جست‌وجوی استاد و پژوهشگر

Irene Corvacho del Toroمشاهده پروفایل

مدرس ارشد

• Orthography and Spelling Acquisition
• Didactics of the German Language
• Multilingualism and Language Support
• +۷ مورد دیگر

Dr. phil. Irene Corvacho del Toro is a Senior Academic Councillor in the Department of German Studies at the University of Siegen , Faculty I. She earned her doctorate from Goethe University Frankfurt and has held research positions at Goethe University and the University of Bamberg. Her work is deeply embedded in language didactics, orthography, and multilingual education. University: University of Siegen School: Faculty I Department: German Studies Position: Senior Academic Councillor (AOR) Email: corvacho.del.toro@germanistik.uni-siegen.de Her research focuses on orthography acquisition , spelling difficulties , teacher expertise , multilingualism , and the application of artificial intelligence in education . She investigates how teachers' subject knowledge impacts student spelling performance and develops interventions for students with learning difficulties. Her work bridges linguistic theory and practical classroom application, particularly in primary and secondary education. The recent publications reflect a strong trend in empirical educational research , with a focus on spelling interventions , digital learning tools , teacher training evaluation , and language support in multilingual contexts . Many studies employ mixed methods and are often co-authored with interdisciplinary teams from psychology and education. Scientific Prize of the Federal Association for Dyslexia and Dyscalculia (2017) 1822 University Prize for Excellent Teaching at Goethe University (2016) Dr. Corvacho del Toro is actively involved in advising and academic leadership. She serves as a co-editor of the journal Lernen und Lernstörungen and has led and co-led multiple research projects funded by the BMBF and MSB NRW, including initiatives on AI in teaching (KIMADU), language and emotion in education (SEM), and the Orthography Competence Center. She has also contributed to the development of digital training units for teachers and published numerous teaching materials. Her work demonstrates a sustained commitment to improving educational practices through research, teacher development, and public engagement. She is affiliated with several professional organizations, including the Symposium on German Didactics (SDD), the IDeA Center at DIPF, the Federal Association for Dyslexia and Dyscalculia (BVL), and the Professional Association for Integrative Learning Therapy (FiL), where she serves on the board.

Sebastian Baderمشاهده پروفایل

پژوهشگر

• Neuro-Symbolic Artificial Intelligence
• Human Activity Recognition
• Assistive Systems for Dementia
• +۷ مورد دیگر

Sebastian Bader is a research scientist at the Institute for Visual & Analytic Computing at the University of Rostock, where he contributes to the Chair of Mobile Multimedia Information Systems. His work bridges artificial intelligence, human-computer interaction, and healthcare applications, particularly in assistive technologies. Doctoral Degree: Dr. rer. nat. in Neural Symbolic Integration, TU Dresden, 2009 (summa cum laude) His research interests focus on neuro-symbolic AI, human activity recognition, and intelligent assistive systems for dementia care and neurorehabilitation. He investigates how AI can support clinical interventions, improve patient monitoring, and enhance explainability in medical contexts. His work emphasizes ethical considerations, real-world usability, and integration with sensor and robotic systems. The recent publications highlight a strong trend in applying AI to healthcare, particularly in modeling patient behavior, evaluating robotic assistance, and developing explainable and ethical AI systems. Topics span from underwater robotics to Alzheimer’s diagnostics, showcasing interdisciplinary expertise. He supervises Bachelor's and Master's theses on topics such as visualizing uncertainty in ML, semi-automatic test generation using LLMs, and building probabilistic digital shadows of the Port of Rostock. Sebastian Bader actively collaborates with medical researchers and industry partners, and his projects include "SAMi" (sensor-based activity management for dementia) and "E-BRAiN" (robot-assisted neurorehabilitation). He contributes to both technical AI development and real-world deployment in healthcare environments.

• Software Engineering
• Agile Methods
• Embedded Systems
• +۳ مورد دیگر

Adilson Marques da Cunha is a Professor at the Brazilian Aeronautical Institute of Technology (ITA), with a focus on software engineering and computational systems. His career spans academic research and development in embedded systems, real-time applications, and machine learning methodologies. Affiliation: Brazilian Aeronautical Institute of Technology Research Interests: Dr. da Cunha's work centers on agile software development , embedded system optimization , and numerical integrator frameworks . He has contributed to deep reinforcement learning for robotics and recommender systems for news, while also exploring climate prediction models using big data. Publication Trends : 2025 papers focus on universal numerical integrators and Python testing frameworks; 2024 work involves autonomous air navigation; 2022 studies include humanoid robotics and climate modeling

• Bioinformatics
• Computational Biology
• Protein Language Models
• +۳ مورد دیگر

Robert Schmirler is a researcher at the Chair for Bioinformatics within the School of Informatics at the Technical University of Munich. His work spans computational biology and fluid dynamics, with a focus on protein language models and porous media simulations. Teaching: Masterlab Data Mining, GoBI (Graduate Training Programme International), Master's Internship, Project-Based Learning (PBL), and Introduction to Computer Science for Computational Biology. Research interests center on Bioinformatics and Computational Biology , particularly leveraging Protein Language Models and Machine Learning to enhance biological data predictions. Earlier work involved Fluid Dynamics and Porous Media Simulation , including validation with X-ray/neutron tomography. His publications reflect this duality: recent studies focus on Protein Language Models (2023-2024), while older work (2013) explores Lattice Boltzmann simulations for two-phase flow. Articles highlight applications of Deep Learning , Neural Networks , and Data-driven Predictions in biology, alongside computational methods in physical systems.

Zhenyang Xuمشاهده پروفایل

پژوهشگر

• Software Testing
• Debugging
• Program Reduction
• +۲ مورد دیگر

Zhenyang Xu is a researcher affiliated with the University of Waterloo, specializing in Software Testing and Debugging . He has contributed to advancements in program reduction techniques, including projects like PPR (Pairwise Program Reduction), WDD (Weighted Delta Debugging), and LPR (Large Language Models-Aided Program Reduction). His work focuses on improving the efficiency and effectiveness of debugging through empirical studies and novel algorithms. Research Interests : Software Testing, Debugging, Program Reduction, Software Engineering Key Publications : Kitten (2025, ISSTA) for LLM-based compiler testing T-Rec (2025, ICSE) on lexical syntax-guided reduction Pushing the Limit of 1-Minimality (2023, SPLASH) Conferences : Active in ISSTA, ICSE, SPLASH, ESEC/FSE

Jonas Wiednerمشاهده پروفایل

پژوهشگر ارشد

• Migration Studies
• Social Stratification
• Labor Market Research
• +۵ مورد دیگر

Dr. Jonas Wiedner is a Research Fellow at the WZB Berlin Social Science Center, working within the Research Department Migration, Integration, Transnationalization (Migration and Diversity Department). Based in Berlin at Reichpietschufer 50, room B 415, he leads the "Unequal Trajectories" project, a collaborative research initiative with LifBi Bamberg and IAB Nürnberg funded by the Leibnizgesellschaft under the SAW competition program. His work focuses on the intersection of spatial processes and social integration, particularly examining how residential mobility and neighborhood contexts shape immigrant integration trajectories. Wiedner's research interests span migration studies, social stratification, labor market dynamics, and spatial sociology. His work particularly investigates qualification mismatch in labor markets, the role of ethno-religious neighborhood infrastructures in immigrant well-being, and the economic adaptation of immigrant groups in changing labor markets. He employs mixed-method approaches combining quantitative analysis of large-scale datasets with spatial analysis techniques, often using innovative methodologies to address self-selection issues in neighborhood effects research. His comparative work between Germany and the United Kingdom provides important insights into how different institutional contexts shape educational and labor market outcomes. His publication record demonstrates consistent scholarly output in top-tier journals including Social Forces, Urban Studies, International Migration Review, and Social Science Research. Wiedner's research reveals important patterns about how refugees navigate residential choices with trade-offs between immediate needs and long-term integration prospects, how educational expansion affects qualification mismatch differently across national contexts, and how neighborhood characteristics differentially impact immigrants versus their descendants. His work on Turkish immigrants in Germany shows how structural economic changes have exacerbated labor market inequalities rather than facilitating economic assimilation. As principal investigator of the "Unequal Trajectories" project, Wiedner directs research examining how residential mobility and spatial context shape multidimensional integration trajectories of refugees, particularly comparing those who arrived around 2015 with Ukrainians arriving after February 2022. The project combines longitudinal and geocoded data from multiple sources to analyze integration across language acquisition, inter-ethnic contacts, sense of belonging, children's learning, labor market outcomes, health, and subjective well-being. This research provides evidence necessary for designing effective refugee accommodation policies that balance immediate humanitarian needs with long-term integration outcomes.

Jin-Dong Kimمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Bioinformatics
• Data Mining
• +۳ مورد دیگر

Jin-Dong Kim is a Project Associate Professor at the Database Center for Life Science (DBCLS) , part of the Research Organization of Information and Systems (ROIS) . His work bridges Natural Language Processing and Bioinformatics through innovative projects like PubAnnotation and LODQA. Research focus: Biomedical text mining and knowledge base construction Key projects: OntoFinder, OntoCloud, and DialoQ systems Leadership roles: Convener of ISO TC37 SC4 WG1 on language resources Email: jdkim@dbcls.rois.ac.jp Kim's research interests span NLP , Bioinformatics , and Semantic Web technologies. His recent publications emphasize semantic interoperability , biomedical event extraction , and ontology-driven data integration . Community contributions include: Area Chair, ACL 2023 Resources and Evaluation track Chair, COLING 2024 Ethics Committee Editorial Board member for multiple journals including Journal of Language Resources and Evaluation His work has advanced question-answering systems , annotation frameworks , and biomedical knowledge graph construction through collaborative initiatives like the BioHackathon series.

Hassan Husseinمشاهده پروفایل

پژوهشگر

• Semantic and Web Technologies
• Human-Computer Interaction
• Web Accessibility
• +۵ مورد دیگر

Hassan Hussein is a PhD student at Leibniz University Hannover and a Researcher in the Data Science & Digital Libraries group at TIB (Leibniz Information Centre for Science and Technology). His academic journey includes a Master's in Human-Computer Interaction from Siegen University, a Fulbright Scholarship for computer science studies in the U.S., and specialized training in web development from an IBM-managed program funded by the Egyptian government. His research integrates Semantic Web Technologies, Human-Computer Interaction, and Augmented Reality , with emphasis on accessibility and user-centered design. Key domains include natural user interfaces, UX engineering, and the application of knowledge graphs in scholarly communication. Recent publications focus on advancing the Open Research Knowledge Graph (ORKG) , addressing reproducibility, FAIR data principles, and AI-augmented research workflows. Earlier work explores augmented reality for civic engagement in urban planning. Awards: Fulbright Scholarship Egyptian Ministry of Communications Scholarship He contributes to TIB's research infrastructure and collaborates on projects involving semantic technologies, though no specific labs, teams, or grants are detailed in the source.

Gullal Cheemaمشاهده پروفایل

پژوهشگر

• Multimodal Analysis
• News Analysis
• Fake News Detection
• +۵ مورد دیگر

Gullal Cheema is a Researcher at the Visual Analytics department of Technische Informationsbibliothek (TIB), the German National Library of Science and Technology. Based in Hannover, Germany, Cheema is actively engaged in cutting-edge research at the intersection of computer vision, natural language processing, and multimedia analysis with a particular focus on news media and social platforms. Research interests primarily center around multimodal analysis, with specialization in news video processing, fake news detection, claim verification, and image-text relation understanding. Cheema's work bridges the gap between technical AI approaches and real-world media analysis challenges, particularly in the context of misinformation detection and verification. The research spans multiple modalities including text, images, and video, with applications in social media analysis, news verification, and hate speech detection. Cheema's publication record shows a consistent trajectory of impactful research in multimodal AI, with a strong emphasis on practical applications for media verification. Recent work has focused on speaker role identification in news videos, multimodal claim detection, and the analysis of image-text relations in news contexts. The research demonstrates expertise in both theoretical approaches and practical system development for complex multimodal challenges. Best Paper Award at International Conference on Multimedia Retrieval (ICMR 2024) for work on speaker roles and situation types in news videos Multiple publications at premier venues including ACM conferences, IEEE workshops, and Frontiers in Artificial Intelligence Active participation in major evaluation labs like CLEF CheckThat! and MediaEval Cheema is an active member of the Visual Analytics research group at TIB, contributing to projects that address contemporary challenges in media analysis and verification. The work has significant implications for understanding and combating misinformation in digital media landscapes.

• Childhood Education
• Early Childhood Development
• Educational Psychology
• +۶ مورد دیگر

Charis Förster serves as Vice President for Research, Knowledge and Technology Transfer at Saarland University of Applied Sciences while holding a professorship for Theory, Practice and Empiricism of Childhood Education within the Social Sciences school. She is actively engaged in research, teaching, and academic leadership at the institution. Professor Förster's research focuses on childhood education with particular emphasis on daycare quality assessment, educational environments for children, intercultural education, and language development. Her work includes significant projects such as INAQUA (Care and Childhood Education), evaluation of cooperation between daycare centers and schools, and studies on multi-professionalism in school social work teams. Her publications reveal a consistent focus on early childhood educational frameworks, with numerous works on quality assessment scales for daycare centers, pedagogical approaches (particularly Fröbel), and the educational needs of older children (6-10 years). The trend in her research shows increasing attention to intercultural aspects of childcare and educational policy implementation. Professor Förster teaches in multiple programs including Bachelor's degrees in Social Work and Childhood Education, Certificate programs in Nursery Pedagogy and Language and Intercultural Education, and previously contributed to the Master's program in Evaluation (a cooperation between Saarland University and htw saar).

Fenja Kuchenbuchمشاهده پروفایل

استادیار

• Educational Technology
• Teacher Training
• Generative Artificial Intelligence
• +۲ مورد دیگر

Dr. Fenja Kuchenbuch is a Junior Professor for Digital Teaching and Learning at Leuphana University Lüneburg. She specializes in educational technology, teacher professionalization, and generative AI applications in education. Her current research focuses on the GenAI-Natives project, where she designs teaching materials and analyzes interview data on AI's impact in classrooms. Education: Ph.D. in Education, Leuphana University Lüneburg (2020-2025) Master of Education in History, English & Pedagogy, European University of Flensburg (2017-2019) Bachelor of Arts in Education, Europa-Universität Flensburg (2014-2017) Research interests center on competency-based teaching frameworks, digital learning tools, and generative AI integration in teacher training programs. Her work emphasizes qualitative studies of teaching perception and task-oriented pedagogy. Publications focus on teacher professionalization, with her 2025 monograph examining competency development in English language instruction. Conference presentations consistently address AI's transformative role in education and task-oriented teaching methodologies. Active in multiple research projects: GenAI-Natives (2025-2027): Developing AI training resources for educators ZZL Network 2.0 (2019-2023): Theory-practice integration in teacher education

Swantje Weinholdمشاهده پروفایل

استاد

• Didactics of German Language
• Spelling Instruction
• Literacy Acquisition
• +۵ مورد دیگر

Prof. Dr. Swantje Weinhold is a Professor in the Department of German Language Didactics at the School of Education, Leuphana University of Lüneburg. Her academic career has been dedicated to the didactics of German language, with a particular focus on spelling instruction, literacy acquisition, and written language development in educational contexts. Her research interests span multiple areas within language education, including spelling instruction methodologies, literacy acquisition processes, written language development, teacher education, language didactics, phonological awareness, and orthographic development. She has developed a strong research profile examining how children learn to write and spell, with particular attention to syntax-based capitalization approaches and developmental trajectories in spelling competence. Analysis of her recent publications reveals a consistent focus on the intersection of theory and practice in language education. Her work demonstrates a commitment to developing evidence-based approaches to spelling instruction that can be implemented in real classroom settings. She has particularly emphasized the importance of systematic approaches to teaching orthography from the earliest school years, challenging traditional assumptions about when certain spelling competencies can be developed. Prof. Weinhold has been actively involved in numerous research and development projects, including the 'Adaptive teacher action in primary school spelling instruction (ADLER)' project and initiatives focused on theory-practice integration in teacher training. Her work often involves collaboration between university researchers, teacher educators, and classroom teachers to develop and test innovative approaches to language instruction. She has served as editor for professional journals including 'Didactics German' (2008-2022) and 'The Primary School Magazine' (since December 2015), demonstrating her commitment to bridging research and practice. Prof. Weinhold has also organized and moderated major academic events including the 21st and 22nd Symposium on German Didactics, providing platforms for scholarly exchange in her field.

Alina Knabbeمشاهده پروفایل

استاد

• Mathematics Education
• Cognitive Science in Education
• Real-World Task Modeling
• +۳ مورد دیگر

Dr. Alina Knabbe, based at Leuphana University of Lüneburg , specializes in empirical research in mathematics education . Her work focuses on the intersection of linguistic and mathematical competencies, real-world task modeling, and sociodemographic factors affecting educational outcomes. Recent publications (2021–2025) examine: • Cognitive overlap in reading/calculating during word problem solving • Socioeconomic status impacts on PISA task performance • Reality-based task design and gender/social background influences • Case-based stress management modules for teacher trainees Key collaborations include researchers Dominik Leiss and Timo Ehmke. Funded by German Research Foundation , her VAMPS project investigates variable task requirements across mathematics, physics, and language domains. Scientific contributions: Pioneered complex-situation task analysis Developed eye-tracking methodology for cognitive process mapping Advocated for health-promoting teacher education

• Computer Science Education
• Software Engineering Education
• Active Learning Strategies
• +۴ مورد دیگر

Karen Anewalt is a Professor in the Department of Computer Science & Information Technology within the College of Arts and Sciences at Shepherd University. With over two decades of scholarly contributions since 2002, she has established herself as a prominent figure in computer science education research, particularly focused on innovative teaching methodologies and curriculum development. Her research interests span multiple critical areas in contemporary computer science education, including active learning strategies, diversity and inclusion initiatives, oral communication skill development for technical students, and bridging the gap between academic learning and industry requirements. A significant portion of her work examines how to make computer science education more accessible, engaging, and relevant to students' future careers. Analysis of her publication record reveals consistent themes across her work, with a strong emphasis on practical approaches to teaching computer science concepts. Her research shows evolution from foundational teaching methods to addressing contemporary challenges like pandemic-era education and diversity initiatives. She has particularly focused on integrating professional skills development into the computer science curriculum, recognizing the growing importance of communication and teamwork in technical fields. Throughout her career, Professor Anewalt has maintained a productive research partnership with Jennifer A. Polack, with whom she has co-authored 17 publications, indicating a strong collaborative research program. She has also worked with colleagues across multiple institutions through the Consortium for Computing Sciences in Colleges (CCSC), presenting at regional conferences across the United States.

Gordon Fraserمشاهده پروفایل

استاد

• Software Engineering
• Software Testing
• Automated Testing
• +۹ مورد دیگر

Gordon Fraser is a Professor and holds the Chair of Software Engineering II at the Faculty of Computer Science and Mathematics, University of Passau, since 2017. His academic journey includes a doctorate from Graz University of Technology and research experience at Saarland University and the University of Sheffield. Research Interests: His work centers on software analysis, software development, and programming education. Key themes include preventing software errors through automated testing, improving developer productivity using AI-based tools, and enhancing programming training—especially for beginners and children. He actively explores the role of gamification, large language models, and search-based techniques in software testing and education. Recent Research Trends: His recent publications (2023–2024) show a strong focus on flaky tests in Python, automated test generation for Android and block-based environments (Scratch), gamification of testing in IDEs, and educational studies on pair programming, gender dynamics, and feedback mechanisms in primary computing education. The integration of AI and machine learning in software testing is a recurring theme, especially in the context of large language models and neuroevolution. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He leads several research projects, including DFG-funded TYPES4STRINGS and DeepMBT , and the DeepCode project which explores AI for code quality. He mentors a large number of students and researchers, particularly in the areas of automated testing and programming education. His advising spans PhD and Master’s students, many of whom are co-authors on his publications. Labs and Teams: He leads a research group at the University of Passau focused on software testing, analysis, and education. The team develops tools like Pynguin for automated Python testing and Code Defenders for gamified software testing education. They also work on LitterBox , a linter for Scratch programs, and various gamification plugins for IDEs and educational platforms.