Raul Fernandez Rojas received the Ph.D. degree in computer science and engineering from the University of Canberra, Canberra, ACT, Australia, in 2018, with a focus on biomarker identification using computational methods. His current research interests include machine learning, human–robot teaming, and modeling cognitive states using neuroimaging methods, such as fNIRS and EEG.