kwangsu kim

Assistant professor

Pusan National University

South Korea

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About

Kwangsu Kim is an Assistant Professor at Pukyong National University, South Korea. His research interests encompass various fields, including COVID-19 response analysis, lncRNA-disease associations, diabetes prediction using quantum classifiers, and mathematical modeling in viral infections. Additionally, he explores energy management in microgrids and the dynamics of immune responses in vaccination contexts.

Articles (17)

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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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 (15)

Jong Hyuk Byun

Pusan National University

SOUTH KOREA

kwangsu kim

Research Interests

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About

Articles (17)

Longitudinal antibody titers measured after COVID-19 mRNA vaccination can identify individuals at risk for subsequent infection

Neighborhood-Regularized Matrix Factorization for lncRNA–Disease Association Identification

GMFLDA: Improved Prediction of lncRNA-Disease Association via Graph Convolutional Network

Diabetes Prediction Using an Optimized Variational Quantum Classifier

Unraveling the Complexities of Hepatitis B Virus Control: A Mathematical Modeling Approach

Energy Management of Cooperative Combined Cooling, Heating, and Power Microgrids Considering User Comfort

Exploring Immune Responses through Dynamic Modeling of Cell‐Immune Interactions in Viral Infection and Vaccination

Quantification of the Synergistic Inhibitory Effects of an Oncolytic Herpes Virus Plus Paclitaxel on Anaplastic Thyroid Cancer Cells

OptEF-BCI: An Optimization-Based Hybrid EEG and fNIRS–Brain Computer Interface

Analytical Solutions for Unsteady Thin Film Flow with Internal Heating and Radiation

A Hybrid GCN and Filter-Based Framework for Channel and Feature Selection: An fNIRS-BCI Study

A Robust Computer-Aided Automated Brain Tumor Diagnosis Approach Using PSO-ReliefF Optimized Gaussian and Non-Linear Feature Space

Detection of significant antiviral drug effects on COVID-19 with reasonable sample sizes in randomized controlled trials: A modeling study

Incomplete antiviral treatment may induce longer durations of viral shedding during SARS-CoV-2 infection

A quantitative model used to compare within-host SARS-CoV-2, MERS-CoV, and SARS-CoV dynamics provides insights into the pathogenesis and treatment of SARS-CoV-2

Modeling the efficiency of filovirus entry into cells in vitro: Effects of SNP mutations in the receptor molecule

Quantifying the antiviral effect of APOBEC3 on HIV-1 infection in humanized mouse model

Collaborators (15)

Jong Hyuk Byun

Muhammad Umair Ali

Keiji Kuba

Sho Miyamoto

Masaharu Tsubokura

AMAD ZAFAR

Keisuke Ejima

Yoshitaka Nishikawa

Tomokazu Tamura

Koji Noshita

IL HYO JUNG

Shoya Iwanami

JIHWAN HA

Shimpei Morimoto

Shingo Iwami

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