Ing. Behzad Nourani

I have a background in Signal Processing, Machine Learning, and Reinforcement Learning. I finished my PhD under the supervision of Claire Vernade. I worked on Bandit Algorithms on Graphs, Multi-Agent and Network Systems where the goal is to tackle real-world problems in Recommender System design, and Resource Allocation.

I received my master’s degree in Engineering in Computer Science in 2020. I gratuated from Sapienza University of Rome, department of Computer, Control, and Management Engineering. During my stay at the University of Rome, I directly worked with Sergio Barbarossa on mutliple projects related to Multi-Variate Time Series Models, Causal Structures, Graph Structure Learning from Streaming Data, Time-Varying Graphs, Regularization, and Optimization. We used frameworks for the analysis of the data of Financial Markets as well as the data of Epidemics such as Covid-19.

My resume also includes 3+ years of working as a data scientist/analyst in industry, in Agriculture sector. Additionally, in another period, I worked for 3+ years as research engineer on projects focused on Feature Engineering in Face Recognition Systems as well as Cancer Detection in Mammogram Images.