Biography

Dr. David G. Stork is Rambus Fellow at Rambus Labs, Sunnyvale CA, where he created and leads research in its Computational Sensing and Imaging Group. A graduate of MIT and the University of Maryland, he’s held faculty positions in Physics, Mathematics, Electrical Engineering, Computer Science, Statistics, Neuroscience, Psychology and Art and Art History, variously at Wellesley and Swarthmore Colleges and Clark, Boston and Stanford Universities. He is a Fellow of the Optical Society of America (OSA), Society for Photographic Instrumentation and Engineering (SPIE), International Association for Pattern Recognition (IAPR) and International Academy, Research, and Industry Association (IARIA). He and his colleagues have developed commercially successful and novel award-winning imaging systems. He has published eight books/proceedings volumes, including Pattern Classification (2nd ed.), translated into three languages and used in computer vision courses worldwide.

Image Sensors Everywhere

The number and variety of electronic imaging devices continues to explode, with nearly two billion camera-enabled smart phones sold annually alone. Smart (traditional) automobiles will have nearly two dozen image sensors aboard and driverless automobiles many more. Appliances and peripheral devices in the Internet of Things (IoT) will carry special-purpose imaging and image sensors. Building and environment monitoring and surveillance cameras continue to proliferate, as do cameras serving industrial automation and medical monitoring. Moreover, there have been recent game-changing technical developments, for instance in deep-learning-based image understanding, new sensing architectures and functionalities provided by computational imaging and artificial intelligence. Where are these trends and developments leading? What are the key disruptors in commercial sensing and imaging? How might these affect your industry? This talk will help you understand these immense trends and developments and better guide your industry through the massive changes in imaging technology looming ahead.