FOONG Shaohui
Assistant Professor
Phone: +65 63036670
Email: foongshaohui(at)sutd.edu.sg
Web: http://epd.sutd.edu.sg/faculty/foong-shaohui
Biography | Education | Patents | Research Opportunities | Key Publications
Biography
Dr Foong Shaohui obtained his BSc degree in Mechanical Engineering from the Georgia Institute of Technology in 2005 where he continued his postgraduate studies. He received his MSc and PhD degrees in 2008 and 2010. During his doctoral studies at Georgia Tech, he was involved in the development of a patented intelligent high-speed automated live transfer system that consists of an Ethernet-based network of high resolution encoders, optical beam sensors, line array sensors and vision sensors. In an effort to enhance the accuracy and reliability of the transfer system, with a networked array of optical sensors, he introduced a control-oriented novel non-contact sensing method to simultaneously detect slippage/relative motion of natural objects on moving surfaces.
 
His expertise and experience with multiple diverse sensors led to an investigation on harnessing dynamic organized sensor networks that feature hybrid temporal network architectures in feedback control systems. His doctoral dissertation focuses on harnessing magnetic fields for positional sensing and control of electromechanical devices. He is a recipient of Who’s Who Award for best students in American Universities and Colleges in 2010 and member of ASME and IEEE.
Education
  • PhD, Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA, 2010
  • MSc, Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA, 2008
  • BSc, Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA, 2005
  • Patents
    K.-M. Lee, B. Poindexter II, A. B. Webster, S. Foong, C.-H. Liu: Live bird shackle transfer systems and methods. July 2010: US20100190426.
    Research Opportunities
    Research and postdoc fellow, research assistant and engineers, as well as student research assistant opportunities are available. Please email me for details.

    Interdisciplinary collaborative research projects and opportunities are welcome as well.
     
    Visit the Magneto-Mechatronics Lab 
    Key Publications
    • S. Foong, K.-M. Lee and K. Bai, “Harnessing Embedded Magnetic Fields for Angular Sensing with Nano-degree Accuracy,” ASME/IEEE Transactions on Mechatronics, vol. 17, no. 4, pp.687-696, Aug 2012.
    • K.-M. Lee, S. Foong, “Lateral Optical Sensor with Slip Detection for Locating Live Products on Moving Conveyor,” IEEE Transactions on Automation Science and Engineering, Vol. 7, pp. 123-132, Jan 2010
    • S. Foong, K.-M. Lee, “Organized Sensor Network Design for Active Feedback Control,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Jul 14-17, 2009
    • S. Foong, K.-M. Lee, “Magnetic Field-Based Multi-DOF Orientation Sensor for PM-Based Spherical Actuators,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Jul 14-17, 2009
    • S. Foong, K.-M. Lee, K. Bai, “Magnetic Field-based Sensing Method for Spherical Joint,” IEEE International Conference on Robotics and Automation, May 3-8, 2010
    • S. Foong, X. Chen and K.-M. Lee, “Optimized Distributed Field-Based Sensing for Control of Voice Coil Motor,” ASME 4th Annual Dynamic Systems and Control (DSC) conference, Oct 31-Nov 2, 2011.
    • A. Ananthanarayanan, S. Foong and S. Kim,  ”A Compact Two DOF Magneto-elastomeric Force Sensor for a Running Quadruped“, IEEE International Conference on Robotics and Automation (ICRA), pp. 1398 – 1403, May 2012.
    • F. Wu, N. M. Robert, D. Frey and S. Foong, “Enhanced Magnetic Localization with Artificial Neural Network Field Models“, Accepted at 2013 IEEE International Conference on Robotics and Automation (ICRA).

    Magneto-Mechatronics Lab (MML)

       Research Projects:
    • Integrative Distributed Field-Based Sensing and Control of Halbach Inspired Electromagnetic Devices
    • Development of an Automatic and Configurable Non-invasive System for Enhanced Transcranial Magnetic Stimulation (TMS)
    • Harnessing Passive Magnetic Fields for Image-Guided Navigation of Ventriculostomy Catheter and other Intracranial Instrumentation
    • Real-time Non-Invasive Magnetic Field-Based Localization of Nasogastric Tube

    Research Interests

    • Mechatronics and Automation
    • Distributed Sensing and Control
    • Electromagnetic Actuation and Sensing
    • Field-based Sensing Methodology and Technology
    • System Dynamics
    • Medical Devices and Robotics
    • Unmanned Systems and Multi-Rotor Platforms

    Research Support

    SEMCAD X
    National Instruments Singapore
    SUTD Start-Up Grant
    SUTD-ZJU Research Collaboration Grant
    A*STAR-CIMIT Joint Research Grant
    SUTD-MIT IDC Research Grant