Tom Heskes is full professor in Artificial Intelligence at the Institute for Computing and Information Sciences (ICIS) of the Radboud University Nijmegen, the Netherlands. He leads the Machine Learning group in the Intelligent Systems section. Prof. Heskes got his PhD on learning processes in neural networks in 1993, also at the Radboud University Nijmegen. After a postdoc at the Beckman Institute at Champaign-Urbana, Illinois, he returned to Nijmegen to work for SNN, the (former) Dutch Foundation for Neural Networks. With two colleagues he started the spin-off company SMART Research BV. In 2004 he moved from SNN to the ICIS, where he became a full professor in 2008. Prof. Heskes is a principal investigator at ICIS and an affiliated principal investigator at the Donders Centre for Neuroscience.
Since 2003, Prof. Heskes is Editor-in-Chief of Neurocomputing, one of the main journals on neural networks and alike, publishing papers from computational neuroscience to machine learning. He is further an editorial board member of the International Journal of Computational Intelligence Systems and of Foundations and Trends in Machine Learning, and serves in the program committees of many international conferences. In 2006, Prof. Heskes received a prestigious VICI grant for his work on Bayesian machine learning. His current research interests include Bayesian modeling and inference, preference elicitation, multi-task learning, brain-computer interfacing, causal modeling, and Bayesian perception. |
