Alp Dener received his B.S. in mechanical engineering from the University of Maryland, Baltimore County in 2012 and his Ph.D. in aeronautical engineering from Rensselaer Polytechnic Institute in 2017. For his doctoral research, he developed a matrix-free multidisciplinary design optimization algorithm tailored for large-scale engineering problems, demonstrated its efficacy on test problems drawn from the aerospace industry.
Alp’s work at Argonne builds on his past efforts by developing and implementing gradient-based PDE-constrained optimization algorithms in TAO (Toolkit for Advanced Optimization), with particular emphasis on the efficient treatment of nonlinear state-based constraints.
- PDE-constrained optimization
- Multidisciplinary Design Optimization
- Optimization problems in the aerospace industry
- Scientific software design/development
- Promoting software reuse