José Cano is an Associate Professor in the School of Computing Science at the University of Glasgow, where he leads the Glasgow Intelligent Computing Laboratory (gicLAB) within the Systems Research Section (GLASS). His research spans Computer Architecture, Computer Systems, Compilers, Machine Learning, and Security. He received his Ph.D. in Computer Science from Universitat Politècnica de València in 2012. He is a Senior Member of IEEE and ACM and a member of HiPEAC.
José Cano
Expertise areas
Application areas: Smart home, Space, Transportation
Topics: Accelerators, Approximate computing, Artificial intelligence, Compilation, Computer architecture, Cyber-physical systems, Deep learning, Embedded Systems, Energy efficiency / Low-power computing, FPGAs, GPUs, Hardware, IoT, Machine learning, Multicore / Manycore, Optimization, Robotics, Safety, Simulation, Speech recognition