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.

Yumeng Su | Engineering | Best Researcher Award

Mr. Yumeng Su | Engineering | Best Researcher Award

Mr. Yumeng Su at Shanghai Jian Qiao University, China.

Su Yumeng πŸŽ“, a top-ranking computer science undergraduate at Shanghai Jian Qiao University πŸ‡¨πŸ‡³, excels in AI πŸ€–, robotics 🚁, and embedded systems 🧠. With hands-on experience in drone development, ROS, and deep learning πŸ’‘, he has published impactful research and led award-winning teams πŸ†. His technical expertise spans Python, MATLAB, LaTeX, and advanced hardware platforms like Jetson Nano and STM32 πŸ’». Beyond academics, he’s a dynamic leader and athlete πŸ€πŸš΄β€β™‚οΈ, known for his resilience and innovation in intelligent systems and smart hardware applications πŸ”. Su’s work bridges theoretical AI with real-world applications 🌐.

Publication Top Notes

ORCID

Suitability for Best Researcher Award – Su Yumeng

Su Yumeng is a highly promising and exceptionally driven early-career researcher whose blend of technical excellence, innovation, and leadership places him as a top contender for the Best Researcher Award. As an undergraduate, his hands-on contributions to AI, robotics, and embedded systems are not only commendable but groundbreaking, particularly for his academic level. He demonstrates a rare ability to translate theory into impactful real-world applications, bridging research with innovation in autonomous systems, drone technology, and intelligent hardware solutions.

πŸ”Ή Education & Experience

  • πŸŽ“ B.Sc. in Computer Science & Technology, Shanghai Jian Qiao University (2021–Present)

  • πŸ“ Focus: AI, Robotics, Embedded Systems, and Smart Hardware

  • πŸ“š Completed key courses with top grades (AI, Python, Robotics, Microcontroller Principles, etc.)

  • πŸš€ ROS training at East China Normal University (Basic & Advanced UAV/Vehicle Tracking)

  • πŸ›  Internship at Superdimension Technology Space: Autonomous drone development

  • πŸ§ͺ Project collaboration with FAST-Lab at Zhejiang University on UAVs

πŸ”Ή Professional Development

Su Yumeng continually advances his professional skills through academic projects πŸ§ͺ, interdisciplinary competitions πŸ†, and real-world UAV applications 🚁. He has mastered the integration of AI models like YOLO with edge computing platforms such as Jetson Nano and Raspberry Pi πŸ’». His leadership in innovation competitions reflects his capacity to guide teams and deliver impactful solutions 🎯. Su’s deep involvement in research and drone design demonstrates his ability to convert academic concepts into cutting-edge technology πŸ’‘. With practical ROS experience and sensor fusion expertise, he remains at the forefront of smart automation and robotics 🌐.

πŸ”Ή Research Focus Category

Su Yumeng’s research focuses on Artificial Intelligence in Embedded and Autonomous Systems πŸ€–, especially in smart robotics and deep learning applications for environmental perception and control 🌍. His work bridges physics-informed neural networks (PINNs) with real-time sensor fusion for drones and robotics 🀝. He explores practical challenges like crack detection in infrastructure using UAVs πŸ› οΈ, baby posture recognition on embedded platforms 🍼, and SLAM-based navigation for wheeled robots πŸš—. His interdisciplinary approach merges hardware innovation with AI, yielding scalable, intelligent, and responsive systems suitable for civil engineering, healthcare, and autonomous mobility fields πŸš€.

πŸ”Ή Awards & Honors

  • πŸ₯‡ National Second Prize, 17th National College Student Computer Design Competition (2024)

  • πŸ₯‰ National Bronze & Shanghai Gold, China Innovation Competition (2024)

  • πŸ₯‡ Shanghai Gold Award, Career Planning Competition (2024)

  • πŸ… First Prize, Shanghai College Student Computer Application Competition (2024)

  • πŸ₯ˆ Shanghai Second Prize, Ti Cup Electronic Design Contest (2023)

  • πŸ₯‰ Bronze Award, “Challenge Cup” Entrepreneurship Plan Competition

  • πŸ₯‰ Shanghai Third Prize, China Robot & AI Competition (2024)

  • πŸŽ– National Motivational Scholarship Γ—3

  • πŸŽ“ President β€œQing Yun” Scholarship

  • πŸŽ— School Special Scholarship

Publication Top Notes

  • “The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV”
    Cited by: 13 | Year: 2020 ​

  • “Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning-Assisted Image Processing Approach”
    Cited by: 20 | Year: 2022

Conclusion

Su Yumeng’s combination of academic excellence, deep technical knowledge, hands-on innovation, and research impact clearly distinguishes him as an ideal recipient of the Best Researcher Award. His contributions as an undergraduate are extraordinary and reflect the potential of a future global leader in AI and robotics research.