Qin Zhang_CISE 2021

Biography
Prof. Qin Zhang Institute of Nuclear and New Energy Technology and Department of Computer Science and Technology, Tsinghua University, China
Biography: Qin Zhang is a member of Standing Committee of Chinses People’s Political Consultative Conference (CPPCC), emeritus member of China Association for Science and Technology (CAST), member of International Nuclear Energy Academy, fellow of China Association for Artificial Intelligence (CAAI) and director of the specialized committee for uncertainty in AI of CAAI, vice president of China Intellectual Property Society (CIPS) and director of academic committee of CIPS, professor of Institute of Nuclear and New Energy Technology and Department of Computer Science and Technology, Tsinghua University, former vice president of CAST, former deputy commissioner of State Intellectual Property Office (SIPO) of China, and former director of Science and Technology Commission, Chongqing, China. He published 20 papers as the first and corresponding author in journals ranking Q1 by JCR, and more than 100 other papers. He wrote a book: Basic Theory of Intellectual Property. He was grounded with 5 invention patents by SIPO and 1 invention patent by US Patent and Trademark Office (USPTO), while other 2 are under examination by USPTO. He winned the gold cup issued by International Federation of Inventor Associations (IFIA) during the international invention exhibition, Nuremburg, Germany, 2012. He presented a new AI model named as Dynamic Uncertain Causality Graph (DUCG) applied in (1) online fault monitoring, forecast, diagnosis, development prediction, decision support, and probabilistic safety assessment (PSA), for large and complex industrial systems such as nuclear power plants, chemical plants, satellites, etc., and (2) computer-added general clinical diagnosis, etc. So far, the precisions of DUCG diagnoses in more than 100 fault experiments of industrial systems have been 100%. The precisions of disease diagnoses for 20 chief complaints such as stomachache and breathing difficulty, for which the DUCG knowledge bases were constructed, were more than 95% verified by the third-party high level hospitals. These knowledge bases have been put into real use. The DUCG knowledge bases for other 17 chief complaints such as stethalgia have been constructed and waiting for the third-party verifications. The DUCG knowledge bases for another 7 chief complaints such as headache are still under construction. Hopefully, all the chief complaints will be covered and put into real use within one year, which means to cover almost all general clinical diagnoses.

Biography

Prof. Qin Zhang
Institute of Nuclear and New Energy Technology and Department of Computer Science and Technology, Tsinghua University, China

Biography:
Qin Zhang is a member of Standing Committee of Chinses People’s Political Consultative Conference (CPPCC), emeritus member of China Association for Science and Technology (CAST), member of International Nuclear Energy Academy, fellow of China Association for Artificial Intelligence (CAAI) and director of the specialized committee for uncertainty in AI of CAAI, vice president of China Intellectual Property Society (CIPS) and director of academic committee of CIPS, professor of Institute of Nuclear and New Energy Technology and Department of Computer Science and Technology, Tsinghua University, former vice president of CAST, former deputy commissioner of State Intellectual Property Office (SIPO) of China, and former director of Science and Technology Commission, Chongqing, China.

He published 20 papers as the first and corresponding author in journals ranking Q1 by JCR, and more than 100 other papers. He wrote a book: Basic Theory of Intellectual Property. He was grounded with 5 invention patents by SIPO and 1 invention patent by US Patent and Trademark Office (USPTO), while other 2 are under examination by USPTO. He winned the gold cup issued by International Federation of Inventor Associations (IFIA) during the international invention exhibition, Nuremburg, Germany, 2012. He presented a new AI model named as Dynamic Uncertain Causality Graph (DUCG) applied in (1) online fault monitoring, forecast, diagnosis, development prediction, decision support, and probabilistic safety assessment (PSA), for large and complex industrial systems such as nuclear power plants, chemical plants, satellites, etc., and (2) computer-added general clinical diagnosis, etc. So far, the precisions of DUCG diagnoses in more than 100 fault experiments of industrial systems have been 100%. The precisions of disease diagnoses for 20 chief complaints such as stomachache and breathing difficulty, for which the DUCG knowledge bases were constructed, were more than 95% verified by the third-party high level hospitals. These knowledge bases have been put into real use. The DUCG knowledge bases for other 17 chief complaints such as stethalgia have been constructed and waiting for the third-party verifications. The DUCG knowledge bases for another 7 chief complaints such as headache are still under construction. Hopefully, all the chief complaints will be covered and put into real use within one year, which means to cover almost all general clinical diagnoses.