• AI-Enhanced 6G-Enabled Intelligent Spectrum Sharing for Smart Grid Communication 

  Muhammad Fiaz Ul Haq Madni, 09-244242-004 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  The increasing digitalization of electric power systems has created a growing demand for adaptive and spectrum-effcient wireless communication in smart grid environments. Conventional static spectrumallocation approaches ...
• AI-Based Energy Management System for Smart Microgrid 

  Hekmat Ullah Qani, 09-242242-002 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2026)

  Renewable generation and electricity demand are variable, which makes short-term forecasting difficult for smart-microgrid energy management. This thesis develops and evaluates a hybrid Long Short-Term Memory (LSTM) and ...
• AI-Based Content Analytics For IOT-Driven Smart Cities 

  Faria Fatima, 09-244242-001 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  A vast amount of diversified data from sensors, service platforms, and environmental monitoring systems has resulted from the quick development of smart cities and Internet of Things (IoT) infrastructure. IoT devices provide ...
• Development of a Smart Prosthetic Hand Using Fuzzy Logic for Muscle Signal Interpretation 

  Qaisar Zia, 09-244242-007 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  The thumb contributes roughly half of the total functional capacity of the human hand, since opposition and pinch are governed by its motion across the carpometacarpal (CMC) saddle joint. Restoring credible thumb motion ...
• Digital Twin-Based Real-Time Monitoring and Control of Multi-Well Gas Field Production 

  Muhammad Hassan Hafeez, 09-244242-005 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  Cyber Physical System (CPS) based Digital Twin (DT) has become one of the most trusted and in-use automation technology in the Power, Energy, Process, and Manufacturing industry. With its primary role in monitoring of ...
• Lightweight & Robust Federated Learning for IOT Anomaly Detection 

  Talha Hameed, 09-244242-009 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  The increasing growth of Internet of Things (IoT) devices brought up substantial security concerns due to distributed synthetic data simulation, resource constraints, privacy concerns, and increasingly sophisticated ...
• AI-Powered Framework for Real-Time Detection of Prostate Cancer from MRI Scans 

  Engr. Muhammad Asad Zeeshan, 09-244242-003 (Electrical Engineering, Bahria University Engineering School Islamabad, 2026)

  Since abnormalities at an early stage of prostate cancer may be hard to spot from manual examination of MRI images, timely and accurate detection is essential. The aim of this thesis was to create an AI-based system for ...
• 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 ...

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