Yajun Mei                          Yajun Mei

          Assistant Professor
            School of Industrial and Systems Engineering
            Georgia Institute of Technology
            Phone: (404) 894-2334
            Fax: 404-894-2301
            Email: ymei AT isye.gatech.edu

           

Mailing Address:

School of Industrial and Systems Engineering
Georgia Institute of Technology
Atlanta, GA 30332-0205

Bio:

I received a B.S. in Mathematics in 1996 from Peking University, P.R. China, and a Ph.D. in Mathematics with a minor in Electrical Engineering in 2003 from the California Institute of Technology, Pasadena, CA. I have also worked as a Postdoc in Biostatistics for two years in the Fred Hutchinson Cancer Research Center in Seattle, WA. My current research interests include change-point problems and sequential analysis in Mathematical Statistics; sensor networks and information theory in Engineering; as well as longitudinal data analysis, random effects models, and clinical trials in Biostatistics.

Selected Publications

  1. Y. Mei, “Is average run length to false alarm always an informative criterion?” Submitted to Sequential Analysis, 2007.
  2. Y. Mei, “Asymptotic optimality theory for decentralized sequential hypothesis testing in sensor networks,” IEEE Transactions on Information Theory, vol. 54, issue 5, page 2072-2089, 2008.
  3. Y. Mei, L. Wang, and S. E. Holte. “A comparison of methods for determining HIV viral set point.” Statistics in Medicine, vol. 27, issue 1, page 121-139, 2008.
  4. Y. Mei, “Information bounds for decentralized sequential detection.” In Proc. IEEE International Symposium on Information Theory (ISIT), page 2647- 2651, Seattle, WA, July 2006.
  5. Y. Mei, “A discussion on ‘Detection of intrusions in information systems by sequential change-point methods’ by Tartakovsky, Rozovskii, Blazek, and Kim”. Statistical Methodology, vol. 3, issue 3, page 304-306, July 2006.
  6. Y. Mei, Suboptimal properties of Page’s CUSUM and Shiryayev-Roberts procedures in change-point problems with dependent observations. Statistica Sinica, vol. 16, page 883-897, 2006.
  7. Y. Mei, Comments on “A note on optimal detection of a change in distribution” by Benjamin Yakir  The Annals of Statistics, vol. 34, no. 3, page 1570-1576, 2006.
  8. Y. Mei, Sequential change-point detection when unknown parameters are present in the pre-change distribution. The Annals of Statistics, vol. 34, no. 1, page 92-122, 2006.
  9. Y. Mei, Information bounds and quickest change detection in decentralized decision systems. IEEE Transactions on Information Theory, vol. 51, issue 7, page 2669-2681, 2005.
  10. Y. Mei, Asymptotically optimal methods for sequential change-point detection. Ph.D. thesis, 2003.

 

Course(s) Taught

  • Spring 2009
    • ISyE 2027C – Probability With Applications
  • Spring 2008
    • ISyE 8803A – Biostatistics
  • Fall 2007:
    • ISyE 6412A – Theoretical Statistics 
  • Spring 2007:
    • ISyE 8803D – Biostatistics 
  • Fall 2006:
    • ISyE 2028A – Basic Statistical Methods 
  • Spring 2006:
    • ISyE 8813D – Biostatistics