GHADA G A AMER | Benha University (original) (raw)

GHADA G A AMER

Professor Ghada M. Amer is a prominent figure in the realms of information technology and engineering, currently serving as the CEO of the Middle East Information Technology Company. With a deep commitment to education and technological innovation, she also holds the position of Professor of Power Engineering and Smart Systems, in addition to being a Fellow and Technology Lecturer at the Nasser Military Academy for Graduate Studies.

Throughout her distinguished career, Dr. Amer has occupied several prestigious roles, including Technical Ambassador for the Egyptian Space Agency, Head of the Center for Strategic Studies for Science and Technology, and Vice President of the Arab Science and Technology Foundation. Her academic leadership is notable; she has served as Dean of the Faculty of Engineering at Misr University for Science and Technology, Vice Dean for Graduate Studies and Research at Benha University, and Director of the Center for Innovation and Entrepreneurship at both the Academy of Scientific Research and Benha University. She has also been the Executive Director of Global Endowments and previously led the Department of Electrical Engineering at Benha University.

Dr. Amer's remarkable contributions to engineering and technology have earned her international acclaim. She was recognized as one of the inspiring stories of women in engineering and technology in Africa by the International Federation of Engineering Education Societies (IFEEES) and the Global Engineering Deans Council, featured in the book “Rising to the Top in STEM” for 2021-2022. In January 2014, she was named one of the “Top 20 Most Influential Muslim Women Scientists in the World” by Muslim-Science magazine, and in 2015, she received the title of “Person of the Year.” Additionally, Dr. Amer was ranked first in the “Top 50 Most Influential Arab Women Entrepreneurs” in 2014 by Sayidaty magazine and recognized as one of the “500 Most Influential Muslims in 2016” in science and technology by the Royal Islamic Strategic Studies Center.

In 2023, her research on advanced technology and artificial intelligence, particularly concerning national security, led to her appointment as a member of the advisory board for the “National Security and Strategy” magazine issued by the Military Academy for Graduate Studies and Strategy.

Dr. Amer's academic portfolio includes over 62 published scientific papers in high-impact journals and five books focusing on the role of technology in asymmetric warfare. She has supervised more than 30 PhD and fellowship research papers at the Military College for Graduate and Strategic Studies, concentrating on modern technology's implications for national security. Her thesis for the National Defense College Fellowship at the Nasser Higher Military Academy explored the impact of technology on asymmetric warfare, specifically “Wars of the Future.”

In addition to her extensive work, she is a member of the Advisory Committee for the International Conference on Scientific Communications ITC EGYPT 2024, the Egyptian Military Academy - Air Defense College 2024, and the Electrical Engineering Division of the Engineers Syndicate in Egypt. She also serves on the Editorial Board of "The Open Access Journal of Computer Science and Engineering" and is part of the Arbitration Committee for Electrical Power and Machines Engineering for the Promotion of Professors and Assistant Professors at the Supreme Council of Universities, Egypt.

An active advocate for social and economic development through scientific research and innovation, Dr. Amer has volunteered with the Arab Science and Technology Foundation since 2009, where she has developed and led over 20 projects aimed at promoting scientific advancement and entrepreneurship. Her efforts have successfully raised more than $2 million to support research and innovation initiatives that create jobs and strengthen the Arab community.

Professor Ghada M. Amer continues to inspire future generations of engineers and technologists through her dedication to education, research, and community development.
Address: Giza - 6th October

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Papers by GHADA G A AMER

Mathematics

Recent technologies such as artificial intelligence, machine learning, and big data are essential... more Recent technologies such as artificial intelligence, machine learning, and big data are essential for supporting healthcare monitoring systems, particularly for monitoring Monkeypox confirmed cases. Infected and uninfected cases around the world have contributed to a growing dataset, which is publicly available and can be used by artificial intelligence and machine learning to predict the confirmed cases of Monkeypox at an early stage. Motivated by this, we propose in this paper a new approach for accurate prediction of the Monkeypox confirmed cases based on an optimized Long Short-Term Memory (LSTM) deep network. To fine-tune the hyper-parameters of the LSTM-based deep network, we employed the Al-Biruni Earth Radius (BER) optimization algorithm; thus, the proposed approach is denoted by BER-LSTM. Experimental results show the effectiveness of the proposed approach when assessed using various evaluation criteria, such as Mean Bias Error, which is recorded as (0.06) using BER-LSTM. T...

IEEE Access

One of the main challenges facing the current approaches of speech emotion recognition is the lac... more One of the main challenges facing the current approaches of speech emotion recognition is the lack of a dataset large enough to train the currently available deep learning models properly. Therefore, this paper proposes a new data augmentation algorithm to enrich the speech emotions dataset with more sam Department, College of Computing and ples through a careful addition of noise fractions. In addition, the hyperparameters of the currently available deep learning models are either handcrafted or adjusted during the training process. However, this approach does not guarantee finding the best settings for these parameters. Therefore, we propose an optimized deep learning model in which the hyperparameters are optimized to find their best settings and thus achieve more recognition results. This deep learning model consists of a convolutional neural network (CNN) composed of four local feature-learning blocks and a long short-term memory (LSTM) layer for learning local and long-term correlations in the log Mel-spectrogram of the input speech samples. To improve the performance of this deep network, the learning rate and label smoothing regularization factor are optimized using the recently emerged stochastic fractal search (SFS)-guided whale optimization algorithm (WOA). The strength of this algorithm is the ability to balance between the exploration and exploitation of the search agents' positions to guarantee to reach the optimal global solution. To prove the effectiveness of the proposed approach, four speech emotion datasets, namely, IEMOCAP, Emo-DB, RAVDESS, and SAVEE, are incorporated in the conducted experiments. Experimental results confirmed the superiority of the proposed approach when compared with state-of-the-art approaches. Based on the four datasets, the achieved recognition accuracies are 98.13%, 99.76%, 99.47%, and 99.50%, respectively. Moreover, a statistical analysis of the achieved results is provided to emphasize the stability of the proposed approach. INDEX TERMS Speech emotions, deep learning, stochastic fractal search optimization, guided whale optimization algorithm.

Integrating numerous renewable resources has been extensively researched and studied to create a ... more Integrating numerous renewable resources has been extensively researched and studied to create a dependable energy system. This study investigated the best techno-economical hybrid energy system configuration while using hydrogen energy to keep the system's energy balanced. Additionally, this study aims to determine the best hybrid system configuration for the location under investigation. A novel technique of DBM (Deterministic Balanced Method) was introduced to determine the total annual energy output for the project's lifetime. This approach is used to contrast the outcomes of other HOMER software tools. Then, using HOMER, it is possible to confirm the sizing optimization results for the suggested method by comparing the power ratings and yearly energy output. A detailed comparison between our proposed method and HOMER Pro has been conducted for validation and verification. Our method has been rigorously tested in various hybrid off-grid energy systems, ensuring its applicability and reliability across different scenarios and configurations. The results of our study indicate a high degree of similarity between the proposed approach and HOMER pro for computing annual energy power for the studied energy systems. Specifically, our analysis revealed that the difference between the approaches was within a range of 5%, indicating a high level of consistency and reliability in our method. These findings suggest that our approach can be confidently applied to determine the appropriate size of hybrid energy systems accurately. Overall, our study provides valuable insights into the development of effective sizing methodologies for hybrid energy systems. After considering the amount of solar radiation and wind speed gathered by global weather data platforms like NASA and METEONORM, this paper has also included a real case study of the Cairo International Airport's hybrid renewable energy production systems. To guarantee the viability of this study, the system design was founded on an actual load that was researched and simulated. A cluster of distributed networks was finally proposed to use the excess energy and enable energy conversion processes to be used in industry and transportation applications.

Zenodo (CERN European Organization for Nuclear Research), Oct 29, 2021

International Journal of Innovative Technology and Exploring Engineering, 2020

Due to the gigantic power quality (PQ) demands for modern systems, power systems fault detection ... more Due to the gigantic power quality (PQ) demands for modern systems, power systems fault detection and diagnosis have become a significant issue. For this aim, it’s very important to detect the fault at early time and determine its location through any signal. Several methods and techniques are applied to solve this problem such as discrete wavelet transform (DWT). Although DWT has the ability of fast time detection of the fault, it has a problem to discriminate between faulty and noisy signals. DWT succeeds to extract features from altered transient disturbances, but it fails to differentiate between transient disturbances due to healthy or noisy signals. Fusion between DWT for its speed and radial basis function for its accuracy is done. The fusion technique used has a major disadvantage of its delay time as the fault can be detected after the exact location with several samples. In this paper new technique will be proposed to overcome the DWT and data fusion method problems, to ach...

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 2007

Ethnicities, 2006

Paul Brass' latest book The Production of Hindu-Muslim Violence in Contemporary India (2003) is a... more Paul Brass' latest book The Production of Hindu-Muslim Violence in Contemporary India (2003) is an extraordinary work that sums up almost 40 years of research on politics, religious identities and violence in northern India. Focusing on the politics of Hindu-Muslim relations in one city in Uttar Pradesh-Aligarh-over the entire post-Independence era, Brass argues that riots are permanent features of Indian politics, produced and staged by 'institutionalized riot systems'. Condemning and bemoaning riots and casualties have become part of India's modern political culture-as much as the riots themselves. Brass's introductory chapter takes aim at what he sees as the unsatisfactory and, ultimately, mystifying explanations that have been advanced in explaining riots. 'Naturalizing' accounts portray riots as inevitable eruptions of anger between communities divided by deep and incommensurable differences. Others view riots as pathologies of Indian political life, resulting from the cynical manipulation of religious passions by criminal business people and ill-intentioned politicians focused on short-term electoral gains. These explanations, Brass argues, not only obscure the processes at work; they are complicit in the very regime of interpretation that perpetuates riots. Portraying them as either 'justified' or as short lived 'aberrations', these explanations fail to recognize the integral, normalized roles riots play in political competition and communal organization in large parts of India.

2014 24th International Conference on Computer Theory and Applications (ICCTA), 2014

Low frequency oscillations (LFOs) have a dramatic effect on small signal stability of a power sys... more Low frequency oscillations (LFOs) have a dramatic effect on small signal stability of a power system. As power system started to operate near its stability limits, LFOs might lead to system instability. Power system stabilizers (PSSs) are provided with automatic voltage regulator to damp such effects. In this paper, an interval type-2 fuzzy logic power system stabilizer (IT2FLPSS) is proposed as a stability enhancements of a single machine power system connected to the infinite bus. In addition, a conventional power system stabilizer (CPSS) has been introduced, both CPSS and IT2FLPSS results’ were compared at different disturbance scenarios to show the improvements added to the system when using IT2FLPSS. MATLAB/SIMULINK programs are proposed to illustrate system performance at all proposed scenarios.

DESCRIPTION Now days the electromagnetic field effects on the human beings have been progressing ... more DESCRIPTION Now days the electromagnetic field effects on the human beings have been progressing on several fronts. In this paper experimental work is done on two groups of rats to investigate the biological effects of the magnetic fields. The results include analysis of the rats group under blood level of SGOT of exposed group is higher than control group and this can affect liver, muscle tissue, kidneys, heart and red blood cells. Scaling between experimental animals and human is carried out.

This paper introduces a comparative study between conventional speed controllers of DC motor and ... more This paper introduces a comparative study between conventional speed controllers of DC motor and an artificial intelligent speed controller showing the advantages of artificial intelligent controller over the conventional ones. All conventional controllers are implemented practically using a data acquisition card. Practical results are compared with simulation results for conventional controllers. Design of artificial neural network controller is presented in this paper, the DC motor can be made to follow any arbitrarily selected speed, and the purpose is to achieve a fast and accurate speed controller.

Journal of Computing and Communication, 2022

The rising number of home devices, as well as the differences in technology between them (smart a... more The rising number of home devices, as well as the differences in technology between them (smart and traditional), are the causes of the difficulty in balancing the use of energy in the home. Furthermore, increased demand for energy often leads to pressure on electricity networks and utilities, which leads to interruptions or disruptions of services caused by peak load. All these factors contribute to the adoption of energy management systems to control and reduce usage and automatically monitor the usage of home devices. When consumption is controlled, it is beneficial to customers and electricity companies when demand is reduced at peak times.This research will present a prototype for an energy management system to control and monitor the usage of devices in the home, and automatic control utilizing MATLAB simulation and implementation employing a Microcontroller to assess Demand Response.The suggested algorithm would manage consumption to reach the lowest usage possible to decrease the monthly bill, reduce peak load based on customer priority, and ensure that the consumption does not exceed the specified value. The algorithm's accuracy is demonstrated by several situations of consumption in the home, where the algorithm was able to lower consumption by up to 39.5% when compared to consumption without utilizing the suggested algorithm.

Increasing generated power of PV panels is a major issue. Solar reflectors could be one of the ch... more Increasing generated power of PV panels is a major issue. Solar reflectors could be one of the cheapest and easiest ways to increase that power. It's lower in cost than adding more solar PV panels. By modeling a Simulink-MATLAB test module, to be derived from the real input factors. The measured and (estimated by calculations) components of irradiance are important for PV system modeling, and a dataset of hourly dropped irradiance, and some other meteorological records were collected from February 2013 till the time of writing this paper. This paper presents the differences in the power ratio of the 3 types of PV modules before and after applying reflecting panels, the type of commercial reflector is (semi-diffuse, flexible reflector made of an aluminized PET laminate). The values of short circuit current Isc and open-circuit voltage Voc were measured under different conditions. Data can be used to validate the comparison between the theoretical and real calculations of the outp...

Abstract: Biological effects of electromagnetic fields on the human body, animals and plants have... more Abstract: Biological effects of electromagnetic fields on the human body, animals and plants have been a subject of scientific interest and public concern for their risk on the living organisms such as blood leukemia and others. The high voltage transmission and distribution lines, which pass beside some houses, factories and schools are source of electromagnetic fields. This paper presents the field calculations around and near of high voltage transmission lines 220 kV and 500kV. To calculate the induced current, the power density, the electric field and the magnetic field of grounded and ungrounded human body cylindrical model are used. MATLAB program package is used for mathematical calculation of the distribution of the EMF in human body under high voltage power transmission lines.

In this paper simplified approaches for the earth surface potentials and GPR of substation ground... more In this paper simplified approaches for the earth surface potentials and GPR of substation grounding are presented in case of uniform or non-uniform soil. The equalization of current density and then decreasing of GPR is achieved. The image method is suggested to calculate the GPR and the earth surface potentials with accurate results for the grids buried in uniform or non-uniform soil structure. The voltage profiles have been designed in 3D to make the selection of suitable earthing system easier. The grounding system earth surface potential under transient condition is investigated

2020 International Conference on Electrical and Information Technologies (ICEIT), 2020

Hybrid off-grid system based on hydrogen systems is investigated in this paper to schedule the op... more Hybrid off-grid system based on hydrogen systems is investigated in this paper to schedule the operations of fuel cell and electrolyzer. The frequent switching operations of the studied components results in diverse impacts on the lifetime of components and thus affects the economic study of the project due to frequent maintenance and replacements. Various control techniques have been studied and conducted to fully optimize the switching operations without affecting the energy production produced by the system. Fuzzy logic algorithm is used in this paper to conduct a generic model for the controlled behavior of the fuel cell and electrolyzer operations during the day. This proposed control system maintains the maximum utilization of the available surplus power with respect to the constraints of energy storage in the system. The study was applied for a hybrid solar PV/wind turbines/hydrogen system in Cairo international Airport to supply a community load of 4980 kWhr/day.

This paper describes analysis study on some factors, which affecting the back flashover across th... more This paper describes analysis study on some factors, which affecting the back flashover across the insulator in a transmission system. Parameters of this study include the modeling of transmission line tower, the modeling of tower footing ground system, magnitude of lightning stroke, front and tail times of lightning stroke impulse, and striking distance. All components of the system, which is under study, are simulated by using ATP program.

A technical analysis based on modeling, simulation, optimization and verification was conducted f... more A technical analysis based on modeling, simulation, optimization and verification was conducted for the design of an off-grid hybrid solar PV/hydrogen system. The main objective is to make sizing optimization of the off-grid system to meet the desired electric load of a residential community in a studied region. Additionally, the goal of this study is to have a 100% renewable fraction penetration in the energy mix resulting in a zero percentage of the greenhouse gas emissions and lowering the cost of energy from power systems and verifying the design concept using SAM (System Advisor Model). The effect of meteorological data inputs for the hybrid off-grid system was investigated in Cairo international Airport zone. The distributed power generation in this paper was using solar PV and Fuel Cell energy systems integrated with electrolyzer and hydrogen tank where the main resource for production is the PV modules so that it satisfies the load demand during the peak sun hours and supply...

Grounding system is one of the most important items of the power plants and substation systems de... more Grounding system is one of the most important items of the power plants and substation systems design. The main purpose of power system substation grounding grids is to maintain reliable operation and provide protection for personnel and equipment during fault conditions. In any substation planning, economical and effective grounding system plays an essential role since absence of effective grounding grid can result in mal-operation of protective devices and hazardous for operators and substation equipment. Therefore, in this paper, the evolutional technique for unequally spaced grounding grid design is suggested. The design is based on hybridization of optimum compression ratio (OCR) and particle swarm optimization (PSO) techniques. This approach is purposed to control the grounding copper volume of the grounding system with the aid of controlling of unequally spaced grounding conductor lengths with respect to the safety measures. The proposed technique offers almost 20% of copper ...

2017 Nineteenth International Middle East Power Systems Conference (MEPCON)

This paper proposes a novel fault identification algorithm for an electrical multi-terminals netw... more This paper proposes a novel fault identification algorithm for an electrical multi-terminals network. The Discrete Wavelet Transform (DWT) is used to decompose current signals. The purposed algorithm designs to be algorithm able to detect and classify various fault types at any point on the multi-terminals system. Using the current signals only that are captured from single ended of multi-terminals configuration, which consists of three terminal circuits. The ATP/EMTP simulator is developed to evaluate the capability of the proposed algorithm. In addition, the proposed algorithm is applied to simulated parameters that are taken from Egyptian electrical grid, which comprises of three terminal circuits connected as ring configuration. Also, it considered the future installation of El Dabaa nuclear power station. The proposed algorithm achieves accurate results under numerous conditions such as different fault resistances, locations and inception angles.