Fierro-Radilla, Atoany Nazareth

Dr. Atoany Nazareth Fierro Radilla is an AI and Robotics researcher and full-time professor specializing in Computer Vision, Autonomous Systems, and Deep Learning, with over ten years of experience in academia, applied research, and industry collaboration. He earned his B.Eng. in Communications and Electronics (2012), M.Sc. in Microelectronics Engineering (2015), and Ph.D. in Communications and Electronics (2019) from the National Polytechnic Institute (IPN), Mexico. He began his professional career at Huawei Technologies, where he worked as a radio communications engineer and later as a GSM (2G) customer support engineer for Latin America, contributing to large-scale telecommunications projects. In 2015, he completed an international research stay at the University of Electro-Communications (UEC) in Tokyo, Japan, where he strengthened his expertise in deep learning and computer vision. Dr. Fierro has a strong specialization in autonomous robotics systems based on ROS (Robot Operating System) and ROS 2. His work focuses on the design and implementation of modular robotic architectures for perception, control, and decision-making in dynamic environments. He has developed intelligent robotic systems that integrate computer vision and deep learning models for real-time navigation, object recognition, and task execution, contributing to advanced cyber-physical systems research . In 2021, he conducted postdoctoral research at Oxford Immune Algorithmics, with research activities in the United Kingdom and the United Arab Emirates, further advancing his work in applied artificial intelligence. That same year, he received the Best Paper Award at the International Conference on Intelligent Software Methodologies, Tools and Techniques, and in 2022 one of his papers was nominated for Best Paper at MICAI. Currently, he is a full-time Assistant Professor at Tecnológico de Monterrey, where he teaches undergraduate and graduate courses in Artificial Intelligence, Robotics, Machine Learning, and Computer Vision. He has led multiple academic and applied research projects involving end-to-end robotic pipelines (perception decision action), sensor integration, and intelligent control systems, with a strong emphasis on ROS-based development and real-world deployment. He is the author of more than a dozen scientific publications in artificial intelligence and computer vision, with applications in healthcare, including diabetic macular edema classification, white blood cell detection, and sign language recognition. His current research interests include Explainable AI (XAI), ROS-based autonomous robotics, computer vision, and deep learning for social impact. Dr. Fierro has been recognized as an AI Pioneer by Tecnológico de Monterrey and holds certifications in Artificial Intelligence from Huawei and in Explainable AI (XAI) from Duke University. He also serves as a reviewer for indexed journals such as IEEE Access and is an active member of the Academic Integrity Committee. Beyond academia, he is the founder of the Mixtli student group, has organized national AI and robotics hackathons, and has promoted interdisciplinary initiatives combining AI and autonomous systems. He also serves as Vice President of Megurokai, the alumni association of the University of Electro-Communications in Japan. His work is characterized by the integration of artificial intelligence and autonomous robotics through ROS, focusing on the development of robust, scalable, and real-world impactful solutions, as well as the formation of future engineers with a strong ethical, critical, and innovation-driven mindset.