Abolfazl Neyestani is an Assistant Professor and meteorology researcher with 11 years of experience bridging numerical weather prediction, data assimilation, and atmospheric modeling. He holds a PhD in Meteorology from the University of Tehran and has applied his expertise internationally as a visiting researcher at SMHI, running convective-scale data assimilation experiments and comparing WRF-ARW and HARMONIE-AROME performance. Based in Kermanshah, Iran, he combines an academic track record with hands-on model evaluation to advance operational and research-grade NWP methods. His background in electrical engineering gives him an edge in quantitative modeling and signal-processing approaches to atmospheric data.
11 years of coding experience
Doctor of Philosophy (PhD), Meteorology, Doctor of Philosophy (PhD), Meteorology at University of Tehran
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at University of Birjand
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Abolfazl Neyestani - Assistant Professor at Razi University