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Mingkang He

Technology Specialist

Redwood City, CA
650-839-5079
He@fr.com
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Mingkang He Photo

Background

Mingkang He is a Technology Specialist in Fish & Richardson’s Silicon Valley office. His practice focuses on patent drafting and prosecution in the areas of artificial intelligence, robotics, optimization and control, autonomous driving vehicles, and computer vision.

During his time at the Laboratory for Computational Sensing and Robotics within Johns Hopkins University, Mr. He focused on development and deployment of innovative robotics systems that function effectively in real-world applications. In addition, he has experience working on a range of artificial intelligence algorithms and advanced augmented reality technologies. His projects included various deep learning, reinforcement learning, and generative models to be used in areas of motion planning and medical imaging. He has also contributed to a novel calibration method and user interaction modality for head-mounted displays that improved surgical navigation.

Prior to joining the firm, Mr. He has industry experience in field of corporate research and development. At BMW Group Technology Office, his research focused on the topic of environment perception for autonomous driving vehicles. He has developed algorithm for point cloud based object segmentation and fusion pipeline of various sensors (i.e. camera, LiDAR, and radar). At GE Global Research, he has also implemented technology solutions to streamline the workflow of renewable energy applications, and to support the development of Industrial Internet platform.

Education

M.S., Johns Hopkins University 2018
Robotics


B.S., University of Illinois at Urbana-Champaign 2016
Electrical Engineering
Mathematics minor

Language

  • English
  • Mandarin Chinese

Other Distinctions

Publications

K. Banerjee, D. Notz, J. Windelen, S. Gavarraju and M. He, “Online Camera LiDAR Fusion and Object Detection on Hybrid Data for Autonomous Driving,” 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, 2018, pp. 1632-1638.