I have worked in multiple technical fields, including statistical signal processing, systems engineering, software development and data analysis, etc.
I am always passionate about new ideas, innovations and technologies, and keep expanding my interests and growing my professional skills.
Areas of Interest
- Applied statstics and signal processing
- Machine learning and data analytics
- Intelligent robotics
- Software development
- Experienced in systems design, algorithm research and software development.
- Research and work expereince in sensor ranging, localization, navigation, GPS receiver, cellular baseband and RF systems.
- Well versed in statistical signal processing, state estimation, recursive Bayes filter variants, Kalman filter, etc.
- Proficient in Python and C++ development with objected-oriented design in Linux environment.
- Proficient in system and algorithm simulation, optimization, numerical computing and software/firmware implementation with Python, C++, C and Matlab.
- Project experience in data analysis and predictive modeling with Python data stack: pandas, numpy, scipy, scikit-learn, xgboost, statsmodels, jupyter, etc.
- MySQL, Flask, Matlab, R, Git, Docker, Jenkins, Linux.
- Hardware bring-up and tuning. Lab instruments and automation.
- Quantitative Research Analyst; Quantitative Software Engineer, iFDC, Irvine, California, 2017-2020.
- Staff Engineer - Systems; Sr. Staff Scientist - Software Systems, Broadcom, Irvine, California, 2010-2017.
- Algorithm Engineer, Datang Mobile, Beijing, China, 2003-2006.
- Ph.D. Electrical Engineering, University of California Riverside. December, 2010.
Dissertation: Performance of time delay estimation and range-based localization in wireless channels. PDF
- Researched on low-complexity wireless signal source geo-location algorithm, and biased statistical models and estimation methods for wireless ranging.
- Found new theoretical bounds on the performance of wireless time-delay estimation in unknown random multipath channel with PPM and frequency-hopping signals.
- Innovated on highly efficient numerical algorithm to compute time-delay estimation bounds, based on the moment-generating function of quadratic Gaussian distribution. The Matlab code exploiting special matrix structures speeds up by more than ten times than regular methods.
- M.E. Information & Communications Engineering, Xidian University, Xi'an, China.
- B.E. Telecommunications Engineering, Xidian University, Xi'an, China.