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Nele McElvanyView profile

Professor

• Educational Psychology
• Literacy Research
• Reading Comprehension
• +5 more

Nele McElvany serves as Professor of Empirical Educational Research and Vice Rector for Research at TU Dortmund University, where she has been Executive Director of the Institute for Research on Education and School Development (IFS) since 2014. Her academic career spans leadership roles in major educational research initiatives and significant contributions to understanding literacy development, educational assessment, and the intersection of migration and education within the Faculty of Educational Sciences, Psychology and Educational Research. Her research focuses on teaching and learning in school contexts, assessment and promotion of literacy skills, education in relation to migration and social inequalities, teacher competencies, and large-scale educational assessments. Professor McElvany's work particularly emphasizes reading comprehension development across diverse student populations, vocabulary acquisition mechanisms, and the impact of educational interventions on student outcomes. Her methodological expertise spans longitudinal studies, large-scale assessments, and experimental interventions. Analysis of her publication record reveals consistent engagement with international comparative studies, particularly the Progress in International Reading Literacy Study (PIRLS/IGLU), alongside growing attention to contemporary challenges like the educational impact of the COVID-19 pandemic. Her research demonstrates methodological sophistication through integration of qualitative and quantitative approaches to examine how family background, migration status, and educational policies affect learning outcomes. Professor McElvany leads numerous significant research projects including the Progress in International Reading Literacy Study 2026, the National Educational Panel Study (NEPS), and various initiatives focused on reading promotion through AI, teacher development, and educational equity. She serves on multiple national and international committees including as Chairwoman of the NEPS Network Committee and member of the Scientific Advisory Board of Stiftung Lesen.

Andrea DreyerView profile

Professor

• Art Education
• Didactics
• Teacher Professional Development
• +5 more

Prof. Dr. Andrea Dreyer is a full-time Professor of Art and its Didactics at the Bauhaus University Weimar , where she has served since 2013. She is Vice Dean for Strategic Development within the Faculty of Art and Design and actively participates in academic governance, including roles in graduation committees, teacher training advisory boards, and curriculum commissions. Her research focuses on teacher professionalization, architectural pedagogy, and digital art education, emphasizing interdisciplinary approaches and qualitative social research methodologies. First and Second State Examination for Teaching at Grammar Schools in Art Education and Social Studies (1994–2000, 2004–2006) Andrea Dreyer’s publications span topics such as Bauhaus-inspired pedagogy, urban-rural spatial education, and digital integration in art teaching. She has led initiatives like DigiProSMK and Denkraum.Bauhaus , and her work often bridges art, architecture, and societal transformation. She has served as Dean of Studies and Vice-Rector for Studies and Teaching at Bauhaus University, advocating for phase-transcendent teacher networks and reflective professional practices. Her recent articles address participatory architectural psychology, interdisciplinary curriculum design, and digitalization in art education. Despite extensive committee involvement and editorial contributions, no specific scientific awards are highlighted in the provided texts. She mentors students and collaborators within the kunst:pädagogik | netz:werk platform and maintains active partnerships with institutions like the Thuringian Ministry of Education and Friedrich-Schiller University Jena.

• Foreign Language Teaching
• Didactics of French
• Didactics of Spanish
• +7 more

Prof. Dr. Claudia Schlaak is Professor of Language Teaching and Learning Research: Didactics of French and Spanish at the University of Kassel, where she serves as Head of the Department of Foreign Language Teaching and Learning Research. She has held this position since September 2020, following an acting professorship at the same institution from October 2018 to December 2019. Her academic work bridges theoretical research and practical application in foreign language education, with particular focus on inclusive teaching methodologies and multilingual contexts. Dr. Schlaak's research centers on foreign language teaching and learning, with special emphasis on didactics of French and Spanish, inclusive education approaches, multilingualism in educational contexts, and the integration of digital technologies in language acquisition. Her work examines how diverse language backgrounds influence learning processes, with particular attention to bilingual learners (especially German-Turkish bilinguals) acquiring Romance languages. She investigates pronunciation acquisition, text complexity, intercultural competence development, and the implementation of inclusive teaching strategies that recognize learner diversity as a resource rather than a challenge. Analysis of her recent publications reveals a strong trend toward digital learning environments, with increasing focus on virtual reality applications, 360-degree learning environments, and digital tools for pronunciation training. Her research consistently addresses multilingual contexts and inclusive approaches, with growing attention to potential-oriented teaching methodologies that shift focus from deficits to learner strengths. The interdisciplinary nature of her work connects linguistics, educational psychology, and technology-enhanced learning. Dr. Schlaak serves as co-editor of the journal Romance Language and its Didactics (since January 2019) and the series French Didactics in Dialogue (since April 2020). She has contributed significantly to academic discourse through numerous edited volumes, special journal issues, and collaborative research projects that bridge theoretical insights with practical classroom applications. Her work demonstrates strong commitment to teacher education, with multiple publications addressing pre-service and in-service teacher training, particularly regarding inclusive practices, intercultural competence development, and the integration of digital tools in language teaching. She has developed practical teaching materials, including method cards for foreign language instruction and inclusive teaching resources for Spanish language classrooms.

• Contemporary German-Language Literature
• GDR Literature
• Cultural Studies Didactics
• +7 more

Dr. Frank Thomas Grub is Professor of German and Head of the Department of Modern Languages at Uppsala University. Educated at Universität des Saarlandes (Dr. phil. 2003) and promoted to Associate Professor at Gothenburg University (2012) before joining Uppsala as Professor (2018), he has been recognized as Excellent Teacher (2021). As founder of the Landeskunde Nord network since 2012 and editor of the Peter Lang book series since 2013, his career bridges academic research, educational innovation, and international collaboration. His research focuses on contemporary German-language literature , GDR cultural studies , and transcultural didactics . Key projects explore autobiographical writing, post-Wall literary representations, and the intersection of travel literature with cultural memory. Recent publications (2024-2025) examine media narratives of reunification and cultural stereotypes in language pedagogy. Prof. Grub contributes to German as a foreign language curriculum development Intercultural competence frameworks Editorial leadership in Northern European Germanistics His 2023-2025 works analyze graphic novels in education, migration discourse in literature, and media transitions during the Cold War.

Reza SamaviView profile

Associate Professor

• Information Security
• Machine Learning
• Trustworthy AI
• +5 more

Dr. Reza Samavi is an Associate Professor at Toronto Metropolitan University's Department of Electrical, Computer, and Biomedical Engineering, Faculty of Engineering & Architectural Science. He is also a Faculty Affiliate with the Vector Institute for Artificial Intelligence and directs the Trustworthy AI Research Lab (TAILab). Previously, he served as Assistant Professor and eHealth Graduate Program Coordinator at McMaster University's Department of Computing and Software (2014-2020). Holding a PhD in Computer Science (University of Toronto, 2013), his academic journey bridges industry experience with rigorous scholarly contributions. His research lies at the critical intersection of Trustworthy AI , Machine Learning Security , and Medical Informatics . He investigates Safety & Security of ML Algorithms Privacy-Preserving AI Systems Transparency Frameworks for Medical AI Blockchain-enabled Privacy Auditing Game Theory for Model Robustness Optimization-based Anonymization Techniques The TAILab research group under his leadership has produced groundbreaking work in Uncertainty Quantification for Neural Networks Robustness Against Adversarial Attacks Medical Image Analysis Clinical Decision Support Systems Emergency Medicine Predictive Modeling His recent projects focus on enhancing migrant youth mental health through LLM-based conversation agents and developing certified robustness guarantees for ensemble networks. Dr. Samavi's scholarly excellence is recognized through Privacy Technologies Research Award (IBM) Privacy By Design Research Award (Ontario IPC) Bridging Divides Emerging Research Grant (TMU) NSERC PGS-D Recipient (Co-supervised student) SOSCIP Accelerator Grant He has secured major funding from NSERC , SOSCIP , MITACS , HHS , and IDEaS programs. As a dedicated educator, Dr. Samavi teaches graduate courses in Secure Machine Learning and Software Testing while mentoring 15+ graduate students across PhD , MASc , and MEng programs. His lab has presented at premier venues including AAAI , IJCAI , and IEEE Transactions while maintaining active collaborations with institutions like Harvard, ETH Zurich, and the University of Waterloo.

Rowena HillView profile

Professor

• Emergency Management
• Disaster Psychology
• Psychological Health
• +7 more

Rowena Hill is a Professor of Psychology at Nottingham Trent University's School of Social Sciences, specializing in disaster psychology and emergency response systems. She holds key roles including ESRC Policy Fellow for Climate Change, Honorary Research Lead for the Fire Fighters Charity, and Chair of the National Fire Chiefs Council's Academic Collaboration Group. Her work bridges academic research with policy, focusing on resilience strategies for emergency responders, community risk management, and mental health support systems. Education: Not explicitly stated in provided texts Her research emphasizes psychological health in emergency contexts, including pandemic response, climate adaptation, and familial impacts of frontline work. She has led over 60 evidence-based reports for UK pandemic policy during her 2020–21 secondment to the C19 National Foresight Group. Key interests include humanitarian assistance frameworks, public risk communication, and organizational resilience in critical sectors. Recent publications analyze firefighter wellbeing, police resilience training, and extreme weather preparedness. Notable achievements include establishing evaluation frameworks for fire service interventions and advising national security inquiries. Awards: Fellow of the British Psychological Society, Fellow of the Higher Education Academy Dr. Hill collaborates with governmental bodies and emergency services, contributing to policy development through evidence synthesis. Her work addresses systemic challenges in emergency service collaboration, climate change adaptation, and psychological support structures for responders and affected communities. She leads the NTU Emergency Services Research Unit, focusing on operational learning and health strategies for emergency personnel. Current projects explore long-term resilience in post-pandemic recovery and climate-related disaster preparedness.

Aline FerreiraView profile

Associate Professor

• Translation Studies
• Bilingualism
• Cognition
• +3 more

Dr. Aline Ferreira is an Associate Professor and Director of the Bilingualism, Translation, and Cognition Laboratory at the University of California, Santa Barbara. She holds a Ph.D. from the Federal University of Minas Gerais (2013) and served as a post-doctoral research fellow in psychology at Wilfrid Laurier University. Her research focuses on bilingualism, translation processes, cognitive aspects of language, and reading. She has co-edited influential works such as The Handbook of Translation and Cognition and The Development of Translation Competence , and her work has been published in journals like Translation and Interpreting Studies and Reading and Writing . Her research interests include cognitive translation processes, bilingual cognition, and sociolinguistic factors in language learning. Recent studies explore food security disparities, indigenous health in Brazil, and the cognitive effects of immersion learning on L2 acquisition. Ferreira’s work bridges psycholinguistics, cognitive science, and applied linguistics to address interdisciplinary questions in translation and interpreting studies. She has contributed to over 50 peer-reviewed publications and serves as a key figure in advancing methodologies for studying translation processes using eye-tracking and retrospective protocols. Her lab focuses on measuring cognitive aspects of bilingualism and translation, with particular attention to marginalized populations such as Indigenous communities in Brazil. Her publications analyze topics ranging from gender and racial disparities in food insecurity to the neurological underpinnings of interpreting tasks. Ferreira’s research also addresses educational outcomes for multilingual learners and the role of sociocultural factors in language acquisition among immigrant populations.

Erik RodnerView profile

Professor

• Machine Learning
• Computer Vision
• Data Science
• +5 more

Prof. Dr. Erik Rodner is a faculty member at the University of Applied Sciences Berlin (HTW Berlin), where he serves as a Professor for Machine Learning and Data Science. He also contributes to the School of Engineering Sciences - Technology and Life. His research spans computer vision, machine learning, and biomedical applications, with a focus on learning with limited data, robust visual recognition models, and medical image analysis. He has developed innovative methods for medical diagnostics, industrial classification, and anomaly detection. Recent publications (2025-2016) highlight his expertise in visual in-context learning, semi-weakly segmentation, and active learning frameworks. He has collaborated with institutions such as ZEISS Group, Friedrich Schiller University Jena, and UC Berkeley. Scientific Awards: Award for Excellent Teaching (2023)

Poldi KuhlView profile

Professor

• Educational Psychology
• Developmental Psychology
• Digital Learning Platforms
• +4 more

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 .

• Digital Trust
• Cybersecurity
• Blockchain
• +12 more

Dr. Felix Härer is a Lecturer and researcher at the University of Applied Sciences FHNW, School of Business, Basel, Switzerland, and also teaches externally at the University of Fribourg. He is affiliated with the Digital Trust Competence Center, where he conducts research and teaching in IT Security, Cybersecurity, Digital Trust, Blockchain, AI, Cloud Computing, and Systems Modeling. His research interests span a broad and interdisciplinary range, including: Digital Trust and Cybersecurity Blockchain and Decentralized Systems AI and Knowledge-based Systems (including LLMs and RAG) Software and Systems Modeling (BPMN, ArchiMate) Data Science and ETL-based Analytics Zero Trust and Secure Architectures His recent publications (2020–2023) demonstrate a strong focus on blockchain interoperability, model-driven engineering, decentralized applications, and the integration of AI with conceptual modeling. He explores scalable architectures, cross-chain query languages, and secure attestation mechanisms, often combining modeling approaches with emerging technologies. His work bridges academic rigor with practical implementation in distributed and cloud environments. Scientific awards include: Best Paper Award at IEEE PKIA 2023 He actively supervises bachelor’s and master’s theses and student projects in digital trust and related domains. He has served on PhD committees externally and is a reviewer and program committee member for journals and conferences such as IEEE Transactions, WWW, CAiSE, and EMISAJ. His professional experience includes industry work at Siemens Healthineers in software engineering. He is a member of the IEEE Blockchain Group (Switzerland) and contributes to UN/CEFACT standards for e-commerce and supply chain data. He is involved in organizing workshops and conferences, including B4ISE 2025, B4TDS 2023–2024, and DESRIST 2023, and has delivered keynotes on Computational Trust and Blockchain Interoperability.

Yan CongView profile

Assistant Professor

• Natural Language Processing (NLP)
• Semantics and Pragmatics
• Computational Linguistics
• +4 more

Yan Cong is an Assistant Professor at Purdue University, focusing on Chinese linguistics and computational linguistics. Their work bridges natural language processing (NLP), semantics, and pragmatics, with applications in artificial intelligence (AI), language education, and healthcare. Research Focus: Developing text analysis models to quantify and improve language learning, assessing semantic/pragmatic competence in language models, and applying computational methods to speech and language fluency. Background: Former NLP researcher at the Feinstein Institutes, with a PhD in Linguistics from Michigan State University. Research Themes: Yan Cong integrates linguistic theory with AI to explore language understanding in humans and machines. Key areas include Computational modeling of semantics and pragmatics Application of NLP to second language acquisition Development of interpretable AI systems for education and healthcare Analysis of speech disturbances in clinical contexts (e.g., schizophrenia, aphasia) Awards: No specific honors mentioned in the provided text.

• Anesthesiology
• Perioperative Echocardiography
• Cardiac Anesthesia
• +3 more

Michelle Cooper Curtis, MD, serves as a Clinical Associate Professor in the Department of Anesthesiology at the University of Utah. Board certified by the American Board of Anesthesiology, she holds advanced echocardiography credentials from the National Board of Echocardiography including Special Competence in Adult Echocardiography and Advanced Perioperative TEE certification. Education B.S. in Biology from Utah State University M.D. from University of Utah School of Medicine Internal Medicine Internship at University of Utah Anesthesiology Residency and Chief Residency at University of Utah Perioperative Echocardiography Fellowship at University of Utah Her research integrates perioperative cardiac monitoring with anesthesia practice, specializing in echocardiography applications during surgical procedures. Concurrently, she pioneers simulation-based educational methodologies for anesthesia resident training, emphasizing technical skill acquisition and crisis resource management through immersive clinical scenarios. Recent publications reveal a dual scholarly trajectory: physiological investigations into exercise-induced respiratory mechanics and innovative frameworks for anesthesia education. Her 2024 works demonstrate cross-disciplinary engagement spanning basic physiological research and clinical pedagogy development. No scientific awards were documented in the source materials. No advising relationships or research grants were specified in the available information. No laboratory affiliations or research team structures were referenced in the provided text.

Haiyang AiView profile

Associate Professor

• Corpus Linguistics
• Natural Language Processing
• Second Language Acquisition
• +3 more

Haiyang Ai is an Associate Professor in the Literacy and Second Language Studies program at the University of Cincinnati's School of Education. His research applies corpus linguistics and natural language processing to investigate second language acquisition, writing complexity, and bilingual language processing. His educational background includes a Ph.D. in Applied Linguistics from The Pennsylvania State University (2015), an M.A. in Linguistics & Applied Linguistics from the University of Chinese Academy of Sciences (2006), and a B.A. in English from Shaanxi Normal University (2003). Dr. Ai's research spans corpus linguistics, natural language processing, second language acquisition, and computer-assisted language learning. He specializes in compiling and analyzing native and learner corpora to develop intelligent language learning systems and investigate lexical/syntactic complexity in L2 writing. His methodological approach integrates computational tools with theoretical linguistics to address practical language teaching challenges. His recent publications (2019-2023) demonstrate consistent focus on lexical bundles in professional communication, automating complexity measurement in Chinese, speech perception mechanisms in bilinguals, and grammatical puzzles in English learning. These works bridge corpus-based analysis with psycholinguistic experimentation across diverse subfields including morphosyntax, pragmatic competence, and cognitive processing in L2 acquisition. Dr. Ai has secured multiple University of Cincinnati grants including three CECH Faculty Development Grants ($2500 in 2017-2018 for verb-noun collocation research, $2000 in 2016-2017 for corrective feedback tools) and the NCFDD Faculty Success Program ($3250 in 2017), all supporting his development of computational language learning resources.

Torsten SteinhoffView profile

Professor

• Writing Didactics
• Vocabulary Didactics
• Digital Communication in Education
• +7 more

Torsten Steinhoff is a Professor of Didactics of the German Language at the Department of Germanic Studies, University of Siegen, Faculty of Arts and Humanities. His research and teaching focus on theoretical, methodological, and empirical aspects of language acquisition and instruction from elementary to university levels. His primary research interests include: Writing didactics (Schreibdidaktik) Vocabulary didactics (Wortschatzdidaktik) Language-specific and disciplinary learning (Sprache im Fach) Digital communication and AI in education Development of complex learning arrangements (Lernarrangements) Steinhoff investigates how digital tools like ChatGPT can be integrated into writing instruction, promoting argumentative writing through structured learning tasks. His recent work (2023–2025) analyzes human-AI collaboration in writing, proposing models such as GPT as Ghost, Partner, or Tutor. He emphasizes a post-digital didactic approach, balancing traditional literacy with digital competencies. His publications reflect a strong trend in digital transformation of writing, multilingual education, and empirical interventions in secondary classrooms. He leads research projects funded by BMBF and MKW NRW, including the "AI Writing Arrangements" project tested in 8th-grade classes. Scientific contributions and collaborations: Co-editor of research handbooks on empirical writing didactics Collaborator with scholars like Nicole Marx, Katrin Lehnen, and Joachim Grabowski Active contributor to journals such as Didaktik Deutsch , BiSS-Journal , and Waxmann publications Hosts a research team at lernarrangements.de He advises on academic language development, text procedures, and vocabulary transfer across modalities and subjects. His lab develops open educational resources (OER) for digital writing and communication, contributing to platforms like Twillo.

Bogusława WhyattView profile

Professor

• Psycholinguistics
• Translation Studies
• Translation Process Research
• +5 more

Bogusława Whyatt is a Professor at the Faculty of English, Adam Mickiewicz University, Poznań. She holds a D.Litt. in linguistics (2014), Ph.D. in English (2000), and MA in English (1992) from Poznań institutions. Her academic profile spans psycholinguistics, translation studies, and cognitive approaches to translation processes. Key research themes include: Translation process dynamics and directionality effects Eye-tracking applications in translation reception studies Development of translation competence and pedagogy Psycholinguistic analysis of language processing Metacognitive skill transfer between translation and paraphrasing Recent publications focus on cognitive effort metrics, directionality impacts, and empirical methodologies combining eye-tracking and key-logging data. She leads major projects like Read Me (2021-2025) and EDiT (2016-2019), examining translated text reception and translation directionality respectively. Scientific honors include three consecutive Adam Mickiewicz University Rector's Awards for Organizational Excellence (2018, 2023, 2024). She supervises PhD research in translation cognition and has mentored four doctoral candidates to completion. Active in professional networks like the MC2 Lab and TREC consortium, she contributes to cognitive translation studies through methodological innovations and international conference organization. Her methodological expertise includes psychometrics, EEG research, and ATLAS.ti data analysis tools.