Please join us for a Princeton NextG Faculty Spotlight Series Presentation feat: Professor Felix Heide.
Registration is required. After registering, you will receive a confirmation email containing information about the meeting.
Felix Heide is a professor of Computer Science at Princeton, where he leads the Princeton Computational Imaging Lab, and he is the Head of AI at Torc Robotics which builds full autonomy stacks for self-driving trucks. He previously founded the startup Algolux which was acquire by Torc and Daimler Trucks. His group at Princeton explores imaging and computer vision approaches that allow computers to see and understand what seems invisible today — enabling super-human capabilities for the cameras in our vehicles, personal devices, microscopes, telescopes, and the instrumentation they use for fundamental research in physics. This includes today’s capture and vision challenges, including harsh environmental conditions, e.g., imaging under ultra-low or high illumination or computer vision through dense fog, rain, and snow, imaging at ultra-fast or slow time scales, freezing light in motion, imaging at extreme scene scales, from super-resolution microscopy to kilometer-scale depth sensing, and imaging via proxies using nearby object surfaces as sensors instead. Researching vision systems end-to-end, his work lies at the intersection of optics, machine learning, optimization, computer graphics, and computer vision. He received his Ph.D. from the University of British Columbia, and was a postdoc at Stanford University. His doctoral dissertation won the Alain Fournier Ph.D. Dissertation Award and the SIGGRAPH outstanding doctoral dissertation award. He was recently named SIGGRAPH Significant New Researcher, Sloan Research Fellow and Packard Fellow.
This is a virtual event. Zoom link below.
Professor Heide will present his research, followed by a Q&A/discussion period.
The NextG Faculty Spotlight Series is hosted by Princeton NextG, an initiative of Princeton’s School of Engineering and Applied Sciences. The NextG Initiative at Princeton is creating the foundation for intelligent networks of the future across wireless, backbone networking, and cloud systems. The initiative focuses on cross-disciplinary approaches, bringing theory to practice, and covering the ‘full stack’ from the underlying technological fabric in integrated electronic and photonic circuits and systems, edge networks, IOT and cloud, to foundational theory, algorithms and AI approaches that make these networks scalable, efficient, secure, and accessible.