I am working as a postdoctoral research fellow in Trustworthy Artificial Intelligence Lab at Ontario Tech University. I am interested in developing computational self-awareness to enable reflective artificial intelligence, targeting increased trustworthiness of AI systems.
I did my PhD at School of Computer Science, University of Birmingham, UK. My doctoral research focuses on understanding the performance of evolutionary and voting recombination mechanisms in solving combinatorial optimization problems when large levels of noise are present in the optimization process. Several noise models existing in optimization and learning scenarios have been investigated. Our newly introduced voting algorithm provides state-of-the-art performance in solving a combinatorial benchmark in presence of noise.
I worked at Department of Electrical and Computer Engineering, McMaster University, Canada for a research collaboration during my PhD, funded by Birmingham Global U21 PhD scholarship during summer 2020. The research focused on efficient path planning of Unmanned Aerial Vehicles in presence of occlusions resulting from weather factors, with multi-objective evolutionary algorithms.