Age, Biography and Wiki

Alice Agogino was born on 1 December, 1952 in Albuquerque, NM, is an American mechanical engineer. Discover Alice Agogino's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is She in this year and how She spends money? Also learn how She earned most of networth at the age of 71 years old?

Popular As N/A
Occupation N/A
Age 71 years old
Zodiac Sign Sagittarius
Born 1 December, 1952
Birthday 1 December
Birthplace Albuquerque, New Mexico
Nationality United States

We recommend you to check the complete list of Famous People born on 1 December. She is a member of famous Engineer with the age 71 years old group.

Alice Agogino Height, Weight & Measurements

At 71 years old, Alice Agogino height not available right now. We will update Alice Agogino's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
Body Measurements Not Available
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Dating & Relationship status

She is currently single. She is not dating anyone. We don't have much information about She's past relationship and any previous engaged. According to our Database, She has no children.

Family
Parents Not Available
Husband Not Available
Sibling Not Available
Children Not Available

Alice Agogino Net Worth

Her net worth has been growing significantly in 2022-2023. So, how much is Alice Agogino worth at the age of 71 years old? Alice Agogino’s income source is mostly from being a successful Engineer. She is from United States. We have estimated Alice Agogino's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
House Not Available
Cars Not Available
Source of Income Engineer

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Timeline

1997

Agogino is a fellow of several scientific societies, including the National Academy of Engineering (1997), the American Association for the Advancement of Science, the European Academy of Science, the Association of Women in Science, and the American Society of Mechanical Engineers. She is a member of the Society of Women Engineers and the Institute of Electrical and Electronics Engineers.

1995

From 1995–1999 she was the associate dean of Berkeley's College of Engineering, and from 1999–2001 she was the director of its Instructional Technology Program. She has been funded by the National Science Foundation to work with Synthesis, a program that encourages engineering education at the undergraduate level. She has served on professional committees for the National Science Foundation, the National Research Council, and the National Academy of Engineering. Her current research is focused on sustainable technology.

1975

Agogino attended the University of New Mexico for her undergraduate education, and earned her bachelor's degree in mechanical engineering in 1975. She earned her master's degree three years later from the University of California, Berkeley. Her doctoral work concerned engineering and economic systems and was conducted at Stanford University. She earned her Ph.D there in 1984.

1972

Agogino began her career while still an undergraduate with a stint as a project engineer for Dow Chemical from 1972–1973. While working on her master's degree and during the first year of her doctoral studies, she was a mechanical engineer and systems specialist at General Electric. She founded her own company in 1979, Agogino Engineering, which still exists. In 1980, Agogino spent a year as a systems analyst for SRI. From 1980–1981 she led the Santa Clara University's Women in Engineering program. Agogino was made an assistant professor in mechanical engineering at the University of California, Berkeley in 1984; she is now the university's Roscoe and Elizabeth Hughes Professor of Mechanical Engineering.

1952

Alice Merner Agogino (born 1952) is an American mechanical engineer known for her work in bringing women and people of color into engineering and her research into artificial intelligence, computer-aided design, intelligent learning systems, and wireless sensor networks.