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Red Hat Research Days (09/17/2020)

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Red Hat Research Day is an opportunity for researchers, Red Hatters, technologists and students to come together to discuss research developments that will change the way we build and use computers, clouds and the crucial data we entrust to those systems. Complete abstracts for talks can be accessed on Research Days website

Schedule

· Networking
Networking
Meet other attendees. Click on "Networking" icon (video speed networking), or "People" tab (request one-on-one video call with specific attendee).
· Stage
Introduction from Research Director
Welcome and overview of Research Days
Hugh Brock
· Stage
MAIN STAGE: Learning from Biased and Small Datasets
Dataset bias is a major problem in computer vision. Kate Saenko will share whether we can we solve dataset bias with only a limited amount of supervision
Sherard Griffin Kate Saenko
· Stage
MAIN STAGE: Sharing and Replicability of Notebook-Based Research on Open Testbeds
Jason Anderson explores how UC created a sharing platform that makes it easy to replicate computer science experiments for research
Andrew Federman Juana Nakfour Jason Anderson
· Sessions
Learning from Biased and Small Datasets
Roundtable discussion for 'Learning from Biased and Small Datasets' talk
Sherard Griffin Kate Saenko
· Stage
MAIN STAGE: Enabling Rapid, Reproducible Experimentation with Popper Container-Native Workflows
Keeping track of which Docker commands we have executed can become unmanageable. Learn about a CROSS framework for defining container-native tasks.
Chris Wright Ivo Jimenez Carlos Maltzahn
· Sessions
Sharing and Replicability of Notebook-Based Research on Open Testbeds
Roundtable discussion for 'Sharing and Replicability of Notebook-Based Research on Open Testbeds' talk
Andrew Federman Juana Nakfour Jason Anderson
· Sessions
Enabling Rapid, Reproducible Experimentation with Popper Container-Native Workflows
Roundtable discussion for 'Enabling Rapid, Reproducible Experimentation with Popper Container-Native Workflows' talk
Chris Wright Ivo Jimenez Carlos Maltzahn
· Stage
MAIN STAGE : FABRIC: Adaptive Programmable Research Infrastructure for Computer Science and Science Applications
FABRIC is a research infrastructure that enables cutting-edge and exploratory research at-scale in networking, cybersecurity, ML and other science applications
Jiri Benc Ilya Baldin
· Sessions
FABRIC: Adaptive Programmable Research Infrastructure for Computer Science and Science Applications
Roundtable discussion for 'FABRIC: Adaptive Programmable Research Infrastructure for Computer Science and Science Applications' talk
Jiri Benc Ilya Baldin
· Networking
Networking
Take this opportunity to meet one-on-one with other attendees

Speakers

Chris Wright
Chris Wright

Conversation Lead: Red Hat, CTO

Andrew Federman
Andrew Federman

Digital Illustrator, Collective Next

Jiri Benc
Jiri Benc

Conversation Lead: Red Hat, Networking Software and Systems

Sherard Griffin
Sherard Griffin

Conversation Lead: Red Hat, Open Data Hub and AI/ML Pipelines

Carlos Maltzahn
Carlos Maltzahn

Speaker: UC Santa Cruz, CROSS. Director Center fo Research in Open Souce Software (CROSS)

Juana Nakfour
Juana Nakfour

Conversation Lead: Red Hat, Open Data Hub and AI/ML Pipelines

Ilya Baldin
Ilya Baldin

Speaker: RENCI, U of North Carolina, Advanced Networking. Director, Network Research and Infrastructure

Kate Saenko
Kate Saenko

Speaker: Boston University, AI, Adaptive Machine Learning. Director, Computer Vision and Learning Group

Jason Anderson
Jason Anderson

Speaker: University of Chicago, DevOps Lead

Hugh Brock
Hugh Brock

Red Hat Research Director

Ivo Jimenez
Ivo Jimenez

Speaker: UC Santa Cruz, CROSS. Reproducible Evaluation of Systems Research.

The event is over

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Red Hat Research

We guide great research upstream as trusted advisors in the research space.

Booths

Red Hat Research Quarterly

Red Hat Research Quarterly

Bringing great research into open source