems and recommender algorithms Analysis of his 2024-2025 publications reveals strong interdisciplinary trends combining machine learning with quantum physics, healthcare informatics, and sustainability science. Notable patterns include the application of large language models to clinical contexts (particularly nursing values evaluation), energy efficiency concerns in AI infrastructure, and novel quantum-classical hybrid approaches for scientific computing. His work frequently addresses real-world implementation challenges in noisy environments and resource-constrained settings. No scientific awards were documented in available sources. Information regarding student supervision or specific research grants remains unavailable in current public records, though his Machine Learning section affiliation suggests participation in broader departmental initiatives like the SCIENCE AI Centre and TreeSense remote sensing project. He operates within the Department of Computer Science's Machine Learning section, which maintains dedicated high-performance computing resources and participates in the university-wide SCIENCE AI Centre. This section focuses on both theoretical ML foundations and applications in medical imaging, biological data modeling, and sustainability-focused computing, with recent projects including quantum computing initiatives and environmental monitoring systems.

Kirsi Wallinheimoمشاهده پروفایل

مدرس

• Educational Sciences
• Language Pedagogy
• Language Teaching
• +۵ مورد دیگر

Kirsi Wallinheimo is a Lecturer at the Department of Education, University of Helsinki, specializing in language pedagogy , multilingualism , and social justice in education . Her work bridges educational sciences and Nordic studies , emphasizing inclusive practices and digital literacy. Research Focus: Language assessment, multimodal learning, and equity in language education. Projects: Involved in initiatives like 'Digital literacy for language teaching' and 'Innokas ruotsia kielikylpymetodein'. Key Contributions: Developed frameworks for portfolio assessment, explored iPad integration in medical language courses, and addressed challenges in adult language learning. Her pedagogical innovations include Moodle Chat applications and multimodal teaching resources. Email: kirsi.wallinheimo@helsinki.fi

• Natural Language Processing
• Machine Translation
• Computational Linguistics
• +۳ مورد دیگر

Mikko Aulamo is a Doctoral Researcher at the University of Helsinki, Faculty of Arts, Department of Digital Humanities, specializing in Language Technology. His work focuses on natural language processing, machine translation, and computational linguistics, with particular emphasis on multilingual datasets, low-resource language processing, and open-source translation tools. His research interests span across several key areas in computational linguistics. Aulamo has made significant contributions to the development of high-performance language technologies, particularly through the HPLT (High Performance Language Technologies) project and the OPUS ecosystem. His work addresses critical challenges in multilingual machine translation, parallel corpus processing, and resource development for underrepresented languages. He has published extensively on topics including neural machine translation, corpus filtering techniques, rule-based translation systems, and the creation of multilingual resources that support language technology applications across diverse linguistic contexts. Aulamo's recent publications demonstrate a clear trajectory toward creating more accessible, high-quality language technologies. His work on the HPLT project has produced substantial multilingual datasets and models, while his contributions to OPUS-MT have democratized neural machine translation. His research particularly emphasizes solutions for low-resource languages, including indigenous languages of the Americas and Scandinavian minority languages like Northern Sámi. Aulamo has been actively involved in several major research projects: High Performance Language Technologies (2022-2025) - EU Innovation actions OPUS-MT: Open Translation Models, Tools and Services (2020-2021) FoTran: Found in Translation - Natural Language Understanding with Cross-Lingual Grounding (2018-2024) - ERC Consolidator Grant fiskmö: Creation of a parallel corpus for Finnish and Swedish translation (2018-2021) He is a key contributor to the Language Technology research group at the University of Helsinki, working closely with Professor Jörg Tiedemann's team on advancing the state of the art in multilingual language processing and translation technologies.

• Artificial Intelligence
• Data Mining
• Process Mining
• +۵ مورد دیگر

Bernard P. Veldkamp is a Full Professor at the University of Twente, affiliated with the TechMed Centre, Digital Society Institute, and Cognition, Data and Education. His work spans Artificial Intelligence, Data Mining, Text Mining, and Human AI Interaction, with applications in Health and Well-being, Education, and Societal Context of AI. Key research areas: Machine Learning, Natural Language Processing, Psychometric Models, and Sustainable Development Goals (SDGs) His recent publications focus on energy transition, PTSD detection, reading fluency assessment, and fraud reporting. He has secured grants like the CZ Research Grant (2009) and ECABO Grant (2013). Scientific Awards : Best Paper Presentation Award (2012) CZ Research Grant (2009) ECABO Grant (2013) His collaborative activities include oral presentations on therapy analysis, formative assessment, and text classification, reflecting interdisciplinary engagement with psychology, education, and computational methods.

Hem Paudelمشاهده پروفایل

مدرس

• Globalization
• Language Diversity
• Digital Technologies in Education
• +۳ مورد دیگر

Hem Paudel is a Lecturer in the Department of Rhetoric at the University of Iowa since Fall 2015. He holds a PhD in Rhetoric and Composition from the University of Louisville. His teaching spans undergraduate rhetoric courses and a wide range of writing and literature courses both in the U.S. and internationally. Dr. Paudel's research focuses on globalization's impact on language diversity, digital technologies in writing instruction, and translingual/transmodal literacy theories. His work has been published in journals like JAC , International Multilingual Research Journal , and Atlantic Literary Review . A chapter in Transnational Writing Program Administration earned the 2017 CCCC Outstanding Book Award. His recent articles address themes ranging from transnational educational administration to material science innovations in battery technology, reflecting interdisciplinary engagement. His teaching philosophy emphasizes culturally responsive pedagogies and technological integration in composition studies. Contact: hem-paudel@uiowa.edu | Office: 160 English Philosophy Building, Iowa City, IA 52242

John Quarlesمشاهده پروفایل

استاد

• Virtual Reality
• Human-Computer Interaction
• Artificial Intelligence
• +۳ مورد دیگر

John Quarles is a Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), part of the College of Sciences. His research focuses on virtual and augmented realities, human-computer interaction, and artificial intelligence applications. He holds a Ph.D. and M.S. in Computer Engineering from the University of Florida and a B.A. in Computer Science from the University of Texas at Austin. Quarles leads the San Antonio Virtual Environments (SAVE) Lab, which develops innovative solutions for accessibility, healthcare, and education through immersive technologies. He emphasizes accessible VR/AR systems for individuals with disabilities and has contributed to projects like GingerVR, an open-source platform for cybersickness reduction. His teaching includes courses on user interfaces and computer graphics. Beyond academia, he is a musician with diverse styles and collaborates on film scores. Education: Ph.D. in Computer Engineering, University of Florida M.S. in Computer Engineering, University of Florida B.A. in Computer Science, University of Texas at Austin Research Interests: Virtual/Augmented/Mixed Realities 3D User Interfaces Artificial Intelligence and Deep Learning Accessibility in Immersive Technologies Behavioral Interventions for Autism Labs/Teams: Director of the SAVE Lab, focusing on VR/AR applications in healthcare, education, and accessibility. Collaborates with interdisciplinary teams on projects like disability simulations and cybersickness mitigation.

Sujin Kimمشاهده پروفایل

دانشیار

• Content-Language Integrated Education
• Translanguaging/Transmodalising Pedagogy
• Multiliteracies/New Media Literacy
• +۳ مورد دیگر

Dr. Sujin Kim is an Associate Professor in the English for Speakers of Other Languages (ESOL) Education department of George Mason University's College of Education and Human Development. She serves as Principal Investigator for the ACE-STEM and TTS grant projects, focusing on equitable STEM education for multilingual learners. Her research integrates translanguaging pedagogy, critical discourse analysis, and multiliteracies to address immigrant youth identity and educational equity. Dr. Kim holds a PhD in Education from the University of Missouri-St. Louis, with a dissertation on Korean migrant youth identity in transnational contexts. She has authored over 50 publications, including works on translanguaging pedagogy, raciolinguistic mindsets, and family literacy projects. Her recent work emphasizes teacher training and policy analysis related to multilingual learners. She leads initiatives through affiliated centers like the Center for International Education and the Global Online Teacher Education Center. Key themes in her research include critical discourse analysis of educational policies, transmodal pedagogical strategies, and the sociocultural dimensions of multilingual education.

• Speech Recognition
• Language Processing
• Machine Intelligence
• +۲ مورد دیگر

Murat Saraçlar is a Professor in the Electrical and Electronics Engineering Department at Boğaziçi University, specializing in speech and language processing. His research spans automatic speech recognition, keyword search systems, and multilingual processing technologies. He holds visiting positions at Google and IBM Research and serves as senior editor for IEEE Open Journal for Signal Processing. Awarded the TUBA-GEBİP Young Scientist Award and IBM Faculty Award, he developed foundational work in discriminative language modeling and spoken content retrieval. Recent publications focus on few-shot learning for keyword spotting and cross-modal search systems integrating written and spoken terms.

• Data Science
• Information Retrieval
• Machine Learning
• +۳ مورد دیگر

Prof. Martin Braschler is a Lecturer and Director of the Institute of Computer Science at ZHAW School of Engineering (Zurich University of Applied Sciences). He specializes in data science, information retrieval, and enterprise search systems. His interdisciplinary work bridges computer science, machine learning, and multilingual systems. Key projects include leadership in the DataInc, Skillue, and INODE initiatives, focusing on data integration, intelligent systems, and EU-funded research. He has published extensively in top journals like SIGMOD Record and Information Systems , emphasizing practical applications of data science in business environments. His research explores topics such as cross-language retrieval, algorithmic approaches for multilingual systems, and enterprise knowledge management. Research interests revolve around applied data science methodologies, information access evaluation (e.g., CLEF), and real-world implementation of machine learning techniques. He co-authored influential books like Applied Data Science: Lessons Learned for the Data-Driven Business and Multilingual Information Retrieval: From Research to Practice , highlighting transitions from theoretical research to industry solutions. Braschler has led multiple projects in collaboration with industry partners, focusing on scalable data systems and enterprise applications. Notable contributions include developing the INODE end-to-end data exploration system and pioneering work on untrained models for multimodal retrieval. His work on skill-extraction algorithms for job-matching platforms demonstrates practical impact in human resources automation. Braschler’s projects often address challenges in data integration, semantic search, and the evaluation of information systems in real-world contexts.