About me

As an Associate Professor in the Department of Intelligent Systems and Robotics at the University of West Florida, I focus on advancing safe, robust, and reliable AI systems for mission-critical applications. My expertise in machine learning, deep learning, and large language models has led to publications in top conferences and journals. I am passionate about bridging theoretical AI advancements with practical implementations in high-stakes environments and welcome collaborations in this field. Learn more about my work and research at UWF

Interests
  • Large Foundational Models
  • Neuro-Symbolic AI
  • Uncertainty Quantification
  • Adversarial Machine Learning
  • Agentic AI
  • AI Optimization
Education
  • PhD in Electrical Engineering

    Virginia Tech

  • MS in Industrial and Systems Engineering

    Virginia Tech

  • MS in Electrical Engineering

    Virginia Tech

Featured Publications
Recent Publications
(2024). A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. arXiv.
(2023). Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. Machine Learning.
(2023). Reducing classifier overconfidence against adversaries through graph algorithms. Machine Learning.
(2023). Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation. Proceedings of the 2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition.
News
Contact Me

Are you a prospective graduate student, industry professional, or potential collaborator? I’m always excited to discuss new ideas, research opportunities, and potential projects.

📩 Get in Touch

  • 🎓 Prospective Students: Learn about research opportunities
  • 💼 Industry Partners: Explore collaboration possibilities
  • 🔬 Researchers: Discuss potential joint projects

Don’t hesitate to reach out. Your next big idea or collaboration could be just a message away!