News & Events

Headlines

Katie Bouman Receives the 2021 Royal Photographic Society Progress Medal

10-26-21

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar; Investigator, Heritage Medical Research Institute has been selected as the 2021 Progress Medal recipient by the Royal Photographic Society. Bouman is being recognized for her work developing solutions to image such phenomenon as the first image of a black hole. Her research focuses on computational imaging and designing systems that integrate algorithms and sensor design, making it possible to observe phenomena previously difficult to capture or impossible to measure with traditional methods. [View announcement] [Past recipients]

Tags: EE honors CMS Katie Bouman

Astronomers Image Magnetic Fields at the Edge of M87's Black Hole

03-24-21

The Event Horizon Telescope (EHT) collaboration, which produced the first-ever image of a black hole, revealed a new view of the massive object at the center of the M87 galaxy: a picture of its polarized light. This is the first time astronomers have been able to measure polarization, a signature of magnetic fields, this close to the edge of a black hole. "We are now able to see a different dimension of the light circling the M87 black hole," says Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy, Rosenberg Scholar, and co-coordinator of the EHT Imaging Working Group. "The image we reconstructed earlier showed us how bright the light was around the black hole shadow. This image is telling us about the direction of that light." [Caltech story]

Tags: EE research highlights CMS Katie Bouman

Professor Bouman Featured in Inverse Magazine

03-10-21

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar, was featured in Inverse Magazine as one of the astronomers who captured the first image of a black hole. In 2019, Bouman and a group of more than 200 astronomers from all over the world managed the inconceivable: They captured the first image of a black hole, rendering the invisible visible. "Ideally, to see a black hole, we would need a telescope the size of the entire Earth," says Bouman. "We had to come up with a computational telescope that size." [Inverse article]

Tags: EE research highlights CMS Katie Bouman

Professor Bouman Receives GSC Teaching Award

11-18-20

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar, has been chosen to receive a Graduate Student Council (GSC) Teaching Award for outstanding instruction of the inaugural course on Computational Photography.

Tags: EE honors CMS Katie Bouman

Katie Bouman Receives Okawa Research Grant

06-26-20

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering; Rosenberg Scholar, is a recipient of a 2020 Okawa Foundation Research Grant for her work on "AI Meets Real-World Science: Optimal Sensing for Next-Generation Imaging." This is a prize awarded to faculty involved in the fields of computer science, information systems and/or telecommunications, and other scientific fields inspired by these approaches. [Past Recipients]

Tags: EE honors CMS Katie Bouman

Myra Cheng Receives Goldwater Scholarship

06-12-20

Myra Cheng, an undergraduate student in computing and mathematical sciences, has been selected to receive a Goldwater Scholarship. The Barry Goldwater Scholarship and Excellence in Education Program awards scholarships to college sophomores or juniors who intend to pursue research careers in science, mathematics, and engineering. Myra works with Yisong Yue, Professor of Computing and Mathematical Sciences, and Joel Burdick, Richard L. and Dorothy M. Hayman Professor of Mechanical Engineering and Bioengineering; Jet Propulsion Laboratory Research Scientist, on optimization algorithms that can learn individual preferences based on real-time interaction with people. These algorithms can be used in wearable exoskeletons that help mobility-impaired individuals walk. "I'm interested in how machine learning interacts with humans and, more broadly, human society," she says. Cheng has also been working with Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, Electrical Engineering and Astronomy; Rosenberg Scholar, and Claire Ralph, Lecturer in Computing and Mathematical Sciences; Director, Career Development Center, on developing algorithms that address questions of explainability and algorithms that affect social change. [Caltech story]

Tags: honors MedE CMS Joel Burdick Yisong Yue CNS Claire Ralph Katie Bouman Myra Cheng Goldwater Scholarship

Katie Bouman Named Recipient of the 2020 Breakthrough Prize for Fundamental Physics

09-09-19

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Rosenberg Scholar, has been named a recipient of the 2020 Breakthrough Prize for Fundamental Physics as part of the Event Horizon Telescope (EHT) team that generated the first-ever image of a black hole. [Caltech story] [Breakthrough Prize Announcement]

Tags: honors CMS Katie Bouman Breakthrough Prize

Seeing Farther and Deeper

07-02-19

Katie Bouman, Assistant Professor of Computing and Mathematical Sciences, creates images from nonideal sensor data and mines for information from images using techniques that can be applied to everything from medical imaging to studying the universe. She likes to search for information hidden in images, imperceptible to humans, that she can use to learn about the environment around us. [Profile of new EAS faculty member Professor Bouman]

Tags: research highlights CMS Katie Bouman

Katie Bouman Joins EAS and CMS

04-11-19

Congratulations to the entire Event Horizon Telescope team, and especially to Dr. Katie Bouman who is joining the Engineering and Applied Science (EAS) Division in June as assistant professor of computing and mathematical sciences (CMS). Currently, Caltech and CO Architects are working with her to design and construct a unique laboratory that will facilitate her work in computational imaging. The laboratory is the first of its kind and is designed for her to conduct experimental work in conjunction with her computational approaches – making it possible, for instance, to observe phenomena previously difficult or impossible to measure. The black hole imaging is one spectacular example of how Professor Bouman’s algorithms are advancing our knowledge of the world; she has also developed algorithms that let us “see around corners” and detect material properties (such as stiffness and dampness) via imaging. In her work, Bouman has also developed methods to combine information from both imaging as well as acoustic systems to analyze sub-pixel scale vibrations of otherwise seemingly still objects. As a result, relatively inexpensive cameras, combined with powerful algorithms, are an increasingly attractive alternative to complex and expensive laser-based systems to sense “invisible” attributes of a material. [Caltech story - How to Take a Picture of a Black Hole]

Tags: research highlights CMS Katie Bouman