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P. 2
Topic: Evolutionary Computation
for Deep Learning and Machine
Learning
Prof. Yu Xue received his Ph.D. degree from the School of Computer Science
and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing,
Jiangsu, China, in 2013. He is a Professor at the School of Software, Nanjing
University of Information Science and Technology, Nanjing, Jiangsu, China.
Yu Xue He was a Visiting Scholar at the School of Engineering and Computer Science,
Victoria University of Wellington, Wellington, New Zealand, from August 2016
School of Computer to August 2017. He was a Research Scholar in the Department of Computer
and Software, Nanjing Science and Engineering, Michigan State University, East Lansing, MI, USA,
University of Information from October 2017 to November 2018. His research interests include deep
Science & Technology, learning, evolutionary computation, machine learning, and computer vision.
Nanjing, Jiangsu, China.
Dr. Ferrante Neri obtained his Master’s and Ph.D. degrees in Electrical
Engineering at the Technical University of Bari, Italy, in 2002 and 2007,
respectively. Additionally, at the University of Jyväskylä, Finland, he received
his Ph.D. degree in Computational Sciences from the Faculty of Information
Technology in 2007, followed by the DSc degree in Computational Intelligence in
2010. Presently, he is an Assistant Professor at the School of Computer Science at
the University of Nottingham and a member of the Computational Optimisation
Ferrante Neri and Learning Research Group. He is also a scholar in Optimisation and
Computational Modelling and the author of Linear Algebra for Computational
School of Computer Sciences and Engineering. His research interests primarily revolve around
Science, University metaheuristic optimisation in the continuous domain, fitness landscape analysis,
of Nottingham, and computational modelling.
Nottingham, UK.