Electrical Engineering: Recent submissions

  • Khan, Amir (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    This research presents a distinct spatio-temporal deep learning model for fall detection by combining two spatio-temporal models. First is a skeletal model that extracts human pose landmarks using Mediapipe pose estimation ...
  • Khalid, Maawa (School of Electrical Engineering and computer Science (SEECS), NUST, 2021)
    A passive optical link for duplex data transmission operating at 20 Gb/s is designed using a single laser and fiber. A transmission distance of 55km is achieved by providing a cost efficient design with a low complexity ...
  • Deen, Tejan Abu (School of Electrical Engineering and computer Science (SEECS), NUST, 2021)
    Plugin hybrid electric vehicles (PHEVs) are acquiring the attention of transportation industries due to their clean energy storage system. The power subsystem of PHEV includes the charger and hybrid energy storage system ...
  • Azeem, Muhammad Kashif (School of Electrical Engineering and computer Science (SEECS), NUST, 2020)
    Plugin hybrid electric vehicles (PHEVs) are getting the attention of electric transportation market and the end-users. They comprise of smart charging mechanism and a hybrid energy storage system (HESS). In this study, a ...
  • Bilal, Muhammad Ahsan (School of Electrical Engineering and computer Science (SEECS), NUST, 2020)
    Human Immunodeficiency Virus (HIV) is an extremely dangerous and can lead to Acquired Immune Deficiency Syndrome, if not treated timely and effectively. It reduces the CD4 + T cells (type of white blood cells), decreasing ...
  • Tahir, Muhammad Nabeel (School of Electrical Engineering and computer Science (SEECS), NUST, 2021)
    All around the world many different industries are trying to make products which are shown more effective and have provided more efficient results but still they are less interesting and have less effect in engaging the ...
  • Khan, Muhammad Hassan (School of Electrical Engineering and computer Science (SEECS), NUST, 2022)
    RF and microwave measurements are crucial to validate the performance of any microwave component or network. Such characterization is carried out using a sophisticated and complex instrument namely Vector Network ...
  • Malik, Ali Shafiq (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    Magnetic Levitation Systems are used to levitate a ferromagnetic object in the air without any support. It has a wide area of applications because it eradicates energy losses that occur due to friction of the surface. ...
  • Khan, Mahnoor (School of Electrical Engineering and computer Science (SEECS), NUST, 2020)
    With the increase in global IP traffic it is becoming important in optical networks to estimate the Quality of Transmission (QoT) of new lightpaths before their establishment. The traditional approaches used to estimate ...
  • Tanveer, Tuba (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    In the current century, internet and communication is as important for human beings as is oxygen for survival. The modern world is entirely dependent on internet for all its personal and professional dealings. Keeping n ...
  • Ain, Qurat Ul (School of Electrical Engineering and computer Science (SEECS), NUST, 2020)
    With growing demand of food, the world has adapted synthetic fertilizers so rapidly. Due to which there are other critical issues rising every day including the fact that food we eat is not much healthy. Also, synthetic ...
  • Arsalan, Muhammad (School of Electrical Engineering and computer Science (SEECS), NUST, 2018)
    The energy generating capability of a Photovoltaic (PV) system depends on the environmental conditions and the variation in load connected to it. The performance of controller used for maximum power point tracking (MPPT) ...
  • Farooqui, Faiq Faizan (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    With increased digitization of documents over the past decades, the task of word spotting has acquired much significance in the field of document analysis and recognition. Deep learning has revolutionized many fields ...
  • Ahmad, Ayaz (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    Advanced system-on-chip (SoC) designs use large number of intellectual property (IP) blocks being acquired from third-party vendors. However, a single vulnerable IP can compromise the trustworthiness of an entire SoC, e.g., ...
  • Ahmed, Jawad (School of Electrical Engineering and computer Science (SEECS), NUST, 2021)
    Most challenging problem that is faced while applying deep learning solutions to any problem is to find large amount of data. A recent breakthrough that is being looked as a solution to this problem is, GANs (Generative ...
  • Gilani, Syed Qasim (School of Electrical Engineering and computer Science (SEECS), NUST, 2018)
    The increasing demand for data traffic can be answered by effective utilization of spectrum through Full Duplexing(FD) Heterogeneous Networks(HetNets).We can achieve better results bys using both Full Duplex and Half ...
  • Naeem, Mohammad Omer (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    Model compression is an essential technique for reducing redundancy in deep neural networks (DNNs), that enables their efficient deployment on a variety of hardware ranging from GPU clusters in data centers to highly ...
  • Murtaza, Shahid Ali (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
  • Hussain, Shahid (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    RISC-V is an open source modular ISA and is becoming a popular choice for building custom solutions. As the core’s usage in SoCs and micro-controllers grows, engineering teams face new verification challenges related ...
  • Khan, Ihsan Ullah (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    All-Optical Signal regeneration schemes proposed for better performance are generally based on exploiting non-linearities of the fiber material. We pro pose a novel All-Optical Signal Regenerator that performs regeneration ...

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