User:Oyz

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SungEun Jo
Hangul 조성은
Hanja 趙成殷
Revised Romanization Jo SeongEun

oyz is a nick-name for SungEun Jo.

He was born in Seoul, Korea, in 1974. He received the B.Sc., M.Sc. and Ph.D. degrees in electronic and electrical engineering from Pohang University of Science and Technology (POSTECH), Pohang, Korea, in 1997, 1999 and 2005, respectively.

He is currently a postdoctoral researcher with the Computer Science Department, Stanford University, Stanford, CA, where he is working for Prof. Gene H. Golub, investigating real-time algorithms relating to total least squares (TLS). His research interests include numerical methods and optimization for systems and control, data analysis based on TLS or errors-in-variables (EIV) modeling, and applications of equality constrained minimization in adaptive algorithms such as the affine projection algorithm and the normalized LMS filtering.

Contents

[edit] Contribution on wikipedia

  • What I created

Bidiagonalization, Block matrix pseudoinverse, Simple rational approximation, Secular function, Errors-in-variables model, Block LU decomposition.

  • What I revised

Trace (linear algebra), Least squares, Secular equation, QR decomposition, Matrix inversion lemma.

[edit] Curriculum vitae

  • Objective
Research position in signal processing and data analysis
  • Mail address

Cooperate R&D Institute, Samsung Electro-Mechanics, 314, Maetan3-Dong, Yeongtong-Gu Suwon, Gyunggi-Do, Korea 443-743

  mailto:s.jo@ieee.org

[edit] Research interests

  • Signal processing based on Matrix analysis
Identifying MIMO systems, and estimating model/data uncertainty via total least squares (TLS).
Approximating low-dimensional SVD with low-complexity or near-closed form.
Combining Bi-/Tri-diagonal or Hessenberg-like decomposition with MIMO modem algorithms.
Revealing the connection between redundant decomposition seeding and MIMO pre-coding/beam-forming.
  • Data analysis in adaptive filtering
Analyzing and stabilizing adaptive least-square filters and real-time algorithms in a view of regularization.
Parallelizing least squares algorithms based on projection subspaces.
Investigating sampled data or matrix based on Principal/Minor component analysis (PCA and MCA) or singular subspaces.
  • Algorithms in embedded systems
Programming a prototype of FPGA based on a good knowledge of hardware interface in real-time applications.
Implementing numerical algorithms to update matrix factorizations based on plane rotations and/or reflections.
Realizing other complex algorithms on embedded sampled data acquisition systems.
  • Robust least squares approach by means of seqular equation to get around sensitivity problems
Interpretating errors-in-varables modeling as a non-stastical data-fitting method.
Developing an efficient implementation of regularized TLS.
Innovating various constraints on secular functions of TLS.

[edit] EDUCATION

Dissertation: Consistent Adaptive Algorithms using Noise Variance Estimation and Errors-in-Variables Modeling
Advisor: Prof. Sang Woo Kim
  • MS (1999) and BS (1997) in Electronic and Electrical Engineering, POSTECH
Master Thesis: Normalized Iterative Feedback Tuning with a Convex Criterion Function
Advisor: Prof. Jin S. Lee

[edit] EXPERIENCE

  • 2007 - present: Senior Engineer, WS lab., Samsung Electro-Mechanics, Suwon, South Korea.
  • 2005 – 2007: Visiting Postdoctoral Scholar, Computer Science Department, Stanford University, Stanford, California, USA
Faculty Sponsor: Prof. Gene H. Golub
Investigates the application of singular value decomposition (SVD), total least squares (TLS) and secular equations.

Faculty sponsor: Prof. V. Balakrishnan
Conducted a research on unbiased adaptive filtering.
  • 1999 – 2005: Research and Teaching Assistant, Intelligent System & Control lab., POSTECH
Developed embedded system for DC Drive 3-Phase Power Monitor including circuit schematics and PCB layout.
Programmed applications to detect voltage dips and excess currents on power lines, and to signal trips to circuit brakers.
Set up the lab. of Intel MCS-51 Processor Application: DC Motor Speed Control.
  • 1997 – 1999: Research and Teaching Assistant, Robotics & Automation Lab., POSTECH
Developed Network Interface Device for Programmable Logic Controller.
Set up the lab. of Music Player and Stepper Motor Controller through PC parallel port and Intel 8086 Trainer Kit.

[edit] GRANTS

[edit] TALK

  • Linear Algebra / Optimization Seminar, Fall Quarter at Stanford University, Stanford, CA, December 7, 2005.
Least Squares Problems with Equality Constraints on Residuals: TLS, DLS and Partial Data Analysis using Secular Equations

[edit] PUBLICATIONS

[edit] Journal

  • [1] S. Jo and S. W. Kim, "Consistent normalized least mean square filtering with noisy data matrix," IEEE Trans. Signal Processing, vol. 53, no. 6, pp.2112-2123, Jun. 2005.
  • [2] S. Jo, S. W. Kim and Jin S. Lee, "Normalized iterative feedback tuning with time constraints," IEICE Trans. Fundamentals, vol. E84-A, no.2, pp.681-687, Feb. 2001.

[edit] Conference

  • [3] S. Jo, S. W. Kim and T. J. Park, "Equally constrained affine projection algorithm," in Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 955-959, Nov. 7-10, 2004.
  • [4] S. Jo and S. W. Kim, "Normalized feedback iterative tuning with modified feedback experiment," in Proc. American Control Conference, pp.612-617, 2001.
  • [5] S. Jo and S. W. Kim, "Normalized iterative feedback tuning with PD-type modified feedback experiment," in Proc. IEEE International Symposium on Industrial Electronics, pp.1192-1197, 2001.
  • [6] S. Jo, S. W. Kim, P. Park, J. S. Lee and T. J. Park, "Normalized iterative feedback tuning with blended control criteria," in Proc. IASTED International Conference on Control and Application, pp.198-204, 2000.

[edit] In revision

  1. S. Jo, G. H. Golub and S. W. Kim, "Recursive update algorithms of matrix factorizations for regularized RLS adaptive filters," submitted in IEEE Trans. Signal Processing, Feb. 2006.
  2. G. H. Golub, S. Jo and S. W. Kim, "Solving secular equations for total/data least squares problems," submitted in SIAM Journal on Matrix Analysis and Applications, May 2006.
  3. G. H. Golub, S. Jo and Z. Su, "Solving secular equation for TLS/DLS by Gauss quadrature rules," preparing to submit, May 2006.
  4. W. Gander, G. H. Golub, M. Gu and S. Jo, "Solving TLS/DLS problems by means of bi-diagonalization and secular equation," preparing to submit, June 2006.

[edit] PROFESSIONAL ACTIVITIES

[edit] TECHNICAL SKILLS

[edit] Other Notes

  • COURSE WORK HIGHLIGHTS at POSTECH
System Identification Theory (EECE628); Estimation Theory (EECE627); Linear Optimal Control (EECE692H);
Introduction to Neural Networks (EECE553); Network Theory (EECE695M)

[edit] See also

Jo's Resume for postdoc position