Doosam Song

Professor

Sungkyunkwan University

South Korea

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About

Doosam Song is a Professor at Sungkyunkwan University - Suwon Campus, South Korea. His research areas include air quality management, energy efficiency in buildings, and the impact of environmental factors on human health. Recent publications focus on topics such as occupant-generated CO₂ for infiltration rate estimation, machine learning for heating control, and ventilation strategies for indoor air quality and disease prevention. He is dedicated to advancing knowledge in sustainable building practices and the effects of particulate matter in urban environments.

Articles (14)

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (3)

Joowook Kim

Assistant Professor

Chosun University

SOUTH KOREA

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Sowoo Park

Sungkyunkwan University

SOUTH KOREA

View details

Junemo Koo

College of Engineering

SOUTH KOREA

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Doosam Song

Research Interests

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About

Articles (14)

Estimation of infiltration rate using occupant-generated CO₂: Filtering process for uncertainty reduction

A simple and efficient machine-learning based approach for optimal heating control of radiant floor heating systems: Proposal and validation

Impact of particulate matter (PM10, PM2.5) on global horizontal irradiance and direct normal irradiance in urban areas

Energy signature approach for retrofit prioritization: A proposal for building identification methodology

Proposal of a correction factor for predicting the thermal transmittance of building envelopes in existing buildings accounting for aging and environmental conditions

Ventilation strategy for simultaneous management of indoor particulate matter and airborne transmission risks – A case study for urban schools in South Korea

Cooling effect of fanned parasol for mitigating outdoor heat stress

Predicting airtightness using differential pressure in actual climate conditions: Theory and implementation

Particulate matter generation in daily activities and removal effect by ventilation methods in residential building

Natural ventilation strategy and related issues to prevent coronavirus disease 2019 (COVID-19) airborne transmission in a school building

Comparison of Factorial and Latin Hypercube Sampling Designs for Meta-Models of Building Heating and Cooling Loads

Issues in calculation of balance-point temperatures for heating degree-days for the development of building-energy policy

The Effect of Coupling Solar Thermal System and Geothermal Heat Pump Systems in Areas with Unbalanced Heating and Cooling Demand

Prediction for Overheating Risk Based on Deep Learning in a Zero Energy Building

Collaborators (3)

Joowook Kim

Sowoo Park

Junemo Koo

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