MS: Recent submissions

  • Biomimetic Study of Hydrodynamic Analysis of Flapping Fish 
    Ossama Hafeez, Supervised by Dr Emad Uddin (SMME, 2021)
    The need to depend on ocean is increasing day by day and hence to cope with the demand one must be advance in the field of bio-mimics to fully understand its ideology. The world of Bio-Mimics has deeper roots in the robotic ...
  • Vehicle Speed Estimation with 3D Bounding Boxes 
    MUHAMMAD SAFDAR, Supervised by Dr HASAN SAJID (SMME, 2021)
    Speed Estimation makes use of computer vision and machine learning algorithms in order to detect, keep track, and estimate speed of vehicle under surveillance. Speed estimation can be integrated with other traffic analysis ...
  • INFLATION FORECASTING FOR PAKISTAN USING MACHINE LEARNING METHODS 
    MUHAMMAD FAWAD INAM, Supervised by Dr Hasan Sajid (SMME, 2021)
    Economic indicators are vital for any country to make better financial and policy making decisions. Well informed and timely decision are important keeping in view the pace of production, accessibility and supply chains. ...
  • Anti-spoofing for single camera-based face recognition systems 
    ALI RAZA, Supervised by Dr Hasan Sajid (SMME, 2021)
    Facial recognition is one of the most extensively researched fields in computer vision and machine learning domain. The field has particularly benefited from the recent advancements in technology leading to production of ...
  • Learning to Recognize with few Examples (Few-Shot with Meta-Learning) 
    SHEIKH ADEEL AHMED, Supervised by DR HASAN SAJID (SMME, 2021)
    Few samples learning (FSL) is significant and challenging in the field of machine learning. The main challenge of few-shot learning is the deficiency of samples. Training on much smaller training sets while maintaining ...
  • Consistency based Semi-Supervised Learning for Table Detection 
    Afaq Ahmad, Supervised by Dr Syed Omer Gilani (SMME, 2021)
    A large number of comprehensive variety documents are consist of scanned images, in which tables stored summarized facts and valuable information structurally. Detection of tables is the initial step in extracting valuable ...
  • Rapidly Re-planning RRT* A Novel Re-Planning Algorithm 
    USAMA TARIQ KHAN, Supervised by Dr YASAR AYAZ (SMME, 2021)
    Sampling based motion planning algorithms such as RRT* provide an optimal path from a start to goal point. However, any change in either of these points requires re-spawning of the tree from scratch or using a multi-query ...
  • Design of a Non-linear Controller for a Multi-Rotor UAV 
    MUHAMMAD OMER ZAHID, Supervised by Dr KARAM DAD KALLU (SMME, 2021)
    Multi-rotor unmanned aerial vehicle (MUAV) has gathered a lot of interest from the research community owing to its simple structure, easy maneuverability and ability to take-off and land vertically. These characteristics ...
  • DEEP LEARNING FOR SOLAR GHI FORECASTING IN ISLAMABAD 
    SYED ALTAN HAIDER, Supervised by Dr Muhammad Sajid (SMME, 2021)
    The growing threat of global climate change stemming from the huge carbon footprint left behind by fossil fuels has prompted interest in exploring and utilizing renewable energy resources. Solar energy being one of the ...
  • Bank Failure Predication using Deep Learning. 
    Shahid Iqbal, Supervised by Dr Hasan Sajid (SMME, 2021)
    Banking sector is principally responsible for holding financial assets/resources in any country’s economy. Therefore, Bank Failure has far greater impact on the overall economy of a country compared to any other business. ...
  • Urdu Optical Character Recognition. 
    Syed Wajih Ul Hassnain Shah, Supervised by Dr Hasan sajid (SMME, 2021)
    Existing commercial software such as ABBY and Google vision API provides support for Arabic and Urdu text. Still, accuracies are low because of the writing style of a non-Latin text. OCR for Urdu started way back in 2003 ...
  • Physiological sensing from facial Videos using Deep Learning. 
    Muzaffar Hussain, Supervised by Dr Hasan Sajid (SMME, 2021)
    Non-contact video-based physiological measurement has many applications in health care and human-computer interaction. Contactless health monitoring has become increasingly important during the SARS-CoV-2 pandemic, and ...
  • Optimal Area Selection in Whole Slide Images for Cell Morphological Analysis. 
    Adil Nawaz Khan Niazi, Supervised by Dr Hasan Sajid (SMME, 2021)
    Human pathologists perform pathological diagnosis by analyzing the stained specimen on a glass slide under a microscope. But in recent years, multiple scanners have been introduced which can capture the entire stained glass ...
  • Prediction of Short-Term & Long- Term Video memorability. 
    Amna Ashiq, Supervised by Dr Syed Omer Gilani (SMME, 2021)
    With the explosion of user-generated video material on sites like Facebook and YouTube and e-learning platforms like Coursera, Udacity, and Udemy, new approaches for categorizing, annotating, and retrieving digital ...
  • Estimation of Drag Coefficients of Vehicle Platoons using Machine Learning. 
    Farwa Jaffar, Supervised by Dr Muhammad Sajid (SMME, 2020)
    Machine learning is used for extraction of valuable information from data thus helping in exploration of hidden patterns, leading to learning models that can be used for prediction. In the domain of autonomous vehicles ...
  • Design and Control of Flapping Wing Unmanned Arial Vehicle Mimicking Falcon 
    Haider Ali, Supervised by Dr Kashif Javed (SMME, 2021)
  • Integration of Continuous Wavelet Transform and Convolutional Neural Network for Multiclass EEG Dataset Classification 
    Sidra Naseem, Supervised by Dr Kashif Javed (SMME, 2021)
    This thesis presents a novel method for EEG classification in time-frequency domain using deep learning architecture. Existing deep learning architectures suffer from poor performance when classifying EEG data in Time-frequency ...
  • Estimation of Cognitive State Improvement using EEG Brain Imaging after TDCS Stimulation Therapy 
    Mudassar Ayub, Supervised by Dr M Jawad Khan (SMME, 2021)
    Brain is the most important organ in human body. The effects of brain impairment are wide ranging and includes cognition, fatigue, sleep issues, headaches, dizziness, impaired self-awareness, clinical depression, attention ...
  • Determining the Controller for Efficiently Emulating Swarm Behavior 
    Muhammad Awais Yaqoob, Supervised by Dr M Jawad Khan (SMME, 2021)
    In cooperative robotics, the maintenance of a geometric structure during movement is a key challenge. A multi-layered and distributed control system based on the leader–follower technique is proposed as a solution for the ...
  • Fruits Category Identification and Infected part Detection Using Deep Learning 
    Zaid Ismail, Supervised by Dr M Jawad Khan (SMME, 2021)
    Agriculture Sector is responsible for providing a living or sustainable income to the majority of the population in the world. In Pakistan, agricultural plays a very vital role for the development and stability of the ...

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