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Core Expertise: Yajie Sun possesses extensive experience (over 20 years) in the fields of Image Processing, Computer Vision, and Machine Learning, specializing in CMOS imaging sensors, camera ISP algorithms, image quality tuning, and real and AI-generated image/video analysis.

• Strong Academic Background: PhD in Electrical and Computer Engineering from Purdue University.
• Diverse Industry Experience: Held senior positions in prominent companies like Samsung, GoPro, Aptina Imaging, Nokia Technologies, and Phantom AI, contributing significantly to product development and research.
• Prolific Inventor: Holds over significant patents in the US and Europe showcasing innovation in CMOS sensor imaging and camera systems.
• Adaptable Skillset: Demonstrates proficiency in various programming languages, frameworks, and technologies including C/C++, OpenCV, Matlab, Python, TensorFlow, PyTorch, and Claude Code/OpenAI Codex.

Key Areas of Expertise and Contributions:

• CMOS Image Sensor Technologies:
  • Deep understanding of CMOS imaging sensor architecture and operation.
• Camera ISP Algorithms and Tuning:
  • Extensive experience in tuning and optimizing image signal processing (ISP) pipelines for various applications, including consumer cameras, automotive ADAS, and mobile devices.
  • Contributed to the development and tuning of HDR (High Dynamic Range) imaging systems, improving image quality in challenging lighting conditions.
  • Resolved critical camera module issues related to flickering, saturation, and dynamic range, leading to successful design wins with major clients.
  • Automotive image sensors designed for challenging low-light and night-vision conditions, delivering superb, noise-free image and video quality.
• 3D Vision and Applications:
  • Proficient in 3D stereo calibration and depth map generation enabling 3D vision applications.
• Machine Learning and AI:
  • Expert in applying Machine Learning and AI techniques for image/video analysis and computer vision tasks.
  • Proficient in utilizing libraries like OpenCV, scikit-learn, PyTorch, and TensorFlow.
  • Offers insights, understanding and analysis of generative AI image and video.
• Computer Vision for Diverse Applications:
  • Proficient in customizing low-level embedded 3A algorithms for diverse applications.
  • Adaptable across various computer vision use cases, such as 360-degree video.

Yajie Sun is a highly skilled and experienced professional with a proven track record of innovation and impactful contributions in the field of CMOS imaging and image processing. His expertise spans from fundamental image sensor technologies to advanced AI-powered applications, making him a valuable asset to any organization involved in imaging and vision systems.

Katherine Sun has been a Resident Researcher at YJS Consulting since January 2025. She is currently a high school student at BASIS Independent Fremont. Her research interests include digital imaging and photography, art theory and presentation, the intersections of the environment, imaging, and art, and the impact of artificial intelligence on photography and the fine arts. Outside of her research, Katherine enjoys reading, drawing, painting, designing artwork, environmental science, biology, and robotics.