• 6G-Enabled ISAC: AI-Based Sensing and Communication Convergence 

  Saqib Islam, 09-244241-004 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  Integrated Sensing and Communications (ISAC) shares radio resources, evolving from existing to 6G cellular networks. However, due to the highly dynamic nature of 6G, traditional ISAC models fail. This thesis investigates ...
• RIS-Assisted UAV-Enabled Cell-Free MIMO Systems for 6G Communications 

  Farhan Siddiqui, 09-244241-002 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  The exponential surge in global mobile data traffic and the stringent requirements of emerging applications such as extended reality, holographic telepresence, and advanced industrial automation expose fundamental limitations ...
• Ai-Driven Satellite-Assisted Route Optimization for Enhanced Mother-Daughter Drone Coordination in Efficient Parcel Delivery 

  Faiq Afzal, 09-244241-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  The fast-paced development in artifcial intelligence (AI), satellite communication, and autonomous aerial vehicles are transforming contemporary logistics and delivery systems. Conventional drone-based delivery systems ...
• Communication Link Modelling of Vehicle-To-Everything (V2x) Networks 

  Muhammad Sohail Sajid, 01-244232-006 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  A crucial enabling technology for intelligent transportation systems is vehicle-toeverything (V2X) communication, which provides dependable wireless connectivity to support applications related to traffc effciency and ...
• 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 ...

View more