Dr. Zhao Lu
Assistant Professor
Department of Electrical Engineering
Tuskegee University
Tuskegee, AL 36088
Phone: 334-724-4864
Email: zlu@ieee.org
Education
Doctor of Philosophy in Electrical Engineering, University of Houston, Houston, Texas, USA.
Graduation Date: May 2004
Master of Engineering in Control Theory and Engineering, Nankai University, Tianjin, China.
Graduation Date: June 2000
Bachelor of Engineering in Computer Engineering, Tianjin Polytechnic University, Tianjin, China.
Graduate Date: June 1996
Research Interests
- Machine Learning and Pattern Recognition
Kernel machines, Support vector learning, Automatic target recognition
- Cybernetics and Optimization
Sliding mode control, Nonlinear and adaptive control, Nonlinear systems identification
Wavelets, Integral equations, Dynamic systems and chaos
Professional Experience
2007-current Assistant Professor in Tenure Track, Department of Electrical Engineering, Tuskegee University, Tuskegee, Alabama, USA.
2010 summer Assistant Research Scientist, Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan, USA.
2007 summer Consultant, Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan, USA.
2005-06 Research fellow, Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, Michigan, USA.
2004-05 Post-doctoral research fellow, Department of Electrical and Computer Engineering, Wayne State University, Detroit, Michigan, USA.
2001-04 Research & Teaching Assistant, Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, USA.
Patent
Linear Programming Support Vector Regression with Wavelet Kernel (US 20090063115A1)
Inventor: Zhao Lu, Jing Sun and Kenneth R. Butts
Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
Asymmetric Wavelet Kernel in Support Vector Learning for Identifying the Parallel Model of Nonlinear Dynamical Systems, pending
Inventor: Zhao Lu, Jing Sun and Kenneth R. Butts
Assignee: Toyota Motor Engineering & Manufacturing North America, Inc
Teaching
EENG 590U Mathematical Optimization
EENG 537 Random Variables & Stochastic Processes
EENG 521 Complex Variables and Analysis
EENG 493M Linear and Matrix Algebra
EENG 324 Digital Signal Processing
EENG 333 Electromagnetic Field
Memberships
- IEEE (Institute of Electrical and Electronics Engineers)
- AIAA (American Institute of Aeronautics and Astronautics)
- ILAS (International Linear Algebra Society)
Selected Publications
Book Chapters
[1] Lu, Z. and J. Sun. "Soft-constrained Linear Programming Support Vector Regression for Nonlinear Black-box Systems Identification", In Artificial Intelligence for Advanced Problem Solving Techniques, Eds. D. Vrakas and I. Vlahavas. Information Science Reference Publishing, Feb. 2008.
[2] Lu, Z., L.S. Shieh, and G.R. Chen. "A new topology for high-order neural networks - polynomial kernel networks", In Artificial Higher Order Neural Networks for Economics and Business, Eds. M. Zhang. Information Science Reference Publishing, July 2008.
[3] Lu, Z., G. Song, and L.S. Shieh. "Improving sparsity in kernelized nonlinear feature extraction by polynomial kernel higher order neural networks", In Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications, Eds. M. Zhang. Information Science Reference Publishing, March 2010.
[4] Liang, R., R.A. Palomino, Z. Lu, V. Mandal, D. Kumar. "FM-GA and CM-GA for gene microarray analysis", In Advances in Computational Biology, Springer Publishing, 2010.
Selected Journal publications
[5] Lu, Z., J. Sun, and K. Butts, "Linear programming SVM-ARMA2K with application in engine systems identification", IEEE Trans. on Automation Science and Engineering, 8(4): 846-854, 2011.
[6] Lu, Z., L. Liang, G. Song, and S. Wang. "Polychotomous kernel Fisher discriminant via top-down induction of binary tree", Computers and Mathematics with Applications (Elsevier), 60(3): 511-519, 2010.
[7] Lu, Z. and J. Sun, "Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification", Applied Soft Computing (Elsevier), 9(1): 94-99, 2009.
[8] Lu, Z., J. Sun, and K. Butts. "Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification", Mathematics and Computers in Simulation (Elsevier), 79(7): 2051-2063, 2009.
[9] Lu, Z., F. Lin, and H. Ying. "Design of decision tree via kernelized hierarchical clustering for multi-class support vector machines", Cybernetics and Systems (Taylor & Francis), 38(2): 187-202, 2007.
[10] Lu, Z., L.S. Shieh, G.R. Chen, and J. Chandra. "Identification and control of chaotic systems via recurrent high-order neural networks", Intelligent Automation and Soft Computing, 13(4): 357-372, 2007.
[11] Lu, Z., L.S. Shieh, G.R. Chen, and N.P. Coleman. "Adaptive feedback linearization control of chaotic systems via recurrent high-order neural networks", Information Sciences (Elsevier), 176(16), 2337-2354, 2006.
[12] Lu, Z., F. Lin, and H. Ying. "Multiple sliding surface control for systems in nonlinear block controllable form", Cybernetics and Systems (Taylor & Francis), 36(5): 513-526, 2005.
[13] Lu, Z., L.S. Shieh, G.R. Chen, and N.P. Coleman. "Simplex sliding mode control for nonlinear uncertain systems via chaos optimization", Chaos, Solitons & Fractals (Elsevier), 23(3): 747-755, 2005.
[14] Lu, Z., L.S. Shieh, and J. Chandra. "Tracking control of nonlinear systems: a sliding mode design via chaotic optimization", Int. J. Bifurcation and Chaos (World Scientific), 14(4): 1343-1355, 2004.
[15] Lu, Z., H. Lu. "Adaptive tracking control of chaotic systems", Journal of Systems Engineering and Electronics, 15(1): 67-72, 2004.
[16] Lu, Z., L.S. Shieh, and G.R. Chen. "On robust control of uncertain chaotic systems: a sliding mode synthesis via chaotic optimization", Chaos, Solitons & Fractals (Elsevier), 18(4): 819-827, 2003.
[17] Lu, Z. and M.W. Sun. "Neuromorphic continuous-time state space pole placement adaptive control", Journal of Systems Engineering and Electronics, 14(1): 58-62, 2003.
[18] Lu, Z. and H. Lu. "Application of neurocomputing in adaptive control of large-scale aerospace systems", Journal of Systems Engineering and Electronics, 13(4): 61-65, 2002.
[19] Chen, Z., Z. Lu, and Z. Yuan. "Neural network inverse adaptive controller based on Davidon least squares", Journal of Systems Engineering and Electronics, 11(1): 47-52, 2000.