Ahmadreza Marandi achieved his Bachelor’s degree in Applied Mathematics at the University of Tehran in June 2012. In the same year, he got the admission to continue his studies as a graduate student and awarded his Master degree in Applied Mathematics at the same university after defending his thesis "Neural Networks Modeling for Solving Nonlinear Programming Problems" in June 2014. In August 2014, he started his Ph.D., which was partially funded by Marie Curie Initial Training Network MINO grant. Also during his Ph.D., he worked as an intern in ORTEC for six months. He got his Ph.D. degree in December 2017 by defending his thesis "Aspects of Quadratic Optimization: Nonconvexity, Uncertainty, and Applications". He is now conducting research on both theoretical and numerical optimization. His focus is on Quadratic optimization and its link to the Robust Optimization and also dealing with uncertainties in Supply Chain Management problems.
When are static and adjustable robust optimization problems with constraint-wise uncertainty equivalent?Mathematical Programming (2018)
A numerical evaluation of the bounded degree sum-of-squares hierarchy of Lasserre, Toh, and Yang on the pooling problemAnnals of Operations Research (2018)
Disjoint bilinear programming: a two-stage robust optimization perspectiveOptimization Online (2018)
Extending the scope of robust quadratic optimizationOptimization Online (2017)
Aspects of quadratic optimization(2017)
Current Educational Activities
No ancillary activities