T h e m i s P a l p a n a s
Themis Palpanas has been elected in the VLDB Endowment Board of Trustees.
LIPADE - University of Paris
45 Rue Des Saints-Peres
Paris 75006, France
email: [first name] at "mi.parisdescartes.fr"
in person: once you arrive at the building, walk through the main entrance and straight ahead, make a right to the large hall (with the staircases), take the elevator to the 8th floor, make a left as you exit the elevator, and again left at the end of the corridor; my office is the last one on the right: 812K
I am a Senior Member of the French University Institute (IUF), a distinction that recognizes research excellence across all scientific disciplines.
I am organizing the University of Paris Seminar Series on Data Analytics.
My research is on problems related to data science, focusing on online and offline big data analytics and machine learning applications. It has been funded by the EU, IUF, CNRS, Facebook, IBM Research, HP Labs, Safran, Huawei, FMJH (supported by EDF and Thales), Telecom Italia, and PAT, and has led to an IBM Shared University Research Award, 3 Best Paper awards in international conferences, and 9 US Patents (3 are part of commercial systems).My group has world-leading expertise on data series (a.k.a. time series) management, indexing, and analysis, which we now integrate in the nestor project. We recently released our extensive experimental comparisons on exact and approximate data series similarity search (surprisingly, these techniques prove to be the methods of choice for general high-dimensional vectors, as well, under many different conditions). We have developed the current state-of-the-art data series indexes, iSAX2+ (bulk loading), DPiSAX (distributed), and ADS+ (adaptive), ParIS (modern hardware), MESSI (in-memory), Coconut (balanced data series index based on sortable summarizations) and Coconut-LSM (data series index for streaming data and queries in ad-hoc windows in the past), ULISSE (supporting variable-length queries), the only data series query workload benchmark, as well as DSStat, a toolset for data series preprocessing and visualization. We have applied our techniques on streaming and uncertain data series, and have worked with data from diverse domains, such as home networks, road tunnels, and manufacturing. In 2016, we organized the two editions of the International Interdisciplinary Workshop on Time Series Analysis (edition 1, edition 2), and in 2019, the Dagstuhl Seminar on Data Series Management, which attracted researchers and practitioners from computer science, astrophysics, neuroscience, music, engineering, and manufacturing.
I am a professor in LIPADE, the computer science department of the University of Paris, and a director of the Data Intensive and Knowledge Oriented Systems (diNo) group. I am Member of the Board of Trustees of the VLDB Endowment, Associate Editor for VLDB 2019, Editor in Chief for the Big Data Research (BDR) journal, and Associate Editor for the Transactions on Knowledge and Data Engineering (TKDE) journal.
I have been General Chair for VLDB 2013 (the premier international conference on very large databases), and a founder and director of dbTrento (the Data and Information Management Group of the University of Trento).
I have worked at the University of Trento, the IBM T.J. Watson Research Center, and at the University of California at Riverside. I have also held visiting researcher positions at the National University of Singapore, Microsoft Research, and the
IBM Almaden Research Center.
Trivium: my Erdos Number is 3.
Research InterestsThe topics that keep me busy:
StudentsI am constantly learning from my students:
Seminar Series on Data Analytics The University of Paris Seminar Series on Data Analytics regularly hosts prominent researchers in the general areas of data and information management, processing, and analysis.