Final Year Project Report (BUES): Recent submissions

  • Site Classification Of Jasmine Garden And Comsats University Cricket Ground By Calculating Shear Wave Velocity Using Masw And Mam Survey 
    Muhammad Ali, 01-166192-026; Sarmad Azhar, 01-166192-027 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    Seismic hazards and their damages have been substantially serious on unconsolidated or soft rocks then on rock sites even if they are very close to earthquake epicenter. Utilizing shear wave velocity to locate or characterize ...
  • Structural Analysis And Petrophysical Interpretation Of Dhodak Field, Central Indus Basin, Pakistan 
    Awais Arshad; Waseem Sajjad (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    The primary goal of this study is to evaluate the hydrocarbon prospective of Dhodhak Field in the Central Indus Basin of Pakistan. The major structure present in the area is the Sufaidkoh Anticlinolium. A structure marked ...
  • Integrated Seismic Along With Petrophysical Interpretation And Volumetric Reserves Estimation To Decipher The Hydrocarbon Potential Of Minwal Field, Upper Indus Basin, Pakistan 
    Noor Ul Ain Tahir; Bibi Iqbal (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    The Minwal block is situated in the Potwar sub-basin's southeastern part. The subsurface structure of the Minwal block was delineated using 2D seismic data, and wireline log data from two wells were used for reservoir rock ...
  • Site Classification Of I-8/3 (Kachnar Park) And H-8/1 By Calculating Shear Wave Velocity Using Masw And Mam Survey 
    Zeeshan Ahmed, 01-166192-021; Muhammad Shakir, 01-166192-012 (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    Seismic hazards and their damages have been substantially more serious on unconsolidated or soft rocks then on rock sites even if they are very close to Earthquake epicenter. To find or characterize shallow subsurface soil ...
  • Identification Of Limestone Unit Based On Faunal Content In Khanpur-Dam Section, Khyber Pakhtunkhwa, Pakistan 
    Yaqoob Khan; Syed Moiz ul Hassan Nizami (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    The Chorgali Formation, dating back to the Eocene period, comprises limestone beds of medium to thick thickness with shale intercalations. The main focus of the study is the Khanpur Dam section located in the Haripur ...
  • Petrophysical Analysis Of Kadanwari-04 & Kadanwari-07, Lower Indus Basin, Pakistan 
    Zainab Bibi (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    In the current study, the main goal was to identify reservoir zones and to delineate the hydrocarbon potential for Kadanwari-04 and Kadanwari-07 wells. Kadanwari-04 and Kadanwari-07 wells are located at 69 27’88.83” E, 27 ...
  • Petrophysical Analysis Of Qadirpur-03 & Qadirpur-11, Lower Indus Basin, Pakistan 
    Ali Naimat; Shahzaib Sabir (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    Qadirpur Gas Field, located in Pakistan, has been a significant contributor to the country's natural gas production. This thesis presents a comparative analysis of two key wells in the field, namely Qadirpur-03 and Qadirpur-11 ...
  • Depositional And Diagenetic Setting Of Jurassic Carbonates, Thandiani Section, Hazara Basin, Pakistan: Implications On Reservoir Studies 
    Usama Shoukat; Eisha Mehboob (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    The Thandiani Section of the Abbottabad Group of Samana Suk Formation is selected for research study. The research is centered around the examination of rock characteristics, specifically through petrographical analysis ...
  • Assessment Of Groundwater Quality In The Surrounding Villages Of Islamabad (Mera Abadi, Saidpur Village, And Kalajar Village) 
    Muhammad Sohaib; Mansoor Tariq (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    The primary supply of water for drinking, industrial, and residential use in urban areas is groundwater, which is frequently over-utilized. Groundwater is frequently degraded in metropolitan areas due to increasing ...
  • Drinking Water Quality Assessment Of Selected Sectors Of Islamabad, Pakistan 
    Anoosha Khan (Earth and Environmental Sciences, Bahria University Engineering School Islamabad, 2023)
    In this research study, the drinking water quality of different sectors of Islamabad was evaluated. The major sources of water samples were filtration plant water and tube wells. The main goal of this research was to analyze ...
  • Hardware Implementation of Grain-128 Cryptographic on FPGA 
    Taha Zafar, 01-133192-130; Tayyab Ali, 01-133192-134 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    With the rapid advancement of digital communication, securing the transmission of data has become a crucial concern. Encryption, a process of cryptography, is commonly used to ensure data privacy and prevent unauthorized ...
  • Performance Enhancement Of Automatic Modulation Classification Using Deep Learning 
    Muhammad Awais, 01-133192-147; Mahad Tariq, 01-133192-054; Ehtisham Jafar, 01-133192-029 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Machine learning has been transformed by deep learning, a potent branch of artificial intelligence. Because of its capacity for processing and learning from big volumes of data, it has grown in popularity. Deep learning ...
  • Programmable AC/DC Power Supply 
    Talha Abid, 01-133192-131; Qasim Ali, 01-133192-163; Syed Ashir Ali, 01-133192-127 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    Every electrical and electronic appliance is designed to work perfectly at a certain input voltage. In Pakistan, household electrical and electronic appliances are designed to work properly at 220VAC, 50Hz and most of the ...
  • Unmanned Aerial Vehicles Swarm UAVs 
    Muhammad Sheharyar Khan, 01-133192-095; Talha Bin Tahir Butt, 01-133192-133; Usman Ali, 01-133192-165 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    An unmanned aerial vehicle(UAV), commonly known as a drone, is an aircraft without any human pilot, crew, or passengers on board. UAVs are a component of an aircraft system, which includes adding a ground-based controller ...
  • EE Managerial App 
    Shayan Arshad, 01-133192-125; M.Shahzad, 01-133192-161; Akbar Niazi, 01-133192-157 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    This Application EE Managerial APP is capable of sending immediate notifications and announcements from the department to students, Faculty, the ASA office or the HOD office where needed. This will be very helpful and play ...
  • Multi Input Multi Output Dc To Dc Converter 
    Syed Ibne Ali Abbas, 01-133192-129; Mubeen Hassan Riaz, 01-133192-145; Arslan Malik, 01-133192-020 (Electrical Engineering, Bahria University Engineering School Islamabad, 2023)
    It is widely used because of its fundamental role in power age, energy capacity, vehicle, foothold, security, aircraft, utility frameworks, flexible electronic gadgets, frameworks reconciliation, and energy productivity ...
  • IOT Covid Bot 
    Husnain Shafqat, 01-133182-035; Nabeel khan, 01-133182-071; Waqar Ahmad, 01-133182-131 (Electrical Engineering, Bahria University Engineering School Islamabad, 2019)
    By following to human social distance norms, transmission of COVID-19 may be avoided. It is possible to identify pairs of individuals who are not preserving a social distance limit of roughly six feet between them by using ...
  • AI-Based Reconstruction for fast MRI 
    Umair Zaheen, 01-132192-045; Hamza Khan, 01-132192-011 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    AI-based reconstruction for fast MRI is the most up-to-date way to make magnetic resonance imaging (MRI) faster. This method uses deep learning techniques to build high-quality MRI pictures from under-sampled k-space data. ...
  • Missing Person Finder Using Deep Learning 
    Bismillah Asnam, 01-132192-007; Zeeshan Ali, 01-132192-039 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The increasing number of Missing persons in public spaces such as train stations, airplane terminals, and malls presents a significant challenge for law enforcement agencies and security personnel. In response to this ...
  • Pothole Detection Using Deep Learning 
    Muhammad Raif Ali, 01-132192-027; Muhammad Touseef Shahzad, 01-132192-041 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Potholes on roads are one of the reasons for road accidents and deploying detection units on all roads for better maintenance is difficult. Deep learning-based pothole detection is a more effective method to easily detect ...

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