M
Mohammad Ali Khasawneh
Researcher at Jordan University of Science and Technology
Publications - 102
Citations - 1248
Mohammad Ali Khasawneh is an academic researcher from Jordan University of Science and Technology. The author has contributed to research in topics: Asphalt & Computer science. The author has an hindex of 14, co-authored 77 publications receiving 867 citations. Previous affiliations of Mohammad Ali Khasawneh include New York University & New York University Abu Dhabi.
Papers
More filters
Journal ArticleDOI
A comprehensive review of ejector design, performance, and applications
TL;DR: The objective of this work is to provide a literature survey on the research attempts made in the field of ejector refrigeration systems and the studies made on the ejector as a component.
Journal ArticleDOI
Factors affecting medical students in formulating their specialty preferences in Jordan.
Yousef Khader,Dema Al-Zoubi,Zouhair Amarin,Ahmad Alkafagei,Mohammad Ali Khasawneh,Samar Z. Burgan,Khalid El Salem,Mousa Al Omari +7 more
TL;DR: Surgery, internal medicine, pediatrics, and obstetrics and gynaecology were the most preferred specialty preferences of medical students at Jordan University of Science and Technology.
Journal ArticleDOI
Predicting Moisture-Dependent Resilient Modulus of Cohesive Soils Using Soil Suction Concept
TL;DR: In this paper, a new predictive equation for the resilient modulus of cohesive soils using the concept of soil suction is presented, which is validated against experimental data of A-4 and A-6 soils conducted by the writers as well as by other data available in the literature.
Journal ArticleDOI
Laboratory characterization of asphalt binders modified with waste vegetable oil using SuperPave specifications
TL;DR: In this article, the authors used 1, 2, 4, 6, and 8% of waste vegetable oil by volume of the asphalt cement to improve the quality of the tested properties.
Journal ArticleDOI
Investigation of the use of nano-refrigerants to enhance the performance of an ejector refrigeration system
TL;DR: In this article, a new hypothesis is proposed for flow boiling modeling, where nanoparticles are assumed to not migrate to the vapor phase as phase changes occur continuously; this causes a significant increase in nanoparticle mass fraction for high vapor quality values.