Summary
Viet-anh Le is a postdoctoral researcher at the University of Pennsylvania with nine years of experience at the intersection of control, learning, and optimization. He earned a PhD in Mechanical Engineering from the University of Delaware after an MSc in Informatics and a specialized BEng in Control Engineering, and he spent two years as a visiting scholar at Cornell and a summer research internship at Honda Research Institute USA. His research focuses on learning-enhanced control methods, model predictive control, distributed optimization, and multi-agent systems, blending theory with practical, system-level experimentation. Viet-anh has a track record of transitioning ideas across academia and industry, leveraging cross-disciplinary training in informatics and automation to tackle real-time decision and coordination problems. Based in Philadelphia, he combines rigorous mathematical foundations with applied engineering experience, often exploring scalable algorithms for networked systems. Colleagues note his propensity for bringing tools from informatics into control problems, revealing solutions that are both elegant and implementable.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Control Engineering and Automation, Bachelor of Engineering - BE, Control Engineering and Automation at Hanoi University of Science and Technology
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at University of Delaware
Master's degree, Informatics and Computing, Master's degree, Informatics and Computing at Northern Arizona University