CyberAI: Cybersecurity Solutions Leveraging Artificial Intelligence for Smart Systems
Tennessee Technological University·Cookeville, TN
Closed for cycleComputational/Data ScienceBiomedical✓ verified
Overview 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. 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 Project Objectives 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 Payment Information $7,000 stipend for 10 weeks On-campus housing included Food allowance Round-trip travel expenses up to $600
Machine learning, cybersecurity, REU, Research for Undergraduates
U.S. citizen or permanent resident Electrical engineering, computer/software engineering, computer science or any other related disciplines. Must graduate after September 2026
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