Towards Automatic Analysis of Sleep to Improve Health; Overview of HPC and AI Computing for COVID-19 in the US

Jacky Mallett, Reykjavik University and Rick Stevens, Argonne National Laboratory
Masterworks Webinar Series

Advanced Computing-Driven Research in Health Sciences, Energy, and the Environment

Masterworks Webinar and Panel Session

As part of an effort to promote and foster new scientific collaboration among Arctic nations, we are initiating a Master Works webinar series to highlight advanced computing impact in health sciences, energy, and environmental research. This webinar series brings together scientist from the U.S., Iceland and the Nordic countries to discuss compelling scientific challenges of common interest being addressed through advanced computing and to explore opportunities for collaboration. These Master Works events will feature two 30 minute presentations followed by a 30 minute panel session, total 90 minutes.


Jacky Mallet - Assistant Professor, Computer Science, Reykjavik University. Multi-disciplinary researcher focusing on the dynamics and operation of large scale networked systems. Currently researching time series analysis with deep learning for real-time medical sleep monitoring. 

Title: Towards Automatic Analysis of Sleep to Improve Health

Abstract: Applying A.I. and machine learning to multi-sensor inputs, offers the possibility of significantly improving detection and analysis of increasingly common conditions like sleep apnea that can cause major health issues over time if left untreated. One of the most important indicators of potential sleep apnea is pathological snoring, and in this talk we will review some of the challenges of working in this area, and the progress we have made with audio analysis of snoring and other signals as a basis for detecting apneic events.

Rick Stevens – Argonne National Laboratory’s Associate Laboratory Director for Computing, Environment and Life Sciences. Stevens’ research focuses on three principal areas: advanced collaboration and visualization environments, high-performance computer architectures and computational problems in the life sciences.

Presentation Title: Overview of HPC and AI Computing for COVID-19 in the US

Abstract: In this talk I’ll describe some of the ongoing work in the US applying HPC and AI to COVID-19 related research. I will discuss the COVID-19 HPC consortium that joins US supercomputing centers, computing and technology vendors and federal agencies to provide HPC cycles to the SARS- CoV-2/COVID-19 research community and to streamline access to resources via a single proposal mechanism. I’ll also discuss the collaboration among US DOE laboratory formed to apply advanced computing to the problem of developing molecular therapeutics for COVID-19.

Webinar Series Organizing Committee:

  • Morris Riedel, Associate Professor, University of Iceland
  • David Martin, Industry Partnerships and Outreach Manager, Argonne National Laboratory
  • Henning Úlfarsson, Assistant Professor, Reykjavik University
  • Steve Hammond, Senior Research Advisor, National Renewable Energy Laboratory

Event Website: