• 2D Seismic Data Interpretation and Petrophysical Analysis of Rajian Area, Upper Indus Basin, Pakistan 

  Muhammad Talha, 01-266212-016; Hasnain Ali, 01-166212-005 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  This study focuses on the integrated seismic interpretation and petrophysical evaluation of the Rajian Field situated within the Pothwar Sub-Basin of the Upper Indus Basin, Pakistan. The research utilized 2D seismic data ...
• 2D Seismic Data Interpretation of Karsal Oil Field, Upper Indus Basin, Pakistan 

  Laiqa Fatima, 01-166212-007; Samra Saeed, 01-166212-019 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  2D Seismic interpretation of Karsal area was carried out to analyze sub surface structural geometry present is the study area, since it is surrounded by a number of oil producing oilfields. To carry out this study, three ...
• 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 ...
• Assessment of Selected Bacterial Pathogens at Metrobus Terminal Waiting Rooms in Rawalpindi, Pakistan 

  Bismah Shafqat, 01-167212-003 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  The study evaluated the bacterial loads in three metro terminals of Rawalpindi analyzing air and surface samples using culture media Nutrient Agar (total bacteria), Eosin Methylene Blue Agar (E. coli), MacConkey Agar ...
• 2D Seismic Data Interpretation and Petro physical Analysis of Sawan Area, Central Indus Basin, Pakistan 

  Muhammad Adnan, 01-166212-004; Ehsaan Ali, 01-166212-011 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  The study represents the seismic interpretation and petrophysical evaluation of the Sawan Gas Field, situated in the Central Indus Basin of Pakistan. The main objective is to assess the hydrocarbon potential of the Lower ...
• 2D Seismic Data Interpretation and Petrophysical Analysis of Gambat Field, Lower Indus Basin, Pakistan 

  Zain Zaheer, 01-166212-026; Shehryar, 01-166212-021 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  This thesis was conducted to understand the subsurface geology of Gambat field in Lower Indus Basin with the help of 2D-sesimic data interpretation and petrophysical analysis. The Duljan Re-Entry-01 well is situated in the ...
• 2D Seismic Interpreatation of Bitrism Block and Petrophysical Analysis of Fateh-01 well, Lower Indus Basin, Pakistan 

  Aqsa Rubab, 01-166201-020; Ramsha Ali, 01-166201-014 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  This study meant to provide better understanding of the subsurface structure of the Bitrism block, which is located in Sindh, Lower Indus Basin, Pakistan and to estimate the petrophysical parameter of Fateh-01 well by ...
• Prospect Generation & Evaluation of Nur Area, Sindh, Lower Indus Basin, Pakistan 

  Bilal Amjad Gondal, 01-166212-003 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  This study presents an integrated geological, geophysical, and petrophysical evaluation of the Sujawal Block in the Lower Indus Basin, Pakistan, with a focus on the NUR-01 Well. Using 2D seismic data interpreted in Kingdom™ ...
• Seismic Data Interpretation and Petrophysical Analysis of Zamzama Field, Lower Indus Basin, Pakistan 

  Haris Amjad, 01-166192-006 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  The research area for the Zamzama gas field is located in Sindh's Dadu district, within the Zamzama block. The investigation region is in Pakistan's lower Indus basin's Kirthar foredeep. The geologic succession ranges from ...
• Subsurface Structural Interpretation and Petrophysical Analysis of Sanghar Area, Southern Indus Basin Pakistan 

  Muhammad Umer Arshad; Luqman Aftab (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  The Southern Indus Basin of Pakistan, particularly the Sanghar area holds the significant hydrocarbon potential due to its complex structural framework and favorable stratigraphy. This study integrates seismic interpretation ...
• Digital Lithostructural Mapping of Choa Saidan Shah, Eastern Salt Range, District Chakwal, Pakistan 

  Muhammad Saifullah Ishtiaq (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2025)

  The major aim of this study is to highlight digital mapping in the field of Geology. To achieve this objective, a couple of software including FieldMove, Move 2D, Arc GIS were used. Firstly, a geological map of Choa ...
• 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 ...

View more