Scholar
Brian Jalaian
Google Scholar ID: exiqJqcAAAAJ
bjalaian@uwf.edu
Citations & Impact
Citations
1,416
H-index
19
i10-index
31
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Published extensively in top conferences and journals on topics such as neuro-symbolic AI, uncertainty quantification, adversarial machine learning, etc. Featured publications include 'Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection' and 'Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System'.
Research Experience
- Led federally funded research initiatives; developed AI systems for mission-critical use cases; mentors students and collaborators in building next-generation AI that bridges theoretical innovation with applied impact through the Jalaian AI Lab.
Education
- PhD in Electrical Engineering, Virginia Tech
- MS in Industrial and Systems Engineering, Virginia Tech
- MS in Electrical Engineering, Virginia Tech
Background
- 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.
Miscellany
- Interests include Large Foundational Models, Neuro-Symbolic AI, Uncertainty Quantification, Adversarial Machine Learning, Agentic AI, AI Optimization.
