Congratulations to Junwei Chen, who successfully defended this thesis, “Complete flow description from combination of incomplete measurements.”
For the past 4 years, Junwei used data-driven techniques to obtain a complete flow description from the combination of incomplete measurements, e.g., non-time-resolved velocity field and high-frequency probe data. He performed a research stay at the Shanghai Jiao Tong University, under the supervision of Professor Liu Yingzhen.
His work resulted in 3 papers and an impressive 10 conference contributions, which you can find in the results page of the website. Junwei also carried out a research stay at the Shanghai Jiao Tong University, under the supervision of Professor Liu Yingzhen.
NEXTFLOW’s PI awarded ERC Proof of Concept grant
Stefano Discetti, PI of NEXTFLOW, has been awarded an ERC Proof of Concept (PoC) grant. The new project, RT-FLOW (Real-time data-driven flow diagnostics with event-based cameras), aims at addressing key limitations in experimental fluid dynamics, including delayed...
