Mohammad Rafiei, an instructor under the Engineering for Professionals program at Johns Hopkins University (JHU), is a distinguished Civil Engineer with experience developing machine learning and analytical solutions in Structural, Construction, Transportation, Geotechnical, and Materials Engineering. Dr. Rafiei’s expertise is underpinned by a robust academic background and a prolific record of peer-reviewed publications, conducted under the supervision of legendary Hojjat Adeli.
SELECTED EXPERIENCE
Johns Hopkins Whiting School of Engineering
Instructor, Remote (Jan 2021 – Present)
Teaching two graduate-level Engineering for Professionals courses focused on applied analysis (AI/ML), materials behavior, & practical engineering applications, including infrastructure.
Serving as an Engineering for Professionals academic advisor.
Postdoctoral Fellow, On-site (Aug 2018 – Dec 2020)
Developed an accelerated discrete-dislocation model approximation using deep-learning-based force- & stress-prediction.
Co-organized the 2019 MACH Conference ML Symposium in Annapolis, MD.
The Ohio State University College of Engineering
Postdoctoral Researcher (Feb 2017 – Jul 2018)
Developed & validated ML-based structural health monitoring, earthquake early warning, & decision-making systems using ambient-vibration data from high-rise buildings & bridges.
Developed a structural health index using stochastic modeling & AI/ML based on ambient-vibration records.
Served as lead modeler & team lead on Cyber-Physical Systems monitoring projects & grants for DOT, DOE, & NSF.
Led programming for cleaning, preprocessing, & analyzing tens of gigabytes of unstructured signals & spatial motion-capture data from various infrastructure resources.
Taught multiple undergraduate & graduate-level courses including Structural Analysis, Steel Structural Design (AISC & ASCE), Bridge Engineering (AASHTO), & Earthquake Engineering (ASCE).
Education History
- PhD, Civil Engineering, Ohio State University
Work Experience
Instructor, Johns Hopkins University
Publications
https://scholar.google.com/citations?user=74pUQ3sAAAAJ&hl=en
Professional Organizations
American Society of Civil Engineers (ASCE)