CDAC Data & Technology Outlook: Future of AI and Data Science in Telecommunications

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Date(s):
May 12, 2021 at 11:00am - 12:00pm
Location:
Zoom/YouTube
Event Audience:
all
Bryan Larish

Speaker: Bryan Larish Chief Security Architect, Networks at Verizon

Bryan Larish is the Chief Security Architect for Verizon’s networks.  In that role he leads a team that plans and architects the future security capabilities of Verizon’s networks.  His team also develops artificial intelligence and machine learning capabilities that improve the performance of Verizon's networks.

Prior to joining Verizon, Bryan was Technical Director for Enterprise Connectivity & Specialized IT Services at a U.S. Government agency where he was responsible for setting the technical direction of the development and operation of the agency's global network infrastructure.  Bryan also worked in the Chief Engineer’s office at the U.S. Navy’s Space and Naval Warfare Systems Command (SPAWAR) where he implemented engineering techniques used to manage, architect, and plan the U.S. Navy’s communications/IT systems portfolio.  Bryan’s other experience includes Technical Director for Navy engineering policy and various engineering roles at SPAWAR.

Bryan holds a Ph.D. and M.S. in electrical and computer engineering from the Georgia Institute of Technology and a B.S.E. in electrical engineering from Arizona State University.

Nick Feamster

Speaker: Nick Feamster Neubauer Professor of Computer Science, University of Chicago

Nick Feamster is Neubauer Professor of Computer Science and the Director of Center for Data and Computing (CDAC) at the University of Chicago. Previously, he was a full professor in the Computer Science Department at Princeton University, where he directed the Center for Information Technology Policy (CITP); prior to Princeton, he was a full professor in the School of Computer Science at Georgia Tech.

His research focuses on many aspects of computer networking and networked systems, with a focus on network operations, network security, and censorship-resistant communication systems. He received his Ph.D. in Computer science from MIT in 2005, and his S.B. and M.Eng. degrees in Electrical Engineering and Computer Science from MIT in 2000 and 2001, respectively. He was an early-stage employee at Looksmart (acquired by AltaVista), where he wrote the company's first web crawler; and at Damballa, where he helped design the company's first botnet-detection algorithm.

Nick is an ACM Fellow. He received the Presidential Early Career Award for Scientists and Engineers (PECASE) for his contributions to cybersecurity, notably spam filtering. His other honors include the Technology Review 35 "Top Young Innovators Under 35" award, the ACM SIGCOMM Rising Star Award, a Sloan Research Fellowship, the NSF CAREER award, the IBM Faculty Fellowship, the IRTF Applied Networking Research Prize, and award papers at ACM SIGCOMM (network-level behavior of spammers), the SIGCOMM Internet Measurement Conference (measuring Web performance bottlenecks), and award papers at USENIX Security (circumventing web censorship using Infranet, web cookie analysis) and USENIX Networked Systems Design and Implementation (fault detection in router configuration, software-defined networking). His seminal work on the Routing Control Platform won the USENIX Test of Time Award for its influence on Software Defined Networking.

Abstract: Future of AI and Data Science in Telecommunications

Register Here

Join us for a fireside chat with Bryan Larish, Chief Security Architect, Networks at Verizon and Nick Feamster, Neubauer Professor of Computer Science at the University of Chicago on the emerging uses of AI and data science in telecommunications. Learn how machine learning can be used for advanced anomaly detection, IoT, edge computing and security applications. They will discuss the state of the field both in academia and industry, what changes have occurred due to COVID-19, and where they see opportunities for innovation.

The event will be moderated by Heather Zheng, Neubauer Professor of Computer Science at UChicago.

Part of the CDAC 2021 Data & Technology Outlook Series

Many of the data science and computational tools that revolutionized the modern business landscape resulted from close collaborations between industry and academia. Tomorrow’s innovations are under construction today in R&D departments and university laboratories, where researchers develop solutions to the most pressing data challenges across fields.

This winter, the Center for Data and Computing (CDAC) at the University of Chicago presents a series of critical conversations between industry leaders and researchers pushing the frontiers of data science forward, presenting and discussing new tools in artificial intelligence, data analysis and discovery, security and privacy, that will define the next decade of data technology in science and industry. The Outlook series will provide a balanced understanding of the trends reshaping business and tech with the goal of translating hype into realistic predictions.

Sponsor: Center for Data and Computing

Type: talk