Rate My Professor Uwe Roehm

Roehm's research interests encompass machine learning integrated with database systems, data management on multicore hardware, big data processing for bioinformatics, middle-tier caching and replication, and cloud data management. He is internationally recognized for contributions to database management systems, transaction processing, and scalable data analytics. Notable achievements include the ACM SIGMOD Test of Time Award in 2018 for the paper 'Serializable Isolation for Snapshot Databases' (co-authored with M.J. Cahill and A.D. Fekete, presented at SIGMOD 2008 and published in ACM TODS 2009, with 432 citations). Other key publications are 'FAS: A Freshness-Sensitive Coordination Middleware for a Cluster of OLAP Components' (VLDB 2002, 159 citations), 'The Cost of Serializability on Platforms that Use Snapshot Isolation' (ICDE 2008, 144 citations), and 'YCSB+T: Benchmarking Web-Scale Transactional Databases' (ICDEW 2014, 139 citations). His Google Scholar profile shows over 2,000 citations. Roehm has obtained Australian Research Council funding, such as Discovery Project DP0987900 ($279,580 in 2009), Linkage Project LP160100883 ($239,026 in 2016 with Prof. Alan Fekete and Dr. Michael Cahill), and Linkage Project LP0669685 ($75,950 with Microsoft Research). He has served in leadership roles including Proceedings Chair for VLDB 2011.