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The Networking Channel

Liz Izhikevich

Liz Izhikevich

speaker

I am a PhD Candidate/ NSF Fellow/Stanford Graduate Fellow at the Computer Science Department at Stanford University. I am also a graduate of UC San Diego (B.S. ’17, M.S. ’18). My research is at the intersection of networking, systems, and security. My hobbies include breakfast, hiking, skiing and traveling. 

Vishal Shrivastav

Vishal Shrivastav

speaker

I am an Assistant Professor of Electrical and Computer Engineering at Purdue University. My research interests are broadly in the area of computer networking and systems. I co-lead the PurNET Lab.
Prior to joining Purdue, I was a Postdoctoral Associate (Sep—Dec 2020) at Yale University. I received my Ph.D. (2020) and M.S. (2017) both in Computer Science from Cornell University. Before that, I completed my undergrad in Computer Science and Engineering at the Indian Institute of Technology, Kharagpur.

Te-Yuan Huang

speaker

Te-Yuan (TY) leads the Streaming Algorithm team at Netflix, improving Quality of Experience through adaptive bitrate algorithms. Our team helps instrument the joint-optimization between OpenConnect (Netflix’s CDN), Video Encoding Algorithms, and Streaming Client. This effort improves our operational efficiency, enables better tooling, and advances our understanding on the interactions between the sub-systems in the Netflix video delivery pipeline. TY also serves the computer networking research community ACM SIGCOMM as a member of technical program committee for various conferences and as a liaison for N2Women (Networking Networking Women), advising SIGCOMM’s inclusive and diversity effort. In 2016, TY was listed as one of the “10 Women in Networking/Communications That You Should Watch” by ACM/IEEE N2Women (Networking Networking Women) Outside of the professional domain, TY is active in various community services. At Netflix, TY serves in AEN (Asian Employees at Netflix) and leads cultural activities to foster better understanding of Asian culture within the company. Outside Netflix, TY served Taiwanese American community as a board member in TAITA (Taiwanese American Industrial Technology Association). Prior to Netflix, TY did her PhD research on the designs of video adaptive bitrate algorithm, understanding their interactions with TCP congestion control at Stanford. During her PhD, TY was also heavily involved in the early stage of OpenFlow and SDN research. Her thesis was advised by Prof. Nick McKeown and Prof. Ramesh Johari.

Christophe Diot

speaker

Christophe Diot received a Ph.D. degree in Computer Science from INP Grenoble in 1991. Diot pioneered diffserv, single source multicast, epidemic communication, peer-to-peer online games, and most importantly Internet measurements. After INRIA (years 93-98 in Sophia Antipolis), Diot spent his career in industry, building R&D labs at Sprint (Bay area), INTEL Research (Cambridge), and Technicolor (Paris and Palo Alto). He was the Chief Scientist at Technicolor between 2009 and 2015. He helped launch Safran Analytics as their CTO before joining GOOGLE in june 2018 as Principal Engineer in the Network Architecture team. At GOOGLE, Diot deals with telemetry at scale in the cloud infrastructure. Since January 2020, Diot is the Technical Lead of the Network Analytics team in the Google Global Networks organization. Diot has around 40 patents and more than 300 publications in major conferences and journals. He is an ACM fellow.

Serhat Arslan

Serhat Arslan

organizer

I am a Ph.D. candidate at Stanford University in the Department of Electrical Engineering since Autumn 2018. My research interests include self-driving networks, transport layer mechanisms and network/web intelligence.