Internet has catalysed modern computing to evolve towards distributed architectures rapidly, creating novel technology paradigms like cloud computing and IoT. Computing Systems conducts interdisciplinary research into the infrastructure and systems that support such novel technology paradigms. The research ranges from theoretical, such as distributed systems, distributed system architectures and distributed algorithms to applied such as IoT, Web Services, Analytics, Ubiquitous Computing, Systems for Machine Learning and Distributed Multimedia systems. These research areas are intersectional in their design, underlying infrastructure and service delivery constraints. Focus areas include IoT management, networking and applications, vehicular networks, edge computing, web service design and analytics, system analytics, video delivery optimization and low latency distributed multimedia systems including cloud/edge rendered XR. The research uses empirical methodologies to leverage human factors like human visual system and human computer interaction in system design, specifically in cloud rendered XR and ubiquitous computing.
Key words: cloud computing, edge computing, IoT, performance, systems software, distributed systems, resource-aware and green computing
What prevents us from making the most of the IoT? Aalto researchers developed ways to make IoT truly ubiquitous
For his doctoral dissertation, Óscar Novo Díaz researched the technical challenges that prevent us from using the full potential of the Internet of Things
VimAI uses machine learning mixed with computer vision to bring on a new kind of augmented reality or as they say, augmented intelligence, for indoor settings. It’s all easily accessible on a smartphone, and with no hefty infrastructure investment.
Related research groups
Collaborative institute for research on information technology.
International research hub for artificial intelligence