T h e m i s   P a l p a n a s

H o m e     |     Teaching    |    Professional Service    |     Publications     


 


News

Invited seminar talk by Prof. Demetris Zeinalipour from Max Planck Institute for Informatics (Germany) & University of Cyprus (Cyprus), on "Building All k Nearest Neighbor Social Communities". Apr12 at 11:30am, in room Turing Reunion (7th floor).

Invited seminar talk by Prof. Albert Bifet from Telecom ParisTech (France), on "Massive Online Analytics for the Internet of Things (IoT)". Mar22 at 10am, in room Turing Reunion (7th floor).

Themis Palpanas is co-organizing the 2nd International Interdisciplinary Time Series Analysis Workshop on Dec12-13 at Paris Descartes University. Register (for free) until Dec7.

Currently serving as Associate Editor for VLDB 2017, Editor in Chief for BDR, and Associate Editor for TKDE. Submit your papers!


Contact Info

LIPADE - Paris Descartes Univ.
45 Rue Des Saints-Peres
Paris 75006
France

email: [first name] at "mi.parisdescartes.fr"

tel:  +33-(0)1-7653-0365

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


About Paris


Intro

I am a professor in LIPADE, the computer science department of the Paris Descartes University (member of the Sorbonne Paris Cite (USPC) consortium of universities), and a director of the Data Intensive and Knowledge Oriented Systems (diNo) group. I am Research Track Associate Editor for VLDB 2017, Editor in Chief for the Big Data Research (BDR) journal, and Associate Editor for the Transactions on Knowledge and Data Engineering (TKDE) journal.

In addition, I am organizing the Paris Descartes University Seminar Series on Data Analytics.

My research is on problems related to online and offline data analytics (focusing on fast streams and massive collections). It has been funded by the European Commission, CNRS, Facebook, IBM Research, Hewlett-Packard Labs, Telecom Italia, the Jacques Hadamard Mathematical Foundation (FMJH), and the Autonomous Province of Trento, 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 mining. We 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. 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.


Background

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.

I received my BSc degree from the National Technical University of Athens, Greece, and then received the MSc and PhD degrees from the University of Toronto, Canada.

Trivium: my Erdos Number is 3.

 

Research Interests

The topics that keep me busy:
  • Data Series Indexing and Mining
  • Data Management
  • Data Analytics
  • Streaming Data Processing
  • Objectivity Analysis
  • Semantic-Web Engineering

 

Students

I am constantly learning from my students:

 

Seminar Series on Data Analytics

The Paris Descartes University Seminar Series on Data Analytics regularly hosts prominent researchers in the general areas of data and information management, processing, and analysis.