Dr. Zhao Lu

Associate 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

  • Applied Mathematics

Wavelets, Integral equations, Dynamic systems and chaos


Professional Experience

2013-current Associate Professor, Department of Electrical Engineering, Tuskegee University, Tuskegee, Alabama, USA.

2007-2013  Assistant Professor, 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.


Patents

Linear Programming Support Vector Regression with Wavelet Kernel (US 7899652 B2) 
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, (US 8738271 B2)
Inventor: Zhao Lu, Jing Sun and Kenneth R. Butts
Assignee: Toyota Motor Engineering & Manufacturing North America, Inc

 

Teaching
  • Graduate Level

EENG 590U    Mathematical Optimization

EENG 537      Random Variables & Stochastic Processes

EENG 521      Complex Variables and Analysis

  • Undergraduate Level

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., H. Fu, and G. Song, "A multi-scale non-parametric and parametric hybrid multi-category recognition algorithm with probabilistic outputs", Journal of Experimental & Theoretical Artificial Intelligence (Taylor & Francis), in press.

[6]  Lu, Z., J. Sun, and K. Butts, "Multi-scale asymmetric orthogonal wavelet kernel for linear programming support vector learning and nonlinear dynamic systems identification", IEEE Trans. on Cybernetics, 44(5): 712-724, 2014.

[7]  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.

[8]  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.

[9] 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.

[10]  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. 

[11]  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.

[12]  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 (Taylor & Francis), 13(4): 357-372, 2007.

[13]  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.

[14]  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.

[15]  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.

[16]  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.

[17]  Lu, Z., H. Lu. "Adaptive tracking control of chaotic systems", Journal of Systems Engineering and Electronics (IEEE Xplore), 15(1): 67-72, 2004.

[18]  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.

[19]  Lu, Z. and M.W. Sun. "Neuromorphic continuous-time state space pole placement adaptive control", Journal of Systems Engineering and Electronics (IEEE Xplore), 14(1): 58-62, 2003.

[20]  Lu, Z. and H. Lu. "Application of neurocomputing in adaptive control of large-scale aerospace systems", Journal of Systems Engineering and Electronics (IEEE Xplore),  13(4): 61-65, 2002.