MSEE: Recent submissions

  • Performance Analysis of NOMA En- hanced Backscatter Communication for Green IoT Networks 
    Nazar, Ahsan Waleed; Supervised by Dr. Syed Ali Hassan. (MCS, 2020-08)
    Backscatter communication (BackCom) has been emerging as a prospective candidate in tackling lifetime management problems for massively deployed Internet-of-Things devices, which suer from battery related issues, i.e., re- ...
  • Denoising of Medical Videos through Probabilistic Model 
    Bangsah, Rubab Fatima; Supervised by Dr. Imran Tauqir. (2020-07)
    Wavelet based statistical image denoising is vital preprocessing technique in real world imaging. The existing techniques are based on time-frequency domain where the wavelet coefficients need to be independent or jointly ...
  • Improved Dual Color Space Dark Channel Prior for Single Image De-Hazing 
    Amjad, Shahzaib; Supervised by Dr. Syed Amer Ahsan Gilani. (MCS, 2020-08)
    Analyzing the environment and perform autonomous tasks such as identifying or recognizing the object, or navigating the route, the perceptual quality of outdoor scene image is important. One of the hurdles faced to carry ...
  • UWB Microstrip Patch Antenna with Reduced Radar Cross Section (RCS) 
    Azmat, Khadija; Supervised by Dr. Farooq Ahmad Bhatti. (MCS, 2020-08)
    The UWB platform has undergone several advances over the past decades due to its promising applications in both the military and commercial spheres. Due to its very-low profile, light weight, low transmission power, ...
  • Load Balancing in Software Defined Networks 
    Zainab, Sajeela; Supervised by Dr. Mir Yasir Umair. (MCS, 2020-09)
    Software Defined Network (SDN) has become a popular standard because of its advantages of centralized controlling and programmability for large-scale networks. In the world of digitization, high network traffic that needs ...
  • Convolutional Deep Learning Framework for Age Invariant Face Recognition 
    Khan, Muhammad Junaid; Supervised by Dr. Adil Masood Siddiqui. (MCS, 2020-07)
    Face recognition is diversely used in security scenarios such as surveillance, forensics, automatic photo annotation, fighting child trafficking and most importantly identification of criminals. Most of the face recognition ...
  • SDN Based Solution for Detecting and Mitigating Incast in Data Centers 
    Sarfraz, Muhammad Aqib; Supervised by Dr. Yawar Abbas Bangash. (MCS, 2020-07)
    The Internet of Things (IoT) and the Cloud Computing are the two emerging technologies which have seen a wide-scale adoption. Many IoT applications require cloud platform support for computing and storage purpose. Hence ...
  • Proposed Scheme for Overhead Reduction and Qos Provision in SDN-Based Data Center Networks 
    Safdar, Maliha; Supervised by Dr. Mir Yasir Umair. (MCS, 2020-08)
    Software defined Data Center Network (SDDCN) architectures need the flexibility, agility, scalability, and improved analytics for the efficient working and reliable networks. However, as the traffic load of the network ...
  • Missing Values Imputation & Classification Using Stream Mining Algorithms in Internet of Things (IoT) 
    Waheed, Marvi; Supervised by Dr. Hammad Afzal. (MCS, 2020-07)
    The Internet of Things (IoT) has established itself as an indispensable part of current age of user centric connectivity. The domain of IoT covers a widespread spectrum of daily life applications such as smart healthcare ...
  • Stock market prediction using probabilistic models 
    Siddiqui, Irtaza; Supervised by Dr. Imran Touqir. (MCS, 2020-05)
    Stochastic processes are frequently used in the assessment and follow-up of activities depending on restricted and unstable data. Various kinds of activities, including prediction, speech and gestures recognition and ...
  • Face recognition based on hidden markov model 
    Ali, Danish; Supervised by Dr. Imran Touqir. (MCS, 2020-01)
    Computational efficiency is a matter of great concern in state-of-the-art face recognition systems. In this thesis, four-state hidden markov model for face recognition is proposed. Face images are divided into a sequence ...
  • Compressed sensing based magnetic resonance image reconstruction using deep learning 
    Shah, Syed Usman Ali; Supervised by Dr. Adil Masood Siddiqui. (MCS, 2019-12)
    Magnetic resonance imaging (MRI) is an increasingly versatile diagnostic tool for various medical purposes. It is a non-invasive imaging modality that is not harmful for the patients unlike X-rays, Computed Tomography (CT) ...
  • Multi-exposure image fusion 
    Ajmal, Muhammad Idrees; Supervised by Dr.Hasnat Khurshid. (MCS, 2019-12)
    The high dynamic range (HDR) present in nature severely affects digital photography and produces saturated regions in captured images. This thesis proposes a novel pixel-wise multi-exposure image fusion algorithm to overcome ...
  • Tree classification using aerial imagery 
    Abubakr, Talha; Supervised by Dr. Hasnat Khurshid. (MCS, 2019-11)
    Type of a tree or species of a tree is its most extraneous property. Remote sensing has served as great solution to the problems related to manually acquiring data for tree species classification. Most of the studies in ...
  • Effective image dehazing using multi-objective optimlzation 
    Shaheen, Khdija; Supervised by Dr. Hasnat Khurshid. (MCS, 2020-03)
    Environmental issues like snow, rain and haze badly effect visibility of image. The degraded quality of images ineptly effects performance of automated surveillance and tracking systems. Images enhancement and dehazing has ...
  • Integration of faucet SDN controller with IXP-manager 
    Aziz, Zeeshan; Supervised by Dr. Hasnat Khurshid. (MCS, 2020-03)
    Internet eXchange Point (IXP) is a place where Internet Service Providers (ISP's), mobile operators and Content Delivery Networks (CDN's) connect to a layer 2 switch on an IXP-fabric to peer and exchange traffic between ...
  • Stability preseving frequency limited model reduction techniques 
    Zahid, Hira; Supervised by Dr. Muhammad Imran. (MCS, 2020-04)
    Model order reduction is the very challenging field of control system because the order of higher order system is reduce by using MOR. The mathematical models of high order dynamic systems can be described in different ...
  • High dimension signal denoising using wavelet transform 
    Jabbar, Muhammad Usman; Supervised by Dr. Imran Touqir. (MCS, 2020-02)
    Image denoising is one of the classical problems in digital image processing and has been studied for nearly half a century due to its important role as a pre-processing step in various electronic imaging applications. The ...
  • Optimization of wavelet based De-noising of 2D signals based on standard 
    Aksar, Zubeela; Supervised by Dr. Imran Touqir. (MCS, 2020-02)
    Hidden Markov model in wavelet field has lately become valuable technique for image processing. Hidden Markov tree model holds ability to capture the significant attributes of wavelet coefficients of data. In image processing, ...
  • Stable clustering technique for vehicular adhoc networks 
    Khan, Saira; Supervised by Dr. Abdul Waheed Khan. (MCS, 2020-02)
    Vehicular Ad-hoc Network (VANET) plays an important role in the realization of the intelligent transportation system (ITS) which leads to a plethora of new applications such as traffic safety, traffic management, and ...

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