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State-of-the-Art Research in Computational Imaging and Machine Learning
Weekly seminar series featuring speakers from both academia and industry.
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Industry Partnerships Advancing Image Engineering and its Applications
Co-design of hardware and software for consumer photography, social media, healthcare and autonomous driving.
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Collaborative Relationships and Recruitment
SCIEN Affiliates meet faculty, postdocs and graduate students at events that highlight research on imaging systems and applications.
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New Emerging Markets for Imaging Technologies
Workshops that bring together scientists, engineers, developers and users to explore novel applications for imaging technologies
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Professional Career Development
Graduate curriculum, online learning and engineering certificate programs that teach fundamentals of image capture, computer vision, computer graphics, machine learning and human vision.
Upcoming Events
Dr. Sam Kavusi (Verily):”Addressing the long tail of Diabetic Retinopathy screening with on-device intelligence”
May 15 @ 4:30 pmProfessor Hany Farid (Univ of California at Berkeley):”Creating, (Mis)using, and Detecting Deepfakes”
May 22 @ 4:30 pmDr. Zhenyi Liu (Stanford): “Physically Accurate Image Systems Simulation: High Dynamic Range Nighttime Scenes “
May 29 @ 4:30 pm
Our Mission
The Stanford Center for Image Systems Engineering (SCIEN) is a partnership between the Stanford School of Engineering and technology companies advancing imaging systems for applications in consumer photography, AR/VR, healthcare and autonomous driving. The mission of SCIEN is to support multidisciplinary training, research and collaboration on technologies leading to novel imaging systems that include the capture, processing, transmission and rendering of visual information.
