Professor Ayellet Tal focuses her work on computer graphics, computer vision, and machine learning. She develops methods that attempt to “understand” visual data – a task that humans perform naturally and extremely well, but is still challenging for computers. She addresses fundamental problems in vision and graphics, while providing powerful tools that can be used in a multitude of scenarios, not only in science, but also in everyday life.
She has also studied the applications of computer vision and graphics to archaeology. Her aim is to bring archaeology into the technology revolution by providing tools to search for corollaries, to draw artifacts automatically, and to bring worn-out artifacts “back to life” — to the condition
they were before being damaged after lying underground for thousands of years.
Prof. Tal received her bachelor’s and master’s degrees, both summa cum laude, from Tel Aviv University and her Ph.D. from the Department of Computer Science at Princeton University.
Prof. Tal is an associate editor at Elsevier’s “Computers & Graphics” journal and has won several awards including the Henry Taub Prize for Academic Excellence, the Google Research Award, and most recently, the 2020 – 2021 Morton and Beverley Rechler Prize for Excellence in Research for her pioneering work in the field of 3D shape analysis and developing technologies that change the way archaeologists analyze, document, and understand their findings.