Mei Kobayashi  Mei Kobayashi photo       

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Advisory Researcher, IBM Tokyo Laboratory
5-6-52 Toyosu Koto-ku Tokyo 131-8511 JAPAN
  +81dash3dash5144dash2885

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Professional Associations

Professional Associations:  ACM SIGIR  |  ACM SIGMOD  |  Society for Industrial and Applied Mathematics

profile


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 has taught courses on Matrix Computation and Wavelets at the University of Tsukuba, Hiroshima University and the University of Electro-Communications, and has given 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), ACM International Conference on Knowledge Management (CIKM), IEEE COMPSAC, and ACM KDD Knowledge Discovery and Data Mining Conferences and recently Chaired the Big Data Track at IEEE COMPSAC 2012 in Kyoto. She is a Senior Member of the ACM and 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, 87(8), pp. 768-780, Aug. 2011 (online pub from Feb. 21, 2011).

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 RT0929pdf.

Mei Kobayashi, Blogging Around the Globe: motivations, privacy concerns and social networking, Chapter 46 in Computational Social Network Analysis 2011, Vol. 2, Edited by A. Abraham, Springer Series on Computer and Communication Networks. Earlier version available as IBM TRL Research Report RT0926pdf.

Mei Kobayashi, Mari Abe, Math Girls: Book Review for the American Mathematical Society, Notices of the AMS, Vol. 59, No. 7, pp. 956 - 960 pdf.

Mei Kobayashi, Cultural Differences in Social Media: trust & authority, Chapter in Roles, Trust, and Reputation in Social Media Knowledge Markets: theory and methods, S. Matei, E. Bertino (eds.), Springer. Earlier version available as IBM TRL Research Report RT0953pdf.

Mei Kobayashi, Yukiko Kobayashi, Shoshichi Kobayashi: From Kofu to Berkeley, invited paper submitted to Notices of the the American Mathematical Society, for special section edited by G. Jensen. Penultimate version available as IBM TRL Research Report RT0954pdf.

Mei Kobayashi, Resources for Studying Statistical Analysis of Biomedical Data and R. Submitted for publication to Interactive Knowledge Discovery and Data Mining: State-of-the-Art and Future Challenges in Biomedical Informatics,A. Holzinger (Ed.), Springer. Draft available as IBM TRL Research Report RT0958pdf.

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2014 Conferences for which I am a PCM:

Member, Technical Program Committee, COMPSAC 2014 July 21-25, Vasteras, Sweden

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