I am a Ph.D. Candidate in the Department of Computer Science at the University of California, Irvine, where I am affiliated with both Prof. Jeffrey Krichmar’s Cognitive Anteater Robotics Lab (CARL) and Prof. Nikil Dutt’s research group in embedded systems and computer-aided design.
My scientific interests lie in the development of novel computational models of biological vision as well as their integration into neuromorphic platforms and practical applications towards solving important real-world problems.
In specific, my PhD work concentrates on bottom-up models of cortical circuits involved in visual motion processing that take into account computational as well as organizational principles of neurons, gleaned from electrophysiological and neuroanatomical evidence, and on their integration into autonomous brain-inspired robots. By investigating the link between neural circuitry and a system’s behavior in specific behavioral tasks, I could gain insight into the guiding computational principles that make these networks so powerful.
I am also co-developing and maintaining CARLsim, an open source software platform for the efficient simulation of large-scale spiking neural networks on x86 and CUDA architectures.
I received the B.S. degree in Electrical Engineering and Information Technology as well as the M.S. degree in Biomedical Engineering from ETH Zurich, Switzerland, in 2009 and 2011, respectively.
I am the author of a technical book on developing advanced computer vision and machine learning projects using OpenCV with Python, with all related code available at: github.com/mbeyeler. During my PhD, I was also involved in Phase 2 of the DARPA SyNAPSE program as part of the Hughes Research Laboratories (HRL) team and helped design a neural controller for autonomous mobile robots for incorporation into the new generation of low-power high-density VLSI neuromorphic chips. Furthermore, I performed technical evaluation for Qualcomm Technologies Inc. on their Zeroth Brain-Inspired Computing platform. Finally, I was able to gain additional research experience during internships in computer vision at the Fraunhofer Institute in Stuttgart, Germany and in brain-inspired machine learning at IBM Research in Almaden, San Jose, CA.
Last updated: 5/3/16