![](https://archive.qconlondon.com/sites/qcon_london/files/styles/240x240/public/albert_bifet.jpg?itok=KdvL1bTX)
Speaker: Albert Bifet
Associate Professor @Telecom ParisTech
Albert Bifet is Associate Professor at Telecom ParisTech and Honorary
Research Associate at the WEKA Machine Learning Group at University of
Waikato. Previously he worked at Huawei Noah's Ark Lab in Hong Kong,
Yahoo Labs in Barcelona, University of Waikato and UPC BarcelonaTech.
He is the author of a book on Adaptive Stream Mining and Pattern
Learning and Mining from Evolving Data Streams. He is one of the
leaders of MOA and Apache SAMOA software environments for implementing
algorithms and running experiments for online learning from evolving
data streams. He was serving as Co-Chair of the Industrial track of
IEEE MDM 2016, ECML PKDD 2015, and as Co-Chair of BigMine (2016-2012),
and ACM SAC Data Streams Track (2017-2012).