Welcome Prof. Dazhi Jiang from Shantou University to be Committee Member!
日期：09/27/2019 点击量： 258次
Prof. Dazhi Jiang, Shantou University, China
Research Area:
Artificial intelligence, data mining, intelligent computing
Research Experience:
Prof. Dazhi Jang main courses include intelligent systems, algorithms and complexity, object-oriented programming, and web application technologies, etc.
His related research situation:
[Scientific Research Project] Research on Automatic Recognition of Emotional State for Non-contact, Unsteady and Long-Scale Physiological Signals (61502291), National Natural Science Foundation of China, 2016.01-2018.12, Project Leader
[Scientific Research Project] Multimodal physiological signal analysis research for VDT operators, Guangdong Provincial Project, 2016.01-2018.12, project leader.
[Scientific research topic] Health diagnosis research based on massive physical sign signal data, Guangdong Provincial Project, 2016.3-2019.3, project leader.
[Scientific Research Project] Research on Intelligent Perception Technology of Classroom Teaching Activities, Guangdong Provincial Project, 2016.3-2018.3, Project Leader.
[Scientific research topic] Automatic design of classification algorithm adaptability and its application in acute hypotension prediction, Guangdong Natural Science Foundation, 2013.10-2015.10, project leader.
[Scientific research topic] Evolutionary computing network topology analysis and its application in new algorithm design, Guangdong Science and Technology Department project, 2010.10-2012.10, project leader.
[Scientific research topic] Automated intelligent algorithm design and its application in wind farm layout optimization, Shantou Science and Technology Plan Project, 2011.12-2013.12, project leader.
Essay of technology:
A Hybrid Dual Kalman Filtering Model for Short-term Traffic Flow Forecasting
An evolutionary framework in modelling of multi-output characteristics of the bone drilling process
A hybrid method for overlapping speech detection in classroom environment
A Novel Hybrid Method for the Financial Time Series Forecasting
A hybrid method for overlapping speech detection in classroom environment, etc.
