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Dr. Gao Zhiqiang was born in 1966, Hebei Province. After obtaining B. A. and M. D. from Southeast University, He entered Tsinghua University and got Ph. D from Department of Mechanical Engineering in 1995. After graduation, he worked for National CAD Application and Training Network--Nanjing Center, as well as Department of Mechanical Engineering of Southeast University. As a Post Doc, he went to Japan in 2000 to do researches on Digital City and Artificial Intelligence in Department of Social Informatics, Kyoto University. A new job was started from Oct. 2002 as an associate professor for Department of Computer Science and Engineering, Southeast University. In Dec. 2007, He joined the Institute of Web Science (IWS) to study Ontology Learning and Natural Language Processing, as well as large scale reasoning.

He is interested in almost everything, such as material science and manufacturing, numerical simulation of heat transfer and fluid flow, CAD, CG, Visualization, VR, game theory, agent oriented programming, Semantic Web, knowledge capture, web mining, military simulation, as well as philosophy, traveling, basketball and Taijiquan. He was concentrated in human-like and conversational agent, multi-agent system, agent oriented programming and machine learning. A project was launched in 2003 about interactive multi-agent system used for shooter training simulation, in which agents are hosted by Augmented Reality. He has to construct 3D buildings and terrains, design and debug scenarios, and recognize behavior of shooters in the real world. Although this project is more complicated than designing ordinary CG games, it is much more interesting and challenging. He is also involved in 973 project for semantic grid.  Recently, He is responsible for two NSFC (National Science Foundation of China) projects, which are related to ontology learning and inductive logic programming.

Speech recognition, text understanding and image recognition are faced with the same puzzles, and natural language processing is one of the best test bed for various innovative AI ideas. Machine Learning may play a key role in these fields in the future. Additionally, semantic annotation of 3D environments for multi-agents to plan and act "rationally" is an important branch of Semantic Web. He firmly believes that a new era for search engine based on deep NLP, Machine Learning and large scale reasoning is coming.

   
 
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