Erick Moreno-Centeno

Dr. Erick Moreno-Centeno’s research interests are on the theory and applications of discrete optimization with an emphasis on network optimization. Specifically, his focus is to design and analyze optimization models and algorithms that are computationally viable for real-world applications. He achieves this by combining effective modeling with efficient computational techniques. His current research projects include designing a round-off-error-free and fast-in-practice linear programming algorithm and solving problems in energy (topology control), decision theory (voting) and machine learning.