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Ronitt Rubinfeld facts for kids

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Ronitt Rubinfeld
Born 1964
Alma mater Ph.D., University of California, Berkeley, 1990
University of Michigan, B.S.E.
Awards ACM Fellow (2014)
Scientific career
Fields Computer science
Institutions
Doctoral advisor Manuel Blum
Doctoral students Funda Ergun

Ronitt Rubinfeld, born in 1964, is a brilliant professor. She teaches electrical engineering and computer science. She works at the famous MIT in the USA. She also teaches at Tel Aviv University in Israel. At MIT, she leads a special group. This group studies the "Theory of Computation." It's like understanding how computers think and solve problems.

Her Journey in Education

Ronitt Rubinfeld was born in Ohio in 1964. She grew up in Ann Arbor, Michigan. As a child, she went to Huron High School. After high school, she studied at the University of Michigan. She earned a degree in Electrical and Computer Engineering in 1985.

Later, she went to the University of California, Berkeley. She earned her PhD in 1990. Her main teacher there was Manuel Blum. After her PhD, she did more research. She worked at Princeton University and then at the Hebrew University of Jerusalem.

Her Career in Computer Science

In 1992, Professor Rubinfeld started teaching. She joined the computer science team at Cornell University in New York. She became an associate professor there. In 2004, she moved to the MIT. She became a full professor in electrical engineering and computer science.

In 2008, she also became a full professor. This was at Tel Aviv University in Israel. She has taught and researched at these top universities.

What She Studies

Professor Rubinfeld studies how computers work. She looks at the "limits of what computers can do." This is called computational complexity theory. She also creates "randomized algorithms." These are smart ways for computers to solve problems quickly.

One of her big ideas is called "property testing." Imagine you have a huge amount of data. Property testing helps you quickly check if the data has a certain feature. You don't need to look at all of it! This is useful for finding patterns in data. It helps with things like machine learning and computer vision. It also helps keep computer networks safe.

She also works on "sublinear algorithms." These algorithms are super-fast. They can get good results without checking every single piece of information. This is very helpful when you have tons of data. It saves a lot of time and computer power.

Professor Rubinfeld has written over 120 research papers. Her work has been used by thousands of other scientists. One famous idea she helped create is a way to test if a function is "linear." She worked on this with Manuel Blum and Michael Luby in 1993. It lets you check if a function is almost straight. You only need to look at a few examples.

She also worked in research labs at companies. She was a visiting researcher at IBM. She was also a senior researcher at NEC laboratories.

Awards and Special Recognitions

Professor Rubinfeld has received many honors for her work:

  • She gave a special talk at the International Congress of Mathematicians in 2006. This is a big event for mathematicians.
  • She became a fellow of the Association for Computing Machinery in 2014. This honor was for her important work. It recognized her ideas on how computers can do tasks. It also recognized her fast algorithms and property testing.
  • She was chosen as a fellow of the American Academy of Arts and Sciences in 2020.
  • In 2022, she became a member of the National Academy of Sciences.
  • She was also named a Guggenheim Fellow in 2023.
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