Colloquium Talk with Dr. Sukrit Dasgupta, March 31: Designing and Deploying Cisco AI Spoofing Detection

Abstract:  As time passes, demands on networks are only increasing. Whether it’s the growth of bandwidth intensive applications, complexity of security postures, more devices per person or simply, more users spending more time on the network, the expectations for everything to “just work” is taken for granted. Traditional ways of managing, operating, and securing networks are being augmented with a steady influx of Machine Learning technologies to help with the challenges. In this discussion we will go over some scenarios where Machine Learning approaches are assisting network operations and talk about the motivations and challenges around the problem and solution space. As many of you will soon be looking forward to solving challenging problems in this domain once you graduate, I will share some of my experiences and also talk about how students can prepare themselves in this vast space.

Speaker Bio: Sukrit Dasgupta is the Head of Engineering for the Cisco AI Cloud platform team that deploys multiple AI Applications for Cisco DNA Center, Cisco Identity Services Engine (ISE) and Cisco ThousandEyes. He joined Cisco in 2008 and has been involved in multiple networking areas such as MPLS Traffic Engineering (MPLS-TE) and Transport Profile (MPLS-TP), Internet of Things (IoT), Smart Grid, Security, Wireless and Network Controllers. He is also a co-inventor on more than 70 patents in these areas. For the past 8 years he has been leading teams that are solving hard networking problems using AI and Bigdata. Dr. Dasgupta received his MS in Computer Engineering and PhD in Electrical Engineering from Drexel University, Philadelphia and BS in Computer Science from Sikkim Manipal Institute of Technology, India.