Prof. Dr. Mingya Liu is a W1-Professor for Empirical English Linguistics (EEL) at the Department of English and American Studies, Humboldt-Universität zu Berlin. Her research focuses on the intersection of lexicon, syntax, semantics, and pragmatics, with applications to language processing, acquisition, and sociolinguistic variation. Key projects include investigations into polarity sensitivity, modality, negation, and register effects in language use. Her work employs experimental, cross-linguistic, and socio- and psycholinguistic methods. Notable contributions include studies on modal concord (e.g., 'must certainly'), negative concord variation, and the social meanings of linguistic constructions in English, German, and Chinese. She is a core member of the CRC 1412 'Register: Language Users’ Knowledge of Situational-Functional Variation,' contributing to interdisciplinary research on language variation and cognitive modeling. Publications emphasize experimental findings on linguistic and social meaning correlations, register sensitivity in language use, and the role of interlocutor relations in formality perception. Collaborative efforts with institutions like HU Berlin and international scholars further highlight her commitment to advancing theoretical and experimental linguistics.
Jatinder Singh is a Professor at the RC Trust and Principal Research Associate (equivalent to Research Professor) at the Department of Computer Science & Technology, University of Cambridge. He is primarily affiliated with the University of Duisburg-Essen, Germany, where he leads the Compliant and Accountable Systems research group within the Law department. His work operates at the critical intersection of computer science, legal frameworks, and societal impact, focusing on practical implementations that align technology with regulatory requirements while addressing user and community concerns. Research interests center on accountability mechanisms for AI systems, responsible development practices, data governance, and privacy/security in emerging technologies. He examines governance, agency, trustworthiness, and transparency gaps in algorithmic systems through interdisciplinary socio-technical lenses. Current work addresses bias in LLMs, stakeholder participation frameworks, and human rights implications in domains like healthcare, maritime enforcement, and consumer IoT, emphasizing contextual awareness and real-world applicability. His 15 most recent publications (2025-2024) reveal dominant trends in AI transparency, fairness proxy development, and legal-compliance engineering. Key focus areas include stakeholder involvement in AI governance, bias mitigation in language models, data justice applications for vulnerable populations, and operationalizing human-centered AI in clinical settings. The work consistently bridges technical implementation with regulatory frameworks like the EU Cyber Resilience Act and GDPR. Scientific Awards: No awards or fellowships were mentioned in the provided text. Advising and Grants: The text does not specify PhD/Master's students or grant details. As leader of an active research group publishing high-impact work on EU regulations and human rights, he likely directs funded projects and mentors early-career researchers, though concrete evidence is absent in the source material. His position suggests involvement in interdisciplinary grant consortia addressing socio-technical challenges. Labs and Teams: Singh leads the Compliant and Accountable Systems research group at University of Duisburg-Essen, which collaborates across university-wide clusters including Artificial Intelligence and Society, Human-AI Interaction, Trustworthy Human Language Technologies, and Verification of Machine Learning. The group develops frameworks for legal compliance in AI, focusing on demonstrable accountability through tools for transparency, bias auditing, and stakeholder engagement in real-world deployments.
Miriam Tekath is a Research Associate at the Center for Conflict Research (Zentrum für Konfliktforschung) at Philipps University of Marburg, working in Prof. Dr. Thorsten Bonacker's team. She currently serves as Research Coordinator at EUPeace (the European University for Peace, Justice, and Inclusive Societies) since May 2024 and previously held positions as Research Fellow at RWTH Aachen University (2023-2024) and as a political advisor in peace and conflict research since 2022. Academic Background: Certificate in Professional University Teaching (2023) Mediator certification with focus on non-violent communication (2018) MA in Peace and Conflict Studies, Philipps University Marburg (2016-2018) MA in Political Science: Democratic Governance and Civil Society, University of Osnabrück (2015-2019, with distinction) Bachelor in Political Science (Major) and French (Minor), University of Bremen (2011-2015, with distinction) Tekath's research sits at the intersection of political science and micro-sociology, examining social conflicts in societies polarized by secessionist movements. Her doctoral project investigates the meaning-making significance of politicized differences in everyday conflict interactions, using Quebec (Canada) and Casamance (Senegal) as empirical frameworks. She analyzes universities as micro-contexts of societal polarization, exploring how academic community members navigate the tension between politicization and cooperation. Her methodological expertise includes qualitative content analysis, group discussions, and situational analysis, with regional focus on Canada, Senegal, Francophone countries, and Southeast Europe. Analyzing her publication record reveals a consistent trajectory examining how social actors navigate politicized differences in polarized contexts. Her work demonstrates growing methodological sophistication in understanding the simultaneity of conflict and cooperation in academic settings within divided societies. A distinctive feature of her scholarship is the application of relational perspectives to everyday conflict interactions, particularly in educational institutions serving as microcosms of broader societal divisions. Scientific Recognition: DAAD International Conference Scholarship (2024) RWTH Aachen Early Career Support (2023) Marburg Research Academy Travel Grant (2023) DAAD Conference Funding (2022) DAAD Short-term Doctoral Scholarship (2020/21) International Council for Canadian Studies Scholarship (2020) Association for Canadian Studies Research Award (2018) Tekath has developed an extensive teaching portfolio in peace and conflict studies, including courses on institutional conflict regulation, relational dimensions of peace studies, and mediation in multicultural contexts. She pioneered innovative teaching methods like combining 'Elevator Pitch' with 'Speed-Dating' techniques to address complexity-reduction challenges in conflict education. As spokesperson for the 'Curriculum and Didactics' working group of the German Association for Peace and Conflict Studies since 2020, she has significantly influenced pedagogical approaches in the field. Her current leadership role at EUPeace represents the culmination of her trajectory from student research assistant (2014-2018) to Research Coordinator, demonstrating her growing influence in European peace education initiatives. Her ongoing doctoral work examining everyday conflict interactions in polarized societies positions her at the forefront of contemporary conflict research methodology.
Dr. Anike Krämer is a Lecturer and Researcher at the Chair of Sociology of Gender Relations , Faculty of Social Sciences, TU Dortmund University. She is also a Visiting Researcher at the Institute of Sociology, Innsbruck University, and a member of the Advisory Board Mittelbau of the Network Women's and Gender Studies NRW. Doctorate in Sociology (summa cum laude), Ruhr University Bochum (2020) Master of Arts in Social Science, Ruhr University Bochum (2014) Bachelor of Arts in Social Science/Comparative Studies, Ruhr University Bochum (2011) Her research focuses on the construction of gender in family contexts , examining how power relations and medicalization affect individuals, particularly parents of intersex children. She explores themes like intersex experiences , gender binarism , parental strategies , and medical habitus , situated within sociological theory and critical gender studies. Her publications emphasize intersex , parental coping , and medicalization processes , with recent works addressing gender norms and knowledge production . She has contributed to policy projects like inter-nrw.de and engaged in public discourse through CNN , Deutschlandfunk Nova , and Frankfurter Rundschau . 2025 - Mobility grant, Research Academy Ruhr for Stockholm University 2023 - Prize of the Network Qualitative Family Research 2021 - Second Prize, German Study Award (Social Sciences) 2021 - Wilhelm-Hollenberg Prize, Ruhr University Bochum 2018 - Travel grant PR.INT, Ruhr University Bochum 2013-2014 - German scholarship, Köhler Foundation
Nicola Meschede is a Professor of Natural Science Elementary and Primary Education at the Institute of General Studies Didactics, Faculty of Educational Sciences, University of Münster, a position she has held since January 2018. Previously, she served as a substitute professor for General Studies Didactics at the same institution from October 2017 to January 2018. Her academic journey includes significant research positions at Goethe-Universität Frankfurt and the Leibniz Institute for Science and Mathematics Education at Kiel University. Her educational background comprises a Doctorate in Natural Sciences (Dr. rer. nat.) from the University of Münster and the Leibniz Institute for Science and Mathematics Education (2009-2013), a Second State Examination for Primary School Teaching from Siegburg Teacher Training College (2013-2015), and a First State Examination for Primary, Secondary, and Comprehensive School Teaching with a focus on primary education from Siegen University and the University of Münster (2004). Professor Meschede's research centers on professional vision development in teachers, particularly how educators perceive and interpret learning-relevant classroom situations in science education. Her work examines the cognitive processes involved in recognizing significant teaching moments, with special attention to classroom management, learning support, and addressing student heterogeneity. She investigates how video-based learning environments can enhance teachers' professional perception skills during both initial and continuing teacher education. Analysis of her recent publications reveals a strong thematic focus on video-based teacher training methodologies, with particular emphasis on developing digital learning modules that foster multi-perspective professional vision. Her work consistently addresses how teachers process classroom situations, with increasing attention to language-sensitive approaches in science education and the relationship between teacher beliefs and professional vision development. The interdisciplinary nature of her research bridges educational psychology, science education, and teacher training methodologies. Professor Meschede leads several significant research projects including ViU:P (Video-based Instructional Analysis, Focus on Performance), which examines the causal chain of professional knowledge, teaching quality, and student achievement. She also directs the ProdiviS project developing digital, video-based self-learning modules for professional classroom perception training, the ComeMINT project focusing on professionalizing primary teachers in digital media use, and the ViFoNet project creating video-based training modules for digitally supported teaching. Her research methodology emphasizes video-based analysis of classroom situations, examining how teachers recognize and interpret learning-relevant events. She has developed specialized video portals like ViU: Early Science and ProVision that serve as both research tools and teacher training resources. Her work demonstrates how structured video analysis, particularly with modeling and prompting techniques, can enhance pre-service and in-service teachers' professional vision capabilities.
Klaus Melchers is a Professor of Work and Organizational Psychology at Ulm University, where he has held a W3 professorship since October 2012. Previously, he served as an Assistant and Senior Assistant at the Department of Psychology, University of Zurich, from 2003 to 2012. He completed his psychology studies at Philipps-University of Marburg and University College, followed by a dissertation in 2003 on stimulus processing in human learning. His research focuses on key areas in personnel selection, including applicant reactions, personality assessment in work contexts, impression management, and the effectiveness of training. He investigates how candidates respond to various selection procedures, particularly focusing on fairness, transparency, and the impact of digital tools such as video interviews and gamified assessments. The recent publication trends reveal a strong emphasis on technology-mediated interviews, applicant faking, fairness in hiring, and the validity of assessment methods. His work increasingly explores digital transformations in recruitment, including asynchronous video interviews, game-based assessments, and algorithmic bias. Themes such as psychological reattachment to work, mobile device use, and sleep also reflect a growing interest in daily work experiences and well-being. Klaus Melchers frequently collaborates with researchers such as Janine Basch, Benjamin Bill, Nina Merkl, and Martin Kleinmann. His publications appear in top journals like Personnel Psychology , Journal of Business and Psychology , and International Journal of Selection and Assessment . While there is no explicit mention of advising students or receiving awards, his extensive publication record and book chapters suggest active mentorship and leadership in the field. He leads the Department of Work and Organizational Psychology at Ulm University, contributing to both academic research and practical applications in HR diagnostics. His work bridges theory and practice, often addressing real-world challenges in personnel selection and organizational psychology.
Dr. Helena van Vorst is a faculty member in the Department of Chemistry Didactics at the University of Duisburg-Essen, within the Faculty of Chemistry. She completed her habilitation in January 2024, solidifying her role as an independent academic leader. She previously served as Acting Professor at the University of Cologne and currently holds the civil service position of Academic Councillor, equivalent to Associate Professor. She is also Managing Director of the Society for Chemistry and Physics Education (GDCP) since 2022 and an elected board member of the Interdisciplinary Center for Educational Research. Doctorate (Dr. rer. nat.) in Natural Sciences, summa cum laude, University of Duisburg-Essen (2012) First State Examination in Chemistry and German for Secondary Education, University of Duisburg-Essen (2009) Habilitation in Chemistry Didactics, University of Duisburg-Essen (2024) Her research centers on improving science education through evidence-based methods. Key interests include context-oriented teaching, where real-world scenarios increase student engagement; structuring learning via 'Lernleitern' (learning ladders) to scaffold understanding; and promoting inclusion in chemistry classrooms. She emphasizes empirical evaluation of teaching innovations and the development of differentiated materials that cater to diverse student needs and interests. The recent publications reflect a strong focus on the effectiveness of structured, context-rich teaching tools. A recurring theme is the use of 'learning ladders' to organize instruction and support differentiation. Studies analyze how context characteristics influence student interest and performance, particularly across gender and cognitive dimensions. Other works explore challenges in scientific language, mathematical modeling in physical chemistry, and inquiry-based learning in inclusive settings. The body of work demonstrates a consistent commitment to bridging theory and practice in chemistry education. Fellow of the Fellowship Program MINT Didactics, Deutsche Telekom Foundation (2018–2023) University Prize for Outstanding Academic Achievements, University of Duisburg-Essen (2013) Waxmann Poster Prize, AEPF Conference (2011) First Prize in Chemistry Program, First State Examination (2010) Doctoral Scholarship, German Research Foundation (DFG) (2010–2012) Dr. van Vorst advises multiple doctoral students across funded projects, including those supported by the Mercator Foundation, Chemical Industry Fund, and RAG Foundation. Her leadership in the Graduate School on Cross-Sectional Issues in Teacher Education (GKqL) and subprojects under Teaching-Learning-Innovations at UDE highlights her active role in shaping teacher training. She develops and disseminates teaching materials, such as digital learning ladders and context-based units on acids and bases, contributing directly to classroom practice. She leads and contributes to research teams focused on inclusive science education, teacher development, and curriculum innovation. Her work with the Interdisciplinary Center for Educational Research and the Society for Chemistry and Physics Education underscores her collaborative and organizational leadership in the academic community.
Prof. Dr. Uli Sauerland is Deputy Director at the Leibniz Centre for General Linguistics (ZAS) in Berlin and Adjunct Professor at the University of Potsdam since 2018. He leads Research Area 4 'Semantics & Pragmatics' and oversees key projects including the ERC-funded Realizing Leibniz’s Dream , DFG-ANR Boolean Connectors , and CRC 1412 projects A05 and B06 . PhD in Linguistics (MIT, 1998) Habilitation (Tübingen, 2003) Rehabilitation (Potsdam, 2007) His research focuses on semantic-pragmatic interfaces , register variation , language acquisition , and cognitive modeling of linguistic phenomena . Recent work includes LMBayes (Bayesian language modeling), DUAL (semantic-pragmatic interactions), and studies on quantifier scope in children. Publications span formal grammar , cognitive development , and language processing . Notable scientific awards : CNRS Fellowship (2024) Academia Europea Membership (2019) ESF Community of Experts (2018) He contributes to editorial boards of First Language , Journal of Semantics , and Language Acquisition , and co-founded the CRC 1412 Register research program.
Katrin Angerbauer is a Researcher at the Institute for Visualization and Interactive Systems (VISUS) at the University of Stuttgart, Faculty of Computer Science. Her work bridges Human-Computer Interaction (HCI) , Accessibility in Visualization , and Immersive Technologies . She contributes to empirical studies on Virtual Reality (VR) , Augmented Reality (AR) , and 2D/3D visualization techniques , focusing on user experience, attention guidance, and inclusive design.
Professor Alun D. Preece is a distinguished academic at Cardiff University's Crime and Security Research Institute, UK, with significant contributions to artificial intelligence, particularly in explainable AI (XAI), social media analysis, and neuro-symbolic approaches. His research spans over three decades with continuous publication output through 2024, demonstrating sustained scholarly impact in the AI community. His research interests focus on creating transparent and interpretable AI systems that can effectively collaborate with humans in complex environments. Key areas include explainable AI methodologies, social media analysis for misinformation detection, neuro-symbolic integration for robust reasoning, and collaborative perception-cognition-communication-action frameworks. His work bridges theoretical AI foundations with practical applications in security, public safety, and coalition operations. Recent publications (2022-2024) reveal a strong focus on cutting-edge AI challenges, with particular emphasis on neuro-symbolic approaches, vector symbolic architectures, and human-AI teaming. His work consistently addresses the critical challenge of creating AI systems that are not only effective but also transparent, trustworthy, and capable of meaningful collaboration with human users. Professor Preece has established extensive collaborations across the AI research community, with notable co-authors including Dave Braines, Federico Cerutti, Ian J. Taylor, and Mani Srivastava. His research has been published in top venues including FUSION, IEEE Transactions, and AAAI workshops. His work on verifiable credentials for AI model transparency, collaborative perception frameworks, and misinformation analysis demonstrates practical applications of his theoretical contributions to real-world security and information challenges. The trajectory of his recent publications indicates continued leadership in addressing the critical challenges of trustworthy and explainable AI systems.
Prof. Dr. Sandra Ballweg is a Professor at Paderborn University in the Department of German as a Second Language, German as a Foreign Language and Multilingualism under the Faculty of Arts and Humanities. She leads the Zentrum für Sprachlehre (Language Teaching Center) and holds affiliations with institutions like the University of Limerick since 2015. Her work bridges language education, multilingualism, and sociolinguistic research.
Bastian Bunzeck serves as a Research Associate in the Computational Linguistics Group under Prof. Sina Zarrieß at Bielefeld University's Faculty of Linguistics and Literary Studies. His work is anchored within the interdisciplinary research ecosystem of the university, particularly contributing to projects exploring linguistic innovation and technical implementation. His research focuses on computational approaches to language processing , with specific emphasis on phonetic representation systems and linguistic creativity in communication. Key areas include: Natural language modeling for dynamic communicative contexts Algorithmic generation of phonetic structures Text technology applications in clinical linguistics Computational analysis of linguistic productivity Bunzeck is actively involved in Collaborative Research Center 1646 (SFB 1646) project A02, which investigates the New creation of phonetic representations in different communicative situations . This work intersects with Bielefeld University's strategic research focus on the Socio-Technical World, examining human-AI interaction frameworks and computational models of linguistic behavior.
Dr. Martin Semmann serves as the Managing Director of the Hub of Computing and Data Science (HCDS) at the University of Hamburg since 2023. Previously, he worked as a Postdoctoral Researcher & Managing Director at ahoi.digital (2018-2023) and as a Scientific Staff Member in the IT Management and Consulting (ITMC) department at the University of Hamburg (2011-2018). His academic background includes an M.Sc. and B.Sc. in Business Informatics from Georg-August-Universität Göttingen. Dr. Semmann's research spans multiple interdisciplinary domains with a strong focus on Artificial Intelligence applications for social good , including democratic discourse monitoring, hate speech detection, and equitable access to medical knowledge. His work bridges Natural Language Processing with political science, ethics, and low-resource language processing, particularly focusing on Amharic language applications. He has made significant contributions to Digital Transformation research, especially in sustainable mobility and public transportation systems. His publication portfolio demonstrates expertise across multiple domains including Retrieval-Augmented Generation systems, multilingual polarization analysis, interdisciplinary collaboration frameworks, and decolonial AI approaches. These works show a consistent pattern of addressing societal challenges through technological innovation while emphasizing ethical considerations and cultural relevance. Dr. Semmann actively supervises numerous final theses across diverse topics including Digital Transformation, Benefit Management, and Service Systems. His current research projects include WizARd (knowledge networking through augmented reality) and Rescue-Mate (dynamic situation creation for emergency responders). Previously, he contributed to projects such as IGT (Information Governance Technologies), ExTEND, PROMIDIS, and ProduSE. As an active member of the academic community, Dr. Semmann serves on editorial boards and as a reviewer for prominent journals including Business & Information Systems Engineering, Communications of the AIS, and the European Conference on Information Systems. He is also a founding member of the Artificial Intelligence Center e.V. since 2019.
Prof. Dr. Martin E. Müller is a Professor in the Department of Computer Science at Bonn-Rhein-Sieg University of Applied Sciences, specializing in the mathematical and theoretical foundations of informatics. His research bridges abstract algebraic structures with practical computational applications, particularly in knowledge representation and reasoning systems. Dr. Müller's primary research interests include Algebraic Logic , Modal Logic , Relational Algebra , Universal Algebra , and Logic Knowledge Discovery (also known as explainable machine learning). His work demonstrates how theoretical mathematical frameworks can provide robust foundations for practical computational problems, particularly in the areas of rough set theory, formal concept analysis, and inductive logic programming. He approaches machine learning through logical structures, emphasizing transparency and explainability in AI systems. Analysis of his publication record shows a consistent scholarly trajectory from 1994 through 2023, with increasing emphasis on applying formal logical methods to contemporary machine learning challenges. His work spans theoretical foundations of computing, relational methods in program semantics, and practical applications in user modeling and knowledge discovery. Recent publications demonstrate growing interest in making machine learning more interpretable through logical frameworks. Among his professional recognitions is the Seahorse award from 1975 . Dr. Müller serves as a reviewer for numerous academic journals and conferences and is an active member of several professional associations in computer science and logic. Dr. Müller has led significant research projects including PARIA (2004-2008), which developed the PACME architecture for concurrent processes; Rela-X (2010-2019), which implemented libraries for efficient relation calculus with the R-Lang programming language; and the ongoing COMPARE project (2024-) focusing on pairwise multidimensional comparisons for survey analysis. His current work with the 'Sets, Structures, Semantics' project (2018-) aims to create a comprehensive resource on discrete mathematics and logics. His research group maintains strong international collaborations, particularly with researchers in the relational and algebraic methods community, including notable figures like Tony Hoare, Peter Höfner, Peter Jipsen, and Bernhard Möller. The Rela-X project established a productive student working group environment that produced both theoretical insights and practical software tools for relational calculus visualization.
Dr. Emilia Ellsiepen is a Postdoctoral Researcher and lab manager in Prof. Vera Demberg's group at Saarland University, working in the field of Computer Science and Computational Linguistics. She is associated with the SFB-1102 "Information Density and Linguistic Encoding" and the CRC248 "Center for Perspicuous Computing". Her research interests focus on: Computational Linguistics and language processing Eye-tracking correlates of unknown words Integration of language and visual attention Enhancing communication between cyber-physical systems and human controllers Methodological questions and statistics in linguistic research Dr. Ellsiepen regularly assists with lectures on Statistics with R and Statistics Lab, demonstrating her expertise in statistical methods applied to linguistic research. Her previous work has included experimental research in situated language processing and gradience in grammar. She is actively contributing to two major research collaborations: the SFB-1102 investigating information density in linguistic encoding, and the CRC248 Center for Perspicuous Computing focusing on human-system interaction.
