Dr. Guocheng Zhu obtained a Ph.D. in Municipal Engineering from Chongqing University, China. His postdoctoral work involves treating harmful substances through effective nanotechnology, remedying pollution in industrial wastewater, and reducing treatment costs for enterprises. At present, he is working at the Hunan University of Science and Technology (HUST). His interests focus on water pollution remediation and monitoring. He has won many awards, including the doctoral student academic newcomer award of the Ministry of Education of China (MEC), the natural science and technology award of Hunan Province, the natural science and technology award of Chongqing City, and the excellent scientific research achievement award of the Ministry of Education of China (MEC). He has published over 60 papers and has more than 15 national patents. Since 2009, one of his interests has been the application of artificial intelligence technology to water treatment engineering systems. Currently, he is conducting research on neural network applications for monitoring drinking water plants based on the HMW framework and deep learning applications.
Dr. Guocheng Zhu obtained a Ph.D. in Municipal Engineering from Chongqing University, China. His postdoctoral work involves treating harmful substances through effective nanotechnology, remedying pollution in industrial wastewater, and reducing treatment costs for enterprises. At present, he is working at the Hunan University of Science and Technology (HUST). His interests focus on water pollution remediation and monitoring. He has won many awards, including the doctoral student academic newcomer award of the Ministry of Education of China (MEC), the natural science and technology award of Hunan Province, the natural science and technology award of Chongqing City, and the excellent scientific research achievement award of the Ministry of Education of China (MEC). He has published over 60 papers and has more than 15 national patents. Since 2009, one of his interests has been the application of artificial intelligence technology to water treatment engineering systems. Currently, he is conducting research on neural network applications for monitoring drinking water plants based on the HMW framework and deep learning applications.