Working with

My research is focused on using Evolutionary Computation (EC) methods to design and optimize Deep Learning (DL) models. I've developed feature selection, instance selection, and hyper-parameter tuning algorithms to improve the performance of DL models. Additionally, I have explored optimizing other design decisions of DL algorithms, like loss and activation functions. In my most recent work, I have used an EC algorithm to uncover insights about complex interactions between design choices for DL models in computer vision. I have published my research results in top journals (Expert Systems With Applications, Information Sciences), conferences (GECCO, IEEE CEC, IEEE DSAA) within the field of AI and received a number of recognitions (2nd place in the ESREL 2020 conference AI competition) and awards (Global Swede 2017) for my research excellence.