What drew you to Telenor Research?
SM: I discovered Telenor just while finishing my PhD. I had received a post-doc position offer, but in the meantime, I was checking out jobs on Linkedin. That’s when I came across an opening for a research scientist in Telenor Research, and I noticed that they had women leaders in the team. I was very inspired by projects in Telenor Research, and I was surprised when they decided to hire someone like me – a person with a strong mathematical background but not so much coding experience.
Also read: How Telenor’s AI coders train chatbots to serve you better
What are you working on in Telenor?
SM: Once I started in Telenor Research, I was onboarded to the “Network AI” project to support the team in building Machine Learning models to improve Telenor Denmark’s network.
I am now leading the Telenor Research project “ML4ITS: Machine Learning for Irregular Time Series”, a four-year project funded by the Research Council of Norway that focuses on solving problems related to real case scenario time series data. In this project, Telenor, along with Master and PhD students, are working with Telenor Denmark’s network team. Our goal is to find ways to detect anomalies and improve the network performance, as well as customer experience, based on anonymous data and use cases from Telenor’s network domain.
I am also involved in the EU’s 5G-VINNI project, collaborating with Min Xie, Senior Research Scientist at Telenor Research in the Next Generation Network Technology team. I have been implementing some AI models that can identify bottlenecks in the experiments with 5G-VINNI Open Source MANO (OSM) testbed. We have published a paper and plan to submit another by June