About Me
Dr. Yudong Li is a Research Engineering at the National Renewable Energy Laboratory. His research interests includes machine learning, machine vision, high performance computing, and computational modeling of various physical-chemical interactions. He leads a team of engineers to develop and deploy various software solutions to real-world material/chemical processing problems for industry partners.
Interests
- Artificial Intelligence
- Computer Vision
- High Performance Computing
Education
MS Computer Science
Georgia Institute of Technology
Phd Material Science and Engineering
the University of Alabama
Experience
Research Engineer
National Renewable Energy LaboratoryResponsibilities include:
- Write grant proposals to secure goverment and industrial funding. Establish close collaborations with industry partners.
- Mentor young graduates/interns in research and development.
- Leading a team of software engineers to develop Machine Vision based webapps for image analysis and deploying on internal Kubernetes server.
- Leading the development of Machine learning models to solve chemial engineering problems where physics based model is not available.
- Developing high performance computational fluid dynamics codes with stiff ODE/PDE systems for fluid-chemical reaction simulations.
Postdoctoral Researcher
National Renewable Energy LaboratoryResponsibilities include:
- Developed maching learning pipelines with open source software stacks.
- Developed various physics based models in C++ to simulation different chemical reaction systems and fluid flow behviors.
Education
MS Computer Science
Georgia Institute of TechnologyPhd Material Science and Engineering
the University of Alabama
Skills & Hobbies
Technical Skills
C/C++/Python/Java
Machine Vision
Machine Learning
Hobbies
Hiking
Skiing
Photography
Languages
100%
English
100%
Chinese