Professional Role and Affiliation
Andreas Suess is a Senior Manager and Principal Engineer at OmniVision Technologies, based in Santa Clara, California, where he leads a system design team within the Office of the Chief Technology Officer (CTO). He joined OmniVision in 2018 and is currently stationed in their Santa Clara facility. His role encompasses engineering leadership in novel image sensor systems, focusing on research and development of advanced CMOS image sensors and hybrid event-based vision sensors.
Educational Background
- Bachelor of Science in Electrical Engineering (B.Sc.E.E.) with honors, University of Applied Sciences Düsseldorf, Germany (2008)
- Additionally educated at KU Leuven (context implies collaboration), with noted ties to advanced image sensor research teams.
Expertise and Technical Contributions
- Recognized expert in solid-state image sensor devices, CMOS image sensors, and event-based vision sensors (EVS).
- Key innovator in hybrid EVS + CIS (Complementary Metal-Oxide Semiconductor Image Sensor) hybrid devices that integrate event-based vision capabilities with traditional image sensors.
- Published over 300 technical papers in the field of image sensor technology, indicating a substantial contribution to scientific literature.
- Holds more than 175 issued US patents related to image sensor design and technology innovation.
- Cited by peers over 240 times across publications, underscoring influence and thought leadership within semiconductor imaging.
- Delivered notable presentations and served as chair or co-chair at high-profile industry conferences, including the IEEE International Solid-State Circuits Conference (ISSCC 2024 and 2025) and Society for Imaging Science and Technology (IS&T) Symposiums.
- Received the Best Student Paper Award at SPIE Photonics Europe in 2012 among over 1400 competing papers.
- Co-founded several startups and the International Image Sensor Society, highlighting entrepreneurial ventures in sensor technology.
Recent and Relevant Activities
- Session Chair at ISSCC 2024, managing sessions focused on imagers and ultrasound technologies, reflecting recognition as an authority in sensor systems.
- Frequent presenter at key workshops and conferences, including the 2023 CVPR Workshop on Event-based Vision and the Image Sensors and Systems conference (ISS), where he discusses advancements in event/image hybrid vision systems.
- Contributions to the development of high-resolution sensor technology with accurate depth measurement capabilities, useful for applications such as camera-assisted hand tracking and gesture recognition.
- Active in the leadership of the upcoming IEEE SENSORS 2024 conference, serving as Industrial Co-chair, which focuses on innovations in sensor technology.
- Engaged in addressing new market trends around photon-counting quanta image sensors, which significantly enhance imaging in low-light or photon-starved environments.
- Contributed to research and publications on noise optimization and correlated multiple sampling techniques for CMOS image sensors, demonstrating a focus on improving sensor precision and quality.
Technical Domains of Emphasis
- Image sensor noise reduction and optimization, including 1/f noise and correlated multiple sampling innovations.
- Event-based vision processing, with hybrid systems combining asynchronous event sensors with traditional global-shutter sensors for improved dynamic range and temporal resolution.
- Systems designed for high dynamic range (HDR) sensing, 3D point cloud and depth imaging, supporting both photography and machine vision applications.
- Embedded processing architectures within image sensors, enabling local event detection and reduced data throughput for complex visual environments.
Location and Network
- Based in Santa Clara, California (OmniVision’s key office).
- Holds a significant professional network, with over 500 connections on LinkedIn (distinct from unrelated individuals sharing the same name in other companies).
This profile details Andreas Suess as an accomplished engineering leader and researcher at OmniVision Technologies, specializing in pioneering image sensor development, particularly in hybrid event-based vision systems and CMOS sensor optimization. His extensive publication and patent portfolio, combined with his active role in technical conferences and standards committees, position him as a leading figure in advanced semiconductor sensor technologies. His expertise suggests a strategic focus on cutting-edge sensor performance improvements addressing emerging demands in machine vision, consumer electronics, and industrial imaging markets.
