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). Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection. MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM).
(2024). Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System. In AAAI-FS 2024.
(2024). A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. 2024 33rd International Conference on Computer Communications and Networks (ICCCN).
(2024). A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. arXiv.
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Are you a prospective graduate student, industry professional, or potential collaborator? I’m always excited to discuss new ideas, research opportunities, and potential projects.

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