M.S. 2018
Now: Sr. System Engineer (Architect), Continental
- M.S., Mechanical Engineering, Iowa State University, 2018
- B.S., Automotive Engineering, Wuhan University of Technology, 2012
Linjiang worked on graphical modeling of cyber-physical systems for engineering problems. His studies covered traffic sensor health monitoring, building energy consumption analysis and prediction, and deep learning for feature extraction and fault detection. He has a passion for automotive engineering and is an experienced automotive engineer.
He graduated from the SCS Lab in May 2018 and worked at Hi-Lex Controls Inc. in Rochester Hills, MI. He is now a Sr. System Engineer (Architect) at Continental, working on AR head-up displays.
Research interests: AR head-up displays, machine learning, data mining, fault diagnosis
Publications with the lab (5)
- Crop yield prediction integrating genotype and weather variables using deep learning — Plos one (2021)
- Traffic sensor health monitoring using spatiotemporal graphical modeling — International Journal of Prognostics and Health Management (2020)
- An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems — Mechanical Systems and Signal Processing (2019)
Show all 5
- A Data-driven Approach towards Integration of Microclimate Conditions for Predicting Building Energy Performance — 5th International High Performance Buildings Conference (2018)
- Linked read technology for assembling large complex and polyploid genomes — BMC genomics (2018)
lwu26 (@) iastate.eduGoogle Scholar