جست‌وجوی استاد و پژوهشگر

• Database Systems
• Semantic Web
• Graph Databases
• +۳ مورد دیگر

Mirian HALFELD-FERRARI is a Professor at the University of Orleans , where she serves as Director of the Pamda Laboratory, member of the Sustainable Development Working Group, and International Relations Manager. Her research focuses on database systems, semantic web technologies, and graph data management. Key contributions include graph rewriting systems , RDF database evolution , and data consistency frameworks . Recent work explores clinical text-to-knowledge graphs , XML schema evolution , and context-driven urban data analysis . She collaborates with researchers across Europe on projects involving graph data science , service composition refinement , and semantic web sanitization . Her leadership roles include organizing workshops at conferences such as ADBIS and serving on editorial boards for international journals.

Dietmar Seipelمشاهده پروفایل

استاد

• Logic Programming
• Deductive Databases
• Knowledge Engineering
• +۵ مورد دیگر

Dietmar Seipel is a Professor at the University of Würzburg, affiliated with the Department of Computer Science within the Faculty of Mathematics and Computer Science. He has held this position since November 1995, establishing a distinguished academic career spanning over 25 years with significant contributions to logic-based computer science. Professor Seipel's research focuses on Logic Programming and Deductive Databases, with substantial expertise in Knowledge Engineering and Artificial Intelligence. His scholarly work bridges theoretical foundations with practical applications, particularly in rule-based systems, knowledge representation, and declarative programming paradigms. He has consistently advanced the field through both theoretical developments and practical implementations, creating tools that enable more effective knowledge management and reasoning systems. His publication trajectory demonstrates a clear evolution from foundational work in disjunctive logic programming to contemporary applications in knowledge representation and semantic technologies. Recent research shows continued innovation in integrating logic programming with modern programming languages and systems, including Python and JavaScript implementations. His work spans theoretical contributions to practical tool development, with applications across diverse domains including space systems, medical informatics, and business process management. Professor Seipel has made extensive contributions to the academic literature, with publications appearing consistently from the 1980s through to the present. His work has influenced both theoretical developments in logic programming and practical applications in knowledge-based systems. He has been actively involved in academic community building through conference organization, particularly for events related to declarative programming and knowledge management.

Dario Colazzoمشاهده پروفایل

استاد

• Databases
• Programming Languages
• Cloud Computing
• +۷ مورد دیگر

Dario Colazzo is a Professor at Université Paris-Dauphine, affiliated with the LAMSADE laboratory. His research focuses on database systems and programming languages, particularly in cloud databases, type systems for semi-structured data, and query processing optimizations. He has contributed extensively to XML and XQuery research, including parallel query execution and static analysis techniques. His teaching includes courses on programming (Java), UML, database systems, and semantic web technologies at both undergraduate and graduate levels (in French). Key research interests span XML/XQuery optimization, JSON processing, distributed systems, and type systems for safe and efficient data handling. His work emphasizes scalable cloud-based solutions and efficient query execution models. Publications highlight advancements in parallel query processing (e.g., PAXQuery), type-based optimizations for XML updates, and semantic graph analytics. He has collaborated with institutions like EDBT, WWW, and VLDB conferences.

David N. Jansenمشاهده پروفایل

دانشیار

• Computer Science
• Formal Methods
• Model Checking
• +۵ مورد دیگر

David N. Jansen is an Associate Professor at the Institute of Software , Chinese Academy of Sciences , Beijing, China. Previously, he held an Assistant Professor position at Radboud University Nijmegen (2007–2016) and a Postdoc role at RWTH Aachen University (2007). His work bridges academic research, software development, and international collaboration. Education : PhD in Computer Science from University of Twente (1998–2003); Diploma in Mathematics (with minors in Computer Science and Comparative Linguistics) from University of Bern (1990–1997); Certificate of Proficiency in English from University of Cambridge (2000). Research interests include stochastic model checking , UML extensions for probabilistic systems , Markov reward models , and formal verification of embedded systems . He has contributed to tools like MRMC and TCM , focusing on efficient data structures and lumping techniques for system validation. Publication trends show expertise in formal methods , probabilistic verification , and equivalence relations . His work spans automated analysis of probabilistic programs , stuttering equivalence algorithms , and applications to real-world systems like the European Train Control System. Leadership and Service : He has served on doctoral advisory boards (SIKS), supervised student projects (e.g., XML/XMI interface for TCM), and volunteered in Christian organizations. His technical skills include C, C++, UML, model checking, and database systems like MySQL.

Nikolaus Augstenمشاهده پروفایل

استاد

• Database Systems
• Data-Centric Applications
• Approximate Matching
• +۴ مورد دیگر

Prof. Nikolaus Augsten is a Professor and Head of the Database Research Group at the Department of Computer Science, University of Salzburg. He previously held positions at the Free University of Bozen-Bolzano, Italy, and visited Technische Universität München (TUM) and Washington State University. His research focuses on data-centric applications, approximate matching techniques for complex data structures, and efficient index structures for similarity search. Education: PhD from Aalborg University (Denmark, 2008), supervised by Prof. Michael Böhlen. Master's from Adam Mickiewicz University (Poland). Research interests include hierarchical data similarity (e.g., tree structures), scalable algorithms for tree edit distance, and applications in e-government and XML search engines. His work emphasizes practical solutions for tree-to-tree matching and similarity joins. Selected Awards: ICDE 2010 Best Paper Award for TASM: Top-k Approximate Subtree Matching Advising includes PhD student Mateusz Pawlik (thesis: Efficient Computation of the Tree Edit Distance). His group develops open-source tools like the RTED algorithm and approximate tree matching libraries. Labs/Teams: Database Research Group at University of Salzburg, collaborating on projects like Tree Edit Distance reference implementations and set similarity join algorithms.

David Wai-lok Cheungمشاهده پروفایل

استاد

• Database Systems
• Data Mining
• E-commerce Technologies
• +۵ مورد دیگر

Professor David Wai-lok Cheung is a Professor in the Department of Computer Science at the University of Hong Kong (HKU) and Director of the Center for E-commerce Infrastructure Development (CECID). He holds a BSc in Mathematics from the Chinese University of Hong Kong and MSc/PhD in Computer Science from Simon Fraser University, Canada. His research focuses on database systems, data mining, e-commerce technologies, and secure computation. Key contributions include pioneering work on privacy-preserving data mining, XML schema design, and e-commerce infrastructure development. He has led numerous prestigious grants totaling over HK$60M and developed widely adopted open-source tools like the ebXML gateway. Professor Cheung has received awards such as the HKU Outstanding Researcher Award (1999) and the Distinguished Contribution Award (2009 PAKDD). He actively contributes to academia through leadership roles in conferences like PAKDD and CIKM. His research spans secure computation, data interoperability, and bioinformatics, with over 150 publications in top venues like SIGMOD, VLDB, and KDD. **Grants & Funding**: Highlighted grants include HK$6.6M for eLogistics Appliance (2007-2008) and HK$9.198M for a service-oriented e-transaction platform (2006-2008). **Publications**: Over 150 papers in areas like privacy-preserving data mining, XML query processing, and spatiotemporal data analysis. **Service**: Member of RGC Engineering Panel, Hong Kong Deposit Protection Scheme board, and Certification Board for IT Professional Certification.

Dennis Riedمشاهده پروفایل

استادیار

• Music Philology
• Digital Musicology
• Digital Humanities
• +۴ مورد دیگر

Dennis Ried is a Junior Professor of Musicology with a focus on Music Editing and Digital Humanities at Martin Luther University Halle-Wittenberg, Department of Musicology within the Faculty of Philosophy II. His academic journey began with a Bachelor of Arts in German Studies (2010-2014) and Musicology (2014-2015), followed by a Master of Arts in Musicology (2015-2017), and culminated in his doctoral studies completed in December 2023 with a dissertation titled 'Half and Half' – Hybrid Edition as a Compromise? A Study on Methodology, Possibilities, and Limitations in Hybrid Music Editions Using the Example of Ludwig Baumann's 'Cantata. In Remembrance of the Fallen, for Consolation of the Mourners.' Dr. Ried's research focuses on Music Philology (Theory and Methodology of Edition, Hybrid Edition, Digital Catalogues), Digital Musicology/Digital Humanities, and the Edition of postal documents. His work bridges traditional musicological scholarship with cutting-edge digital methodologies, particularly in the development of tools for music edition and digital cataloging. He has made significant contributions to projects like Henze-Digital, the Reger Edition, and the Joachim Raff Archive portal. His publication record demonstrates a strong trend toward the intersection of musicology and digital humanities, with recent works focusing on digital catalogues, XML encoding standards (TEI and MEI), web applications for music edition, and metadata frameworks. His research consistently addresses the challenges of representing complex musical materials in digital environments while maintaining scholarly rigor. Dr. Ried has been actively involved in the academic community, serving as Vice-Chairman (2018-2022) and Chairman (2022-2023) of the Doctoral Students' Convention at the Karlsruhe University of Music, and organizing the Edirom-Summer-School since 2022. He is a member of several professional organizations including the Music Encoding Initiative, where he serves as Administrative Co-chair of the Metadata Interest Group. His technical expertise spans XML Encoding with TEI and MEI, XQuery, XSLT, ODD Schema, RelaxNG, Schematron, and various digital humanities tools. This technical proficiency enables him to develop sophisticated digital resources that advance musicological research while ensuring high-quality data management and scholarly presentation.

Bo Luoمشاهده پروفایل

استاد

• Machine Learning Security
• Internet of Things (IoT) Security
• Cyber-Physical Systems (CPS) Security
• +۶ مورد دیگر

Bo Luo is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas . He serves as Director of the High Assurance and Secure Systems (HASS) Research Center within the Institute for Information Sciences (I2S) , a National Center of Academic Excellence in Cyber Defense and Research by the National Security Agency. Education: Ph.D. in Information Sciences and Technology, Pennsylvania State University (2008) M.Phil. in Information Engineering, Chinese University of Hong Kong (2003) B.E. in Electronic and Information Engineering, University of Science and Technology of China (2001) His research focuses on security and privacy at the intersection of data science, AI/ML, IoT/CPS, and network security . Current projects include adversarial machine learning, privacy compliance in smart devices, and hardware-enabled security solutions. He leads the InfoSec Research Group , mentoring students in areas like IoT security, deep learning vulnerabilities, and cryptographic systems. Recent article trends highlight IoT device vulnerabilities (2025), privacy compliance in automotive apps (2024), adversarial AI-art detection (2024), and secure computation frameworks (2024). His work appears in top venues like ACM CCS , USENIX Security , and IEEE TDSC . Scientific Recognition: ACSAC 2021 Distinguished Paper Award ACSAC 2017 Best Paper Award CCS 2022 Best Paper Honorable Mention ICPC 2024 Distinguished Paper As Principal Investigator for the Jayhawk SFS CyberCorps Scholarship , he trains future cybersecurity professionals. His lab collaborates on cyber-physical security and AI safety , with alumni placed at institutions like Beloit College, Apple, and Amazon.

Werner Nuttمشاهده پروفایل

استاد

• Data Management
• Knowledge Representation
• Intelligent Information Extraction
• +۳ مورد دیگر

Werner Nutt is a Professor at the Free University of Bozen-Bolzano , Italy, affiliated with the Faculty of Computer Science since 2005. He previously held academic positions as a Reader at Heriot-Watt University (2000-2005), Visiting Professor at Hebrew University of Jerusalem, and Research Scientist at DFKI (1992-2000). Current Role: Professor, Free University of Bozen-Bolzano Past Roles: Reader (Heriot-Watt), Visiting Professor (Hebrew University), Research Scientist (DFKI) Research Interests focus on Data Management , Knowledge Representation , and Intelligent Information Extraction , with emphasis on modeling Construction Processes and ensuring Data Quality . His work bridges Semantic Web technologies with Business Process Management , notably through the COCkPiT project (2017-present) for construction process optimization. Key Contributions include foundational work on Query Completeness in databases, SPARQL Reasoning , and Semantic Diagnostics . He has published extensively in venues like ISWC , BPM , and CIKM , with an h-index of 35 on Google Scholar. His 154+ publications span topics from Probabilistic XML to Construction Process Modeling .

Steven Demurjianمشاهده پروفایل

استاد

• Software Engineering
• Cybersecurity
• Healthcare Informatics
• +۵ مورد دیگر

Steven Demurjian is a Professor at the University of Connecticut with expertise spanning software engineering, cybersecurity, cryptography, privacy, and distributed systems. His research primarily focuses on the intersection of healthcare information systems and security, with particular emphasis on the Fast Healthcare Interoperability Resources (FHIR) standard and various access control models. Dr. Demurjian's research interests include: Healthcare Information Systems and Interoperability Access Control Models (RBAC, MAC, LBAC) Security Engineering for Healthcare Applications Ontology Design and Development Software Engineering Approaches for Secure Systems Mobile Health (mHealth) Applications His recent scholarly work demonstrates a strong focus on applying security frameworks to healthcare data exchange, particularly through the FHIR standard. Dr. Demurjian has published extensively on extending FHIR with security features, developing access control mechanisms for healthcare data, and designing user-centered medication reconciliation applications. His research shows a consistent trajectory of addressing critical security and interoperability challenges in healthcare information systems, with an increasing emphasis on practical implementation frameworks that can be adopted by healthcare organizations. Dr. Demurjian has mentored numerous students and researchers in the fields of software engineering and cybersecurity, though specific names are not provided in the available information. His work has been supported by various research grants focused on healthcare information security and interoperability, though specific grant details are not mentioned in the provided materials.

Kerstin Schneiderمشاهده پروفایل

استاد

• Databases
• Data Engineering
• Workflow Management Systems
• +۴ مورد دیگر

Kerstin Schneider is a full-time Professor for Databases at Harz University of Applied Sciences since 2007. She operates within the Faculty of Automation and Informatics , focusing on database theory, data engineering, and AI-driven educational technology solutions. Current research emphasizes adaptive e-learning platforms (ALEA system) Interdisciplinary projects in AI Engineering (AiEng 2021-2025) Custom database applications for SMEs (TEA project) Her research interests span: Reliable workflow execution in distributed systems Multimedia information systems Semantic data recommendations Temporal XML database models Recent publications (2021–2017) highlight trends in: Academic database foundations Intelligent e-learning architectures Life science data analytics Historical data visualization Scientific Awards : 2004 Research and Innovation Award of the Rhine-Neckar Triangle Foundation She contributes to academic governance through roles in: Steering Committee for Fundamentals of Databases Examination Board AI Engineering Senate Deputy at Harz University Equal Opportunities Officer for AI Department Key collaborative projects include: APRICOTS (CORBA-based workflow systems) GEIST (Intelligent History Information Systems) Team projects with international universities Open Educational Resources (OER) development

Jan Hiddersمشاهده پروفایل

مدرس

• Graph Data Management
• Workflow Modelling
• Conceptual Data Models
• +۲ مورد دیگر

Jan Hidders is a Lecturer in the School of Computing and Mathematical Sciences at Birkbeck, University of London. He joined Birkbeck in 2020 after holding academic positions at Vrije Universiteit Brussel (Associate Professor, 2016–2020), Delft University of Technology (Assistant Professor, 2008–2016), and the University of Antwerp (Postdoctoral Researcher, 2001–2008). He holds a PhD from Eindhoven University of Technology (2001) and has industry teaching experience at Avans Hogeschool (1996–2001). Research Focus Hidders' research centers on three interconnected domains: Graph Data Management : Design of graph query languages, schema definition systems (PG-Schema), and theoretical properties like expressive power and optimization. He contributes to ISO standardization for SQL/GQL graph extensions. Workflow Modelling : Hierarchical decomposition of Petri nets for workflow correctness verification and orchestration of multi-actor systems. Conceptual Data Models : Formal semantics of ORM2 and its relationship to graph data models, including ORM-native DBMS design. His recent publications emphasize graph database schemas , threshold query optimization , and scalable data processing , reflecting his involvement in LDBC benchmarks and ISO standards. No awards are documented. Academic Roles Programme Director for MSc Computer Science at Birkbeck. Researcher at Birkbeck Knowledge Lab and Birkbeck Institute for Data Analytics. ACM and IEEE member since 2003 and 2006, respectively. He teaches Software Engineering II and Computer Systems , with 1 recorded PhD supervision.

• Data Mining
• Database Systems
• Machine Learning
• +۷ مورد دیگر

Jixue Liu is an Associate Professor at the School of Information Technology and Mathematical Sciences, University of South Australia, with a research focus spanning data mining, database systems, machine learning, and privacy-preserving technologies. His work bridges theoretical advancements with practical applications in remote sensing, social media analysis, and ethical AI. Education: PhD in Computer Science (Databases), 2001, University of South Australia Master by Research in Mining Engineering, 1987, Beijing University of Science and Technology Bachelor's in Mining Engineering, 1982, Xian University of Architecture and Technology Research interests center on causal inference (e.g., causal decision trees, front-door criterion), privacy-preserving data publishing (e.g., k-anonymity, composition attack mitigation), and machine learning for social media (e.g., adverse drug reaction detection, protest event prediction). Recent work explores algorithmic fairness and XML schema transformations. Article trends reveal expertise in causal modeling (2022-2024), with methodologies like variational autoencoders and instrumental variables, alongside privacy-preserving analytics and event detection systems . His interdisciplinary approach integrates computer science, statistics, and domain-specific applications in forestry and healthcare. Scientific awards include the Best Paper Award at ADC 2014. Major grants from ARC and CRC programs (2005-2023) highlight sustained funding for projects on entity resolution, causal rule mining, and fair predictive modeling. He supervises research degrees and teaches database management, XML databases, and data mining.

Andreas Pierisمشاهده پروفایل

مدرس

• Database Theory
• Knowledge-Enriched Data
• Uncertain Data
• +۶ مورد دیگر

Andreas Pieris is a Lecturer at the School of Informatics, University of Edinburgh, specializing in database theory with a focus on knowledge-enriched data, uncertain data, knowledge representation, and computational logic. He has held academic positions at Vienna University of Technology (Institute of Information Systems) and the University of Oxford (Department of Computer Science). His teaching includes the advanced course Advanced Topics in Foundations of Databases (ATFD) , covering relational query languages, XML databases, graph databases, and ontologies. Research Interests : Database theory, knowledge representation, computational logic, consistent query answering, and ontology-based data access. Collaborations : Extensive co-authorships with Marco Calautti, Ester Livshits, Markus Schneider, and others. Service : Regular participation in program committees of top-tier conferences like PODS, ICDT, IJCAI, AAAI, and KR. His recent publications analyze Datalog query provenance, chase termination algorithms, and consistent query answering under existential rules. He emphasizes the application of computational logic to database systems, leveraging complexity theory and automata for scalable solutions.

Yuqing Melanie Wuمشاهده پروفایل

استاد

• Data Management
• Query Languages
• Graph Databases
• +۴ مورد دیگر

Yuqing Melanie Wu is a Professor of Computer Science at Pomona College and is on leave for the 2025–2026 academic year. Her research spans database theory, query languages, and graph data management, with a focus on semi-structured and temporal data. Ph.D., University of Michigan, Ann Arbor MS, Indiana University, Bloomington MS/BA, Peking University, Beijing, China Her work explores query optimization for tree and graph structures, data representation, security in data repositories, and social media analytics. She has contributed to relation algebra formalisms, temporal clique enumeration, and semantic web applications in healthcare. Recent research trends include relation algebra on trees , graph query optimization , temporal data processing , and cross-platform social media analysis . American Council of Education Fellowship (2021–22) Pomona College Wig Distinguished Professorship (2021) Best Paper Award at 26th British National Conference on Databases (2009) Multiple teaching awards including Trustee’s Teaching Award and WIC Inspirational Teacher Award She has secured grants from the NSF ( $297,592 ), NIH ( $731,750 ), and Indiana University ( FRSP ), focusing on query processing, semantic web health technologies, and XML security.