Andreas Janecek received his bachelor’s and master’s degree in Business Informatics from the University of Vienna in 2004 and 2005, respectively, and his PhD degree (Dr.techn.) in Computer Science from the University of Vienna in February 2010.
Andreas Janecek's areas of interest include but are not restricted to 1) distributed computing, with a focus on epidemic algorithms for information dissemination as well as distributed averaging problems; 2) ubiquitous computing, including road traffic monitoring and travel time estimation and prediction based on cellular floating data; 3) computational intelligence, such as stochastic optimization, nature-inspired meta-heuristics, and swarm intelligence; and 4) data mining and machine learning. The results of his research are published in more than 30 publications in journals and peer-reviewed conferences.
Since 2007 Mr. Janecek has been teaching at the University of Vienna, the Peking University in China, and the Universitade Politecnica de Pernambuco in Refice/PE (Brazil). His lectures are partly closely related to his research with focus on data mining methods for drug discovery applications, as well as on technical basics, system software, and Internet technologies.
- Spam, Phishing, Bot Networks Date: ongoing
- Date: November 2012 - September 2013
- Distributed Computing and Information Processing Date: June 2011 - May 2014
- Road traffic estimation from Cellular network Signaling Date: January 2011 - April 2013
- Quality assessment and enhancement of user-generated mobile multimedia content Date: September 2010 - December 2012
- Distributed Computing and Information Processing Date: June 2008 - May 2011
- Date: January 2006 - March 2011
- Date: July 2004 - April 2006
- Computing Paradigms and Algorithms for Molecular Modeling and Simulation: Applications in Chemistry, Molecular Biology, and Pharmacy