State-of-the-Art Research in Computational Imaging and Machine Learning
Weekly seminar series featuring speakers from both academia and industry.
Industry Partnerships Advancing Image Engineering and its Applications
Co-design of hardware and software for consumer photography, social media, healthcare and autonomous driving.
Collaborative Relationships and Recruitment
SCIEN Affiliates meet faculty, postdocs and graduate students at events that highlight research on imaging systems and applications.
New Emerging Markets for Imaging Technologies
Workshops that bring together scientists, engineers, developers and users to explore novel applications for imaging technologies
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.
Dr. Ulugbek Kamilov ( Washington University in St. Louis): “Computational Imaging: Reconciling Models and Learning”
February 3 @ 4:30 pm - 5:30 pm
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.