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Martin Ester

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Martin Ester
Ester in 2019
Born (1958-11-05) November 5, 1958 (age 66)
Essen, Germany
Children2
Academic background
EducationMS.c., Technical University of Dortmund
PhD, ETH Zurich
ThesisKonsistenzwerkzeuge für PROLOG-Wissensbasen (1989)
Academic work
InstitutionsUniversity of Munich
Simon Fraser University
Notable ideasDBSCAN

Martin Ester FRSC (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. 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). 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."

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

Between 2010 and 2015, Ester served as the SFU School of Computing Science director, before being succeeded by Greg Mori. 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. 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. 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.

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

References

  1. Sebastian Feld; Florentina Hofbauer (January 2019). "Very digital Person: MARTIN ESTER". Digitale Welt. 3 (1): 10–13. doi:10.1007/s42354-019-0143-5. S2CID 59299865.
  2. Ester, Martin; Kriegel, Hans-Peter; Sander, Jörg; Xu, Xiaowei (1996). Simoudis, Evangelos; Han, Jiawei; Fayyad, Usama M. (eds.). A density-based algorithm for discovering clusters in large spatial databases with noise. Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. pp. 226–231. CiteSeerX 10.1.1.121.9220. ISBN 1-57735-004-9.
  3. "2014 SIKDD TEST OF TIME AWARD WINNERS". kdd.org. Retrieved October 16, 2019.
  4. ^ "SFU COMPUTING SCIENCE PROFESSOR MARTIN ESTER NAMED ROYAL SOCIETY OF CANADA FELLOW". sfu.ca. September 10, 2019. Retrieved October 15, 2019.
  5. Wu, Xindong (January 2009). "EIC Editorial: Introducing the New Editor-in-Chief and Four New Associate Editors". IEEE Transactions on Knowledge and Data Engineering. 21: 1–3. doi:10.1109/TKDE.2009.8.
  6. "Greg Mori begins term as computing science director". sfu.ca. June 30, 2015. Retrieved October 16, 2019.
  7. "SFU COMPUTING SCIENTIST MARTIN ESTER IS WORLD'S MOST INFLUENTIAL DATA-MINING SCHOLAR". sfu.ca. 25 October 2016. Retrieved 16 October 2019.
  8. "SFU researchers investigate how technology can be used in healthcare". The Peak. May 24, 2018. Retrieved October 16, 2019.
  9. "Data science to help predict, prevent adverse drug reactions in children with cancer". sfu.ca. May 7, 2018. Retrieved October 16, 2019.

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