Department of Electrical Engineering (BUES): Recent submissions

  • Resource Management of UAVs in 6G Network 
    Anisa Zafar, 01-244202-027 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)
    Ground-based communication infrastructure is often damaged by natural disasters, disrupting the network connectivity, making it diffcult for effcient rescue and relief operations. In such scenarios, unmanned aerial vehicles ...
  • Spectrum Allocation Techniques for 6th Generation Dense and High Data Rate Wi-Fi Networks 
    Abdul Rehman, 01-281172-004 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)
    Wireless Local Area Networks (WLANs), commonly referred to as Wi-Fi, serve the increasing demands of data-centric Internet applications. The IEEE 802.11ax standard, also known as Wi-Fi 6, introduces the High-Effciency WLAN ...
  • Emitter Identification and De Interleaving Using AI 
    Kaniz Fatima, 01-244232-003 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    In modern electronic warfare and spectrum monitoring scenarios, the increased complexity of electromagnetic spectrum has posed serious challenges for early warning receivers. One of the most critical tasks is to identify ...
  • UAV Assisted Radio Resource Allocation in 6G Enabled V2X Networks 
    Chaudhry Abdur Rehman Shahid, 01-244232-002 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    In order to satisfy the growing demands of developing intelligent transportation systems (ITS), the wireless communication landscape is changing quickly. For real-time vehicular applications, users now need connectivity ...
  • Airborne Non-Terrestrial Networks and Reconfigurable Intelligent Surfaces-Aided 6G Communication 
    Uzair Tehsin, 01-244232-008 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    Sixth generation (6G) networks, the next wave of wireless communication, are anticipated to link billions of Internet of Things (IoT) devices with reliable coverage, fber-like data rates, and energy-efficient operation. ...
  • Design of Modular Multilevel Converter for Enhancement of Electrical Energy Efficiency in Smart Grid System 
    Fazal Muhammad, 02-281191-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    Power distribution networks frequently experience power quality issues due to transient voltage sag originating from the upstream grid. Voltage sag is one of the major concerns of modern industry, as it can interrupt ...
  • Design of An Ultra-Low-Power Bluetooth Low-Energy Receiver Front end Building Blocks 
    Muhammad Faisal Siddiqui, 02-281172-002 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    This research presents the design and optimization of a 2.4 GHz inductor-less, ultralow-power radio frequency (RF) front-end tailored for Internet of Things (IoT) applications, featuring a Gilbert double-balanced mixer, a ...
  • Blockchain Enabled Secure Transaction System for Decentralized Energy Trading in Microgrids 
    Muhammad Hasan Danish Khan, 01-281172-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    Decentralized energy trading is an evolving construct of new techniques, services and a new interface, being integrated with the legacy Microgrid network. With this advancement, the security risks of the Microgrid and the ...
  • Millimeter Wave for Vehicular Communication Using Efficient Coding Technique 
    Arshee Ahmed Tanveer, 02-281171-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    Millimeter-wave is a promising technology for Vehicular ad-hoc Networks (VANETs). Millimeter-wave is, however, susceptible to path loss and fading, which degrades system performance. Error-free data between Vehicle to ...
  • Segmentation & Classification of Malignant Bone Nodules Using Artificial Intelligence (AI) 
    Basirat Fatima, 01-244222-005 (Electrical Engineering, Bahria University Engineering School Islamabad, 2025)
    Accurate diagnosis and classification of bone nodules are required for effective treatment planning and patient care. In this work, we introduce an innovative approach using artificial intelligence (AI) for segmentation ...
  • ULP Power Amplifier Using 65nm CMOS Technology 
    Muhammad Ovais Akhter, 02-281192-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    Power amplifier (PA) is the most power-hungry component of RF transceiver, portraying design issues. These include insufficient connectivity, power distribution, bandwidth, linearity and efficiency parameters that did not ...
  • An Improved Sliding Mode Control for Voltage Source Inverters Using Optimal Surface Selection Mechanism 
    Faheem Haroon, 01-281172-005 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    In the present era, the integration of Distributed Generation (DG) into power systems has become possible through power electronic interfaces like Voltage Source Inverters (VSIs). With the integration of effective control ...
  • Control of Hybrid AC-DC Microgrid Using Variable Weighing Factor Algorithm 
    Syed Umaid Ali, 01-281172-006 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    The electricity system is facing a structural transformation due to initiatives such as an increasing penetration of renewable distributed generation (RDG) units, widespread use of different converter topologies for storage, ...
  • Modeling and Control Synthesis of Robotic Digits for Movement Coordination In an Anthropomorphic and Impaired Hand 
    Maryam Iqbal Shah Taizi, 01-281171-003 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    The human hand is an intricate structure capable of realizing complex Activities of Daily Living using an effective combination of mechanisms, sensing, actuation and control functions. This thesis presents the road towards ...
  • Predictive Maintenance of Aircraft Turbofan Engines using Deep Learning Technique 
    Adil Mumtaz, 01-244222-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    The aviation industry is faced with a major challenge in achieving maximum operationalization and reliability of aircraft engines, given that unscheduled failures often result in costly downtimes, service interruptions, ...
  • A Blockchain Based Layered Architecture for Consensus Mechanism in Decentralized Energy Trading 
    Engr. Ali Haider, 01-244222-002 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    The utilization of renewable energy sources and the creation of a sustainable energy system can be greatly facilitated through platforms for decentralized energy trading. Multiple levels in the suggested architecture provide ...
  • Balance Hip-Knee Insights and Innovative Approaches with Sliding Mode Control 
    Mohammad Safee Ur Rehman, 01-244221-003 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    This research investigates novel methodologies to analyze and enhance joint stability and control in human biomechanics, focusing on the Hip-Knee (HK) joint angles during single-leg stance (SLS) activity and applying Quasi ...
  • Postural Stability Of Biomechanical Model Using Passivity Based Nonlinear Model Predictive Control 
    Taruq Aziz Karimi, 01-244222-015 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    Maintaining postural stability is crucial in human biomechanics, particularly for activities like standing and walking. This thesis explores a novel control strategy combining Nonlinear Model Predictive Control (NMPC) with ...
  • Role of Visual Saliency in Video Quality Assessment 
    Syeda Eesha-Tir-Razia, 01-244222-013 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    The human visual system is attracted to unusual or unique objects in a visual scene. In case of computer vision , Visual Saliency is defined as the property that makes certain objects or regions to stand out in an image ...
  • Investigation Of Optimal Power Factor In Distribution Networks Based On DG Placement 
    Syed Naqi Haider Shah, 01-244222-012 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)
    This study optimizes Distributed Generator (DG) placement and sizing in regional distribution networks using the Sea Horse Optimization (SHO) algorithm and the Backward Forward Sweep Method (BFSM). Four distinct situations, ...

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