Mehdi Moradi - Associate Professor

Mehdi Moradi

Associate Professor

Umeå, Sweden

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Summary

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Senior

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Top School

Mehdi Moradi is an associate professor and statistician with a decade of experience applying advanced spatial and spatio-temporal methods to real-world problems, specializing in point processes on linear networks, trajectories and change-point detection. With a Ph.D. in spatial statistics and a strong foundation in mathematical statistics, he blends rigorous theory with hands-on statistical programming and package development to turn complex datasets into actionable insights. He has advised public authorities and academic teams across Spain and Sweden, helping inform data-driven policy and operational decisions. Known for translating niche spatial methodologies into reproducible tools, he combines academic rigor with practical impact from research labs to government applications.

10 years of coding experience

7 years of employment as a software developer

Bachelor's degree, Statistics, Bachelor's degree, Statistics at Shahid Chamran University

Doctor of Philosophy (Ph.D.), Spatio-temporal point processes on linear networks, Doctor of Philosophy (Ph.D.), Spatio-temporal point processes on linear networks at Universitat Jaume I

Master’s Degree, Mathematical Statistics, Master’s Degree, Mathematical Statistics at Shahid Beheshti University

Persian, English, Kurdish, Spanish

Github Skills (2)

temporal9

python7

Programming languages (1)

Github contributions (5)

Moradii/trajectories

Nov 2017 - Dec 2019

Handling and analyzing trajectory and movement data

Contributions:11 PRs, 114 pushes, 5 branches in 2 years 1 month

analyzingpythonmovement-datahandlingtrajectory

Moradii/stlnpp

Aug 2019 - Nov 2022

Spatio-temporal point patterns on linear networks

Contributions:2 releases, 61 commits, 2 PRs in 3 years 3 months

point-pattern-analysisspatio-temporallineartemporalpoint

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