Professor Bart Kosko, Ph.D., J.D.
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Bio

Dr. Bart Kosko is a Professor of Electrical and Computer 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 in law from Concord Law School.   Dr. Kosko is an attorney licensed in California and federal court.
 
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 NAFIPS-2021 Best Paper Award for the paper
''Uniform Mixture Convergence of Continuously Transformed Fuzzy Systems''
from the 2021 Annual Conference of the North American Fuzzy Information Processing Society.
 
Dr. Kosko received the NAFIPS-2020 Outstanding Paper Award for the co-authored paper
''Random Fuzzy-Rule Foams for Explainable AI''
from the 2020 Annual Conference of the North American Fuzzy Information Processing Society.
 
He 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.
 
 

Profiles

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