Big Data@Chalmers seminar: with Devdatt Dubhashi

"Machine Learning for Business Analytics, Culturomics and Life Sciences" by Devdatt Dubhashi, Professor in ​Computing Science, Department of Computer Science and Engineering, Chalmers

Welcome to this Area of Advance ICT and Big Data@Chalmers seminar. We encourage you all to stay for coffee and further discussion after the seminar. Welcome!

Please register by sending an email to malin.ulfvarson@chalmers.se, so that we can estimate the number of participants.

 

Date: Friday 8 May, 2015 at 14.00-15.00. Coffee served after the seminar.

Location: Room Ascom, Chalmers Student Union Building, Chalmersplatsen 1

 

Abstract:
Modern machine learning has drawn its inspiration from various application domains and rests on solid foundations in algorithms, statistics and optimization. Today its impact in the era of "Big Data" and "Data Science"  is seen everywhere in daily life, be it Google translate, and Skype talk, driverless cars or robot automation. We will give an overview of the projects our group is involved in at Chalmers (and GU) from three application domains: business analytics (in a SSF project with Recorded Future which introduced this series of talks), language technology (in a VR Framework project with the Center for Language Technology) and in metabolic modelling (within the Life Science AoA with the Nielsen lab and the Center for Systems Biology).
 
Brief Bio:
Devdatt Dubhashi is Professor in the Dept. of Computer Science and Engg. Chalmers, where he leads the Algorithms, Machine Learning and Computational Biology group. He received his B.tech. from IIT Delhi and his Ph.D. from Cornell University USA. He was at the Max-Planck-Institute for Computer Science Germany, BRICS (Basic Research in Computer Science) a center of the Danish National Science Foundation Aarhus University and at IIT Delhi before taking up his position at Chalmers. He was an expert consultant for the OECD in drafting their Synthesis Report on "Data Driven Innovation" (expected to be released June 2015) and on "Big Data" panels at the OECD "Global Forum on the Knowledge Economy", Tokyo Oct 2014 and the Science and Technology Forum, a gathering of top scientists and world leaders, Kyoto Oct 2014.

Published: Tue 07 Apr 2015. Modified: Tue 05 May 2015