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Lale Akarun
Born (1962-03-10) 10 March 1962 (age 63)
Ankara, Turkey
Alma mater Boğaziçi University (BS, MS)
Polytechnic University (PhD)
Scientific career
Fields Gesture recognition, human–computer interaction, biometrics
Institutions Boğaziği University
Doctoral advisor Richard A. Haddad

Lale Akarun is a brilliant Turkish engineer and computer scientist. She was born on March 10, 1962. She studies how computers can understand human actions. This includes things like sign language, hand movements (called gesture recognition), and how people use computers (human-computer interaction). She also works with biometrics, which uses unique body features like fingerprints to identify people.

Lale Akarun is a professor at Boğaziçi University. She teaches in the computer engineering department. She also used to be a vice-rector at the university.

Early Life and Education

Lale Akarun was born in Ankara, Turkey. She loved learning about electricity and computers. She went to Boğaziçi University for her first two degrees. She earned a Bachelor of Science (B.S.) in electrical engineering in 1984. Then, she got her Master of Science (M.S.) in the same field in 1986.

She continued her studies in the United States. In 1992, she earned her Ph.D. (a very advanced degree) in electrical engineering. She got this degree from Polytechnic University. Her Ph.D. research was about a topic called Decimated Rank Order Filtering.

Career and Research

After finishing her Ph.D., Lale Akarun returned to Turkey. She joined the faculty at Boğaziçi University in 1992. She started as an assistant professor. She worked hard and became a full professor in 2002. This means she became a top expert in her field.

From 2010 to 2012, she led the computer engineering department. Later, in 2012, she took on an even bigger role. She became a vice-rector of the university. This means she helped manage the whole university.

Professor Akarun's research focuses on exciting areas. She explores how computers can understand sign language. This helps people communicate better. She also works on gesture recognition. This is about computers understanding hand movements. Imagine controlling a computer with just your hands!

Another area she studies is human–computer interaction. This looks at how people and computers work together. She wants to make computers easier and more fun to use. Finally, her work in biometrics helps with security. It uses unique body features to identify people safely.

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