جست‌وجوی استاد و پژوهشگر

Goran Soldarمشاهده پروفایل

مدرس ارشد

• Large Scale Data Processing
• Secure Computer Systems
• Machine Learning
• +۳ مورد دیگر

Goran Soldar is a Senior Lecturer at the University of Brighton, UK, affiliated with the School of Computing, Engineering and Mathematics. With over 20 years of higher education teaching experience, he specializes in programming, databases, operating systems, and enterprise middleware for large data processing. He leads several undergraduate and postgraduate computing courses and is involved in course design and student learning enhancement. Education: PhD, University of East Anglia (2008) MSc Distributed Systems, University of East London (1995) BSc (Hons) Information Systems, University of Belgrade (1985) Research Interests: Large-scale data processing frameworks Secure computer systems design Machine learning applications Transaction management in distributed systems Software engineering project management methodologies His work spans audio segmentation for health applications, agent-based risk management, and semantic web architectures. Research Trends: Recent work focuses on AI-driven healthcare diagnostics (e.g., cough analysis for disease detection) and automation of IT project risk management through multi-agent systems. Earlier contributions include foundational work in semantic web ontologies and distributed systems architectures. Collaborations: Co-led the Lankelma KTP project (2021-2023) focusing on geotechnical data analysis. Active in international conferences with publications in applied informatics, database systems, and semantic technologies. Teaching & Leadership: Course leader for multiple computing programs. Committed to innovative curriculum development and student-centered learning approaches.

François Lareauمشاهده پروفایل

استاد

• Computational Lexicology
• Multilingual Text Generation
• Collocations
• +۴ مورد دیگر

Professeur agrégé at the Department of Linguistics and Translation, Faculty of Arts and Sciences, Université de Montréal. Specializes in computational lexicology, multilingual text generation, and semantic-syntax interfaces. Serves as Director of the Observatoire de linguistique Sens-Texte (OLST). Holds a Ph.D. from Université de Montréal and Université Paris, with postdoctoral research at Macquarie University (Sydney), Universitat Pompeu Fabra (Barcelona), and Universität Stuttgart (Germany). Education: Ph.D. in Linguistics, Université de Montréal and Université Paris, 2008 Research Interests: Lexical semantics and morphology Automatic text generation Collocation processing Meaning-Text Theory applications Polarized Unification Grammar Key Grants/Projects (selected): Le lexique entre humains et machines , FRQSC grant (2025-2030), leading a multidisciplinary team Automatic generation of lexicographic definitions , SSHRC grant (2018-2023) Twitter-MPhon , SSHRC grant (2021-2025) analyzing morphophonological variation via social media Advising: Supervised over 20 graduate students since 2013, focusing on multilingual generation, collocation modeling, and computational lexicography. Labs/Teams: Directs OLST and collaborates with international networks like MARQUIS for environmental text generation systems.

• Semantic Web
• Knowledge Graphs
• Linked Data
• +۳ مورد دیگر

Pieter Heyvaert is a Postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and information systems (EA06), affiliated with IMEC. His research focuses on semantic web technologies, knowledge graphs, and linked data systems. Heyvaert's research interests span several areas within computer engineering and semantic technologies: Semantic Web and Linked Data technologies Knowledge Graph generation and validation RDF mapping languages (particularly RML) Data integration from heterogeneous sources Sensor data processing and knowledge extraction Anomaly detection and root cause analysis His publication record demonstrates a consistent focus on practical applications of semantic technologies. Heyvaert has developed tools like the SAD Generator for creating knowledge graphs from academic event data and contributed significantly to RML-based systems. His work bridges theoretical semantic web concepts with practical implementations that address real-world data integration challenges across domains including healthcare, social media archiving, and IoT systems. Heyvaert has collaborated extensively with researchers in the semantic web community, particularly with Anastasia Dimou, Ruben Verborgh, and Ben De Meester. His recent work shows increasing application of semantic technologies to pressing societal issues like pandemic response through the COVID-19 literature knowledge graph.

• Knowledge Graphs
• Machine Learning
• Semantic Web Technologies
• +۳ مورد دیگر

Bram Steenwinckel is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. He holds an FWO Junior Postdoctoral Fellowship and contributes to IMEC research projects. His work combines knowledge graphs with machine learning for explainable hybrid AI applications. FWO-funded projects on anomaly detection and knowledge graph embeddings Co-author on 15+ publications in semantic web, AI, and healthcare informatics Research focuses on integrating domain knowledge into machine learning pipelines Involvement in both academic research and applied engineering solutions His research explores knowledge graph creation for smart monitoring systems across healthcare and industrial domains. The INK methodology enables semantic rule mining while TALK provides context-aware activity recognition . Current work extends these approaches to zero-shot classification and automotive quality control . Scientific contributions include: Explainable knowledge graph embeddings Context-aware IoT data stream analysis Hybrid AI for ambulatory health monitoring Dynamic dashboarding architectures

• Computer Science
• Semantic Web
• Decentralized Data
• +۵ مورد دیگر

Dr. Ruben Taelman is a Senior Postdoctoral Fellow at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and Information Systems. His research focuses on decentralized web technologies, knowledge graphs, and query optimization in distributed environments. FWO Senior Postdoctoral Fellow (2023–2026) Research Foundation - Flanders (FWO) funding recipient Co-promotor for multiple PhD projects Key research areas include decentralized knowledge graph querying, adaptive query planning, and semantic web technologies. His work has produced groundbreaking publications on traversal-based query execution, link prioritization metrics, and personalized data vaults. Recent publications highlight: 2025: Incremental view maintenance in decentralized environments 2025: Restart-based query planning for link traversal 2024: Shape-driven optimization and Bloom filter applications 2023–2024: Reinforcement learning for SPARQL optimization and decentralized healthcare applications

Federico Pianzolaمشاهده پروفایل

استادیار

• Digital Social Reading
• Computational Literary Studies
• Cultural Analytics
• +۴ مورد دیگر

Federico Pianzola is an Assistant Professor in Computational Humanities at the Faculty of Arts, University of Groningen. He leads the ERC Starting Grant project GOLEM, focusing on narrative evolution through graphs and ontologies. His research bridges literary studies with computational methods, examining digital social reading platforms like Wattpad and fanfiction communities. He serves as Vice President of IGEL and on the scientific board of OPERAS. Research interests include narrative absorption models, virtual reality's impact on reading, and cultural analytics. He explores how readers interact with digital texts, using mixed-methods approaches. Notable projects include analyzing reader engagement on social platforms and developing ontologies for narrative representation. Recent publications (2024) highlight cross-cultural reader response analysis, gender dynamics in fanfiction, and knowledge graph applications for literary studies. His work integrates computational tools with humanities scholarship to advance understanding of narrative evolution and digital reading practices. Grants: ERC Starting Grant (GOLEM) Affiliations: OPERAS Scientific Board, IGEL Vice President Key Projects: GOLEM-Knowledge Graph, Linked-Potter Ontology

• Semantic Web
• Internet of Things
• Ontology Reasoning
• +۵ مورد دیگر

Floriano Scioscia is a researcher at the Polytechnic University of Bari, Department of Electrical Engineering and Information Technology, with extensive contributions to the Semantic Web, Internet of Things, and knowledge-based systems. His work focuses on developing frameworks for semantic reasoning, resource discovery, and intelligent systems in ubiquitous computing environments. His research interests span multiple domains within computer science: Semantic Web technologies and ontology reasoning Internet of Things and Cyber-Physical Systems Cloud-Edge computing architectures Knowledge representation and semantic matchmaker systems Mobile and ubiquitous computing applications Analysis of his recent publications (2023-2025) reveals a strong focus on edge-based semantic reasoning, with significant work on the Tiny-ME and Cowl frameworks for lightweight OWL reasoning on resource-constrained devices. His research has increasingly incorporated blockchain technologies into IoT systems and explored the concept of "Internet of Conscious Things" with social capabilities for smart objects. The interdisciplinary nature of his work bridges computer science with healthcare applications, particularly in clinical decision support systems. Dr. Scioscia has collaborated extensively with researchers including Michele Ruta, Eugenio Di Sciascio, Giuseppe Loseto, and Filippo Gramegna across numerous projects spanning more than 15 years of research output.

• Image processing
• 3D visualization
• Virtual Reality
• +۷ مورد دیگر

Prof. PhD Miroslav Nikolov Galabov is a Professor at the Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo in Bulgaria. His academic career spans several decades with significant contributions to computer science, particularly in the areas of 3D visualization, virtual and augmented reality, and image processing. He maintains active research collaborations and participates in multiple funded projects at the university. Professor Galabov's research interests focus on cutting-edge technologies including: Image processing and computer vision 3D visualization and modeling Virtual and Augmented Reality systems Microprocessor systems and embedded computing System programming and software architecture Multimedia systems and publishing technologies E-business applications and social network technologies His scholarly output demonstrates a clear evolution from foundational work in digital signal processing and image compression toward contemporary research in cloud infrastructure, semantic web technologies, and digital twin applications. Recent publications show a strong emphasis on practical implementations of AWS infrastructure, microservices architecture, and blockchain solutions for IoT systems. His work consistently bridges theoretical computer science with real-world applications across multiple domains including education, business, and cultural heritage preservation. Professor Galabov actively participates in significant research projects including: "Изследване и анализ на приложението на технологични инструменти и инфраструктура като креативна среда за трансфер на знания" (2025-2025) "Изследване, анализ и популяризиране на мобилни технологии и софтуерни приложения в полза на студенти със специални потребности" (2025-2025) "Изследване възможностите на технологиите за виртуална и добавена реалност за атрактивно представяне и популяризиране на българското фолклорно наследство" (2023-2023) Multiple projects related to 3D visualization, e-learning, and digital infrastructure development

Samira Si-Said Cherfiمشاهده پروفایل

استاد

• Data Quality
• Conceptual Modeling
• Ontology Engineering
• +۵ مورد دیگر

Samira Si-Said Cherfi is a Professor at the Centre d'études et de recherche en informatique et communications (CEDRIC) within the Conservatoire National des Arts et Métiers (CNAM) in Paris. With a research career spanning over 25 years, she has established herself as a leading expert in data quality, conceptual modeling, and ontology engineering. Her work bridges theoretical computer science with practical applications in healthcare systems, business process management, and knowledge representation. Her research interests focus on data quality assessment , conceptual modeling methodologies , ontology engineering for complex systems , and cyber-physical security in healthcare infrastructures . She has pioneered approaches for evaluating RDF data completeness, developing quality metrics for conceptual schemas, and creating ontologies for healthcare security. Her work demonstrates how formal modeling techniques can solve real-world problems in information systems. Analysis of her recent publications reveals a strong trend toward cyber-physical security and healthcare information systems , where she applies semantic technologies to address cascading effects in critical infrastructures. Her work consistently connects theoretical foundations in conceptual modeling with practical applications in knowledge graphs and data integration. She has made significant contributions to understanding how OWL semantics can be effectively utilized in RDF-based knowledge graphs. As an active member of the academic community, she has served as guest editor for special journal issues and contributed to major international conferences including RCIS, CAiSE, and EDOC. Her leadership in the field is evident through her editorial roles and collaborative research projects. Professor Si-Said Cherfi leads research within the CEDRIC laboratory, specifically contributing to the 'Complex data, machine learning and representations' and 'Data mining and statistics' research teams. Her work often involves interdisciplinary collaboration with healthcare professionals, security experts, and industry partners to address complex challenges in information systems security and data quality.

• Database Systems
• Natural Language Processing
• Knowledge Graphs
• +۱ مورد دیگر

Nicolas HIOT is a Post-doctoral fellow at the University of Orleans affiliated with the LIFO laboratory (Laboratoire d'Informatique Fondamentale d'Orléans) and the Pamda project. His research bridges database systems, natural language processing, and medical informatics with a focus on text-to-database integration and consistency maintenance. His research interests center on: Database Systems for medical applications with emphasis on consistency and evolution Natural Language Processing for clinical text analysis and relation extraction Knowledge Graph construction from unstructured textual data Medical Informatics applications for healthcare data management Analysis of his 15 most recent publications (2020-2024) reveals a cohesive research trajectory at the intersection of databases and NLP. Key thematic clusters include automated medical database construction from clinical texts, consistency management in evolving RDF/property graph systems, and clinical entity/relation extraction for knowledge graphs. His work consistently addresses real-world challenges in healthcare data integration through tools like DataFix and ArchiTXT, demonstrating strong translational potential. Nicolas HIOT actively contributes to the LIFO research laboratory at the University of Orleans, collaborating extensively with Jacques CHABIN, Mirian HALFELD-FERRARI, and Dominique LAURENT. His technical output includes multiple software systems for database evolution management and clinical text processing, reflecting both theoretical contributions and practical implementations in semantic data management.

• Biomedical Informatics
• Semantic Web
• Natural Language Processing
• +۳ مورد دیگر

Kei-Hoi Cheung is a Professor of Biomedical Informatics & Data Science and Professor of Biostatistics at Yale University School of Medicine. His primary appointment is in the Department of Biomedical Informatics & Data Science, with a secondary appointment in Biostatistics. He is also affiliated with multiple organizations including the Alzheimer's Disease Research Center, Computational Biology and Bioinformatics program, Emergency Medicine department, NIDA Neuroproteomics Center, Yale School of Public Health, and Yale Superfund Research Center. Dr. Cheung's research focuses on biomedical informatics with special emphasis on semantic web technologies, database integration, and natural language processing. His work centers on developing complex databases and informatics tools that enable robust interoperation and integration of bioscience data. He has established collaborations across numerous Yale departments including Genetics, Pathology, Computer Science, Biostatistics, Molecular Biophysics and Biochemistry, and Biology. His recent work explores how new data and metadata standards can be used to harmonize diverse environmental health information, using AI techniques like NLP to integrate data types and build environmental exposure knowledge graphs. His publication record spans two decades with a consistent focus on semantic web applications in biomedicine, evolving to include natural language processing techniques applied to clinical text analysis. His work demonstrates a clear trajectory from foundational semantic web research toward practical applications in clinical settings, particularly in the analysis of Veteran Administration electronic medical records. His research has significant implications for data standardization, integration across research centers, and facilitating data reuse by the wider scientific community. Dr. Cheung has served as Principal Investigator on multiple federal grants from NIH and NSF, and was Director of the Biostatistics and Bioinformatics Core of the NIDA Proteomics Center. He is a core faculty member of Yale's Ph.D. Program in Computational Biology and Bioinformatics and has co-edited two influential books: 'Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences' and 'Semantic e-Science'. He previously led the BioRDF task force (2008-2010) of the Semantic Web for Health Care and Life Sciences Interest Group, an international community focused on applying Semantic Web technologies in biomedicine.

Andreas Harthمشاهده پروفایل

استاد

• Decentralized information systems
• World Wide Web technologies
• Blockchain environments
• +۷ مورد دیگر

Prof. Dr. Andreas Harth holds the Chair of Business Information Systems, especially Technical Information Systems, at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has been a faculty member since 2018. He also serves as a department head at the Fraunhofer IIS-SCS in Nuremberg. His academic work spans both theoretical research and practical applications in decentralized information systems, with strong connections to industry through numerous collaborative projects. Harth completed an apprenticeship as a banker before studying computer science. He earned his doctorate from the Digital Enterprise Research Institute at the National University of Ireland, Galway, and completed his habilitation at the Karlsruhe Institute of Technology. His academic journey included teaching and research stays at the universities of Heidelberg, Innsbruck, Stanford, and Southern California, providing him with a global perspective on information systems research. His research focuses on developing methods and technologies for decentralized information systems found in the World Wide Web and blockchain environments, with applications in companies. He investigates data integration using Semantic Web and Linked Data technologies, process modeling languages, and their applications in the Internet of Things, Web of Things, and Industry 4.0 contexts. His work bridges theoretical computer science with practical business applications, particularly in data sovereignty and decentralized architectures. Analysis of his recent publications reveals a strong trend toward Solid protocol applications, knowledge graph technologies, and the integration of large language models with semantic web technologies. His research increasingly focuses on practical implementations in enterprise settings, healthcare data management, and manufacturing systems, demonstrating the real-world applicability of his theoretical work. As a member of FAU's research focus on Digitalization and Innovation, Harth collaborates with strategic partners including the Fraunhofer Institute for Information Systems (IIS) and major German industrial companies. His work contributes significantly to FAU's position as one of Germany's most research-intensive universities, particularly in the fields of business informatics and decentralized systems.

Rita Hartelمشاهده پروفایل

مدرس ارشد

• Data Compression
• Bioinformatics
• Graph Databases
• +۴ مورد دیگر

Dr. Rita Hartel serves as a Senior Lecturer and Research Associate in the Department of Databases and Electronic Commerce at the University of Paderborn's Institute of Computer Science, while also fulfilling the critical role of Academic Advisor for the Computer Science Student Office where she guides undergraduate and graduate students. Her research forms two distinct yet complementary pillars: cutting-edge data compression algorithms for bioinformatics (specializing in Burrows-Wheeler Transform optimizations for DNA sequence data) and graph databases (developing grammar-based compression for knowledge graphs), alongside innovative digital humanities work applying OCR and semantic analysis to comics historiography with a focus on German traditions. This interdisciplinary approach bridges computational rigor with cultural scholarship. Dr. Hartel demonstrates consistent research productivity with five publications from 2021-2025 in premier venues including the Data Compression Conference and specialized workshops. Her work reflects strong international collaboration patterns and likely benefits from active grant funding given the technical resources required for bioinformatics compression research. As an Academic Advisor, she provides essential student support while her dual research focus creates unique opportunities for students interested in either computational methods or digital humanities applications.

Moriba Jahمشاهده پروفایل

استاد

• Space Situational Awareness
• Space Traffic Management
• Computational Astronautics
• +۴ مورد دیگر

Dr. Moriba Jah is a Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin, where he holds the Mrs. Pearlie Dashiell Henderson Centennial Fellowship in Engineering. He serves as Director of the Jah Decision Intelligence Group (JDIG) within the Oden Institute for Computational Engineering and Sciences, and as Lead for the Space Security and Safety Program at the Robert Strauss Center for International Security and Law. Dr. Jah is also a member of the ICES Core Faculty and a Distinguished Scholar at the Robert Strauss Center. Dr. Jah's research focuses on computational astronautics and space situational awareness. His Jah Decision Intelligence Group works on: Non-gravitational Astrodynamics and Multi-body Orbital Dynamical Systems Modeling Multi-source Information Fusion and Multi-sensor/target Tracking Artificial Intelligence, Machine Learning, and Semantic Reasoning applications for space domain awareness Space Object Taxonomies, Classification, and "Biometric" Identification Methods Space Traffic and Debris Modeling, including Space Object Aging Effects Development of ASTRIAGraph, an RDF-based Knowledge Graph for Space Traffic monitoring Dr. Jah maintains an active publication record with numerous contributions to the field of space situational awareness and astrodynamics. His work bridges computer science, aerospace engineering, and international space policy, addressing critical challenges in space sustainability. Dr. Jah has received numerous honors and recognitions: Fellow of TED Fellow of American Institute of Aeronautics and Astronautics (AIAA) Fellow of American Astronautical Society (AAS) Fellow of International Association for the Advancement of Space Safety (IAASS) Fellow of Royal Astronomical Society (RAS) Fellow of Air Force Research Laboratory (AFRL) Elected Academician of the International Academy of Astronautics (IAA) Mrs. Pearlie Dashiell Henderson Centennial Fellowship in Engineering Dr. Jah has secured significant funding for his research, which has enabled him to establish the Jah Decision Intelligence Group and develop the Space Object Situation Room visualization laboratory. He mentors students and young professionals, with some receiving prestigious scholarships like the Secure World Foundation IAC Young Professionals Scholarship. Dr. Jah leads the Jah Decision Intelligence Group (JDIG), which is developing ASTRIAGraph - the first RDF-based Knowledge Graph for Space Traffic monitoring. His group is establishing a state-of-the-art visualization laboratory called the Space Object Situation Room to better understand relationships between objects in space and support decision-making processes for space traffic management.

• Computational Linguistics
• Corpus Linguistics
• Lexicography
• +۳ مورد دیگر

Sussi Olsen is an Academic Research Staff member (Researcher) in the Department of Nordic Studies and Linguistics at the University of Copenhagen, employed at the Center for Sprogteknologi (CST) since 1997. Her work centers on developing and validating linguistic resources for language technology applications. Education: Masters degree in Spanish and Computational Linguistics, University of Copenhagen Her research spans technological language resources, morphological/syntactic/semantic annotation, computational lexicography, corpus linguistics, and resource validation. She specializes in Danish language processing and EU-level language technology infrastructure, with expertise in historical Danish (19th century) and multilingual resource integration. Her work bridges theoretical linguistics and practical NLP applications. Recent publications (2023-2025) reveal a strategic focus on semantic resource development for Danish, including formal lexicons (COR.SEM), language model evaluation frameworks, and sign language-spoken language integration. These works demonstrate convergence between lexical semantics, benchmarking methodologies, and European language equality initiatives, particularly through EU-funded projects like the European Language Equality agenda. She actively contributes to EU language technology projects including the Central Word Register for Danish (COR), European Language Grid, Federated TermBank, and ELEXIS. Her project portfolio shows sustained engagement with terminology management, semantic annotation standards, and resource validation since 2008. She has presented extensively on historical Danish language processing and semantic annotation methodologies. Olsen is affiliated with the Center for Sprogteknologi and participates in the DigHumLab project. She holds governance roles as Member of the Board of Representatives and Board of Directors of the Danish Language Council, and formerly chaired the Society of Lexicographers in Denmark.