Academic Areas: Compliant mechanism, robotics, manufacturing, control
Dr. Guo has been working on compliant mechanisms since his graduate studies, and has applied the design and analysis method to research projects on intelligent cutting, structural health monitoring, bio-inspired robotics, and manufacturing. A theoretical formulation method has been developed for 3-D large deformations based on differential geometries together with numerical methods for boundary value problems, which is more efficient than commercially available finite element methods. Currently, he is developing theories and techniques for online sensing of flexible deformations due to multi-physical effects. Applications range from process monitoring for manufacturing flexible components to prosthesis / exoskeletons for compliant grasping.
2007 - 2011 Georgia Institute of Technology Ph.D.
2002 - 2006 Peking University B.S
2012-now, Associate Professor, Mechanical Engineering and Science, Huazhong University of Science and Technology;
2007-2011, Research Assistant, Georgia Tech Research Institute (GTRI), Georgia Institute of Technology;
1.Guo, J., Lee, K.-M., Liu, W. and Wang, B., 2014. “Vibration sensing design criteria based modal analysis for thin-wall plate machining,” IEEE/ASME Trans. on Mechatronics, DOI: 10.1109/TMECH.2014.2360371.
2.Guo, J. and Lee, K.-M., 2013. “Compliant joint design and flexure finger dynamic analysis using an equivalent pin model,” Mechanism and Machine Theory, 70, 338-353.
3.Guo, J., Lee, K. M., Zhu, D., Yi, X. and Wang, Y., 2012. “Large-deformation analysis and experimental validation of a flexure-based mobile sensor node,” IEEE/ASME Trans. on Mechatronics, 17(4), 606-616.
4.Lee, K.-M. and Guo, J., 2010. “Kinematic and dynamic analysis of an anatomically-based knee joint.” J. of Biomechanics, 43(7), 1231-1236.
1.“Most Practical SHM Solution for Civil Infrastructures” Video Award in Action session, the 8th International Workshop for Structural Health Monitoring, Stanford, CA, 2011.
2.Top in the Ph.D. qualifying exam in Mechanical Engineering, Georgia Institute of Technology, 2008.
3.Chin-Tsuing Scholar, Peking University, 2005.
4.Freshman Scholarship, Hosogoe Scholarship, Canon Scholarship, Outstanding Student Award, Peking University, 2002-2006.
Graudate courses: Machine Vision
Undergraduate courses: System Dynamics, Fundamental of Control Engineering, Fluid Mechanics, Mechanical Design, Project Design
1．“Process Online Monitoring and Multi-field Reconstruction” in “Research on Fundamental of Intelligent Manufacturing for High-Quality and Complex Parts”, the National Basic Research Program of China (973 Program)
2. Vision-based Mobile Sensing for Structural Health Monitoring, The natural science foundation of Hubei Province