Dr Gianni Antichi is a lecturer (assistant professor) at the School of Electronic Engineering and Computer Science of Queen Mary, University of London. Dr Antichi holds an MEng and a PhD in Information Engineering from the University of Pisa defended in 2007 and 2011, respectively. After being appointed as Research Associate for two years at University of Pisa, he moved to the University of Cambridge, first as Research Associate in 2013, and then promoted to Senior Research Associate in 2015.
Dr Antichi's research interests cover a broad spectrum of topics in both networks and systems. Specifically, they span network monitoring, networking systems performance characterisation and Software Defined Networking. Lately, he has been also focusing on understanding how better dataplane programmability can impact the design of networks as well as their services. One of his works got awarded with the best paper at ACM SIGCOMM 2017, considered the most prestigious conference in data communications and networking. He also acted as joint investigator on multiple EU H2020 projects (ENDEAVOUR and SSICLOPS) and recently I am co-investigator on the UK EPSRC fundend EARL project. The project seeks to pioneer SDN enabled measurement-based network management to enhance the Internet infrastructure.
The LIME (Learning-based reactive Internet Engineering) project seeks to help the monitoring of large networks by introducing AI/learning mechanisms and design novel ways to execute them at scale. Specifically, during the project, the team will design novel reactive network engineering techniques, by relying on distributed Internet monitoring. The key idea is to couple network monitoring and management, by introducing a feedback loop, so as to automatically adapt network management practices, towards better usage of network resources and more secure network infrastructures.