JUN WON HO | Computer Engineering | Best Researcher Award

Dr. JUN WON HO | Computer Engineering | Best Researcher Award

Research Fellow at Incheon National University, South Korea.

Dr. Jun Won-Ho πŸŽ“ is a dedicated Research Fellow at Incheon National University, South Korea πŸ‡°πŸ‡·. He earned his Ph.D. in Computer Engineering in February 2023 🧠, focusing on sleep pattern analysis in an unconscious, non-intrusive state πŸ›οΈ. His innovations aim to revolutionize sleep health through biosensor-based technologies πŸ’‘. With peer-reviewed publications in SCI-indexed journals πŸ“š and a patent on body weight estimation while lying in bed 🧾, Dr. Jun is making sleep monitoring accessible and home-based. His work bridges healthcare and engineering, offering practical solutions for sleep apnea detection 🩺 using biosensors and ambient signals 🌐.

Professional Profile:

ORCID

Suitability for Best Researcher Award – Dr. Jun Won-Ho

Dr. Jun Won-Ho is highly suitable for the Best Researcher Award due to his pioneering research at the intersection of biomedical engineering and computer science. Despite being an early-career researcher, he has demonstrated remarkable innovation and scientific productivity, especially in the field of non-intrusive sleep health monitoring. His Ph.D. and postdoctoral work have resulted in SCI-indexed journal publications, a granted patent, and the development of AI-based, contact-free technologies to address global health concerns like sleep apneaβ€”showing both originality and real-world impact.

πŸŽ“ Education and Experience

  • πŸŽ“ Ph.D. in Computer Engineering – Incheon National University (2023)

  • πŸ§ͺ Research Fellow – Incheon National University (Current)

  • πŸ“„ Published in SCI-indexed journals – Including Sensors

  • πŸ›οΈ Doctoral Research – Focused on unobtrusive sleep pattern analysis

  • πŸ”¬ Ongoing Research – Development of self-screening technology for sleep apnea

  • 🧾 Patent Holder – System for estimating body weight while lying on a bed

πŸš€ Professional Development

Dr. Jun Won-Ho has significantly contributed to the field of sleep science and biomedical engineering 🧠. His journey began with a strong academic foundation in computer engineering πŸŽ“, which he has transformed into impactful research focused on real-world health challenges 🩺. He has authored articles in SCI-indexed journals πŸ“š and currently works on a cutting-edge sleep apnea screening solution using biosensors and environmental data πŸŒ™πŸ“Š. His patented invention 🧾 and active engagement in non-contact health monitoring technologies reflect his innovative mindset and commitment to improving global health accessibility πŸŒπŸ’‘.

🧬 Research Focus Category

Dr. Jun Won-Ho’s research falls under the category of Biomedical Engineering and Sleep Science πŸ§ πŸ›Œ. He is especially focused on unobtrusive health monitoring, developing systems that use biosensors, physiological signals, and environmental data to analyze sleep patterns and detect sleep disorders like apnea 😴🩺. His goal is to eliminate the need for intrusive clinical testing such as polysomnography πŸ§ͺ and instead offer home-based, AI-powered health solutions πŸŒπŸ“². His patented work on weight estimation during sleep complements his broader mission of advancing digital health technologies for continuous, contact-free care πŸ§ΎπŸ’‘.

πŸ… Awards and Honors

  • 🧾 Patent Granted – System for Estimating Body Weight While Lying on a Bed (KR 10-2556030)

  • πŸ“„ SCI-Indexed Publications – Published 2 articles in renowned journals like Sensors

  • πŸ“Œ Ph.D. Achievement – Doctorate completed with impactful research in 2023

  • πŸ† Nominated for Best Researcher Award – For contributions to biomedical sleep technology

  • 🧠 Research Innovation Recognition – Development of non-contact sleep apnea screening system

Publication Top Notes

1. Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow

  • Published: April 30, 2025

  • Journal: Bioengineering

  • DOI: 10.3390/bioengineering12050480

  • Summary: This study introduces a novel method for detecting sleep posture by analyzing humidity fluctuations using sensors embedded in a pillow. The system monitors changes caused by respiration and perspiration, offering a non-invasive approach to sleep posture detection.

2. Sleep Pattern Analysis in Unconstrained and Unconscious State

  • Published: November 29, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22239296

  • Citation Count: 6

  • Summary: This research analyzes sleep patterns in individuals without physical constraints or active awareness. Utilizing various sensors, the study collects physiological and environmental data to classify sleep stages, providing insights into natural sleep behaviors.MDPI

3. Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes

  • Published: July 19, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22145388

  • Citation Count: 12

  • Summary: This paper presents a reconfigurable module for multi-sensor data fusion, applied to unmanned storage boxes. By integrating data from various sensors, the system enhances reliability and security in automated storage environments.

Conclusion

Dr. Jun Won-Ho exemplifies the qualities of a Best Researcher Award recipient through his innovative mindset, impactful biomedical applications, and commitment to global health technology advancement. His work is not only academically rigorous but also practically transformative, making essential health monitoring more accessible, affordable, and patient-friendly. He stands out as a rising star in biomedical engineering, well-deserving of this prestigious recognition.

Li Wang | Engineering | Best Scholar Award

Li Wang | Engineering | Best Scholar Award

PHD Candiate at chongqing university, China.

Li Wang is a dedicated Ph.D. candidate at Chongqing University, specializing in electrical engineering with a focus on ice prevention and mitigation for power grids. His journey began with a B.S. in electrical engineering from Qilu University of Technology, followed by an M.S. from Sichuan University. His current research is embedded within the prestigious State Key Laboratory of Power Transmission Equipment and System Security and New Technology at Chongqing University. Li has completed three research projects, with his work published in respected journals such as Applied Thermal Engineering and Polymers. His research aims to improve power system resilience by addressing ice accumulation and insulator flashover issues. With practical experience in a State Grid Zhejiang Electric Power Co. project and a citation index of 28.5, he is emerging as a promising scholar in electrical engineering and insulation technology, with plans to continue advancing research to address industry challenges.

ProfileπŸ‘€

Google Scholar

Education πŸŽ“

Li Wang completed his B.S. degree in electrical engineering from Qilu University of Technology in 2016, where he developed foundational knowledge in power systems and insulation technology. Pursuing further specialization, he earned his M.S. in electrical engineering from Sichuan University in 2019, deepening his understanding of energy transmission and system reliability. His educational background is characterized by a blend of theoretical and practical learning, equipping him to handle the challenges of power grid reliability and insulation in extreme conditions. Currently, he is a Ph.D. candidate at Chongqing University, where he is engaged with the State Key Laboratory, recognized for advancing research in power transmission security. His academic journey reflects a commitment to excellence in electrical engineering and energy infrastructure, with each step laying a foundation for his research into ice prevention and system safety.

ExperienceπŸ’Ό

Li Wang’s professional and academic experience is rooted in electrical engineering, with a focus on developing solutions to protect power systems from extreme weather. As a Ph.D. candidate at Chongqing University, he has contributed to three significant research projects, each aimed at enhancing the resilience of electrical insulation in ice-prone environments. He has also gained practical experience through his involvement in an industry project with State Grid Zhejiang Electric Power Co., which provided real-world insights into the application of his research. This blend of research and industry experience has allowed Li to apply theoretical knowledge to practical problems, particularly in addressing challenges related to ice formation on power infrastructure. His work has been featured in leading journals, showcasing his ability to contribute valuable insights to the field.

Research Interests πŸ”¬

Li Wang’s research interests lie at the intersection of electrical engineering, material science, and environmental sustainability. He is particularly focused on developing innovative solutions for ice prevention and mitigation in power systems, which are critical for ensuring system reliability in regions prone to freezing temperatures. His work involves analyzing and improving the performance of insulators and power transmission equipment under icy conditions, with the goal of minimizing system failures and enhancing the durability of electrical infrastructure. Li is also interested in advancing knowledge on how environmental factors affect insulation performance, with implications for the future of power grid maintenance and resilience. His research is driven by a commitment to both scientific discovery and practical application, aiming to support the energy sector in adapting to increasingly challenging environmental conditions.

Awards and Honors πŸ†

Li Wang has achieved notable academic milestones, underscored by a citation index of 28.5, demonstrating the impact of his research in electrical engineering. Although early in his career, his publications in esteemed journals like Applied Thermal Engineering, Plant Methods, and Polymers have established him as a promising researcher in insulation technology. His work on ice prevention for energy equipment addresses critical challenges faced by the power industry, and his contributions to three research projects have been well-recognized within his academic community. Additionally, his involvement in an industry project with State Grid Zhejiang Electric Power Co. highlights his ability to translate research into real-world applications. Li’s academic achievements and professional contributions underscore his potential as an emerging leader in the field of power grid safety and resilience.

Conclusion πŸ”šΒ 

Li Wang’s research in preventing and mitigating ice damage in power grids has potential for real-world impact, making him a promising candidate for the Best Scholar Award. With future growth in collaborations and publications, he has a strong foundation to contribute significantly to his field.

Publications Top NotesΒ πŸ“š

Title: “Mechanism of self-recovery of hydrophobicity after surface damage of lotus leaf”
Authors: L. Wang, L. Shu, Q. Hu, X. Jiang, H. Yang, H. Wang, L. Rao
Journal: Plant Methods
Year: 2024
Citation Count: 3

Title: “Ultra-efficient and thermally-controlled atmospheric structure deicing strategy based on the Peltier effect”
Authors: L. Wang, L. Shu, Y. Lv, Q. Hu, L. Ma, X. Jiang
Journal: Applied Thermal Engineering
Year: 2024
Citation Count: 1