Department of Computer Engineering (BUES): Recent submissions

  • Smartrad-Xai 
    Muhammad Waleed Asrar, 01-132212-051; Abdullah Aamir, 01-132222-002; Hameed Junior, 01-132222-012 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    The early detection of chest diseases from X-ray images vital for timely clinical decision making especially in resource-limited health care systems where the availability of expert radiologists can be limited. The current ...
  • Invershare 
    Rehan Munir, 01-132222-036; Rayan Zahoor, 01-132222-035; Muhammad Umaar Munir, 01-132222-029 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    Intelligent energy management systems have proven to be in an escalating demand thanks to the fast and urgent need for the efficient use of energy resources and the rapid integration of renewable energy resources. To address ...
  • Eeg-Based Vr Smart Learning System 
    Muhammad Abu Bakar Roshan, 01-132222-025; Syed Muhammad Abdullah, 01-132222-043; Zarrar Ali, 01-132222-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    Monitoring student engagement during a lecture objectively is diffcult. Instructors depend on visual cues that are easy to miss, self-report questionnaires that interrupt the session, and post-hoc performance data that ...
  • Autonomous Wire Inspection Unit 
    Muhammad Umar Asghar, 01-132222-030; Shah Nawaz Khan, 01-132222-038; Abdullah Amir, 01-132222-003 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    Frequently, faults can be hard to spot in underground and tunnel based electrical wiring systems and may require time-consuming excavation or manual examination. The design and development of an Autonomous Wire Inspection ...
  • Sensor Fusion for Enhanced Obstacle Detection in Marine Vessels 
    Muhammad Abdul Maalik, 01-132222-022; Behroz Khan, 01-132222-011; Muhammad Abdullah Shafiq, 01-132222-023 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    Effective safe navigation in demanding maritime environments demands dependable obstacle detection at all ranges and in all weather and lighting conditions. Existing mono-modal systems, whether radar, LiDAR or camera, ...
  • Auto Sentinel: Smart Braking and Driver Awareness System 
    Syed Shabab Haider, 01-132222-045; Muzamil Hussain, 01-132222-034; Usman Hidayat, 01-132222-048 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    Road accidents continue to be a major problem across the globe with overspeeding and driver fatigue being some of the major reasons for fatal accidents. Vehicle safety systems at present are such that each system focuses ...
  • Vr-Eeg System for Gamified Assessment 
    Ayesha Yasir, 01-132222-010; Isha Naeem, 01-132222-019; Muhammad Umer, 01-132222-031 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    Assessing the cognitive workload is a fundamental need for the design of intelligent and adaptive human computer interaction (HCI) systems, especially in immersed environments where the difficulty level of a task can ...
  • Mental Health Chatbot With AI 
    Muhammad Usman Iftikhar, 01-132202-032; Ahmad Faraz, 01-132212-004; Sadeed Ullah, 01-132212-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2026)
    An increasing number of individuals face mental health problems, including anxiety, stress, and depression because academic, social, and personal demands keep rising. The conventional mental health services encounter ...
  • Custom Smart BMS (Battery Management System) 
    Hassan Ali Shahbaz, 01-132202-012; Subhan Khan, 01-132202-016; M Osama Sajid, 01-132202-029 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    This project is about making a smart and customized Battery Management System (BMS) that helps improve battery safety, performance, and life. It includes features like real-time monitoring, active cell balancing, and ...
  • Roboat 
    Ayesha Tahir, 01-132212-012; Muhammad Hussnain Younas, 01-132212-027; Muhammad Mustafa Burhan, 01-132212-055 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    With increasing challenges in aquatic navigation, real-time monitoring, and environmental task automation, Autonomous Surface Vehicles (ASVs) emerge as viable platforms for research and real-world applications. This project ...
  • Stress / Workload Assessment Using Multimodal Approach 
    Aina Shireen, 01-132212-005; Kamal Hussain Shah, 01-132212-020; Muhammad Sohail, 01-132212-029 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    The growing interest in monitoring cognitive workload has sped up the research in intelligent systems that utilize physiological signals. Mental workload (MWL), if unmanaged, can degrade human performance in safety-critical ...
  • Object 3D Reconstruction Using Photogrammetry and AI 
    Arooj Yousaf, 01-132212-010; Hasnain Ayaz, 01-132212-016; Muhammad Hassan Aamir, 01-132212-026 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    This thesis focuses on 3D object reconstruction using photogrammetry combined with artificial intelligence (AI), a rapidly evolving field with uses in the gaming industry, e-commerce, digital archiving, interior designing, ...
  • Kinesis Pro Standing Wheelchair 
    Ali Uzair, 01-132212-006; Jawad Ali Mirza, 01-132212-019; Muhammad Masharib Khan, 01-132212-028 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Mobility limitations present significant challenges for individuals with physical disabilities, particularly in low- and middle-income countries where access to advanced assistive devices is restricted by high costs and ...
  • Brain Tumor Detection and Segmentation MRI Images Using Deep Learning 
    Adan Irshad, 01-132212-046; Hussain Ali Syed, 01-132212-057; Talha Shahzad, 01-132212-059 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Because of the intricate nature of tumor formations and their neurological effects, brain tumor identification and segmentation continue to be significant issues in medical imaging. With an AlexNet-based CNN for classification ...
  • Early Diabetes Detection 
    Hina Arif, 01-132212-043; Sana Arif, 01-132212-044 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Diabetes, one of the most prevalent metabolic disorders worldwide, requires early and accurate detection for effective management and prevention of complications. This study focuses on addressing the challenges of timely ...
  • Early Fire Detection in Forest Using Image Processing 
    Alishba Riaz, 01-132212-007; Arman Iftikhar, 01-132212-009; Muhammad Taimoor, 01-132212-031 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Early fire detection stays vital because forest fires threaten natural ecosystems as well as local wildlife population and nearby residential areas. Fire detection methods that depend on manual patrolling and satellite ...
  • Smart Traffic Light System 
    Abdul Manan, 01-132212-001; Muhammad Abdullah, 01-132212-023; Haris Ajmal, 01-132212-048 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Traffic congestion is a critical challenge in urban environments, particularly in densely populated regions like Pakistan, where static, time-based traffic signals fail to adapt to real-time traffic conditions. These ...
  • Mental Health Chatbot With AI 
    Ahmad Faraz, 01-132212-004; Sadeed Ullah, 01-132212-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    An increasing number of individuals face mental health problems, including anxiety, stress, and depression, because academic, social, and personal demands keep rising. The conventional mental health services encounter ...
  • Rapid Rovers 
    Abdullah Saeed, 01-132212-003; Syeda Sania Zehra, 01-132212-040; Anum Noor, 01-132212-047 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    Urban mobility faces growing challenges due to increasing traffic congestion, sedentary lifestyles, air pollution, and overreliance on private vehicles. These issues degrade the quality of life, harm public health, and ...
  • Deep Learning-Based Cancer Detection in Histopathological Images of Breast Pathology 
    Muhammad Awais, 01-132212-024; Mujtaba Ahmed, 01-132212-034; Muhammad Jalal Haider, 01-132212-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2025)
    On a global scale there are an estimated 2.3 million new cases of breast cancer per year. For improvement of patient outcomes and increase of the survival rate, it is essential to detect early and diagnose accurately. ...

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