Professor Bart Kosko, Ph.D., J.D.
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Dr. Bart Kosko is a Professor of Electrical Engineering in the University of Southern California's Viterbi School of Engineering
and a Professor of Engineering and Law in USC's Gould School of Law.  
Dr. Kosko received bachelors degrees in Philosophy and in Economics from the University of Southern California,
the masters degree in Applied Mathematics from the University of California at San Diego, the Ph.D. degree in Electrical Engineering
from the University of California at Irvine, and the J.D. degree from Concord Law School.   Dr. Kosko is a licensed California attorney.
Dr. Kosko is a fellow of the IEEE, a fellow of the International Neural Network Society (INNS), and a fellow of the International Fuzzy Systems Association (IFSA).
Dr. Kosko received the IJCNN-2017 Best Paper Award for the co-authored paper
''Using Noise to Speed up Video Classification with Recurrent Backpropagation''
from the 2017 IEEE-INNS Joint Conference on Neural Networks.


IEEE Spectrum Profile
Wired Q & A - Fuzzy Logic
Wired Q & A - Noise