Information Technology: Recent submissions

  • Achieving Privacy By Image Inpainting 
    Almaas, Madeeha (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    With the boost of social media, tons of personal images and videos are being shared. With this immense sharing, people want privacy as well as visually more appealing images. Traditional filters like pixelate, blur and ...
  • Pakistan Stock Market Prediction using Social Media Sentiment Analysis 
    Iqbal, Fariha (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Stock Market is the major influencer for national as well as international economy. There are multiple factors which have key role in market movement involving the companies news and performances, macro and micro economic ...
  • Securing Vehicular Ad-Hoc Networks : A Sybil Detection Approach 
    Mehreen, Manahil (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Vehicular ad-hoc Networks (VANETs) and smart cities is an emerging area of research. Therefore, applications based on VANET are increasing day by day. There are a num ber of applications that can utilize the VANETs ...
  • Deep Human Activity Recognition for the Internet of Health Things 
    Imran, Nimra (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Human Activity Recognition (HAR) directs machines’ ability to determine various user activities. The attributes discovered through these recognition procedures are inte grated into essential applications which the ...
  • HUMAN ACTIVITY RECOGNITION FOR THE INTERNET OF HEALTH THINGS (IOHT): A WEARABLE APPROACH 
    Majeed, Mehwish (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Human Activity Recognition (HAR) refers to the detection and classification of different types of human activities on the basis of data collected by sensors. Various sensory devices are used for fetching the data such ...
  • Development of Intelligent Intrusion Detection System for Smart Water Treatment and Distribution Plants in IoT-Enabled Critical Infrastructures 
    Sargana, Jamal Hassan (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    This thesis aims to address the critical issue of detecting intrusions in IoT-enabled critical infrastructure, with a specific focus on water treatment and distribution plants. The research employs Random forest, SVM and ...
  • Analysis of Deep Learning and predictive models for energy consumption forecasting of Buildings 
    Usman, Muhammad (2019)
    The modern world is living in a digital age which demands more energy for continuous operation of devices, gadgets, machines, household, etc. Consequently, there must be some system for energy management in terms of ...
  • Analysis of E-Learning Data using Cooperative Decision Support System 
    Jalil, Sadaf (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    In this digital era where the use of computers has become a part of learning as well as teaching; understanding the implications of technology inside education is important. It can be a powerful tool for learning or ...
  • Analyzing Emergency Evacuation Strategies for Large Buildings Using Crowd Simulation Framework 
    Nadeem, Talha (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    With the ever-increasing advent of man-made or naturally occurring disasters, the safety of individuals is not given the right amount of importance as it should be especially in Pakistan. Focusing on preventative ...
  • An Efficient Blockchain Architecture For Recruiting And Human Resource Management Of Migrant Workforce 
    Waqar, Momina (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Blockchain technology has opened up a new world of potential distributed applications platforms in many domains including the government/public sector. The government sector in developing countries is often infested ...
  • Human Age Estimation Using Wearable Inertial Sensors 
    Muneeb Ur Rehman (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Inertial Measurement Units (IMU) or Inertial Sensors are among the most commonly used wearable sensors. They can capture important features and patterns related to movement and activity. Therefore, they play an essential ...
  • Speech Recognition of Hearing Impaired Children 
    Azhar, Sidrah (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    In this world of digital technologies, such as artificial intelligence and voice-driven ap plications, Automatic Speech Recognition (ASR) is becoming essential to our daily life activities specially for disabled people. ...
  • SUITABILITY ANALYSIS FOR SMART WASTE MANAGEMENT IN PAKISTAN 
    IQBAL, MAZHAR (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Waste management is the most important challenge present in urban areas and within few years it will turn into a crucial issue because of a rapidly growing population. Accurate systems for solid waste management is ...
  • Tag Recommendation based on User Attention 
    Abid, Javaria (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    The popularity of social media platform is increasing day by day as it becomes easier for internet users to generate, share and describe their content. One of the easiest ways to describe media content is through tags. ...
  • Early Symptom Detection and Prevention of Childhood Infectious Diseases using EaSy Detect Disease App 
    Ponum, Mahvish (School of Electrical Engineering and Computer Science (SEECS), NUST, 2018)
    Infectious diseases often lead to mortality of children under-five years in most of the under-developed and developing countries of world. One of the main reasons behind this is the unawareness about symptoms and diagnosis ...
  • Formal Analysis of Power Electronics Circuits using Theorem Proving 
    Ahmad, Asad (School of Electrical Engineering and Computer Science, (SEECS), NUST, 2014)
    Power electronics systems are extensively used in many engineering systems, such as hand-held devices, medical equipment, electric vehicles, aerospace artifacts, power grids, nuclear power plants and military equipment. ...
  • AI / ML based Solution for User Position Estimation 
    Aftab, Maria (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    With the advent of 5G and 6G technologies, WiFi based outdoor positioning and lo calization schemes have found applications in the domains of autonomous driving, IoT (Internet of Things), vehicular tracking, smart cities ...
  • A Robust Security Framework for Combating Malicious Attacks for Internet of Things 
    Qaisar Shafi (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)
    Extensive adoption of intelligent devices with ubiquitous connectivity has increased Internet of Things (IoT) traffic tremendously. The smart devices promise to improve human life through improved safety and security ...
  • A Data-Driven Approach to Automated Analysis of Cyber Threat Intelligence 
    Umara Noor (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)
    Cyber Threat Intelligence (CTI) is the collection and analysis of cyber incidents that pose risks to the safety of an enterprise. According to a survey by Gemalto, in 2019, approximately 9 billion records were breached ...
  • Smart MIoT based Cardiac Healthcare Monitoring System for Ubiquitous Healthcare Service 
    Nayab, Sanam (School of Electrical Engineering and Computer Sciences (SEECS) NUST, 2023)
    Cardiovascular disorder is the most leading cause of mortality worldwide, including Pakistan. Most cardiac disease-related fatalities are abrupt and leave little time for medical assistance to be given. Precautions are ...

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