Department of Information Technology

Kristiaan Pelckmans

researcher at Department of Information Technology, Division of Systems and Control

Email:
kristiaan.pelckmans[AT-sign]it.uu.se
Telephone:
+4618-471 3393
Mobile phone:
+46 70 8750595
Visiting address:
Room ITC 2338 ITC, Lägerhyddsv. 2, hus 2
752 37 UPPSALA
Postal address:
Box 337
751 05 UPPSALA

Keywords: machine learning automatic control system identification

My courses

Research

My research studies different forms of Machine Learning (ML), and various applications of those. My interests are found in the theoretical, algorithmical and application-oriented aspects of the question: what makes a good ML algorithm work in given case? It is fair to say that data-based techniques are evolving parallel to the ever-increasing availability of computational power. But while the availability of fast hardware is mostly regulating the latter,  the limits of the former are often dictated by the availability of proper algorithms. Properly designed algorithms are (1) theoretically sound, (2) in-tune with its intended application aim, and (3) computational attractive. These topics are invariantly present underlying trends as neural networks, kernel machines, compressed sensing, deep learning and Big Data.

Publications

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Updated  2012-05-28 15:54:02 by Kristiaan Pelckmans.