THRUST 1: Bio-inspired ICT (Bio-inspired evolutionary computing)

Proposer: Shaolong Shi, Research Fellow in Yangtze Delta Region Institute (Quzhou), University
of Electronic Science and Technology of China

Biographical Sketch of the Proposer: Dr. Shi received the B.S. and M.S. degrees in control
science and engineering from the Harbin Institute of Technology, Harbin, China, in 2014 and
2016, respectively, and the Ph.D. degree in computer science and technology from the Harbin
Institute of Technology, Harbin, China, and Southern University of Science and Technology,
Shenzhen, China, in 2020. He did the postdoc research in Yangtze Delta Region Institute
(Quzhou), University of Electronic Science and Technology of China, Quzhou, China, and the
City University of Hong Kong, Hong Kong, supported by the Hong Kong Scholar Fellowship. His
current research focuses on computational nanobiosensing with applications in biomedical
domain.

Abstract: Bio-inspired evolutionary computing (BIEC) is a branch of artificial intelligence that
draws inspiration from natural evolutionary processes and biological systems. It aims to solve
optimization and search problems by simulating the principles of natural selection, mutation,
crossover, and other mechanisms found in nature. The main advantages of BIEC are its
adaptability, robustness, and ability to handle complex and nonlinear problems. It has found
widespread applications in various fields. In this workshop, we will invite 10 experts in the area of
theories and applications of BIEC. The topics will include engineering optimization, machine
learning, bioinformatics, robotics and other emerging topics about BIEC.