Ph.D. Civil Engineering, North Carolina State University, 2019
M.S. Civil Engineering, North Carolina State University, 2016
B.Tech. Civil Engineering, NIT Silchar, 2011
Dr. Jeelani leads the Construction Automation and safety (CAS) research group, at the Rinker School of Construction Management. His research focuses on construction safety, visual data analytics, and cognitive sciences to support the building of the next generation of safe and smart infrastructure. He joined UF in 2019 after completing his Ph.D. and MS in civil engineering from North Carolina State university. Over the years, he has worked on multiple research projects focusing on : (1) visual attention behavior of construction workers and its impact on their safety performance, (2) augmenting worker performance through the development of AI solutions, and (3) evaluating the health and safety impacts of automated and robotic machines in construction.
The outcomes of the research have been published in leading peer-reviewed journals and conference proceedings. Dr. Jeelani developed the first personalized hazard-recognition training intervention for construction workers in 2016. The work was published in the ASCE Journal of Construction Engineering and Management and awarded the best paper of 2017 and was nominated for the Norman medal. Dr. Jeelani has also developed the first algorithm to map real-world gaze fixations of dynamic human subjects and developed a novel vision-based automated hazard detection system for construction. The work will be instrumental in augmenting human worker’s performance in detecting hazards on construction job sites. Currently, Dr. Jeelani is working on multiple projects funded by NSF and the US Department of Labor investigating the health and safety implications of UAVs on construction job sites, and building the AI-based tools to improve safety performance in construction.