Jensen Huang Professor in Global Leadership
Professor of Electrical Engineering
Seminar: Scalable photonics: an optimized approach
Abstract: Classical and quantum photonics with superior properties can be implemented in a variety of old (silicon, silicon nitride) and new (silicon carbide, diamond) photonic materials by combining state of the art optimization and machine learning techniques (photonics inverse design) with new fabrication approaches. In addition to making photonics more robust to errors in fabrication and temperature, more compact, and more efficient, this approach is also crucial for enabling new photonics applications such as on chip laser driven particle accelerators and semiconductor quantum simulators.
About the speaker: Jelena Vuckovic is a Jensen Huang Professor in Global Leadership. professor of electrical engineering, and by courtesy professor of applied physics at Stanford, where she leads the Nanoscale and Quantum Photonics Lab. She is also a director of Stanford's Quantum Fundamentals, Architecture and Machines initiative and the Stanford-SLAC Quantum Science and Engineering Initiative. Upon receiving her Ph.D. from the California Institute of Technology in 2002, she worked as a postdoctoral scholar at Stanford. In 2003, she joined the Stanford Electrical Engineering faculty, first as an assistant professor (until 2008), then an associate professor (2008-2013), and finally as a professor of electrical engineering (since 2013). She has also held visiting positions at the Max Planck Institute for Quantum Optics in Munich, Germany, the Institute for Advanced Studies of the Technical University in Munich, and at the Institute for Physics of the Humboldt University in Berlin. Vuckovic is a Fellow of the American Physical Society, the Optical Society of America and IEEE. She serves as Associate Editor of ACS Photonics and sits on the editorial advisory board of Nature Quantum Information and APL Photonics.
Host: Xu Yi, assistant professor of ectrical and computer engineering