MS: Recent submissions

  • Single Stage and Dual Stage Amplification for All-Optical Amplify and Forward Relays in FSO Links using DQPSK Signal 
    Ahmad, Hafiz Muhammad (School of Electrical Engineering and Computer Science,(SEECS) NUST Islamabad, 2024)
    Free-Space Optical (FSO) communication networks offer ultra-fast data transmission that exploits license-free spectrum and are also a good replacement of the traditional communication technologies. While multiple ...
  • Brain Tumor Detection Using Deep Neural Networks 
    Rubab, Sara (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    After cardiovascular disease, cancer is the second major cause of death. Brain tumors really do have the lowest overall survival rate of any type of cancer. Brain tumors are classified according to their morphologically, ...
  • GRAPHENE BASED OPTICAL MODULATOR USING FINITE DIFFERENCE TIME DOMAIN METHOD 
    Saeed, Adan (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    The thesis titled "Graphene Integrated Optical Modulator" investigates the performance and potential of graphene-based optical modulators in advancing optical communication systems. Utilizing the Finite-Difference ...
  • Versatile Gaze Tracking Approach 
    Fatima, Mushkbar (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    This research is aimed at the development of a versatile tool that couples gaze tracking technology with image matching techniques in an efficient manner. The developed software can easily identify and highlight areas ...
  • Facial Detection with mask 
    Mughal, Muhammad Uzair (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Since the advent of COVID-19 pandemic the problem of masked facial recognition has seen tremendous spike in both practice and academia. Existing state-of-the-art facial recognition models have struggled to accurately ...
  • ExtractID: Deep Information Extraction from Identity Documents 
    ZAIN UL ABIDIN, SYED (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Efficient extraction of information from identification documents, such as Computerized National Identity Cards (CNICs), is a pivotal aspect in modern document analysis and information retrieval systems. Traditional Optical ...
  • Optimized nonlinear control for solid state transformer based electric locomotives with hybrid energy backup 
    Moqueet, Abdul (NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)
    Transportation sector demands innovative drive technologies for emission reduction with solid state transformers (SSTs) integration offering potential advancements. The transition from conventional transformers to SSTs ...
  • Tightly Coupled Integration of GNSS and IMU sensor 
    Babri, Usman Muhammad (School of Electrical Engineering and Computer Science, (SEECS), NUST, 2024)
    The objective of this research is to investigate the potential benefits of integrating Inertial Measurement Units (IMU) with Global Navigation Satellite Systems (GNSS) in order to attain accurate positioning. This research ...
  • Shadow Removal using Attention-based GANs 
    Shahid, Mavrah (NUST School of Electrical Engineering and Computer Science (NUST SEECS), 2024)
    Shadows are natural artifacts present in images that can hinder various Computer Vi sion tasks such as object detection, tracking, segmentation, and scene analysis. This research introduces an innovative approach to detect ...
  • Portable Power Station and UPS Embedded with MPPT PV Charger and BMS 
    Iqbal, Junaid (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Electric energy is the basic demand in the era of electronic gadgets. Energy access is a significant challenge for the people who are lovers of camping and travelling. Our Portable Power station is a best product not ...
  • Data-Driven modelling and control of ungauged Watershed: A Case-Study of Namal Lake 
    Tariq, Hamza (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    This thesis considers the effective management of reservoirs in ungauged watersheds at mon soon margins prone to extreme hydrological events of droughts and flash floods. Prioritizing modeling and management of vulnerable ...
  • Classification and Processing of Communication Signals through Deep Learning 
    Athar, Yaseen (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    The field of Artificial Intelligence has found applications in many different fields ranging from Robotics, Computer Vision to Bio-Medical Imaging and even Communication Sys tems. In recent years, the use of deep learning ...
  • Sensorless Predictive Current Control of Multiphase Buck Converter for MPPT Application 
    Abbasi, Muhammad Umar (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2024)
    The commercial MPPT solar charge controllers are mostly single phase buck converters which take the power from solar panels and charge the battery bank connected at the output as well as provide power to the DC loads. As ...
  • FTCiM: FFT Based In-Memory Convolution for Efficient Processing of Neural Networks 
    Sarfraz, Kamran (School of Electrical Engineering & Computer Sciences (SEECS), NUST, 2024)
    Fast Fourier Transform has been used in machine learning accelerators for efficient im plementation of convolution. In this paper, we introduce a novel architecture known as the Fast Fourier Transform Based In-Memory ...
  • Analysis of CoMP-Assisted Cooperative NOMA for Enhanced Coverage 
    Jameel, Syed Muhammmad (School of Electrical Engineering and Computer Science, (SEECS), NUST, 2024)
    The demand for high data rates and enhanced capacity has increased in a few years and Non-orthogonal multiple access (NOMA) plays a vital role in achieving this. Millimeter-Wave (mmWave) frequency band (30 GHz - 300 GHz) ...
  • Atrial Segmentation using Deep Learning 
    Arif, Arooj (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)
    Measurements of the left atrium are key indicators for aprior prediction of heart disease. The intricate and complex nature of cardiac anatomy necessitates precise segmentation. This work presents a deep learning based ...
  • 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 ...

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