I earned my bachelor’s degree from Bangladesh and completed my M.Sc. in Civil Engineering at the University of Louisiana at Lafayette. In my ongoing Ph.D. dissertation, I am applying statistical and machine learning approaches to forecast the degradation of pavement marking retroreflectivity, aiming to streamline the pavement marking service life assessment. Additionally, I am identifying geometric characteristics influencing the retroreflectivity inconsistencies within segments to optimize restriping costs. Furthermore, I am exploring the statistical correlation between retroreflectivity and crash frequency, providing empirical evidence for maintaining MUTCD minimum retroreflectivity standards. While working on a UTC Project, I developed connected and autonomous vehicle (CAV) educational materials for undergraduate and graduate students within the Civil Engineering curriculum. This initiative involved identifying crucial CAV content from a national survey and developing course materials for transportation engineering courses. In addition to my research experience, graduate coursework in traffic simulation has prepared me to conduct CAV simulations in VISSIM and traffic signal optimization using HCS and Synchro. My strong technical writing skills, demonstrated through my publication record and contributions to research projects and proposal development, exhibit my ability to effectively communicate complex research ideas. Furthermore, my experience in research collaboration with other individuals has sharpened my communication and teamwork skills. Besides, after graduation, I served as a Lecturer at Uttara University, Bangladesh. I taught courses in transportation engineering, mentored undergraduate students on their thesis projects, and actively contributed as a member of the lab development committee.