Find Academic Supervisors

Raul Castro Fernandez is a prominent researcher in data management and database systems, with a focus on data discovery, integration, and marketplaces. He has collaborated extensively with leading institutions and researchers, contributing to projects like Data Station and Nexus for secure data sharing. His work bridges theoretical innovation with practical implementations in cloud optimization, differential privacy, and LLM-driven data tools. Key Contributions : Data market frameworks, LLM applications in databases, differential privacy platforms Collaborators : Yue Gong, Samuel Madden, Michael Stonebraker, Eugene Wu, Kyle Chard Research Themes Fernandez explores automated metadata management for data catalogs, spatiotemporal data sharing with privacy guarantees, and LLM-based data discovery . His work on stateful stream processing (e.g., SABER system) and cost optimization in cloud analytics shows technical depth. Recent Trends 2023-2025 publications highlight his pivot toward LLM applications in data management, including tabular data representation and hypothesis assessment tools. He also investigates sustainability in HPC through carbon credit systems.

• Data Management
• Database Systems
• Data Discovery
• +6 more

Aad P. A. van Moorsel is a faculty member at the School of Computing Science, University of Newcastle , with a focus on blockchain technology, cybersecurity, and privacy-preserving machine learning systems. His work bridges theoretical analysis with practical implementations in decentralized systems and financial technologies. Research Interests : Blockchain systems, smart contract security, federated learning, verifiable fairness in AI, and privacy-preserving technologies. Key Contributions : Development of the BlockSim simulation framework for blockchain, quantitative analysis of Ethereum's verifier dilemma, and frameworks for fairness-as-a-service in machine learning. Collaborations : Regularly works with researchers in cybersecurity (e.g., Mhairi Aitken, Ehsan Toreini), financial technology (e.g., Karen Elliott, Kovila Coopamootoo), and distributed systems (e.g., Han Wu, Lydia Chen). Publications : Over 170 works since 1992, with recent emphasis on blockchain scalability, AI ethics, and secure financial services. Tools : Co-designed OpBench for Ethereum opcode benchmarking and ADaCS for analyzing data collection strategies in security contexts.

• Blockchain Technology
• Distributed Systems
• Cybersecurity
• +3 more

Oscar Corcho is a Full Professor at the Department of Artificial Intelligence within the School of Computer Science at the Technical University of Madrid. He is a prominent member of the Ontology Engineering Group and has been serving as a Professor since May 2007, with his current position as Full Professor reflecting his significant contributions to the field. Professor Corcho's research primarily focuses on Ontology-based Data Integration and the application of Semantics in Open Science. His expertise extends across the broader domains of Semantic Web, Linked Data, Knowledge Graphs, and Ontological Engineering. His work bridges theoretical research with practical applications, particularly in data integration systems and knowledge representation frameworks. With over 460 publications and more than 12,000 citations, he has established himself as a leading researcher in semantic technologies. His recent publications show a strong emphasis on virtual knowledge graph architectures, RDF-star generation, semantic labeling techniques for tabular data, and applications of semantic technologies in scientific literature analysis. His research demonstrates a clear trajectory toward solving real-world data integration challenges across heterogeneous sources while advancing the theoretical foundations of knowledge representation. Third Spanish Award on Computer Science (2001) Beyond his academic role, Professor Corcho is a co-founder of LocaliData Spain, demonstrating his commitment to translating research into practical applications. He has supervised numerous research projects and has been instrumental in developing tools like Morph-KGC for knowledge graph construction. His work has significant implications for public procurement systems, transportation data integration, citizen science initiatives, and scientific research infrastructure. As leader of the Ontology Engineering Group, he oversees a research program that develops innovative methodologies for ontology engineering and semantic data integration across diverse domains. His group's work has influenced both academic research and industry practices in knowledge representation and semantic technologies.

• Ontology-based Data Integration
• Semantics in Open Science
• Semantic Web
• +6 more