Darinka Dentcheva
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Darinka Dentcheva | |
|---|---|
 | |
| Citizenship | United States |
| Alma mater | Humboldt University, Berlin, Germany |
| Known for | Stochastic programming, Risk-Averse Optimization |
| Scientific career | |
| Fields | Mathematical optimization |
| Doctoral advisor | Jürgen Guddat |
Darinka Dentcheva (Bulgarian: Даринка Денчева) is a Bulgarian-American mathematician, noted for her contributions to convex analysis, stochastic programming, and risk-averse optimization.
Dentcheva was born in Bulgaria. She received her MsC and PhD degrees in mathematics from Humboldt University of Berlin (Germany) in 1981 and 1989, respectively. In 2006 she was granted Habilitation from Humboldt University of Berlin, for a dissertation on set-valued analysis.[1]
From 1982 to 1994 Dentcheva was with the Institute of Mathematics, Bulgarian Academy of Sciences, in Sofia (Bulgaria). In 1997–1999 she was a visitor at the Rutgers Center for Operations Research of Rutgers University. In 1999–2000 she was a visiting professor at the Department of Industrial and Manufacturing Systems Engineering, Lehigh University. Since 2000 Dentcheva has been with Stevens Institute of Technology, where she holds a position of Professor at the Department of Mathematical Sciences. In 2023-2024 she was the Chair of the Faculty Senate.[2]
