Electrical Engineering
Recent Submissions
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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 ... -
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 ... -
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, ... -
Two-Timescale Multi-Objective Volt/Var Optimization Considering Distributed Energy Resources In Active Distribution Networks
(2021 , Master Thesis)The high penetration of distributed energy resources (DERs) introduces several challenges to the power network. They may cause a high level of voltage variation, sudden over/under-power generation, high power losses, and ... -
Quasi impedance source based high power medium voltage converter for grid integration of distributed energy sources
(2021 , Dissertation)The next generation of Power Electronics systems would need to be able to work at higher power levels, higher switching frequencies, compact size, and higher ambient temperatures, as well as should have improved energy ... -
Home energy management system embedded with a multi objective demand response optimization model to benefit customers and operators
(2021 , Master Thesis)This thesis aims to develop a Home Energy Management System (HEMS) that optimizes the load demand and distributed energy resources considering utility price signal, customer satisfaction, and distribution transformer ... -
Deep ConvNets for COVID-19 Recognition from Chest X-Rays
(2021 , Master Thesis)Coronavirus disease 2019 (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS)-CoV and Middle East Respiratory Syndrome (MERS)-CoV, which outbreak in ... -
IEEE 802.11AX based medium access design for wireless IOT-blockchain network
(2021 , Master Thesis)Blockchain has emerged as a potential solution to security concerns over decentralized networks, and communication is the basic essence of the blockchain network and must be carefully planned while integrating with Internet ... -
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, ...
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