UROP Research Mentor Project Submission Portal: Submission #1237
Submission information
              Submission Number: 1237
  Submission ID: 20781
  Submission UUID: a2a375ef-cb23-40d3-a3d6-e1015aa8712d
      Submission URI: /urop-research-mentor-project-submission-portal
          Submission Update: /urop-research-mentor-project-submission-portal?token=QvBguDC5Da58OmVO-o73B_i5nJblUHyL_RjbBnj8RCw
      Created: Mon, 08/18/2025 - 01:44 PM
  Completed: Mon, 08/18/2025 - 01:44 PM
  Changed: Tue, 09/23/2025 - 01:39 PM
  Remote IP address: 144.174.214.39
  Submitted by: Anonymous
  Language: English
  Is draft: No
    Webform: UROP Project Proposal Portal
      Submitted to: UROP Research Mentor Project Submission Portal
    
          Research Mentor Information
      
  
  
  Salma Aboelmagd
  
  
  
  
      
  
  
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  Graduate Student
  
  
  
  
      
  
  
  Dr. Abdulrahman Takiddin
  
  
  
  
  
      
  
  
  FAMU-FSU College of Engineering
  
  
  
  
      
  
  
  Electrical and Computer Engineering Department
  
  
  
  
      
  
  
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          Additional Research Mentor(s)
      
  
  
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          Overall Project Details
      
  
  
  Unmanned Aerial Vehicles (UAVs): Machine Learning Approaches for Drone Cybersecurity
  
  
  
  
      
  
  
  Artificial Intelligence, machine learning, cybersecurity, unmanned aerial vehicles
  
  
  
  
      
  
  
  No
  
  
  
  
      
  
  
  2
  
  
  
  
      
  
  
  Electrical Engineering
Computer Engineering
Computer Science
  Computer Engineering
Computer Science
      
  
  
  On FSU Main Campus
  
  
  
  
      
  
  
  FSU transportation options (e.g., Seminole Express)
  
  
  
  
      
  
  
  Partially Remote
  
  
  
  
      
  
  
  5
  
  
  
  
      
  
  
  During business hours
  
  
  
  
      
  
  
  Machine learning is revolutionizing the deployment and operation of unmanned aerial vehicles (UAVs), enabling them to be used in critical domains such as logistics, surveillance, disaster management, agriculture, and defense. This project focuses on leveraging machine learning and AI-driven solutions to improve UAV autonomy and strengthen cybersecurity. By integrating advanced data analytics and AI models, the project will address challenges such as real-time decision-making, path optimization, fault detection, and resilience against cyber-attacks. Students will explore how machine learning algorithms can enhance UAV systems to be more efficient and more robust, ultimately enabling UAVs to operate effectively in complex, real-world environments.
  
  
  
  
      
  
  
  Data collection
Data analysis
Building machine learning models
Literature review
Documenting and reporting research outcomes
  Data analysis
Building machine learning models
Literature review
Documenting and reporting research outcomes
      
  
  
  Basic programming skills in Python/Matlab
Basic data Analysis skills
Basic experience in MS Excel
Basic research skills
  Basic data Analysis skills
Basic experience in MS Excel
Basic research skills
      
  
  
  My goal is to prepare engineering and computer science students for the rapidly evolving future of machine learning. UAV security represents one of the most dynamic applications of ML, where efficiency, safety, and security are critical. As a mentor, I aim to provide students with hands-on research experiences that bridge theory with practice through real-world inspired simulations and data-driven projects. By fostering a collaborative, inclusive, and innovative environment, I encourage students to think critically, work in teams, and develop both technical and research communication skills. I am committed to recognizing their contributions by including students as co-authors on publications, presentations, and reports to help build their academic and professional profiles. Ultimately, my philosophy is to empower students to become future leaders and innovators in AI, machine learning, and UAV technologies.
  
  
  
  
      
  
  
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  N/A
  
  
  
UROP Program Elements
      
  
  
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  2025
  
  
  
  
      
  
  
  https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=QvBguDC5Da58OmVO-o73B_i5nJblUHyL_RjbBnj8RCw