UROP Research Mentor Project Submission Portal: Submission #1237

Submission information
Submission Number: 1237
Submission ID: 20781
Submission UUID: a2a375ef-cb23-40d3-a3d6-e1015aa8712d

Created: Mon, 08/18/2025 - 01:44 PM
Completed: Mon, 08/18/2025 - 01:44 PM
Changed: Mon, 08/25/2025 - 12:23 PM

Remote IP address: 144.174.214.39
Submitted by: Anonymous
Language: English

Is draft: No

Research Mentor Information

Salma Aboelmagd
She/her
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saboelmagd@fsu.edu
Graduate Student
Dr. Abdulrahman Takiddin
a.takiddin@eng.famu.fsu.edu
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
Yes
2
Electrical Engineering
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
Basic programming skills in Python/Matlab
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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UROP Program Elements

Yes
Yes
Yes
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No
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2025
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=QvBguDC5Da58OmVO-o73B_i5nJblUHyL_RjbBnj8RCw