Wael S. Hassanein was born in Egypt in 1975. He received his B.S. degree from production and Industrial engineering department, Faculty of engineering, Zagazig University, Egypt, in 1998. He also received his M.S. degree in 2004, and Ph.D. degree in 2013, from Industrial engineering and systems department, Faculty of engineering, Zagazig University, Egypt. Currently he is an assistant professor in the Department of Industrial Engineering, faculty of engineering, King Abdulaziz University, KSA.
EDUCATION
Industrial engineering
RESEARCH, TEACHING, or OTHER INTERESTS
Management Science and Operations Research, Economics and Econometrics, Statistics, Probability and Uncertainty
Diversity and Distribution Characteristics of Viruses from Soda Lakes Ramadan A. ZeinEldin, Marwa M. Ahmed, Wael S. Hassanein, Naglaa Elshafey, Ahmed R. Sofy, Hend A. Hamedo, Mohamed E. Elnosary Genes, 2023 Viruses are the most abundant living things and a source of genetic variation. Despite recent research, we know little about their biodiversity and geographic distribution. We used different bioinformatics tools, MG-RAST, genome detective web tools, and GenomeVx, to describe the first metagenomic examination of haloviruses in Wadi Al-Natrun. The discovered viromes had remarkably different taxonomic compositions. Most sequences were derived from double-stranded DNA viruses, especially from Myoviridae, Podoviridae, Siphoviridae, Herpesviridae, Bicaudaviridae, and Phycodnaviridae families; single-stranded DNA viruses, especially from the family Microviridae; and positive-strand RNA viruses, especially from the family Potyviridae. Additionally, our results showed that Myohalovirus chaoS9 has eight Contigs and is annotated to 18 proteins as follows: tail sheath protein, tco, nep, five uncharacterized proteins, HCO, major capsid protein, putative pro head protease protein, putative head assembly protein, CxxC motive protein, terl, HTH domain protein, and terS Exon 2. Additionally, Halorubrum phage CGphi46 has 19 proteins in the brine sample as follows: portal protein, 17 hypothetical proteins, major capsid protein, etc. This study reveals viral lineages, suggesting the Virus’s global dispersal more than other microorganisms. Our study clarifies how viral communities are connected and how the global environment changes.
On Hardy-Hilbert-type inequalities with α-fractional derivatives Marwa M. Ahmed, Wael S. Hassanein, Marwa Sh. Elsayed, Dumitru Baleanu, Ahmed A. El-Deeb Aims Mathematics, 2023 <abstract><p>In the current manuscript, new alpha delta dynamic Hardy-Hilbert inequalities on time scales are discussed. These inequalities combine and expand a number of continuous inequalities and their corresponding discrete analogues in the literature. We shall illustrate our results using Hölder's inequality on time scales and a few algebraic inequalities.</p></abstract>
Modeling and evaluation of SC MPPT controllers for PVWPS based on DC motor Marwa M. Ahmed, Wael S. Hassanien, Mohamed A. Enany Energy Reports, 2021 This paper presents novel models of Soft Computing (SC) Maximum Power Point Tracking (MPPT) controllers for Photo-Voltaic Water Pumping Systems(PVWPS) Based on DC Motor. Also paper discusses and evaluates the performance of the proposed models. The proposed methodology is mainly based on duty cycle prediction of the cuk converter to track the maximum power point (MPP) of the PV array. Indeed of the maximum water flow rate of PVWPS at varying climate conditions must ensure that the motor-pump set operates at MPP. The analytical modeling for the proposed MPPT controller has been implemented to predict the optimal duty cycle of the converter for MPPT achievement within the different operating conditions of solar radiation, ambient temperature, and total static head. Also, different Soft Computing (SC) Algorithms have been implemented and evaluated based on Particle Swarm Optimization (PSO) algorithm, Mine Blast Algorithm (MBA), and β-hill climbing (β-HC) algorithm. A comparative study between SC Algorithms, analytical modeling, and experimental works are given. Also evaluations of SC Algorithms are done to verify SC Algorithms’ accuracy. This evaluation study has proven the significant improvement of daily water flow rate and also has specified the appropriateness of the SC algorithm for MPPT for a PVWPS.
Analyzing and soft solutions to vehicle traffic problems in crowded institutions Said Ali Hassan, Seraj Yousef Abed, Wael Salah Hassanein Handbook of Research on Decision Sciences and Applications in the Transportation Sector, 2021 There is no doubt that the traffic problem is one of the problems faced by universities in different intensities for roads, intersections, and parklands. The negative effects of traffic congestion and bottlenecks are clear; they include extension of long waiting lines and increasing the time of transport with the consequences of ill effects. The effective solutions placed to resolve these problems need specialized studies relying on scientific methods for collecting and analyzing relevant data and drawing effective conclusions, recommendations, and solutions. The main purpose of this study is to analyze the problems of traffic congestion in crowded institutions, with realistic application to an anonymous University in Saudi Arabia as a case study and to provide the best solutions to achieve fluent flow of traffic at the present time and in the near and far future. Due to the complexity of the problem and its huge data and to facilitate the analysis process, the problem has been divided into three main sections, and the data is collected in four different ways.
Estimation of transmission line parameters using voltage-current measurements and whale optimization algorithm Wael S. Hassanein, Marwa M. Ahmed, Mohamed I. Mosaad, A. Abu-Siada Energies, 2021 Real-time estimation of transmission line (TL) parameters is essential for proper management of transmission and distribution networks. These parameters can be used to detect incipient faults within the line and hence avoid any potential consequences. While some attempts can be found in the literature to estimate TL parameters, the presented techniques are either complex or impractical. Moreover, none of the presented techniques published in the literature so far can be implemented in real time. This paper presents a cost-effective technique to estimate TL parameters in real time. The proposed technique employs easily accessible voltage and current data measured at both ends of the line. For simplicity, only one quarter of the measured data is sampled and utilized in a developed objective function that is solved using the whale optimization algorithm (WOA) to estimate the TL parameters. The proposed objective function comprises the sum of square errors of the measured data and the corresponding estimated values. The robustness of the proposed technique is tested on a simple two-bus and the IEEE 14-bus systems. The impact of uncertainties in the measured data including magnitude, phase, and communication delay on the performance of the proposed estimation technique is also investigated. Results reveal the effectiveness of the proposed method that can be implemented in real time to detect any incipient variations in the TL parameters due to abnormal or fault events.
Proposing and evaluation of MPPT algorithms for high-performance stabilized WIND turbine driven DFIG Marwa M. Ahmed, Wael S. Hassanein, Nadia A. Elsonbaty, Mohamed A. Enany Alexandria Engineering Journal, 2020 The Doubly Fed Induction Generator based Wind Turbine (WT-DFIG) suffers from instability while steady-state operation if improperly controlled. This paper proposes and evaluates three Scalar strategies that ensure Maximum Power Point Tracking (MPPT) and stabilize the WT-DFIG. Both of the generator electromagnetic torque – speed and the wind turbine mechanical torque-speed characteristics are taken into account. The DFIG steady-state stabilized MPPT characteristic is first examined and evaluated in conjunction with the ratio of the stator voltage to rotor voltage magnitude. Then a scalar control strategy based on Rotor Voltage and Frequency Magnitude Control (RVFMC) function as related to the selected stator voltage is proposed. Stabilized MPPT for any specified speed range at different operating conditions are presented. For DFIG steady state instability declaration, its developed torque is defined in forms of two main components, specified as induction torque components and synchronous torque components. The induction torque impacts on stability while MPPT at steady state is presented, and further approved by the WT-DFIG MPPT dynamic model. The three Scalar MPPT control algorithms are constructed based on a constrained Rotor Voltage Angle (RVA). The first one deal with maximizing the synchronous developed power (MSP), the second strategy optimizes the synchronous power to achieve higher stability at higher power capability (OSP) and the third strategy deals with gaining higher power at maximum efficiency (ME). The RVA is the shift angle with the stator voltage which may be considered as a load angle has been defined for each algorithm. Detailed performance characteristics are presented, compared and evaluated to recognize the gained power ratio, stability, and efficiency enhancement. The proposed techniques implementation is explained; the RVC controller design and a simplified block diagram of the prescribed independent voltage and frequency reference generator block diagram are provided.
Using industrial engineering tools in the realization of saudi vision 2030 for supporting local industry Proceedings of the International Conference on Industrial Engineering and Operations Management, 2019
