Logan Luna

M.S. Computer Science, Georgia Institute of Technology · B.S. Computer Science, Embry-Riddle Aeronautical University (Honors) · DoW SMART Scholar

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I am a B.S. Computer Science graduate of Embry-Riddle Aeronautical University and an M.S. Computer Science student (Artificial Intelligence specialization, thesis track) at the Georgia Institute of Technology, and a DoW SMART Scholar. My work spans deep learning theory and optimization, learning dynamics, reinforcement learning for safety-critical systems, cybersecurity, and remote sensing, with applications in satellite trajectory optimization, intrusion detection, and autonomous maritime robotics.

I currently intern at the Naval Surface Warfare Center Dahlgren Division (NSWCDD) (Active Secret clearance), where I develop real-time autonomous tracking systems that integrate machine learning, computer vision, and radar sensing. At Georgia Tech's Reasoning and Learning Group, I also research AI4Math and auto-formalization under Dr. Vijay Ganesh.

Broadly, I am interested in:

  • Machine learning and artificial intelligence
  • AI for Mathematics (AI4Math), specifically symbolic reasoning and theorem proving for mathematical research
  • Optimization and new learning algorithms (e.g., magnitude-invariant optimizers)
  • Reinforcement learning for safety-critical and physical systems
  • Cybersecurity, intrusion detection, and threat hunting with RL
  • Signal-centric remote sensing for sonar and radar
  • Autonomous aerial and underwater vehicles
Logan Luna
Google Scholar: Google Scholar Profile

News

  • August 2026 – Began the Georgia Institute of Technology M.S. Computer Science program (AI specialization, thesis track); joined the Reasoning and Learning Group under Dr. Vijay Ganesh.
  • August 2026 – SensorWF: A FAIR Generalizable Workflow Framework for Scientific Time-Series Analysis accepted to the ReWorDS Workshop at the IEEE International Conference on e-Science (eScience) 2026.
  • June–July 2026 – Interned at NSWCDD, continuing work on real-time autonomous tracking systems.
  • May 2026 – Graduated magna cum laude with a B.S. in Computer Science from Embry-Riddle Aeronautical University.
  • April 2026 – Named Embry-Riddle's Outstanding Undergraduate in Computer Science.
  • February 2026 – Awarded a $24,000 Center for Aerospace Resilient Systems (CARS) Research Grant for AI for Data Anomaly Detection in a Satellite Learning Laboratory (SATLL).
  • January 2026 – Satellite Trajectory Optimization via Proximal Policy Optimization for Space Debris Avoidance published in IEEE Access.
  • 2025 – Named Embry-Riddle's Outstanding Undergraduate in Computer Science.
  • 2025 – Embry‑Riddle Undergrads Develop ‘Guard Dog’ System to Ward Off Cyberattacks Three Embry‑Riddle undergraduates won first place at IEEE SoutheastCon for a machine-learning system that autonomously adapts to evolving cyber threats.
  • 2025 – Dueling Deep Q-Learning for Intrusion Detection accepted to IEEE SoutheastCon 2025 (IEEE-Eta Kappa Nu Best Paper Award).
  • 2025 – Signal-Centric Remote Sensing via Alternative Preprocessing and Acoustic Processing for ML-Driven Applications accepted to IEEE SoutheastCon 2025.
  • 2024 – Began DoD internship at NSWCDD for computer vision systems.
  • 2023 – Awarded DoD SMART Scholarship.
  • 2023 – 1st Place at Embry-Riddle Student Research Symposium for research on Advanced Aerial Mapping with Computer Vision.