Martin Ester Explained

Martin Ester
Birth Date:5 November 1958
Birth Place:Essen, Germany
Children:2
Education:MS.c., Technical University of Dortmund
PhD, ETH Zurich
Thesis Title:Konsistenzwerkzeuge für PROLOG-Wissensbasen
Thesis Year:1989
Workplaces:University of Munich
Simon Fraser University
Notable Ideas:DBSCAN

Martin Ester (born November 5, 1958) is a Canadian-German Full Professor of Computing Science at Simon Fraser University. His research focuses on researcher data mining and machine learning.

Career

After earning his MS.c., Ester worked for Swissair before earning a position at the University of Munich as an Assistant Professor in 1993.[1] Three years later, in 1996, Ester, Hans-Peter Kriegel, Jörg Sander and Xiaowei Xu proposed a data clustering algorithm called "Density-based spatial clustering of applications with noise" (DBSCAN).[2] Their proposal won the 2014 KDD Test of Time Award for "outstanding papers from past KDD Conferences beyond the last decade that have had an important impact on the data mining research community."[3]

A few years later, Ester moved to Vancouver and accepted a position at Simon Fraser University.[4] In 2009, Ester was selected to become an Associate Editor of the IEEE Transactions on Knowledge and Data Engineering.[5]

Between 2010 and 2015, Ester served as the SFU School of Computing Science director, before being succeeded by Greg Mori.[6] In 2016, Arnetminer listed Ester as the world's most influential scholar in data mining. At the time, Arnetminer recorded that Ester authored 169 papers, which gained more than 21,000 citations, and hitting 50 on the h-index.[7] Besides working as a Full Professor at SFU, Ester is also heading research at British Columbia Children's Hospital regarding genetic influence in drug reception and reactions in patients.[8] His research team received a $9.9 million grant from Genome Canada for their research through Genome Canada's 2017 Large-Scale Applied Research Project Competition: Genomics and Precision Health.[9]

As a result of his research, Ester was elected a Fellow of the Royal Society of Canada in 2019.[4]

External links

Notes and References

  1. Sebastian Feld . Florentina Hofbauer . Very digital Person: MARTIN ESTER . Digitale Welt . January 2019 . 3 . 1 . 10–13 . 10.1007/s42354-019-0143-5 . 59299865 .
  2. Martin . Ester . Hans-Peter Kriegel . Hans-Peter . Kriegel . Jörg . Sander . Xiaowei . Xu . A density-based algorithm for discovering clusters in large spatial databases with noise. 226–231. Evangelos . Simoudis . Jiawei . Han . Usama M. . Fayyad. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. 1996. 1-57735-004-9 . 10.1.1.121.9220.
  3. Web site: 2014 SIKDD TEST OF TIME AWARD WINNERS . kdd.org . October 16, 2019.
  4. Web site: SFU COMPUTING SCIENCE PROFESSOR MARTIN ESTER NAMED ROYAL SOCIETY OF CANADA FELLOW . sfu.ca . October 15, 2019 . September 10, 2019.
  5. Wu . Xindong . EIC Editorial: Introducing the New Editor-in-Chief and Four New Associate Editors . IEEE Transactions on Knowledge and Data Engineering . 21 . 1–3 . January 2009. 10.1109/TKDE.2009.8 .
  6. Web site: Greg Mori begins term as computing science director . sfu.ca . October 16, 2019 . June 30, 2015.
  7. Web site: SFU COMPUTING SCIENTIST MARTIN ESTER IS WORLD'S MOST INFLUENTIAL DATA-MINING SCHOLAR . sfu.ca . 16 October 2019 . 25 October 2016.
  8. News: SFU researchers investigate how technology can be used in healthcare . October 16, 2019 . The Peak . May 24, 2018.
  9. Web site: Data science to help predict, prevent adverse drug reactions in children with cancer . sfu.ca . October 16, 2019 . May 7, 2018.