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Mathematical Modeling

What if math could shape cleaner factories, happier homes, and smarter energy?

 

Jinwook Chang's journey in mathematical modeling has taken me from reducing CO₂ emissions in manufacturing plants, to creating a pet-compatibility index that earned the Outstanding Award in the Greater China International Mathematical Modeling Competition, to developing cutting-edge error-reduction models for Spectrafy’s solar irradiance devices—technology built by only three companies in the world.​

IMMC INT Outstanding

Jinwook Chang, Eric Qiang, Alex Meng, Allen Hong—

Match Made in Heaven: Quantifying a Household's Readiness for Pet Ownership.

Pet Compatibility Index Model Summary Sheet
Pet Compatibility Index Model Framework

Email jameschang7123@gmail.com to request the full solution paper!

CityU HK Presentation Invitation

Jinwook Chang & Eric Qiang:

Match Made in Heaven: Quantifying a Household's Readiness for Pet Ownership.

IMMC 2024 Presentation at the City University of Hong Kong
IMMC 2024 Presentation at the City University of Hong Kong
IMMC 2024 Presentation at the City University of Hong Kong
IMMC 2024 Presentation at the City University of Hong Kong
IMMC 2024 Presentation at the City University of Hong Kong
IMMC 2024 Presentation at the City University of Hong Kong
IMMC 2024 Presentation at the City University of Hong Kong
IMMC 2024 Presentation at the City University of Hong Kong

 

View the 10th Annual International Mathematical Modeling Challenge (IMMC) Results Here!

IMMC 2024 Presentation at the City University of Hong Kong

IMMC REG Meritorious

Jinwook Chang, Eric Qiang, Alex Meng, Allen Hong—

Reducing CO2 Emissions in a Production Plant.

Carbon GHG Gas Reduction Model Summary Sheet
Carbon GHG Gas Reduction Model Framework

Email jameschang7123@gmail.com to request the full solution paper!

Acknowledgements

I would like to thank Eric Qiang, Alexander Meng, and Allen Hong, my teammates in the 2024 International Mathematical Modeling Challenge (IMMC), for their incredible work and contributions to the project.

QuantaSol GeoSpatial Site Optimization Model

In many sun-rich, solar-poor regions between the tropics, abundant UV irradiance accelerates the degradation of traditional silicon solar cells, limiting their performance and lifespan. Despite high solar potential, these areas remain underserved by conventional technology.

Quantum dot solar cells provide a solution by converting harmful UV light into usable energy, extending durability and boosting efficiency where sunlight is most intense.

Through the QuantaSol predictive API model, we integrate factors such as irradiance, slope, aspect, and regional socioeconomic scores to pinpoint the best locations for QD solar farms—turning overlooked tropical sunlight into a reliable and profitable source of clean energy.

Jinwook Chang & Ryan Jiang:

QuantaSol—Map the Light, Power the World.​

- 1st Place, Solar Pitch, 53rd IEEE Photovoltaic Specialists Conference (IEEE PVSC)

QuantaSol Executive Brief Desk Slide 01
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QuantaSol Executive Brief Desk Slide 10

Acknowledgements

I’d like to thank Ryan Jiang from Shanghai American School, the main collaborator of the QuantaSol model development

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