I'm interested in youth development as well as scientific research in the field of computer science. And I aim to be influential in youth development, gifted student mentoring and scientific research in the Kingdom of Saudi Arabia.
- M.S., Computer Science, KAUST, Saudi Arabia, 2020
- B.S., Computer Science, Rutgers University, New Jersey, 2018
Honors & Awards
- Dean's List, Rutgers University, 2018
- Achievement Award, KAUST Gifted Student Program, 2018
- Outstanding Public Speaker Award, KAUST Gifted Student Program, 2018
- Dean's List, Rutgers University, 2017
- Dean's List, Rutgers University, 2016
- The National Society of Collegiate Scholars Honor Award, The National Society of Collegiate Scholars (NSCS), 2015
- KAUST Gifted Student Program, 2013
Bldg 1, Level 2, 2106-WS16
Abdulellah Abualshour is a Ph.D. student under the supervision of Prof. Bernard Ghanem at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).
Education and Early Career
Abdulellah was chosen to join the KAUST Gifted Student Program (KGSP). He is a graduate of Rutgers University where he received a B.S. degree in Computer Science, with a focus on data science and artificial intelligence.
Regarding his early career, Abdulellah did many internships during his studies. In 2015, he worked for 1 year as a Public Relations Officer at Rutgers University in New Brunswick, New Jersey, USA.
After that, he was a Software Engineering Intern at The University of Texas at Austin in Texas, USA he developed an accurate, fast, and safe ground station for data collection when using sensors attached to a gumstix quadcopter, assembled at the University of Texas at Austin’s Cockrell School of Engineering. This project was initially a speculation of having a very accurate tool to collect aircraft principle axes data as soon as the quadcopter’s roll, pitch and yaw angles are successfully calibrated.
After returning to KAUST, he was a Digital Image Processing Intern. He worked on developing a reliable way to rectify urban images manually and automatically. Also, he had an internship in Deep Learning in which he implemented deep learning applications using Keras, PyTorch, and fast.ai.
Abdulellah is proficient in Python, Java, and deep learning technologies such as Keras and PyTorch. He’s interested in youth development as well as scientific research in the field of computer science, specifically in machine learning, deep learning, and data science.
Honors and Awards
Abdulellah received a fully-funded scholarship, in 2013, for undergraduate Saudis studying science and engineering abroad from KAUST Gifted Student Program (KGSP) in KAUST. In 2015, he was awarded the National Society of Collegiate Scholars Honor Award from The National Society of Collegiate Scholars (NSCS). During his studies at Rutgers University, he received the dean’s list 3 times for the years 2016, 2017, and 2018. In 2018, he was awarded the Outstanding Public Speaker Award and the Achievement Award from the KAUST Gifted Student Program at KAUST.