With extensive experience in the IoT field, I have created and led several projects and courses focused on IoT technologies. These courses cover a wide range of topics, from the basics of IoT to more advanced applications, providing learners with hands-on experience in building and integrating IoT systems.
I completed my Bachelor of Science in Electrical Engineering from the University of Zagazig, Egypt, in July 2006, graduating with a 'Very Good' grade. My specialization in Computers and Systems provided me with a strong foundation in electrical engineering principles, with an emphasis on computer systems and their integration into modern technological solutions.
I received a Research Sufficiency Recognition from the Department of Electrical Engineering, Communications Electronics and Systems at the University of Oviedo, Spain, in June 2010, with an 'Excellent' grade. This recognition reflects my in-depth understanding and research capabilities in the field of electrical engineering, particularly in communications and systems.
I completed a PhD program in Process Control, Industrial Electronics, and Electrical Engineering at the University of Oviedo, Spain. My research focused on 'Position estimation and control alternatives for magnetic bearing systems,' under the guidance of directors Fernando Briz Del Blanco and Pablo García Fernández. I successfully completed the program with an 'Apt Cum Laude' grade in December 2012
After completing my PhD, I collaborated on various research projects in different technological fields. These included developing a train network simulator, capturing smart meter data via Modbus for energy monitoring, and creating a virtual reality environment for real-time visualization of solar panel status. Additionally, I contributed to a project focused on monitoring the movement and status of tractors and platforms, improving efficiency and control in industrial and logistical operations
As a Lab Assistant, I facilitated smooth laboratory operations, demonstrating precision in equipment handling and adherence to protocols. My dedication to maintaining a conducive learning environment contributed to the success of experimental endeavors.
As a Lab Assistant, I facilitated smooth laboratory operations, demonstrating precision in equipment handling and adherence to protocols. My dedication to maintaining a conducive learning environment contributed to the success of experimental endeavors.
Embark on an evolutionary exploration of digital ownership and creative expression with our NFT Application Development. This portfolio feature reveals the crossroads of advanced technology and artistic innovation, capturing the core of our dedication to reshaping the NFT landscape. Here are the key features:
1. Effortless Minting Process:
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2. Decentralized Marketplace:
Navigate a decentralized marketplace that serves as a dynamic hub for NFT enthusiasts, collectors, and creators. Conduct secure, transparent transactions and engage in the vibrant world of buying and selling digital assets.
3. Smart Contracts Integration:
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4. Customizable NFT Profiles:
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5. Interoperability with Leading Blockchains:
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In collaboration with Thyssenkrupp, I developed a platform to read data from various types of smart meters using the Modbus protocol. The platform formats the collected data and stores it in binary files for later processing. Users can view the data in real-time, either graphically or in table format. Additionally, the platform allows users to query data for specific periods, visualize it, and download it. Users can also perform comparisons between different periods, enhancing their ability to analyze and make informed decisions based on historical data.
This project focused on developing a web-based application for the analysis of DC railway networks. The system was designed as an integrated simulation framework incorporating various elements such as a server, databases, and visual analytic tools, all built using open-source software. The application enables users to design DC railway feeding systems and analyze the impact of different components, including vehicles, substations, overhead feeding systems, and both on-board and wayside energy storage systems. While initially developed for DC railway networks, the framework’s flexible structure and tools can be adapted for other railway and electrical transportation systems, making it a versatile solution for transport infrastructure analysis.
Travel Mobile App Design
DC Railway Simulation and Analysis
NFT App Development
In web development, my skills shine through with proficiency in front-end technologies like HTML, CSS, and JavaScript. I also excel in back-end frameworks such as Node.js and databases. My expertise allows me to create seamless, responsive web applications with a strong user-focused approach
In mobile development, I demonstrate prowess in crafting robust, user-friendly apps for both iOS and Android platforms. With proficiency in programming languages such as Swift and Kotlin, I deliver seamless mobile solutions, ensuring an optimal user experience.
In UI/UX design, my creativity and user-centered approach result in captivating and intuitive interfaces. With a strong foundation in user research and wireframing, I transform ideas into visually appealing and highly functional digital experiences that engage and delight users.
In web development, my skills shine through with proficiency in front-end technologies like HTML, CSS, and JavaScript. I also excel in back-end frameworks such as Node.js and databases. My expertise allows me to create seamless, responsive web applications with a strong user-focused approach
In mobile development, I demonstrate prowess in crafting robust, user-friendly apps for both iOS and Android platforms. With proficiency in programming languages such as Swift and Kotlin, I deliver seamless mobile solutions, ensuring an optimal user experience.
In UI/UX design, my creativity and user-centered approach result in captivating and intuitive interfaces. With a strong foundation in user research and wireframing, I transform ideas into visually appealing and highly functional digital experiences that engage and delight users.
The work presented in this paper describes a multi-issue negotiation protocol between active consumers and a management platform in order to establish load coordination in a highly congested network. The multi-issue negotiation protocol considers simultaneously the consumption interval, the price, and the size of the energy packages, which is the main contribution of this work . Regarding the implementation methodology, the proposed algorithms have been implemented using MATLAB classes that allow emulating the behaviour of a multi-agent system in which each vehicle is an agent that interacts with the platform, which is another agent. In the present work, and without loss of generality, the algorithm is applied to coordinate the charging of electric vehicles (EVs) in a distribution network in which building loads represent critical loads. The algorithm is tested in a realistic environment, and its stability and performance are evaluated. Furthermore, the description of the algorithm is provided in a generic form, and it could be applied to any other scenario.
Simulation tools are essential to design the infrastructure and plan the trains operations of electrical railway systems. Traditionally, the train model (that estimates the electrical, mechanical and kinematical behaviors of the vehicles) and electrical network model (that estimates the electrical behavior of the energy supply network) are developed separately. Then, they are simulated together to estimate the interactions between both subsystems. The paper objective is to compare different models to highlight the impacts on the interactions between the vehicles and the railway electrical network, which are crucial to have accurate estimations of the system behavior. For this purpose, a new dynamical model, which is based on a systemic approach and a causality analysis, is compared to a conventional static model, which is based on a cartesian approach and a power flow analysis. The dynamical model is accurate and has been experimentally validated but requires a long computational time. The static model is fast to compute and give a good estimation of the energy consumption for conventional railway systems. However, it is not always able to estimate the power flows within the DC network, and especially when all traction power substations are blocked.
In this paper, a simplified model of a 2 × 25 kV bi-level traction power system for feeding high-speed trains is presented. A modified nodal analysis (MNA) based algorithm for solving the system with and adaptive damping factor is also explained. The main novelties of this paper are the inclusion of train protections (over-current and over-voltage) in the model and the development of the MNA solving procedure that increases the stability and robustness of the iterative solving process. Another important feature of the model is that it can be easily adapted to a single voltage feeding systems by deactivation of specific parameters. The accuracy and performance of the proposed simulator is compared and verified relative to the derivative based solvers.
In this paper, a decoupled model of a train including an on-board hybrid accumulation system is presented to be used in DC traction networks. The train and the accumulation system behavior are modeled separately, and the results are then combined in order to study the effect of the whole system on the traction electrical network. The model is designed specifically to be used with power flow solvers for planning purposes. The validation has been carried out comparing the results with other methods previously developed and also with experimental measurements. A detailed description of the power flow solver is beyond the scope of this work, but it must be remarked that the model must by used with a solver able to cope with the non-linear and non-smooth characteristics of the model. In this specific case, a modified current injection-based power flow solver has been used. The solver is able to incorporate also non-reversible substations, which are the most common devices used currently for feeding DC systems. The effect of the on-board accumulation systems on the network efficiency will be analyzed using different real scenarios.
This paper presents a comprehensive set of steady-state models to be included in power flow simulation studies of dc railway networks. This simulation framework covers all important aspects and features of each element of modern dc railways. The proposed models are simplified to achieve the maximum simulation speed while keeping the required accuracy. Not only nonreversible, controlled, and uncontrolled reversible substations are considered, but also onboard and offboard accumulation systems. The train model can consider the low network receptivity (overvoltage protection for trains equipped with regenerative braking) and overcurrent protection. It is also possible to include in the simulation dc/dc links between nodes of the railway network at the same or different voltage. To date, there is no other work able to conjugate all the mentioned models in a complex multitrain scenario.
In this paper, a new procedure based on a backward/forward sweep (BFS) algorithm for solving power flows in weakly meshed dc traction networks is presented. The proposed technique is able to consider the trains as nonlinear and nonsmooth (nondifferentiable) voltage-dependent loads or generators. This feature permits the inclusion of the trains' overcurrent protection and the squeeze control. With the use of the mentioned controls, the conventional power flow problem becomes a voltage constrained power flow problem, and the interaction between the trains and the network can be accurately modeled. However, the train control induces a highly nonsmooth voltage-dependent load characteristic, causing convergence problems in most of the derivative-based algorithms. The proposed algorithm is faster, more robust, and more stable than the derivative-based ones. In addition, the authors present all of the formulation in a compact matrix-based form by means of the graph theory application and the node incidence matrix.
This paper analyzes two types of effects caused by the fundamental current in saliency-tracking-based techniques for sensorless control of three-pole active magnetic bearings, i.e., saturation and insufficient spectral separation of the fundamental current command during transients. Injection of a high-frequency signal superimposed to the fundamental excitation providing active control allows the measurement of changes in the air gap, from which an estimation of the rotor position can be obtained. Interference of the fundamental current, which is needed to operate the magnetic bearing, with the high-frequency current can occur through two mechanisms: 1) saturation; and 2) high-frequency harmonics caused by fast transients of the fundamental current. Both phenomena can interfere with the sensorless control resulting in a decrease in its performance. The effects caused by the fundamental current on the negative-sequence high-frequency current, used as a position estimation signal, are studied, and a decoupling mechanism is proposed. An analysis of high-frequency leakage flux is presented. and a simple analytical model is developed for describing the aforementioned phenomena. Finite-element analysis of the magnetic bearing under fundamental excitation, as well as experimental verification, is used to validate the analytical findings.
In the realm of customer service, our research papers delve into the creation and testing of an intelligent virtual assistant. The initial phase illuminates the meticulous design process, integrating advanced algorithms and user-centric principles. This user interface-focused exploration ensures not only technological sophistication but also a seamless and satisfying interaction for end-users.
Moving forward, our papers unveil the rigorous testing procedures applied to evaluate the virtual assistant's efficacy and reliability. From simulated scenarios to real-world applications, this research offers a comprehensive perspective on the transformative potential of intelligent virtual assistants in revolutionizing and elevating customer service experiences.
Within the educational landscape, our research endeavors to unravel the multifaceted role of technology in shaping modern learning experiences. The first segment scrutinizes the integration of technology in educational settings, examining its influence on pedagogical approaches and classroom dynamics. By exploring the synergies between traditional teaching methods and technological innovations, we aim to shed light on the evolving nature of education in the digital age.
Transitioning to the second phase, our research meticulously assesses the impact of technology on student learning outcomes. Through comprehensive analysis and empirical studies, we aim to delineate the nuanced effects technology has on cognitive development, academic achievement, and overall educational attainment. Join us in this exploration of how technology is not merely a tool but a transformative force, redefining the very essence of learning and paving the way for a technologically enriched educational future.
Embark on a journey through the intricate landscape of fraud detection and prevention with our research papers, as we delve into the transformative potential of artificial intelligence (AI) and machine learning. The first segment scrutinizes the foundational principles of AI and machine learning algorithms, revealing their capacity to discern patterns and anomalies within vast datasets. Unveiling the synergistic alliance between technology and the fight against fraud, our exploration underscores the dynamic capabilities that AI brings to the forefront of security strategies.
As we navigate deeper into the realm of fraud prevention, the subsequent papers unravel the practical applications of AI and machine learning in real-world scenarios. From adaptive fraud models to predictive analytics, our research showcases the efficacy of these technologies in staying one step ahead of evolving fraudulent tactics. Join us in deciphering how AI and machine learning stand as powerful allies in the ongoing battle against fraud, reshaping the landscape of security protocols with their proactive and adaptive capabilities.
The future of electric vehicles (EVs) looks bright, as more and more consumers are choosing to switch to electric power and governments and businesses are investing in the development of charging infrastructure.
One potential area of growth for EVs is in the development of autonomous vehicles, which are vehicles that are able to operate without the need for a human driver. Autonomous EVs have the potential to significantly improve safety and efficiency on the roads, and they are already starting to be tested in a variety of settings.
Another potential area of growth for EVs is in the development of new battery technologies. Current EV batteries have a limited range and can be expensive, which can be a barrier for some potential buyers. However, researchers are working on developing new battery technologies that are more energy-dense, longer-lasting, and more affordable, which could make EVs more appealing to a wider range of consumers.
Additionally, the growth of EVs is likely to be supported by an expansion of the charging infrastructure. As more and more EVs are sold, the demand for charging stations will increase, which will drive the development of new charging technologies and the expansion of the existing charging network.
Overall, the future of EVs looks bright, as new technologies and innovations continue to emerge and more consumers and businesses recognize the benefits of electric power.
Blockchain technology is a decentralized and distributed ledger system that has gained widespread attention for its potential to revolutionize various industries. Unlike traditional centralized databases, blockchain stores data in a tamper-resistant, chronological chain of blocks. In this discussion, we will explore the fundamental concepts of blockchain, its applications beyond cryptocurrencies, and some of the challenges it faces.
At its core, a blockchain is a chain of blocks, each containing a batch of transactions. These blocks are linked together using cryptographic hashes, ensuring the integrity of the data. Once a block is added to the chain, it becomes virtually immutable, making it highly secure against tampering. Blockchains can be public, allowing anyone to participate, or private, with restricted access. Key features include decentralization, transparency, and consensus mechanisms like Proof of Work (PoW) or Proof of Stake (PoS).
While blockchain's initial application was in cryptocurrencies like Bitcoin, its potential extends far beyond digital money. It is increasingly used in various sectors such as supply chain management, where it enhances transparency and traceability. Blockchain also finds applications in identity verification, enabling individuals to have control over their personal information. Smart contracts, self-executing agreements with predefined rules, automate processes in fields like legal and finance. Moreover, blockchain can facilitate voting systems, reducing fraud and increasing trust in elections.
Despite its promise, blockchain faces several challenges. Scalability is a significant concern, as increasing the number of transactions can slow down networks and raise costs. Energy consumption, especially in PoW-based blockchains, has drawn criticism for its environmental impact. Regulatory and legal issues also pose challenges, as governments grapple with how to regulate this technology. Additionally, blockchain is still evolving, and standards for interoperability and security need further development.
Blockchain technology is still in its early stages, but its potential to disrupt industries is evident. As scalability and energy efficiency improve, and regulatory frameworks mature, blockchain adoption is likely to grow. Interoperable blockchain networks could enable seamless data sharing, and advancements in consensus mechanisms could enhance efficiency and security. In the future, blockchain may become an integral part of various sectors, transforming how data is stored, shared, and verified.
In conclusion, blockchain technology has emerged as a powerful innovation with the potential to reshape industries beyond cryptocurrencies. Its fundamental principles of decentralization and transparency offer solutions to long-standing challenges in data management and trust. While challenges persist, ongoing research and development efforts are paving the way for blockchain's integration into diverse applications, making it a technology to watch in the coming years.
Quantum Computing is a cutting-edge field that explores the use of quantum-mechanical phenomena to perform computations. Unlike classical computers that use bits as the fundamental unit of information, quantum computers use quantum bits or qubits, which can exist in multiple states simultaneously due to the principles of superposition and entanglement. In this discussion, we will explore the fundamentals of quantum computing, its potential applications, and some of the challenges it faces.
Quantum Computing Fundamentals:
Quantum computers leverage the unique properties of qubits to perform calculations at a scale that classical computers cannot achieve. Superposition allows qubits to represent both 0 and 1 simultaneously, and entanglement enables the state of one qubit to be dependent on the state of another, even if they are physically separated. Quantum gates manipulate these qubits to perform operations, and quantum algorithms harness these properties for solving specific problems more efficiently.
Potential Applications:
Quantum computing holds immense promise in various domains, including cryptography, optimization, drug discovery, and materials science. One notable application is in breaking current encryption methods, which could have both positive and negative implications for cybersecurity. Quantum computers can also revolutionize supply chain optimization, simulate quantum systems accurately, and discover new materials with extraordinary properties. These applications have the potential to reshape industries and scientific research.
Challenges in Quantum Computing:
Despite its potential, quantum computing faces several significant challenges. One key challenge is maintaining the stability of qubits. Qubits are highly susceptible to environmental factors like temperature and electromagnetic radiation, making error correction a daunting task. Developing error-correcting codes and stable qubit technologies is crucial for practical quantum computing. Moreover, building scalable quantum hardware remains a considerable engineering challenge, with quantum computers today being in their infancy.
Quantum Computing and the Future:
The growth of quantum computing is inevitable, and its impact on various industries will be profound. Organizations and researchers are racing to develop quantum hardware, algorithms, and applications. Quantum supremacy, the point at which quantum computers surpass classical computers in specific tasks, is an exciting milestone on this journey. As quantum technologies mature, we can anticipate transformative breakthroughs in cryptography, optimization, and scientific discovery, ushering in a new era of computing and problem-solving.
In conclusion, quantum computing represents a revolutionary shift in the world of computation. Its unique properties and potential applications make it a highly promising field, although it is still in the early stages of development. Overcoming the challenges associated with quantum computing will be essential for realizing its full potential and reshaping various industries in the years to come.
DevOps and Continuous Integration/Continuous Deployment (CI/CD) are two closely related practices that have revolutionized software development and deployment processes in recent years. They represent a paradigm shift in how software is built, tested, and delivered, enabling organizations to achieve faster release cycles, higher quality software, and improved collaboration between development and operations teams. In this discussion, we will delve into the core principles and benefits of DevOps and CI/CD, their role in modern software development, and some best practices for implementing them effectively.
DevOps is a cultural and technical approach that emphasizes collaboration, communication, and integration between software development (Dev) and IT operations (Ops) teams. It aims to automate and streamline the entire software development lifecycle, from code development to production deployment. DevOps encourages a shared responsibility for the entire process, breaking down silos that often exist between these traditionally separate teams. Key principles include automation, continuous monitoring, and a focus on delivering value to the end-users.
Continuous Integration (CI) is a crucial component of DevOps. It involves the practice of frequently integrating code changes into a shared repository, where automated tests are run to ensure that new code does not introduce defects or break existing functionality. CI helps catch and fix issues early in the development process, reducing the likelihood of integration problems later on. It promotes a culture of frequent, small code changes and collaboration among developers.
Continuous Deployment (CD) takes CI a step further by automating the deployment process to production or staging environments after successful integration and testing. This means that every code change that passes CI tests is automatically deployed, reducing manual intervention and minimizing the time between writing code and delivering it to users. CD allows organizations to release new features and bug fixes rapidly, improving user satisfaction and competitive advantage.
The adoption of DevOps and CI/CD offers numerous benefits to organizations. These include faster time-to-market, increased software quality and reliability, reduced manual errors, improved collaboration among teams, and the ability to respond quickly to changing market demands. Additionally, DevOps and CI/CD provide greater visibility into the development and deployment process, enabling better tracking and management of software projects.
DevOps and CI/CD are transformative practices that have become essential in the software development landscape. They enable organizations to build, test, and deploy software more efficiently, with higher quality and faster release cycles. By fostering collaboration between development and operations teams and automating key processes, DevOps and CI/CD help organizations stay competitive in a rapidly evolving digital world. Embracing these practices is not only a technological choice but also a cultural shift that can drive innovation and business success.