جست‌وجوی استاد و پژوهشگر

Lars Bernardمشاهده پروفایل

استاد

• (Geo-)Information Infrastructures
• Geoinformation Usability
• Distributed Geoprocessing
• +۷ مورد دیگر

Lars Bernard is Full Professor for Geoinformatics at the Faculty of Environmental Sciences, Technische Universität Dresden since 2015. He also holds the position of Chief Digitalization and Information Management Officer (CDIO) at TU Dresden since 2020 and serves as member of the TUD Rectorate. PhD in Geoinformatics (University of Münster, 2001) Diploma in Physical Geography (University of Münster, 1995) His research focuses on (Geo-)Information Infrastructures , Distributed Geoprocessing , and Smart Environmental Monitoring . He has extensive experience in developing geospatial standards through roles in AGILE, EuroSDR, and INSPIRE initiatives. His publications demonstrate a consistent emphasis on: Metadata provision and data quality frameworks Interoperability solutions for geospatial systems Climate information service architectures User-driven provenance mechanisms As co-chair of RFII (2020-) and spokesperson for NFDI4Earth (2019-), he leads major German research data initiatives. He has advised numerous students and coordinated TU Dresden's Master Geoinformation Technologies program until 2018. Current leadership roles include serving on scientific editorial boards for Environmental Modelling & Software and International Journal of Spatial Data Infrastructures Research .

• Industry 4.0
• Manufacturing Automation
• Semantic Interoperability
• +۵ مورد دیگر

Prof. Jörg F. Wollert serves as Professor at Aachen University of Applied Sciences (FH Aachen), Germany, where he leads research within the MASKOR institute focusing on next-generation manufacturing systems. His academic career spans over two decades with continuous contributions to industrial automation, evolving from early wireless communication research to current Industry 4.0 leadership. Research focuses on semantic interoperability frameworks for field-level device integration, human-centered gamification in manufacturing workflows, and resilient multi-agent control systems for smart factories. His work bridges theoretical ontologies with practical implementations, emphasizing worker experience through VR training systems and digital assistance. Recent publications demonstrate growing emphasis on context-aware capability inference and adaptive production environments . Analysis of his 2022-2025 publications reveals three dominant trajectories: (1) Semantic architectures for field device interoperability (40% of recent work), (2) Gamification mechanisms enhancing human performance (35%), and (3) Multi-agent systems for production resilience (25%). His research consistently addresses the human-technology interface, with 70% of recent articles incorporating human factors considerations. As founder of the Wireless-Technologies-Kongress series (2006-2008), Prof. Wollert established early frameworks for industrial wireless communication now foundational to Industry 4.0. His MASKOR institute team develops practical implementations including the Digital Twin Academy initiative and IO-Link integration frameworks currently deployed in German manufacturing SMEs.

• Geographic Information Systems
• Knowledge Graphs
• Historical GIS
• +۳ مورد دیگر

Nathalie Abadie is a Researcher at the Geographic Information Science and Technology Laboratory (LaSTIG) within the National School of Geographic Sciences at the University of Paris-East. She leads research in geographic information science with a focus on knowledge capture, geohistorical data, and semantic web technologies. Her work bridges historical geography, digital humanities, and artificial intelligence. Her research interests include structured data matching with geographic reference datasets, creation of geohistorical knowledge graphs, and knowledge acquisition for geographic data. She develops methodologies for spatial named entity linking, multimodal image matching, and historical data integration, particularly applied to urban evolution studies of Paris from 1789-1950. Dr. Abadie's recent publications demonstrate trends in geohistorical knowledge graph construction, historical document analysis, and real-time geolocation applications. Her work increasingly integrates machine learning with traditional GIS techniques to address challenges in historical data processing and disaster response. She actively advises PhD students including Solenn Tual, Charly Bernard, and Helen Mair Rawsthorne, and has led major research projects such as SoDuCo (Study of Urban Spatial Structures Evolution) and Mezanno (Collaborative Annotation Tools). Her grants include CNRS-funded initiatives in digital humanities and geospatial AI. Dr. Abadie co-leads the STRUDEL research team and directs multiple national working groups including the CNRS GDR MAGIS commission on Geohistorical Knowledge Graphs. She organizes major conferences including the French Knowledge Engineering Conference and workshops on Digital Humanities and Artificial Intelligence.

Marie-Dominique Van Dammeمشاهده پروفایل

مدرس

• Geographic Information Systems (GIS)
• Spatial Data Integration
• Semantic Data Matching
• +۷ مورد دیگر

Marie-Dominique Van Damme is a Lecturer at the French National School of Geographic Sciences (ENSG), IGN's School of Geomatics, and is in charge of research and studies in the MEIG research team within the LASTIG research laboratory. She has been an IGN Teacher-Researcher at ENSG-Géomatique since August 2019, and from March 2025 will return to full research activities at LASTIG while continuing to teach programming with GIS, modeling, databases, and integration of heterogeneous data at ENSG. Dr. Van Damme earned her Computer Engineering degree with an information systems option from the National Conservatory of Arts and Crafts in 2010. Her professional experience includes: August 2019 – present: IGN Teacher-Researcher at ENSG-Géomatique May 2012 – July 2019: Research engineer at LASTIG, MEIG team May 2005 – April 2012: Project Manager at the National Forest Inventory June 2000 – April 2005: Web developer at Risc Group Her research focuses on semantic integration of heterogeneous geographic data, data matching, and the application of these techniques to mountain rescue scenarios. She has led and participated in several significant research projects including: CHOUCAS Project (ANR, 2017-2022): Multi-source semantic integration of landmark objects for mountain rescue LANDSENSE (H2020, 2016-2020): Crowd and community sourcing for land use monitoring UrCLIM (ERA4CS, 2017-2020): Retrieving land cover data for urban climate studies IntForOut (ANR, 2024-2027): Current project on trajectory analysis Dr. Van Damme has developed several software tools to support her research, including Tracklib (a Python library for GPS trajectory manipulation) and MultiCriteriaMatching (a Java library for multi-criteria data matching based on Belief Theory). Her recent publications show a strong focus on spatial data quality, landmark ontology development, mountain rescue applications, and the use of crowdsourced data for geographic information. The research trends indicate a progression from foundational work on data matching algorithms to applied research in emergency response scenarios, particularly mountain rescue operations. She has supervised numerous students including PhD candidate Mathieu Mehdi ZRHAL (defended 2023), research engineers, and multiple internship students working on geospatial projects related to mountain rescue, data integration, and GIS development. She has also led the pedagogical responsibility for the first-year master's degree in geomatics at Gustave Eiffel University from August 2019 to March 2025. Dr. Van Damme's work bridges theoretical research in geographic information science with practical applications in emergency response, demonstrating the real-world impact of geospatial technologies.

Paolo Ciancariniمشاهده پروفایل

استاد

• Complex Adaptive Software Architectures
• Semantic Web Technologies
• Software Engineering for Entertainment Computing
• +۱ مورد دیگر

Paolo Ciancarini is a Professor of Computer Science at the University of Bologna since 1992. He serves as a member of the Faculty of the PhD School in Computer Science and holds leadership roles as President of the Italian Association of University Professors in Computer Science and vice-Director of CINI (National Inter-University Consortium for Informatics). Education: PhD in Informatics from the University of Pisa (1988) His research focuses on complex adaptive software architectures , semantic web technologies , and software engineering for entertainment computing . He has led projects funded by the European Commission and Italian Government, contributing to domains like social robotics and data interoperability. Recent publications analyze trends in linked open data , self-citation practices , and altmetrics for research quality assessment. His work spans both theoretical and applied aspects of computer science, including collaborations on European research initiatives. Contact: paolo.ciancarini@unibo.it

• Linked Data
• Open Data
• Semantic Web
• +۶ مورد دیگر

Jakub Klímek is an Associate Professor at the Department of Software Engineering, Charles University. He is a leading researcher in Linked Data and Open Data technologies, with a focus on semantic interoperability, XML schema evolution, and data integration frameworks. Education: Habilitation Thesis: Improving data accessibility and interoperability using linked data Doctoral Thesis: XML Formats Evolution and Integration Master Thesis: XML Schema Evolution Bachelor Thesis: Linear Algebra His research spans semantic web technologies, dataset discovery, knowledge graph applications, and model-driven data engineering. Recent publications address technical and legal interoperability of European open data, context-enhanced similarity search, and data specification tools. Scientific Awards: BEST DEMO PAPER AWARD (ISWC 2024) BEST PAPER AWARD (iiWAS 2017) BEST STUDENT PAPER AWARD (APCCM 2013) BEST PAPER AWARD (EGOV 2013) Klímek contributes to practical applications through tools like UnifiedViews, LinkedPipes, and DataSpecer, collaborating with researchers including Petr Škoda, Martin Nečaský, and Jan Helmich. His work emphasizes real-world implementation of semantic data standards in public administration and enterprise systems.

• Clinical Informatics
• Artificial Intelligence in Healthcare
• Machine Learning Applications
• +۵ مورد دیگر

Dr. Thomas Durant is an Associate Professor of Laboratory Medicine at Yale School of Medicine with a secondary appointment in Biomedical Informatics & Data Science. He serves as Medical Director of Chemical Pathology and Laboratory Informatics at Yale-New Haven Hospital and Associate Director for the ACGME Chemical Pathology Fellowship. His dual expertise bridges clinical laboratory practice with cutting-edge informatics research. Dr. Durant's educational background includes: MD from University of Connecticut, School of Medicine (2015) MA in Physical Therapy from Quinnipiac University BA in Health Sciences from Quinnipiac University (2008) Winchester Clinical Microbiology Fellowship at Yale-New Haven Hospital (2019) Residency and Chief Residency at Yale-New Haven Hospital (2018) Board certified in Clinical Pathology (2018), Medical Microbiology (2019), and Clinical Informatics (2022), Dr. Durant's research focuses on practical applications of data science in laboratory medicine. His work centers on clinical informatics, quality care initiatives, and artificial intelligence applications including machine learning for automated image classification, quantum computing in healthcare, and laboratory data analytics. He investigates stream processing of interface data for sample identification and develops innovative data management technologies to improve laboratory operations and patient care. Analysis of Dr. Durant's publication record reveals a strong progression from traditional laboratory medicine into advanced computational methods. His recent work demonstrates expertise in ensemble learning for detecting IV fluid contamination, quantum computing applications, AI model verification protocols, and biomarker analysis for acute kidney injury prediction. The research spans multiple disciplines including clinical chemistry, informatics, and data science, addressing critical challenges in diagnostic medicine. Dr. Durant maintains extensive collaborations with Yale researchers including Wade Schulz (14 publications), Joe El-Khoury (10 publications), Harlan Krumholz (5 publications), and Richard Torres (4 publications). These partnerships support research on laboratory informatics, AI applications, and quality improvement initiatives that enhance diagnostic accuracy and healthcare delivery. As Medical Director of Laboratory IT Services, Dr. Durant oversees the technological infrastructure supporting laboratory operations at Yale-New Haven Hospital. His leadership in the Chemical Pathology Fellowship program trains future specialists, while his research continues to push the boundaries of how data science transforms diagnostic medicine.

Arooj Fatimaمشاهده پروفایل

مدرس ارشد

• Computer Science
• Semantic Web Technologies
• User Experience Design
• +۴ مورد دیگر

Dr. Arooj Fatima is a Senior Lecturer at the Medical Technology Research Centre, affiliated with the Faculty of Science and Engineering and the School of Computing and Information Science at Anglia Ruskin University. Her expertise spans Computer Science, Semantic Web Technologies, User Experience Design, and Artificial Intelligence. She teaches courses in user experience design, interaction design, usability, and advanced web solutions, while her research focuses on semantic data technologies, intelligent web applications, and usability evaluation. PhD in Computing, Anglia Ruskin University MSc in Computing, Anglia Ruskin University Her research explores semantic search, knowledge acquisition, effective user interfaces, and reliable usability evaluation techniques. Her publications highlight advancements in SPARQL query processing, federated query optimization, linked data integration, and AI-driven search frameworks. Arooj is a member of the Computing, Informatics and Applications Research Group and has over a decade of industry experience in web development, databases, APIs, and mobile applications. She welcomes prospective PhD students in her research areas and contributes to the university's BEng and MSc Computer Science programs. Her work bridges academic research with practical applications in semantic web technologies and user-centric design.

Thomas Devogeleمشاهده پروفایل

استاد

• Geographic Information Systems
• Spatio-temporal data mining
• Moving object analysis
• +۳ مورد دیگر

Thomas Devogele is a Professor at the University of Tours, France, where he serves as Head of the Computer Science Department within the Faculty of Sciences and Technology. He is also Head of the Master 2 in IT and apprenticeships program and deputy director of LIFAT (Tours Fundamental and Applied Computer Science Laboratory). His academic career spans more than two decades, having previously served as an Assistant Professor at the French Naval Academy from 1998 to 2010. His primary research focuses on Geographic Information Systems (GIS), spatio-temporal data mining, and moving object analysis. Dr. Devogele's work specializes in trajectory data-mining, similarity measures between lines or trajectories using Fréchet distance, classification and outlier detection of trajectories, and spatio-temporal database integration. He currently leads research projects DOPAN and PERSONAE. His recent publications (2021-2025) demonstrate an expansion of his research into cycling infrastructure analysis, blockchain applications for business processes, personalized web service recommendations, and health data narratives (particularly tuberculosis in Gabon), while maintaining his core expertise in trajectory analysis and spatial data. His work bridges theoretical computer science with practical applications in transportation, public health, and urban planning. Dr. Devogele has supervised numerous PhD students who have gone on to successful academic and industry careers, including Fournier Sébastien (Assistant Professor at Université de Provence), Noyon Valérie (Leader of GIS department at the city of Niort), and Etienne Laurent (Assistant Professor at Tours University). His teaching responsibilities include Software Engineering, Object-Oriented Programming (Java), Geographic Information Systems, Artificial Intelligence, and Database courses for Computer Science students at the Blois campus. He has made significant contributions to the field through his extensive publication record spanning from 1996 to the present.

Beatrice Markhoffمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Engineering
• Semantic Interoperability
• +۵ مورد دیگر

Beatrice Markhoff is a Professor of Computer Science (CNU 27) at the University of Tours , affiliated with the Faculty of Science and Technology (Blois site) and the Computer Science Department . She is a member of the UMR CNRS 7324 - CITERES - Archaeology and Territories Laboratory (CITERES-LAT) and the Maison des Sciences de l'Homme Val de Loire (MSH VdL) . Her research focuses on semantic interoperability , Web of data , knowledge representation , and knowledge extraction , with significant collaborations in cultural heritage disciplines . Doctorate in Computer Science, University of Franche-Comté (1995) HDR (Habilitation to Direct Research), François Rabelais University of Tours (2013) Her research themes include semantic interoperability, knowledge engineering, and data mining, with applications in cultural heritage. She co-created the International Workshop on Semantic Web for Cultural Heritage and co-edited special issues for the Semantic Web Journal and JOCCH . She leads projects like ANR SESAMES (2018-2023), H2020 ARIADNEplus (2019-2022), and H2020 4CH (2021-2023). Her academic contributions span XML data management, semantic web technologies, and functional programming. Key projects include carto4CH for cultural heritage mapping and OpenArchaeo for knowledge graph profiling. She has co-supervised PhD theses on topics like LOD querying and knowledge extraction from Wikidata .

Umar Mukhtar Ismailمشاهده پروفایل

مدرس ارشد

• Cyber Threat Intelligence
• Security and Privacy Requirement Engineering
• AI-enabled Cyber Security
• +۹ مورد دیگر

Dr. Umar Mukhtar Ismail serves as a Senior Lecturer in the Department of Computer Science and Digital Technologies at the University of East London's School of Architecture, Computing and Engineering. He leads the BSc (Hons) Cyber Security Networks and BSc (Hons) Cloud Computing programmes while teaching core modules including Cyber Security, Security Management, and Advanced Topics in Cyber Security. His research spans critical cybersecurity domains including AI-enabled threat intelligence, security requirement engineering, incident response frameworks, and cloud security management. He specializes in developing security solutions for critical infrastructure, healthcare systems, and supply chains using standards like ISO27001 and NIST frameworks, with particular focus on cyber resilience and threat modeling methodologies. Analysis of his 12 recent publications reveals consistent emphasis on creating structured security frameworks for cloud transparency, incident handling, and supply chain protection. His work increasingly integrates machine learning for malware detection and vulnerability prediction, demonstrating evolving expertise in adversarial AI analysis and ontology-based threat representation across healthcare and critical infrastructure contexts. Scientific recognition includes: Fellow of the Higher Education Academy Dr. Ismail actively contributes to European Union-funded research projects enhancing security in cyber-physical systems and healthcare infrastructure. He currently supervises MSc dissertations and PhD candidates while developing novel approaches to security transparency and audit frameworks, maintaining active collaborations through IEEE, BCS, and ISACA memberships.

• Digital Transformation
• Smart Communities
• Blockchain Technology
• +۷ مورد دیگر

David Buján Carballal is a Lecturer and Researcher at the Faculty of Engineering, University of Deusto, and a member of the MORElab 'Envisioning Future Internet' Research Group. He is affiliated with DeustoTech (Deusto Institute of Technology) and the Telefónica Deusto Chair. His academic career spans software engineering, semantic web technologies, and digital transformation. BSc in Computing, Faculty of Engineering, University of Deusto MSc in e-Business, University of Deusto PhD in Computer Sciences, University of Deusto Dr. Buján's research focuses on Digital Transformation for smart communities and rural areas, Blockchain Technology applications in traceability, and Cybersecurity solutions for connected industries. His work addresses Grid Computing , Semantic Web , and Context Modelling for tourism applications. Recent publications highlight his contributions to digital ecosystems for rural innovation, blockchain-based energy traceability, and cybersecurity frameworks for connected industries. His projects include EU-funded AURORAL , HAZITEK BLOCKCHAINFOOD , and collaborations with Accenture, Telefónica, and BBK. Scientific Contributions: Member of Deustek Research Group Program Committee member for CAEPIA workshops Article reviewer for IoT, Ubicomp, and Semantic Web conferences Dr. Buján has participated in numerous national and international conferences on semantic technologies, grid computing, and digital ecosystems. He contributes to academic governance through curriculum development and teaching innovation initiatives at the Faculty of Engineering.

Matthias Kluschمشاهده پروفایل

استاد

• Hybrid (Neuro-Symbolic) AI
• Quantum Artificial Intelligence
• Intelligent Agents
• +۵ مورد دیگر

PD Dr. Matthias Klusch is a Principal Researcher and DFKI Research Fellow at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken, where he heads the Intelligent Information Systems (I2S) research team within the Agents and Simulated Reality department. He holds the position of Private Docent (habilitated faculty member) in Computer Science at Saarland University, affiliated with the Faculty of Mathematics and Computer Science and the Computer Science Department at the Saarland Informatics Campus. Dr. Klusch earned his diploma and doctoral degree (PhD) from the University of Kiel and completed his habilitation in Computer Science at Saarland University. His academic journey includes positions as Adjunct Professor at Swinburne University of Technology in Melbourne, Assistant Professor at VU Amsterdam and TU Chemnitz, and Postdoctoral Researcher at Carnegie Mellon University. His research focuses on the intersection of cutting-edge AI paradigms, with particular emphasis on hybrid (neuro-symbolic) AI systems that combine the strengths of symbolic reasoning and machine learning approaches. He has pioneered work in quantum artificial intelligence for coordination and optimization problems, intelligent agent technologies, and semantic service coordination. His work bridges theoretical foundations with practical applications in autonomous systems, automotive technology, and smart information systems. Dr. Klusch's recent publications demonstrate a clear trajectory toward quantum-enhanced AI solutions, particularly in optimization, navigation, and coalition formation problems. His work increasingly integrates quantum computing principles with traditional AI techniques to address computational challenges that are intractable for classical approaches alone, showing particular promise in autonomous vehicle navigation, satellite networks, and complex regression problems. Finalist for the ACM SIGART Award for Excellence in Autonomous Agent Research (2008) As an active educator, Dr. Klusch has supervised numerous Master's theses and regularly teaches advanced seminars and courses at Saarland University on Quantum AI, Hybrid Learning and Reasoning, and AI for Autonomous Driving. He has led multiple significant research projects including QAI2/QAICO (Quantum AI for Automotive Industry), WELCOME (intelligent conversation agents for migrant integration), CREMA (cloud-based manufacturing), and MODEST (model-driven agents for semantic web services), with funding from the European Commission, German Federal Ministry of Education and Research (BMBF), and industry partners. Dr. Klusch leads the Intelligent Information Systems (I2S) research team at DFKI, which focuses on developing innovative approaches to intelligent data analysis and service coordination. His team actively participates in the Saarland Informatics Campus ecosystem, collaborating with researchers across multiple institutions on cutting-edge AI challenges, particularly in the emerging field of quantum AI applications.

• Telecommunications
• Network Security
• Computer Networks
• +۶ مورد دیگر

Prof. Christos Douligeris is a faculty member at the Department of Informatics of the University of Piraeus. He previously served as an Associate Professor at the University of Miami, USA, and holds a Diploma in Electrical Engineering (1984) from the National Technical University of Athens and a PhD (1990) from Columbia University. His career spans academia, industry, and policy-making, including leadership roles in Greek government agencies like Electronic Government S.A. and the Communications Privacy Authority. Diploma in Electrical Engineering, National Technical University of Athens (1984) MS, MPhil, PhD in Electrical Engineering, Columbia University (1985, 1987, 1990) His research focuses on computer networks, emphasizing security, protocols, and applications in precision agriculture, e-health, and IoT. He also explores the educational potential of information and communication technologies at all levels, from vocational training to higher education. His recent publications address cybersecurity in education, AI-driven threat landscape modeling, and immersive digital tools (AR/VR) for pedagogy and cultural heritage. Prof. Douligeris has received significant recognition, including the State Scholarship Foundation (IKY) award for transferring expertise from Greeks abroad to Greece (1987), a Fulbright scholarship (1988), and multiple honors for best work in telecommunications. His research has been funded by bodies such as the European Commission, National Science Foundation, and Greek General Secretariat for Research and Technology. He has supervised over 15 PhD theses and 100+ MSc theses, contributing extensively to academic training and mentorship. He co-authored the book Network Security: Current Status and Future Directions and edited special issues for the IEEE Communications Magazine. His work extends to policy development, curriculum design, and organizing international conferences in communications and security. Though not explicitly mentioning labs or teams, his activities include developing systems like NERO (Cybersecurity Awareness Ecosystem for SMEs) and ACSIS (Intelligent Medical System for Pre-hospital Healthcare).

• Knowledge Representation and Reasoning
• Description Logics
• Formal Concept Analysis
• +۳ مورد دیگر

Francesco Kriegel is a Postdoctoral Research and Teaching Associate at the Institute of Theoretical Computer Science within the Faculty of Computer Science at Dresden University of Technology. He is a key member of the International Center for Computational Logic (ICCL), working under Professor Franz Baader's research group. His academic journey began with Mathematics as his major (focusing on Algebra and Analysis) and Computer Science as his minor, culminating in a doctoral degree in 2019 with a dissertation on constructing and extending Description Logic ontologies using Formal Concept Analysis. Dr. Kriegel's research is deeply rooted in Knowledge Representation and Reasoning, with a particular focus on Description Logics (especially the EL family), ontology repair, and the integration of Formal Concept Analysis with Description Logics. His work has significantly advanced the field of ontology engineering through the development of optimal repair frameworks that preserve maximal consequences while removing errors. He has explored theoretical foundations such as the EL subsumption hierarchy's structure and navigational properties, while also developing practical applications for ontology construction and maintenance. His publication record from 2016-2025 reveals a consistent research trajectory focused on ontology repair mechanisms, with increasing sophistication in handling quantified ABoxes, hierarchical concrete domains, and interactive repair systems. The research demonstrates a clear progression from theoretical foundations to practical implementations, with recent work emphasizing user-centered approaches to ontology repair that balance theoretical optimality with practical usability. Best Paper Award at CLA 2015 Principal Investigator for DFG-funded project 'Construction and Repair of Description-logic Knowledge Bases' Research Associate at ScaDS.AI (Center for Scalable Data Analysis and Artificial Intelligence) Former Research Associate in DFG project 'Repairing Description Logic Ontologies' and CPEC (Center for Perspicuous Computing) Dr. Kriegel has been actively involved in teaching since his third semester and throughout his doctoral studies, primarily conducting tutorials for foundational and advanced computer science courses. In summer semester 2024, he delivered his first full lecture series 'Building and Maintaining Ontologies in the Description Logic EL', reflecting his expertise in the field. He serves on program committees for major AI conferences including IJCAI, AAAI, and KR, and reviews for prestigious journals such as Artificial Intelligence Journal and Journal of Artificial Intelligence Research.