יום שלישי, 6.11.2018, 14:30
Machine learning (ML) has deeply impacted many areas of computer
science, including computer vision, natural language processing,
computational biology, and beyond. Yet, computer networking has largely
withstood the ML tide until recently. Recent advances suggest that this
might be changing. We ask whether/when traditional network protocol
design, which traditionally relies on the application of algorithmic
insights by human experts, can be replaced by a data-driven, ML-guided
approach. We will investigate this question in the context of the
fundamental challenge of congestion control on the Internet.
Michael Schapirs is an associate professor at the School of Computer
Science and Engineering, the Hebrew University of Jerusalem. He is also
the scientific co-leader of the Fraunhofer Cybersecurity Center at Hebrew
University, and a member of the Center for the Study of Rationality and
of the Israeli Center of Research Excellence in Algorithms.
Prior to joining the Hebrew University he was a visiting scientist at
Google NYC (2011/12), where he worked with the Infrastructure Networking
group. He was also a postdoctoral researcher at UC Berkeley and Yale
University (jointly), with Prof. Joan Feigenbaum and Prof. Scott Shenker
(2008-2010), and at Princeton University, with Prof. Jennifer Rexford
(2010/11). Prof. Schapira is a recipient of the Allon Fellowship (2011),
the Microsoft Research Faculty Fellowship (2013), the Hebrew University
President's Prize (2014), the Wolf Foundation's Krill Prize (2015),
an ERC Starting Grant (2015), 2 IETF/IRTF Applied Networking Research
Prizes (2014+2017), and a Google Faculty Research Award (2017).
Schapira holds a B.Sc. in Mathematics and Computer Science, a B.A. in
Humanities, and a Ph.D. in Computer Science, all from the Hebrew
University (received in 2004, 2004, and 2008, respectively). His Ph.D.
dissertation, titled ''The Economics of Internet Protocols'', was
written under the supervision of Prof. Noam Nisan. During his graduate
studies, he spent time at UC Berkeley and Yale University as a visiting
student, interned at Microsoft Research Silicon Valley, and worked at
BrightSource Industries Israel (BSII).
Refreshments will be served from 14:15
Lecture starts at 14:30