جستجوی استاد راهنمای دانشگاهی

Thomas Neumannمشاهده پروفایل

استاد

• Database Systems
• Query Optimization
• Query Processing
• +۲ مورد دیگر

Thomas Neumann is a full-time Professor at the Department of Database Systems within the TUM School of Computation, Information and Technology at the Technical University of Munich . Research Focus : Query optimization and processing in database systems Hardware-aware database engine design Scalable RDF/semantic data management Hybrid OLTP/OLAP processing Join optimization algorithms Scientific Recognition : Gottfried Wilhelm Leibniz Prize (2020), Germany's most prestigious research award Academic Contributions : His recent publications focus on high-performance query execution strategies, hybrid transactional/analytical systems using virtual memory snapshots, and scalable graph processing techniques. These works demonstrate consistent advancements in database engine optimization for modern hardware architectures and large-scale semantic data management.

Alfons Kemperمشاهده پروفایل

استاد

• Database Systems
• Main-Memory Databases
• Distributed Database Systems
• +۴ مورد دیگر

Prof. Dr. Alfons Kemper is a Full Professor of Computer Science at Technische Universität München (TUM), leading the Chair of Database Systems (Computer Science III) within the School of Computation, Information and Technology. He has held academic roles since 1984, including Dean of the Faculty of Computer Science at TUM (2006–2010) and Head of the Department of Computer Science at TUM since 2022. His research focuses on optimizing database systems for distributed and main-memory environments, with contributions to query optimization, transaction management, and hybrid OLTP/OLAP systems. Education: M.Sc. (1981), Ph.D. (1984) from USC Los Angeles; Habilitation (1991) from Karlsruhe Institute of Technology. Research Interests: Main-memory database systems, distributed database architectures, query optimization techniques, and hardware-aware database designs. His work emphasizes leveraging modern hardware (e.g., HTM) and addressing data explosion challenges in both enterprise and scientific applications. Awards: ACM Fellow (2022), ICDE Ten-Year Influential Paper Award (2021), Fellow of GI (2016). Major publications include the seminal textbook Database Systems: An Introduction (10th ed., 2016) and foundational work on HyPer, a hybrid main-memory database system. Leadership: Organized VLDB 2017 in Munich, served as PC co-chair for ICDE 2017. Active in academic governance, including roles at the Free University of Bozen-Bolzano and TUM's Bavarian Elite Master Program in Software Engineering.

• Database Systems
• Distributed Computing
• Machine Learning
• +۳ مورد دیگر

Carsten Binnig is a researcher affiliated with TU Darmstadt, Germany, focusing on database systems, distributed computing, and machine learning integration. His work spans high-performance data management, query optimization, and hardware-software co-design for modern networks. He holds a PhD from Heidelberg University (2008) and has contributed extensively to conferences like SIGMOD, VLDB, and CIDR. His research emphasizes scalable OLTP/OLAP systems, secure cloud DBMSs, and leveraging GPUs/accelerators for database operations. Notable projects include GOLAP (GPU-accelerated OLAP), ScaleStore (storage engine using NVMe/RDMA), and DBMS Annihilator (workload generator). He co-leads initiatives on testing database systems (DBTest workshop) and benchmarks for shared databases.

Heming Cuiمشاهده پروفایل

دانشیار

• Distributed Systems
• Operating Systems
• Cloud Computing
• +۷ مورد دیگر

Dr. Heming Cui is an Associate Professor at the Department of Computer Science, University of Hong Kong, affiliated with the School of Computing and Data Science. He joined HKU in 2015 after completing his PhD at Columbia University, following bachelor's and master's degrees from Tsinghua University. His research focuses on distributed systems, operating systems, and high-performance computing, with a strong emphasis on reliability and security. Dr. Cui leads projects in distributed AI training systems, blockchain frameworks, and secure execution environments, collaborating closely with industries like Huawei. He has received notable awards including the Croucher Innovation Award (2016), HK$5 million RGC Research Impact Fund (2023), and best paper awards at ICSE and ACSAC. His work has led to commercialized systems such as Huawei's MindSpore integration of Fold3D and TICS' UTEE component derived from his secure systems research. Dr. Cui actively recruits PhD students specializing in systems security and database systems, prioritizing candidates with strong systems-building backgrounds. Key grants include leadership in projects totaling HK$30 million, including flagship collaborations with Huawei and RGC grants targeting transaction/analytical processing in edge computing and cloud security. His research spans over 50 publications in top venues like SOSP, NSDI, and IEEE journals, emphasizing reproducibility and industrial impact.

José Orlando Pereiraمشاهده پروفایل

دانشیار

• Dependable Distributed Systems
• Data Management
• Database Replication
• +۷ مورد دیگر

José Orlando Pereira is an Associate Professor at the Department of Informatics, University of Minho, and Research Coordinator at INESC TEC (INESC Technology and Science). His primary research interests lie in dependable distributed systems, with a focus on data management, group communication protocols, and tools for distributed system evaluation. He leads the High-Assurance Software Laboratory (HASLab) , part of INESC TEC and the University of Minho. Roles: Academic supervisor, conference committee member (e.g., SRDS 2025 General Co-Chair), and grant recipient (e.g., ADAPQO funding from CMU Portugal 2024). Key Projects: Includes CYBERACTIONING (cybersecurity education), EUMaster4HPC (European HPC master's program), and AIDA (adaptive assurance platform). Research Themes: Database replication, georeplicated systems, consensus protocols, edge computing, and fault injection tools like LAZYFS. His work emphasizes practical applications, such as improving transactional performance in hybrid workloads (TiQuE) and designing scalable NoSQL middleware (CloudMdsQL). He has authored over 200 publications, including seminal contributions to gossip protocols (HyParView) and consensus algorithms. Awards: Honorable Mention at ACM SIGMOD 2025 for CRDV research. Active in organizing conferences such as SRDS, DSN, and EuroSys. Teaching: Offers advanced courses on distributed systems, database administration, and large-scale data replication at both undergraduate and graduate levels.

• Database Systems
• Data Management
• In-Memory Computing
• +۵ مورد دیگر

Anil Goel is an Adjunct Professor with expertise in database systems, data management, and distributed computing. His work focuses on in-memory databases, transaction processing, and enterprise data infrastructure. He has contributed to projects like SAP HANA, emphasizing scalability and real-time analytics. Key research areas include columnar storage systems, log-structured data management, and distributed transaction protocols. His publications span from 2000 to 2022, with recent work addressing global data mesh architectures and composable data management frameworks. He has explored innovative methods for synthetic data generation, quorum-based replication, and lockless database operations. Despite his prolific output, no scientific awards or student advisement records are mentioned in the provided texts. His articles reflect a strong emphasis on optimizing database performance, durability, and scalability in both traditional and cloud-native environments.

• Data Management Systems
• Database Systems
• Operating Systems
• +۴ مورد دیگر

Prof. Jana Giceva Makreshanska is a Professor of Database Systems at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology and the Department of Computer Science. Her research focuses on systems support for data management, leveraging modern hardware architectures including operating systems, compilers, and computer architecture. She holds a PhD from ETH Zurich (2017) and previously served as faculty at Imperial College London. Notable awards include the ERC Starting Grant (2024), VMware Early Career Faculty Award (2019), and ETH Medal (2018). Education: PhD in Computer Science, ETH Zurich (2017) Research roles at Microsoft Research and Oracle Labs Research Interests: Her work addresses holistic system design challenges in data management, including optimizing query processing for modern hardware, compiler integration, and emerging architectures like chiplets. She explores efficient data processing techniques for big data and transactional systems. Recent Contributions: Her recent work includes innovations in disaggregated systems (HotOS 2023), chiplet-aware scheduling (2025), and universal graph data structures (VLDB 2022). Her publications span topics like NVMe array optimization, FPGA-based partitioning, and hybrid OLTP/OLAP systems. Awards: ERC Starting Grant (2024) Best Paper Runner-Up at VLDB 2022 ACM SIGMOD Highlights Award (2023) Teaching & Service: Current courses include 'Cloud-Based Data Processing' and 'Data Processing on Modern Hardware'. She chairs diversity initiatives at SoCC 2023, serves on program committees for OSDI, VLDB, and SIGMOD, and leads gender equality efforts at TUM. Labs/Teams: Maintains the Lehrstuhl III (I3) database systems group at TUM, collaborating on projects like LakeVilla and ARCAS.

Ashraf Aboulnagaمشاهده پروفایل

استاد

• Database Systems
• Cloud Computing
• Big Data
• +۳ مورد دیگر

Ashraf Aboulnaga is a Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA). He holds a Ph.D. in Computer Science from the University of Wisconsin-Madison and has held prior roles as Chief Scientist at the Qatar Computing Research Institute, Associate Professor at the University of Waterloo, and Research Staff Member at IBM Almaden Research Center. His research focuses on database systems, cloud computing, and graph analytics, with recent emphasis on cloud-native database architectures and scalable graph processing. Education: Ph.D. (2002), M.S. (1999) from University of Wisconsin-Madison; B.S./M.S. (1993/1996) from Alexandria University. Affiliations: ACM Distinguished Scientist (2015), IEEE Senior Member (2009). Research interests include cloud database systems, distributed transaction processing, and knowledge graph integration. He has authored over 100 publications in top venues like SIGMOD, VLDB, and ICDE, and received Best Paper Awards at SoCC 2015 and VLDB 2011. Grants: Current funding includes NSF travel support for ICDE 2024 and a $1.4M NSF MRI grant for DiscourseLab (2025). Past grants include DOE support for soil microbiome data integration. Service: Associate Editor for VLDB Journal, PVLDB, and Distributed and Parallel Databases. Served as Program Committee member for SIGMOD, ICDE, and EDBT. Industry collaborations include advising on cloud DBMS architectures and distributed systems.

• Database Systems
• Information Systems
• Distributed Systems
• +۹ مورد دیگر

Prof. Dr. rer. nat. habil. Gunter Saake is a full professor for Databases and Information Systems at the Otto von Guericke University Magdeburg since 1994. He holds a diploma (1985) and PhD (1988) from Technical University of Braunschweig, followed by a habilitation (1993). His roles include twice serving as Dean of the Faculty for Computer Science (2012 and 1996-1998). Research Focus: Database systems and query optimization Adaptive data management in heterogeneous hardware Graph databases integrating machine learning Software product lines and feature modeling High-performance computing and storage systems Current projects include LARDS (adaptive database engines), SMASH (storage engines for modern hierarchies), and EXPLANT (migrating software variants into product lines). His work addresses challenges like real-time OLTP/OLAP processing (COOPeR project), entity resolution under big data, and GPU-accelerated database operations. He has authored books on object-oriented modeling, databases, and Java. Collaborations: Active in EU projects (BRA working groups) and industry partnerships (e.g., MetaProteomeAnalyzer service). His research spans database theory, system architecture, and practical implementations across academia and industry.