Ying Wang

Ph.D., Assistant Professor

Department of Electrical and Mechatronics Engineering

Tel: 1-678-915-7317
Email: ywang8@spsu.edu
Office:Q342

Education

• Ph.D., Department of Mechanical Engineering, The University of British Columbia, Canada, 2008.
• Master of Science, Department of Power Machinery Engineering, Shanghai Jiao Tong University, China, 1999.
• Bachelor of Science, Department. of Power Machinery Engineering, Shanghai Jiao Tong University, China, 1991.

Research Interests

• Visual Sevoing and Advanced Controls
• Autonomous Robots
• Machine Learning

Courses Taught

• EE4201, Control Systems (Spring 2010 - Present)
• MTRE4200, Robotics (Spring 2011 - Present)
• MTRE3710, Mechatronics Engineering Fundamentals (Spring 2010 - Present)
• EE2302, Circuit Analysis II (Fall 2010)
• ENGR2214, Statics (Fall 2009)
• ENGR2500, Strength of Materials (Fall 2009)

Editorial

• Journal of Control and Intelligent Systems, Associate Editor

Selected Publications

1. Wang, Y.,Lang, H., Lin, H. and de Silva, C.W., “Vision-based grasping using mobile robots and nonlinear model predictive control,” International Journal of Control and Intelligent Systems, Issue 1, 2012.

2. Wang, Y., Siriwardana, P.G.D. and de Silva, C.W., “Multi-robot cooperative transportation of objects using      machine learning,” International Journal of Robotics and Automation, Issue 4, 2011.

3. Wang, Y., Lang, H. and de Silva, C.W., “A hybrid visual servoing controller for robust manipulation using mobile robots,” IEEE/ASME Transactions on Mechatronics, Vol. 15, No. 5, pp.      757-769, 2010.

4. Wang, Y. and de Silva, C.W., “The sequential Q-learning algorithm with Kalman filtering (SQKF) for multi-robot cooperative transportation tasks,” IEEE/ASME Transactions on Mechatronics, Vol. 15, No. 2, pp. 261-268, 2010.

5. Wang, Y. and de Silva, C.W., “A machine learning approach to multi-robot coordination,” Engineering      Applications of Artificial Intelligence (Elsevier), Vol. 21, No. 3, pp. 470-484, 2008 .

6. de Silva, C.W. and Wang, Y., “Control output devices—actuators and data loggers for process automation ,” IEEE Instrumentation & Measurement Magazine, Vol.11, No.1, pp. 38-45, 2008.