Profile
Strong background on machine learning, computational/statistical modeling, bioinformatics, and mechanical engineering; Expertise on algorithm development, signal processing, product design, large scale data analysis and modeling; Proficiency in Matlab, LabView, SAS, AutoCAD, SolidWorks
Education
Ph.D.: Mechanical Engineering, (Laboratory of Robotics and Animal Well-being)
University of Maryland, Baltimore County (UMBC), USA.
Dissertation: Measuring Early Pre-symptomatic Changes in Locomotion of Rodent Models of Neurological and Neuromuscular Diseases
01/2007—11/2010
GPA:3.9/4.0
M.S. : Mechanical Design and Theory
Beijing University of Technology (BJUT), China.
Thesis: Studies on the Dynamics and Control Theory of Inverted Pendulum 09/2004—12/2006
B.S. : Mechanical Engineering and Automation
Beijing University of Aeronautics and Astronautics (BUAA), China.
Graduation project: Improvement of an Auto Shaft Rolling Mill Controlled by Siemens PLC 09/2000—07/2004
Professional Experience
Research fellow at The University of Alabama, AL 01/2012-present
• Built up wearable biomedical systems and developed data integration approaches for monitoring human behaviors , biofeedback and rehabilitation study of post-stroke by gait characterization
• Gained expertise in sensor design & manufacturing, laser cutting, 3D and integrated circuit printing
• Led a project team with two Ph.D. candidates, one master students and three undergraduates
• Published peer-reviewed journal papers, presented results at international conferences, served as peer reviewer
Research fellow at Tulane University, LA 01/2011-12/2011
• Developed compressed sensing (a sparse method) based pattern recognition methods for analyzing large scale next generation sequencing (NGS) data, single-nucleotide polymorphism (SNP) data, gene expression data and gene copy number data associated to cancers
• M-FISH image processing
• Published peer-reviewed journal papers, presented results at global conferences, served as peer reviewer
Research Assistant at UMBC, MD 01/2008-12/2010
• Proposed an effective methodology to detect neurological and neuromuscular diseases of lab rats
• Set up statistical analysis method and statistical models for animal gait characterization
• Designed and built a system capable of animal gait analysis by integrating image acquisition and force analysis based on load cell signals
• Performed finite element analysis using IDEAS and Abaqus
• Defined, set and conducted animal experiments and tests related to neuroscience
• Processed tens of thousands of data sets
• Published 4 peer-reviewed journal papers, participated in grant proposal writing, presented data at international conferences
• Gained good communication skills with other academic and industrial research groups in teamwork
Instructor at UMBC, MD 08/2010-01/2011
• Lecturer of undergraduate courses in department of modern languages, linguistics & intercultural communication at UMBC. Gained experiences of running multiple classes and communicating with students
Technician Assistant at UMBC 08/2009-02/2010
• Gained expertise in manufacturing, lab development, instrument installation and maintenance
Teaching Assistant at BJUT, UMBC 02/2006-11/2010
• Teaching assistant and built up strong background on Engineering Thermodynamics, Mechatronics, Mechanics of...
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