“On the Deeper Secrets of Deep Neural Networks and a Path Forward”
Topics of Interest
Adaptive and Robust Artificial Intelligence, Self-organizing Systems, Complex Adaptive Systems, Multi-Objective Optimization
Danilo Vasconcellos Vargas is currently an Associate Professor at Kyushu University, Japan. His research interests span Artificial Intelligence (AI), evolutionary computation, complex adaptive systems, interdisciplinary studies involving or using an AI’s perspective and AI applications. Many of his works were published in prestigious journals such as Evolutionary Computation (MIT Press), IEEE Transactions on Evolutionary Computation and IEEE Transactions of Neural Networks and Learning Systems with press coverage in news magazines such as BBC news. He received awards such as the IEEE Excellent Student Award and scholarships to study in Germany and Japan for many years. Regarding his community activities, he was the presenter of two tutorials at the renowned GECCO conference.
Regarding adversarial machine learning, he has more than 5 invited talks about the subject. One given in a workshop in CVPR 2019. He has authored more than 10 articles and three chapters on books about adversarial machine learning, one of its research outputs was published on BBC news (about the paper “One pixel attack for fooling deep neural networks”).