Daejeon, South Korea

Hoon Ki Lee

USPTO Granted Patents = 52 

Average Co-Inventor Count = 4.2

ph-index = 7

Forward Citations = 140(Granted Patents)

Forward Citations (Not Self Cited) = 138(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Chollabuk-do, KR (2004)
  • Peoria, IL (US) (2012 - 2014)
  • Hwasung-si, KR (2014)
  • Daejeon-si, KR (2014 - 2015)
  • Savoy, IL (US) (2015)
  • Gyeonggi-do, KR (2017)
  • Ann Arbor, MI (US) (2018)
  • Daejeon, KR (2009 - 2020)
  • Hwaseong-si, KR (2016 - 2022)
  • Gyeonggi.do, KR (2022)
  • Gunpo-si, KR (2017 - 2023)
  • Busan, KR (2023)

Company Filing History:


Years Active: 2004-2025

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Areas of Expertise:
Beamforming
Deep Neural Networks
Sensor Fusion
Vehicle Tracking
Lane Change Prediction
V2V Communication
Obstacle Recognition
Wireless Communication
Machine Learning
Multimedia Content Reproduction
Social Network Services
Signal Detection
52 patents (USPTO):Explore Patents

Title: Hoon Ki Lee: Innovator in Sensor Fusion and Deep Learning Technologies

Introduction: Hoon Ki Lee, based in Daejeon, South Korea, is a prominent inventor with a remarkable portfolio of 51 patents. His work primarily focuses on advancements in sensor fusion systems and deep learning methodologies, contributing significantly to the fields of automation and telecommunications. Lee's innovative contributions have positioned him as a notable figure in the realm of technology and innovation.

Latest Patents: Among his latest patents, two stand out for their advanced application and technological implications. The first is an "Omnidirectional Sensor Fusion System and Method and Vehicle Including the Same." This patent outlines a sophisticated system for processing recognition information from multiple sensors, enabling the generation of a comprehensive sensor track. The system further includes mechanisms for sensor track association determination and maintenance, enhancing vehicle navigation and safety.

The second patent, titled "Deep Learning Based Beamforming Method and Apparatus," introduces a novel approach to beamforming using deep neural networks. This method encompasses various layers of neural networks to optimize signal transmission to multiple terminals efficiently. By leveraging beamforming vectors derived from the network’s output, this invention has the potential to significantly improve communication signals in complex environments.

Career Highlights: Hoon Ki Lee has made substantial contributions while working at reputable institutions. Notably, he has held positions at the Electronics and Telecommunications Research Institute and Hyundai Motor Company. These experiences have allowed him to refine his expertise in sensor technologies and deep learning applications, leading to pioneering innovations in these areas.

Collaborations: Throughout his career, Lee has collaborated with notable professionals such as Youn Ok Park and Seul Ki Han. These partnerships have fostered a creative environment for the development of cutting-edge technologies that challenge the norms of conventional design and functionality.

Conclusion: Hoon Ki Lee's extensive patent portfolio and collaborative spirit underline his role as a leading innovator in sensor technology and deep learning. His latest inventions are poised to influence various industries significantly, promising enhanced automation, better communication systems, and safer transportation solutions. As he continues to advance the frontiers of technology, Hoon Ki Lee exemplifies the essence of innovation in today's rapidly evolving landscape.

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