Experiences

Experiences

Chery Automobile Co., Ltd. Jul 2023 - Present

Staff Engineer, Active Safety Lead | Minhang, Shanghai
  • Led automated emergency braking (AEB) algorithm development and deployment into mass production of Chery T22/T26/T28/E01 models. Successfully delivered over 200,000 units, meeting C-NCAP 2024 5-star standards.
  • Developed next-generation AEB algorithms, including discretized agent motion prediction, separating-axis-based collision risk detection, rule-based scene classification, and adaptive required deceleration for collision avoidance, which achieved significant improvements in test track evaluations and real-world driving experience.
  • Led the design and development of advanced active safety features, e.g. automated emergency steering (AES), lateral obstacle collision prevention (LOCP), general automated emergency braking (GAEB), etc.
  • Designed advanced modeling and control algorithms for safety features, such as probabilistic risk assessment model for collision detection, data-driven scene classification with XGBoost, integrated physics-data-based (IPDB) vehicle dynamics model for ego vehicle state estimation, and IPDB MPC controller for emergency steering control.

Horizon Robotics Apr 2022 - Jul 2023

ADAS Decision and Planning Algorithm Engineer | Jiading, Shanghai
  • Optimized AEB algorithms for mass production delivery on SAIC Roewe RX5.
  • Refined vision-based AEB systems through algorithm tuning and calibration strategies.

Stoneridge, Inc. Feb 2021 - Apr 2022

Senior Feature Development Engineer / Lead AI Algorithm Developer | Novi, Michigan
  • Developed vision-based algorithms for trailer edge detection and automatic IR systems, enhancing ADAS functionality.
  • Built a virtual testing platform using TruckMaker for MiL and SiL testing.

Aptiv Corporation Mar 2019 - Feb 2021

ADAS Algorithm Developer | Troy, Michigan
  • Developed adapter modules for ACC integration with intelligent speed control (ISC).
  • Enhanced HMI state machine design for complex ADAS use cases.
  • Built an in-house SiL test facility that is lightweight, extensible, and compatible with commercial software.

Research Projects

Advanced Boosting System for Diesel Engines

Ford-MSU Alliance Project | Mar 2017 - Mar 2019
  • Built a physics-based modeling method for an electrically powered turbocharger (eBoost) system in Simulink.
  • Validated the eBoost model using co-simulation between Simulink and GT-SUITE.
  • Calibrated eBoost control parameters offline using Design of Experiment methods.
  • Designed an LQR controller that improved transient system performance.

Reaction-Based Engine Combustion Model

General Motors Research Project | Nov 2014 - Nov 2016
  • Established a control-oriented modeling method for diesel engine combustion using chemical reaction mechanisms.
  • Proposed a multi-zone reaction theory to predict spatial distribution of mass species and temperature.
  • Verified the model using GT-SUITE high-fidelity engine models and Design of Experiment methods.
  • Calibrated the model for real engines using genetic algorithms and nonlinear least squares.