Electrical Engineering: Recent submissions

  • Wavelength Shift Keying for Energy Harvesting in Ground-to-Air Free Space Optical links 
    Khan, Fatima (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Free Space Optical-Unmanned Aerial Vehicle systems are attractive for delivering Fifth generation Mobile Network (5G) wireless communication services, leveraging the flex ibility of Network Flying Platform (NFP) and the ...
  • Temperature Control in Membrane-type Microheaters 
    Atiq, Maria (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Joule heating, a fundamental phenomenon, holds immense importance across diverse practical domains in science and technology. Its relevance has been further accentuated by advancements in semiconductor devices, MEMS ...
  • Large Silicon Photonic Gratings with High Directionality for FSO and LiDAR Applications 
    Majeed, Barira (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Traditionally, studies on grating couplers have focused on achieving high coupling efficiency for chip-to-fibre grating coupler or obtaining large MFD or high directionality separately, which has resulted in less-than-ideal ...
  • Dual Stage Amplification for All-Optical Amplify and Forward Relays in FSO Links 
    Abid, Aasma (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    The study investigates the performance enhancement of Free Space Optical (FSO) communication systems through the integration of an All Optical Amplify-and-Forward (AOAF) Relay and dual-stage amplification, utilizing ...
  • Liquid Based Reconfigurable Metasurface for Beam Steering Applications 
    Ashfaq, Mubashir (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Beam steerable antennas find their applications in diverse areas such as satellite communication systems, AESA and PESA Radars and millimeter wave communication systems in order to maintain a continuous link between ...
  • RL-Based Controller of Fixed Wing UAVs for Tracking Moving Targets 
    Ahmed, Mehreen (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2024)
    Unmanned Aerial Vehicles (UAVs) have witnessed a surge in applications across various domains, and while past research offers comprehensive material on conventional control, new applications require innovative control ...
  • Introducing the Redundancy to Achieve Reliability in a Wireless Sensor Network2012 
    Fiaz, Mahzeb; Maryam, Hanfi; Roomana, Yousaf (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2012)
  • Robust Skin Lesion Segmentation from Dermatological Images 
    Farooq, Hamza (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Segmentation of skin cancer from digital images is crucial for accurate disease diagnosis and support system for computer-aided diagnosis (CAD) on mobile platforms. However, the irreg ular shapes of the lesions, the absence ...
  • High bit rate Free Space Optical link based on Pulse Position Modulation and DPSK 
    Khan, Umair Ali (School of electrical engineering and computer science (SEECS)-NUST, 2024)
    Optical Wireless Communication (OWC), with its high bandwidth, easy deployment, no license requirements, protection from electromagnetic interference (EMI) and enhanced security, has emerged as a frontrunner for ...
  • Adversarial Attacks on Video Recognition Models 
    Gul, Namra (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2024)
    This thesis explores the vulnerability of video recognition models, specifically C3D, P3D, and Q3D, to adversarial attacks using the Crimes Scene dataset. Through rigorous testing involving seven distinct attack strategies, ...
  • Design & Development of Single Layer Corporate Fed Monopulse Planar Array Antenna 
    Waseem, Muhammad (Electrical Engineering in School of Electrical Engineering & Computer Science, (SEECS), NUST, 2024)
    Monopulse antenna systems are employed to determine direction-of-arrival (DoA) where the angle of arrival (AoA) is measured on a single pulse. One of the most significant advantages of this type of system is its speed ...
  • Design of a Vehicular Antenna Array for Ku-Band Applications 
    Jawad, Muhammad (Electrical Engineering in School of Electrical Engineering & Computer Science, (SEECS), 2024)
    Modern cars can now be equipped with innovative features and services like digital and analog audio video broadcasting, cell phones, GPS, satellite radio, and the capacity to use artificial satellites to create ...
  • Beam Steerable Antenna Using Liquid Based Reconfigurable Beamforming Circuit 
    Iqbal, Sohail (NUST School of Electrical Engineering and Computer Science ( SEECS-NUST), 2024)
    Beam-steerable antennas play a crucial role in various standards and applications, particularly gaining significance in millimeter-wave bands. Their adaptability to adjust the radiation pattern direction, flexibility, ...
  • Text Classification Using NLP 
    Fahid Bin Tariq (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2024)
    This research is based on the fine tuning of BERT model and applying long short term memory layers (LSTM). Bert which is already well known for text classification is being used along with other layers to further enhance ...
  • Improving Charging Time of Li-Ion Batteries Using Non-Linear Controller 
    Tariq, Najam Ul Saqib Ahmed (School of Electrical Engineering and Computer Science, (SEECS) NUST, 2024)
    Among lead acid, nickel-cadmium and other technologies, lithium-ion Batteries are the most popular type because of their superior performance evidenced by very high energy and power density, a long lifecycle, low discharge ...
  • MRI-based Brain Tumor detection using Deep Learning Techniques 
    Qureshi, Ammar Ahmed (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2024)
    Automated brain tumor detection is vital for early identification of tumors, enabling timely medical intervention and improving overall tumor detection outcomes for patients. This study proposes a novel approach that ...
  • Boosting Ensemble of CNN for Vision 
    Yasin, Muddasar (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2024)
    This study investigates methods to enhance the accuracy of Convolutional Neural Net works (CNNs) through the application of Boosting Ensemble methodologies. The re search covers diverse image datasets, including CIFAR-10, ...
  • Unit Prediction Horizon Constrained Model Predictive Control for Plug-in Hybrid Electric Vehicle 
    Ahmed, Afaq (School of Electrical Engineering and Computer Sciences, SEECS (NUST), 2024)
    Plug-in hybrid electric vehicles (PHEVs) provide a good alternative in achieving better performance and in the reduction of harmful gas emissions. The hybrid energy storage system (HESS) and the integrated charging unit ...
  • Enhancing Load Forecasting using Deep Learning Techniques: A Comparative Study of Time Series Models. 
    Memon, Ruweda (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2024)
    Accurate load prediction is of utmost importance in order to efficiently allocate resources and plan systems in various domains. This research presents a comparative analysis of statistical methods and deep learning ...
  • GRAPHENE BASED RECONFIGURABLE ANTENNA DESIGN 
    Gulzar, Asif (NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)
    This thesis presents a comprehensive research plan to explore the potential of graphene for antenna design in the terahertz (THz) frequency range. Graphene, a single layer of carbon atoms arranged in a hexagonal lattice, ...

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