Ping Yan

Ph.D. Candidate

Management Information Systems, Eller College of Management

The University of Arizona

McClelland Hall, Room 430V, 1130 E. Helen Street, Tucson, Arizona 85721

Email: pyan@email.arizona.edu

http://www.u.arizona.edu/~pyan/

Phone: +1(520) 989-1414

Fax: +1(520) 621-2433

RESEARCH INTERESTS

Knowledge Discovery

Knowledge Management

Business Intelligence

Web Intelligence

Consumer Behavior Research

TEACHING INTERESTS

Introduction to MIS Information Technologies Operations Management Programming Languages

System Analysis and Design Electronic Commerce Database Management Systems

ACADEMIC PREPARATION

Ph.D. in Management

          ?The Eller College of Management, University of Arizona

          ?Major: Management Information Systems

          ?Minor: System Industrial Engineering (SIE)

                                  ?Dissertation Title: Spatial-Temporal Data Analytics and Consumer Shopping Behavior Modeling

        ??/span>Dissertation committee: Daniel D. Zeng (chair), Sudha Ram, Yong Liu (Marketing), Ferenc Szidarovszky (SIE)

          ?MIS Core Courses:

                      ?Enterprise Database Management Behavioral Research Methodologies

                      ?Readings in MIS Web Computing and Mining

                      ?System Analysis and Design Fundamentals of Networking?                      ?

                      ?Design Science Research        ? Models for Quantitative Analysis

?        ?System Industrial Engineering (SIE) Core Courses:

Linear Programming              ?Fundamentals of Optimization

                      ?Stochastic Modeling              ?Game Theory

Master of Science

          ?The Chinese University of Hong Kong, Hong Kong, 2004

          ?Major: Computer Science

Bachelor of Science

          ?The University of Science and Technology of China (USTC), China, 2002

          ?Major: Computer Science

PUBLICATIONS

Ping Yan and Daniel D. Zeng (2009). “In-store Shopping Activity Modeling based on Dynamic Bayesian Networks,?Proceedings of the Nineteenth Annual Workshop on Information Technologies and Systems (WITS'09), Phoenix, AZ, December 14-15.

Ping Yan and Daniel D. Zeng (2009). “Spatial Movement Pattern Discovery with LCS-based Path Similarity Measure,?Proceedings of the 15th Americas Conference on Information Systems (AMCIS), San Francisco, CA, August 6-9.

Ping Yan, Daniel D. Zeng and Hsinchun Chen (2008). “Syndromic Surveillance Systems: Public Health and Biodefense,?i style='mso-bidi-font-style: normal'> Annual Review of Information Science and Technology (ARIST), Vol. 42, pp. 425-495.

Ping Yan, Daniel D. Zeng (2008) “Clustering Customer Shopping Trips With Network Structure,?i style='mso-bidi-font-style:normal'> Proceedings of International Conference on Information Systems (ICIS 2008), Paris, France. December 14-17.

Daniel D. Zeng, Ping Yan, Su Li (2008). “Spatial Regression-Based Environmental Analysis in Infectious Disease Informatics,?Proceeding of Biosurveillance and Biosecurity Workshop: Systems and Algorithms (BioSecure 2008). Raleigh, North Carolina. December 2. pp. 175-181.

Ping Yan, Zhu Zhang, and Ray Garcia. (2007). “Automatic Website Comprehensibility Evaluation,?Proceedings of the IEEE/WIC/ACM international Conference on Web Intelligence (WI 2007). IEEE Computer Society, Fremont, CA. November 2-5. pp. 191-197.

Runpu Sun, Daniel D. Zeng and Ping Yan (2006). “A Network-based Burst Detection Method in Data Streams,?Proceedings of the Fifth Workshop on e-Business (WeB 2006), Milwaukee, Wisconsin, December 9.

Ping Yan, Daniel D. Zeng and Hsinchun Chen (2006). “A Review of Public Health Syndromic Surveillance Systems,? Proceedings of IEEE conference on Intelligence and Security Informatics (ISI). San Diego, CA. May 23-24. pp. 249-260.

MONOGRAPH

Hsinchun Chen, Daniel D. Zeng and Ping Yan (2009). “Biosurveillance and BioDefense: An Infectious Disease Informatics Approach,? Springer. In press.

BOOK CHAPTER

Daniel D. Zeng, Hsinchun Chen, and Ping Yan (2007). “Infectious Disease Informatics and Syndromic Surveillance,?Digital Government, Chapter 26, Springer.

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PAPERS UNDER REVIEW

Ping Yan, Daniel D. Zeng and Yong Liu (2009). “Real-time Recommender Systems for Brick-and-Mortar Retailers: A RFID-enabled Shopping Path Approach,?submitted to Management Science.

PAPER IN PREPARATION

“Shopping Path Clustering and Customer Segmentation,?with Daniel D. Zeng. Target Journal: Journal of Management Information Systems.

?/span>“Spatial Analysis in Retail Space,?with Daniel, D. Zeng. Target Journal: Journal of American Society for Information Science and Technology (JASIST).

“Learning and Inferring Customer In-store Shopping Activities with Dynamic Bayesian Networks,?with Daniel D. Zeng. Target Journal: IEEE Intelligent Systems.

“Deciphering a Customer’s Shopping Decisions- Viewing a Customer Shopping Trip as Driven by Multiple Concurrent Shopping Goals? with Daniel D. Zeng, Hsinmin Lu. Target Journal: Information Systems Research.

PROFESSIONAL EXPERIENCE

Research Associate

Intelligent Systems and Decision Lab University of Arizona     ?/span> 2005-present

My research focuses on spatial-temporal data analytics and modeling. I have produced significant research results on developing and evaluating innovative techniques for mining static and dynamic spatial-temporal patterns and applying these techniques in the context of consumer in-store shopping activity modeling and prediction.

Research Associate                                  ?

    ? Artificial Intelligence Lab                  ? University of Arizona   ?/span>2005-present

My research project in the AI lab focuses on analyzing and evaluating multiple public health information systems, as part of the research effort for the development of the BioPortal?system (funded by National Science Foundation NSF ITR Grant, "A National Center of Excellence for Infectious Disease Informatics," 2004-2009), a cross-jurisdictional, integrated information sharing and data analysis environment for public health surveillance.

Research Associate

    ?Flandrau Science Center                                ?University of Arizona            ?2007-2008

Designed and developed a Web-based knowledge management system that guides, personalizes, organizes, and shares knowledge as it is being constructed for self-directed learning on the Web.

Instructor

    ?Eller College of Management         ?/span>University of Arizona      ??/span>Summer 2009

MIS 373 Basic Operations Management

Intern

    ?Microsoft Research Asia (MSRA)              ? Beijing          ?                ?/span>?/span>Spring 2005

    ?Served as a public relation specialist, involved in fostering partnership between MSRA and academic communities across the Asia-Pacific region for innovative research and advanced education.

Teaching Assistant

    ?The Chinese University of Hong Kong Hong Kong 2003 ?2005

    ?- Introduction of Computer Programming, Spring 2004

    ?- Data Communications and Computer Networks, Spring 2004

    ?- Data Structure, Spring 2003

Research Associate

    ?The Chinese University of Hong Kong Hong Kong 2003 ?2005

    ?My research focused on network security issues: intrusion detection, flooding attack identification and prevention with IP traceback algorithms.

Software Project Management

    ?DigiPower Software Development Ltd. Shanghai                       ?/span>2002 ? 2003

    ?Developed DBMS applications for Shanghai Statistics Bureau.

OTHER PROFESSIONAL ACTIVITIES

Student member of INFORMS, and Association of Information Systems, 2006-present

Reviewed manuscripts for the following journals and conferences:

Journals: Information Systems Research (ISR), Decision Support Systems (DSS), International Journal of Knowledge and Information Systems (KAIS), Journal of Database Management, IEEE Intelligent Systems

Conferences: the 15th Americas Conference on Information Systems (AMCIS 2009), IEEE International Conference on Intelligence and Security Informatics (2009), Annual Workshop on Information Technologies & Systems (WITS 2007), Biosurveillance and Biosecurity Workshop (BioSecure 08)

HONORS AND AWARDS

2005-present	Tuition Scholarship and Graduate Assistantship, National Science Foundation
May 2004	The Division First Runner-up in the Moot Corp Competition (“The Super Bowl of World Business-Plan Competition? at University of Texas at Austin, USA
June 2004	Winner of the Young Entrepreneurs Development Council (YDC) E-Challenge 2004 Business Plan Competition, Hong Kong
January 2004	The First Prize of the Chinese University of Hong Kong (CUHK) 2004 New Venture Business Plan Competition, Hong Kong
July 2002	Graduated with Magna Cum Laude, USTC
1999-2001	Excellent Academic Awards, USTC

IS TECHNICAL SKILLS

Programming Languages: Matlab, R, Java, C, Perl, Python, .NET, SQL

Computer Applications: SPSS, MS Office, MS Visual Studio, Adobe Photoshop

Operating Systems: MS-DOS, MS Windows XP/VISTA, Unix, Linux

Database Systems: MS SQL Server, MySQL

Internet Technologies: HTML, XML, Applet, Servlet, JSP, JDBC, Apache, PHP