Ccesa Quincho, Mercedes
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Master's degree in Computing and Intelligent Systems from the University of Deusto (2024), a Master's degree in Management and Organization of Information and Communication Systems from the Polytechnic University of Madrid (2015), and a Bachelor's degree in Computer Engineering from the National University of San Cristóbal de Huamanga (Ayacucho, Peru) (2011).
Throughout her professional career, she has participated in projects in the financial and municipal management sectors. She was a contracted lecturer (2017–2023) at the National University of San Cristóbal de Huamanga, teaching in the Systems Engineering program. Her interest in applied artificial intelligence research has led her to contribute to projects in the healthcare sector (2021, Peru), process optimisation, and smart mobility (2023–2025, Spain). She worked as a research assistant (2024-2025) within the Smart Mobility group at the Deusto Institute of Technology (DeustoTech), participating in European projects such as SENATOR, CONDUCTOR, and SYNCHROMODE. Her work focuses on applying machine learning techniques to optimise logistics routes, considering multiple mobility constraints and high-demand scenarios.
She is passionate about image processing, machine learning, and deep learning, particularly in their applications to real-world problems. She is currently a member of the Deusto Smart Mobility group and is pursuing a PhD in Engineering for the Information Society and Sustainable Development.