Themis is a professor in LIPADE, the computer science department of the Paris Descartes University and a director of the Data Intensive and Knowledge Oriented Systems (diNo) group. He is also very active in the data management and engineering community as Research Track Associate Editor for VLDB, Editor in Chief for the Big Data Research (BDR) journal, and Associate Editor for the Transactions on Knowledge and Data Engineering (TKDE) journal.
Professor Palpanas’ research is on problems related to online and offline data analytics (focusing on fast streams and massive collections). His group has world-leading expertise on time series management, indexing, and mining. Together they have developed the current state-of-the-art data series indexes, iSAX2+ (bulk loading) and ADS+ (adaptive indexing), the only data series query workload benchmark, as well as DSStat, a toolset for data series preprocessing and visualization.
They have applied their techniques on streaming and uncertain data series, and have worked with data from diverse domains, such as home networks, road tunnels, and manufacturing. The CrowdSignals.io data will significantly help their efforts in building efficient tools for the management and analysis of such data, as well as in delivering effective applications to end users for capitalizing on the data they produce.