data mining

Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2022-10-04

Mikhail Moshkov, Professor, Applied Mathematics and Computational Science

Oct 4, 12:00 - 13:00

B9 L2 R2322

Dynamic programming combinatorial optimization data mining

Dynamic programming is an efficient technique to solve optimization problems. It is based on decomposing the initial problem into simpler ones and solving these sub-problems beginning from the simplest ones. A conventional dynamic programming algorithm returns an optimal object from a given set of objects.

Di Wang

Assistant Professor, Computer Science

machine learning data mining privacy security

Professor Wang's research addresses issues and societal concerns arising from machine learning, particularly in the areas of privacy, security, safety, fairness, robustness, interpretability and transparency. He aims to develop provable and practical algorithms to address trustworthiness issues in machine learning.