NSF Workshop on Internet-of-Things (IoT) Systems

NSF Workshop on Internet-of-Things (IoT) Systems


Location: Georgia Tech Atlanta campus

Dates: December 3-4, 2018

Internet-of-Things systems are widely used in disciplines including manufacturing, logistics, and medicine. As IoT systems increase in scope and complexity, new challenges are presented.  The workshop will explore emerging challenges and identify research opportunities with the goal of improving the capabilities and use case repertoire of IoT technology. The workshop will help to build a community of IoT researchers. The workshop will include graduate student attendees to broaden educational impact. The workshop organizers will strive to build an inclusive set of workshop attendees. The workshop will include a session on diversity issues in IoT research. Talks from the workshop will be broadcast for wider dissemination. The workshop report will be broadly distributed.

Call for Participation

The workshop invites participation through submission of a white paper. Submissions should be emailed to wolf@ece.gatech.edu by Friday, October 19. The one-page white paper should include:

  • Presentation title.
  • Speaker name, organization, email address; along with names and affiliations of co-authors.
  • A summary of a research concept in IoT systems.

The workshop committee will select white papers for presentation at the workshop. Participants will present their ideas, participate in discussion, and participate in the drafting of a workshop report.  Some travel funds are available to help cover travel costs.

Potential topics include but are not limited to:

  • VLSI IoT device architectures.
  • Ultra low power design for IoT devices.
  • IoT communication and networking.
  • Emerging technologies for IoT devices and systems.
  • Distributed algorithms under power and bandwidth constraints.
  • IoT applications in manufacturing, transportation, health care, smart communities, etc.
  • Safe and secure IoT systems.
  • Data science challenges in IoT systems.
  • Machine learning and AI using IoT.

Workshop Committee

  • Dong Ha, Virginia Tech
  • Howard Shrobe, MIT
  • Mohammad Al Faruque, UC Irvine
  • Ryan Kastner, UCSD
  • Jack Stankovic, University of Virginia
  • Shuvra Bhattacharyya, University of Maryland
  • Robert Dick, University of Michigan
  • Li Shang, University of Colorado
  • Saibal Mukhopodhyay, Georgia Tech
  • Marilyn Wolf, Georgia Tech (chair)