جستجوی استاد راهنمای دانشگاهی

Bruno DEFUDEمشاهده پروفایل

استاد

• Cloud Computing
• Data Integration
• Process Mining
• +۴ مورد دیگر

Prof. Bruno Defude is a Professor at Telecom SudParis, part of the University of Paris-Saclay. He has been affiliated with the institution since 1992, holding roles such as lecturer-researcher, department director, and currently serves as Deputy Director of Research and Doctoral Training. He leads the ACMES studies initiative and focuses on interdisciplinary research in distributed systems, cloud computing, and educational technologies. Education: Doctorate in Computer Science (1986), Grenoble INP Habilitation à Diriger des Recherches (HDR) (2005), UPMC Research Interests: Prof. Defude's work spans cloud computing architectures, data integration challenges, process mining, sensor networks, and adaptive learning systems. His contributions emphasize scalable solutions for distributed environments and privacy-aware service composition. Recent Trends: Recent publications highlight advancements in natural language querying of process data, multi-objective task scheduling in fog computing, and spatio-temporal data aggregation in vehicular networks. His work bridges theoretical foundations with practical implementations in distributed systems. Labs/Teams: Director of ACMES studies, involved in interdisciplinary research collaborations across computer science and telecommunications domains.

Soon Myoung Chungمشاهده پروفایل

استاد

• Cloud Computing Security
• Hypervisor Security
• Parallel Computing
• +۸ مورد دیگر

Soon Myoung Chung is a computer science researcher with significant contributions in the areas of cloud computing security, parallel data clustering, and GPU-accelerated algorithms. The publications indicate long-standing research activity spanning from 2002 to at least 2022, suggesting sustained academic engagement. While no formal institutional affiliation is provided in the scraped content, the depth and consistency of work imply a faculty or research-oriented academic role. The research interests center around cloud security , especially hypervisor vulnerabilities and isolation breaches, parallel and distributed clustering algorithms for large-scale data, and 3D shape analysis using orthogonal moments. These fields reflect a strong focus on algorithmic efficiency, security in virtualized environments, and pattern recognition. The most recent articles show a trend toward leveraging GPU acceleration for real-time data processing in crisis management and enhancing anomaly detection in time series data. Earlier works emphasize foundational methods in association rule mining, text clustering, and combinatorial fusion for feature selection. Collectively, the publications demonstrate expertise in both theoretical algorithm design and practical implementation in high-performance computing contexts. Although no scientific awards are mentioned in the provided texts, the body of work has accumulated over 1,800 citations, indicating influence in the field. There is no information available about students advised, grants received, or leadership roles. No labs or collaborative teams are referenced in the scraped material.

• Semantic Web
• RDF
• SPARQL
• +۳ مورد دیگر

Louise Parkin serves as a Lecturer in the Department of Networks and Telecommunications at the University Institute of Technology of Blois (IUT Blois), University of Tours, with additional affiliations at the Polytechnic School of the University of Tours (EPU) and the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT). Her academic profile centers on advancing cooperative methods for knowledge base interrogation and semantic data management. Her research specializes in Semantic Web technologies, focusing on resolving critical challenges in RDF and SPARQL query processing including plethoric answer sets, unexpected results, and scalability limitations. She develops cooperative frameworks that enhance user interaction with knowledge bases like Wikidata through query explanation mechanisms, adaptive result filtering, and on-demand analysis architectures. Her work bridges theoretical database concepts with practical knowledge engineering applications. Within LIFAT laboratory, Parkin contributes to cutting-edge research in semantic data management systems. Her recent projects include Rankingdom's cooperative architecture for Wikidata analysis and scalable techniques for knowledge base exploitation, demonstrating sustained innovation in query processing methodologies from 2020 through 2025 publications.

• 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.

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.

Fadila Bentayebمشاهده پروفایل

دانشیار

• NoSQL Data Warehouses
• Text Warehousing
• Personalization & Recommendation Systems
• +۵ مورد دیگر

Fadila Bentayeb is an Associate Professor (HDR) at the University of Lyon 2, affiliated with the ERIC Laboratory and the Department of Informatics and Statistics (DIS). She leads the Complex Data Warehousing and OLAP research team (SID) and has served as Head of the first year of the Master's degree in Computer Science at the Institute of Communication (ICOM) since 2014. Her work bridges academic research and practical applications in data-intensive systems. HDR (Habilitation to Direct Research), University of Lyon 2 (2011) Ph.D. in Computer Science, University of Orléans (1998) Her research focuses on NoSQL data warehouses, text warehousing, and personalization systems, with emphasis on scalable architectures and context-aware analytics. Recent work explores AI-driven security in IoT networks and temporal modeling for evolving data structures. Key trends in her publications include: (1) Graph-based multidimensional modeling (GAMM framework), (2) Optimization of distributed big data warehouses using machine learning, (3) Medical text classification via hybrid CNN-LSTM models, and (4) Temporal data warehouse evolution. As part of the ERIC Laboratory’s leadership team, she contributes to strategic research directions and mentors students in advanced data systems. Her technical expertise extends to Hadoop/Spark optimization, OLAP cube design, and semantic integration of heterogeneous data sources.

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 .

Patrick MARCELمشاهده پروفایل

استاد

• Databases
• Exploratory Data Analysis
• OLAP
• +۴ مورد دیگر

Patrick MARCEL is a Full Professor at the Department of Computer Science, University of Orléans, and a member of the LIFO laboratory. He holds a PhD from INSA Lyon (1998) and a Habilitation à Diriger les Recherches from Université de Tours (2012). His research focuses on databases, exploratory data analysis, OLAP, data mining, and recommendation systems. He serves as an associate editor for the DKE journal and leads the Steering Committee of the DOLAP workshop, co-chairing in 2017 and 2021. Education: PhD in Computer Science, INSA Lyon, 1998 Habilitation à Diriger les Recherches, Université de Tours, 2012 Research Interests: Exploratory Data Analysis & OLAP Data Mining and Machine Learning Personalization and Recommendation Systems Context-Aware Data Quality Management Emotional Data Interaction His work emphasizes intention-driven analytics, cube query optimization, and narrative generation in business intelligence. Publications: Over 80 articles spanning OLAP systems, data quality, and recommendation techniques, with recent emphasis on emotional intelligence in query design and matheuristics for optimization problems. His 2024 work explores intentional aspects in data narratives and context-aware methodologies. Awards: None explicitly listed. However, his editorial roles and workshop leadership highlight peer recognition. Advising & Grants: No student names listed, but active in mentoring through research projects. His work is supported by collaborations with industry and academic partners. Labs & Teams: Member of the LIFO lab (Laboratoire d’Informatique Fondamentale d’Orléans), team Pamda. Engaged in interdisciplinary research on data platforms and analytical processing.

Jiasi Shenمشاهده پروفایل

استادیار

• Programming Languages
• Software Engineering
• Program Analysis
• +۳ مورد دیگر

Jiasi Shen is an Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology. She leads the HKUST Automated Reasoning and Transformation of Software research group. PhD and Master's from Massachusetts Institute of Technology Bachelor's from Peking University Her research focuses on automating software development through program analysis , program transformation , and active learning . She explores how to systematically introduce safety checks, optimize performance, and enable cross-platform adaptation while maintaining core functionality. Recent work includes: Dynamic graph-based fingerprinting for cryptomining detection Benchmarking LLMs for operating system verification tasks Improving program comprehension via deimplicitization techniques She has received the Distinguished Artifact Award at SLE 2017 and serves on program committees for OOPSLA, Onward!, and SPLASH conferences. Her group supervises multiple PhD and MPhil students while developing systems like Konure (database application modeling) and KumQuat (parallel Unix command synthesis).

Jolan PHILIPPEمشاهده پروفایل

مدرس

• Distributed Systems
• Infrastructure as Code (IaC)
• Model Driven Engineering
• +۵ مورد دیگر

Jolan PHILIPPE is a Lecturer at University of Orléans affiliated with LMV research laboratory, and currently holds a postdoctoral position at Université de Rennes in the DiverSE team under the supervision of Olivier Barais. His research focuses on Infrastructure as Code (IaC) and distributed systems reconfiguration, with particular emphasis on formal methods and model-driven approaches. His primary research interests include: Distributed Systems and Cloud Computing Infrastructure as Code (IaC) and DevOps Model Driven Engineering Formal Methods and Verification Parallel and Distributed Programming Algorithmic Skeletons Dr. PHILIPPE's work demonstrates a strong trajectory from foundational research in parallel programming models (particularly through his work on PySke) to applied research in distributed system reconfiguration. His recent publications show increasing focus on formal approaches to infrastructure management, with significant contributions to languages like Concerto-D and frameworks like Ballet for cross-DevOps reconfiguration. His research bridges theoretical computer science (formal methods, verification) with practical cloud infrastructure concerns. He is actively supervising two PhD candidates: Haitam El Hayani (Taranis project, 2024-2027) - Extending Infrastructure as Code (IaC) languages, focusing on enhancing capabilities and integration with modern cloud deployment practices Olivia Proust (For-Coala project, 2025-2028) - Towards formally verified configuration management languages Dr. PHILIPPE is deeply involved in research coordination: Coordinator of the "Défi GDR GPL" (challenge) ADDYCT (ADaptation DYnamique et ConTinue) for 2026-2030 One of the leaders of the GDR GPL's GT SyLA (Groupe de Travail - Système Logiciel Adaptable) since February 2025 Helped organize the VELVET (Verification and Software Engineering for DevOps and Reconfiguration) days in Nantes, December 2023 His service to the academic community includes: Program Committee Member for DebConf 2025, ICCS 2025, LowCode@MODELS 2025 Publicity Chair and Program Committee Member for UCC 2025 and BDCAT 2025 Reviewer for journals (COLA, SoSyM) and multiple international conferences

Aikaterini TZOMPANAKIمشاهده پروفایل

استادیار

• Data Privacy
• Database Systems
• Query Optimization
• +۶ مورد دیگر

Aikaterini TZOMPANAKI is an Assistant Professor and associated member of the ACMES team at Télécom SudParis. Her research focuses on database systems, data privacy, query optimization, and provenance analysis. She has contributed to topics such as differential privacy, SQL debugging, and explainability in data streaming and collaborative filtering. Education: PhD in Database Systems from Université Paris Saclay (2015), titled 'Missing Answers: Debugging and Repairing Queries.' Research Interests: Privacy-preserving data publishing and differential privacy for time series. Why-Not Questions and provenance-based explanations for queries and collaborative systems. SQL query refinement and automatic debugging techniques. Pattern matching and visualization of regular expressions. Key Trends in Articles: Focus on privacy and security in dynamic data environments. Advancement of query explainability and provenance systems. Integration of machine learning in database systems and recommender systems. Awards: No scientific awards explicitly mentioned. Grants & Advising: No grants or student advising details provided in the text. She is affiliated with the SAMOVAR research laboratory at Télécom SudParis.

• Semantic Data Integration
• Ontology-based Database Design
• Big Data & Cloud Computing
• +۵ مورد دیگر

Ladjel Bellatreche is a Full Professor at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA) in Poitiers, France, where he has been a faculty member since September 2010. He leads the Data and Model Engineering Team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS). Prior to his current position, he spent eight years as Assistant and then Associate Professor at Poitiers University. His academic journey includes visiting positions at Université du Québec en Outaouais (Canada), Purdue University (USA), and Hong Kong University of Science and Technology (China). Professor Bellatreche's research interests span multiple domains in data management and engineering, with a focus on Semantic Data Integration, Ontology-based Database Design, Life Cycle of Extremely Large Database Design, Big Data & Cloud Computing, Green Computing, and Database Deployment. His work bridges theoretical foundations with practical applications in data-intensive systems. His publications reflect a strong trend toward addressing challenges in big data analytics, semantic data integration, and energy-efficient database systems. The research demonstrates a progression from traditional data warehousing techniques to more advanced approaches incorporating semantic web technologies, linked open data, and green computing principles. His work increasingly focuses on scalability, efficiency, and the integration of diverse data sources. Professor Bellatreche has received recognition through his service as an Editorial Board Member for the International Journal of Reasoning-based Intelligent Systems and as subject area editor of the Scalable Computing Journal. He has also served as a reviewer for prestigious journals including IEEE TKDE and Distributed and Parallel Database Journal. His leadership extends to organizing major international conferences such as DAWAK, DOLAP, MEDI, and WISE. With over forty program committee memberships, he plays a significant role in shaping research directions in data management. Additionally, he actively promotes research in Africa and Asia through student supervision and conference organization.

• Formal Methods
• Graph Databases
• Database Theory
• +۴ مورد دیگر

Ştefania-Gabriela Dumbravă is an Associate Professor in Computer Science at the École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE), part of Institut Polytechnique de Paris. She leads the ACMES team at Samovar Laboratory (Télécom SudParis) and participates in international working groups including the Property Graph Schema Working Group and European Research Network on Formal Proofs. Education: PhD in Computer Science, Université Paris-Sud (2016) MSc in Computer Science, Jacobs University Bremen (2012) BSc in Mathematics, Jacobs University Bremen (2010) Research Focus: Her work centers on formal methods for designing and verifying graph database algorithms, with emphasis on: certified database engines, property graph schemas, threshold queries, progressive querying techniques, and knowledge graph evolution. She integrates theorem proving (Coq/Isabelle) with practical database applications. Publication Trends: Her recent works demonstrate strong focus on graph database foundations (schemas, query processing) and practical verification techniques. Publications frequently appear in top-tier venues (VLDB, SIGMOD, ICDE) and emphasize both theoretical rigor and real-world applications in areas like bioinformatics, transportation, and networking. Awards & Honors: EASST Best Software Science Paper (ICGT 2025) ICDE/SIGMOD Distinguished Reviewer Awards (2025) SIGMOD Best Paper & Research Highlight (2023) VLDB Best Paper Runner-Up (2022) Students & Grants: Supervises Master's interns on graph database applications. Leads the ANR JCJC VERDI project (2025-2029) on verified distributed graph systems. Actively recruits PhD candidates for this initiative. Labs & Service: ACMES team at Samovar Lab. Serves on editorial boards (TODS, TGDK) and program committees (VLDB, SIGMOD, ICDE). Coordinates VLDB 2026 Demonstrations Track and co-organizes multiple workshops (GRADES-NDA, TGD).

Olivier Gauwinمشاهده پروفایل

استادیار

• Automata Theory
• Formal Languages
• Logic in Computer Science
• +۶ مورد دیگر

Olivier Gauwin serves as an Assistant Professor at the University of Bordeaux, holding dual roles in academic instruction and research. He teaches within the Computer Science Department at the University Institute of Technology (IUT), while conducting research as a core member of LaBRI's Numeric and Sustainability team. His institutional presence spans both the IUT campus in Gradignan (office 111) and LaBRI's research facilities in Talence (office 311), reflecting his integrated contributions to theoretical computer science and applied sustainability initiatives. His educational trajectory demonstrates deep theoretical foundations: Habilitation à diriger des recherches (HDR) from University of Bordeaux (2020) titled Transductions: resources and characterization PhD in Computer Science from Université Lille 1 (2009) titled Streaming Tree Automata and XPath , conducted at LIFL/INRIA Master's degree (DEA) from Centre de Recherche en Informatique de Lens (2004) titled Fusion itérée de croyances Gauwin's research program bridges abstract theory and practical applications, with early work establishing fundamental results in automata theory for XML stream processing. His investigations into visibly pushdown automata, nested words, and transducers created novel frameworks for efficient query answering in data streams. Recent years show strategic expansion into sustainability, where he adapts formal methods to environmental modeling challenges. This evolution maintains rigorous theoretical grounding while addressing contemporary computational sustainability needs through the Numeric and Sustainability team. Analysis of his 15 most recent publications reveals consistent methodological excellence across theoretical computer science. Core themes include automata minimization (notably proving NP-completeness for visibly pushdown automata), logical characterizations of transductions, and streamability analysis for nested structures. His work demonstrates exceptional coherence—advancing from foundational XML processing (2008-2013) to resource-optimized transducers (2015-2018) and current sustainability applications, always maintaining focus on computational efficiency and formal verifiability. Dr. Gauwin actively mentors the next generation of computer scientists: Supervised PhD completion of Nathan Lhote (2015-2018) on logical characterizations of transductions Guided PhD research of Félix Baschenis (2014-2017) on transducer minimization and resource optimization His research is institutionally supported through LaBRI (UMR 5800), a joint CNRS-University of Bordeaux laboratory, though specific external grants aren't detailed in available materials. Current work continues through the Numeric and Sustainability team, where he integrates automata theory with environmental computation challenges in collaborative projects spanning theoretical innovation and real-world sustainability applications.

• Algorithms
• Databases
• Programming Languages
• +۳ مورد دیگر

Louis Jachiet is an Assistant Professor in Computer Science at Télécom Paris, affiliated with the Data, Intelligence and Graphs (DIG) team within the Information Processing and Communication Laboratory (LTCI) and the Computer Sciences and Networks (Infres) department. His research focuses on algorithms, databases, programming languages, and logic. His work spans query optimization distributed SPARQL evaluation graph algorithms formal language theory program synthesis data provenance with a strong emphasis on bridging theoretical and applied research. Analysis of his publications reveals expertise in database systems graph processing automata theory query enumeration SPARQL optimization probabilistic databases across both theoretical and practical applications.