Electrical Engineering: Recent submissions

  • X-band FMCW Radar for Infestation Monitoring of Grain Silos 
    Ali, Babar (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    The world population is increasing exponentially causing several problems, one being the food deficiency, that is also victimizing Pakistan. To control this food deficiency, the increase in crop production is one ...
  • Lyapunov Based Control of Battery-UC Hybrid Energy Storage System for Plug in Hybrid Electric Vehicles 
    Zil e Huma (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Plugin hybrid electric vehicles (PHEVs) are a suitable choice, to achieve enhanced performance and reduced toxic gases. The considered PHEV model consists of an integrated charging unit and a hybrid energy storage ...
  • Transformer Loss Analysis and Dynamic Performance of Isolated Dual Active Bridge DC-DC Converter under Triple Phase Shift Modulation 
    Akbar, Seema Mir (School of Electrical Engineering and Computer Science, (SEECS), NUST, 2023)
    Advances in power electronics over the last 30 years have enabled the re- alisation of highly efficient energy conversion systems. Such systems have found use in applications such as electrical networks and renewable ...
  • UAV-Assisted mmWave and THz-Enabled Hybrid Heterogeneous Network 
    Raja, Adil Ali (School of Electrical Engineering and Computer Science, (SEECS), NUST, 2015)
    Heterogeneous networks (HetNets) are becoming a promising solution for future wireless systems to satisfy the high data rate requirements. Specifically, with the advent of millimeter wave (mmWave) and TeraHertz (THz) ...
  • Performance analysis of Beamforming Techniques for THz enabled UAV networks 
    Rehmat-ul-Haq (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Unmanned Aerial Vehicles (UAVs) have emerged as a promising platform for various applications, including communication systems operating in the Terahertz (THz) frequency range. However, the efficient utilization of ...
  • MRI Image reconstruction using deep learning 
    Bhatti, Husnain Javid (School of Electrical Engineering and Computer Science, NUST, 2023)
    MRI is a non-invasive imaging modality that provides excellent soft tissue contrast as compared with other imaging techniques e.g., X-ray and CT, etc. MRI comes with the drawback of long scan time due to the slow ...
  • Invigorating Inter-Domain Routing Using Software Defined Spatial Networking 
    Basit, Abdul (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2012)
    Versatile applications over the Internet are producing unprecedented volume of data, flowing across the independently managed networking domains. Requirement of reliable communication, with better throughput and moderate ...
  • Spatial Modulation in Massive MIMO Systems 
    Saleem, Ayesha (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2014)
    In the last decade, a lot of work has been done on developing new ways of enhancing spectral efficiency in multiple-input multiple-output (MIMO) systems with lower implementation complexity. Spatial modulation (SM) is one ...
  • A Low-Latency ,Energy Efficient Cache-Enabled Cloudlet Selection Framework for Fog Networks 
    Basir, Rabeea (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2021)
    Exponential industrial development in all fields will result in an enormous number of smart device deployment.Deployment of internet of thing (IoT) applications is challengingbecauseoftheirstringentultra-reliable,low-late ...
  • Lung Disease Identification Using Machine Learning on HRCT Scans 
    Ashraf, Maham (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    This study focuses on the classification of five lethal lung diseases along with normal lung conditions,COVID-19, pneumonia,TB,CLDs and ILDs. In collaboration with two doctors, a real-time dataset is gathered, using ...
  • Evaluating the Potential of Home Energy Management Systems 
    Ahmed, Syed Ashhab Ur Rahman Iqbal (School of Electrical Engineering & Computer Sciences (SEECS), NUST, 2023)
    This research study describes an integrated Home Energy Management System (HEMS) that uses thermal models and Model Predictive Control (MPC) to optimise energy use for user comfort, power availability, cost reduction, ...
  • PERFORMANCE ANALYSIS OF OFDM AND CDMA BASED SATCOM SYSTEMS IN THE PRESENCE OF INTERFERENCE 
    Abdi, Syed Muhammad Ahmad (School of Electrical Engineering and Computer Science, NUST, 2023)
    This research work focuses on the analysis of the interference mitigation capabilities of SATCOM systems based on two different techniques, CDMA and OFDMA. The aim of this research is to evaluate the BER for different ...
  • Integrated Communication and Ranging Services in NextG Wireless Networks for Industry 5.0 
    Shah Zeb, Supervisor: Prof. Syed Ali Hassan (School of Electrical Engineering and Computer Science (SEECS), NUST, 2022)
    Industry5.0 vision, astep towards thenextindustrial revolution andenhancementto Industry4.0, envisionedthenewgoalsofresilient, sustainable, andhuman-centricapproaches in diverse emerging applications, e.g., factories-of- ...
  • Wearable Piezoelectric BioMEMS-based Sensor for SAR COV-2 (COVID-19) Virus Droplets Detec 
    Abdullah (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    As the recent pandemic Covid-19 being passed, it leaves the importance of viral diagnostics matter of fact in time factor as rapid detection as fast-growing as airborne. With previous molecular methods such as RT-PCR, ...
  • Modelling and Analysis of Age of Information in IoT Networks 
    Qamar Abbas, Supervisor: Prof. Syed Ali Hassan (School of Electrical Engineering and Computer Science (SEECS), NUST, 2022)
    Rapid rise in the number of communication devices for diverse applications with the advancement in network efficiency, has transformed the lifestyle of humans. The fifth-generation network endeavor to provide better capac ity, ...
  • Formal Verification of Dynamic Thermal Management for Many Core Systems 
    Syed Ali Asadullah Bukhari, Supervisor Dr. Osman Hasan (School of Electrical Engineering and Computer Science (SEECS), NUST, 2022)
    The advances in the transistor technology have resulted in the fabrication of tens of processing units or cores on a single chip. These multi-processor chips are widely known as Many-Cores and have largely replaced the ...
  • Symbol error rate minimization using deep learning approaches for short reach optical communication networks 
    Iqbal, Muhammad (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    The rapid expansion and development of communication networks and systems in the optical domain causes conventionally used methods in the transmission of long haul networks, to enter the systems that cover shorter ...
  • Multi-resolution Transform based Feature Extraction Techniques for Differentiating Glioma Grades using MRI Images 
    RAZIA ZIA (School of Electrical Engineering and Computer Science (SEECS), NUST, 2018)
    Medical image processing is one of the most attention gaining research areas that utilizes the technology for improving the quality of human life through a more precise and rapid diagnosis systems. This thesis focuses ...
  • Profiling Social Media Apps From Encrypted Traffic 
    Muhammad Asad Khan Sudozai (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Forensic analysis of social media applications has become a challenging area due to powerful encryptions. The increasing privacy requirements of users of social media apps are met through strong cryptographic architectures ...
  • Frequency Regulation of Power Grid with High Proportion of Type 4 Wind Power Generator Penetration 
    Shafiq, Arslan (SEECS National University of Science & Technology, 2023)
    Electric power is the backbone of every industrial development. Due to the increase in domestic and industrial development, the demand for electric power is increasing day by day. Conventionally, the power demand is ...

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