Mr. Klemen Kenda

KLEMEN KENDA (M) is a researcher at Jozef Stefan Institute. He obtained his diploma in physics at the University of Ljubljana and is pursuing his Ph.D. in information and communication technologies at Jožef Stefan International Postgraduate School. He has been involved with machine learning and stream mining of heterogeneous data sources. Applications of his work have been made in the fields of environmental intelligence and energy management. He has contributed to several EU FP7 and H2020 projects (Planetdata, Envision, NRG4CAST, Sunseed, PerceptiveSentinel, EnviroLENS, Factlog) since 2011 and acted as a leader of several technical work packages. He is the author of a chapter on mashups for environmental intelligence in the book “Semantic Mashups” (Springer, 2013). He is one of the contributing authors of QMiner, an open-source data analytics platform for processing large-scale real-time streams.