Singapore-MIT Alliance for Research & Technology

	1, CREATE WAY #04-13/14 Enterprise Wing and #B-101 Singapore 138602
BioSystems and Micromechanics (BioSyM) - IRG

Chao Yu Peter CHEN
Associate Professor, Department of Mechanical Engineering, NUS

http://guppy.mpe.nus.edu.sg/peter_chen/

Positions

• 1989-1989 Project Engineer, Automation Tooling Systems, Inc. (ATS)
• 1990-1990 Systems Engineer, Philips (Singapore) Private Limited
• 1994-1997 Research Associate, University of Toronto
• 1995-1997 Founder & Project Manager, Henyco Mechatronic Systems Inc.
• 1997-2000 Singapore Research Fellow, Singapore Institute of Manufacturing Technology
• 2000-2006 Assistant Professor, Bachelor of Technology Programme, NUS
• 2006-2012 Assistant Professor, Department of Mechanical Engineering, NUS
• 2012- Associate Professor, Department of Mechanical Engineering, NUS

Research Interests

• Current research interests focus on two main areas: (1) force control for micro/bio-manipulation in the context of mechanosensing and mechanotransduction, and (2) modeling and control of biological networks. The objective of research in the first area is to develop new force-control techniques that enable accurate application of dynamical forces to manipulate cellular and molecular behaviour, while the objective of research in the second area is to develop analytical and computational models of, and control-synthesis techniques for, genetic regulatory networks.

Selected peer-reviewed publications

• Force control for micro/bio-manipulation

  • J.H. Nam, Peter C. Y. Chen, Z. Lu, H. Luo, R. W. Ge, W. Lin,  Force Control for Mechanoinduction of Impedance Variation in Cellular Organisms. Journal of Micromechanics and Microengineering.  Accepted, December, 2009.
  • Z. Lu, P. C. Y. Chen, J. H. Nam, R. Ge, W. Lin, A Micromanipulation System with Dynamic Force-Feedback for Automatic Batch Microinjection. Journal of Micromechanics and Microengineering. 17, 314-321, 2007.
  • Z. Lu, P. C. Y. Chen, A. Ganapathy, G Zhao, J. H. Nam, G. Yang, E. Burdet, C. L. Teo, Q. Meng, W. Lin, A Force-Feedback Control System for Micro-assembly. Journal of Micromechanics and Microengineering., Vol. 16, No. 9, 1861-1868, September 2006..
  • Z. Lu, P. C. Y. Chen and W. Lin, Force Sensing and Control in Micromanipulation. IEEE Transactions on Systems, Man and Cybernetics, Part C, 36:713–724, November 2006.
  • Z Lu, P. C. Y. Chen, H. Luo, and W. Lin, An Integrated Probe Sensor for Micro-Force Measurement. Measurement Science and Technology. Vol.17, No. 4, 869-875, April 2006.
  • Zhe Lu, Peter C. Y. Chen, H. Luo, and W. Lin, Micro-Force Sensing for Coarse Alignment in Active Fiber Pigtailing. Optical Engineering. Vol. 45, No. 7, 075005, July 2006.

  Modeling and control of gene networks

  • P. C. Y. Chen, and J. W. Chen, A Markovian Approach to the Control of Genetic Regulatory Networks. BioSystems, Vol. 90, No. 2, 535-545, September-October, 2007.
  • P. C. Y. Chen, A Discrete-Event Approach to Transcription Control with Dynamic Event-Controllability. Journal of Computational Biology. 13(9), 1532-1545, November 2006.
  • Peter C. Y. Chen, Controlled Synthesis of Target Strings in a Class of Splicing Systems. BioSystems. 81(2), 155 – 162, August 2005.
  • P. C. Y. Chen, A Computational Model of a Class of Gene Networks with Positive and Negative Control. BioSystems, Vol. 73, 13-24, 2004.

  Biomechanics

  •  Zhe Lu, Peter C. Y. Chen, H. Luo, J. H. Nam, R. W. Ge, W. Lin. Models of Maximum Stress and Strain of Zebrafish Embryos under Indentation. Journal of Biomechanics, Vol. 42, No. 5, 2009, pp. 620-625.
  • K. H. Lim, C. M. Chew, P. Chen, S. Jeyapalina, H. N. Ho, J. K. Rappel, B. H. Lim, New Extensometer to Measure in vivo Uniaxial Mechanical Properties of Human Skin. Journal of Biomechanics. Vol. 41, No. 5 931-936, Feb. 2008.
  • K. H. Lim, S. Jeyapalina, H.N. Ho, C. M. Chew, P. C. Y. Chen, C. L. Teo, and B. H. Lim. Non-invasive prediction of skin flap shrinkage: a new concept based on animal experimental evidence. Journal of Biomechanics. Vol. 41, No. 8, 1668-1674, May, 2008.

Current research support

• SMART BioSyM IRG, Manipulation of Stiffness Gradients in Extracellular Microenvironment through Stochastic Control of Magnetic-Particle Ensemble