Robotics and Intelligent Machine Engineering: Recent submissions

  • 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 ...
  • Stream Classification & Brand Recognition for Media Analysis 
    Muhammad Adeel Ijaz, supervised by Dr Hasan Sajid (SMME, 2022)
    In this study, we propose a system that classifies streams as supervised learning and recognizes brands as a one-shot learning problem. We also created a custom dataset for implementing stream classification. This dataset ...
  • AI based Automatic Gating of B-Cells in Flow Cytometry 
    Talha Nadeem, supervised by Dr Hasan Sajid (SMME, 2022)
    Due to the extensive use of flow cytometry in immunophenotyping, cell sorting, cell cycle analysis, apoptosis, cell proliferation assays, intracellular calcium flux, and numerous other techniques in digital pathology, ...
  • Optimal Pose Estimation of Robotic Manipulator For Pick And Place Application 
    Uzair Farrukh, supervised by Dr Karam Dad Kallu (SMME, 2022)
    This thesis examines how to use robotic manipulator to pick specific object. In order to attain above objective planning of manipulator as well as grasping point calculations are studied. The process of calculating ...
  • Traffic Detection for Advanced Driver Assistance System 
    Hamza Nadeem, supervised by Dr Kashif Javed (SMME, 2022)
    The Advanced Driver Assistance System (ADAS) is not a new phenomenon. To minimize road accidents and other related issues, the current vehicles can be improved for a better driving experience through an automated system ...
  • Pakistani Traffic-sign detection using Deep Learning 
    Zain Nadeem, supervised by Dr Muhammad Jawad Khan (SMME, 2022)
    Traffic-sign Detection is one of the major aspects of the working of a modern car, more so in the case of a self-driving car. They need to be detected and recognized up to a certain degree of accuracy. This research ...
  • DEEP LEARNING BASED SIGN LANGUAGE PREDICTION 
    Ruqaiya Ali, supervised by Dr Hasan Sajid (SMME, 2022)
    Speech and hearing impairment is a condition that limits a person's capacity to communicate verbally and audibly. Individuals who are impacted by this adopt sign language and various alternative forms of communication. ...
  • Audio-Visual Person Recognition 
    Ahmad Ali, supervised by Dr Hasan Sajid (SMME, 2022)
    Person authentication is a primary element to consider wherever privacy is necessary. Deep learning based authentication algorithms have a number of applications in the said field. Adding multiple modalities makes the ...
  • Effect of Image Resolution on The Classification of Cells in Peripheral Blood Smear 
    Adnan Ali, supervised by Dr Karam Dad Kallu (SMME, 2022)
    In recent years, there has been a rise in the prevalence of the practise of applying deep learning to the process of pathological inspection. Deep learning has been the focus of a substantial amount of study that has ...
  • RL based Differential Drive Primitive Policy for Transfer Learning 
    Mahrukh Shahid, supervised by Dr Yasir Ayaz (SMME, 2022)
    To ensure the steady navigation for robot stable controls are the basic unit and control values selection is highly environment dependent. Adding Generalization to system is the key to reusability of control parameters ...
  • Random Filter-Switching-based Defense Against Decision-based Adversarial Attacks on Machine Learning 
    Rashad Khalid, supervised by Dr Muhammad Jawad Khan (2022)
    In the AI and machine learning research field, adversarial machine learning(AML), a technique that tries to deceive models using erroneous data, is becoming a major concern. By exploiting the inherent vulnerability of ML ...
  • An autonomous car crash prevention system based on behavioral assessment of driver 
    Mahad Arif, supervised by Dr Muhammad Jawad Khan (SMME, 2022)
    Many road-side accidents occur due to the driver being not in the emotional state of driving. i.e., the driver is fatigued or is not alert. Computer Vision is one of the widely used fields in the world right now. The ...
  • Development of High-Resolution Imaging System for Blood Activity Monitoring 
    Syed Muhammad Ali Qasim, Supervised by Dr Kashif Javed (SMME, 2022)
    fNIRS is a non-invasive, portable & easy to use brain imaging modality. It can estimate the hemodynamic response of the brain by measuring the absorption of IR light with respect to time. The standard channel separation ...
  • Development of Enhanced Range Vision and Telemetry System for an Aerial Platform 
    Haroon, Muhammad (SMME, , National University of Sciences & Technology Islamabad, 2016)
  • DETECTION, ESTIMATION AND FORECAST FOR NONLINEAR SYSTEMS 
    Asim Zaheer Ud Din, Supervised by Dr Yasar Ayaz (SMME, 2022)
    This thesis presents and implements detection, estimation, and forecast algorithms in context of smart infrastructure system for smart grid. A novel application of radio frequency wireless mesh network and general packet ...
  • DETECTION OF THYROID DISEASES USING MACHINE LEARNING TECHNIQUES 
    TEHSEEN AKHTAR, Supervised by Dr SYED OMER GILANI (SMME, 2022)
    Background: The unusual growth of the glandular tissue on the boundary of the Thyroid gland is an indication of Thyroid disease. Thyroid disease is characterised by an unusually high or low number of hormones produced by ...
  • Stain Normalization of Hematology Slides 
    MUHAMMAD MUNEEB ARSHAD, Supervised by DR HASAN SAJID (SMME, 2021)
    Deep learning for pathological examination is a booming trend in the current times. Many studies have been conducted to solve pathological problems using deep learning. However, since the properties of an acquired image ...

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