Electrical Engineering: Recent submissions

  • Edge-Optimized Deep Learning Framework for Dynamic Unmanned Vehicles Detection and Tracking 
    Abu Bakar, Aqsa (Electrical Engineering in School of Electrical Engineering & Computer Science, (SEECS), NUST, 2024)
    The increasing prevalence of drones alongside security threats related to these in various sectors, including military, surveillance, and delivery, has underscored the urgent need for advanced drone detection and ...
  • Multi-Objective Optimization of Quadcopter Attitude and Position Control via Sliding Mode and TST-SMC 
    Sultana, Maryam (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Quadcopters have garnered significant interest within the UAV community due to their wide-ranging applications in both military and civilian sectors. This study presents op timized controllers designed for precise regulation ...
  • Advance Control Technique for Magnetic Levitation Train 
    Khan, Rizwan Ahmad (School of Electrical Engineering and Computer Science, (SEECS) NUST, 2024)
    The thesis is based on the design of advanced control techniques for Maglev system, the key purpose of this research is to plan an effective control strategy to deal with nonlinear dynamics of Maglev system, that includes ...
  • Design and Analysis of Magneto-Electric Dipole Antennas for Base Station Applications 
    Sameer, Linta (School of Electrical Engineering and Computer Science, (SEECS) NUST, 2024)
    The Magnetoelectric Dipole (MED) Antenna is a complementary type of antenna that contains both magnetic and electric dipoles. This type of antenna radiates a symmetrical radiation pattern formed by combining the ...
  • Development and Optimization of Non-Linear Control Strategies for Attitude Control of a UAV system 
    Faiz, Usama (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    The field of unmanned aerial vehicles (UAVs) has experienced rapid advancements, with recent innovations emphasizing the potential of bicopters due to their precision in maneuvering, energy efficiency, and capacity to ...
  • Enhancing Image Processing through Quantum CNN 
    Aleem, Muhammad Abdul (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Quantum computing has brought new horizons in solving problems that are challenging for traditional techniques and approaches. A promising application of quantum computing in the f ield of digital image processing ...
  • INTELLIGENT PRINTER 
    Dilshad, Zainab (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Paper has traditionally been a primary medium for transmitting information. Compared to electronic media, reading and interpreting information on paper is easier and simpler to find mistakes. Despite the increasing ...
  • Optimized Nonlinear Control for Rotor Failure Mitigation Using Quadcopter-To-Tricopter Transition 
    Shah, Mohammad Nashit (School of Electrical Engineering and Computer Science (SEECS), NUST, 2024)
    Unmanned aerial vehicles (UAVs) are integral to diverse applications, but quadrotor systems face instability when one actuator fails. This study presents an emergency fault-tolerant control strategy for quadrotor UAVs ...
  • Accelerating the IP Verification Coverage Closure through Machine Learning Within the UVM Framework 
    Shah, Syed Jawad Hussain (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
    This proposal outlines the utilization of AI and ML algorithms within the UVM framework to enhance the stimulus selection process in design verification. With the exponential growth in system complexity, efficient ...
  • Adaptive Aeroservoelastic Control Design for a Flexible-Wing High-Altitude-Long-Endurance Unmanned-Air-Vehicle 
    Salman, Muhammad (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    This work presents the use of adaptive control techniques to design the control system of a flexible-wing HALE aircraft. The structure and Aerodynamic model based on Predator UAV is modeled in NASTRAN, and relevant ...
  • Securing the Secure: Securing AES Implementation Against SIFA and SCA Attacks 
    Shahid Ullah, Qazi (School of Electrical Engineering and Computer Science, (SEECS), NUST, 2024)
    The rapid advancements in digitization with wide adoption of 5G/6G and IoT highlights the importance of edge devices likes smart cards that connect us to the internet. These edge devices provides us numerous benefits but ...
  • Combining Wavelength Shift Keying And Differential Face Shift Keying For Free Space Optical Satellite Communication/ 
    Shah, Muhammad Taqi (School of Electrical Engineering & Computer Sciences (SEECS), NUST, 2024)
    Space laser is an emerging technology which is gaining more popularity because not only it provides greater and unlicensed bandwidth but also the Size, weight, and power (Swap) is reduced as compared to current radiofrequency ...
  • Estimation of Flight Stability Derivatives using Neural Networks based Methods 
    Moiz, Ajiya Fatima (School of Electrical Engineering and Computer Science (SEECS), NUST, 2024)
    Flight stability derivatives are critical parameters in the design and control of aircraft, influencing overall stability and performance. Accurate estimation of these derivatives is essential for developing advanced ...
  • Design and Simulation of an AI-Assisted Autonomous UAV-Surveillance System 
    Naeem, Muhammad (School of Electrical Engineering and Computer Science (SEECS), NUST, 2024)
    During the last decade, Unmanned Aerial Vehicles (UAVs) have found their way into different industries ranging from mapping, 3D modeling to thermal inspection. They offer some major benefits over the traditional methods ...
  • Low Cost and Effective Hardware Trojan Mitigation Techniques for Approximate Systems 
    Kiani, Raja Muhammad Zohaib Tariq (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    In the realm of computing, AC stands as a promising frontier,offering efficiency and speed. However, it has been reported in the technical literature that most of the ex isting AC designs are prone to hardware attacks. ...
  • High Gain Beam Scanning Antenna using Ridge Gap Waveguide Technology 
    Abid, Adeel Bin (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2024)
    In this thesis diverse aspects of antenna design and performance, encompassing the evaluation of transmission line technologies and the development of advanced antenna arrays. Initially, a comparative analysis is conducted ...
  • Cricket Video Summarization Using Temporal CNNs 
    Raza, Fahd (School of Electrical Engineering and Computer Science, (SEECS), NUST, 2024)
    In this study, a new method for the summarization of very long cricket videos through the employment of an enriched deep learning approach is proposed and utilises the inherent feature of a Three-Dimensional Convolutional ...
  • Semantic Segmentation of Forest Regions from Satellite Imagery using Transformers 
    Shah, Nermeen (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
    Forest conservation is essential to combat global warming, climate change, and threats to global biodiversity. This necessitates innovative technological solutions for effective forest monitoring and management. This ...
  • Design of optimized nonlinear control laws for navigation of UAV systems 
    Khan, Idrees (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    In the rapidly evolving field of unmanned aerial vehicles (UAVs), the precise trajectory tracking of quadcopters has become increasingly critical. Advanced control strategies are essential to enhance the performance and ...
  • Optimized non-linear control of a multi-rotor UAV system 
    JADOON, AHSAN NAWAZ (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
    This thesis presents a comprehensive study on advanced control paradigms for bi-copter UAVs, with a particular focus on enhancing stability, precision, and efficiency. The research primarily investigates the performance ...

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