جست‌وجوی استاد و پژوهشگر

Jean Nitzkeمشاهده پروفایل

دانشیار

• Post-editing Machine Translation
• Cognitive Translation Studies
• Translation Technologies
• +۱ مورد دیگر

Jean Nitzke is an Associate Professor at the Department of Foreign Languages and Translation , University of Agder, Norway. She specializes in post-editing machine translation , cognitive translation studies , and translation technologies , with a focus on specialized translation (technical, medical, business, legal domains) and AI integration in translation workflows. Current teaching: Specialised translation , Translation technologies , and Language technology & generative AI Research groups: Agder Forum for Translation Studies , Experimental linguistics Her 2025-2024 research explores low-diffusion language translation technologies , industry post-editing practices , and machine translation evaluation for under-researched pairs. Earlier works (2022-2021) analyze cognitive processes in post-editing, intralingual corpora for Easy German, and hybrid translation workflows in education. She collaborates with Silvia Hansen-Schirra , Carmen Canfora , and Katharina Oster , among others. Key 2019 publications include empirical studies on problem-solving activities in post-editing, training digital competencies via blended learning, and risk management in machine translation workflows. Her work bridges academic research and industry applications , emphasizing human-AI collaboration in translation.

• Empirical Software Engineering
• Code Quality Analysis
• Software Maintenance
• +۷ مورد دیگر

Rocco Oliveto is a Professor in the Department of Computer Science at the University of Salerno, Italy, with a distinguished research career spanning over two decades in empirical software engineering. His work bridges theoretical software engineering principles with practical applications, with recent expansion into healthcare informatics and machine learning applications. His research interests focus on code quality assessment, software maintenance practices, developer behavior analysis, and empirical studies of software engineering phenomena. He has made significant contributions to understanding code smells, bug prediction, API compatibility issues, and more recently, container technologies and smart contract analysis. His recent work demonstrates a strategic expansion into healthcare applications, leveraging software engineering techniques for medical diagnostics and rehabilitation systems. Oliveto's publication pattern shows consistent productivity with multiple high-impact publications each year across top venues including IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and Empirical Software Engineering journal. His recent articles (2023-2025) reveal a growing interest in applying software engineering techniques to healthcare domains while maintaining strong contributions to core software engineering topics. The research demonstrates sophisticated methodological approaches combining empirical studies with machine learning techniques. His collaborative network includes prominent researchers such as Simone Scalabrino, Gabriele Bavota, and Andrea De Lucia, with whom he has co-authored numerous high-impact publications. This collaboration spans both traditional software engineering topics and emerging interdisciplinary applications in healthcare.

Siegfried Handschuhمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Prof. Dr. Siegfried Handschuh is a Full Professor for Data Science and Natural Language Processing at the Institut für Informatik (ICS-HSG), University of St. Gallen. His research focuses on advanced NLP techniques, financial text analysis, and AI-driven solutions in cybersecurity and education. He leads projects like CS-AWARE-NEXT, enhancing cybersecurity awareness in public institutions. Prof. Handschuh has authored over 100 publications, with recent work emphasizing transformer optimization, generative AI applications, and educational tools for argumentative writing. His team collaborates with companies like Rheasoft and Peracton on AI-powered financial analytics and cybersecurity systems. Education: Doctorate in Computer Science, specialized in knowledge representation and semantic web technologies. Research Interests: Data science, machine learning, financial NLP, cybersecurity, and AI in education. His work bridges academia and industry, addressing real-world challenges in finance, cybersecurity, and educational technology through innovative AI frameworks.

• Translation Studies
• Bilingualism
• Corpus Linguistics
• +۳ مورد دیگر

Dr. Timea Kovacs is an Associate Professor at the Faculty of Humanities and Social Sciences , Károli Gáspár Reformed University , specializing in Translation Studies , Bilingualism , and Corpus Linguistics . She previously served at Edutus College and the National Translation Certification Office. PhD in Applied Linguistics (University of Pécs, 2011) MA in English-History (ELTE, 1998) and Translation and Interpreting (Corvinus University, 2012) Her research focuses on intercultural communication , machine translation , and code-switching in bilingual communities. She has led the Intercultural Research Group and contributed to intercultural education frameworks. Recent publications explore neural machine translation in legal contexts, lexical simplification , and code-switching patterns in multilingual literature. She has edited volumes on religious text translation and contrastive linguistics . Member of academic societies MANYE and EULITA , she has held Erasmus and Fulbright fellowships, delivering lectures in Finland, Portugal, Turkey, and Spain on intercultural topics.

• Educational Psychology
• Language Learning
• Teaching Methods
• +۸ مورد دیگر

Dr. Elisabeth Mundt is a Researcher in the Department of Educational Psychology at the University of Kassel. She is currently on parental leave until autumn 2025, during which she will not supervise theses or administer state examinations. Colleague Madeleine Domenech will handle KonVerS study-related inquiries until October 2025. Her research focuses on educational psychology, language learning, teaching methods, cognition, motivation, heterogeneity in education, and diagnostic competence. She co-leads the KonVerS project, which investigates the effects of contrasting and comparing learning principles on written language skills for grades 5–6, particularly targeting non-grammar schools. The study involves two double lessons on semantic concepts, capitalization, and diagnostic text competence, with materials designed for students in grades 5–6. Recent publications include works on text simplification in vocational schools, written argumentation analysis, and factors influencing oral participation in higher education. For collaboration or inquiries, contact her at e.mundt@uni-kassel.de .

Selçuk Bilginمشاهده پروفایل

مدرس

• Educational Technology
• Adult Education
• Measurement and Evaluation in Language Education
• +۶ مورد دیگر

Selçuk Bilgin is a Lecturer at Özyeğin University's School of Foreign Languages since 2015. He holds a Master's degree in Distance Education Technologies from Sakarya University (2024) and is pursuing a PhD in Computer and Educational Technologies at Sakarya University. Research Interests: Educational Technology, Artificial Intelligence in Education, Second Language Acquisition, Applied Linguistics, Language Teaching Methodology Education: MA in Distance Education Technologies (Sakarya, 2024), BA in English Language Teaching (Marmara, 2008) His work focuses on cognitive challenges in EFL speaking, relative clause processing dynamics, reading engagement strategies, and grammar integration in writing. He previously served as English Instructor, Level Coordinator, and Assessment Office Coordinator at Hasan Kalyoncu University.

Shmuel Avidanمشاهده پروفایل

استاد

• Object Tracking
• 3D Object Modeling
• Computer Vision
• +۳ مورد دیگر

Prof. Shmuel Avidan serves as a Professor in the School of Electrical Engineering at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. Holding a Ph.D. from Hebrew University's School of Computer Science (1999), he brings extensive industry experience from Adobe, Mitsubishi Electric Research Labs, MobilEye, and Microsoft Research to his academic role. His educational trajectory features: Ph.D. in Computer Science, Hebrew University of Jerusalem (1999) Avidan's research centers on pixel-centric computational problems, with seminal contributions in video object tracking and 3D object modeling from 2D images. His work spans computer vision, image processing, and machine learning, emphasizing practical applications in industrial settings. Current investigations explore neural rendering, foundation models, and diffusion-based architectures for visual understanding. Recent publications (2023-2025) demonstrate concentrated innovation in neural radiance fields (NeRF), category-agnostic pose estimation, and texture-aware segmentation. These works increasingly integrate foundation models with domain-specific applications in medical imaging, autonomous systems, and materials science, reflecting a strategic shift toward scalable vision systems. Though specific awards aren't documented in source materials, his prolific publication record and sustained industry partnerships signify substantial field impact. His research group maintains active collaboration with leading technology firms, translating academic discoveries into real-world solutions. Professor Avidan mentors graduate students in computer vision while securing competitive grants for projects at the intersection of theoretical computer vision and industrial implementation. His lab focuses on developing robust algorithms for challenging visual environments, particularly in autonomous driving and medical imaging contexts. Leading an active research group within Tel Aviv University's Electrical Engineering department, he drives innovation in neural rendering and vision-language models. The team regularly contributes to premier conferences including CVPR, ICCV, and ECCV, maintaining strong industry ties through ongoing partnerships with automotive and imaging technology companies.

ALBERTO ALVAREZ LUGRISمشاهده پروفایل

پژوهشگر

• Translation Studies
• Corpus Linguistics
• Comparative Stylistics
• +۳ مورد دیگر

Alberto Alvarez Lugrís is a full-time researcher affiliated with the University of Vigo's Faculty of Philology and Translation , specifically in the Department of Translation and Linguistics . He focuses on Translation and Interpretation studies, with particular emphasis on comparative stylistics and corpus-based translation research. Doctorate: University of Vigo (1999) Supervisors: Dr. María Dolores Gómez Penas, Dr. José Yuste Frías Research Group: TI4 Translation & Paratranslation Campus: Vigo His research spans translation theory , lexicography , and computational linguistics . He has developed corpus-based methodologies for bilingual dictionary creation and translation analysis. Current projects involve Galician-English translation dynamics and translator training using digital tools. Scientific production trends show sustained contributions to: Corpus linguistics applications Translation pedagogy Lexicographic resource development Stylistic analysis in translation Cultural transfer studies Translator identity research Selected honors: Recipient of IV Premio Plácido Castro de tradución (2005) His digital lexicography work includes: Modern Dictionary (Inglés-Galego) development CLUVI bilingual dictionary projects Corpus-driven lexicographic planning

• Cognitive Linguistics
• Morphosyntax
• Semantics
• +۶ مورد دیگر

Claudio Di Meola is a Full Professor at Sapienza University of Rome, affiliated with the Department of European, American and Intercultural Studies. He teaches German linguistics and language courses, including German Language I and German Translation III, and coordinates exam schedules for undergraduate and master's students. His institutional email is claudio.dimeola@uniroma1.it, and he holds office hours by appointment. Di Meola's research centers on German linguistics with interdisciplinary foci in cognitive linguistics, morphosyntax (e.g., connectors, prepositions), semantics (metaphor, polysemy, verb tenses), and contrastive linguistics. His work bridges theoretical frameworks with practical applications in language pedagogy, particularly for Deutsch als Fremdsprache (German as a Foreign Language). Key themes include the simplification of German grammar ( Leichte Sprache ), tense semantics, and cross-linguistic analysis between German and Italian. His recent publications (2020–2024) predominantly explore grammar pedagogy , tense semantics , and contrastive linguistics . Articles analyze the optimization of German teaching materials, structural complexities in German syntax, and pragmatic dimensions of tense usage in discourse. Recurring subfields include morphosyntax, lexical semantics, DaF curriculum design, and cognitive-linguistic approaches to language simplification.

Qi Fengمشاهده پروفایل

استادیار

• Deep Learning
• Computer Graphics
• Computer Vision
• +۵ مورد دیگر

Qi Feng is an Assistant Professor at the Faculty of Science and Engineering, Waseda University, specializing in deep learning applications for computer graphics and vision, with a focus on virtual and augmented reality. He holds a Doctor of Engineering (2022), Master of Engineering (2019), and Bachelor of Engineering (2017) from Waseda University. Research Interests: His work spans 3D reconstruction, depth estimation, occlusion handling, and multimodal systems integrating eye tracking and speech recognition. Notable projects include SyncViolinist for audio-driven motion generation and the Depth360 dataset for omnidirectional imaging. Publications: Qi's research has been featured in top conferences like CHI, ISMR, ICCVW, and journals such as The Visual Computer. His articles emphasize practical solutions for immersive environments, language learning, and synchronized audio-visual editing. Contact: Email: fengqi@ruri.waseda.jp

Johannes Zieglerمشاهده پروفایل

استاد پژوهشی

• Reading
• Dyslexia
• Computational Modeling
• +۲ مورد دیگر

Johannes Ziegler is a CNRS Research Director and Director of the Convergences Institute 'Language, Communication, and the Brain' at Aix-Marseille University. He chairs the Internal Scientific Council of the Pilot Center for Research in Education (AMPIRIC) and serves on France's National Education Scientific Council (CSEN). His research bridges cognitive neuroscience, psychology, and education, with a focus on reading mechanisms, dyslexia, and computational modeling. Ziegler's work emphasizes: Cerebral basis of reading across languages Computational models of normal/pathological reading Development of digital literacy tools (GraphoGame, Hibou) Interventions for learning disabilities in underprivileged schools His recent publications (2021-2025) demonstrate strong trends in: Neurobiological foundations of dyslexia using fMRI/neural imaging Predictive processing and statistical learning in reading Morphological/semantic influences on word acquisition Technology-assisted literacy interventions Awards: CNRS Bronze Medal (prestigious French research award) Knight of the National Order of Merit (national honor) Leadership & Projects: He directs multidisciplinary teams at ILCB and CRPN labs, overseeing ANR-funded initiatives like the GraphoGame adaptation for French students and the 'Language, Communication, and the Brain' convergence institute.

• Language Didactics
• Digital Writing
• Artificial Intelligence in Education
• +۳ مورد دیگر

Radia Hannachi is a Senior Lecturer in Language Didactics at the University of Franche-Comté, affiliated with the research team Heritage and Creation in Text and Image (HCTI). Her work bridges language pedagogy and digital innovation, emphasizing: AI-driven writing assessment and generative tools Multimodal grammar instruction Collaborative digital literacy frameworks Her research, often co-authored with international collaborators, examines technology's role in reshaping language education. Recent publications highlight trends in generative AI applications, scientific text simplification, and social media discourse analysis. She actively contributes to CLEF initiatives, focusing on accessibility in academic communication. Key research domains include: Language Didactics : Active learning methodologies enhanced by digital tools Digital Writing : From mind mapping to AI-assisted co-creation Multimodal Communication : Integrating text, image, and data visualization She maintains a focus on practical pedagogical innovations, as evidenced in her development of virtual collaborative environments and strategies for technology integration in curricula.

Mónica Souto Gonzálezمشاهده پروفایل

مدرس

• SFL teaching
• ICT integration in the curriculum
• formative assessment
• +۳ مورد دیگر

Mónica Souto González is a Lecturer in the Department of Modern Languages at Boğaziçi University, Turkey, where she has been part of the Spanish instructors' team since 2015. She actively designs curricula, class materials, and assessment systems while contributing to teacher training initiatives. Education: Ph.D. in Education (ongoing), University of La Laguna, Spain M.A. in Education and Technology, University of La Laguna, Spain (2017) M.A. in Teaching Spanish as a Second Language, University of Alcala, Spain (2013) B.A. in European Languages and Cultures, University of Modena and Reggio Emilia, Italy (2007) Her research pioneers Spanish as a Foreign Language (SFL) pedagogy , emphasizing ICT integration for digital competence, formative assessment via rubrics, learner autonomy , and key competencies development . She innovates through learning design frameworks that merge technology with curriculum to enhance language acquisition. Publication analysis (2009–2017) reveals dual expertise: language education technology (2013–2017) focusing on digital narration and rubric-based assessment, and Cuban linguistics/literature (2009–2011) examining 19th-century narratives and Havana speech patterns. Recent work prioritizes competency-driven strategies for modern ELE classrooms. Scientific Awards: None documented. She mentors preservice Spanish teachers from Comillas Foundation, Girona University, and Valencia International University via Boğaziçi's internship program and presents at conferences for Cervantes Institute, Istanbul University, and Edinumen/SGEL publishers. No research grants are specified. As a core organizer of Boğaziçi University's annual Jornadas de Formación de Profesorado ELE since 2014, she drives professional development for Spanish educators across Turkey and Spain.

• Linguistic Analysis
• Pragmatic Analysis
• Expert Discourse
• +۶ مورد دیگر

María Ángeles García Asensio is a Doctor in Hispanic Philology (Spanish Language) and Professor in the Department of Hispanic Philology, Theory of Literature and Communication at the University of Barcelona's Faculty of Information and Audiovisual Media. She teaches undergraduate courses in Audiovisual Communication and serves as a member of the Estudis del Discurs Acadèmic i Professional (EDAP) research group. Her office is located at Melcior de Palau, 140, 08014 Barcelona, office 314. Her research focuses on the linguistic and pragmatic analysis of expert (academic and professional) discourse, with particular emphasis on discourse generated in digital and audiovisual communication techniques, persuasive communication, and optimization of specialized written texts. She has conducted significant research on clear language in tax administration and judicial communication, examining how institutions can improve citizen understanding of complex administrative documents. Her publication record demonstrates a clear trend toward interdisciplinary research connecting linguistics with public administration, tax systems, and judicial processes. She has consistently published on the application of linguistic principles to improve communication between government institutions and citizens, particularly in Spanish tax administration contexts. Her work bridges theoretical linguistics with practical applications in real-world communication challenges. She has been actively involved in service-learning projects, particularly those connecting Audiovisual Communication students with Medical students to create educational content for public health awareness. This includes projects on antibiotic use, diabetes treatment, and other medical topics requiring clear communication to the public. Her research methodology combines discourse analysis with pragmatic approaches to examine how language functions in professional contexts, particularly focusing on how specialized discourse can be made more accessible to non-experts while maintaining necessary precision.