Carlos Quesada Granja

Carlos Quesada Granja is an Assistant Professor at the University of Deusto since 2023 and a researcher at DeustoTech since 2020. He holds a Telecommunications Engineering degree from Miguel Hernández University of Elche and a PhD in Mechanical Engineering from the University of Zaragoza. His research focuses on Data Science and Artificial Intelligence, with applications in real-time surgical simulators, microcapsule deformation prediction, and household electricity consumption analysis.

Education:

• Bachelor's in Telecommunications Engineering, Miguel Hernández University of Elche
• PhD in Mechanical Engineering, University of Zaragoza

Research Interests:

Carlos specializes in interdisciplinary projects combining engineering and data-driven methodologies. His work bridges mechanical engineering principles with AI to solve real-world challenges in healthcare and energy sectors. Key areas include:

• Real-time surgical simulation design
• Microcapsule deformation analysis using predictive modeling
• Smart grid applications through electricity consumption pattern analysis

Office Hours:

• Every Tuesday: 16:00-17:30 (Room A)
• Every Wednesday: 16:00-17:00 (Room A)