About Me

I am a Postdoctoral Associate at the Cornell University's elite Runway program at the Cornell Tech campus in New York City. Cornell's prestigious Runway program is designed to make the best academic research available and accessible to the public. My research focuses on autonomous sensing, data interpretation and intelligent condition assessment of structures. I have been working in the field of computer vision and machine learning to develop robust systems for quantitative health monitoring of civil infrastructures. My work on GPU-accelerated robotic infrastructure condition assessment was named one of the five finalists for NVIDIA’s 2016 Global Impact Award, awarded for groundbreaking work that addresses social, humanitarian and environmental problems. Recently, I was selected and participated in the NSF national Innovation Corps (I-Corps™) program for exploring research commercialization and entrepreneurship. I am the author of 17 papers in international high-impact journals and conference proceedings and the co-inventor of a patent-pending method for generating 3D models of large civil infrastructure systems. I am also an active member of a variety of technical committees devoted to the monitoring and assessment of civil infrastructure, as well as computing in civil engineering.