About me

Dr. Brian Jalaian is an Associate Professor in both the Computer Science Department and the Intelligent Systems and Robotics Department at the University of West Florida, where he also directs the Jalaian AI Lab. His research centers on advancing safe, robust, and trustworthy AI systems for high-stakes, real-world applications, with a focus on large language models (LLMs), AI model compression for edge deployment, uncertainty quantification, agentic AI, and reasoning under uncertainty.

Dr. Jalaian has led federally funded research initiatives, developed AI systems for mission-critical use cases, and published extensively in top conferences and journals. Through the Jalaian AI Lab, he mentors students and collaborators in building next-generation AI that bridges theoretical innovation with applied impact. He welcomes opportunities for interdisciplinary research and innovation in trustworthy and scalable artificial intelligence.

📘 Learn more about Dr. Jalaian’s work at UWF 🧪 Visit the Jalaian AI Lab 🐦 @BJalaian | 🌐 www.brianjalaian.com

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
(2025). Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models. arXiv preprint arXiv:2504.14395.
(2025). Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression. arXiv preprint arXiv:2505.18166.
(2025). Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning. arXiv preprint arXiv:2506.04454.
(2025). On Accelerating Edge AI: Optimizing Resource-Constrained Environments.
(2025). Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. arXiv preprint arXiv:2506.17250.
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.

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  • 🔬 Researchers: Discuss potential joint projects

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