Education Experience

University of California, Davis | United StatesSep 2022 - present

Ph.D. Student in Electrical and Computer Engineering

Degree GPA: 3.8/4.0

Columbia University | United StatesSep 2019 - Apr 2021

M.S. in Electrical Engineering

GPA: 3.8/4.0

Nikola Tesla Electrical Engineering Scholar

Advanced Master Research Specialization Program

Xi'an Jiaotong University | ChinaSep 2015 - Jun 2019

B.Eng. in Automation

GPA: 89.42/100

Honors Electronic and Information Engineering Program

Sun Yat-sen University | ChinaFeb 2019 - Jun 2019

Undergraduate Thesis

Course

University of California, Davis

• EEC 250 - Linear Systems & Signals (A.N. Gundes) [Grade: A]
• EEC 260 - Random Signals & Noise (Bernard Levy) [Grade: A]
• MAT 201A - Analysis (Adam Jacob) [Grade: N/A]

Columbia University

• ENGI E4990 Advanced Master's Research (Xiaofan Jiang) [Grade: A]
• CSEE W4868 System-on-Chip Platforms (Luca Carloni) [Grade: B]
• ELEN E6761 Computer Communication Networks (Javad Ghaderi Dehkordi) [Grade: B]
• EEOR E6616 Convex Optimization (Donald Goldfarb) [Grade: P]
• ELEN E6876 Sparse and Low-Dimensional Models for High-Dimensional Data (John Wright) [Grade: P]
• ELEN E6889 Large-Scale Stream Processing (Deepak S. Turaga) [Grade: P]
• EECS E4764 IoT - Intelligent and Connected Systems (Xiaofan Jiang) [Grade: A+]
• EECS E6690 Statistical Learning in Biology and Information Systems (Predrag Jelenkovic) [Grade: A]
• ELEN E6880 Random Matrix Theory and Applications in AI and Data Science (Ori Shental) [Grade: A-]
• ELEN E6885 Reinforcement Learning (Chong Li, Lei Zhang) [Grade: A-]

Xi'an Jiaotong University

• Advanced Mathematics 1 & 2 [Grade: 90 & 97]
• Linear Algebra and Analytic Geometry [Grade: 99]
• Mathematical and Physical Equation [Grade: 92]
• Physics 1 & 2 [Grade: 94 & 94]
• Numerical Analysis [Grade: 88]
• Probability Theory and Mathematical Statistic [Grade: 89]
• Operations Research [Grade: 91]
• Theoretical Mechanics [Grade: 85]
• Material Mechanics [Grade: 97]
• Circuits [Grade: 97]
• Circuit Design Experiment 1 & 2 [Grade: 84 & 90]
• Analog Electronics [Grade: 81]
• Digital Electronics [Grade: 93]
• Signals and Systems [Grade: 86]
• System Modeling and Dynamics Analysis [Grade: 95]
• Computer Principle and Embedded System Design [Grade: 84]
• Automatic Control Theory [Grade: 79]
• Modern Detection Techniques [Grade: 81]
• Digital Signal Processing [Grade: 78]
• Computer Network Theory and Application [Grade: 94]
• Network Security [Grade: 87]
• Computational Intelligence [Grade: 88]
• Systems Engineering [Grade: 91]
• Pattern Recognition [Grade: 85]