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

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

Association between smoking and all-cause mortality in Parkinson’s disease

Evaluation of an air quality warning system for vulnerable and susceptible individuals in South Korea: an interrupted time series analysis

Association Between Smoking and All-Cause Mortality in Parkinson’s Disease

Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review

 

Dr. Paulo Santos | Noise Reduction | Best Researcher Award

Dr. Paulo Santos | Noise Reduction | Best Researcher Award 

Dr. Paulo Santos, DTx Colab – Digital Transformation CoLab, Portugal

Paulo Jorge da Silva Santos is a highly skilled Electronics Engineer based in Braga, Portugal, born on July 18, 1983. With a robust background in advanced engineering systems and industrial electronics, Paulo currently serves as a Research Technician – Level 3 at DTx Colab – Digital Transformation CoLab. His role involves developing IoT-connected devices and integrating AI-driven gas sensor technology to enhance gas distribution pipeline safety. Paulo’s previous research at the University of Minho focused on Active Noise Cancellation (ANC), resulting in two patents for innovative ANC systems designed to reduce noise in automotive applications. His work also includes designing ultrasonic mid-air haptics systems and developing advanced methodologies for optimizing inductive position sensors. Paulo holds a Doctoral Degree in Advanced Engineering Systems for Industry from the University of Minho, where he contributed to optimizing sensor geometry and designing noise control systems. His academic background includes a degree in Industrial Electronics and Computers, with specialization in telecommunications and embedded systems.

Professional Profile:

ORCID

 

🎓 Education:

Paulo is currently pursuing a Doctoral Program in Advanced Engineering Systems for Industry at the University of Minho, in collaboration with Bosch Car Multimedia Portugal. His research includes optimizing inductive position sensors and developing active noise control systems.

Previously, Paulo earned a degree in Industrial Electronics and Computers from the University of Minho, with a specialization in Telecommunications and Embedded Systems. His academic projects included developing a voice-controlled remote car and a radio scanner capable of receiving a wide range of signals.

🏆 Achievements:

Paulo’s academic excellence has been recognized with a Scholarship of Excellence and a Merit-based scholarship diploma.

Skills:

  • IoT Development
  • Active Noise Cancellation
  • AI Integration
  • Ultrasonic Haptics
  • FPGA Design

🔬 Previous Experience:

From May 2015 to February 2018, Paulo worked as a Researcher at the University of Minho, where he focused on Active Noise Cancellation (ANC) systems. His work led to the development of two patents:

  • ‘Active noise cancelling system, based on a frequency domain audio control unit’ (WO2020012235A1)
  • ‘Selective active noise cancelling system’ (WO2020012229A1)

His innovative projects also include designing ultrasonic mid-air haptics on an FPGA, showcasing his expertise in both hardware and software domains.

 

Publication top Notes:

 

Spatiotemporal Modulation for Ultrasonic Mid-Air Haptics: Sensation’s Specification and Validation

Hardware accelerated Active Noise Cancellation system using Haar wavelets

Preliminary Assessment of Combined Stimuli with Laterally Modulated Midair Ultrasound Focus

Foucault’s currents based position sensor