Polarization describes the orientation of oscillations in a light wave, and it plays an essential role in various optical applications – from enhancing visibility in sunglasses and camera lenses to...
Information processing with light is a topic of ever-increasing interest among optics and photonics researchers. Apart from the quest for an energy-efficient and fast alternative to electronic computing for future...
Triple Bruin engineer Fang Lu M.S. ’88, Engr. ’89, Ph.D. ’92 has been a generous supporter of the UCLA Samueli School of Engineering over the past 15 years. His latest...
Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data.
Figure. The course presenters at ACM SIGGRAPH 2023 from left to right: Kadambi (UCLA), Ye (GMU), Dave (Rice University), Baek (POSTECH), and Chen (Vayu Robotics) Prof. Achuta Kadambi from the...
Xiaofan Cui has been appointed as an electrical and computer engineering assistant professor at the UCLA Samueli School of Engineering, effective November 1.
For decades, imaging weakly scattering phase objects, such as cells, has been an active area of research across various fields, including biomedical sciences. One common approach uses chemical stains or...
In a new paper published in Nature Biomedical Engineering, a team of scientists led by Professor Aydogan Ozcan from the Electrical and Computer Engineering Department at UCLA and an associate...
A distinguished adjunct professor at the UCLA Samueli School of Engineering and a prominent innovator and scientist, Asad Madni has been widely recognized by many of the world’s most prestigious...
Researchers from UCLA and the United States Army Research Laboratory have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques.
Polarization describes the orientation of oscillations in a light wave, and it plays an essential role in various optical applications – from enhancing visibility in sunglasses and camera lenses to...
Information processing with light is a topic of ever-increasing interest among optics and photonics researchers. Apart from the quest for an energy-efficient and fast alternative to electronic computing for future...
Triple Bruin engineer Fang Lu M.S. ’88, Engr. ’89, Ph.D. ’92 has been a generous supporter of the UCLA Samueli School of Engineering over the past 15 years. His latest...
Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data.
Figure. The course presenters at ACM SIGGRAPH 2023 from left to right: Kadambi (UCLA), Ye (GMU), Dave (Rice University), Baek (POSTECH), and Chen (Vayu Robotics) Prof. Achuta Kadambi from the...
Xiaofan Cui has been appointed as an electrical and computer engineering assistant professor at the UCLA Samueli School of Engineering, effective November 1.
For decades, imaging weakly scattering phase objects, such as cells, has been an active area of research across various fields, including biomedical sciences. One common approach uses chemical stains or...
Advance may lead to improved performance in autonomous vehicles and satellite operations
The UCLA Samueli School of Engineering has appointed Ian Roberts as an assistant professor of electrical and computer engineering, effective July 1.
In a new paper published in Nature Biomedical Engineering, a team of scientists led by Professor Aydogan Ozcan from the Electrical and Computer Engineering Department at UCLA and an associate...
A distinguished adjunct professor at the UCLA Samueli School of Engineering and a prominent innovator and scientist, Asad Madni has been widely recognized by many of the world’s most prestigious...
Researchers from UCLA and the United States Army Research Laboratory have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques.