| Biography | |
|---|---|
 Prof. Wanyang Dai Nanjing University, China |
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| Title: Mind identification and gene-protein structure optimization via quantum computing | |
| Abstract: We study mind identification and gene-protein structure optimization via quantum computing. In doing so, we design deep convolutional neural network (DCNN) based artificial intelligence (AI) engines via optimization and quantum computing algorithms for gene trace, protein structure prediction, molecular-computing, biomedical or disease diagnosis, etc. Gene editing and genetic mutation with estimation will be addressed. Protein interaction and metabolism by enzymes will be presented. The related big data flows corresponding to gene sequences, mind movements, and biomedical images are stored in an orderly distributed database called blockchain and processed by quantum computing facilities, which provide an efficient platform to enhance the developments of various medicines and vaccines. | |
| Biography: Wanyang Dai is a Distinguished Professor in Nanjing University and Chief Scientist in DepthsData Digital Economic Research Institute. He is the current President & CEO of U.S. based (Blockchain & Quantum-Computing) SIR Forum (Industrial 6.0 Forum), President of Jiangsu Probability & Statistical Society in China, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee in China. He received his Ph.D. from Georgia Institute of Technology in USA. He was an MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He published numerous influential papers in big name journals and received various academic awards. He has presented around 40 keynote/plenary speeches in IEEE/ACM, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from pure mathematics & statistics to their applications. | |
