Electrical Engineering
Recent Submissions
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MODELING AND STABILITY ANALYSIS OF A DC MICROGRID WITH MACHINE LEARNING TECHNIQUE
(2025 , Master Thesis)Stability is a critical aspect of any power system, including DC microgrids, as it prevents power quality issues, equipment damage, and system failures. The incorporation of multiple sources, such as Distributed Generation ... -
ENHANCING FAULT DETECTION AND LOCALIZATION IN TRANSMISSION LINES USING ARTIFICIAL NEURAL NETWORKS AND LEARNING ALGORITHMS: A COMPREHENSIVE ANALYSIS
(2025 , Master Thesis)Accurately detecting and pinpointing faults in power cable circuits presents a substantial challenge in ensuring the reliability and efficiency of electrical systems. The growing expansion of underground cable networks, ... -
CIRCULATING CURRENT MITIGATION AMONG SOURCES IN DC MICROGRID USING DISTRIBUTED SECONDARY CONTROLLERS
(2025 , Master Thesis)In the islanded mode of operation of a DC microgrid, the main objective is to achieve proportional sharing of load power among sources and to maintain the source voltage within the specified limit. The droop control technique ... -
MODEL PREDICTIVE CONTROL STRATEGY FOR LEAKAGE CURRENT REDUCTION IN PHOTOVOLTAIC SYSTEMS: A STUDY ON PUC AND CSC INVERTER TOPOLOGIES
(2024 , Master Thesis)Solar energy is one of the most commonly used sources of renewable energy. It is a clean and noiseless energy source that does not emit greenhouse gases. This thesis focuses on studying a double-stage transformerless ... -
ON APPLICATIONS OF MACHINE LEARNING IN IRS NOMA ARCHITECTURES FOR 5G AND BEYOND
(2024 , Dissertation)To foster the advancement of smart city components and the Internet of Things (IoT) applications, future wireless systems need to offer extensive system capacity, ultra-high data speeds, minimal latency, high dependability, ... -
DATA-DRIVEN OCCUPANCY DETECTION BY EMPLOYING DEEP AND TRANSFER LEARNING APPROACHES
(2023 , Master Thesis)Building occupancy information could aid energy preservation while maintaining the end-user comfort level. Energy conservation becomes essential since energy resources are scarce and human dependency on appliances is only ... -
DEEP LEARNING TECHNIQUES FOR KIDNEY DISEASE DETECTION
(2023 , Master Thesis)Around 10% of the world's population gets affected by Chronic Kidney Diseases or CKDs at some point in their lives and millions die each year due to not having access to affordable treatments and clinical facilities. During ... -
FPGA-BASED ENERGY-EFFICIENT HIGH-SPEED LDPC CHANNEL CODING SCHEME FOR CUBESAT
(2023 , Master Thesis)With the rapidly increasing demand on reliable high-speed connectivity resulting from advancements in many technologies, constellations of CubeSats present a promising opportunity to meet these demands. However, establishing ... -
CYBERSECURITY ENABLED PROTECTION AND OPTIMIZATION OF ACTIVE DISTRIBUTION NETWORKS IN SMART GRIDS
(2023 , Dissertation)The electrical grid is evolving into smart grid with the integration of renewables and the evolution of advanced information and communication technology (ICT). This enables remote monitoring and control for operators in ... -
DEVELOPMENT OF A TRANSFORMERLESS BIPOLAR PULSED-POWER OZONE GENERATOR BASED ON MODULAR BOOST CONVERTERS FOR AIR SANITIZATION
(2023 , Master Thesis)Ozone has become the oxidizing agent of choice used in several applications. Recently, ozone generation has attracted researchers' attention to achieve further development in this field. Some of the crucial applications ... -
ENHANCEMENT OF THERMOELECTRIC PROPERTIES OF LOW-TOXIC AND EARTH-ABUNDANT CHALCOGENIDES
(2022 , Master Thesis)Thermoelectricity is a promising technology that directly converts heat energy into electricity and finds its use in enormous applications. This technology can be used for waste heat recovery from automobile exhausts and ... -
THE NEXT GENERATION ECMO CANNULATION TRAINING SYSTEM
(2022 , Master Thesis)Extracorporeal membrane oxygenation cannulation (ECMO) is a life-saving procedure that temporarily replaces the cardiopulmonary system. To enable the procedure, one must apply cannulation to reroute the blood to the ECMO ... -
APPLYING VARIOUS MACHINE LEARNING METHODOLOGIES INTO THE FINANCIAL MARKET
(2022 , Master Thesis)The modernization of the financial market, with the introduction of the internet, made it easier for the average, everyday people, around the world to invest in the plentiful trading assets in the market. This created a ... -
DIAGNOSING LIVER'S LESIONS FOR MEDICAL ANALYSIS
(2022 , Master Thesis)Machine learning (ML) and computer vision techniques have grown rapidly due to their automation, suitability, and ability to generate astounding results, especially the convolutional neural network (ConvNet). In this thesis, ... -
MODELING, DESIGN, AND IMPLEMENTATION OF HIGH GAIN POWER ELECTRONIC DC-DC CONVERTERS FOR NANOGRID APPLICATIONS
(2022 , Dissertation)Nanogrids are nothing but power distribution systems that are based on renewable energy sources and are apt for low-power home applications. Nanogrids are considered to be the building cells of a Microgrid. Nanogrid is ... -
HIGH-POWER ISOLATED MODULAR DC-DC CONVERTER SYSTEM FOR HEAVY-DUTY FUEL-CELL-BASED ELECTRIC VEHICLES
(2022 , Master Thesis)Electric Vehicles (EVs) have attracted researchers' attention to further develop and enhance this strategic area. Compared with fuel-based vehicles, EVs are more demanded nowadays due to their high performance and new ... -
MACHINE LEARNING TECHNIQUES FOR MOTOR GEAR FAULT DETECTION AND DIAGNOSIS
(2022 , Master Thesis)Many industrial facilities, amongst others, are very sensitive to any sudden hazards that can be expensive and resource-costly; therefore, they should be monitored over the day. In this work, new Machine Learning (ML)-based ... -
Investigation on EV charging stations penetration on KAHRAMAA distribution network
(2021 , Master Thesis)The electrification of transport sector and the increasing demand of EV load supply from grid-connected public EV charging stations (EVCS) have imposed several challenges on the grid. Impacts include but not limited to ... -
Distance power system protection in presence of renewable energies (solar and wind)
(2021 , Master Thesis)Renewable energy become widely used in recent years in order to reduce CO2 emission, which produce from burning oil and gas to generate electrical energy. Solar and wind energies are the main types of renewable energies, ... -
IM-Based Multiple Access Techniques in 5g Networks: A Novel Scheme and Performance Analysis
(2021 , Master Thesis)In the next generations of communication systems, resources' scarcity devolves to a more critical point as a consequence of the expected massive number of users to be served. Furthermore, the users' contradicting requirements ...
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