Javier Navarro Lázaro
Javier Navarro Lázaro
Javier Navarro Lázaro is a Ph.D. candidate at Interuniversity Microelectronics Centre (imec), conducting research within the ANT project. His work focuses on designing extremely efficient and scalable wireless protocols using a novel computation technique called “Over-the-Air Computation”. This technique is vastly interesting for different Artificial Intelligence (AI) use cases using low-powered devices, such as Federated Learning, collecting data and sharing local models to train a general model in a centralized device, or inference, where different devices would communicate exceptionally fast, such as in the coordination of automative vehicles.
Javier holds a Master’s degree in Computer Engineering from the University of Almería, where he developed optimized AI epileptic seizure detection models for a low-powered custom smartwatch device. Prior to his Ph.D., he also worked as a research engineer at the University of Almeria’s Supercomputation & Algorithms research group, where he focused on optimizing different AI models for low-powered devices and using GPU-based High Performance Computing techniques to optimize computer simulations, which led to his being awarded the “Best Bachelor Thesis” prize of excellence of his promotion.
Driven by a passion for bringing revolutionary breakthroughs to the real world, Javier’s ambition denotes a special interest in integrating cutting-edge computation techniques to enable previously challenging AI-assisted embedded systems in reality.