Me

I’m Flavia Salutari, born in the mid-90s in L’Aquila, a small town in Central Italy.

In 2012, I began my journey into computer science and telecommunications engineering at Politecnico di Torino.

In 2017, I started my academic research path at Telecom Paris, and by 2018, I embarked on a Ph.D. to further develop my expertise. After three years of dedication, I successfully defended my thesis and earned my Ph.D. in computer science, data and AI.

Now, I work at CHANEL, and I am excited to apply my technical expertise in the fascinating and multifaceted universe of this iconic French Maison.

You can learn more about my professional path through my cv.

My research

My work spans multiple areas at the intersection of computer networks and data science, with a recent focus on ethical AI and linguistic bias in language models. Some of my key contributions include:

• Linguistic bias in AI: My recent work explores the bias in transformer-based language models, particularly in their treatment of African American English.
• Quality of Experience (QoE): My research examined users’ perceived QoE on Wikipedia, through large-scale studies and analysis of user data.
• Network behavior analysis: I investigated IP-ID behavior on a large scale, contributing to a deeper understanding of its behavior in real-world environments.
• AutoML and anomaly detection: I co-authored a state-of-the-art review on AutoML, focusing on its application in anomaly detection and exploring future research directions.

For more information, you can explore my publication section or visit my Google Scholar.

The blog

Why did I feel this urge to start writing a blog? The answer lies probably in the fact that blogging is a common need for academics. This started as a way to share my academic interests and insights. While I may not update it as frequently, I hope you find the content engaging. Explore my posts in the blog section.