A self-motivated PhD candidate researching the development of Big data analytics techniques and proposing efficient and robust Big data platforms to overcome the challenges in transportations. Beyond my research, I am also dedicated to mentoring and educating the next generation of aspiring computer scientists. As MU instructor, I worked on simplifying complex programming concepts, engage students in meaningful discussions, and update them with the latest developments in the field. In addition to my teaching responsibilities, I also capitalized my technical skills in problem-solving, algorithm design, and software architecture to deliver software applications based on a wide array of programming languages and frameworks as Java, groovy, grails, etc... Throughout my academic career, my work was represented at various conferences and upcoming papers will be published soon in journals, contributing to the ever-evolving landscape of Intelligent Transportation Systems.

Selected Publications:

1. K. Zaraket, H. Harb, I. Bennis, A. Jaber, and A. Abouaissa, ‘Flophet: A Novel Prophet-based Model for Traffic Flow Prediction in Vehicular Ad Hoc Networks’, 01 2023.
2. K. Zaraket, I. Bennis, H. Harb, A. Jaber, and A. Abouaissa, “A comparative study of recent advances in big data analytics in vehicular ad hoc networks,” 2022 International Wireless Communications and Mobile Computing (IWCMC), 2022. doi:10.1109/iwcmc55113.2022.9825248