Cesar Vaca Rodriguez

Cesar Vaca Rodriguez is a Professor in the Department of Computer Science at the University of Valladolid, specializing in Computer Architecture and Technology, Computer Science and Artificial Intelligence, and Computer Languages and Systems. His work spans multiple research domains including deep learning applications in finance and electronic materials characterization.

His research interests focus on applying artificial intelligence to financial text analysis, developing optimization models for healthcare systems, and investigating resistive random-access memory (ReRAM) technologies. Rodriguez leads the Electronic Materials and Devices Characterization Group (GCME), conducting research from cryogenic to high-temperature environments for memory applications.

Analysis of his publications reveals a dual research trajectory: financial AI applications (2022-2024) and electronic materials science (2015-2016). His recent work emphasizes interpretability of deep learning models for Spanish financial text analysis, while earlier research investigated Ni-HfO₂-Si capacitor properties for memory applications.

As Principal Investigator, Rodriguez directs multiple research initiatives including cost-effectiveness analysis for the Connected Supports for Personal Autonomy project (2024) and the Serious Game Development project supporting programming education (2023). His grant portfolio includes projects funded by the Ministry of Economy and Competitiveness and collaborations with regional entities like ATAM.

Rodriguez participates in the Electronic Materials and Devices Characterization Group (GCME), working on advanced memory technologies and contributing to teaching innovation through serious game development for programming education.