Mei Kobayashi

Mei Kobayashi graduated from Princeton University with an A.B. in Chemistry and the University of California at Berkeley with an M.A. and Ph.D. in Pure and Applied Mathematics. She has been a Researcher at IBM for over 20 years, during which she worked on developing algorithms to solve inverse problems, simulations in low-end DASDs, wavelet analysis for speech synthesis, data hiding, information retrieval, data mining, and web log analysis. Recently, Mei was a Technical Assistant to the Director.

While at IBM, Mei taught courses on Matrix Computation and Wavelets at the University of Tsukuba, Hiroshima University and the University of Electro-Communications, and gave lectures on data mining at the Waseda University Digital Campus Consortium and the Kyoto University Global Center of Excellence. She was a Visiting Professor at the Graduate School of Mathematical Sciences at the University of Tokyo for three years. Mei's research interests include computational chemistry, numerical analysis, matrix computations, signal processing, wavelets, information retrieval and data mining. She has served on Technical Program Committees of SIAM International Conference on Data Mining and Text Mining Workshops, IAPR International Conference on Pattern Recognition (ICPR) and ACM KDD Knowledge Discovery and Data Mining Conferences and is a Member of the Editorial Board of the Communications of the ACM.

Prior to joining IBM she worked at Lawrence Berkeley Laboratories as an undergraduate and graduate student intern in the biochemistry and math/physics divisions and as a Teaching Assistant/Grader for the Chemistry, Astronomy, and Mathematics Departments at the Graduate School of Arts & Sciences of Harvard University and the College of Letters and Sciences at the University of California at Berkeley.

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Recent Publications

Arquimedes Canedo, Takeo Yoshizawa, Hideki Komatsu, Mei Kobayashi, RK-Slim: Embedded Runge-Kutta without the Excess Baggage, International Journal for Numerical Methods in Engineering, Feb. 21, 2011 (online pub).

Masaki Aono, Mei Kobayashi, Text document cluster analysis through visualization of 3D projections, to be published in K. Yada, Data Mining for Service, Springer Series on Studies in Computational Intelligence. Earlier version available as IBM TRL Research Report RT0929.

Mei Kobayashi, Blogging Around the Globe: motivations, privacy concerns and social networking, to be published, Chapter 46 in Computational Social Network Analysis 2011, Vol. 2, Edited by Ajith Abraham and Aboul Ella Hassanien, Springer Series on Computer and Communication Networks. Earlier version available as IBM TRL Research Report RT0926.

Mei Kobayashi, Mari Abe, Math Girls: Book Review for the AMS, IBM TRL Research Report RT0936.

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2012 Conferences for which I am a PCM:

ACM KDD 2012 Knowledge Discovery and Data Mining Conference, Industry Track - Call for papers: Papers due Feb. 10, Acceptance notification: May 4th, 2012

SIAM 2012 Text Mining Workshop: Papers Due: January 13, 2012, Notifications sent: February 3, 2012, Camera ready (final papers) due to workshop: February 10, 2012.

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