Professor, PhD. Albert Bifet, Télécom ParisTech, France and the Waikato University, New Zeland
He is a Big Data scientist with 10+ years of international experience
in research and in leading new open source software projects for
business analytics, data mining and machine learning (Huawei, Yahoo,
University of Waikato, UPC). He obtained a PhD from
UPC-BarcelonaTech. He has worked in Hong Kong, New Zealand and Europe.
At Yahoo Labs, he co-founded Apache SAMOA (Scalable Advanced Massive
Online Analysis) in 2013. Apache SAMOA is distributed streaming
machine learning (ML) framework that contains a programing abstraction
for distributed streaming ML algorithms. At the WEKA Machine Learning
group, he is co-leading MOA (Massive Online Analysis) since 2008. MOA
is the most popular open source framework for data stream mining, with
more than 20,000 downloads each year. He is the author of a book on
Adaptive Stream Mining and Pattern Learning and Mining from Evolving
Data Streams. Additionally, he was editor of the Big Data Mining
special issue of SIGKDD Explorations in 2012. Also, he is serving as
Co-Chair of the Industrial track of ECML PKDD 2016, and served as
Co-Chair of BigMine (2014, 2013, 2012), and ACM SAC Data Streams Track
(2016, 2014, 2013, 2012).
Professor, PhD. Fabio Crestani, Faculty of Informatics, University of Lugano, Switzerland
Fabio Crestani is a full professor at the Faculty of Informatics of USI since January 2007. Before arriving in Lugano he was a (full) Professor at the University of Strathclyde in Glasgow (UK) since 2000. During that time he was a Visiting Professor at IMAG (France), and spent a year sabbatical at UC Berkeley (USA) and Xerox PARC (USA). In 1997-1999 he was a Postdoctoral Research Fellow at the University of Glasgow (UK), at the International Computer Science Institute in Berkeley (USA), and at the Rutherford Appleton Laboratory (UK).
Earlier, in 1992-97 he was Assistant Professor at the Department of Information Engineering of the University of Padova (Italy).
Fabio holds a degree in Statistics from the University of Padova (Italy) and an MSc and PhD in Computing Science from the University of Glasgow (UK). His main areas of research are Information Retrieval, Text Mining, and Digital Libraries. He has co-edited 9 books and published over 150 publications in these areas of research. He is Editor-in-Chief of Information Processing and Management (Elsevier) and member of the editorial board of a number of journals.
Professor, PhD. Kevin Bretonnel Cohen, University of Colorado - School of Medicine, U.S.A
Kevin Bretonnel Cohen is the Director of the Biomedical Text Mining Group at the University of Colorado School of Medicine.
His research covers a wide range of topics in biomedical natural language processing, ranging from named entity recognition
to software engineering and evaluation for language processing applications. Since 2008, he has been the chair of the
Association for Computational Linguistics special interest group on biomedical natural language processing.
Professor, PhD. Maguelonne Teisseire, Cirad and TETIS Laboratory, France
Maguelonne Teisseire received a PhD degree in Computing Science from the Méditerranée University, France, in 1994. Her research interests focused on behavioral modeling and design. In 1995- 2008, she was an Assistant Professor of Computer Science and Engineering in Montpellier II University and Polytech’Montpellier, France. She headed the Data Mining Group at the LIRMM Laboratory Lab, Montpellier, France, from 2000 to 2008. She is currently a Research Professor - Irstea and she joined the TETIS lab in March 2009.
Her research interest focus on advanced data mining approaches when considering that data are time ordered. Particularly, she is interested in text mining and sequential patterns. Her research takes part on different projects supported by either National Government (RNTL) or regional project. She has published numerous papers in refereed journals and conferences either on behavioral modeling or data mining.