2023 3rd International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2023)

MLISE 2023

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Prof. Gang Fang, Guangzhou University, China

Biography: Fang Gang, professor, doctoral supervisor, academic leader of the 'Hundred Talents Program' of Guangzhou University, working at the Guangzhou University Institute of Computing Technology. He graduated from Huazhong University of Science and Technology in 2006 with a Ph.D. degree in bioinformatics, biocomputing, synthetic biology and medical data processing. In recent years, he has presided over two National Natural Science Foundation of China and participated in the completion of four national funds. In the past three years, he has published more than 20 academic papers in important journals, journals and conferences at home and abroad, including more than 10 SCI and EI CD-ROMs. Obtained two software copyrights and served as a reviewer for a number of domestic and international journals. He has served as a peer review expert for projects such as the National Natural Science Foundation of China, Shaanxi Province and Xi'an Natural Science Foundation Committee. In 2008, he won the second prize of natural science of the Ministry of Education (research on intelligent computing methods in network structure and optimization, the 7th completer). Professor Fang Gang proposed for the first time to optimize the expression system of synthetic biology by using a statistical language model of natural language processing, and applied dynamic programming algorithm to optimize the expression vector design based on the model, and find the best one from many options. Using this method reduces redundant operations for biological experiments, thereby reducing the cost of expression vector construction. A total of 8 papers have been published in this regard, including the representative paper "Optimizing DNA Assembly Based on Statistical Language Modelling", published in the international authoritative journal Nucleic Acids Research (2017, Vol. 45, No. 22, e182. doi: 10.1093/nar/gkx859. IF:11.561). , had a certain impact.