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Collaboration Candidate Template

Use this template to evaluate authors, labs, groups, dataset owners, code maintainers, and communities connected to AI/ML WiFi sensing.


Candidate Information

Name / Group:
Affiliation / Organization:
Website / Profile:
Contact path: GitHub / LinkedIn / Email / Lab website / Conference / Other
Related paper, dataset, code, or project:


Research Area

Select all that apply:

  • AI/ML WiFi sensing
  • WiFi CSI sensing
  • Healthcare-relevant sensing
  • Wireless security
  • Adversarial machine learning
  • Signal processing
  • Smart environments
  • Aging technology / assisted living
  • Reproducible research
  • Other

Why This Candidate Is Relevant

Briefly explain why this person, lab, or group belongs in the hub.


Possible Collaboration Angle

Examples:

  • Suggesting related papers
  • Dataset/code sharing
  • Reproducibility discussion
  • Security/robustness discussion
  • Healthcare-relevant sensing discussion
  • Research seminar or meeting
  • GitHub issue contribution
  • LinkedIn discussion
  • Future joint research

Evidence Link

List the specific paper, dataset, code repository, or research gap that connects this candidate to the hub.


Outreach Readiness

Select one:

  • Ready to contact
  • Needs more background review
  • Monitor for later
  • Not a priority

Explain why:


Collaboration Value

Select one:

  • High
  • Medium
  • Low
  • Not Reviewed

Notes