Assist Prof Dr. Hwa-Dong Liu, Undergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taiwan

Hwa-Dong Liu is an Assistant Professor at National Taiwan Normal University (NTNU) in Taipei, Taiwan, specializing in power electronics, microcontrollers, rail vehicle power systems, and solar power systems. He holds a Ph.D. in Electrical Engineering from National Taiwan University of Science and Technology (NTUST). His research interests include the development of advanced power converters, control strategies for renewable energy systems, and innovative solutions for electric vehicle charging. Dr. Liu has authored numerous papers in reputable journals, with a focus on improving the efficiency and performance of power electronic systems and renewable energy technologies. His recent work includes contributions to energy management systems, high-gain boost converters, and novel MPPT algorithms for solar power generation.

Publication top Notes:

An improved solar step-up power converter for next-generation electric vehicle charging

Hybrid Management Strategy for Outsourcing Electromechanical Maintenance and Selecting Contractors in Taipei MRT

An Improved High Gain Continuous Input Current Quadratic Boost Converter for Next-Generation Sustainable Energy Application

Novel MPPT algorithm based on honey bees foraging characteristics for solar power generation systems

High-Voltage Autonomous Current-Fed Push-Pull Converter with Wireless Communication Applied to X-Ray Generation

Dr. You Hyun Park | Noise Filtering Award | Young Scientist Award

Dr. You Hyun Park, Yonsei University Wonju College of Medicine, South Korea

YouHyun Park is a researcher at the National Health BigData Clinical Research Institute, Yonsei University Wonju, and a member of the Industry-Academic Cooperation Foundation at Yonsei University. He earned his Ph.D. in Medical Information and Statistics from Yonsei University in August 2023, following a Master of Public Health and a Bachelor’s degree in Public Health and Information and Statistics from the same institution. His research focuses on biostatistics, public health, and the application of AI algorithms for health management. Park leads several significant projects, including the development of predictive models for preventable deaths and environmental hazard management for vulnerable groups. His work has been supported by prominent funding agencies, including the National Research Foundation of Korea and the Korea Environmental Industry & Technology Institute. His projects also encompass self-health monitoring services, public healthcare cooperation systems, and the analysis of health data for predicting factors in diseases like Parkinson’s and early childhood caries.

Professional Profile:

ORCID

Summary of Suitability for Young Scientist Award:

YouHyun Park stands out as an exemplary candidate for the Young Scientist Award due to his significant contributions to the fields of biostatistics, public health, and AI algorithms in health management. Here are the key reasons why he is a strong contender:

Education

PhD in Medical Information and Statistics
Graduate School of Yonsei University
September 2020 – August 2023
Master of Public Health
Graduate School of Yonsei University
March 2018 – February 2020
Bachelor of Public Health
Yonsei University
March 2014 – February 2018
Bachelor of Information and Statistics
Yonsei University
March 2014 – February 2018

Work Experience

National Health BigData Clinical Research Institute, Yonsei University
Industry-Academic Cooperation Foundation, Wonju, Republic of Korea
Current Position
Department of Medical Informatics and Biostatistics, Yonsei University Graduate School
Seoul, Republic of Korea
Current Position
Principal Investigator
- Development of a Predictive Model for Preventable Death in High-Risk Groups of Solitary Deaths Based on Explainable AI for Single-Person Households
  May 2024 – April 2029
  Funding Agency: National Research Foundation of Korea
Researcher
- Development of a Customized Environmental Hazard Management Service Model for Sensitive and Vulnerable Groups
  April 2021 – December 2024
  Funding Agency: Korea Environmental Industry & Technology Institute
- One-Person Household Self-Health Monitoring Service Model Development
  June 2022 – August 2023
  Funding Agency: National Research Foundation of Korea

Publication top Notes:

Factors Predicting Older People’s Acceptance of a Personalized Health Care Service App and the Effect of Chronic Disease: Cross-Sectional Questionnaire Study

Assist Prof Dr. Hwa-Dong Liu | Signal Processing | Best Researcher Award