جست‌وجوی استاد و پژوهشگر

• Metaphysics
• Epistemology
• Analytic Philosophy of Language
• +۸ مورد دیگر

Prof. Dr. Christoph Kann is a Professor of Philosophy at the Institute for Philosophy , Faculty of Arts and Humanities , Heinrich-Heine-Universität Düsseldorf , with a career spanning over three decades. His work bridges metaphysics, epistemology, analytic philosophy of language, logic, and the history of logic , alongside specialized research in antiquity and medieval philosophy . He has led significant projects, including the DFG-funded "Albert Camus's Early Philosophical Work – New Sources and Perspectives" (2023–2025), and co-edits series like Whitehead Studies and Studia Philosophica et Historica . A key figure in medieval logic and Whiteheadian thought , he has held visiting fellowships and advisory roles in societies such as the Society for Medieval Philosophy and Renaissance and the German Whitehead Society . Education : First State Examination in Philosophy and Classical Philology (Düsseldorf, 1988), Doctorate (Cologne, 1991), Habilitation (Paderborn, 1998). His research explores medieval scholastic debates , frame theory in historical philosophy, and existentialist themes in Camusian thought. Collaborations with scholars like Oliver Victor and Dennis Sölch highlight his interdisciplinary approach. Recent projects focus on "Footnotes to Plato" in Whitehead's work and Camus's early writings , aiming to contextualize their relevance to European cultural concepts and 20th-century philosophy . He has supervised PhD students, including Oliver Victor, and contributed to DFG research units on functional concepts and historical representations. Key publications include monographs on Albert of Saxony's logic , Whitehead's philosophy of history , and Camusian existentialism , alongside co-edited volumes on medieval logic and modern views of medieval thought . His editorial work with transcript Verlag and Verlag Karl Alber underscores his influence in philosophical publishing . Current lectures and workshops, such as those on "Cultural Foundations of Europe" , reflect his ongoing engagement with historical-systematic intersections in philosophy and cultural studies.

Corina Dimaمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Computational Linguistics
• Semantic Composition
• +۴ مورد دیگر

Corina Dima is a Researcher at the University of Stuttgart's Analytic Computing group (KI), specializing in natural language processing and computational linguistics. Her work bridges theoretical linguistics with practical applications in semantic composition, knowledge graphs, and biomedical entity linking, with strong collaborations at both the University of Stuttgart and University of Tübingen. Dr. Dima earned her PhD from the University of Tübingen in 2019 with a dissertation on composition models for nominal compounds. Her research focuses on semantic interpretation of multi-word expressions, distributional semantics, and German language processing, contributing foundational work on transformation weighting models and annotation schemes for compound-internal relations. Her publication trends reveal a strategic evolution from core NLP challenges (prepositional phrase attachment, noun compound interpretation) toward biomedical applications (WikiMed-DE) and knowledge graph evolution (Wikidated). Recent work emphasizes German-language biomedical entity linking and efficient composition models that balance performance with parameter reduction, demonstrating consistent innovation in dataset construction and model design. As part of the Analytic Computing research group, Dr. Dima contributes to the University of Stuttgart's artificial intelligence initiatives, particularly in semantic web technologies and knowledge-driven NLP systems. Her collaborative projects with Steffen Staab and Erhard Hinrichs highlight her integration within a leading European research ecosystem focused on scalable language understanding solutions.

Dietmar Wikarskiمشاهده پروفایل

استاد

• Computer-Supported Cooperative Work (CSCW)
• Systems Analysis
• Workflow Management
• +۶ مورد دیگر

Dietmar Wikarski is a Professor in the Department of Economics at the Brandenburg University of Technology. His expertise spans Computer-Supported Cooperative Work (CSCW) , Systems Analysis , Business Process Modeling , and Quantitative Methods for System Evaluation . He has been a pivotal figure in advancing cooperative information systems and semantic technologies in both academic and administrative contexts. Education: Studied Mathematics at Donetsk University (1972-1977) Doctorate: Promoted in 1984 at Humboldt University of Berlin Wikarski’s research focuses on Workflow Management , Petri Nets , and E-Government . His work integrates qualitative and quantitative analysis for distributed systems, with applications in healthcare, education, and public administration. He has developed methodologies for BPMN tools, telemedicine communication, and semantic technologies in knowledge management. Recent publications highlight his contributions to sustainable rural development, taxonomy governance, and process modeling in academic and medical sectors. His teaching portfolio includes courses on Systems Analysis, Process Modeling, and Semantic Technology Applications for Business Informatics students. Research Highlights: Dynamic knowledge mapping using semantic web technology Modular process nets for system evaluation Petri net tools for workflow adaptability Exception handling in workflow management Integration of qualitative and quantitative software analysis Cooperative information systems engineering

Peter Fienerمشاهده پروفایل

استاد

• Soil Erosion
• Surface Runoff
• Water and Soil Resource Management
• +۷ مورد دیگر

Peter Fiener serves as Professor for Water and Soil Resource Research at the Department of Geography, Faculty of Applied Computer Sciences, University of Augsburg since 2013. He concurrently holds the position of Dean of Students in the Department of Geography (since 2016) and coordinates the Marie Skłodowska-Curie Innovative Training Network SOPLAS (since 2021). His academic journey includes prior appointments as Professor at the Indo-German Centre for Sustainability, Indian Institute of Technology Madras (2011-2012) and Senior Scientist at the University of Cologne (2004-2013). PhD from Technische Universität München (2003) Habilitation from University of Cologne (2010) Master's in Geography from Universität Augsburg and LMU München (1998) Professor Fiener's research program focuses on measuring and modeling surface runoff, soil erosion, and lateral matter fluxes in agricultural landscapes. He investigates the effects of spatio-temporal patterns and connectivity on water and matter movement, coupling these processes with biogeochemical cycles in terrestrial and aquatic ecosystems. A significant recent emphasis has been on macro and microplastics in arable soil systems, particularly their redistribution mechanisms. His geographical research areas of specialization include South India and Central Africa, where he has conducted extensive field studies on sustainable agricultural practices. Analysis of his 2024-2025 publications reveals a strong research trajectory toward microplastic detection methodologies, advanced soil erosion modeling using machine learning, and carbon dynamics in eroding landscapes. His work increasingly integrates remote sensing technologies with computational approaches to address large-scale soil conservation challenges, demonstrating particular innovation in plasticulture detection using satellite data and erosion nowcasting systems. Coordinator of Marie Skłodowska-Curie Innovative Training Network SOPLAS Professor Fiener leads the Water and Soil Resource Research Team comprising multiple doctoral researchers including Dr. Florian Wilken, Dr. Pedro Batista, and Dr. Lena Katharina Öttl, alongside numerous M.Sc. researchers. His M²ESH laboratory supports advanced measurement and modeling of soil hydrological processes. Current research directions include understanding tillage erosion's role in carbon dynamics, developing cost-effective microplastic detection protocols, and assessing long-term impacts of agricultural practices on landscape evolution across multiple temporal scales.

Stefanie Strickerمشاهده پروفایل

استاد

• Historical German Linguistics
• Old High German Glossography
• Corpus Linguistics
• +۳ مورد دیگر

Prof. Dr. Stefanie Stricker is a Chair Holder in German Linguistics at the Faculty of Humanities and Cultural Studies , Otto Friedrich University Bamberg. Her research focuses on historical German linguistics, particularly Old High German and Old Saxon glossography, corpus linguistics, and word formation. University: Otto Friedrich University Bamberg Department: Chair of German Linguistics Her current research projects include the digital recording of vernacular vocabulary from the Leges barbarorum (funded by DFG) and indexing Old High German/ Saxon gloss manuscripts. She collaborates with colleagues like Dr. Marco Bruckmeier and Dr. Anette Kremer. Recent publications analyze gloss manuscripts, medieval texts, and historical word formation. She leads edited volumes on gloss studies and co-authored the Linguistic History Workbook on Contemporary German (2nd ed., 2016). Prof. Stricker's team includes PhD researchers and supervised theses such as Annika Vieregge's MA dissertation. She maintains contact via email stefanie.stricker@uni-bamberg.de and has recently relocated to Luisenstraße 7, Bamberg.

Alexandre Hanftمشاهده پروفایل

پژوهشگر

• Case-based reasoning
• Textual case-based reasoning
• Collaborative Multi-Expert Systems
• +۳ مورد دیگر

Alexandre Hanft is a Researcher at the Intelligent Information Systems (IIS) Division of the Institute of Computer Science , University of Hildesheim. His work focuses on case-based reasoning (FBS), collaborative multi-expert systems, knowledge management from a process perspective, databases, and semantic wikis. Education : Degree in Computer Science from Humboldt University of Berlin (Oct 1996 - Nov 2004). Professional History : Research assistant in the Artificial Intelligence research group at Humboldt University (May 1998 - April 2002); continued as a research assistant at the University of Hildesheim since Dec 2004. His teaching includes programming topics in C++, database application development, semantic technologies, distributed learning systems, and data warehousing. He co-developed the CookIIS system, which won awards in the Computer Cooking Contest. Scientific Awards : 1st Computer Cooking Contest - Menu Challenge (2008) 2nd Computer Cooking Contest - World Champion (2009) He participated as co-chair in the FGWM 06 workshop during LWA 06 at the University of Hildesheim.

• Case-Based Reasoning
• Artificial Intelligence
• Knowledge Management
• +۵ مورد دیگر

Professor Klaus-Dieter Althoff is a faculty member at the University of Hildesheim, working within the Intelligent Information Systems Division of the Mathematics, Natural Sciences, Economics & Computer Science school. His research focuses on applying artificial intelligence techniques, particularly case-based reasoning (CBR), to architectural design support systems and knowledge management applications. His research interests center on Case-Based Reasoning methodologies , AI-assisted architectural design , semantic building information modeling , and knowledge representation systems . Althoff's work bridges computer science with practical applications in architecture, developing systems that automate and enhance early-stage design processes through machine learning and case-based approaches. Analysis of his recent publications (2021-2024) reveals a strong trend toward integrating deep learning with traditional case-based reasoning for architectural applications. His research increasingly focuses on autocompletion of architectural spatial configurations , BIM (Building Information Modeling) enhancement , and explainable AI for design support . The work spans theoretical CBR methodology development and practical implementations in architectural design tools. Althoff maintains active research collaborations across disciplines, with publications spanning architecture, computer science, and cybersecurity applications of case-based reasoning. His work demonstrates consistent methodological development in CBR frameworks like FLEA and SEASALT, while expanding into new application domains including network security and fitness training systems.

• Risk Analytics
• Financial Econometrics
• Statistics
• +۴ مورد دیگر

Dr. Rui Ren serves as a Researcher at the Chair of Statistics and Data Science within the Faculty of Business and Economics at the University of Augsburg since January 2025, following prior research roles at IDA Institute Digital Assets (2024) and Humboldt University of Berlin where she held a Marie-Skłodowska-Curie Individual Fellowship (2021-2022). Her academic credentials include a Ph.D. in Management Science from the University of Chinese Academy of Sciences (2019) and a B.Sc. in Mathematics from Minzu University of China (2013), complemented by a Visiting Ph.D. stint in Statistics at Humboldt University of Berlin (2018-2019). Rui Ren's research centers on Risk Analytics and Financial Econometrics with specialized expertise in network-based risk modeling for cryptocurrency ecosystems, sentiment-driven market behavior analysis, and high-frequency portfolio risk assessment. Her methodological approach integrates advanced statistical techniques with machine learning to address complex financial system dynamics, particularly in quantifying tail risks and cross-asset correlations. Her publication trajectory reveals an evolution from traditional market prediction using news sentiment toward sophisticated network analyses of crypto-asset interdependencies, demonstrating consistent innovation in financial risk quantification frameworks like the Financial Risk Meter (FRM). Her scientific recognition includes the prestigious Marie-Skłodowska-Curie Individual Fellowship and a Best Paper Award at the 2017 IEEE Symposium on Analytics and Risk. She actively contributes to thesis supervision and research collaboration within Prof. Okhrin's Chair, participating in statistical consulting services and research seminars focused on advancing data science applications in financial systems.

• Business Mathematics
• Statistics
• Data Warehouse Systems
• +۳ مورد دیگر

Manfred Soeffky serves as a Professor at the Berlin School of Economics and Law within the School of Economics and Law and Department of Economics and Business Administration, actively affiliated with the Institute of Quantitative Methods and Business Information Systems in Berlin, Germany. His research specializes in Business Mathematics and Statistics with concentrated expertise in Data Warehouse System Management, Multidimensional Data Analysis, and Knowledge Discovery and Data Mining. He investigates quantitative methodologies for corporate data infrastructure, focusing on data quality assessment, system architecture optimization, and practical implementation of business intelligence frameworks. Analysis of his 1999-2001 publications reveals consistent emphasis on data warehouse process management, ETL development, and knowledge management systems. His work demonstrates strong technical focus on data preparation techniques, operational data quality challenges, and portal-based enterprise integration solutions within business information systems. No information regarding scientific awards was documented in source materials. Specific details about student advising, research grants, laboratory teams, or current projects remain unreported in available documentation.

• Visual Perception
• Sensorimotor Control
• Aging and Cognition
• +۳ مورد دیگر

Jutta Billino serves as Associate Professor in the Department of General Psychology at the Faculty of Psychology and Sports Science, Justus Liebig University Giessen, where she has held academic positions since 2008. Her research examines interindividual differences in visual perception and sensorimotor control across the adult lifespan, with particular focus on how sensory, motor, cognitive, and motivational processes interact in healthy aging and neurological conditions. Her academic background includes a Diploma in Psychology from Justus Liebig University Giessen and University of Utah (1992-1998), state certification as Psychological Psychotherapist (1999-2002), Clinical Neuropsychology certification (1999-2005), and PhD (Dr. rer. nat.) from JLU Giessen in 2009. Her doctoral work investigated motion processing pathways in humans under Prof. Karl Gegenfurtner. Professor Billino's research program explores visual perception and sensorimotor control through behavioral experiments with healthy adults and neurological patients. Her work reveals how aging affects visual confidence, tactile suppression during movement, and multisensory integration, demonstrating that cognitive control capacities mediate age-related differences. Current projects examine memory for unexpected objects in real-world scenes and cross-modal metacognition, highlighting preserved abilities in older adults through compensatory mechanisms. Recent publications (2018-2023) show consistent focus on aging and perception, with key contributions in visual confidence mechanisms, sensorimotor predictions, and multisensory integration. Her work spans experimental psychology, cognitive neuroscience, and clinical neuropsychology, frequently employing eye-tracking, behavioral paradigms, and patient studies to uncover lifespan trajectories in perceptual processing. Her scientific recognition includes: DFG Graduate College Fellowship (2004-2008) in 'Neuronal Representation and Action Control' As academic supervisor, she guides PhD candidates in perceptual aging research and secures third-party funding for her laboratory investigations. Her teaching integrates clinical neuropsychology with experimental methods, reflecting her dual expertise in research and clinical practice. She maintains active collaborations across European institutions, particularly in motion perception and aging research networks. Professor Billino leads a research group within the Department of General Psychology focused on visual perception across the lifespan. Her team employs behavioral testing, eye-tracking, and patient studies to investigate how sensory, motor, and cognitive processes interact during aging. Current projects examine confidence calibration in multisensory tasks and neural mechanisms underlying preserved perceptual abilities in older adults, with implications for healthy aging interventions.

Carina Silbererمشاهده پروفایل

استادیار

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۵ مورد دیگر

Carina Silberer is an Assistant Professor at the Institute for Natural Language Processing within the Faculty of Computer Science, Electrical Engineering, and Information Technology at the University of Stuttgart. Her research bridges computational linguistics, computer vision, and artificial intelligence, focusing on multimodal language processing and semantic representation. Research Focus: Semantic compositionality, vision-language integration, and multimodal learning Expertise: Cross-modal understanding, computer vision, natural language processing Publications: 15 most recent works (2010–2025) span machine learning, semantic modeling, and multimodal cognition Her work explores how language and visual data interact, including emotion recognition in social media, object segmentation through referring expressions, and causal modeling in video analysis. She emphasizes empirical methods and dataset creation to advance multimodal research. Carina Silberer's publications demonstrate a strong focus on interdisciplinary approaches combining artificial intelligence with cognitive science and linguistics , particularly in grounding meaning through multimodal data. Her research contributes to understanding semantic representations, event modeling, and commonsense reasoning in vision-language systems.

Eduardo Guagliardiمشاهده پروفایل

مدرس پزشکی

• Mental Health Informatics
• Telepsychiatry
• Electronic Health Records
• +۳ مورد دیگر

Eduardo Guagliardi is a psychiatrist and medical educator specializing in Mental Health Informatics at Universidade Federal de Pernambuco, where he collaborates with NUTES (Health Technology Nucleus). His work focuses on digital health applications for mental healthcare services, particularly telepsychiatry and electronic health records for psychiatric care in Brazil's public health system. His research interests center on Mental Health Informatics, Telepsychiatry, and Electronic Health Records, with particular emphasis on improving mental healthcare delivery through digital solutions. His work addresses critical challenges in psychiatric services including patient management systems, clinical decision support tools, and information sharing across healthcare settings. He has developed frameworks for electronic patient records specifically for Psychosocial Care Centers (CAPS) in Brazil. His publication portfolio shows consistent focus on practical applications of health informatics in mental healthcare, with recurring themes around depression management, psychotic disorder treatment, and digital tools for clinical decision-making. His work bridges clinical psychiatry with information technology to improve patient care coordination and documentation standards. As a blogger and web curator, he actively disseminates knowledge about technology applications in mental healthcare, maintaining the platform www.psiquiatriadigital.com. He has contributed to developing electronic health record models for Psychosocial Care Centers in Lages, Santa Catarina, and served as a mental health teleconsultant through NUTES/UFPE.

Heiko Mausمشاهده پروفایل

پژوهشگر

• Knowledge Management
• Semantic Technologies
• Knowledge Graphs
• +۷ مورد دیگر

Dr. Heiko Maus is a researcher and department leader at the German Research Center for Artificial Intelligence (DFKI) GmbH in Kaiserslautern, Germany. As (co-)author of over 20 publications since 2005, he specializes in knowledge management, semantic technologies, and context-aware systems. Second Deputy Head of Smart Data & Knowledge Services Department (2022–) Team Leader of Topic Field Knowledge Work (2017–) Key projects: CoMem, EPOS, ForgetIT, myRPA His research focuses on knowledge graph applications for corporate memory systems, combining context modeling with semantic desktop environments . He develops personal knowledge assistants that integrate information silos through evolving knowledge graphs , with recent work exploring LLM-based adaptive relevance prediction for entity recommendation systems. Scientific contributions include the LDK 2019 Best Research Paper Award and multiple ACM/IEEE/ESWC publications . His 2024–2025 articles examine context-aware recommendation systems for knowledge workers, cyber mapping financial systems , and real-life knowledge work datasets .

Marcin Wiatrمشاهده پروفایل

پژوهشگر

• Educational policy processes
• Minority issues in East Central European border regions
• Literature in public discourse
• +۳ مورد دیگر

Dr. Marcin Wiatr is a Polish-German historian and researcher at the Leibniz Institute for Educational Media | Georg Eckert Institute since 2013, serving as Scientific Coordinator for the Joint German-Polish Textbook Commission and German-Czech Textbook Commission. He studied German Studies, History, and Education at Opole and Kiel universities (1994-1999), earned his PhD in 2016 with a study on Wojciech Korfanty's literary and memory politics, and completed postgraduate studies in interpreting at Jagiellonian University. His research focuses on Educational policy processes in East Central Europe Minority issues in border regions Transnational didactics Sports history as cultural memory Role of intellectuals in totalitarian systems Analysis of his 15 most recent publications reveals trends in German-Polish educational media collaboration, multi-perspective historical narratives, and borderland identity studies across disciplines like cultural geography and sports sociology. Key scientific achievements include the 2024 award for the German-Polish textbook series 'Europe – Our History' by the Polish Academy of Learning. He has led third-party funded projects like Hi-Story V (2022-2023) and Hi-Story III (2019-2020), while organizing major academic events including the 2024 European Forum for Reconciliation conference on Ukrainian history education. As a lecturer at TU Braunschweig and Magdeburg University (2010-2013), he shaped courses on transnational regionalism and multicultural borderland studies. His work bridges academic research with public engagement through book presentations, policy discussions, and media contributions.

• 3D Geoinformation Science
• Semantic Modeling
• BIM-GIS Integration
• +۳ مورد دیگر

Dr. Andreas Donaubauer is a researcher at the Chair of Geoinformatics (Prof. Kolbe) at the Technical University of Munich (TUM). With expertise in 3D geoinformation science , he focuses on semantic modeling, BIM-GIS integration, and digital twin technologies. Research Interests: Semantic 3D City/Landscape Modeling Model-Driven Architecture Geodesign Applications Spatial ETL Processes Interoperability Standards Recent Project Highlights: 2024: Twin4Clim (climate twins), 3D Site Plan for Building Applications; 2022-2024: TwinBy (digital twin infrastructure). Scientific Awards: Förderpreis des Runder Tisch GIS e.V. 2011 Förderpreis des Runder Tisch GIS e.V. 2010 As an active contributor to CityGML 3.0 and INSPIRE standardization efforts, he bridges geospatial data with infrastructure modeling. His work appears in journals like zfv and ISPRS Annals , focusing on urban sustainability and digital transformation.