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Maher Alghalayini
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Atomistic and machine learning studies of solute segregation in metastable grain boundaries
Y Mahmood, M Alghalayini, E Martinez, CJJ Paredis, F Abdeljawad
Scientific Reports 12 (1), 6673, 2022
122022
Too much or too little? Investigating the usability of high and low data displays of the same electronic medical record
M Alghalayini, J Antoun, NM Moacdieh
Health informatics journal, 1460458218813725, 2018
112018
Unraveling the role of grain boundary anisotropy in sintering: implications for nanoscale manufacturing
O Hussein, M Alghalayini, SJ Dillon, F Abdeljawad
ACS Applied Nano Materials 4 (8), 8039-8049, 2021
92021
A preliminary study to investigate the sensemaking process of UAV reports by operators after periods of disconnect for threat assessment
H Rogers, M Al Ghalayini, KC Madathil
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62 (1 …, 2018
22018
Early Prediction of the Failure Probability Distribution for Energy Storage Technologies Driven by Domain-Knowledge-Informed Machine Learning
M Alghalayini, SJ Harris, M Noack
2024
Understanding the Role of Grain Boundaries in Nanoscale Sintering
M Alghalayini, F Abdeljawad
Graduate Research and Discovery Symposium (GRADS), 291, 2019
2019
Methods to Evaluate and Reduce Data Overload in Electronic Medical Records
M Alghalayini
FEA Student and Alumni Conference, 654 - 659, 2016
2016
Arcas: The Stair-Climbing Wheelchair
MO Fleifel, M Ghalayini, M Kebbi, O Mneimneh
FEA Student and Alumni Conference, 328-334, 2015
2015
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