100-word biography: | Dr. Jing He is with the University of Oxford. Before relocating to UK, she was a Professor in the School of Software and Electrical Engineering at Swinburne University of Technology, Australia, from 2018-2021 and at Victoria University from 2008-2018. She was awarded a Ph.D. degree from the Academy of Mathematics and System Science, Chinese Academy of Sciences, in 2006 and used to work in University of Chinese Academy of Sciences, China from 2006-2008. She has been active in areas of Graph theory, Linear Programming, and some industry field such as E-Health, Bioinformatics, Petroleum Exploration and Development, and Water Resource Management. She has published over 200 research papers in refereed international journals and conference proceedings, including Information System, Information Sciences, IEEE Transaction on Knowledge and Data Engineering (TKDE), Plos One, The Computer Journal, IJCAI, AAAI, ICDE, etc. Dr. Jing He is an IEEE senior member, and her H-index is 24. |
Abstract: | In theoretical computer science, there is one unsolved problem in Optimisation: if there is a strong polynomial-time solution for graph isomorphism. I have been working on them for the past ten years and successfully proposed one solution for the above-mentioned question. The proposed permutation and equinumerosity based solution for subgraph isomorphism has been adopted to work for new medicine discovery for anti-COVID 19. As a structural biologist, I have implemented and publish the RNA structure of the covid-19 and created a resource library called 'Graph Map' on this basis. The resource library also includes resources such as the evaluation of existing new coronavirus protein structure models, which can help scientists better understand the covid-19 and promote the research and development of new coronary pneumonia drugs and vaccines. Understanding the structure of the covid-19 structure is essential for the development of new coronary pneumonia treatments and vaccines. I have carefully analyzed the existing new coronavirus protein model and gave the results to help the biomedical community. The structural model is based on the graph isomorphism and subgraph isomorphism. Other scientists' understanding of viral proteins is sometimes not so good. Therefore, it is very important to verify important structures. In most cases, I only propose minor corrections. But in some cases, corrections are of great significance. Especially it is in the field of protein-ligand complexes, which is crucial for follow-up research such as drug development. |