【Master Forum】Data Science: From System Identification to (Deep) Learning and Big Data

Topic: Data Science: From System Identification to (Deep) Learning and Big Data

Speaker: Prof. Lennart Ljung

Date: September 7, 2018, Friday

Time: 15:00-16:15

Venue:  Governing Board Meeting Room, Dao yuan Building

Language: English

Abstract

Data science is a topic of great interest which has reached considerable current attention. It includes central research areas such as machine learning, deep learning and "big data”. Despite the extensive nomenclature and wide application areas associated with data science, it is stressed in this presentation that there are only a few central concepts. The use of data science to build mathematical model of dynamic systems - System Identification - is a useful template to illustrate and explain the basic concepts.

Speaker Profile
Lennart Ljung received his PhD in Automatic Control from Lund Institute of Technology in 1974. Since 1976 he is Professor of the chair of Automatic Control In Linkoping, Sweden. He has held visiting positions at IPU (Moscow), Stanford, MIT, Berkeley and Newcastle University (NSW) and has written several books on System Identification and Estimation, as well as a major software package, The System Identification Toolbox for Matlab.

He is an IEEE Fellow, an IFAC Fellow and an IFAC Advisor. He is a member of the Royal Swedish Academy of Sciences (KVA), a member of the Royal Swedish Academy of Engineering Sciences (IVA), an Honorary Member of the Hungarian Academy of Engineering, an Honorary Professor of the Chinese Academy of Mathematics and Systems Science, and a Foreign Member of the US National Academy of Engineering (NAE) as well as a member of the Academia Europaea.

In 2003 he received the Hendrik W. Bode Lecture Prize from the IEEE Control Systems Society, and in 2007 the IEEE Control Systems Award. He received the Quazza Medal in 2002 and the Nichols Medal in 2017, both from IFAC.