Speaker: Dr. Bismark Singh (The University of Texas at Austin University, USA)
When: December, 20 at 11 a.m. – 12.30 p.m
Where: MR-402 (TPOC-3)
Abstract. We will discuss a special class of stochastic optimization models called chance-constrained programs. We will study what makes chance-constrained programs hard, and an algorithm we developed in my dissertation. We will conclude with some practical applications.
Bio. Bismark Singh is a PhD graduate in operations research from The University of Texas at Austin. His dissertation focuses on deterministic and stochastic optimization methodologies applied towards public health and renewable energy.