BiographyDong Xunde was born in Zoucheng, Shandong Province in February 1985. In 2015, he obtained a Doctor of Engineering degree from the School of Automation Science and Engineering at South China University of Technology. From June 2015 to June 2017, he conducted post-doctoral research at the School of Mathematics of South China University of Technology. Since June 2017, he has been working as an assistant researcher and associate professor at the School of Automation Science and Engineering of South China University of Technology. From August 2019 to August 2020, he was funded by the China Scholarship Council to visit and study at the University of Sydney in Australia for one year.
His main research areas include intelligent medical signal analysis, sentiment analysis, deep learning, knowledge graphs, large language models, etc. He has published more than 50 SCI/EI papers. He has presided over 1 National Natural Science Foundation of China project, 3 Natural Science Foundation of Guangdong Province projects, and 2 projects of central universities. As the person-in-charge of his institution, he participated in 1 key project of the Joint Fund for Regional Innovation and Development and 1 original exploration project of the National Natural Science Foundation of China. As a key member, he participated in 2 major projects of the National Natural Science Foundation of China and also participated in many other projects. Education(1) 2010.09–2014.12: Ph.D. in Control Theory and Control Engineering, School of Automation Science and Engineering, South China University of Technology (2) 2008.09–2010.07: M.S. in Mathematics and Applied Mathematics, School of Mathematics, South China University of Technology (3) 2003.09–2007.07: B.S. in Mathematics and Applied Mathematics, School of Mathematical Sciences, Qufu Normal University Admission InformationWorkExperienceSocial PositionResearch AreasResearch areas include intelligent medical signal analysis, sentiment analysis, deep learning, knowledge graphs, large language models, etc. Courses TaughtArtificial Intelligence, Fundamentals of Electric Motors and Drives Research ProjectSelected PublicationsAchievementsPatentHonorSoftware achievement |