Mohammad Mehdi Oshanreh.I study how cities move.

I'm a Ph.D. candidate in Transportation Engineering at the University of Washington and a Traffic & Data Engineer Intern at the City of Kenmore. I work on transportation-data pipelines and forecasting, alongside research in EV charging, demographic microsimulation, and travel behavior.

Explore my research What I do at Kenmore

Explore my work

About

The short version: optimization, econometrics, and machine learning pointed at how people travel.

Research

Megawatt-class EV-truck charging, life-cycle microsimulation, and AI-driven behavioral experiments.

Experience

Traffic-data pipelines and forecasting at the City of Kenmore, following regional data-science work at PSRC.

Publications

10 peer-reviewed articles, 13 conference papers, a technical report, and working papers.

Photos

Seattle at the edges of the day. An occupational hazard of studying cities.

Contact

Open to research collaborations, interesting transportation problems, and trail tips.

Selected work

Now

Ph.D. · University of Washington

Siting megawatt-class DC fast-charging for electric trucks and private EVs along major corridors.

2026 – Present

Traffic & Data Engineer Intern · Kenmore

A Python pipeline for the Speed & Feedback Study and photo-enforcement revenue forecasting.

2025 – 2026

Data Science Intern · PSRC

An AI pipeline that mapped zoning codes across all 80+ jurisdictions in the region, plus HTS data and EV-ownership work.