Ph.D. Student Louai Alarabi Wins ACM SIGSPATIAL Student Research Competition
Ph.D. student Louai Alarabi placed first in the ACM SIGSPATIAL Graduate Student Research Competition for his paper “Summit: A Scalable System for Massive Trajectory Data Management.”
His winning research looks into building a robust and reliable distributed framework to handle and process massive amounts of trajectory data. Many organizations would benefit from these kinds of frameworks, such as transportation, habitat management, crowd management, and even asteroid tracking.
Alarabi’s research interest lies in the broad area of databases with a focus on big data management and spatio-temporal computing. He works with the Data Management Lab to scale out the processing and the organization of spatio-temporal data.
As the winner of SIGSPATIAL Graduate Student Research Competition, Alarabi will represent ACM SIGSPATIAL in the SRC Grand Finals, where winners from ACM SIGs are evaluated to nominate the ACM-wide SRC winners.
A complete list of winners from the SIGSPATIAL conference can be found on their website.
Please join the Department of Computer Science and Engineering in congratulating Louai Alarabi on this achievement and wish him luck at the Grand Finals!