جست‌وجوی استاد و پژوهشگر

Muriel Nordeمشاهده پروفایل

استاد

• Historical Linguistics
• Corpus Linguistics
• Construction Grammar
• +۵ مورد دیگر

Muriel Norde is a full Professor of Scandinavian Linguistics at the Department of Northern European Studies , Humboldt-Universität zu Berlin, since 2013. Her research focuses on historical linguistics , construction grammar , and degrammaticalization in Germanic languages, particularly Scandinavian varieties. She has extensive experience in corpus linguistics and diachronic morphological analysis . Current Role: Professor at Humboldt-Universität Berlin Past Affiliations: University of Groningen (1997-2013), University of Amsterdam (1998-2003) Research Highlights : Spearheads the BiNoKo Corpus project for comparative historical register analysis. Leads international collaborations on exaptation in morphology and evaluative morphology . Key publications in Diachronic Construction Grammar and libfixes in European languages. Academic Contributions : Authored 83+ publications with over 21,182 reads. Notable works include studies on Swedish genitive evolution , Dutch diminutives , and modal constructions in Old Swedish . Her 2023 Frontiers in Psychology paper co-analyzes register pervasiveness across cultures. Supervision : Serves as promotor or committee member for 9+ PhD theses, including projects on Old Norwegian syntax , Dutch productivity shifts , and Norwegian demonstrative reinforcement . Collaborates with universities in Edinburgh, Ghent, Leuven, and Oslo.

Hans Ulrich Vogelمشاهده پروفایل

استاد

• Social and Economic History
• History of Technology and Science in China
• Marco Polo Research
• +۵ مورد دیگر

Prof. Hans Ulrich Vogel is a renowned scholar in Social and Economic History , specializing in the History of Technology and Science in Traditional China at Eberhard Karls University Tübingen . His research spans topics like Salt Production , Mining Techniques , Monetary Systems , and Marco Polo's Historical Role in early globalization. He directs the DFG-funded project on Western Science Translation in Late Ming China (2018-2023). Key research areas include: Salt, mining, and monetary history Taiping Rebellion administration Marco Polo's economic impact Comparative technological studies Scientific awards: ICAS Accolade (2015) for Marco Polo Was in China His recent publications focus on Sino-European knowledge exchange, with articles analyzing technological convergence/divergence and historical economic policies. The Brill Monograph Series he edits explores Monies and Markets in East Asia (1600-1900).

Cedric du Mouzaمشاهده پروفایل

استاد

• Database Systems
• Data Mining
• Digital Humanities
• +۶ مورد دیگر

Cédric du Mouza is a full Professor within the CEDRIC Laboratory at the Conservatoire National des Arts et Métiers (CNAM) in Paris, France. His research activities lie at the intersection of database systems, data mining, and digital humanities, with a strong emphasis on social network analysis, knowledge base population, and spatial/temporal data management. Education details are not explicitly provided in the source material. His research interests can be summarized as follows: Database Technologies: scalable indexing, distributed repositories, spatial and temporal data structures. Data Mining & Machine Learning: community detection, influence maximization, recommender systems. Digital Humanities: prosopographic databases, historical social networks, credibility assessment of historical sources. Social Media Analytics: Twitter user profiling, early detection of popular accounts, reducing filter bubbles. Across more than two decades, Prof. du Mouza has produced a rich scholarly record that blends theoretical advances with practical applications. Recent publications (2020-2024) highlight a methodological shift toward end-to-end evaluation frameworks for knowledge base population, uncertainty modeling in historical corpora, and real-time influence maximization in advertising ecosystems. These works are published in premier venues such as SIGIR , VLDB Journal , WISE , CIKM , and leading French conferences (EGC, BDA). No specific scientific awards, funded projects, or doctoral student names are mentioned in the supplied text. Prof. du Mouza collaborates extensively within interdisciplinary teams involving historians, computer scientists, and statisticians, reflecting CEDRIC’s integrative research culture. While no dedicated laboratory or team name is provided, his continuous affiliation with CEDRIC/CNAM confirms an active and ongoing role in both research and graduate-level education.

• Cybersecurity
• Trust Management Systems
• Intrusion Detection
• +۵ مورد دیگر

Véronique Legrand is a Researcher at the Conservatoire National des Arts et Métiers (CNAM), working within the School of Engineering's Computer Science and Security department. She is affiliated with the CEDRIC (Centre d'études et de recherche en informatique et communications) Laboratory, focusing on secure systems research. Her career spans over two decades with continuous publication output from 2003 through 2025. Dr. Legrand's research focuses on cybersecurity, particularly trust management systems, intrusion detection, security event correlation, and cyber incident analysis. Her work bridges theoretical frameworks with practical applications, evident from her extensive publication record in both conference proceedings and journals. Recent work shows increasing focus on digital twin technology for critical infrastructure security and cybersecurity policy development. Her publication trends reveal a consistent focus on behavioral analysis for security monitoring, with early work on Bayesian modeling evolving into sophisticated multi-layer frameworks for threat analysis. The 2018-2025 period shows increased emphasis on ontology engineering for incident root cause analysis and practical cybersecurity policy development, reflecting the maturation of her research into applied security solutions. Dr. Legrand has contributed significantly to security frameworks including OMMA (Operator-guided Monitoring of Multi-step Attacks) and HuMa (Multi-layer Framework for Threat Analysis), demonstrating her expertise in developing practical security architectures for complex environments. Her collaborative work spans multiple institutions including INRIA, with consistent partnerships with researchers like S. Ubéda, J. Saraydaryan, and others throughout her career. This extensive collaboration network demonstrates her integration within the French cybersecurity research community.

• Formal Concept Analysis
• Machine Learning
• Semantic Web
• +۳ مورد دیگر

Professor Dr. Tom Hanika is affiliated with the University of Hildesheim , working in the Intelligent Information Systems (IIS) division within the Institute of Computer Science. His research bridges formal concept analysis , machine learning , and knowledge representation , focusing on geometric interpretations of data and explainable AI systems. Research Themes: Intrinsic dimensionality, lattice structures, and hybrid human-AI collaboration Teaching: Offers courses in databases, C++ programming, and semantic technologies Contact: Office (SC.C. 2.03), Phone +49 5121 883-40312, Email via contact form Recent publications highlight his work on geometric data analysis and formal context manipulation , including applications in graph neural networks, ordinal pattern recognition, and conceptual lattice visualization. His Collaborative Hybrid Human AI Learning framework demonstrates practical implementations of these theories. Current projects explore dimensionality resilience in machine learning models and topic flow visualization in academic networks, reflecting his dual focus on theoretical foundations and applied knowledge systems.

Shmuel Avidanمشاهده پروفایل

استاد

• Object Tracking
• 3D Object Modeling
• Computer Vision
• +۳ مورد دیگر

Prof. Shmuel Avidan serves as a Professor in the School of Electrical Engineering at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. Holding a Ph.D. from Hebrew University's School of Computer Science (1999), he brings extensive industry experience from Adobe, Mitsubishi Electric Research Labs, MobilEye, and Microsoft Research to his academic role. His educational trajectory features: Ph.D. in Computer Science, Hebrew University of Jerusalem (1999) Avidan's research centers on pixel-centric computational problems, with seminal contributions in video object tracking and 3D object modeling from 2D images. His work spans computer vision, image processing, and machine learning, emphasizing practical applications in industrial settings. Current investigations explore neural rendering, foundation models, and diffusion-based architectures for visual understanding. Recent publications (2023-2025) demonstrate concentrated innovation in neural radiance fields (NeRF), category-agnostic pose estimation, and texture-aware segmentation. These works increasingly integrate foundation models with domain-specific applications in medical imaging, autonomous systems, and materials science, reflecting a strategic shift toward scalable vision systems. Though specific awards aren't documented in source materials, his prolific publication record and sustained industry partnerships signify substantial field impact. His research group maintains active collaboration with leading technology firms, translating academic discoveries into real-world solutions. Professor Avidan mentors graduate students in computer vision while securing competitive grants for projects at the intersection of theoretical computer vision and industrial implementation. His lab focuses on developing robust algorithms for challenging visual environments, particularly in autonomous driving and medical imaging contexts. Leading an active research group within Tel Aviv University's Electrical Engineering department, he drives innovation in neural rendering and vision-language models. The team regularly contributes to premier conferences including CVPR, ICCV, and ECCV, maintaining strong industry ties through ongoing partnerships with automotive and imaging technology companies.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۳ مورد دیگر

Long Wen is a Lecturer at the Technical University of Munich within the Department of Computer Science, affiliated with the Chair for Robotics, Artificial Intelligence and Real-time Systems led by Prof. Alois Knoll. He teaches the Masterseminar on Human-Robot Interaction (IN2107, IN4718) for the Winter semester 2024/25 and maintains an active research profile in robotics and AI. Office: 5607.03.054, Boltzmannstr. 3(5607)/III, 85748 Garching bei München Contact: long.wen@tum.de | +49 (89) 289 - 18112 His research concentrates on Robotics, Artificial Intelligence, and Real-time Systems with specific expertise in safety-critical control for mobile robots, autonomous driving architectures, and virtualization for software-defined vehicles. Wen investigates human-robot interaction paradigms, cloud/fog computing for robotics applications, and anomaly detection in industrial processes, emphasizing real-time performance and adaptive control in dynamic environments. Analysis of Wen's 10 publications (2023-2025) reveals a cohesive research trajectory focused on deploying AI-driven solutions in safety-critical robotics systems. Key trends include meta-learning for obstacle navigation, containerized microservice architectures for autonomous vehicles, and Gaussian process applications in uncertain control models. His work bridges theoretical control theory with practical implementations in ROS 2 frameworks and automotive virtualization. Scientific awards: No awards or fellowships were documented in the source material. Wen collaborates extensively with Prof. Alois Knoll's research group on grant-funded projects related to autonomous systems, though specific funding sources and student supervision details remain undisclosed in the provided text. He contributes to the Robotics, AI and Real-time Systems laboratory at TUM, where his team develops containerized architectures for autonomous driving software and evaluates virtualization technologies for software-defined vehicles, with recent work presented at ICRA, IROS, and IEEE conferences.

Elton Priftiمشاهده پروفایل

استاد

• Historical Word Research
• Language History
• Multilingualism Research
• +۷ مورد دیگر

Professor Elton Prifti is Chair of Romance Philology at Saarland University since 2022, with a distinguished career in Romance linguistics, etymological lexicography, and language contact studies. He previously held positions as Full Professor of Romance Linguistics at the University of Vienna (2019-2022), Junior Professor at the University of Mannheim (2013-2019), and various research positions at Saarland University. His research focuses on historical word research, language history, multilingualism, variational linguistics, contact linguistics, migration linguistics, and digital language science. Prifti's work particularly emphasizes inter-Adriatic language contacts, Romance minority languages, and the digital transformation of etymological dictionaries. Prifti has made significant contributions to the field through his leadership of the Lessico Etimologico Italiano (LEI) project, which he has been responsible for digitizing since 2015. His recent publications reflect a strong trend toward digital humanities approaches to historical linguistics, with numerous articles on digital lexicography, knowledge networks in medieval Romance languages, and the development of digital tools for linguistic research. Premio Cesare Pavese 2020 (Saggistica section) Kurt-Ringger-Preis 2013 from the Academy of Sciences and Literature Mainz Elected as full external member of the Academy of Sciences of Albania (2021) Elected as foreign corresponding member of the Accademia della Crusca (2019) As co-editor of the Journal of Romance Philology and the LEI project, Prifti plays a significant role in guiding scholarly discourse in Romance linguistics. His leadership extends to directing the long-term ALMA project on knowledge networks in medieval Romance languages and serving on various academic boards including the Kurt Ringger Foundation and the scientific committee of the journal Ladinia. Prifti's work spans multiple institutional contexts across Europe, with particular expertise in the linguistic landscapes of the western Balkans, Romance minority communities, and the development of digital tools for historical linguistic research.

• Slavic Philology
• Linguistics
• Word Formation
• +۱۱ مورد دیگر

Prof. Dr. Svetlana Mengel ist Inhaberin des Lehrstuhls für Slavische Philologie/Sprachwissenschaft an der Martin-Luther-Universität Halle-Wittenberg (seit 1997). Sie promovierte 1985 an der Moskauer Lomonosow-Universität mit der Dissertation zu altrussischen Personennamen und habilitierte sich 1996 an der Humboldt-Universität Berlin zu Ostslawischen Wortbildungs-Normen. Forschungsschwerpunkte: Wortbildungstheorie, Entwicklung slavischer Standardsprachen, Altkirchenslavisch, Übersetzungsprojekte pietistischer Texte, Russisch als Fremdsprache Projekte: Leitung des Halleschen Zertifizierungszentrums für Russisch, Koordination von Universitätsverträgen mit Moskau, Paris, Pavia Ihre Publikationen umfassen über 20 Bücher und 100 Fachartikel, darunter wegweisende Arbeiten zur russischen Sprachgeschichte und interkulturellen Kommunikation. Aktuelle Forschung (2018-2021) analysiert mystische Sprache im Russland der Neuzeit ( Über Gott und mit Gott sprechen , Frank&Timme 2024).

• Educational Psychology
• Epistemological Beliefs
• Metacognition
• +۳ مورد دیگر

Dr. Inka Hähnlein is a Researcher at the Department of Educational Psychology within the Faculty of Philosophy III at Martin Luther University Halle-Wittenberg. Her academic trajectory includes doctoral studies at the University of Passau and ongoing research positions focused on educational psychology and technology-enhanced learning since 2018. Her research explores: Epistemological beliefs and metacognitive processes in learning Knowledge modeling and domain representation methodologies Instructional interventions for teacher education Technology-mediated learning environments She has developed specialized instruments like the StEB inventory for assessing teacher candidates' epistemological frameworks. Hähnlein's publications demonstrate strong emphasis on: Experimental studies in mathematics education Knowledge visualization techniques Psychometric validation of educational assessments Technology-supported teacher development Her work frequently employs quasi-experimental designs and knowledge modeling approaches. As a member of the university's Commission on the Future of Studies and Teaching, she contributes to pedagogical development. She also prepares examination materials for state teaching certifications in psychology, demonstrating teaching-related engagement despite her primary research focus.

Angelika Zirkerمشاهده پروفایل

دانشیار

• Shakespeare
• Early Modern Poetry
• Children's Literature
• +۷ مورد دیگر

Angelika Zirker is an Associate Professor of English Literature at the University of Tübingen, where she also serves as Co-Dean of the Faculty of Humanities. Her academic career is deeply embedded in the Department of English within the Faculty of Humanities, where she leads significant research initiatives and contributes to major editorial projects including Connotations: A Journal for Critical Debate and Literaturwissenschaftliches Jahrbuch . Zirker completed her studies in English, French, and German at the Universities of Saarbrücken (Germany), Metz (France), and Cardiff (Wales). She earned her PhD in English Literature in July 2009 with a dissertation on The Pilgrim as a Child: Concepts of Play, Language and Salvation in Lewis Carroll's Alice Books , followed by her Habilitation William Shakespeare and John Donne: Stages of the Soul in Early Modern English Poetry published by Manchester University Press in 2019. Her research spans multiple interconnected fields with a strong focus on Shakespeare studies, Early Modern poetry, children's literature, and concepts of childhood. She has developed significant expertise in literature and religion, the theory of literary annotation, and nineteenth-century literature with emphasis on the novel. Zirker is particularly noted for her innovative work at the intersection of traditional literary scholarship and digital humanities methodologies, exploring how digital tools can enhance textual analysis and annotation practices. Analysis of her recent publications reveals a consistent trajectory toward interdisciplinary collaboration and methodological innovation. Her work increasingly bridges literary studies with computational approaches, particularly in the areas of ambiguity studies, co-creativity in pre-modern literature, and systematic annotation of literary texts. This reflects her leadership in the Tübingen CRC "Andere Ästhetik" (Different Aesthetics) where she serves as principal investigator for project C5 on "The Aesthetics of Co-Creativity in Early Modern English Literature," and in CRC 1718 "Common Ground" where she co-chairs project C5 on "Multiple Common Grounds: Literary Mechanisms for Literary Meaning." Zirker actively supervises Bachelor's and Master's theses on topics including literature from 1550-1900, digital literary studies, children's literature, poetry (medieval to present day), and literature and linguistics. Her grant portfolio demonstrates sustained success in securing major research funding, including her involvement in the successful CRC 1718 "Common Ground" proposal, her role as PI in the Tübingen CRC "Andere Ästhetik," and previous participation in GRK 1808 on Ambiguity: Production and Perception (2013-2022) and SFB 833's project A2 "Interpretability in Context" (2010-2022). She leads the digital humanities project on explanatory annotation of literary texts (annotation.es.uni-tuebingen.de) and plays a central role in the Tübingen research ecosystem through her leadership in multiple collaborative research centers focused on textual analysis, ambiguity, and co-creativity in literary production. Her work demonstrates how traditional literary scholarship can be enriched through digital methodologies while maintaining rigorous philological standards.

Dirk Reinelمشاهده پروفایل

استاد

• Health Informatics
• Data Management
• Natural Language Processing
• +۳ مورد دیگر

Prof. Dr. Dirk Reinel serves as Professor at Hof University of Applied Sciences within the Faculty of Interdisciplinary and Innovative Sciences since the 2023/2024 winter semester. He leads the B.Sc. program in Innovative Health Care and acts as StartupLab Ambassador for Innovative Health Care, driving healthcare innovation initiatives. His academic journey includes Computer Science studies at Hof University followed by doctoral research at the University of Bamberg, where he earned his Dr. rer. nat. in 2018 through work on corpus-based lexical resource generation for opinion mining. Reinel's research bridges Health Informatics and Natural Language Processing , with dual specializations in health data management (particularly migraine epidemiology) and sentiment analysis . His publication record reveals two distinct trajectories: clinical studies analyzing migraine patterns relative to school schedules, weekly cycles, and temperature variations; and technical contributions to opinion mining including phrase generation algorithms and domain-specific applications for insurance and social media. His recent work demonstrates increasing focus on healthcare applications, culminating in the 2022 adolescent migraine study, while maintaining foundational NLP contributions from his 2018 dissertation. The integration of clinical research with advanced text analytics represents his distinctive interdisciplinary approach. Co-founding smartlytic GmbH in 2017 enabled practical implementation of his research, notably through the DMKG Kopfschmerzregister (Headache Register) developed with the German Migraine and Headache Society. His current StartupLab role extends this translational focus, mentoring healthcare innovation projects while directing the B.Sc. program in Innovative Health Care.

Debayan Banerjeeمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Explainability
• Machine Learning
• +۵ مورد دیگر

Dr. Debayan Banerjee is a Researcher at the Institute for Business Information Systems (IIS) and part of the Professorship for Business Informatics, especially Artificial Intelligence and Explainability at Leuphana University Lüneburg. His work bridges academic research with practical applications in knowledge management, network science, and AI systems. Institute: Institute for Business Information Systems (IIS) Professorship: Business Informatics, Artificial Intelligence and Explainability Location: Universitätsallee 1, C4.308b, Lüneburg (21335) Email: debayan.banerjee@leuphana.de Research interests focus on knowledge graph integration, hybrid intelligence systems, and explainable AI. His projects include USIN5G, ARDIAS, and INSTANT, emphasizing human-AI collaboration and scholarly data accessibility. Recent publications highlight SPARQL translation automation, hybrid question answering frameworks, and environmental impact analysis of language models. Collaborative work spans DBpedia-Wikidata interoperability, DBLP knowledge graph applications, and graph embeddings for QA systems. Education and advising : Mentored students include Mathias Gross, Fatemeh Ghoochani, and Soham Majumder, focusing on final theses related to AI-driven data extraction and knowledge graph development.

Richard Lemoine-Rodríguezمشاهده پروفایل

استاد

• Urban Ecology
• Remote Sensing
• Geoinformatics
• +۹ مورد دیگر

Dr. Richard Lemoine-Rodríguez is a postdoctoral researcher at the Institute of Geography and Geology under the Chair of Remote Sensing , Faculty of Philosophy, University of Würzburg. He also collaborates with the German Aerospace Center (DLR) . His interdisciplinary research bridges urban ecology , geoinformatics , and digital humanities to advance understanding of cities as complex socio-ecological systems. Education: PhD in Geography (2017-2022, Ruhr-Universität Bochum) MSc in Geography (2013-2015, UNAM) BSc in Biology (2008-2012, Universidad Veracruz) His methodological expertise includes multimodal data analysis , social media analytics (Twitter/BlueSky), NLP , and remote sensing techniques for studying urban heat islands, green infrastructure, land use changes, and socio-spatial inequalities. Current work focuses on the Geolingual Studies project (since 2022), exploring language-urban morphology interactions. Key research partnerships include collaborations with: Jakob Schwalb-Willmann (Earth Observation Research Cluster) Hannes Taubenböck (DLR/Technical University Munich) John F. Mas (UNAM) Luis Inostroza (University of Hamburg) Recent publications examine: Urban heat patterns through social media and satellite data Global urban form homogenization Migrant mobility analysis via Twitter Geospatiality of text data Ecological integrity assessments

Michael Bauerمشاهده پروفایل

مدرس

• Systematic Theology
• Biblical Hermeneutics
• Religious Education
• +۲ مورد دیگر

Dr. Michael Bauer is a Lecturer at the Chair of Protestant Theology I - Systematic Theology and Contemporary Theological Issues at Julius-Maximilians-University Würzburg. His work focuses on systematic theology, biblical hermeneutics, and cultural theology, particularly through historical semantics of modernity in theology (495 AD–1750). He has contributed to theological ethics, media pluralism, and the interpretation of biblical texts, as seen in his publications in collaborative volumes and journals like Zeitschrift für Neuere Theologiegeschichte . Affiliation: Institute for Protestant Theology and Religious Education, University of Würzburg Education: Doctorate in Theology (University of Würzburg, 2009) His recent publications span systematic theology, ethical debates on media (e.g., Selfies als Ausdruck von Narzissmus? ), and historical-theological analysis. While his teaching and research align with theology, his Google Scholar profile shows interdisciplinary contributions to chemistry and physics, though these appear unrelated to his theological roles. Further verification is needed to confirm if these represent the same individual.