MS: Recent submissions

  • Yousaf, Zeeshan (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08)
    This study depicted maximum power extraction from perovskite solar cells under the noticeable current density – voltage (J-V) hysteresis. The main objectives of this study were to analyze the impact of scan rate on the ...
  • Nadeem, Hajira (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-08)
    This paper introduces a groundbreaking advancement in electric vehicle technology: a sophisticated single-stage battery charger featuring an isolated bridgeless (BLS) CukSEPIC converter (CSC). Operating seamlessly in ...
  • NOUMAN, MUHAMMAD (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-06)
    This thesis presents an innovative and efficient approach to track multiple objects in a video sequence by integrating state-of-art You Only Look Once (YOLO) object detection framework with efficient Reduced Order ...
  • AFTAB, MUHAMMAD ALI (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-07)
    Alzheimer's Disease (AD) is a pervasive neurodegenerative ailment, affecting a vast population globally and posing challenges for early and precise diagnosis within medical image analysis. Although machine learning and ...
  • Arif, Muhammad Nouman (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-07)
    Cascaded H-bridge 5-level inverters (CHB-5LIs) have gained significant traction in high-power applications owing to their capacity to generate fine quality output voltage with minimal harmonic distortion. However, their ...
  • Aini, Qurat Ul Ain (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    Federated Learning (FL) has arose as a groundbreaking approach in distributed machine learning, enabling collaborative global model training while upholding data privacy and security. This research highlights the importance ...
  • Bukhari, Syed Hassaan Ahmed (College of Electrical & Mechanical Engineering (CEME), NUST, 2017)
    Sudden Cardiac death is the major cause of death and it causes more than 300,000 deaths annually in the United States. Spontaneous Ventricular Tachyarrhythmia (VTA), Myocardial Infarction (MI), Cardiomyopathy (CM) and ...
  • NAQVI, SYED KASHIF ABBAS (College of Electrical & Mechanical Engineering (CEME), NUST, 2017)
    The mode of communication in this era has moved from slow communication to click & connect concept. The BURQ( lightening thunder) speed of modern communication is materialized due to incredible spread of Internet; making ...
  • SADIA, HALEEMA (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    The increasing demands for high throughput in the 5G are posing different challenges for the design of access schemes. To meet these challenges, new multiple access (MA) schemes are being developed. Non-orthogonal multiple ...
  • AIMEN, UMM-E- (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    In manned control systems, a human operator serves the role of the central integrator of system operations. In autonomous control systems, the control is more challenging for which the control scheme should be robust to ...
  • Iqbal, Hafsa (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    Orthogonal frequency-division multiplexing (OFDM) is a multicarrier modulation scheme, used in various applications such as audio broadcasting, wireless networks and 4G mobile communications. OFDM supports high data rate ...
  • Shah, Syed Afaq Ali (College of Electrical & Mechanical Engineering (CEME), NUST, 2014)
    Split ring resonators is the current field of research in metamaterials to achieve invisibility in microwave.SRR are also used in bio medical industry and research. The uses of SRR is not only limited to biomedical but ...
  • Ali, Syed Muhammad Ammar (College of Electrical & Mechanical Engineering (CEME), NUST, 2015)
    Leaky Wave Antenna (LWA) is currently an immensely vibrant topic in the research circles related to Antennas. Leaky Wave Antenna offers some distinct features which are not easy to obtain from its counterpart antennas. ...
  • SAEED, TARIQ (2014)
    Design of electronically tunable filters at UHF band is presented. Design techniques for two different filter topologies namely combline and interdigital are studied and compared. In the design of tunable Filters, the goal ...
  • SAJID, SHAH ZAIN (College of Electrical & Mechanical Engineering (CEME), NUST, 2024)
    Switched Reluctance Motors (SRMs) exhibit significant potential for supplanting conventional motors owing to their advantageous attributes such as a low torque-to-weight ratio, a winding less rotor design, and reduced ...
  • Ali, Waqar (College of Electrical & Mechanical Engineering (CEME), NUST, 2016)
    Abstract In this thesis we study the cooperative output regulation of linear multi-agent systems and leader-following formation problem of multi-robot systems under switching network. In case of cooperative output regulation ...
  • GUL, SADDAM (College of Electrical & Mechanical Engineering (CEME), NUST, 2024-01)
    Switched Reluctance Motors (SRM’s) with the attributes of lite weight, high torque inertia ratio and winding-less rotor design are considered suitable motors for Electric Vehicles (EV’s). But complex drive design, lack ...
  • Malik, Wahid Yaqoob (College of Electrical & Mechanical Engineering (CEME), NUST, 2016)
    In this thesis a broadband power amplifier has been designed, fabricated and tested operating at X-Band. The Amplifier is designed in hybrid cascade configuration consisting of three stages, implemented on Roger’s substrate ...
  • Haider, Syed Zeeshan (College of Electrical & Mechanical Engineering (CEME), NUST, 2016)
    The research work presents modulating robustness algorithm for system of unmanned air vehicle more specifically system of missile which is based upon scenario approach having probabilistic framework. Multiple robust control ...
  • Unknown author (College of Electrical & Mechanical Engineering (CEME), NUST, 2023-12)
    Reconstructing fine features of natural images from functional Magnetic Resonance Imaging (fMRI) of never-before-seen data is challenging. Acquiring a large-scale fMRI from a subject viewing natural images is a highly ...

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