Alex Kurzhanskiy

Associate Research Engineer (a.k.a. Associate Research Professor)

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Alex Kurzhanskiy is an associate research engineer and entrepreneurial technologist with 15+ years of experience applying control, estimation, and large-scale data analysis to transportation, robotics, and document analytics. Based in the San Francisco Bay Area and rooted in a UC Berkeley PhD, he leads multidisciplinary projects—ranging from safe autonomous intersection management and city-scale traffic prediction to UAV fleet monitoring and HOT-lane modeling—while securing over $3.5M in research funding. He builds end-to-end solutions: inventing simulation frameworks (Aurora, CTMSIM), a widely used Ellipsoidal Toolbox for reachability analysis, and startups for interactive textbooks and document analytics. Equally comfortable writing funding proposals and production code, he bridges academic rigor with practical deployment and has been involved in patents and technology transfer. A less obvious strength is his ability to translate massive, heterogeneous sensor streams into actionable operational controls and fault-tolerant monitoring strategies.
code15 years of coding experience
job14 years of employment as a software developer
bookPhD Electrical Engineering & Computer Sciences, PhD Electrical Engineering & Computer Sciences at University of California, Berkeley
bookLomonosov Moscow State University
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Github Skills (8)

temporal6
intelligent5
dimensions5
matlab4
spatial4
routines4
julia4
toolbox3

Programming languages (1)

Roff

Github contributions (3)

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ucbtrans/sumo-project

Jun 2016 - Jan 2018

Contributions:34 commits in 1 year 7 months
Function of an intelligent intersection is to remove spatial and temporal uncertainties for the crossing parties.
Contributions:16 commits in 4 months
partiesspatialcrossingtemporaluncertainties
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Alex Kurzhanskiy - Associate Research Engineer (a.k.a. Associate Research Professor)