Kostas Zoumpatianos | Harvard University (DASLab)

Kostas Zoumpatianos

Postdoctoral Fellow

Harvard University

Kostas Zoumpatianos

I am a Marie Curie Individual Fellow between Harvard University and University of Paris V (Paris Descartes).

I received my PhD from the University of Trento. My research involves topics related to management of big data series collections, adaptive data systems and data structure synthesis.

I have spent (wonderful) time as an intern at Cornell University (2013) and at Harvard University (2014, 2015).

In another life, I have also worked as a Software Engineer and Consultant.

Research Interests

Databases of data-series and benchmarking
Adaptive data systems and data structure synthesis

Projects

Courses

CS165 (Data Systems) Fall 2018 | Teaching Fellow
CS265 (Big Data Systems) Spring 2018 | Teaching Fellow
CS165 (Data Systems) Fall 2017 | Teaching Fellow
CS265 (Big Data Systems) Spring 2017 | Teaching Fellow

Selected Publications

2020

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search
,

Karima Echihabi
,
Kostas Zoumpatianos
,
Themis Palpanas
,
Houda Benbrahim
,

46th International Conference on Very Large Databases (VLDB)
,
Tokyo
,
Japan
,
2020

Accepted for publication

2019

Coconut: Sortable Summarizations for Scalable Indexes over Static and Streaming Data Series
,

Haridimos Kondylakis
,
Niv Dayan
,
Kostas Zoumpatianos
,
Themis Palpanas
,

International Journal on Very Large Data Bases (VLDBJ)
,
2019

Accepted for publication
Learning Data Structure Alchemy
,

Stratos Idreos
,
Kostas Zoumpatianos
,
Subarna Chatterjee
,
Wilson Qin
,
Abdul Wasay
,
Brian Hentschel
,
Michael S. Kester
,
Niv Dayan
,
Demi Guo
,
Minseo Kang
,
Yiyou Sun
,

Bulletin of the Technical Committee on Data Engineering (IEEE Data Eng. Bull.)
,
2019
The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art
,

Karima Echihabi
,
Kostas Zoumpatianos
,
Themis Palpanas
,
Houda Benbrahim
,

45th International Conference on Very Large Databases (VLDB)
,
Los Angeles
,
USA
,
2019
Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm
,

Haridimos Kondylakis
,
Niv Dayan
,
Kostas Zoumpatianos
,
Themis Palpanas
,

ACM International Conference on Management of Data (SIGMOD)
,
Amsterdam
,
Netherlands
,
2019

2018

The Periodic Table of Data Structures
,

Stratos Idreos
,
Kostas Zoumpatianos
,
Manos Athanassoulis
,
Niv Dayan
,
Brian Hentschel
,
Michael S. Kester
,
Demi Guo
,
Lukas Maas
,
Wilson Qin
,
Abdul Wasay
,
Yiyou Sun
,

Bulletin of the Technical Committee on Data Engineering (IEEE Data Eng. Bull.)
,
2018
Generating Data Series Query Workloads
,

Kostas Zoumpatianos
,
Yin Lou
,
Ioana Ileana
,
Themis Palpanas
,
Johannes Gehrke
,

International Journal on Very Large Data Bases (VLDBJ)
,
2018
The Data Calculator: Data Structure Design and Cost Synthesis From First Principles, and Learned Cost Models
,

Stratos Idreos
,
Kostas Zoumpatianos
,
Brian Hentshcel
,
Michael Kester
,
Demi Guo
,

ACM

International Conference on Management of Data (SIGMOD)
,
Houston
,
TX, USA
,
2018
Data Series Management: Fulfilling the Need for Big Sequence Analytics
,

Kostas Zoumpatianos
,
Themis Palpanas
,

IEEE

International Conference on Data Engineering (ICDE)
,
Paris
,
France
,
2018
Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes
,

Haridimos Kondylakis
,
Niv Dayan
,
Kostas Zoumpatianos
,
Themis Palpanas
,

44th International Conference on Very Large Databases (VLDB)
,
Rio de Janeiro
,
Brazil
,
2018

2016

ADS: The Adaptive Data Series Index
,

Kostas Zoumpatianos
,
Stratos Idreos
,
Themis Palpanas
,

International Journal on Very Large Data Bases (VLDBJ), Volume 25, Issue 6, pp 843-866,

Springer
,
2016
Past and Future Steps for Adaptive Storage Data Systems: From Shallow to Deep Adaptivity
,

Stratos Idreos
,
Manos Athanassoulis
,
Niv Dayan
,
Demi Guo
,
Mike S. Kester
,
Lukas Maas
,
Kostas Zoumpatianos
,

The 10th International Workshop on Enabling Real-Time Business Intelligence (BIRTE), held in conjunction with VLDB,

New Delhi
,
India
,
2016
.

2015

Monitoring business goals with Argus (showcase)
,

Alejandro Mate
,
Juan Trujillo
,
Elvis Koci
,
Konstantinos Zoumpatianos
,
John Mylopoulos
,

IBM

International Center for Advance Studies Research Conference (CASCON)
,
Toronto
,
Ontario
,
Canada
,
2015
.
Best Technology Showcase Award
RINSE: Interactive Data Series Exploration
,

Kostas Zoumpatianos
,
Stratos Idreos
,
Themis Palpanas
,

41st International Conference on Very Large Databases (VLDB)
,
Kohala Coast, Hawaii
,
USA
,
2015
Query Workloads for Data Series Indexes
,

Kostas Zoumpatianos
,
Yin Lou
,
Themis Palpanas
,
Johannes Gehrke
,

ACM

International Conference on Knowledge Discovery and Data Mining (KDD)
,
Sydney
,
Australia
,
2015

2014

A Systematic Approach for Dynamic Targeted Monitoring of KPIs
,

Alejandro Mate
,
Kostas Zoumpatianos
,
Themis Palpanas
,
Juan Trujillo
,
John Mylopoulos
,
Elvis Koci

IBM

International Center for Advance Studies Research Conference (CASCON)
,
Toronto
,
Ontario
,
Canada
,
2014
.
Indexing for Interactive Exploration of Big Data Series
,

Kostas Zoumpatianos
,
Stratos Idreos
,
Themis Palpanas
,

ACM

International Conference on Management of Data (SIGMOD)
,
Snowbird
,
Utah
,
USA
,
2014
.

2011-2013

Monitoring and Diagnosing Indicators for Business Analytics
,

Konstantinos Zoumpatianos
,
Themis Palpanas
,
John Mylopoulos
,
Alejandro Mate
,
Juan Trujillo
,

IBM

International Center for Advance Studies Research Conference (CASCON)
,
Toronto
,
Ontario
,
Canada
,
2013
.
Strategic Management for Real-Time Business Intelligence
,

Konstantinos Zoumpatianos
,
Themis Palpanas
,
John Mylopoulos
,

The 6th International Workshop for the Real-Time Enterprise (BIRTE@VLDB),

Istanbul
,
Turkey
,
2012
.
Enhancing the Collective Knowledge for the Engineering of Ontologies in Open and Socially Constructed Learning Spaces
,

Konstantinos Kotis
,
Andreas Papasalouros
,
George Vouros
,
Nikolaos Pappas
and
Konstantinos Zoumpatianos
,

Journal of Universal Computer Science (JUCS)
,
Springer
,
2011
.
Automated transformation of SWRL rules into multiple-choice questions
,

Konstantinos Zoumpatianos
,
Andreas Papasalouros
and
Konstantinos Kotis
,

The 24th Florida Artificial Intelligence Research Society Conference (FLAIRS)
,
Palm Beach
,
Florida
,
USA
,
2011
.

Posters

T-Store: Tunable Storage for Large Sequential Data (with Stratos Idreos and Themis Palpanas) - North East Database Day 2019, MIT, Cambridge, MA, USA

Big Sequence Management: Analyzing the 5G Data (with Michele Linardi, Themis Palpanas) - 1st GdR MaDICS Workshop on Big Data for the 5G RA (2015), Huawei, Paris, France

Indexing for Interactive Exploration of Big Data Series - ICT Days (2014), Trento, Italy

Strategic Management for Real-Time BI - NSERC BIN AGM (Nov. 8, 2012), IBM CAS, Toronto, Canada

Code

Do you want to clean/visualize/calculate statistics for data-series datasets? DSStat might be the answer.
Do you want to index billions of data-series and perform similarity search? ADS might be the answer. (Contact me for getting access to the repository).