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Profile
I joined Tokyo Research Laboratory at 1987 and have been working in
several research areas: artificial intelligence for
Japanese proof-reading and constrint-based geometric reasoning;
database for data mining; and statistical
signal processing for digital watermarking, a.k.a.,
DataHiding.
After one year assignment (2000-2001) as an visiting research staff at
Princeton University, I focused on a network area and
develped a novel approach of application-layer multicast,
Peer-to-Group Grid Delivery,
for broadcasting live video and audio. A trial version of "P2G" is now
available at
IBM alphaWorks,
in which both server and client modules are included.
We have started a new project on automated system validation in a
system management area since 2005. We aim at
contributing to not only self-validation in Solution Install
but also performance verification after provisioning and deploying IT
systems, which is required by on demand data centers.
Senior Researcher at Tokyo Research Laboratory
shue@jp.ibm.com ⁄ +81-46-215-4887
LAB-S75-A, 1623-15 Shimotsuruma, Yamato-shi, Kanagawa 242-8502 JAPAN
Awards
External awards
- Best Paper Award in 1994, Japan Society of Artificial Intelligence (JSAI)
Major Publications
Journal papers
- Shimizu S., Numao M., "Constraint-based Design for 3D Shapes," Journal of Artificial Intelligence, vol.91, pp.51-69, 1997, Elsevier
- Shimizu S., Numao M., "幾何制約に基づく３次元形状の設計," Journal of JSAI, vol.9, no.1, pp.129-138, 1994
Conference papers
- Shimizu S., Nakamura T., Sugihara R., Masumitsu K., "Recursive Peer-to-Group Routing on a Network Hierarchy for Stable Overlay Multicast,", (hopefully) to be appeared in 2006
- Shimizu S., "Tree-Varying Multicast on an Overlay Network of Unreliable End Hosts," Proc. of CCNC2004, IEEE
- Shimizu S., "Performance Analysis of Information Hiding," Proc. of SPIE2002
- Shimizu S., "Performance Analysis of Data Hiding," Proc. of PCM2001, IEEE
- Shimizu S., Inoue K., Numao M., "An ATMS-Based Geometric Constraint Solver for 3D CAD," Proc. of 3rd Int'l Conf. on Tools for AI, pp. 292-290, IEEE (1991)
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