Hamdy Abdelhamid, in 2005, he obtained a Diplôme des Etudes Approfondies (DEA) and in 2007 a Ph.D. and European Doctorate from the Universitat Rovira i Virgili in Spain. His doctoral research focused on the development of CAD models for modern (nanoscale) SOI MOSFETs from DC to RF conditions. In 2005, Abdelhamid was a Graduate Visiting researcher at the University of Liverpool’s Electrical Engineering Department in the U.K. In 2007, he joined the Microelectronics Laboratory at Université catholique de Louvain in Belgium. He participated in a number of short courses on Silicon On Insulator (SOI) technology at universities, industrial companies and conferences. He also attended several Euro training courses on SOI technology, devices and circuits. From October 2007 to September 2009, Abdelhamid worked as a Postdoctoral Fellow at McMaster University’s Department of Electronics Engineering in Canada. Since Sep. 2012 to 2019, Dr Abdelhamid joined the center of nanoelectronics and devices, Zewail city of science and technology, Egypt. Abd El-Hamid authored and coauthored more than seventy research papers in device modeling, Energy harvesting, biosensors, VLSI and device/circuit simulations that were published in international journals and conference proceedings. He also has couples of book chapters, patents and prototypes. Dr. Abdelhamid received funds from ITIDA (Egypt) for Energy harvesting and for biomedical platform projects. He received funds from ASRT- Egyptian Deepen Local Manufacturing- Electronics Industry (DLMEI) for design and fabricate CMOS micro-energy harvesting sources. Dr. Abdelhamid also has received funds from Ajman University for implementing micro-grid systems, a Biosensor platform for bacteria detection, and COIVD-19. Dr. Abdelhamid is an IEEE senior member since 2015. Dr. Abd El-Hamid has been made a member of the American Nano Society and the Nanotech-Bank, in light of his scientific contributions in nanoelectronics and nanotechnology. In 2020, Dr. Abdelhamid has been nominated as technical committee member of IEEE Electron Devices Society (EDS). In Jan. 2019, Dr. Abdelhamid joined the Electrical Engineering, department, University of Ajman, UAE as a full-time associate professor to present.
In this work, a simple, compact, and accurate model for PV is introduced. The introduced model used the five-parameter approximation that accounts for both irradiance and temperature variations. The introduced model studied the effect of semiconductor parameters such as doping level, electron, and whole mobilities. The model is verified experimentally using electronic power load at different levels of irradiance and temperature. Also, an integrated module using Simulink simulation is introduced of about 1% error compared to the experimental results. In this work, we used four different PV modules to verify the introduced model. The model accuracy of the proposed reaches 0.85% at different levels of temperature and irradiance of 1000 W/m2.
Traditional biosensors are costly, cumbersome, and take a long time to report results, which limits their use in resource-constrained areas. Due to its high integration, customized architecture, and ease of mass processing, biosensors have been widely used in biomedical applications in recent years. In this paper, a biosensor is implemented using flexible printed circuit board technology for monitoring and identifying the effect of Baculovirus infection on one of its host cells (Sf9 cells) through many electrical features such as capacitance, impedance, permittivity, and conductivity. Furthermore, the effect of viral infection with different particle concentrations at different times was characterized. The results proved that the virus has a rapid effect on the cell by losing its electrical properties, which were clear from the decrease in electrical properties (e.g., capacitance, impedance, permittivity, and conductivity). Moreover, we introduced an equivalent model to represent the normal cells and infected cells based on the experimental results obtained for capacitance values. The proposed model simulation results are matched with the results obtained experimentally, which leads to the use of the model for predicting baculovirus infection. © 2022 The Authors
In this work, the temperature effects on the PV’s electrical and optical parameters of different surface gratings are studied. A 3D simulation is introduced for studying the PV’s electrical parameters such as short circuit current, open-circuit voltage, and efficiency at different levels of temperature with and without surface gratings. We observed that the efficiency is increased for the PV of surface grating by about 4.87% compared to the free grating surface’s PV. The efficiency of PV efficiency is degraded when the temperature is increased above 300 K. The solar cell efficiency of gratings free is aggressively degraded compared to the solar cell that includes gratings by about 4.89% at 360 K. The electrical parameters such as the open-circuit voltage and short-circuit current are enhanced compared to the PV of surface grating free. Also, we observed that the triangle grating geometry of dimensions about 10 × 10 nm produced a higher efficiency compared to the other PV of other grating geometries of the same dimensions. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
In this paper, we investigate the impact of surface plasmon polariton on the entire array of silicon thin-film solar cells. The electromagnetic and semiconductor models are used to investigate the optical and electrical properties of thin-film solar cells, respectively. This study is introduced by using the 3D Multiphysics simulator. A 14.76% efficiency is achieved for the triangle’ SPPs of 1.07% improvement compared with a solar cell with SPPs free. MATLAB/SIMULINK model based on mathematical equations was introduced for thin-film solar cells to study the complete array. This method is suggested to simulate the thin film array in a very short time.
The effects of surface plasmon polaritons (SPPs) on the efficiency, series resistance, and shunt resistance of thin-film Si solar cells are studied and analyzed in this work. Different SPP shapes and their effects on the optical and electrical properties and thereby the efficiency of thin-film solar cells are studied. Semiconductor and electromagnetic models are incorporated to study the electrical and optical behaviors of the thin-film solar cells, respectively, using COMSOL Multiphysics three-dimensional (3D) numerical simulation software. An efficiency of 14.76% is achieved for triangular SPPs, representing a 1.07% improvement compared with SPP-free solar cells. The solar cell electrical parameters are also extracted based on a single-diode equivalent model. The series resistance is decreased by 3% for solar cells having equilateral-triangle SPPs compared with SPP-free solar cells.
The objective of this paper is to provide a microfluidic platform that may be useful to manipulate and characterize different submicron particles such as latex spheres as well as viruses (E.g. SARS-COV-2) through the concept of dielectrophoresis. The significance of recent research towards microfluidics-based diagnostic chips is apparent in health care, in our homes, and also very prominently in the fight against the COVID-19 pandemic: Coronavirus disease 2019 (COVID-19) is a newly emerging human infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), early diagnosis and management are crucial for containing the outbreak. Here, we report a microfluidic device for separating a mixture of different viruses. Using appropriate microfluidic channels, flow velocity, microelectrode arrays, and voltage settings, particles can be trapped or moved between regions of high or low electric fields. The magnitude and direction of the dielectrophoretic force on the particle depend on the effective dielectric properties of fluid and particles so that a heterogeneous mixture of particles can be separated to produce a more homogeneous population. In this paper, the controlled separation of nanoparticles is demonstrated. With upper and lower electrode arrays, it is shown that different types of submicron latex beads can be spatially separated. The separation occurs because of differences in the magnitude and direction of the dielectrophoretic force and drag force on different populations of particles.
Food poisoning, infection of open wounds, and sepsis are the serious clinical consequences that pathogens can cause. Rapid identification of these pathogens allows prompt monitoring of infections, which improves clinical outcomes. An integrated platform is proposed to manipulate and identify the microorganisms (e.g., foodborne pathogens) in this work. An electrokinetic-based Actuator and capacitive-based sensor are the two primary components of the proposed platform. Dielectrophoresis-based microelectrode is proposed to manipulate the microorganisms. A novel vertical array of capacitive sensors is suggested To identify the levitated microorganisms. The mass of microorganisms can be extracted according to the applied dielectrophoretic force respecting the gravitational force. The whole platform is simulated using 2D numerical simulation, COMSOL Multiphysics, to evaluate design efficiency. Furthermore, the proposed platform is developed and experimentally evaluated using the most common food bacterium type (Escherichia coli (E. coli)). The practical prototype is implemented using cheap technology (rigid and flexible printed circuit board technology). Experiments demonstrated that the proposed biochip could identify E. coli without the need of complex and expensive tools and with a simple manufacturing method.