MS: Recent submissions

  • Real-Time Fabric Defect Detection using Deep Learning 
    WAQAR, ZAVEEN (School of Mechanical & Manufacturing Engineering (SMME),NUST, 2021)
    Defect detection in fabric production lines is a crucial and indispensable task to maintain quality in the textile industry. The current manual annotation scheme causes the fabric industry considerable losses. In order ...
  • EEG-fNIRS based hybrid Image reconstruction and classification for BCI 
    Mughal, Nabeeha Ehsan (School of Mechanical & Manufacturing Engineering (SMME),NUST, 2021)
    The ever-increasing human-machine interaction and advancement in socio-technical systems have made it essential to analyze the vital human factors such as mental workload, vigilance, fatigue, and stress, etc via monitoring ...
  • Multi-Layer Convolutional Neural Network Based Identification of Plant Category and Leaf Diseases 
    NAEEM, HAMMAS BIN (School of Mechanical & Manufacturing Engineering (SMME),NUST, 2021)
    Agriculture plays a major role in developing and improving the economy of a nation. It is the backbone of the global economy, the world's largest food source, and is responsible for ensuring a decent income for millions ...
  • Interfacing Niha With Nao (Nina) By Implementing Sensory-Motor And Perceptual Memory Units 
    Ahmed, Syed Kamran (School of Mechanical & Manufacturing Engineering (SMME),NUST, 2020)
    Cognitive architectures are the key foundation of any socially interactive robots in a human-robot interactive environment. Nature-inspired Humanoid Cognitive Computing Platform for Self-aware and Conscious Agent (NiHA), ...
  • Smart Control and Automation of Mannequin 
    Ali, Muhammad Tayab (School of Mechanical & Manufacturing Engineering (SMME),NUST, 2020)
  • Smartphones as 3D Imagers: A Novel Hardware Configuration with Structure from Motion Techniques 
    Saeed, Kainat (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2023)
    Embedded cameras in smartphones possess a huge potential to solve many critical problems in a diverse field of computer vision. Some examples are robot navigation, identity verification, construction innovation, asset ...
  • Diagnosing and localizing Covid-19 in High resolution CT(HRCT) scans using Deep learning 
    Munir, Zonaira (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2023)
    With the break-out of covid-19 as a world-wide pandemic that has a higher spread rate, it became a need to find a solution that would work in the favor of the patient as well as the radiologist. Since 2020, there have ...
  • Intelligent Environment Monitoring and Control 
    Faiz, Muhammad Faizan (School of Mechanical & Manufacturing Engineering (SMME), NUST, 2023)
    Heating, Ventilation, and Air Conditioning (HVAC) systems play a vital role in building energy management by controlling the indoor environment and ensuring the occupant’s comfort. These systems are responsible for ...
  • Comparison of Quantitative Proxemics to measure trust in HRI 
    Fatima Ahmad, Supervisor by Dr. Sara Ali (SMME, 2023)
    With the increase in the affordability of robots and development in the robotics field, humans have to work in collaboration with robots in many domestic and industrial tasks. With these advancements in the robotics field, ...
  • Classification of Live Video Stream from Pakistani News Channels (Urdu) using Deep Learning Latest Techniques 
    Muhammad Afzal, Supervisor by Dr Karam Dad Kallu (SMME, 2023)
    In our contemporary era, information is of prime importance and its dominant use by social media and TV channels for making public opinion and cultural influence is quite evident. Videos form the major portion of media ...
  • Socio- Technical System for Effective Classroom Learning 
    Kainat, Supervisor by Dr. Sara Ali (SMME, 2023)
    Analyzing attention enables educators to assess student engagement and enhance learning experiences. It provides valuable insights for optimizing teaching and managing classroom behavior. Several techniques have been ...
  • Human Robot Interaction-Personality Prediction of a Human Using Humanoid Robot 
    Anum Jaffar, Supervised by Dr Sara Ali (SMME, 2023)
    This study presents an innovative approach to predicting personality traits by utilizing Human-Robot Interaction (HRI). The research focuses on predicting personality traits based on the Big Five model. The study incorporates ...
  • Lung damage estimation through ground glass opacity detection from 3D reconstructed HRCT scans 
    Abdul Hanan Naeem, Supervisor by Dr. Muhammad Jawad Khan (SMME, 2023)
    High-resolution computed tomography (HRCT) scans have become an essential tool for the diagnosis of lung diseases, especially during the COVID-19 pandemic. However, the manual analysis of these scans by clinicians can ...
  • Pose-Based Seamless Video Stitching for Real World Applications 
    Salman Hassan, Supervised by Dr Karam Dad Kallu (smme, 2023)
    Combining videos of humans performing different gestures in a smooth way can potentially have many uses across a wide range of fields. These include entertainment, virtual reality, robotics, education, & communication. ...
  • Stitch Multiple Images for Generating Quality Panorama 
    Sibgha Riaz, supervised by Dr.Karam Dad Kallu (smme, 2022)
    Stitching multiple images for achieving the 360 view of any environment is a challenging task. Traditionally, the whole process of image stitching is based on distinctive features that are very helpful for estimating the ...
  • Ball Interception in Humanoid Robot Soccer 
    Saman Khan, supervised By Dr Sara Ali (SMME, 2022)
    Humanoid Robots are widely used in various real-world applications which contributed in raising the interest of researchers to enhance Robot development and deployment in dynamic environments. Robocup Soccer league is a ...
  • An Unreal Engine Based Human Robot Interaction Framework 
    Muhammad Hassaan Asif, Supervised By Dr Sara Ali (SMME, 2022)
    Existing frameworks lack the support for testing Human Robot Interaction (HRI) research which in turn often has to be tested practically making it time consuming and expensive. To overcome this issue, a HRI framework based ...
  • Perception of Emotion in Human-Robot Interaction 
    Muhammad Faisal Zia, supervised by Dr. Sara Ali (smme, 2022)
    Perception of emotion is an intuitive replication of a person’s internal state without the need for verbal communication. Visual emotion recognition has been broadly studied and several end-to-end deep neural networks ...
  • Automatic Detection and Recognition of Citrus Fruits Diseases Using Deep Learning Model 
    Shah Faisal, supervised by Dr. Kashif Javed (2022)
    In a country's economy, agriculture plays a very vital role. Agriculture's yield and production are reduced by plant diseases, resulting in significant economic losses and instability in the food market. In plants, the ...
  • Food Quality Assessment Based on Deep Learning Models 
    Maryum Sandhu, supervised by Dr Muhammad Jawad Khan (SMME, 2022)
    Objective. In this paper, a novel dataset has been collected in accordance with Pakistani needs and is used to develop an architecture for the quality assessment of fruits and vegetables. Approach. The dataset contains ...

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