جست‌وجوی استاد و پژوهشگر

Thorsten Gromesمشاهده پروفایل

عضو هیئت علمی

• Post-Civil War Societies
• Humanitarian Military Interventions
• Peace and Conflict Studies
• +۷ مورد دیگر

Thorsten Gromes is a Senior Researcher and Project Leader at the Peace Research Institute Frankfurt (PRIF), within the Research Department Intrastate Conflicts. His research centers on post-civil war societies and humanitarian military interventions, with a regional focus on the Balkans, particularly Bosnia and Herzegovina, Kosovo, and Macedonia. He has held academic positions as a deputy professor at the Universities of Leipzig and Erfurt and has been affiliated with PRIF in various research capacities since 2002. Fields of Interest: His research spans democratization after civil wars, peacekeeping effectiveness, exit strategies for international missions, legitimacy of interventions, and data reliability in conflict studies. He has developed datasets on humanitarian military interventions and post-conflict power-sharing, contributing to both academic and policy debates. Recent Publication Trends: His recent articles (2023–2025) reflect a strong engagement with contemporary conflicts, especially the wars in Afghanistan, Mali, and Ukraine. He critically analyzes mission failures, public discourse on war, election platforms, and the feasibility of peace referendums. A recurring theme is the complexity of causal explanations in conflict termination and the dangers of oversimplification in policy learning. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students or doctoral advisees are listed, Gromes leads research projects and frequently collaborates with colleagues such as Matthias Dembinski and Florian Ranft. His work is supported by PRIF and appears in policy-oriented publications like PRIF Spotlights and Reports, indicating institutional funding and research leadership. He contributes to major German peace policy assessments (Friedensgutachten), suggesting involvement in nationally significant research initiatives. Labs and Teams: He is a key member of PRIF’s Research Department on Intrastate Conflicts, contributing to interdisciplinary teams focused on conflict analysis, peacebuilding, and security policy. His work integrates qualitative and quantitative methods, including QCA (Qualitative Comparative Analysis), and he is involved in creating research datasets that support comparative studies.

• Software Engineering
• Code Readability
• API Compatibility
• +۵ مورد دیگر

Rocco Oliveto is a prominent researcher in software engineering with extensive contributions across multiple domains including code quality assessment, smart contracts, Docker configuration analysis, and healthcare applications of AI. His collaborative work spans numerous institutions, with frequent co-authorship with researchers such as Simone Scalabrino, Gabriele Bavota, and Emanuela Guglielmi. Dr. Oliveto's research interests focus on practical software engineering challenges with emphasis on code readability, API compatibility, bug prediction, and smart contract maintenance. His work bridges theoretical research with practical applications, particularly evident in recent projects applying machine learning to healthcare diagnostics and video game quality analysis. His research demonstrates a consistent trajectory toward addressing real-world software engineering problems with innovative methodological approaches. Analysis of his recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of software engineering and healthcare applications. His work shows increasing focus on practical applications of AI in medical diagnostics, rehabilitation technology, and patient monitoring systems, while maintaining strong contributions to core software engineering topics like code quality and developer productivity. The diversity of publication venues—from top software engineering journals like Empirical Software Engineering and ACM TOSEM to healthcare conferences like BIOSTEC—demonstrates the breadth of his research impact. Dr. Oliveto has demonstrated significant research leadership through numerous collaborative projects, particularly evident in his participation in the QualAI project focused on continuous quality improvement of AI-based systems. His work shows consistent funding support through collaborative research initiatives that bridge academic and practical software engineering concerns.

Hendrik Härtigمشاهده پروفایل

استاد

• Influence of literacy skills on competency acquisition in physics
• Experimental skills in physics
• Influence of answer formats on test performance
• +۷ مورد دیگر

Prof. Dr. Hendrik Härtig is a faculty member at the University of Duisburg-Essen, affiliated with the Faculty of Physics and Department of Physics Education. His academic career spans roles such as Chair of Physics Education (since 2016), Junior Professorship at the Leibniz Institute for Science and Mathematics Education (2011–2016), and postdoctoral research at UDE (2010–2011). Doctorate in physics education (2010, University of Duisburg-Essen) Studied physics at University of Bonn (2001–2003) Graduate of physics, educational sciences, and social sciences (2003–2006, UDE) His research focuses on: Interplay between literacy and physics competency acquisition Experimental skills development in science education Impact of answer formats on assessment performance School-to-vocational transition in technical fields Analysis of his 15 most recent publications reveals trends in: Meta-analytical studies on text comprehension in STEM Cognitive strategies for problem-solving instruction Media integration in science classrooms Control-of-variables strategy (CVS) training Comparative studies of narrative vs. expository texts Accessibility of scientific language ("leichte Sprache") He leads the Härtig group on Physics Education and contributes to institutional governance via memberships in the Senate of the University of Duisburg-Essen and the Faculty Council of Physics. He also chairs the scientific advisory board of the Junior University Essen and the Institute for Key Scientific Competencies (IwiS).

Marc-Thorsten Hüttمشاهده پروفایل

استاد

• Computational Systems Biology
• Mathematics
• Physics
• +۵ مورد دیگر

Prof. Marc-Thorsten Hütt is a Professor of Computational Systems Biology at the School of Science, Constructor University Bremen gGmbH. His research integrates mathematical, physical, and computational approaches to understand biological systems, including gene regulatory networks, metabolic systems, and neural dynamics. He leads a research group focused on systems biology, network analysis, and interdisciplinary applications in medicine and environmental science. His work bridges theoretical frameworks with experimental data, addressing challenges in bioinformatics, epigenetics, and complex systems. Research interests include the interplay between network topology and dynamics, particularly in excitable systems and biological networks. Notable contributions involve analyzing microbial interaction networks, perturbation therapies for neurodegenerative diseases, and the impact of environmental factors on marine ecosystems. Recent studies explore interdisciplinary citation patterns and machine learning applications in network inference. His publications span computational biology, neuroscience, and network theory, with a focus on attractor analysis, node centrality, and systems-level modeling. The most recent work addresses sampling bias in networks and 5G radiation effects on cellular genetics. Despite extensive contributions, no specific awards are listed in the provided texts. Prof. Hütt collaborates with industry on steel production optimization and maintains a research group active in bioinformatics and systems medicine. His lab's work is accessible via his research website .

Jan Retelsdorfمشاهده پروفایل

استاد

• Educational Psychology
• Language Competence in Learning
• Judgment Biases in Education
• +۶ مورد دیگر

Prof. Dr. Jan Retelsdorf is a Professor of Educational Science at the University of Hamburg's Faculty of Education, specializing in the psychology of learning and teaching. He holds a PhD in Psychology from the Christian-Albrechts-Universität zu Kiel (2009) and a Diplom in Psychology from the University of Bielefeld (2006). His research focuses on language competence in learning contexts, judgment biases in educational settings, and motivation/self-regulation in educational environments. Key projects include investigating teacher expectations' impact on student outcomes, gender stereotypes in textbooks, and cyberhate dynamics among adolescents in conflict zones. Recent work includes studies on academic language demands in higher education, cross-cultural conceptions of third-party intervention in childhood, and the role of prior knowledge in vocational training. He serves as an Associate Editor for Learning and Instruction and contributes to editorial boards of several psychology journals. His research bridges cognitive, motivational, and social aspects of education, emphasizing equity and practical applications. Publications span over 100 articles, with a focus on educational psychology, gender studies in education, and assessment methodologies. He collaborates widely, addressing topics like reading motivation, science literacy, and teacher-student interactions. His work highlights the interplay between individual traits, environmental factors, and systemic influences on learning outcomes.

Michael Strubeمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Semantics and Discourse Pragmatics
• +۷ مورد دیگر

Michael Strube is an Honorary Professor at the Department of Computational Linguistics at Heidelberg University and leads the Natural Language Processing (NLP) Group at HITS (Heidelberg Institute for Theoretical Studies) in Germany. He has been with HITS (previously EML Research and European Media Laboratory) since 2003 and became an Honorary Professor at Heidelberg University in 2010. He is also a Fellow of the Association for Computational Linguistics (2019). Dr. Strube received his PhD from the Computational Linguistics Department at the University of Freiburg in December 1996 under the supervision of Udo Hahn. Between 1997 and 1999, he was a postdoctoral fellow at the Institute for Research in Cognitive Science at the University of Pennsylvania, Philadelphia. Michael Strube's research focuses on semantics and discourse pragmatics, graph-based methods for text representation and analysis, extraction of world knowledge from Wikipedia for computational linguistics, and development of methods to synchronize multilingual content. His work spans coreference resolution, discourse processing, text summarization, entity linking, and natural language generation. He has made significant contributions to coherence modeling, anaphora resolution, and the application of geometric deep learning in NLP. His recent publications demonstrate strong trends in discourse processing, coreference resolution, and the application of geometric approaches to NLP problems. Strube has pioneered work in hyperbolic space for entity typing and graph embeddings, while maintaining his foundational work in discourse and coherence. His research bridges theoretical linguistics with practical NLP applications across multiple languages. Dr. Strube has received several prestigious awards, including: Fellow of the Association for Computational Linguistics (2019) Best Paper Award for "Fine-grained entity typing in hyperbolic space" (2019) Honorable Mention for the IJCAI-JAIR best paper prize 2010 for "Knowledge Derived from Wikipedia for Computing Semantic Relatedness" Professor Strube has advised numerous PhD students who have gone on to successful careers in academia and industry. His current PhD students include Yi Fan, Wei Liu, Haixia Chai, Mehwish Fatima, and Sungho Jeon, working on topics such as discourse structure, discourse relations, coreference resolution, and cross-lingual summarization. His former students include Federico Lopez, Benjamin Heinzerling, Mohsen Mesgar, and Nafise Moosavi, who now hold positions at institutions like Argo AI, RIKEN, Bosch Center for AI, and the University of Sheffield. As group leader of the NLP Group at HITS, Strube oversees a team focused on advancing natural language processing through research in discourse analysis, coreference resolution, text generation, and knowledge extraction. The group has been involved in numerous collaborative projects and has made significant contributions to the field through publications, shared tasks, and community building via workshops and conferences.

Thomas Bauerمشاهده پروفایل

استاد

• Arabic Literature
• Islamic Cultural History
• Ambiguity in Religion
• +۲ مورد دیگر

Prof. Dr. Thomas Bauer is a leading Islamic scholar at the University of Münster, specializing in Arabic and Islamic studies. He combines philological text analysis with innovative cultural and mentalité history approaches. Education: Studied Islamic Studies and Semitic Philology in Erlangen-Nuremberg (PhD and Habilitation). Research Interests: Focus on Arabic poetry (especially Mamluk and Ottoman periods), ambiguity in Islamic culture, and intercultural understanding. Notable Publications: Includes 'A Culture of Ambiguity' (2021), 'The Simplification of the World' (2018), and 'Why There Was No Islamic Middle Ages' (2018). Academic Leadership: Founder of the Center for Religious Studies and member of the Cluster of Excellence 'Religion and Politics in Pre-Modern and Modern Cultures'. Bauer’s recent articles explore Mamluk literature, cultural competition, and rhetoric beyond Eurocentrism. His work highlights the historical openness of Islamic societies to ambiguity and diversity. Scientific Awards: WISSEN! Sachbuchpreis (2019) Tractatus-Preis (2018) Gottfried Wilhelm Leibniz Prize (2013)

Annika Endresمشاهده پروفایل

استادیار

• Special Education
• Augmentative and Alternative Communication (AAC)
• Intentional Communication
• +۴ مورد دیگر

Annika Endres is an Assistant Professor at the Institute of Special Education , affiliated with the Faculty of Participation Sciences at Pädagogische Hochschule Ludwigsburg . She holds the Interdisciplinary Early Childhood Education department and is supported by the Ministry of Science, Research and Art of Baden-Württemberg through a Margarete von Wrangell-Juniorprofessur. Current research focuses on young children (birth to 7 years) with disabilities, developmental delays, and complex needs. Key expertise in Augmentative and Alternative Communication (AAC), intentional communication, and participatory inclusion research. Research Trends : Her recent publications emphasize inclusive teaching strategies , communication support for children with complex disabilities , and family collaboration in special education contexts. Topics span pre-symbolic communication, cognitive activation, and pandemic-related adaptations. Scientific Awards Margarete von Wrangell-Juniorprofessur funded by the Ministry of Science, Research and Art of Baden-Württemberg Advising & Grants : Focus on participatory research with children with disabilities and their supporters. Her work integrates grounded theory methodology and family-centered approaches.

Joshua Oehmsمشاهده پروفایل

پژوهشگر

• Information Retrieval
• Conversational Systems
• NLP for Healthcare Applications
• +۱ مورد دیگر

Joshua Oehms is a Researcher at the Technical University of Munich (TUM) within the School of Computation, Information and Technology, specifically in the Department of Computer Science (I19 Software Engineering for Business Information Systems). He joined sebis in July 2024 and focuses on Natural Language Processing (NLP) applications in healthcare, conversational systems, and low-resource NLP tasks. B.Sc. and M.Sc. in Games Engineering from TUM Research expertise in text simplification and NLP for healthcare Teaching role as lecture organizer for "Software Engineering for Business Applications" (WS 24/25, Bachelor level) His recent work addresses challenges in German text simplification through style-specific pre-training of language models, targeting scenarios with limited parallel data. He collaborates with external partners like MRI (Medical Research Institute) on automating medical literature screening processes. Key technical skills include PyTorch/Keras, transformer models, and traditional information retrieval systems. Joshua actively supervises student thesis projects focusing on AI applications in healthcare contexts.

Kerstin Alexanderمشاهده پروفایل

استاد

• Visual Information Design
• Accessible Graphic Design
• Typography
• +۴ مورد دیگر

Kerstin Alexander is a Professor at the Merseburg University of Applied Sciences , holding the Professorship for Technical Illustration and Graphic Design within the Department of Business Administration and Information Sciences. Her work bridges academic research and artistic practice, focusing on visual information design , accessible graphic design , and typography/layout . Her research explores how visual elements like typography and imagery can enhance comprehensibility in contexts such as Easy Language and technical communication . She has published extensively on topics ranging from open-source fonts to evidence-based information design, often collaborating with colleagues like Philipp Schwanbeck and Hans Dietzel. 2017 : Awarded the Kunstpreis der Jenacon Foundation 2013-2024 : Authored/edited 12+ publications in graphic design and technical communication 2012-2024 : Conducted research on wordless instructions and culturally sensitive infographics As a visual artist with over 30 solo and group exhibitions since 1988, her work spans large-format oil paintings of landscapes, interiors, and abstract themes, often displayed at venues like the Competence Center for Information Design (KIW) .

Akhilesh Kakolu Ramaraoمشاهده پروفایل

پژوهشگر

• Computational Morphology
• Natural Language Processing
• Linguistics
• +۳ مورد دیگر

Akhilesh Kakolu Ramarao is a Natural Language Researcher and Ph.D. Student at the Department of English and American Studies, English Language and Linguistics, Heinrich Heine University Düsseldorf. His research focuses on Computational Morphology, supervised by Prof. Dr. Kevin Tang and mentored by Dr. Dinah Baer-Henney. He contributes to the HHU SLAM Lab and engages in interdisciplinary projects bridging linguistics and technology. Education : Currently pursuing a Ph.D. in English Language and Linguistics at Heinrich Heine University Düsseldorf. Research Interests : Explores computational methods for analyzing morphological patterns, transliteration systems, speech technology, and language accessibility. His work combines theoretical linguistics with practical applications in NLP, such as improving machine learning models for irregular morphological structures and developing datasets for second-language speech analysis. Publications : Recent work spans transliteration systems for Persian, modeling Spanish morphology with Transformers, and creating speech datasets for L2 English education. His contributions highlight advancements in both foundational linguistic theory and applied technology. Awards/Grants : No explicit awards listed, but his involvement in shared tasks (e.g., SIGMORPHON 2022) and collaborative projects indicates active participation in competitive academic initiatives. Labs/Teams : Part of the HHU SLAM Lab, focusing on research in language and technology. Engaged with interdisciplinary teams like KlarTextCoders for accessible language systems.

Sanjaمشاهده پروفایل

پژوهشگر

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

Sanja is a researcher affiliated with the Ramon y Cajal Fellowship program in Spain. Their work focuses on advancing Natural Language Processing (NLP) techniques, particularly in emotion detection from texts and lexical simplification across multiple languages. They have contributed to significant projects such as a tutorial at EACL 2023 and a shared task on multilingual lexical simplification. Research interests include developing AI systems with social impact, leveraging computational linguistics and machine learning to address challenges in text analysis and accessibility. Award highlights include the prestigious Ramon y Cajal Fellowship (2022), recognizing their innovative contributions to the field. Sanja’s recent work bridges theoretical advances with practical applications in emotion analysis and language simplification for broader accessibility.

Johannes Pongeمشاهده پروفایل

پژوهشگر

• Epidemiological Modeling
• Agent-Based Simulation
• Decision Support Systems
• +۳ مورد دیگر

Johannes Ponge is a Researcher at the Chair of Information Systems and Supply Chain Management at the University of Münster, affiliated with the School of Business and Economics. He holds an M.Sc. in Business Informatics from the same institution. His research focuses on epidemiological modeling, agent-based simulation (ABM), and decision support systems for epidemic prevention. He has contributed to projects such as HosNetSim, a tool integrating epidemiological models with hospital resource management, and has explored parallelization strategies for large-scale simulations. Education: Bachelor of Science in Information Systems (2011–2015) Master of Science in Information Systems (2015–2018) with a semester abroad at UNIST, South Korea Research interests emphasize computational epidemiology, healthcare system optimization, and the application of agent-based models to public health challenges. His work bridges computer science and public health through innovations in simulation tools and scalable frameworks for disease intervention analysis. He has supervised theses on topics like non-pharmaceutical intervention strategies, model validation in epidemic simulations, and parallelization techniques for agent-based systems. His projects are funded by the German Federal Ministry of Research, including efforts to develop user-oriented simulation platforms for pathogen-specific epidemic modeling.

Razieh-Sadat Mousaviمشاهده پروفایل

استادیار مهمان

• History of Science
• History of Astronomy
• Environmental Humanities
• +۵ مورد دیگر

Razieh-Sadat Mousavi is a Visiting Assistant Professor at the Max Planck Institute for the History of Science in Berlin, affiliated with the Artefacts, Action and Knowledge department (Dep III). She also serves as a 2025 guest lecturer at Humboldt Universität zu Berlin and participates in the "Heavens in your Hand" working group. PhD in History of Science (2023) from Humboldt Universität Formerly a visiting fellow in the "Experience in the Premodern Sciences of Soul & Body" research group (2023-2024) Her research bridges pre-modern Islamic astral sciences with environmental history , focusing on how mathematical and astronomical knowledge influenced societal practices. Current work includes a book on al-Farghānī’s Elements of Astronomy , integrating its scientific and literary dimensions. Recent publications analyze topics like the evolution of qibla-indicators , astro-meteorology in Islamic societies, and interdisciplinary connections between astronomy, water management, and sustainability. She also contributes to digital humanities and manuscript culture studies. Dr. Mousavi actively engages in academic events, including organizing reading groups on early Islamic science and presenting at international conferences such as the 26th International Congress of History of Science and Technology (2021) and the XXXIX Scientific Instrument Symposium (2020).

• Natural Language Processing
• Biomedical Informatics
• Medical Text Simplification
• +۴ مورد دیگر

Byron C. Wallace is a prominent researcher in Natural Language Processing with a focus on biomedical and clinical applications . His work spans model distillation, factuality evaluation, and medical text simplification. Key contributions include developing methods for tracing teacher models in distillation and creating benchmarks like FactPICO and RedHOT. Research interests include LLM interpretability , medical evidence synthesis , and cross-modal alignment in clinical NLP His recent publications analyze syntactic template repetition in LLMs, token erasure effects , and definition-augmented biomedical NER Wallace's work has advanced zero-shot summarization techniques, pharmacovigilance automation , and patient data privacy analysis in clinical models. Current projects explore chain-of-thought distillation , multilingual medical simplification , and interpretable feature extraction from EHR data. Key collaborators include researchers from institutions like Allen Institute for AI, MIT, and various biomedical NLP teams. His methodological innovations in instance attribution , data augmentation , and counterfactual reasoning have influenced modern NLP research paradigms.