Jesus Lopez Ballester

Jesus Lopez Ballester is a faculty member at the Universitat de València, affiliated with the School of Engineering and the Department of Electronic Engineering. He is an active researcher in the fields of IoT, edge computing, and acoustic signal processing, contributing to both academic and applied research in smart environments and sustainable monitoring systems.

His research interests lie at the intersection of artificial intelligence and physical sensing systems, with a strong emphasis on real-time, low-cost, and energy-efficient solutions. Key areas include sound event detection for driving safety, psychoacoustic annoyance modeling, urban soundscape monitoring, HRTF analysis, and room acoustic parameter estimation. His work integrates deep learning with embedded systems, particularly leveraging edge computing and IoT platforms to enable intelligent, distributed acoustic sensing in urban and industrial contexts.

The recent publications reveal a consistent trend toward deploying AI models on resource-constrained devices for environmental and safety applications. His work frequently combines sensor networks with neural networks to achieve real-time, on-device inference, supporting applications in smart cities, transportation safety, and industrial monitoring. There is a strong focus on sustainability, cost-effectiveness, and practical deployment over theoretical exploration.

He is actively involved in two research groups: the DSDC Communications and Digital Systems Design Group and the LSyM Simulation and Modeling Laboratory, where he contributes to projects involving wireless sensor networks, acoustic modeling, and IoT system design. While no formal students are listed, his role in supervising thesis work and leading technical developments indicates mentoring and advisory responsibilities. His research is supported by institutional affiliations and collaborative projects, though specific grants are not detailed in the provided text.