Matías Richart
I'm currently an Associate Professor (Profesor Agregado - Grado 4) at University of the Republic in Uruguay. I received my Computer Engineer and Master degrees from the University of the Republic in 2011 and 2014 respectively and my Ph.D. from University of the Republic and from Polytechnic University of Catalonia (Spain) in 2019.
My research focuses on the modeling, optimization, and intelligent management of distributed computing and communication systems, with a particular emphasis on microservice-based applications deployed across the cloud–edge continuum. I combine stochastic optimization, linear optimization, meta-heuristics, and machine learning—especially Graph Neural Networks (GNNs)—to address problems related to performance prediction, resource allocation, and elasticity.
I have extensive experience in the simulation and analysis of complex systems, including wireless networks and cyber-physical systems, with practical expertise in tools such as the NS-3 simulator and custom co-simulation environments that integrate network and robotic components. My work has also explored network slicing in 5G/6G, policy-based network management, and optimization of wireless parameters (e.g., Wi-Fi), often under stochastic or uncertain conditions.
I'm proud to be part of the MINA research group. You can find more details of my carreer at SNI-CVuy and a complete list of my publications at my Google Scholar profile.
I am actively looking for motivated Master’s and PhD students interested in working on topics such as: Microservices and cloud–edge computing, Graph Neural Networks for systems modeling, Resource allocation and elasticity, Optimization and machine learning for distributed systems. If you are interested, feel free to contact me.