CyberAI: Cybersecurity Solutions Leveraging Artificial Intelligence for Smart Systems
| Position Information |
|---|
| Company: Tennessee Technological University |
| Location: Cookeville, TN |
| Contact: Mohamed Mahmoud |
| Contact Email: [email protected] |
| Posting Date: March 10, 2025 |
Inspired by recent advancements in artificial intelligence (AI), telecommunications (e.g., 5G cellular networks), sensing technologies, and computing, the concept of smart systems, such as smart power grids and smart healthcare, has emerged with the goal of enhancing our daily lives. These systems aim to revolutionize the services offered, but they also introduce security and privacy challenges. The proposed REU site offers undergraduate students the opportunity to engage in Research and Development (R&D) activities focused on cybersecurity solutions that leverage AI for smart systems. Participants will gain knowledge in various areas, including cryptography, deep learning, federated and reinforcement learning, graph-based anomaly detection, and hardware attack countermeasures.
Program Dates
May 26, 2025 to August 1, 2025
Application Window
February 5, 2025 to April 5, 2025
Topic Areas
- Secure AI-assisted Medical Diagnosis for Smart Healthcare Systems
- Secure Communication Schemes for Smart Power Grid
- Hardware Intrinsic Security Threats in IoTs
- Security Vulnerabilities in Machine Learning models
- Anomaly Detection using Graph Streams to Protect Cyber Networks
- Leveraging the Power of Data to Analyze and Detect Cyberattacks on IoT Systems
What to Expect
During the undergraduate research experience program, you will:
- Opportunities to conduct cybersecurity-related research and gain valuable experience in topics of national interest.
- Allow interns to self-assess their interest in cybersecurity and graduate studies.
- Learn advanced subjects such as machine learning, cryptography, deep learning, federated and reinforcement learning, graph-based anomaly detection, and hardware attack countermeasures.
Activities
- Cybersecurity-related research and short courses
- Short course on Deep Learning Deployment in Hardware
- Preparation of research papers and posters
- Hands-on training with real equipment
- GRE and NSF GRFP preparation
Eligibility
You must meet these requirements to be eligible for this program:
- U.S. citizen or permanent resident
- Electrical engineering, computer/software engineering, computer science or any other related disciplines.
- Must be enrolled in an undergraduate program
- Must graduate after September 2025
Application Process
To apply for this position, you will need:
- Transcripts
- Two recommendation letters
- Personal statement
- Resume
Award Information
To apply for this position, you will need:
- $7,000 stipend for 10 weeks
- On-campus housing included
- Food allowance
- Round-trip travel expenses up to $600
- The total is approximately $10,500
Announcement of Awards: April 10, 2025