BS: Recent submissions

  • Supervisor Kamran Aziz Bhatti, Muhammad Umer Siddiq, Salman Nawaz Malik, (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
  • Supervisor Dr. Zubair Ahmed Co-Supervisor Ma’am Sobia Hayee, Muhammad Farhan Abdullah Shah Muhammad Asif Sattar Malik Hammad Hussain (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    Ambient RF (Radio Frequency) energy harvesting is a promising technology that aims to harness and utilize the ubiquitous electromagnetic radiation present in our environment. This form of energy harvesting offers a ...
  • Supervisor Dr. Usman Ali, M.Omar Waqar, Hamza Ateeq, Abdullah Nazir, Faisal Arshad, (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
  • Supervisor Dr. Usman Ali., Raheel Fiaz (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    Due to the non-linear PV module characteristics, fluctuating ambient conditions, and dynamic load fluctuations, traditional buck converters used for MPPT have difficulty achieving high efficiency and precision. To get ...
  • Supervisor Dr Naeem Ul Islam, Arslan Ali Arshmah Muhammad Junaid Iqbal (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    Automatic Attendance System has the potential to simplify attendance management procedures in many educational contexts, the development of an automatic attendance system utilizing facial recognition has attracted ...
  • Supervisor Dr. Ahmad Rauf Subhani Co-Supervisor Sobia Hayee, Zain Rehan Hina Arshad Ifrah Fasih Muhammad Faizan Asghar (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    Our final year project, DriveCare, aims to improve road safety by helping drivers stay focused on the road and prevent accidents caused by distracted driving. To achieve this, we use facial expression recognition and ...
  • Supervisor Dr. Ahmad Rauf Subhani Co-Supervisor Dr. Naeem Ul Islam, Muahmmad Arhum Mobin Bakhat Baidar Hussnain Muhammad Bin Khalid Talha Farooq (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    The project aimed to develop an automatic system for speed monitoring and number plate detection of vehicles using a drone. The system utilized two key technologies: deep neural network (DNN) for number plate detection ...
  • Supervisor Sobia Hayee, Qasim Bin Saeed Ayesha Arshad Urva Azhar Syed Salman Hassan Naqvi (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    This research project focuses on the integration of advanced technologies into autonomous vehicles to enhance their perception capabilities, improve hardware reliability, achieve a high level of autonomy, and develop ...
  • Supervisor Dr. Fahad Mumtaz Malik, Muhammad Ibtesam Abdullah Tauqeer (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    This research project focuses on the integration of advanced technologies into autonomous vehicles to enhance their perception capabilities, improve hardware reliability, achieve a high level of autonomy, and develop ...
  • Supervisor Dr. Ahmad Rauf Subhani, Muhammad Shayan Sajid Rizwan Qadeer Malik Muhammad Awais Malik (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    The aim of the project is to facilitate visually impaired persons. The visually impaired population faces numerous challenges in their daily lives, relying heavily on assistance from others to perform simple tasks. ...
  • Supervisor Dr.Naeem Ul Islam, Mussab Mehboob Liaqat Naseem (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
  • Supervisor Dr. Ahmad Rauf Subhani, Ghulam Nabi Madeeha Umair Malik Maryam Mumtaz (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
  • Supervisor Dr. Fahad Mumtaz Malik, Usama Hameed Umer Bukhari Hassan Tariq Mohsin Ali (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    The ubiquity of Global Navigation Satellite Systems (GNSS) in our modern world has undeniably enhanced various aspects of human life. However, the susceptibility of GNSS to spoofing attacks, where falsified signals ...
  • Spervisor Dr. Naeem-ul-Islam Khawaja Fahad Iqbal, Fida-ur-Rehman Uzair Ahmad Syed Muhammad Abdullah Shah Muhammad Usama Malik (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    This project aims to develop an EEG-controlled robotic arm for individuals with motor impairments, offering them increased autonomy and functionality in their daily lives. The system utilizes a dataset of pre-recorded ...
  • Supervisor Dr Mazhar Abbass Co-Supervisor Dr Faiz Ul Islam, Abdul Moiz Muhammad Ahmed Yousaf Muhammad Haroon Bangash Talha Bin Riaz (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    The welding process is one of the most important manufacturing processes in the world. However, the process of welding is typically a manual process that requires a skilled worker to operate the equipment. This results ...
  • Supervisor Miss Sobia Haye, Hamza Tanweer (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    This project focused on an idea to develop an innovative smart helmet focusing on boosting traffic safety and fostering general well-being. This project is incorporating cutting-edge technologies into a helmet design, ...
  • Supervisor Sobia Hayee, Shehroz Raza, Muhammad Usman, Hamza Mubashir, Anas Muhammad (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
  • Supervisor Dr. Taosif Iqbal, Aftab Naseer Zeeshan Ali (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    The current state of battery technology for electric vehicles falls short in terms of energy density advancements, creating a need for a solution that eliminates battery dependency. Our project proposes a simple and ...
  • Supervisor Dr. Sarmad Majeed Malik Co-Supervisor Kamran Aziz Bhatti, Rohaib Bhatti Anam Sheikh Shifa Hamid (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    This project aims to develop an accurate power forecast of a photovoltaic (PV) system for active buildings, using machine learning (ML) models. The objective is to create a demand response system that regulates energy ...
  • Supervisor Dr. Naeem ul Islam, Hafsa (College of Electrical and Mechanical Engineering (CEME), NUST, 2023)
    The rapid advancement in technology has led to the development of fully automated systems that can communicate with each other, making processes more efficient and streamlined. The growing demand for efficient and ...

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