Mr. Hee-Jae Jeon | Biotechnology | Best Researcher Award
Professor, Kangwon National University, South Korea
🏆 Mr. Hee-Jae Jeon, a distinguished professor at Kangwon National University, South Korea, has been awarded the Best Researcher Award in Biotechnology. With an unwavering commitment to innovation and excellence, Mr. Jeon has made remarkable contributions to the field of biotechnology. His groundbreaking research has not only advanced scientific knowledge but also holds immense promise for addressing critical challenges in various domains. Through his dedication and expertise, Mr. Jeon continues to inspire and lead the way in pushing the boundaries of biotechnological research, paving the path for a brighter and more sustainable future.
Profile
Education
Mr. Hee-Jae Jeon pursued an academic journey spanning across diverse fields. He obtained his Bachelor’s degree in Mechanical Engineering from Meiji University, Tokyo, Japan (2005 – 2009), delving into the intricacies of machinery and systems 🏗️. His quest for knowledge led him to Korea University, Seoul, South Korea, where he earned his Master’s degree in Micro/Nano System (2012 – 2014) 🎓. Driven by a passion for interdisciplinary research, he completed his Ph.D. in Biomedical Science and Engineering from the Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea (2015 – 2020) 🧬.
Work Experience
Mr. Hee-Jae Jeon, currently serving as an Associate Professor at Kangwon National University, has a prolific research background, spanning various domains globally. 🌍 He commenced his journey as a Research Assistant at HAN’A SS, where he designed 3D models for orchard spraying and managed R&D projects for smart plant factories. Later, at Korea Photonics Technology Institute (KOPTI), he spearheaded projects on medical optic sensors, industrial optical sensors, Lidar technology, and distributed acoustic sensor simulation. 🛠️ Subsequently, as a Postdoctoral Associate at Purdue University, he delved into innovative technologies such as nano particle-embedded contact lenses for diabetes detection and AI-based anti-counterfeiting solutions. 🧬 Now, at Kangwon National University, he continues to innovate, focusing on AI-based anti-counterfeiting technology, smartphone algorithms for diabetes management, and mentoring aspiring researchers. 📱🔬
Grants and Awards
Mr. Hee-Jae Jeon has been recognized with several prestigious grants, showcasing his remarkable contributions to the fields of healthcare and research in South Korea. In 2020-2021, he was awarded the Ministry of Health and Welfare grant through the Korea Health Industry Development Institute, totaling KRW 84,000,000. He continued to excel, receiving the National Research Foundation of Korea (NRF) grants for various projects, including the Excellent Young Researcher grant from 2023 to 2027, and the local talent training project grant from 2023 to 2031. His endeavors also extended to industry-university cooperation, as he secured the Leaders in Industry-University Cooperation 3.0 grants for several projects, demonstrating his commitment to innovation and collaboration. With a focus on precision medicine and digital healthcare, Mr. Jeon continues to make significant strides in advancing the healthcare industry in Korea. 🏥🔬🌐
Lecture
Mr. Hee-Jae Jeon, from September 2022 to the present, has been deeply immersed in a diverse range of engineering disciplines. His journey includes engaging in mechanical engineering experiments 🛠️, mastering engineering mathematics 📊, and delving into automatic control systems 🤖. He has expanded his expertise in automatic control systems further with Automatic Control 2. Additionally, Mr. Jeon has explored the fascinating realm of biomedical optics 🔬 and honed his skills in CAD (Computer Aided Design) 💻. Furthermore, his exploration extends to the integration of technology in healthcare, including the study of Medical Information Systems 🏥 and the intersection of AI and Healthcare 🤝.
Publications Top notes
In vivo study of optical speckle decorrelation time across depths in the mouse brain
Tear glucose measurement by reflectance spectrum of a nanoparticle embedded contact lens
Optical assessment of tear glucose by smart biosensor based on nanoparticle embedded contact lens
Image-based quantitative analysis of tear film lipid layer thickness for meibomian gland evaluation