The NSF workshop will be hosted in Alexandria, Virginia, on December 7-8 2023. This workshop will bring together stakeholders with domain expertise in sensing systems as well as experts in system- theoretic areas such as signal processing, optimization, machine learning, and control theory, so that they can interact and address a number of present and future challenges in smart sensing and analytics. Overall, this workshop strives to leverage the natural synergy between different sensing technologies, their applications, and methodologies developed in analytical areas to accelerate the development in next-generation sensing technologies and systems.
Mingyi Hong, Associate Professor, University of Minnesota
Alison Gray, Assistant Professor, University of Washington
Cherie Kagan, Professor, University of Pennsylvania
Qi Li, Assistant Professor, Cornell University
Joshua Smith, Professor, University of Washington
Peng Wei, Associate Professor, George Washington University
The workshop program will include keynote talks, panel discussion sessions with short talks, breakout sessions, and a poster session.
Keynote talks will be scheduled over both days of the workshop, and they will be delivered by world-renowned researchers and stakeholders from academia, industry, and governmental agencies.
These are anticipated to be around 1.5 hours in duration, with 4-5 talks and Q&A. We hope to strike the right mix between methodological and application-oriented panel topics. At the time of this writing, the following panels are anticipated:
Panel session on advances for sensing systems
Panel session on advances for sensing applications
Panel session on advances for analytical methodologies for sensing applications
The participants will have the opportunities to highlight their work in a 3-min short talk session, to pitch for their works.
The breakout sessions will be organized on the second day of the workshop. They will include a 2 hour discussion coupled with a 1.5 hour period reserved for report-back from scribes and discussion leads. The broad theme of the breakout session will be to seek answers to questions posed on the first day of the workshop and also to facilitate brainstorming between participants. The overarching theme will be sensing+, i.e., coupling sensing system research with a related interdependent infrastructure / enabling methodology. Some examples we wish to highlight of potential discussion areas include:
Integration of Novel Sensing Systems and Applications
Integration of Data Science, AI and Emerging Sensing Applications
At the end of day 1, a poster session will be organized to provide all interested participants the opportunity to present their work and spur discussion.
https://nsf.zoomgov.com/j/1613713486?pwd=YU94QVNuR3hmNmxLejZkeVNweG1tdz09