姓名：向艳萍 性别：女 E-mail：yanping_xiang@yahoo.com.cn
系别：软件技术系 职称：副教授 职务：
学历：博士研究生 电话：13808055237
研究方向：决策分析(Decision Analysis); 智能决策系统(Decision System); 自主计算(Autonomic Computing)
教育背景
1997年7月至2003年3月, 新加坡国立大学工业及系统工程系Department of Industrial & Systems Engineering)博士研究生,2003年3月获得工学博士学位。 1993年9月至1996年3月, 上海交通大学计算机科学与工程系硕士研究生, 1996年7月获得工学硕士学位。 1989年9月至1993年7月, 上海交通大学计算机科学与工程系本科生, 1993年7月获得工学学士学位。http://newshub.nus.edu.sg/headlines/0610/ranking_07oct06.htm
教学情况
招收硕士研究生要求
1.成绩优秀，勤奋，有研究兴趣的学生
2.准备硕士毕业后继续在国内外读博士的学生
课程：
软件开发技术 （英文课程）
离散数学 （双语课程）
科研情况
参与新加坡科技局和国防科技局的项目。所做的项目主要涉及医学生物和国防领域. 对财经,商业智能备领域也有所涉及.主要采用的研究方法是利用数据挖掘技术发现数据间的关系, 运用决策建模技术建立决策模型,表达这类关系，从决策模型中可获得最优的解决方案并可对将来同类情况有预测功能.
在国内外学术刊物上发表论文二十余篇,在国际一级学术会议UAI 发表论文1篇.
Machine Intelligence Group（Europe Top3），Department of Computer Science，Aalborg University, Denmark 保持紧密合作系（共同申报项目、 联合培养及推荐学生)共同发表研究成果如下:
Y.F. Zeng, Y.P Xiang and P. Saulius, Refinement of Bayesian Network Structures upon New Data, To Appear in International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2009.
The Innovative Computing Laboratory (ICL)（美国国家重点实验室）,University of Tennessee, Knoxville，USA 保持紧密合作系（共同申报项目、 联合培养及推荐学生)共同研究成果如下:
Yuanshun Dai, Yi Pan and Yanping Xiang Bionic Autonomic Nervous Systems for Self-Defense against DoS, Spyware, Malware, Virus and Fishing, submited to ACM Transactions on Autonomous and Adaptive Systems (TAAS).
参加新加坡国立大学SMAL Lab 项目开发, 提交七篇技术报告
参加的项目(Project)：
Advanced Planning & Decision System
This project is funded by the Defense Sciecne and Technology Agency's (DSTA) Defense Innovative Research Program and is in collaboration with Decision Support Solutions Center of DSTA. The fundamental goal of this project is to develop a set of advanced computational techniques and algorithms that facilitate the building of advanced planning systems for allocation of resources and intelligent decision systems that are capable of responding to sensory inputs and providing optimal course of action to decision makers in an uncertain and dynamic environment. The project will focus on the optimization of large-scale rosters that combines column generation with constraint programming, and the development of intelligent normative decision systems for automated reasoning and decision making in an uncertain and dynamic environment.
Intelligent Prognostic Analysis in Medicine.
This Agency for Science, Technology & Research (A*STAR) funded-project is in collaboration with the Department of Computer Science, Department of Medicine, the National Neuroscience Institute of Singapore, Johns Hopkins Hospital of USA, and ReasonEdge Technologies. This work aims to develop a set of advanced decision engineering techniques to support effective prognostic analysis in medicine; the resulting techniques will be incorporated into a set of prototype applications that automate clinical practice guideline generation in significant and time-critical health care domains. Prognostic analysis is a critical part of evidence-based medicine that emphasizes the effective use of information to improve quality, reduce variation, and manage resources in health care procedures. Prognostic analysis illuminates the natural, as well as the expected, post-intervention course and outcome of disease processes. It plays an important role in care management tasks, including cost-effective diagnostic test and treatment planning, prognostic prediction, pharmacoeconomic analysis, health technology and policy assessment, and clinical practice guideline generation.
获奖情况
备注
Yanping Xiang Ph.D(NUS)
Associate Professor
School of Computer Science and Engineering
University of Electronic Science and Technology of China
Chengdu, China
Mobile:+86 13808055237
Email:xiangyanping@gmail.com, yanping_xiang@yahoo.com.cn
Dr. Xiang is an Associate Professor at University of Electronic Science and Technology of University of China (UESTC), appointed by School of Computer Science and Engineering. Before joining UESTC, She was a Research Fellow of the Industrial & Systems Engineering Department of National University of Singapore. She received his PhD from National University of Singapore, and Bachelor from Shanghai Jiao Tong University. She has published many Articles on Top Journals and Conferences (including UAI, PRICAI, Computers in Biology and Medicine, Journal of the Operational Research Society, ......).
1)Y.F. Zeng, Y.P Xiang and P. Saulius, Refinement of Bayesian Network Structures upon New Data, To Appear in International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2009.
2)Xiang, Y.P, Zeng, Y.F, Zhu, W. and K.L. Poh (2008) An intelligent design system for military situation assessment. In Proceeding of the Intelligent System and Knowledge Engineering
3)Zeng, Y.F., Xiang, Y.P, and S. Pacekajus (2008) Refinement of Bayesian network structures upon new data. In Proceeding of the 2008 IEEE International Conference on Granular Computing.
4)Xiang，Y.P. and K.L. Poh (2006) A knowledge-based modeling system for time-critical dynamic decision-making. In Proceeding of the Ninth Pacific Rim International Conference on Artificial Intelligence. pp 212 - 221. Lecture Notes in Artificial Intelligence, Volume 4099.
5)Xiang，Y.P. and K.L. Poh (2005) Constructing Bayesian network in a changing world. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
6)Xiang, Y.P. and K.L. Poh (2004) Building bayesian network for probabilistic situation assessment. In E. Kozan (editor), Proceedings of the Fifth Asia-Pacific Industrial Engineering and Management Systems Conference 2004, pp 6.3.1-6.3.10, December, 2004
7)Xiang, Y.P. and K.L. Poh. (2002) Time-critical dynamic decision modeling in medicine. Computers in Biology and Medicine 32(2): 85-97,2002.
8)Xiang, Y.P. and K.L. Poh. (2002) Knowledge-based time-critical dynamic decision modeling. Journal of the Operational Research Society 53(1):