Yutao Chen
Assistant Professor at Fuzhou University
Fujian, China
Summary
👤
Senior🎓
Top SchoolYutao Chen is an Assistant Professor at Fuzhou University with 11 years of experience in optimal control and nonlinear model predictive control (NMPC), primarily applied to automotive systems. He holds a PhD in Information Engineering from the University of Padova and has postdoctoral experience on EU-funded projects such as IMPERIUM at Eindhoven University of Technology. Yutao combines academic research with hands-on solver development, contributing backend improvements to the widely used acados project—specializing in integrators, memory management, and numerical methods for embedded optimal control. His background spans industry and research labs in Europe and China, reflecting a pragmatic focus on bringing NMPC algorithms into real-world automotive deployments.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at Università degli Studi di PadovaMaster's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at 上海交通大学Bachelor's degree, Automation, Bachelor's degree, Automation at 湖南大学
Chinese, English, Italian
Github Skills (12)
c1710
memory-management10
c1110
numerical-methods10
optimization10
controlling9
controlled9
control-flow9
sys9
control-theory9
embedded9
controls9
Programming languages (3)
Github contributions (5)
acados/acados
Nov 2017 - Dec 2017
Fast and embedded solvers for nonlinear optimal control
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 3 PRs, 1 comment in 6 days
Contributions summary:Yutao made several commits focused on improving the core integration of the ACADOS framework, mainly related to the RK and IRK integrators. Contributions include fixing and updating memory management styles and integrating new core features. These changes suggest involvement in optimization and numerical methods within the context of optimal control solvers.
nonlinearnonlinear-optimizationsolversoptimizationsolver
chenyutao36/cppmpc
Aug 2018 - Feb 2025
Contributions:13 pushes, 1 branch in 6 years 7 months
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