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Mahmoud Moussa

Researcher at Banha University

Publications -  71
Citations -  634

Mahmoud Moussa is an academic researcher from Banha University. The author has contributed to research in topics: Computer science & Public sector. The author has an hindex of 11, co-authored 51 publications receiving 526 citations. Previous affiliations of Mahmoud Moussa include RMIT University & Rajamangala University of Technology Lanna.

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Sea level variability and tidal resonance in the Gulf of Gabes, Tunisia

TL;DR: In this article, the amplitude and phase estimates for the four major constituents (K1, O1, M2, and S2) are compared to estimates from previous studies, based on simple dynamical arguments, it is shown that the Gulf of Gabes has the right dimensions to entertain tidal resonance for most semi-diurnal tidal harmonics.
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Analysis of hydrobiological pattern in the Bizerte lagoon (Tunisia)

TL;DR: In this article, a variant of the EOF (Empirical Orthogonal Function) technique is used to examine hydrobiological variability modes in Bizerte lagoon.
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A Conceptual Framework of the Factors Influencing Innovation in Public Sector Organizations

TL;DR: In this paper, a review and analysis of the literature on public sector innovation is presented, and the authors discuss achievable and indispensable factors that might promote or enhance a culture of innovation in the public sector.
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Monitoring Employee Behavior Through the Use of Technology and Issues of Employee Privacy in America

TL;DR: In this article, the authors discuss the role of human resource development (HRD) in employee assessment and development, as well as the rationale behind employee monitoring and leadership behaviors, and advice that makes monitoring less distressful.
Proceedings ArticleDOI

Student Project Allocation with Preference Lists over (Student, Project) Pairs

TL;DR: This model proposes several ways to construct the lecturer's preference lists which give us higher efficiency and accurate results and presents algorithmic issues for SPA-(s, p), the algorithm yields a stable matching of students to projects, which respects the preference lists and capacity constraints.