Ulises Orozco-Rosas is an associate professor at the School of Engineering at CETYS Universidad and a member of the National System of Researchers from SECIHTI-SNII, Mexico. His research involves designing algorithms and developing software for path planning using deep reinforcement learning. Ulises' interests include artificial intelligence, quantum computing, parallel computing, autonomous vehicles, and mobile robots. He has published over sixty papers in peer-reviewed journals, books, and conference proceedings.