Roberto Calandra joined Technische Universitaet Darmstadt (translates roughly as Darmstadt University of Technology) on January 2012 as a PhD. There he will develop new "Probabilistic Methods in Learning for Control & Robotics" working with Jan Peters and Marc Deisenroth.
Previously he achieved a Master degree in Machine Learning and Data Mining at the Aalto University (formerly known Helsinki University of Technology or TKK) in Finland. There he had the opportunity to work on Gaussian Process as research assistant under the supervision of Aki Vehtari. Furthermore Roberto wrote his thesis An Exploration of Deep Belief Networks toward Adaptive Learning on the topic of Deep Learning under the supervision of Olli Simula with the collaboration of Federico Montesino Pouzols and Tapani Raiko.
Before, Roberto achieved his Bachelor in Computer Science engineering at the Università degli studi di Palermo in Italy. There he wrote his thesis Design and Build of a Robotics mobile platform [in Italian] under the supervision of Haris Dindo.
Roberto's main interest is what he calls "Artificial Stupidity", where opposite to the traditional Artifical Intelligence the emphasis is not on the "Intelligence" but on the adaptibility and continuous learning. For this purpose his interest includes but are not limited to: Machine Learning, Data Mining, Robotics and Self-organizing Systems.
The topic that he is currently developing includes Reinforcement learning, Robotics, Adaptive learning, Large-scale Machine Learning, Deep Learning and Clustering.
Mail: Roberto Calandra, TU Darmstadt, FB Informatik, FG IAS, Hochschulstr. 10, 64289 Darmstadt
Office: Room E323, Robert-Piloty Gebaeude S2|02
+49-6151-16-7396
+49-6151-167374
calandra@ias.tu-darmstadt.de