• Technical Conference & Virtual Exhibits:  31 October – 04 November 2021

Theme: Machine Learning

Theme Coordinators
Aydogan Ozcan, University of California, Los Angeles, USA
Lei Tian, Boston University, USA
Abbie Watnik, Naval Research Laboratory, USA

We welcome attendees to the Machine learning theme at the Frontiers in Optics (FiO) meeting. The Machine Learning theme provides an interdisciplinary platform to learn about and discuss a wide range of optics/photonics topics that machine learning has recently impacted on. The theme features 1 visionary speaker, 1 tutorial speaker, and 15 invited speakers spanning academia, industry and government institutions.

These exciting speakers will provide both historical retrospectives and state-of-the-art views on emerging machine learning techniques applied to optics/photonics applications. The topics include computational imaging, metaphotonics, optical computing, biophotonics and many more. Through these talks, attendees will learn about the newest machine learning technologies applied to optics and photonics and some of the emerging concepts in embedding optical physics into machine learning designs.
 

Tuesday, 2 November  
15:30 - 17:00

Imaging Related

David Brady, University of Arizona, USA
Achuta Kadambi, Akasha Imaging / University of California, Los Angeles, USA
Xin Yuan, Nokia Bell labs, USA

Wednesday, 3 November  
09:00 – 10:00

Tutorial Speaker: George Barbastathis, Massachusetts Institute of Technology, USA

Incorporating Physics Priors into Machine Learning for Inverse Problems

10:15 – 11:00

Visionary Speaker: Jiangying Zhou, Defense Advanced Research Projects Agency, USA

Re-thinking Sensing in the Age of AI

15:30 – 17:00

Computing Related

Shanhui Fan, Stanford University, USA
Adrian Stern, Ben-Gurion University of the Negev, Israel
Marin Soljačić, Massachusetts Institute of Technology, USA

17:30 - 19:00

Applications

Peyman Milanfar, Google Research, USA
Katie Bouman, California Institute of Technology, USA
Alexandra Boltasseva, Purdue University, USA

Thursday, 4 November

 
10:30 - 12:00

Imaging Related

Gordon Wetzstein, Stanford University, USA
Yair Rivenson, Pictor Labs, USA
Luat Vuong, University of California, Riverside, USA

15:00 - 17:00

Microscopy Related

Sixian You, Massachusetts Institute of Technology, USA
Laura Waller, University of California, Berkeley, USA
Giovanni Volpe, University of Gothenburg, Sweden