Data Science DK - Conference

Date:

Wednesday, March 29, 2017 - 09:00 to 16:00

Place:

DTU, Anker Engelundsvej 101 A, Glassalen, 2800 Kgs. Lyngby

Organiser:

DABAI

Experience leading Danish data scientists on recent progress in algorithms, machine learning and visualization for data-driven innovation at the annual DABAI conference.

Program

09.00		Registration
09.30		Welcome Professor Bjarne Kjær Ersbøll, Head of Department, DTU Compute
09.35		DABAI – Danish Center for Big Data Analytics Driven Innovation CEO, Professor Ole Lehrmann Madsen, DABAI, The Alexandra Institute
09.40		Data Series Management: The Next Challenge Professor Themis Palpanas, Dept. of Computer Science, Paris Decartes University
10.20		Efficient algorithms for flood risk analysis Professor Lars Arge, Dept. of Computer Science, Aarhus University
10.45		Coffee break
11.00		Big Data Challenges in the Education Industry Professor Stephen Alstrup, PhD Student Christian Hansen & Postdoc Dang Ninh Pham, Dept. of Computer Science, University of Copenhagen
11.25		Visual analytics Professor Kaj Grønbæk, Dept. of Computer Science, Aarhus University
11.50		Three DIKU Open-Source Machine Learning Tools Professor Christian Igel, Dept. of Computer Science, University of Copenhagen
12.15		Lunch
13.15		Machine learning as a service - what can be automated? Professor Lars Kai Hansen, DTU Compute
13.40		Danish Business Administration - case story Post doc Allan Grønlund, Dept. of Computer Science, Aarhus University
13.55		Semantics and sentiment in a small language Senior researcher Finn Årup Nielsen, DTU Compute
14.10		Young scientist presentations
14.50		Coffee break
15.05		Young scientist presentations
15.50		Deep learning Professor Ole Winther, DTU Compute
16.15		Goodbye