• 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 ...
• 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. ...
• 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 ...
• 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, ...
• Resource Optimize FPGA Implementation of Sonar System 

  Muhammad Umair Arif, 01-244222-014 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)

  Field Programmable Gate Array (FPGA) is an efficient and compact tool for fast processing and computations of signals. In this project, we explore the capabilities of Sonar system implemented on FPGA, addressing the ...
• Inappropriate Video Detection for Kids Through AI 

  Aqsa Shams, 01-244222-004 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)

  The internet hosts a variety of videos for children, including cartoons and other types of media. Some of these videos may be inappropriate for kids, containing harmful content that promotes violence or aggressive behavior, ...
• Compensation Of Transmission Grids By Using Optimal Allocation Of Facts Devices 

  Muhammad Shaoor Shafique, 01-244222-010 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)

  The increasing complexity and demand on modern power systems necessitate the efficient management of transmission grids to ensure reliability, optimal power flow and maximum power transfer capability. The goal of this ...
• Analysis Of Low Noise Acoustic Transducer Of Deep Water Echo Sounder 

  Muhammad Ammad Zubair, 01-244222-009 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)

  Specialized solutions are required due to the growing complexity of underwater communication, especially in Deep Water applications where traditional approaches are hindered by signal attenuation and noise. The goal of ...
• A Development Of Economically Efficient Community Microgrid System With Local Power Market For Enhanced Power Stability And Energy Management 

  Nabeel Ul Rehman, 01-244202-017 (Electrical Engineering, Bahria University Engineering School Islamabad, 2024)

  This study investigates the capacity of incorporating renewable energy sources and backup generation into microgrid systems to reduce reliance on the main power grid and decrease carbon emissions. By employing demand side ...
• Techno-Economic Analysis Of Counter Strategies To Control The Overloading Of Distribution Networks In The Context Of Ev’s Charging Infrastructures 

  Muhammad Waqas Yousuf Khan, 01-244202-016 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)

  The most significant issue that we are currently dealing with is climate change. We are observing its extensive destructions and it has been harming all of humanity. Worldwide efforts are being made to lessen the severity ...
• Techno-Economic Analysis of Hybrid Renewable Energy Based Electricity Supply to Gwadar, Pakistan 

  Muhammad Sharjeel Ali, 01-244202-014 (Electrical Engineering, Bahria University Engineering School Islamabad, 2022)

  Gwadar is essential for Pakistan's financial stability. The third deep-water port in Pakistan, plays a significant part in trade between the Gulf States, Africa, UAE, and CARs. To ensure prosperity and a strong economy of ...
• Channel Modeling and Link Budget Analysis for mmWave and Terahertz Systems for Future Networks 

  Arslan Nazir, 01-244202-005 (Electrical Engineering, Bahria University Engineering School Islamabad, 2022)

  Mobile Technology generations from IG to 5G have been designed with an aim to meet the needs of the end-users and network operators. Each generation among them must meet specific requirements like latency, throughput, ...
• Collision Probability Estimation in 5G Networks 

  Mujtaba Ali Satti, 01-244202-025 (Electrical Engineering, Bahria University Engineering School Islamabad, 2022)

  5G and Cognitive Radio (CR) are rising technologies to meet mobile data traffic of upcoming wireless networks, 5G networks have been generally mounted with the help of Cognitive base station (BTS) and Cognitive radio ...

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