Dr. Ceberio is a professor of Computer Science at the University of Texas at El Paso. She holds a PhD in Computer Science from the University of Nantes, France.
Her research work revolves around optimization and reliable decision-making under uncertainty. These interests led her, over the years, to explore interval computations, algorithms for global optimization under constraints, multi-criteria multi-user decision-making, and approaches to solving large dynamical systems with uncertainty, as well as their applications to areas such as network security, bio-medical engineering, mechanical, software engineering, and health.
Her passion lies in developing reliable tools to generate reliable information about otherwise uncertain situations, such as the unfolding of epidemics or other adversarial situations, and to reliably propose courses of actions to counter possible adversarial outcomes of unfolding events. She has been PI or co-PI of projects for a total of about $8M, from NSF and ARL.
Her other passion is in broadening the participation of women in Computer Science. She regularly organizes summer research internships to introduce high-school girls to computing in her lab. She founded the ACM-W student chapter at UTEP in 2012 and advised it until 2018. From 2011 to 2018, she coordinated the El Paso Annual NCWIT Aspirations in Computing competition and in 2018-2019, she started a Google-funded program aiming at introducing undergraduate women to research in computing. She was part of the 2018 Faculty in Residence cohort at Google and returned to Google in summer 2019 as a mentor of the 2019 cohort.