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.

Oluwafemi Oke | Cybersecurity | Best Researcher Award

Dr. Oluwafemi Oke | Cybersecurity | Best Researcher Award

Lecturer at Near East University, Cyprus.

Oluwafemi Ayotunde Oke is a passionate researcher and lecturer specializing in Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity. He holds a Ph.D. in Computer Information Systems from Near East University and has extensive experience in software development, IT engineering, and research assistance. His research focuses on AI-driven innovations in cardiology, finance, and healthcare. With numerous publications in high-impact journals, Oluwafemi actively contributes to international conferences, presenting groundbreaking insights. He is also a member of the Computer Information Systems Research and Technology Centre and has been nominated for prestigious research awards. βœ¨πŸ“Š

Professional Profile:

ORCID Profile

Suitability for Best Researcher Award πŸ†

Dr. Oluwafemi Ayotunde Oke is highly suitable for the Best Researcher Award due to his outstanding contributions to Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity. His research spans across multiple domains, including healthcare, finance, and smart cities, demonstrating the interdisciplinary impact of his work.

Education & Experience πŸŽ“πŸ’Ό

πŸ“Œ Ph.D. in Computer Information Systems – Near East University (2024)
πŸ“Œ M.Sc. in Software Engineering – Babcock University (2020)
πŸ“Œ B.Sc. in Computer Engineering (Technology) – Babcock University (2016)

πŸ‘¨β€πŸ« Part-Time Lecturer – Near East University (2023-Present)
πŸ”¬ Research Assistant – Near East University (2022-Present)
🌍 Assistant Director of IT & Communications – National Association of Nigerian Students (2022-2024)
πŸ’» IT Engineer – GIFA INC (2021)
πŸ–₯️ IT Developer – Yeni Bakis (2021)
πŸ”§ Design Engineer – Daxlinks Global (2021)
πŸ“š Graduate Research Assistant – Computer Professionals of Nigeria (2020)
🎧 Head of Audiovisuals – Taidob College (2018-2019)

Professional Development πŸš€πŸ“š

Oluwafemi Oke continuously hones his expertise through global certifications and specialized training in AI, cybersecurity, and IT. He holds IBM certifications in AI, Machine Learning, and Cybersecurity πŸ… and has completed courses from Duke University and Yale University on Cybersecurity and Well-being. As a Huawei Certified Network Associate (HCIA), he has gained expertise in Big Data, Cloud Computing, and AI Security. His Android Developer and CompTIA certifications further strengthen his software engineering skills. Committed to academic growth, he actively engages in research memberships, workshops, and technology conferences, ensuring he stays ahead in the ever-evolving tech landscape. πŸ”πŸ’‘

Research Focus πŸ”¬πŸ“Š

Oluwafemi Oke’s research is centered around Artificial Intelligence (AI) and its transformative impact on various fields. His work in Natural Language Processing (NLP), Electrocardiogram (ECG) image classification, and AI-driven financial services showcases the power of AI in improving healthcare, finance, and education. πŸ’™πŸ§  He has conducted bibliometric studies on AI in financial services, examined AI’s role in cardiology, and explored machine learning in conversational systems. πŸŒπŸ“ˆ His research also extends to AI’s role in smart cities, IoT-based water management, and climate change predictions. Through innovative AI solutions, he aims to revolutionize healthcare, security, and financial technologies. πŸ€–πŸ’°

Awards & Honors πŸ†πŸŽ–οΈ

πŸ… International Research Awards on Cybersecurity and Cryptography (Nominee, ID 1896)
πŸ“œ 2024 Best Ph.D. Thesis Award – Electronics Journal
πŸŽ“ Member, Computer Information Systems Research and Technology Centre
πŸ† Multiple Research Publications in SSCI/SCI-Expanded Journals
🌍 Presenter at Prestigious International Conferences

Publication Top Notes

  1. Building Tomorrow Green and Sustainable Imperatives in Smart City Development (2025) | Book Chapter
    πŸ“Œ Authors: Oluwafemi Ayotunde Oke, Nuriye Sancar, Nadire Cavus
    πŸ“Œ DOI: 10.1007/978-3-031-72479-4_38

  2. A Systematic Review on the Impact of Artificial Intelligence on Electrocardiograms in Cardiology (2025-03) | Journal Article
    πŸ“Œ Authors: Oluwafemi Ayotunde Oke, Nadire Cavus
    πŸ“Œ Journal: International Journal of Medical Informatics
    πŸ“Œ DOI: 10.1016/j.ijmedinf.2024.105753

  3. Artificial Intelligence for Computer Vision: Bibliometric Analysis (2024-03) | Preprint
    πŸ“Œ Authors: Oke O, Cavus N
    πŸ“Œ DOI: 10.21203/rs.3.rs-4098674/v1

  4. The Role of AI in Financial Services: A Bibliometric Analysis (2024-01-19) | Journal Article
    πŸ“Œ Authors: Oluwafemi Ayotunde Oke, Nadire Cavus
    πŸ“Œ Journal: Journal of Computer Information Systems
    πŸ“Œ DOI: 10.1080/08874417.2024.2304545

  5. The Impact of Artificial Intelligence in Foreign Language Learning Using Learning Management Systems: A Systematic Literature Review (2023-06-30) | Journal Article
    πŸ“Œ Authors: ОкС ΠžΠ»ΡƒΠ²Π°Ρ„Π΅ΠΌΡ– АйотундС, Π”Π°ΡˆΡ‚ΠΈ Π†ΡΠΌΡ–Π»ΡŒ Π”ΠΆΠ°ΠΌΡ–Π»ΡŒ, Надір ΠšΠ°Π²ΡƒΡ
    πŸ“Œ Journal: Information Technologies and Learning Tools
    πŸ“Œ DOI: 10.33407/itlt.v95i3.5233