About Me


Boštjan Kaluža, PhD is the Chief Data Scientist at Evolven and a senior researcher at the Department of Intelligent Systems at Jozef Stefan Institute. His research field is artificial intelligence, intelligent systems, and machine learning focusing on anomaly detection, IT operations analyticsambient intelligence, and predictive APIs in cloud. For details, please see the research section.

Boštjan completed his PhD study in 2013 at Jožef Stefan International Postgraduate School in Ljubljana, Slovenia by defending doctoral dissertation entitled Detection of anomalous and suspicious behavior patterns from spatio-temporal agent traces, supervised by Prof. Dr. Matjaž Gams and co-supervised by Dr. Mitja Luštrek.

Boštjan spent two semesters (2010/2011) in Los Angeles, California as a visiting researcher in Teamcore research group at University of Southern California under the advisement of Prof. Milind Tambe.

Focusing on the machine learning and data science, Boštjan has published numerous conference papers and delivered articles in professional journals, and published his first book on data science, Instant Weka How-to, exploring how to leverage machine learning using Weka.

The complete biography may be found in CV [pdf].



Upcoming in December 2015:
B. Kaluža. Machine Learning in Java. Packt Publishing, UK, ISBN: 9781784396589, 2015.

https://www.packtpub.com/big-data-and-business-intelligence/machine-learning-java



B. Kaluža. Instant Weka How-to. Packt Publishing, UK, ISBN: 1782163867, 2013.

http://www.packtpub.com/implement-data-mining-weka-how-to/book

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