David Atienza Alonso

David Atienza Alonso is a Professor at the École Polytechnique Fédérale de Lausanne (EPFL), Department of Electrical Engineering (EE). His research focuses on embedded systems design, including Internet of Things (IoT) and edge computing, 2D/3D thermal modeling for multi-processor system-on-chip (MPSoc), electronic design automation (EDA), wireless body sensor networks (WBSN), memory optimizations, low-power hardware and software co-design, and software mapping for embedded machine learning. He leads the Embedded Systems Laboratory at EPFL and teaches courses on hardware-software co-design and embedded systems. His work includes publications in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Circuits and Systems, and other IEEE journals.

David Atienza is a Professor of Electrical and Computer Engineering at EPFL, specializing in embedded systems, thermal management, and HW/SW codesign. His research focuses on optimizing energy efficiency and performance in edge AI and Internet of Things (IoT) applications. He has developed methodologies for real-time data compression, thermal-aware design, and power-aware scheduling in resource-constrained environments. His work includes the creation of datasets for medical signal analysis and the design of energy-efficient architectures for wearable systems. Atienza's contributions span from hardware-software co-design to advanced thermal management techniques in multicore and 3D architectures.