Los Angeles, CA — Researchers at the University of California, Los Angeles (UCLA) have achieved a significant milestone in optical imaging technology. A new all-optical complex field imager has been...
Shijie Zhou, a PhD student advised by Prof. Achuta Kadambi at UCLA Henry Samueli School of Engineering, has received the Highlight Paper award for the paper titled “Feature 3DGS: Supercharging...
Every year, the UCLA Samueli School of Engineering selects and recognizes outstanding achievements by a number of its alumni, faculty members and students who have excelled in various fields. Below...
The highly selective and high-impact journal Advanced Photonics has selected the Editor-in-Chief Choice Awards for the best papers published in the journal in 2023.
Sergio Carbajo, an assistant professor of electrical and computer engineering at the UCLA Samueli School of Engineering, recently collaborated with the U.S. Department of Energy’s Office of Science on a...
Nonlinear optical processing of ambient natural light is highly desired for computational imaging and sensing. A team led by Xiangfeng Duan and Aydogan Ozcan at the University of California, Los...
Nader Sehatbakhsh, an assistant professor of electrical and computer engineering at the UCLA Samueli School of Engineering, has received a National Science Foundation (NSF) CAREER award, the agency?s highest honor...
Autopsy has a central role in shedding light on diseases, helping to uncover the cause of death. Tissue samples from various organs are sampled, stained, and examined under a light...
Civil and environmental engineering professor Jonathan Stewart and adjunct professor Dariush Divsalar of electrical and computer engineering at the UCLA Samueli School of Engineering have been elected to the National...
While image denoising algorithms have undergone extensive research and advancements in the past decades, classical denoising techniques often necessitate numerous iterations for their inference, making them less suitable for real-time...
Los Angeles, CA — Researchers at the University of California, Los Angeles (UCLA) have achieved a significant milestone in optical imaging technology. A new all-optical complex field imager has been...
Shijie Zhou, a PhD student advised by Prof. Achuta Kadambi at UCLA Henry Samueli School of Engineering, has received the Highlight Paper award for the paper titled “Feature 3DGS: Supercharging...
Powered by deep-learning algorithms, artificial intelligence systems could replace agents such as chemicals currently used to augment medical scans.
Every year, the UCLA Samueli School of Engineering selects and recognizes outstanding achievements by a number of its alumni, faculty members and students who have excelled in various fields. Below...
UCLA-developed experimental device quickly processes ambient light, demonstrates ability to reduce glare in images
The highly selective and high-impact journal Advanced Photonics has selected the Editor-in-Chief Choice Awards for the best papers published in the journal in 2023.
Sergio Carbajo, an assistant professor of electrical and computer engineering at the UCLA Samueli School of Engineering, recently collaborated with the U.S. Department of Energy’s Office of Science on a...
Nonlinear optical processing of ambient natural light is highly desired for computational imaging and sensing. A team led by Xiangfeng Duan and Aydogan Ozcan at the University of California, Los...
Nader Sehatbakhsh, an assistant professor of electrical and computer engineering at the UCLA Samueli School of Engineering, has received a National Science Foundation (NSF) CAREER award, the agency?s highest honor...
Autopsy has a central role in shedding light on diseases, helping to uncover the cause of death. Tissue samples from various organs are sampled, stained, and examined under a light...
Civil and environmental engineering professor Jonathan Stewart and adjunct professor Dariush Divsalar of electrical and computer engineering at the UCLA Samueli School of Engineering have been elected to the National...
While image denoising algorithms have undergone extensive research and advancements in the past decades, classical denoising techniques often necessitate numerous iterations for their inference, making them less suitable for real-time...