Diletta Olliaro

As of October 2025, I am a PostDoctoral Fellow at KTH Royal Institute of Technology in Stockholm, Sweden, where I work within the TECoSA research center. On March 7, 2025 I have defended my PhD thesis, titled Models for Throughput Maximisation in Distributed Systems and I was awarded a PhD in computer science (cum laude). 

My research focuses on queueing theory, product-form solution models, and, more broadly, the stochastic modeling of networks and telecommunication systems. My work aims to evaluate and enhance performance and reliability in modern computer systems. In recent years, I have concentrated particularly on the Multiserver Job Queueing Model, an abstraction useful for gaining insights into the challenges posed by multi-resource job queues.

After obtaining my Bachelor's Degree in Information Technology in 2018, I accomplished my Master of Science Degree from Ca' Foscari University of Venice, in July 2021. I graduated cum Laude with the thesis "A RCAT Application and Operational Analysis on a Fetching Queueing Network". My academic journey continued as I started my Ph.D. in Computer Science at the same institution, in September 2021

As part of my doctoral studies, I had the opportunity to work as a visiting PhD student at several renowned international institutions, including IMDEA Networks Institute in Madrid (Spain), the Pontifical Catholic University of Rio de Janeiro (Brazil), and Imperial College London (United Kingdom). These experiences not only sharpened my academic skills but also helped me build lasting cross-cultural relationships, fueling my passion for learning and innovation.

In June 2024, I served as the Local Arrangements Chair for the 16th Joint ACM SIGMETRICS / IFIP Performance Conference, and in 2025, I am honored to join the Program Committee for CCGrid 2025, contributing to the Hardware Systems and Networking track, focusing on hardware architecture and data center networking.

My Curriculum Vitae, last updated in August, 2025 can be found here. My Job Candidate Profile recently published on ACM SIGMETRICS Performance Evaluation Review can be found here.