
Scope of applications and automatic design
Research and develop training and solutions around the semiconductor ecosystem focusing on applications and design automation with the study of new architectures and circuits for serial communications and optimization of physical planning, placement and routing of circuits using efficient algorithmic techniques in highly complex systems.
Ongoing investigations
Design and implementation of power management circuits for quantum dot-based image sensor characterization systems
Alen Garalyan
Research Support Investigator
Design of Chip-Level Digital Subsystems for a Hybrid-Stacked Image Sensor
Andreu Llompart Roca
Research Support Investigator
Design of Chip-Level Digital Subsystems for Hybrid Stacked Image Sensors
Néstor Tuneu Arroyo
Research Support Investigator
Development of an Interactive Graphical Tool for Optimization and Editing of Floorplanning in Chip Design
Nuria Elizondo Cereza
Research Support Investigator
Development of Mathematical and Heuristic Optimization Tools for Chip Floorplanning
Guillem Pastor Rué
Research Support Investigator
FPGA-based systems for multi-sensor cameras
Judit Ubach Badía
Research Support Investigator
Hierarchical floorplanning optimization algorithms for System-on-Chip architectures
Bernat Ibañez
Research Support Investigator
High Predictability Global Routing during Floorplanning of Complex Chips
Antoni Pech Alberich
Research Support Investigator
High-speed serial data transmission circuit for image sensors
Enrique Barajas Ojeda
Research Support Investigator
High-speed serial data transmission circuit for image sensors
Alberto López Gassó
Research Support Investigator
Mathematical Optimization Techniques for Hierarchical Floorplanning of Complex Chips
Yilihamujiang Yimamu
Predoctoral Researcher
Optimization of Training Distributed AI Workloads on Multi-node Computing Systems
Mohammad Nasser
Predoctoral Researcher
Optimization of Training Distributed AI Workloads on Multi-node Computing Systems.
Xavier Querol Bassols
Research Support Investigator
Optimizing distributed AI workload training on multinode computing systems
Sergi Tomàs Martínez
Research Support Investigator
Simulation-Based Recommendation Framework for Scalable Training of Distributed AI
Tomàs Gadea Alcaide
Research Support Investigator






