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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. |
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| 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. |
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| Dr. Kosko received the 2022 Hebb Award for neural learning from the International Neural Network Society (INNS). |
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| 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). |
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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. |
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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. |
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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. |
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Profiles |
| IEEE Spectrum Profile |
| Wired Q & A - Fuzzy Logic |
| Wired Q & A - Noise |
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