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Sung Min Park

Pohang University of Science and Technology · Materials Science

About the Lab

Professor Sung Min Park's research lab specializes in interdisciplinary biomedical and engineering systems, focusing on advanced diabetes management technologies and energy systems for healthcare applications. The lab develops innovative solutions such as do-it-yourself artificial pancreas systems and computerized insulin infusion protocols to improve glycemic control in pediatric and adult patients with diabetes. It also designs smart microgrid systems integrating solar photovoltaics and lithium-ion battery storage, emphasizing seamless operation and power quality. Additionally, the lab explores nanomaterial synthesis, particularly ZnO nanowalls, for potential applications in energy and biomedical devices.

artificial pancreasdiabetes managementmicrogrid systemsnanomaterialsenergy storage

Research Overview

Papers
12
Total Citations
30
Papers (5y)
7
Primary Field
Materials Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
7total
2020
2022
2023
2025
2026
Citations per year (5y)
13total
20202022202320252026

Selected Papers

12
1
Article|12 citations·2012
80 kW hybrid solar inverter for standalone and grid connected applications
Luis Arnedo, Suman Dwari, Vladimir Blasko, SungMin Park

The aim of this work is the development of a solar photovoltaic generation system based on a standard power electronics cell for microgrid applications. The proposed system is capable of providing security of supply by delivering uninterrupted power to critical loads in standalone operation and transitioning seamlessly between stand alone and grid connected mode. To mitigate the effect of variability of the generation and load demand a state of the art 20kWh lithium-ion battery is used to balanc

Control and Systems EngineeringEngineering
2
Article|8 citations·2022
Do-It-Yourself Open Artificial Pancreas System in Children and Adolescents with Type 1 Diabetes Mellitus: Real-World Data
최민선, 이승현, 김지원, 김규리, 박성민, 김재현
Diabetes and Metabolism Journal

Few studies have been conducted among Asian children and adolescents with type 1 diabetes mellitus (T1DM) using do-it-yourself artificial pancreas system (DIY-APS). We evaluated real-world data of pediatric T1DM patients using DIY-APS. Data were obtained for 10 patients using a DIY-APS with algorithms. We collected sensor glucose and insulin delivery data from each participant for a period of 4 weeks. Average glycosylated hemoglobin was 6.2%±0.3%. The mean percentage of time that glucose level r

3
Article|3 citations·2023
Clinical and Lifestyle Determinants of Continuous Glucose Monitoring Metrics in Insulin-Treated Patients with Type 2 Diabetes Mellitus
이다영, Namho Kim, Inha Jung, 박소영, Yu Ji Hee, 서지아, Jihee Kim, 김경진, 김남훈, 류혜진, 김신곤, 최경묵
Diabetes and Metabolism Journal

Background: There was limited evidence to evaluate the association between lifestyle habits and continuous glucose monitoring (CGM) metrics. Thus, we aimed to depict the behavioral and metabolic determinants of CGM metrics in insulin-treated patients with type 2 diabetes mellitus (T2DM).Methods: This is a prospective observational study. We analyzed data from 122 insulin-treated patients with T2DM. Participants wore Dexcom G6 and Fitbit, and diet information was identified for 10 days. Multivari

4
Article|2 citations·2013
Al diffusion in ZnO nanowalls investigated by atom probe tomography
SungMin Park, Woo‐Young Jung, Chan‐Gyung Park
SJR Q1Metals and Materials International
Materials ChemistryMaterials Science
5
Article|2 citations·2013
Role of Nickel Catalyst during the Growth of ZnO Nanowalls Investigated by Atom Probe Tomography
SungMin Park, Woo‐Young Jung, Chan‐Gyung Park
SJR Q3Japanese Journal of Applied Physics

The synthesis of ZnO nanowalls using Ni as the catalyst has been studied. ZnO nanowalls were prepared using a (110) α-sapphire substrate coated with a Ni film. ZnO nanowalls were grown using a mixture of ZnO and graphite powders as a source at 950 °C and 15 Torr in a tube furnace. Heating led to the formation of Ni networks. The networks provided nucleation sites for the nucleation and growth of ZnO nanowalls. During the growth phase of the ZnO nanowalls, diffusion of Ni and Al was not expected

Materials ChemistryMaterials Science
6
Article|2 citations·2020
An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment
박성운, 이승현, 차원철, 허규연, 김재현, 이문규, 박성민, 진상만
Diabetes and Metabolism Journal

Background: We aimed to describe the outcome of a computerized intravenous insulin infusion (CII) protocol integrated to the electronic health record (EHR) system and to improve the CII protocol in silico using the EHR-based predictors of the outcome. Methods: Clinical outcomes of the patients who underwent the CII protocol between July 2016 and February 2017 and their matched controls were evaluated. In the CII protocol group (n=91), multivariable binary logistic regression analysis models were

7
Article|1 citations·2013
Distribution of nickel in zinc oxide nanowalls on sapphire substrate investigated using atom probe tomography
SungMin Park, Woo‐Young Jung, Chan‐Gyung Park
SJR Q1Scripta Materialia
Materials ChemistryMaterials Science
8
Article|0 citations·2025
Active Scanning Method for AUVs Using Entropy Maps Utilized with Underwater Sonar Measurements
박건우, 김재선, 박성민, 신기철, 이재준, 유선철
센서학회지

This paper presents an active scanning method for an autonomous underwater vehicle (AUV) equipped with an imagesonar to generate an underwater 3-dimensional (3D) map. As sonar information measured by AUVs is a useful feature to generateaccurate 3D maps underwater, where high turbidity and signal attenuation are prevalent, we propose a two-stage seabed scanningmethod: 1) scan over a designated area to generate a 3D occupancy map and represent uncertain regions in the occupancy map interms of entr

9
Article|0 citations·2011
Identifying the FTL mapping schemes of USB flash drives
Hyogi Sim, Jung Ho-Young, SungMin Park, Jaehyuk Cha, Sooyong Kang
Information (Japan)
Computer Networks and CommunicationsComputer Science
10
Article|0 citations·2026
Deep Brain Stimulation: Past, Present, and Future
Minhye Choo, Yoonbae Oh, Lydia S. Hong, Kristen M. Scheitler, Jennifer Tang-Cabrera, Jennifer Shin, Charles D. Blaha, Hojin Shin, SungMin Park, Kendall H. Lee
SJR Q1IEEE Transactions on Biomedical Engineering

Deep brain stimulation (DBS) has emerged as a revolutionary neurosurgical treatment for various movement and psychiatric disorders. Its development, rooted in advances in stereotactic surgery and early thalamotomies, led to its FDA approval for essential tremor (1997) and Parkinson's disease (2002), followed by applications in dystonia, obsessive-compulsive disorder (OCD), and epilepsy. While DBS has proven effective in these domains, research continues to explore its potential for treating cond

NeurologyMedicine
11
Article|0 citations·2020
An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020;44:56-66)
박성운, 이승현, 차원철, 허규연, 김재현, 이문규, 박성민, 진상만
Diabetes and Metabolism Journal
12
Article|0 citations·2020
Animal model evaluation of a novel renal denervation system for future laparoscopic treatment of resistant hypertension
송원훈, 백진환, 양선철, 최의근, 박성민, 정창욱
https://www.icurology.org/Synapse/Data/PDFData/2020ICU/icu-61-107.pdf

Purpose: Although percutaneous catheter-based ablation of renal sympathetic nerve fibers has been used in the treatment of patients with resistant hypertension, a recent phase III study did not confirm its efficacy. In this study, we developed a novel laparoscopic renal denervation system and evaluated its safety and initial feasibility using an animal model. Materials and Methods: A novel surgical instrument that uses a smart algorithm with temperature-monitoring feedback was developed. We used

Research Areas

Materials ChemistryControl and Systems EngineeringComputer Networks and CommunicationsNeurology

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