The global head of the Analytics Research Group in NOKIA Bell Labs
Alessandra Sala is the global head of the Analytics Research Group in NOKIA Bell Labs. In her prior appointment, she led the Data Analytics and Operations Research group in Bell Labs Ireland. Before that, she held a research associate position in the Department of Computer Science at University of California Santa Barbara. During this appointment, she was a key contributor of several funded proposals from National Science Foundation in USA and her research was awarded with the Cisco Research Award in 2011. She focused her research on modeling massive graphs with an emphasis on mitigating privacy threats for Online Social Network users. Before that, she worked for two years as post-doctoral fellow at UCSB where she started her international research experience after completing her Ph.D in Computer Science at University of Salerno, Italy.
Her research focus lies on data analytics, distributed algorithms and complexity analysis with an emphasis on graph algorithms and recently AI, machine learning and deep learning. In her previous research, she has developed efficient distributed routing algorithms that support robust and flexible application level services such as scalable search, flexible data dissemination, and reliable anonymous communication.
She was recently the Technical Program Committee Chair of WWW 2016, the general chair of ACM COSN 2014 and has served on the TPC of several networking and data mining conferences as IEEE INFOCOM, WWW, P2P etc. She was recently awarded as the Distinguished Member of the 2015 IEEE INFOCOM Technical Program Committee.