Hanan’s project is titled “Dynamic Constrained Multi-Objective Optimization Using Evolutionary Algorithms”. Many real-world optimization problems have multiple objectives, constraints, and are dynamic by nature. In this research, we aim to develop an understanding of what makes evolutionary algorithms perform differently when solving dynamic constrained multi-objective optimization problems, and design landscape-aware algorithms. Hanan is supervised by by OPTIMA CI Professor Michael Kirley.