جست‌وجوی استاد و پژوهشگر

• Cognitive Psychology
• Attention Research
• Electrophysiology
• +۵ مورد دیگر

Dr. Verena Seibold is a Researcher in the Department of Psychology at the University of Tübingen, Germany, specializing in Evolutionary Cognition within the Faculty of Mathematics and Natural Sciences. She serves as the Coordinator for the B.Sc./M.Sc. Cognitive Science programs and the Center for Cognitive Science (50%) and as Coordinator for Studies and Teaching (24%) in the Department of Computer Science. Dr. Seibold earned her doctorate (Dr. rer. nat) from the University of Tübingen in February 2015, following her psychology studies (diploma) from 2004 to 2009. Her academic journey also includes studies in art education at the State Academy of Fine Arts Stuttgart (2002-2004) and preparatory studies in Fine Arts at Schwäbisch Hall Academy of Arts (2001-2002). Her primary research focuses on temporal attention and preparation , investigating how warning signals in our environment help us prepare for future events. She examines whether these signals selectively enhance perception and action preparation. Another key area is the mechanisms of attention activation (alerting) , exploring why attention-activating signals magnify conflict effects in cognitive tasks and how they influence visuospatial attention allocation. Using event-related potentials (ERP) , she studies how temporal attention effects manifest in brain activity, and she also researches language processing , particularly how we handle linguistic information without discourse context. Dr. Seibold's recent publications (2022-2024) reveal a strong focus on temporal attention mechanisms, discourse comprehension, and the cortical dynamics of language processing. Her work increasingly integrates electrophysiological methods with cognitive paradigms to understand the neural underpinnings of attention and language. She frequently collaborates with researchers like Bettina Rolke, Susanne Dietrich, and Janina Balke. Her scientific achievements include: 2017 Research grant 'Mechanisms of temporal preparation in the context of stimulus selection' (Duration: 2018-2023) from the German Research Foundation (DFG) 2015 Doctoral Prize of the Faculty of Mathematics and Natural Sciences from the University of Tübingen Dr. Seibold actively contributes to academic service as an elected member of the Faculty Council of the Faculty of Mathematics and Natural Sciences since October 2022, and previously served on the Senate Commission 'Studies and Teaching' (2020-2022) and the Cognitive Science Study Commission (2015-2019). She has been teaching Cognitive Science courses since Winter semester 2010/2011, including seminars on Psychophysiology, Data Analysis in R, and Experimental Cognitive Science. Her research is conducted within the Evolutionary Cognition Research Group under Prof. Dr. Bettina Rolke in the Department of Psychology.

Annika Tjukaمشاهده پروفایل

پژوهشگر

• Linguistic diversity
• Word meanings across languages
• Cross-linguistic patterns
• +۶ مورد دیگر

Dr. Annika Tjuka is a Postdoctoral Researcher at the Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology in Leipzig. She received her Ph.D. in Linguistics with highest honors (summa cum laude) from Friedrich Schiller University Jena in March 2024. Her research integrates findings from linguistics and psychology using computational approaches to explore linguistic diversity, particularly variations in word meanings across languages. Dr. Tjuka's educational background includes: Ph.D. in Linguistics (2024) - Friedrich-Schiller-Universität Jena and International Max Planck Research School for the Science of Human History (IMPRS-SHH) Master of Arts in Linguistics (2019) - Humboldt-Universität zu Berlin Bachelor of Arts in German Linguistics and Scandinavian Studies (2016) - Humboldt-Universität zu Berlin Her primary research focuses on linguistic diversity and the semantic patterns of word meanings across languages. Dr. Tjuka has developed a cross-linguistic database containing rich information on word properties across 39 languages (https://norare.clld.org). She has conducted significant research on the semantic domain of the human body, investigating the intricate interplay between language, culture, and cognition. Her work on body-object colexifications has been published in Linguistic Typology, and her research on body part vocabularies has been published in Scientific Reports. Dr. Tjuka's research shows a strong emphasis on cross-linguistic patterns, particularly in semantic domains related to body parts and object naming. Her work combines computational approaches with cognitive and psychological insights to uncover universal and culture-specific factors that shape linguistic structures. She has made significant contributions to lexical database development, particularly through her work on Concepticon and NoRaRe. Her notable scientific achievement is the receipt of the Otto Hahn Medal, a prestigious award from the Max Planck Society recognizing outstanding scientific achievements during doctoral studies. Dr. Tjuka is actively involved in science communication, having presented her research at events like Soapbox Science Berlin. She values conducting culturally informed and theoretically motivated research that embraces diversity, publishing open-access work to increase accessibility, and building an ecosystem for interdisciplinary researchers while mentoring the next generation of cognitive scientists.

Nataliia Hüblerمشاهده پروفایل

پژوهشگر

• Linguistics
• Language Evolution
• Phylogenetic Methods
• +۳ مورد دیگر

Nataliia Hübler is a researcher at the Max Planck Institute for Evolutionary Anthropology in the Department of Linguistic and Cultural Evolution. Her work focuses on the distribution of language structures and their implications for language prehistory, particularly in Northern Eurasia. She employs phylogenetic methods and population genetics-inspired models to disentangle vertical and horizontal transmission of linguistic features. Education: B.A. in German Studies (Kyiv National Linguistic University), M.A. in Language and Variation (University of Kiel), Ph.D. in Evolutionary Dynamics of Structural Features (Friedrich-Schiller-Universität Jena). Key research areas include Transeurasian languages, typology, phylogenetics, and computational methods in linguistics. Her research interests revolve around applying evolutionary methods to linguistic data, including phylogenetic signal analysis, admixture modeling, and database development (e.g., Grambank and Colexification Database). Recent work emphasizes genealogical constraints on linguistic diversity and the impact of language loss. Publications highlight interdisciplinary approaches combining linguistics with computational biology methods. She has contributed to major projects like Grambank and the Eurasia3angle initiative, coding structural features across multiple language families. Hübler’s work bridges historical linguistics with evolutionary models, offering novel insights into language evolution through quantitative methods and large-scale data analysis.

• Quantitative Linguistics
• Language Acquisition
• Morphology
• +۷ مورد دیگر

Melanie J. Bell is a Professor of Quantitative Linguistics at Anglia Ruskin University (ARU), affiliated with the Faculty of Arts, Humanities, Education and Social Sciences, and the School of Humanities and Social Sciences in Cambridge. Her research focuses on the relationship between phonetic detail and word meaning, particularly in compound nouns, and explores how variability in pronunciation and interpretation reflect linguistic and cognitive processes. Dr. Bell holds a PhD in English and Applied Linguistics from the University of Cambridge, alongside an MPhil and BA in Natural Sciences from the same institution. She has received significant funding, including a Mercator Fellowship (2015–2018) and an EU Horizon 2020 Marie Curie Fellowship (2017–2018). Her research interests include the mental lexicon, prosody, semantic transparency, and second language acquisition. She has co-authored influential studies on compound interpretation, computational modeling of bilingual lexicons, and the role of predictability in language processing. Grants : Mercator Fellowship (German Science Foundation) EU Horizon 2020 Marie Curie Fellowship British Academy Skills Acquisition Award (2013) Teaching : Introduction to Linguistics, Phonetics/Phonology, and Research Methods in Applied Linguistics. Collaborations : Projects with the University of Tübingen, University of Düsseldorf, and University of Jena. Dr. Bell is a Senior Fellow of the UK Higher Education Academy and a member of the UK Cognitive Linguistics Association and ESRC peer review college.

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

Dr. Don Tuggener is a Researcher at the ZHAW Zurich University of Applied Sciences' School of Engineering, affiliated with the Centre for Artificial Intelligence. His work focuses on Natural Language Processing (NLP), Computational Linguistics, and Machine Learning applications in professional training and AI evaluation. He leads or collaborates on projects such as Meaning@Work (stress management for healthcare professionals), Virtual Kids (child interrogation training), and Favi-Score (bias detection in AI evaluation). His research emphasizes dialogue systems, generative AI ethics, and legal text analysis. Key projects include developing frameworks for conversational AI evaluation (Spot The Bot), large-scale legal text classification (LEDGAR corpus), and innovative training tools using LLMs. He has contributed to over 30 peer-reviewed publications since 2011, spanning topics like compound splitting in German, coreference resolution, and generative AI applications in professional contexts. As an editor for SwissText conferences and reviewer for ACL/EMNLP, he actively participates in the NLP academic community. Project Leadership: Virtual Kids, Interscriber Deputy Leadership: AutoNews, PRISM, SCAI Core Research Themes: AI ethics, dialogue systems, legal NLP Recent work highlights AI's role in professional education (e.g., investigative interviews with children) and societal challenges (hate speech mitigation via social influencers).

• Digital Transformation
• Virtual Reality in Education
• Business Process Management
• +۳ مورد دیگر

Elke Brucker-Kley is a Professor at ZHAW School of Management and Law, leading the Centre of Information Systems - People & Technology. Her research focuses on digital transformation, virtual reality in education, and ethical technology design. She has co-led projects like 'Immersive Science Fiction Prototyping for Responsible Innovation' and 'Smart Hospital Framework'. Active in academic publishing since 2012, her work spans technology ethics, vocational training, and business process innovation. She holds an ORCID ID (0000-0001-7888-3446) and has advised multiple collaborative industry-academia initiatives. Her research highlights include analyzing VR applications in electrician apprenticeships and German language education, as well as exploring adolescent privacy on TikTok. She has authored/co-authored over 30 peer-reviewed articles and books, including Kundennutzen durch digitale Transformation (2018). Projects under her leadership address challenges like 'Proof-of-Work in VR' and 'AI-based predictive policing scenarios'. Key Research Areas: Digital Ethics, VR Pedagogy, BPM Innovation Notable Contributions: Pioneered immersive narrative scenarios for technology critique Grants & Funding: Multiple industry partnerships (e.g., Swiss Re, Roche) Her work bridges technology adoption, human-centered design, and societal impact, with a focus on responsible innovation paradigms.

Federico Nanniمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Information Retrieval
• Digital Humanities
• +۳ مورد دیگر

Dr. Federico Nanni is a Researcher at the University of Mannheim's Data and Web Science Group. His work focuses on applying Natural Language Processing (NLP) and Information Retrieval (IR) techniques to Digital Humanities and Computational Social Science, particularly in analyzing political communication, historical texts, and interdisciplinary research. His research spans topics such as event modeling in historical documents, election intervention analysis, and computational methods for evaluating interdisciplinarity in academic contexts. His research interests include political text scaling, computational semantics, and the application of NLP to historical studies. He has contributed to projects such as event-based access to war memoirs and methodologies for reconstructing digital archives. His work bridges computational methods with social and historical inquiry, emphasizing interdisciplinary approaches. Dr. Nanni has published extensively on topics ranging from political communication during the German refugee crisis to computational analysis of university histories. His articles reflect a consistent focus on leveraging computational tools to address complex societal and historical questions. Despite no listed awards, his contributions to digital humanities and computational social science are well-recognized within his field. He is affiliated with the Data and Web Science Group at the University of Mannheim, where he collaborates on projects that integrate NLP and IR with humanities and social science research. No information is explicitly provided regarding student advising or grants, though his research collaborations imply active engagement in academic networks.

Stefan Schauberمشاهده پروفایل

دانشیار

• Health Professions Education
• Educational Measurement
• Psychometrics
• +۴ مورد دیگر

Stefan Schauber is an Associate Professor at the University of Oslo's Faculty of Medicine, where he is affiliated with the Unit for Health Sciences Education (HELP) and the Centre for Educational Measurement (CEMO). He maintains a long-standing collaboration with the Diagnostic Quality Lab at Inselspital in Bern, Switzerland. His work focuses on assessment in health professions education, applied educational measurement, and diagnostic error research. Dr. Schauber's primary academic interests center on measuring complex skills within health professions, particularly clinical knowledge, thinking, reasoning, communication, and practical skills. His research contributes to improving exams in health studies and enhancing understanding of diagnostic errors. He has extensive experience in psychometrics and quality assurance of exams, creating test statistical reports that help examination boards evaluate whether assessment items function as expected. His methodological expertise spans classical test theory, item response theory, and longitudinal modeling approaches applied to educational measurement. His recent publication record demonstrates a strong focus on diagnostic decision support systems, team performance assessment in healthcare, psychometric analysis of medical examinations, and the impact of educational approaches on learning outcomes. His work spans multiple international collaborations, particularly with Swiss and German institutions, reflecting the global relevance of his research in medical education and assessment methodology. Dr. Schauber has been actively involved in teaching researcher skills including academic writing, presenting, and communication. He conducts workshops on item-writing, test development, exam construction, and the R Language for Statistical Computing. His expertise in educational measurement has been applied across various contexts, from national licensing examinations to team performance assessment in emergency medicine. He is associated with several research projects including 'Competency assessment in medical education,' 'MonKeyMed - Monitoring of key indicators at the Faculty of Medicine,' and 'Equity in education and in measuring educational outcomes.' His work with the Diagnostic Quality Lab in Bern focuses on improving diagnostic safety through collaborative research on diagnostic decision-making processes and error reduction strategies.

Michael Amslerمشاهده پروفایل

پژوهشگر

• Automated Media Content Analysis
• Political Communication
• Social Media Analysis
• +۳ مورد دیگر

Michael Amsler is a Researcher at the University of Zurich’s Institute of Mass Communication and Media Research, part of the Faculty of Arts. He holds dual roles as a Postdoctoral Scholar in Media Research and a Research Assistant in the Department of Computational Linguistics (Innosuisse Project ReAdvisor). His research focuses on automated media content analysis, political communication, and computational linguistics applications in social media environments. Amsler earned his MA in Mass Communication and Media Research (2012) and completed his PhD in the NCCR Democracy project (2020). Education: MA 2012 (UZH), PhD 2020 (UZH) Affiliations: Institute of Mass Communication, Department of Computational Linguistics, ARGUS der Presse AG (2013-2020) His work bridges computational methods with political communication studies, analyzing media framing of governance, populist strategies, and emotionalized discourse. Key projects include SIFT (media coverage toolkit) and ReAdvisor (innosuisse NLP project). His publications span sentiment analysis frameworks, verb-based polarity classification, and social media’s role in amplifying political anger. Notable contributions include developing Sentiframes (verb-centric German sentiment resources) and exploring how alternative media drive polarized reactions. His research emphasizes automated tools for analyzing governance legitimacy and public accountability through language technologies.

• Computational Social Science
• Political Science
• Data Science
• +۴ مورد دیگر

Marcel Schliebs is a Political Data Scientist and DPhil candidate at the Oxford Internet Institute (OII), University of Oxford. His research bridges social sciences, statistics, and computer science, focusing on voting behavior, disinformation, digital text forensics, and AI in warfare. As a Researcher at the Computational Propaganda Project, he investigates algorithmic manipulation of public opinion and digital governance challenges. Primary Affiliation: Oxford Internet Institute, University of Oxford Academic Status: DPhil Candidate (Social Data Science), Researcher Marcel's research spans three main domains: Computational Social Science: Applying data science to political behavior and digital communication Information Warfare: Analyzing state-sponsored disinformation campaigns and coordinated network amplification Digital Diplomacy: Studying how governments use social media for geopolitical influence His recent publications examine: PRC diplomats' social media strategies on Facebook/Twitter Coordinated amplification networks in UK Twitter diplomacy COVID-19 infodemic patterns State-backed media's coronavirus narratives in multiple languages Marcel combines technical expertise in: Statistical modeling Machine learning Network analysis Large-scale social media data processing He previously completed his MSc at the OII (2019-2020) and has provided policy expertise to: German Foreign Office French National Election Study NATO's WMD Non-Proliferation Centre

• Japanese Social Policy
• Industrial Relations
• Human Resource Management
• +۵ مورد دیگر

Dr. Harald Conrad is an Honorary Senior Lecturer in Japanese Studies at the University of Sheffield’s School of Languages, Arts and Societies. Previously, he served as Sasakawa Lecturer in Japan’s Economy and Management, Research Fellow and Deputy Director at the German Institute for Japanese Studies, and Associate Professor at Ritsumeikan Asia Pacific University. His research focuses on Japanese social policy, industrial relations, human resource management, and economic impacts of demographic change. He directs the 'Business, Political Economy and Development' cluster at the White Rose East Asia Centre and contributes to editorial boards of journals like Contemporary Japan and Japan Forum . His research interests include Japanese and comparative social policy, cross-cultural negotiation, and corporate pension systems. Notable projects examine recruitment practices of Japanese multinationals, labor union dynamics, and UK institutional investors’ perspectives on Japanese equities. His publications span books like The Japanese Social Security System in Transition and over 30 journal articles analyzing topics from antique art trade economics to corporate governance. His recent work emphasizes globalization’s impact on Japanese HR practices and demographic challenges in aging societies. Dr. Conrad has held roles including Japan Representative for the German Friedrich Ebert Foundation (2005–2008) and Council Member of the European Association of Japanese Studies (2005–2011). His interdisciplinary approach bridges sociology, economics, and policy analysis to address contemporary issues in East Asian studies.

Jan Engbergمشاهده پروفایل

استاد

• Knowledge Communication
• Specialized Translation
• Dissemination and Popularization
• +۳ مورد دیگر

Jan Engberg - Academic Overview Jan Engberg is a Professor at the School of Communication and Culture, Aarhus University. His primary affiliation is within specialized communication and translation studies, focusing on knowledge dissemination across disciplines and languages. He holds a honorary doctorate (Dr. h.c.) and has a strong focus on bridging expert and non-expert communication in legal, scientific, and economic domains. Research Focus Engberg's research emphasizes how experts communicate complex knowledge to diverse audiences. Central themes include legal communication, translation practices, and multimodal knowledge transfer. His work spans legal systems, scientific discourse, and economic communication, with a particular interest in cross-linguistic challenges and digital recontextualization of expertise. Teaching & Pedagogy His teaching focuses on German business communication and specialized translation, particularly in legal and economic contexts. He emphasizes practical skills for international business contexts and economic understanding in multilingual settings. Key Projects SciDis (2022–2026): Studies recontextualization in digital scientific communication HUMANE-BIZCOMM: Models human-centric business communication TecCOMFrame (2015–2018): European framework for technical communicators' training Publications Engberg's publications address legal linguistics, translation ethics, and knowledge mediation. Recent works include encyclopedia entries on legal communication, contributions to EU policy analysis, and studies on multimodal science dissemination. Grants & Collaboration Engberg leads or collaborates on multiple EU-funded projects focusing on multilingualism in education, legal communication, and scientific dissemination. His work often involves interdisciplinary teams and practical applications in education and industry. Labs/Teams His research is embedded within collaborative networks like the MWissFo and SciDis projects, focusing on digital communication and knowledge transfer mechanisms.

• Artificial Intelligence
• Robotics
• Autonomous Cars
• +۳ مورد دیگر

Raúl Rojas is the Fred D. Gibson, Jr. Endowed Professor in Science at the University of Nevada, Reno (UNR), affiliated with the College of Science. His research focuses on Artificial Intelligence, Robotics, Autonomous Cars, and Number Theory. He teaches courses such as Linear Algebra, Calculus, and Statistical Machine Learning. Rojas holds a PhD H.c. in Computer Science from Inastituto Nacional de òptica y Electrónica (2016), a Habilitation in Computer Science from Freie Universität Berlin (1994), and a PhD in Economics (1988). His notable publications include books like Konrad Zuse’s Early Computers (2023) and The Language of Mathematics (2025), alongside influential papers on topics ranging from early computing history to LiDAR-based autonomous vehicle systems. His work bridges historical computing milestones with modern robotics and mathematical theory. Rojas’ research has been presented at major conferences like IEEE ICRA and futuRetro, highlighting contributions to autonomous systems and computational heritage. His interdisciplinary approach integrates theoretical mathematics with applied robotics, reflecting a career dedicated to advancing computational science and its societal impacts.

Heinz Rienerمشاهده پروفایل

پژوهشگر

• Logic Synthesis
• Formal Methods
• Computer-Aided Verification
• +۴ مورد دیگر

Heinz Riener is a Researcher at the Integrated Systems Laboratory (LSI) within the School of Computer and Communication Sciences (IC) at EPFL, Lausanne, Switzerland. He holds a Ph.D. (Dr.-Ing.) in Computer Science from the University of Bremen, Germany. Previously, he worked at the German Aerospace Center (DLR) and the University of Bremen's Reliable Embedded Systems group. His research focuses on logic synthesis , formal methods , and computer-aided verification of hardware and software systems. Key areas include quantum computing (e.g., AQFP circuits), nanotechnology (e.g., RFET-based circuits), and emerging technologies like adiabatic quantum-flux parametron systems. Developed open-source tools like mockturtle and easy for logic synthesis and ESOP forms. Principal Investigator on projects like the Open Logic Synthesis Libraries initiative. Active in program committees for conferences like DAC, DATE, and FDL. Collaborates with institutions such as TU Graz, TU Hamburg, and UC Berkeley. His work emphasizes reproducibility and open-source collaboration in logic synthesis, contributing to benchmarks and libraries widely used in academia and industry.

Matthias Kroppمشاهده پروفایل

استاد

• Accounting
• IFRS (International Financial Reporting Standards)
• Financial Derivatives
• +۳ مورد دیگر

Prof. Dr. Matthias Kropp is a Professor of Financial Management at Pforzheim University’s Faculty of Business and Law. He holds a dual role as Academic Director of the International Study Program (ISP), established in 2007, and served as Dean of Academic Affairs from 2009 to 2014. His career spans banking, professional accounting (Big4 audit roles), and academia, with expertise in financial risk management, IFRS compliance, and financial derivatives reporting. Education: Banking apprenticeship, Frankfurt University (Business Administration), and a semester at Southampton University (UK). Doctoral research focused on financial risk management. Post-doctoral roles included Frankfurt University’s Bank Management Department and Big4 audit roles specializing in financial instruments accounting. Research focuses on IFRS implementation challenges, financial derivatives valuation, and regulatory compliance. Notable contributions include critiques of IASB exposure drafts and analysis of Goodwill accounting under IFRS. Teaching spans German and English-language courses in financial accounting, banking, and IFRS. Publications (2002–2021) emphasize student financing models, accounting standard implementation, and regulatory frameworks. Key works address Bafög scholarships, loan repayment structures, and deposit insurance reforms. Accolades include the Lehrpreis der Fakultät für Wirtschaft und Recht. Administrative roles include Associate Dean for National Accreditation (2014–2023), ISP Director (2007–2022), and leadership of cross-departmental business administration programs. Labs/Teams: Active in curriculum development for international programs and quality assurance through accreditation processes. Collaborates with organizations like VDMA (German Engineering Federation) on accounting standard applications.