AI for Optics and Optics for AI
This talk will highlight recent work on the interconnection between AI techniques and (imaging) optics.
Overview
In particular, this talk details AI methods for learning optical designs of camera optics, including some the boost the capabilities of conventional cameras with a form-factor suitable for mobile devices and small field-deployable sensors. Furthermore, it explores ongoing research work on the reverse direction — optical designs that facilitate the computation for AI models while promising to reduce power consumption.
Presenters
Brief Biography
Wolfgang Heidrich is a professor of Computer Science and Electrical and Computer Engineering at KAUST. He is a member of the KAUST Visual Computing Center and served as its director for eight years, from 2014 to 2021. Heidrich is a pioneer in computational imaging and display, which seeks to advance imaging and display systems by co-designing optics, electronics, and algorithms.
Heidrich received his Diploma in Computer Science from the University of Erlangen-Nuremberg (FAU), Germany, in 1995, followed by an M.Math from the University of Waterloo, Canada, in 1996. He also earned a Ph.D. in 1999 from FAU.
In 2014, Heidrich was honored with a Humboldt Research Award in recognition of his contributions to computational imaging. He is also a Fellow of the IEEE and Eurographics, acknowledging his significant impact on the field.
