This is the personal research site of Alan J. Lockett. My main research interest is to develop feedback controllers for complex autonomous systems. I'm a postdoctoral fellow at the Dalle Molle Institute for Artificial Intelligence Studies under a US NSF grant to teach a humanoid robot to play chess. I've also published extensively on the theory of global optimization. Right now, I'm looking for an assistant professorship to start a research lab at a respected international research university. A Curriculum Vitae, Research Statement, and Teaching Statement can be found in the links to the left.
I received a Ph.D in Artificial Intelligence from the University of Texas at Austin in May 2012. For my thesis, I did a mathematical analysis of iterative stochastic optimization methods. I also developed some martigale-based optimization methods.
You can find my resume here and a CV here. You can contact me directly at:
My current research studies deep neural networks to serve as controllers for the iCub humanoid robot. The project is funded by the US National Science Foundation's International Research Fellows Program. My postdoctoral advisor is Juergen Schmidhuber.
For the doctoral degree, I studied under Risto Miikkulainen as part of the Neural Networks Research Group in the Artificial Intelligence Lab at the University of Texas at Austin. In 2010, UT-Austin had the 5th ranked artificial intelligence research program in the United States.