I am an seasoned and results-oriented R&D professional, with over 17 years experience. I have participated in and managed a large number of large-scale R&D projects, both commercial and academic, at the national and European levels. My main field of expertise is Quality of Experience (QoE), which deals with how users experience the services they use. QoE is a very multidisciplinary field, spanning several technical domains such as networks, media, cloud, and web, as well as human aspects, including business. I am also knowledgeable on a number of other topics, such as Data Analysis, Predictive Models, Network Performance (QoS), Network Function Virtualization (NFV), Software-defined Networks (SDN), and Network Management.
I am currently working in the analytics team at callstats.io, figuring out how to understand and monitor QoE for WebRTC services. WebRTC brings significant challenges to the table when it comes to its QoE, as it comprises a variety of real-time, multi-party, multi-modal applications. This is an end-to-end process, from designing suitable quality models to implementing them in production (in Clojure and Java, in the context of a real-time, large-scale stream processing pipeline).
In the first half of 2017, I was a Senior Systems Engineer at EXFO, in the NFV team. My work revolved around the virtualization of network probes and their associated support infrastructure, and their integration into NFV architectures, notably ETSI NFV MANO. There were also performance issues to be addressed, due to moving the probes from specialized hardware to a COTS-based cloud context.
Until early 2017, I was a Principal Scientist at VTT Technical Research Centre of Finland, working in the Network Performance team, within the Communication Systems expert area.
At VTT, I was the lead for research in the QoE domain. Besides the traditional work on quality assessment for media services, I have also worked on other aspects of QoE, most notably QoE management, and the business and economic aspects of QoE.
I have also worked on ways to define, understand and improve QoE for non-media services, in particular for Web-based services (WebQoE). This is particularly interesting for Cloud services, and work on this subject was spear-headed within the TIVIT Cloud Software Program. There are many possible applications for QoE estimators for generic services, ranging from SLA definition and enforcement, Operating Support Systems, datacenter management, and of course QoE optimization for the different services.
PhD in Computer Science, 2005
Université Rennes 1, France
MSc in Computer Science, 2002
Université Rennes 1, France
Computing Engineering, 2001
Universidad de la República, Uruguay
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