Miguel Carreira-Perpiñán is an Associate Professor of Electrical Engineering & Computer Science. Areas of specialization: Machine learning, optimization and learning algorithms for deep neural nets and other "nested" systems, and for nonlinear embeddings, sensor networks, robotics, computational neuroscience.
NRT Intelligent Adaptive Systems
University of California, Merced
5200 N Lake Road
Merced, CA 95343
Contact: Dr. Ramesh Balasubramaniam
ramesh at ucmerced dot edu
or twitter: ramesh@ucmerce
Webmaster: nrt-ias@ucmerced.edu
This material is based upon work supported by the National Science Foundation under Grant No. DGE-1633722. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
