MS: Recent submissions

  • Relifing of X-Ray/ CT Scan Tube Head 
    Ahmad, Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2025)
    The tube head of an X-ray or CT scanner is a crucial element in diagnostic imaging systems, housing the tube insert that generates X-rays. These components are subject to wear over time, with their service life limited ...
  • Visual Object Classification for Autonomous Vehicles in Adverse Weather Conditions 
    Ahmed, Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2025)
    Object classification is essential to the reliability and security of environmental perception in autonomous driving conditions, especially under poor weather conditions such as rain, fog, or snow, which can significantly ...
  • A Vision-Based Approach for Real Time Fire and Smoke Detection Using FASDD 
    Khan, Qaiser (College of Electrical & Mechanical Engineering (CEME), NUST, 2025-01)
    Fire and smoke detection is essential in safety-critical environments, yet traditional systems often struggle with maintaining accuracy and reducing false alarms in complex scenarios. Therefore, vision-based systems are ...
  • Design and Analysis of Multimodal Piezoelectric Ultrasound Transducer for Cancer Cells Bursting 
    Khan, Harris (College of Electrical & Mechanical Engineering (CEME), NUST, 2025-01)
    Cancer research has been a significant concern for researchers globally owing to the tremendous loss of life caused by various kinds of cancer cells. Traditional cancer treatments, such as chemotherapy, can have severe ...
  • Modelling and Optimization of Microbial Fuel Cell 
    Mehmood, Hassan (College of Electrical & Mechanical Engineering (CEME), NUST, 2025-01)
    Microbial Fuel Cells (MFCs) are an innovative technology that stands at the intersection of renewable energy production and wastewater treatment. MFCs provide a sustainable solution for the production of energy by utilizing ...
  • Background Noise Reduction and Signal Reconstruction for Airborne Acoustic Emission of a Machining Process 
    TAYYAB ZAFAR (College of Electrical and Mechanical Engineering (CEME), NUST, 2015)
    Intelligent machining centers have become important part of manufacturing systems because of increased demand of the productivity. Tool Condition Monitoring is an integral part of these systems. Acoustic emission from ...
  • Urban Scene Detection by Material Mapping Using Hyper Spectral Imaging 
    Syeda Sara Habib (College of Electrical and Mechanical Engineering (CEME), NUST, 2015)
    Hyperspectral remote sensors collect images in hundreds of narrow adjacent spectral bands. This image data at pixel level is compared with field or laboratory reference spectra in order to recognize and map surface ...
  • MEMORY AWARE DVFS FRAMEWORK FOR SPARC BASED LEON3 PROCESSOR 
    Zohaib Najam (College of Electrical and Mechanical Engineering (CEME), NUST, 2017)
    This research has proposed hardware modi cation in softcore LEON3 processor based on SPARC V8 Architecture. LEON3 is an open source softcore processor described in VHDL hardware description language, the softcore nature ...
  • Design of a Multi-axis Electro-thermal Micromirror for Optical Coherence Tomography 
    Umar Farooq (College of Electrical & Mechanical Engineering (CEME), NUST, 2016)
    The dissertation presents the design and optimization of electrothermally actuated micromirror based on Micro electromechanical system (MEMS) technology. MEMS micromirrors are used in a variety of applications such as ...
  • DESIGN AND DEVELOPMENT OF PVDF HYDROPHONE FOR UNDERWATER APPLICATION 
    Huzaifa, Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    In recent years, underwater acoustic measurement has gained significant importance due to the increasing need for detecting and monitoring underwater objects such as marine life and vehicles. Acoustic waves remain the ...
  • Enhanced EEG-based Emotion Classification using Convolutional Neural Networks with Novel Feature Integration 
    Ijaz, Usama (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-09)
    The rapidly developing endeavor of EEG-based emotion classification within the domain of affective computing is one that has potential application in mental health diagnostics, human-computer interaction, and adaptive ...
  • Design of Piezoelectric Energy Harvesting System for Intelligent Vehicle Wheels 
    Farooq, Muhammad Siddique (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-09)
    Due to the current mandates for TPMS in vehicles around the world especially in US since 2007 and EU 2022 regulations; challenges of battery disposal on the environment have emerged more sharply. In response, the study ...
  • Fault Analysis and Remedial Measures for Transmission Control Module 
    Imdad, Awais (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    The Transmission Control Module (TCM) is a critical component in modern vehicular systems, responsible for regulating gear shifting, ensuring optimal performance, and enhancing fuel efficiency. Given its integral role, ...
  • DESIGN AND DEVELOPMENT OF GYROCOMPASS A NIGHT NAVIGATION DEVICE 
    Abrar, Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    This thesis presents the design and development of a gyrocompass, intended for night navigation, leveraging modern Microelectromechanical Systems (MEMS) technology and accessible microcontrollers. Initially, the project ...
  • Design and Analysis of ZnO Nanowires-Based Piezoelectric Accelerometer for Haptic Tactile Displays 
    Khan, Muhammad Sohaib (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    This thesis presents the proposed design and analysis of a Zinc Oxide (ZnO) nanowirebased accelerometer with a novel capability to measure acceleration in three directions. The piezoelectric properties of ZnO compose a ...
  • Design, Simulation, and Fabrication of Piezoelectric based detection of Doctor’s Hand Tremor 
    Qamar, Abdullah (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08)
    In this study, we present a new vibration energy harvester that aims to harness the involuntary hand movements associated with vibration. The device features a special single-beam design with a piezoelectric component ...
  • AI-Based Performance Analysis of Temperature Sensors A Reverse Engineering Case Study 
    Mazahir, Awais (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    To replace imported Resistance Temperature Detectors (RTDs) in heavy duty engines such as those found in power plants construction and mining machinery and tracked vehicles this thesis describes the development and ...
  • Breast Cancer Detection Using Machine Learning and Transfer Learning 
    Rafique, Assad Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    This study explored the application of deep learning techniques to enhance the detection of breast cancer. The research aimed to improve the accuracy, reliability, and efficiency of breast cancer diagnosis methods by ...
  • Cybersecurity Of Cyber-Physical Systems Using Machine Learning Approach 
    Mehdi, Syed Shabab (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08)
    The increasing integration of digital technologies into critical infrastructure systems has exposed them to a heightened risk of cyber threats. These malicious attacks can have farreaching consequences, including unauthorized ...
  • Classification of Indoor vs Outdoor induction labour success 
    ABDUL RAFAY, SYED (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08)
    Induction of labour is a procedure which is performed when benefits of interrupting or stopping the pregnancy outweighs rather it is continued further. According to studies and surveys it is found that about 25% of the ...

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