E-mail: sito Fax(shared): +81-42-526-4339 Date of Birth: February, 1962 Education: March 1985 B.S. in Instrumentation Engineering, Keio University March 1987 M.S. in Instrumentation Engineering, Keio University March 1991 Ph.D. in Instrumentation Engineering, Keio University Degree: Ph.D. in Engineering, Keio University, 1991, Title of Ph.D Thesis: Optimization in Banach spaces with applications to constrained optimal control problems. Employment: April 1991 Assistant Professor, Division of Numerical Optimization, Department of Prediction and Control, ISM March 1993 Visiting Assistant Professor, Department of Mathematics, North Carolina State University April 1997 Associate Professor, Division of Research and Development II, Center for Development of Statistical Computing, ISM April 2005 Associate Professor, Computational Mathematics Group, Department of Mathematical Analysis and Statistical Inference, ISM Research Fields: Mathematical Programming, Numerical Analysis, Control Engineering Research Themes: Theory and computational methods of infinite-dimensional optimization, Control systems design under uncertainty, Theory and applications of Newton's method in function spaces, Theory and computational methods of optimal control

Selected Papers
(1) Ito, S. and Shimizu, K. (1990), Necessary conditions for constrained optimal control problems via mathematical programming, Numer. Funct. Anal. Optim.,11(3/4), 267-281.-3/4
(2) Ito, S. and Shimizu, K. (1991), Dual quasi-Newton algorithms for infinitely constrained optimization problems (in Japanese), Transactions of the Society of Instrument and Control Engineers, 27(4), 452-457.
(3) Shimizu, K. and Ito, S. (1994), Constrained optimization in Hilbert space and a generalized dual quasi-Newton algorithm for state-constrained optimal control problems, IEEE Trans. Autom. Contr., 39(5), 982-986.
(4) Ito, S., Kelley, C. T. and Sachs, E. W. (1995), Inexact primal-dual interior point iteration for linear programs in function spaces, Comput. Optim. Appl., 4(3), 189-202.
(5) Shimizu, K. and Ito, S. (1996), Direct steepest descent control of nonlinear dynamical systems, Nonlinear Control Systems Design 1995, Pergamon, 801-806.
(6) Ito, S. (1997), Numerical methods of nonlinear optimal control based on mathematical programming, Nonlinear Anal., 30(6), 3843-3854.
(7) Ito, S. (1998), Optimality and duality of semi-infinite programming (in Japanese), Proceedings of the Institute of Statistical Mathematics, 46(2), 345-358.
(8) Liu, Y., Teo, K. L. and Ito, S. (1999), A dual parametrization approach to linear-quadratic semi-infinite programming problems, Optim. Methods Software, 10(3), 471-495.
(9) Ito, S., Liu, Y. and Teo, K. L. (2000), A dual parametrization method for convex semi-infinite programming, Annals of Operations Research, 98, 189-213.
(10) Liu, Y, Ito, S., Lee, J. H. W. and Teo, K. L. (2001), A semi-infinite programming approach to continuously constrained LQ optimal control problems, Journal of Optimization Theory and Applications, 108(3), 617-632.
(11) Shimizu, K and Ito, S. (2001), Modified direct gradient descent control of nonlinear systems, Optimization Methods and Applications, Kluwer Academic Publishers, 139-149.
(12) Liu, Y, Teo, K. L. and Ito, S. (2001), Global optimization in quadratic semi-infinite programming, Computing, 15, 119-132.
(13) Ito, S., Liu, Y. and Teo, K. L. (2004), An approximation approach to non-strictly convex quadratic semi-infinite programming, Journal of Global Optimization, 30(2/3), 195-206.
(14) Shimizu, K., Ito, S. and Suzuki, S. (2005), Tracking control of general nonlinear systems by a direct gradient descent method, Nonlinear Dynamics and Systems Theory, 5(1), 91-105.
(15) Ito, S. (2007), Bilateral cutting plane iteration for solving general capacity problems, Optimiztion: Modeling and Algorithms 20, ISM Cooperative Research Report 203, 243-254.

Membership of Academic Societies
SICE, ISCIE, JSIAM, JORSJ, JSS, IEEE (Control Systems Society etc.), INFORMS, MPS, SIAM

Professional Services
Visiting research positions at University of Western Australia, Curtin University of Technology, Hong Kong Polytechnic University, National Cheng Kung University and RMIT Univeristy

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