It is almost always the case that work is assigned to us in the workplace, in academia, and even in our personal lives. Being part of KAUST will change this old fashioned perception of how things are done. In particular, KAUST provides the freedom and liberty that is necessary for academics to work on what motivates them, interest them, and inspire them. Through inspiration, discovery.
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Abdulrahman Althobaiti is a MS student in Statistics at the King Abdullah University of Science and Technology (KAUST), studying under the supervision of Professor Hernando Ombao in his research group.
Education and Early Career
Abdulrahman was granted a fully funded scholarship through KAUST Gifted Students Program (KGSP) to complete his undergraduate studies. He attended Georgia Tech's English Institute in 2012 and continued his preparation for undergraduate studies at the University of Kansas in 2013. In 2014, he started as a freshman at Rutgers the State University of New Jersey majoring in Computer Science. While at Rutgers, he worked as an undergraduate researcher for the department of aerospace engineering and engineering mechanics at the University of Texas at Austin in 2016, and he was appointed as a part-time lecturer by Rutgers' Computer Science department in 2017. He graduated from Rutgers with honors in 2018. Afterwards, he joined KAUST's Computer Science program for his graduate studies.
Research Interest
Abdulrahman's research interests are mainly focused on topological data analysis (TDA) and its relation with graph theory and statistics. His current research involves building the structure of brain signal interactions to understand and visualize the effects of brain strokes.
Awards
KAUST gifted students program 2012.
Silver medalist, Rutgers' prediction cup 2016.
