Alessandro Zocca

UPDATE: on October 2019 I started working as assistant professor at Department of Mathematics of the VU Amsterdam in the Analytics & Optimization group.

From September 2017 until September 2019 I worked as postdoctoral researcher in the group of Adam Wierman and Steven Low at Caltech, thanks to the NWO Rubicon grant I have been awarded, titled "Renewables and uncertainty in future power systems: Mathematical challenges and solutions".

Research interests:

My research is centered around the study of large-scale societal networks where randomness plays a crucial role, in particular communication networks and power systems. My work lies mostly in the area of applied probability, but has many deep ramifications in other areas, such as pure probability, statistical physics, graph theory, operations research, algorithm design, and control. 

My long-term goal as a researcher is to analyze these complex networks and their performance in presence of uncertainty with rigorous mathematical tools, as well as understand how such randomness can be either mitigated or, potentially, leveraged to improve the system resilience or performances.

The main focus of my current research are stochastic models instrumental to understand and quantify the impact of a high penetration of renewable energy sources on power systems. More specifically, I work on rare-event analysis, stochastic optimization, and MCMC methods for rare events, especially in relation to cascading line failures and frequency violations. 

Furthermore, I am also still working on some topics related to my PhD thesis, namely low-temperature behavior of various interacting particle systems and delay performance analysis of random-access algorithms.

For more details have a look at the list of publications and ongoing projects and my Google Scholar page.

Email:
 
 

Mailing address: 

Vrije Universiteit Amsterdam
BETA/Wiskunde
De Boelelaan 1105
1081 HV Amsterdam (NL)