This inventor holds 67 USPTO granted patents and 23 published patent applications and 1 EPO patent, primarily in 3D Image Processing (CPC class H04N). Top assignees: Samsung Electronics Co., Ltd., Samsung Sdi Co., Inc., Samsung Electro-Mechanics Co., Ltd.. Active years: 2006-2023.
Inventors with similar research interests:
Location History:
- Yongin-si, KR (2009 - 2014)
- Seongnam-si, KR (2006 - 2021)
- Suwon-si, KR (2010 - 2023)
Company Filing History:
50 out of 132,107Â 
11 out of 7,663Â 
6 out of 7,633Â 
Years Active: 2006-2023
Areas of Expertise:
Title: Jae-jun Lee: An Innovator in Machine Learning and Device Technology
Introduction
Jae-jun Lee, based in Suwon-si, South Korea, is a prolific inventor with an impressive portfolio of 67 patents. His work primarily focuses on advancements in machine learning and innovative methods of displaying objects on various devices. His contributions significantly enhance the efficiency and user experience in technology applications.
Latest Patents
Among Jae-jun Lee's latest patents are two notable innovations. The first is a "Method and apparatus for selecting a model of machine learning based on meta-learning". This invention outlines a method whereby a processor selects an optimal model for machine learning by analyzing datasets and meta-features to optimize configuration spaces for better performance. The second patent, "Method for displaying object on device and device therefor", describes a technique for displaying a thumbnail image of an object dynamically, allowing for user interaction through size adjustments based on user input. These inventions underscore his expertise in merging machine learning with user-centric design.
Career Highlights
Jae-jun has made significant strides in his career while working with esteemed companies like Samsung Electronics Co., Ltd. and Samsung SDI Co., Inc. His tenure at these organizations has allowed him to develop and refine his innovations, contributing to the broader field of technology and enhancing the capabilities of electronic devices. His foundational work in machine learning applications has positioned him as a thought leader in this trailblazing sector.
Collaborations
Throughout his career, Jae-jun Lee has collaborated with notable professionals in the field, including Myung-Sup Jung and Hong-seok Park. These partnerships have likely fostered an environment of shared knowledge and innovative thinking, further propelling advancements in technology and design.
Conclusion
In summary, Jae-jun Lee's contributions to machine learning and device technology are characterized by a commitment to innovation and user experience. With a strong portfolio of 67 patents reflecting his ingenuity, he continues to pave the way for future technologies that enhance efficiency and interaction in digital environments. His work and collaborations emphasize the importance of combining technical proficiency with creative problem-solving in the pursuit of technological advancements.