Dr. Cheolkon Jung |Leading Researcher in machine learning
Congratulations,Dr Cheolkon Jung on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!
Dr Cheolkon Jung Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.
Professional Profiles:
📚 Education
Ph.D. in Electrical and Computer Engineering
Sungkyunkwan University, Suwon, Korea, 2002
Thesis: A Study on Moving Object Segmentation based on Motion Analysis
Advisor: Prof. Joongkyu Kim
💼 Employment Journey
Professor, School of Electronic Engineering
Xidian University, China, 2011 – Present
Director, Media Lab
Xidian University, China, 2015 – Present
Visiting Scholar (Young Scientist Exchange Program)
School of Electronic Engineering, Xidian University, China, 2009 – 2010
Assistant Research Professor
School of Information and Communication Engineering, Sungkyunkwan University, Korea, 2008 – 2010
Postdoctoral Fellow
School of Information and Communication Engineering, Sungkyunkwan University, Korea, 2007 – 2008
Senior Researcher, Multimedia Lab
Samsung Advanced Institute of Technology, Samsung Electronics, Korea, 2002 – 2007
🏆 Honors and Awards
1st Batch Huashan Distinguished Professor
Xidian University, China, 2020
1st Batch Xidian Young Fellow
Xidian University, China, 2014
1st Batch Thousand Young Talents Program
China, 2011
2nd Batch Hundred Talents Program of Shaanxi Province
China, 2010
📖 Publications TOP NOTE
- DSRNet: Depth Super-Resolution Network guided by blurry depth and clear intensity edges paper published in February 2024