Design, Construction and Planning

Construction Automation and Safety Research Group (CAS)

Led by Idris Jeelani · Construction Management

Auto-generated from UF undergraduate research symposium abstracts

What we study

The CAS Lab studies construction safety and worker performance using visual data analytics and AI. They develop tools to improve hazard detection and safety training for construction workers.

What working here is like

  • Computational
  • Human participants
  • Coding helps
Projects
2
Papers
5

Current projects

Health and safety implications of UAVs on construction job sites

Investigating how drones affect safety on construction sites.

AI-based tools to improve safety performance in construction

Building AI tools to enhance worker safety training and hazard detection.

Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.

Recent papers, explained

Show 3 more papers

Plain-language summaries are AI-written and reviewed by us; check the paper for details.

How to reach out

Idris Jeelani hasn't set up this page yet. You can also look them up in the UF directory (search “Idris Jeelani”).

Log in to save this lab, see how to contact the PI, and write your outreach email.

Are you in this lab?Claim this lab

Open positions

No positions posted right now. Many labs still take undergrads who reach out to them, so see how to get in touch.
Construction Automation and Safety Research Group (CAS) · Idris Jeelani | JoinLattice