Keynote Speakers

Edo Liberty

Rick L. Stevens

Argonne National Laboratory

Professor Rick Stevens is internationally known for work in high-performance computing, collaboration and visualization technology, and for building computational tools and web infrastructures to support large-scale genome and metagenome analysis for basic science and infectious disease research. A current focus is the national initiatives for Exascale computing and Artificial Intelligence (AI). He is the Associate Laboratory Director at Argonne National Laboratory, and a Professor of Computer Science at the University of Chicago. In addition, he is the principle investigator of the NIH-NIAID funded PATRIC Bioinformatics Resource Center, the Exascale Computing Project (ECP) Exascale Deep Learning and Simulation Enabled Precision Medicine for Cancer project, and the predicitive models pilot of the DOE-NCI funded Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) project. Over the past twenty years, he and his colleagues have developed the SEED, RAST, MG- RAST, and ModelSEED genome analysis and bacterial modeling servers that have been used by tens of thousands of users to annotate and analyze more than 250,000 microbial genomes and metagenomic samples.

Edo Liberty

John M. Cioffi

Stanford University

Illinois-BSEE: 1978, Stanford-PhDEE: 1984, Prof. EE, Stanford, 1986-present, now emeritus. Founder Amati 1991 (1997 purchased by TI); Chairman and CEO ASSIA Inc. Cioffi's specific interests are in the area of high-performance digital transmission. Awards include IEEE AG Bell (2010) and Kirchmayer (2014) Medals; Member Internet (2014) and Consumer-Electronics (2018) Halls of Fame; Marconi Fellow (2006); Member, US National (2001) and UK Royal (2009) Engineering Academies. 600+ papers and 100+ heavily licensed patents.

Keynote Title: Wi-Fi-ve-G: Convergence or Contention?

Abstract: Are Wi-Fi and Five-G converging? Wireless internet access has its data-use volume dominated by Wi-Fi in unlicensed spectra. Predominately, unlicensed-spectra use empowers over-the-top applications and their service from any of the billion(s) of locations that terminate wireline internet service in a Wi-Fi access point. Contention protocols attempt to arbitrate Wi-Fi spectrum use, while LTE/5G systems instead leverage licensed cellular infrastructure to plan real-time use to avoid contention. 5G systems sometimes may also be permitted to operate opportunistically in unlicensed spectra in addition to their nominal licensed-spectra operation. This talk provides some insights on how they can converge productively.

Edo Liberty

Kristin Lauter

Microsoft Research

Kristin Lauter is a mathematician and cryptographer whose research areas are number theory, algebraic geometry, and applications to cryptography. She is particularly known for her work on homomorphic encryption, elliptic curve cryptography, and for introducing supersingular isogeny graphs as a hard problem into cryptography. She is a Principal Researcher and Partner Research Manager of the Cryptography and Privacy Group at Microsoft Research in Redmond, Washington. She served as President of the Association for Women in Mathematics from 2015 –2017. She has published more than 100 papers and holds more than 50 patents.

Edo Liberty

Edo Liberty

HyperCube Inc.

Edo is the founder of HyperCube, an early-stage startup in the machine learning and cloud computing space. He was a Director of Research at AWS and the head of Amazon AI Labs. He led the creation of Amazon SageMaker and its Elastic Algorithms suite. He was also the science director supporting Amazon Elastic Search, Kinesis, Glue, QuickSight, Personalize, Forecast, DeepRacer and other AWS services. Prior to that, he managed Yahoo’s independent research lab in New York and its scalable Machine Learning Platforms group. Edo also co-founded an automatic video content recognition startup which was later acquired by Vizio. Edo Liberty received his B.Sc. in Physics and Computer Science from Tel Aviv University and his PhD in Computer Science from Yale University, where he was also a postdoctoral fellow in Applied Mathematics. As an adjunct professor at Tel Aviv University, Edo taught advanced data mining algorithms. He is the author of more than 75 academic papers and patents on topics such as machine learning, data mining, streaming algorithms, and optimization. His publications include award-winning breakthroughs on streaming matrix approximation and fast dimension reduction. He is a frequent program committee member and invited keynote speakers at international academic and developer conferences.

Keynote Title: Benefits and Challenges of combining Deep Learning and Search

Abstract: Deep Learning has fundamentally changed Information Retrieval. Traditional search retrieves text documents based on text queries. Today, however, companies want to search for images, videos, customers, jobs, shopping catalog items, friends, places, and many more. For such searches, Deep Learning models provide the most accurate results. Unfortunately, deploying and serving machine learning models at massive scale is still a herculean effort even for highly tech-heavy companies. This talk will survey some of those challenges. We will also introduce a new cloud-managed service by HyperCube which serves such real-time workloads.