Olle Gällmo

lecturer at Department of Information Technology, Division of Computer Systems

Email:
Olle.Gallmo[AT-sign]it.uu.se
Telephone:
+4618-471 1009
Fax:
018-511925
Visiting address:
Room ITC 1256 ITC, Lägerhyddsvägen 2, hus 1
752 37 UPPSALA
Postal address:
Box 337
751 05 UPPSALA

Short presentation

Teaching on advanced level in machine learning and artificial intelligence. Student advisor for students on the bachelor programme in computer science (DVk). Co-responsible for bachelor thesis projects in computer science.

Book meetings with me at http://ollegallmo.youcanbook.me.

Keywords: artificial intelligence machine learning bachelor thesis study advice and counselling

My courses

Biography

I teach on advanced (master) level in Machine Learning and Artificial Intelligence. Now and then, I also give guest lectures on artificial intelligence in computer games. I am also student advisor for students on the bachelor programme in computer science (DVk) and reponsible for the introductory part of all bachelor theses in computer science.

The little time I have over for research I spend on Machine Learning, in particular natural computation methods such as Artificial Neural Networks, Reinforcement Learning, and Particle Swarm Optimization.

I am also an active musician (traditional Swedish music) and riksspelman on Swedish bagpipes, and give courses and workhops also in this area. More on this side of my life at http://olle.gallmo.se.

Publications

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