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This is the research page of Mr.Yan Qu, a first-year master student
in Artificial Intelligence, at the University of Georgia.
Yan Qu received his Bachelor degree in Computer Science with
Concentration on Software Engineering from the
University of Electronic Science and Technology of China, Chengdu in 2009.
Before coming to UGA, Yan had been a Software Engineer at Microsoft R&D China and a
Research Assistant at the Database Group at UESTC.
Yan's current research interest includes
Artificial
Intelligence, Web Service and Software Engineering. He is now working with Prof.Potter and Prof.Rasheed on
Machine Learning and Computational Intelligence.
You can download his CV at here and all
recommendations are available upon requests.
Research
Artificial Intelligence - Machine Learning,
Computational Intelligence
-Autonomous Learning in Snake-In-Box Problem (SIB)
This is an on-going research at AI
Institute. The purpose for the research is to find an efficient method to
crack the Snake-in-the-box problem with modern learning theory. We
formulate the problem environment as certain type and put rules for the
learning agent for path seeking. Research papers are planned to be written
when we progress.
I will be working on SIB this semester, if you have interests,
please give me an email. You can also refer to the SIB page
at AI institute for details.
-Fuzzy Expert System Framework and Application
 
Our main research is to build up the
fuzzy control system with Object-oriented techniques. A brand new framework
of fuzzy expert system which organize factual and rule information into
objects is raised. It is proved that this framework can be suitable for
various fuzzy inference models such as Mandami and other weighted model.
The project is currently funded by NNSF and Civil Aviation Administration
of China.The air traffic control expert system adopts the object-oriented
techniques to portray the aircrafts and other existing facts as well as air
traffic control instructions.
Software Engineering and Web Service Component Management
-Autonomous Software Testing Framework on Large scale Web Service
Normally refer as ASTFLW, it is a
framework unifying the quality assurance for Web Service. This framework
integrates the parameter factory, testing adapter and testing driver
together and adopts "matrix impact analysis" which is an
efficient software evaluation platform to assess the software quality. The
framework can be implemented under C# and Xml techniques.
-GIS application with COM-based techniques(IBM Tech Center)
This project is associated with ESRI-CHINA at IBM Technology Center,
Chengdu. In order to improve the limitations of ArcObjects library in
application developing, we proposed a novel hierarchical structure of
ArcObjects. We designed and implemented this GIS system with user-defined
interface based COM techniques. With the advanced structure, the original components
can extend their functions greatly.
Projects
-Exciting Projects when I was in Microsoft
Windows Live Video Message
Windows Live Search for Devices
-Autonomous Mobile Robot with Face Recognition
  
Advisor: Dr.Xiao-xi He
The face recognition function is implemented with high-speed CCD camera.
My work focus on the image initialization processing and compression in
order to save the limited memory space and enhance the efficiency.
Papers
Technical Reports:
Ya-ru Bai,Yan Qu,Xin Lu," Research of GIS application
development based on ArcObjects components", IBM Technology
Center",2007-1021,Chengdu,China( pdf)
Conf. Paper:
Yan Qu,Tao Fu, Huizhong Qiu, "A Fuzzy Expert System Framework
Using Object-oriented Techniques", IEEE PACIIA 2008 , Wuhan , China. pdf.
Advanced
Courses and Activities
Fall 2009
CSCI/PHIL 6550 Artificial Intelligence
CSCI/ARTI 6540 Symbolic Programming
PHIL/LING 6510 Deductive System
ARTI 8800 AI Seminar
ARTI 8000 Master's Research
Contact Information:
Office 114 in Suite 111,
Boyd Graduate Studies and Research
Center,
Athens, Georgia 30605
United States
E-mail: yanqu@uga.edu (For academic
purpose only)
frankqyan@gmail.com (Anything else)
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