The growing complexity and scale of scientific, industrial and societal problems are pushing computing beyond conventional architectures and methods. AI workloads, scientific simulation, real-time sensing, connected systems and data-intensive applications demand greater performance, scalability and energy efficiency, while computing itself is becoming increasingly heterogeneous and distributed across devices, edge, cloud and high-performance infrastructures. At the same time, emerging applications require computing systems that are not only faster, but also adaptive, trustworthy and capable of operating under real-world constraints. This creates new challenges across hardware architectures, programming models, algorithms, data processing and intelligent systems.
Across the INESC ecosystem, Advanced Computing brings together expertise spanning advanced devices and architectures, high-performance and parallel computing, distributed and edge systems, AI, optimisation, computational modelling and intelligent systems. INESC combines foundational computing research with multidisciplinary applications in areas including health, engineering, energy, communications and industry. From CPUs, GPUs, FPGAs and specialised accelerators to cloud, edge and IoT infrastructures, our research develops scalable computational approaches that connect hardware, software and algorithms with the needs of real-world applications.
Advanced semiconductor materials, nanoelectronics, sensors, MEMS, spintronics, photonics and specialised architectures for emerging computing paradigms, including neuromorphic and in-memory approaches.
Parallel and heterogeneous computing, high-performance architectures, scheduling, load balancing, distributed systems, programming models, middleware, cloud computing and scalable computing infrastructures.
Industrial AI, data ecosystems and governance, industrial digital platforms, IoT and cyber-physical systems, information systems engineering, and human-in-the-loop, trustworthy AI
Edge and fog computing, IoT, cyber-physical systems, communications, sensing, remote monitoring and distributed intelligence for real-time and resource-constrained environments.
Centre Coordinator for Advanced Computing Systems (CRACS) at INESC TEC and Associate Professor at the University of Porto.
Researcher and former/associated coordinator/developer within the CRACS center.
Research Coordinator associated with the unit.
Former long-time coordinator of CRACS who transitioned to Vice-Rector at the University of Porto
Power Systems
Grid Intelligence Lab
Power Systems
Grid Intelligence Lab
Power Systems
Grid Intelligence Lab
Power Systems
Grid Intelligence Lab
Advanced Computing capabilities are central to Europe’s digital and technological sovereignty, scientific competitiveness and industrial transformation. INESC research contributes across the computing continuum, from advanced hardware and architectures to high-performance computing, distributed and edge infrastructures, AI, optimisation and intelligent applications. These capabilities support European priorities in high-performance and exascale computing, artificial intelligence, advanced digital infrastructures, energy-efficient computing, edge and cloud technologies, and emerging computing paradigms. They also enable demanding applications in health, engineering, energy, communications and industry.
