UROP Project

Machine Learning for UAVs

drones, machine learning, artificial intelligence

Research Mentor: Salma Aboelmagd,
Department, College, Affiliation: Electrical and Computer Engineering, FAMU-FSU College of Engineering
Contact Email: saboelmagd@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Electrical engineering
Computer science
Computer engineering
Project Location: Center for Advanced Power Systems
Research Assistant Transportation Required: FSU Seminole Express
Remote or In-person: In-person
Approximate Weekly Hours: 5, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link:
Not participating in the roundtable

Project Description

This project focuses on applying machine learning techniques to improve cyberattack detection in unmanned aerial vehicles (UAV). Students will work with real UAVs and datasets containing physical, cyber, and cyber-physical data to develop an understanding of data-driven intrusion detection methods. Throughout the project, students will gain experience with the research process, including reading scientific literature, exploring and analyzing datasets, implementing machine learning algorithms, evaluating model performance, and interpreting experimental results. As students progress, they will also be introduced to numerous machine learning concepts and cybersecurity challenges affecting autonomous systems.

Research Tasks: 1. Reading and summarizing research papers related to UAV security and machine learning.
2. Learning Python for data analysis and machine learning applications.
3. Implementing and evaluating supervised machine learning models.
4. Documenting experimental procedures, observations, and results.
5. Set UAV environments and experiments.

Skills that research assistant(s) may need: Required:
- Interest in cybersecurity, machine learning, or autonomous systems
- Willingness to learn programming and data analysis
- Strong problem-solving skills
- Good organizational and communication skills

Recommended:
- Introductory programming experience (Python preferred, but not required)
- Exposure to machine learning concepts
- Interest in research and scientific writing