Publication Topics

My up-to-now publication topics include statistical signal processing (e.g., optimal estimation theory, time series analysis, and target tracking), statistical machine learning (e.g., generalization error theory), wireless communication (e.g., integrated sensing and communication), and intelligent transportation.

Research Topics

I am quite interested in probabilistic, statistical, and optimization theories. My research interests and theoretical backgrounds include statistics and optimization theories with applications in signal processing, machine learning, control theory, and communication theory. Specifically, I am interested in and familiar with the following areas:

• Frequentist and Bayesian Statistics
• General Optimization Theory (Linear Program, Nonlinear Program, Convex Program, Semi-Definite Program, Heuristic Optimization, Surrogate Optimization, etc.)
• Stochastic Programming
• Distributionally Robust Optimization
• State Estimation and Filtering Theory
• Statistical Learning Theory
• Time Series Analysis
• Linear and Nonlinear System, and Hidden Markov Process
• Control Theory and Application, Navigation and Guidance, and Reinforcement Learning
• Target Positioning and Tracking
• Instrumentation and Measurement Systems
• Wireless Communication, Integrated Sensing and Communication

Academic Activities

I am an active reviewer for IEEE Transactions on Signal Processing and IEEE Transactions on Instrumentation and Measurement. I also occasionally reviewed papers for IEEE Signal Processing Letters. I never delayed the review process. All my review comments have been returned within the first two weeks after I received the invitations. Also, all my comments are quite detailed and well-justified. However, I am a harsh reviewer and quite picky about the novelty (technical or non-technical) of a paper.

Courses

• Studied During Ph.D.
  • I got A+/A/A- for all Ph.D. courses
  • Course List:
    • Advanced Engineering Statistics
    • Robust Optimization
    • Foundations of Optimization
    • Modern Control Systems
    • Applied Forecasting Methods
    • Theory and Algorithms for Dynamic Programming
    • Industrial Data Analytics
    • Theory and Algorithms for Machine Learning
    • Neural Networks and Deep Learning
    • Deep Learning for Robotics
• Studied During Master
  • I got GPA of 90.44%
  • Course List:
    • Applied Functional Analysis
    • Differential Equations in Mathematical Physics
    • Optimal Estimation Theory and its Applications
    • Aerodynamics and Flight Control Systems
    • Integrated Avionics Data Fusion Techniques and Its Application
    • Data Buses
    • Modern Digital Signal Processing
    • Digital Signal Processing Based on Matlab
• Studied During Bachelor
  • I got GPA of 92.19% in the third academic year and 90.13% in the first three academic years