Janghyun Kim

Research Engineer at National Laboratory of the Rockies

Golden, Colorado, United States
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Summary

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Senior
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Janghyun Kim is a research engineer with a PhD in Mechanical Engineering and eight years’ experience specializing in building energy and HVAC performance for small to medium commercial buildings. Based at Golden, Colorado and currently at the National Laboratory of the Rockies, he combines deep component-to-building simulation expertise with hands-on knowledge of mechanical equipment and building automation systems. His work spans fault-detection modeling, whole-building performance analysis, and evaluating niche systems like passive chilled beams and small-scale combined heat-and-power for real-world energy savings. Versatile and methodical, he bridges academic rigor from Purdue with practical lab experience from Hanyang University, delivering simulation-driven solutions that reduce energy use and operational cost. An understated strength is his ability to translate detailed simulation outcomes into actionable strategies for facilities and retrofit projects.
code9 years of coding experience
job9 years of employment as a software developer
bookMaster of Science (M.S.), Mechanical Engineering, Master of Science (M.S.), Mechanical Engineering at Hanyang University
bookDoctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at Purdue University
bookMechanical Engineering, Mechanical Engineering at Hongik University
languagesEnglish, Korean
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Stackoverflow

Stats
11reputation
67reached
0answers
1question
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Github Skills (25)

stock10
commercial10
faults10
modeling10
plotly10
visualization9
webgl9
simulation9
plotly-dash9
charting9
python9
charts9
scale9
regl9
energyplus9

Programming languages (7)

TypeScriptC++JavaScriptHTMLJupyter NotebookRubyPython

Github contributions (5)

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lz356/FDD_RF_Repo

Aug 2021 - Mar 2022

Contributions:2 reviews, 16 PRs, 99 pushes in 7 months
NatLabRockies/Wattile

Jan 2022 - Mar 2023

Deep Learning-based Forecasting of Building Energy Consumption
Contributions:7 reviews, 216 commits, 18 PRs in 1 year 2 months
deep-learning
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