I am Behzad Tabibian, PhD student at Max Planck Institute, Emperical Inference department. I studied Computer Science at University of Edinburgh and obtained my Masters at University of Pittsburgh. My main research interests are Machine Learning and Statistics and their applications in Networks.
I also completed two internships at Amazon.com as Machine Learning Scientist during summers of 2013 and 2014 in Seattle and Berlin. During both internships I worked with forecasting team to test and develop large scale learning systems.
I completed my undergraduate final project under supervision of Dr. Subramanian Ramamoorthy. The objective of Games Robots Play was to develop signaling primitives that are based on principles of Game Theory for coordination of heterogeneous robots.
I was a long time participant of RoboCup competitions. I have been mostly involved with Virtual Robot competitions both as participant and technical committee member. During my final year in Edinburgh I was also a member of Edinferno, University's RoboCup team in Standard Platform league.
Before 2010 I worked on research projects at Iran University of Science and Technology just before transferring my studies to University of Edinburgh. I mainly collaborated with Dr. Alireza Mohammad Shahri at Electronic Research Center developing control algorithms for mobile robots.
I had the great privilege of taking courses with some of the world's renowned scientists:
- Probabilistic Modelling and Reasoning with Prof. Chris Williams.
- Machine Learning and Pattern Recognition with Dr. Amos Storkey.
- Reinforcement Learning with Dr. Subramanian Ramamoorthy.
- Advanced Vision with Prof. Robert Fisher.
- Statistical Machine Learning with Prof. Larry Wasserman and Aarti Singh.
I mostly read books in my free time; you can find a list of my favorite books on Good Reads and some of my favorite quotes (hidden) here in this website.
You can find my CV here.
|Pittsburgh, USA||Lapalma, Canary Islands|