Robotics and Intelligent Machine Engineering: Recent submissions

  • Hood Khizer, Supervised By Dr Hasan Sajid (SMME-NUST, 2018)
    In this thesis we present a novel approach of developing correspondence cost matrix to improve the data association phase by fusing data from multiple sources. Our cost matrix is composed of both position and visual cues ...
  • Ahmad Mansoor, Supervised By Dr Hasan Sajid (SMME-NUST, 2019)
    License plates provide the unique signature used for vehicle identification worldwide. With pervasiveness of cameras, accurate recognition of plates has becoming an increasingly popular machine-vision problem and has gained ...
  • UMER JAVAID, Supervised By Dr Hasan Sajid (SMME-NUST, 2019)
    Banking sector at the core is responsible for holding of financial assets in any economy. Bank Failure has far greater effect on the overall economy of a country than any other businesses. It can quickly spill over to other ...
  • Naaman Naz, Supervised By Dr Hasan Sajid (SMME-NUST, 2018)
    In many applications in recent days, facial detection is being widely used as a measure of security feature in these applications. However, even with many robust facial detection techniques, these systems can be easily ...
  • Kashbah Kiyani, Supervised By Dr Hasan Sajid (SMME-NUST, 2018)
    This thesis presents a novel method for crowd counting in static images under varying crowd density conditions. Existing methods for crowd counting suffer from poor performances due to camera limitations and crowd ...
  • NAJWA FAROOQ, Supervised By Dr Syed Omer Gilani (SMME-NUST, 2018)
    Computer Aided Diagnosis (CAD) has been a major research subject for diagnosing pathologies using computer vision and artificial intelligence. Human body is composed of 206 long, short and irregular bones. Bones are very ...
  • Saad Bin Yousuf, Supervised By Dr Hasan Sajid (SMME-NUST, 2018)
    Attire or clothing is a very important part of any one’s life. The way a person dresses defines his personality. In the age of data, it is very important to correctly detect and classify attire for various reasons. Attire ...
  • Salman Maqbool, Supervised By Dr Hasan Sajid (SMME-NUST, 2018)
    We propose a deep learning based semantic segmentation algorithm to identify and label the tissues and organs in the endoscopic video feed of the human torso region. Our contributions in this project are two-fold: first, ...
  • MUHAMMAD AMMAR HASSAN, Supervised By Dr Syed Omer Gilani (SMME-NUST, 2018)
    Human detection in thermal infrared images postures a difficult challenge because infrared images have a lot of noise and they have very low resolution. We use Local Adaptive Steering Kernel (LASK) method to extract features ...
  • NAVEED ANJUM, Supervised By Dr Shahid Ikram Ullah (SMME-NUST, 2018)
    Early product development is dire need of the current era of industrial revolution. Product development process has been accelerated using Flexible Manufacturing Systems (FMS). Allocation of resources to jobs and their ...
  • FAISAL MEHMOOD, Supervised By Dr Yasar Ayaz (SMME-NUST, 2018)
    Children are typically divided into three major categories. They are: autistic, down syndrome and typically developed children. In this research, we will be dealing with autistic children. Autistic children are biologically ...
  • SAMEEN NAZ, Supervised By Dr Murtaza Najabat Ali (SMME-NUST, 2018)
    Streaming videos from multiple cameras mounted on an unmanned aerial vehicle is desirable for applications such as rescue and search, remote sensing, aerial mapping and disaster response. In this research, the goal is to ...
  • Zaid Tahir, Supervised By Dr Yasar Ayaz (SMME-NUST, 2018)
    Rapidly-exploring Random Tree star (RRT*) has recently gained immense popularity in the motion planning community as it provides a probabilistically complete and asymptotically optimal solution without requiring the ...
  • Muhammad Rizwan, Supervised By Dr Syed Omer Gilani (SMME-NUST, 2017)
    In this project we, propose a novel eye-gaze tracking interface that can work with a normal HD web camera. The developed framework can be used to create eye movement datasets, running behavioral experiments with images, ...
  • ZAID AHSAN SHAH, Supervised By Dr Yasar Ayaz (SMME-NUST, 2017)
    The Central Pattern Generator for Humanoid Robots based on Preview Control has certain limitations at which the system becomes unstable or unsolvable. Two of these corner cases are lack of actuation (reduction in the number ...
  • Bushra Saeed, Supervised By Dr Syed Omer Gilani (SMME-NUST, 2017)
    Electromyographic signals have a considerable importance in robotic hand prosthesis and various biomedical applications. The analysis of these signals for pattern recognition of arm movements is helpful to facilitate the ...
  • Osama Jamil, Supervised By Dr Syed Omer Gilani (SMME-NUST, 2017)
    Various computer vision techniques are used to provide vision to machines and robots to provide them with the ability to become aware of the surroundings. Its becoming very vital area of research due to vast applications ...
  • Husnain Ahmad, Supervised By Dr Yasar Ayaz (SMME-NUST, 2017)
    This manuscript presents a novel modular layer architecture to make human robot interaction more natural and socially acceptable. The proposed framework employs Haar cascade features to classify the human subject for an ...
  • Faizan Ahmed, Supervised By Dr Yasar Ayaz (SMME-NUST, 2016)
    Stroke and paralysis are the third-most prevalent causes of death and most common cause of disability on a global scale. Although, no large-scale epidemiological studies have been conducted to determine the number of ...
  • Shehryar Ali Khan, Supervised By Dr Yasar Ayaz (SMME-NUST, 2016)
    Mobile robots are the future of modern day vehicles and their collision is one of the major concerns and challenges which is a very active eld of research these days. As the number of vehicles increasing, the complexity ...

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