People
A small group that likes hard measurement problems and systems that have to work under real constraints.
Associate Professor at UWF (Computer Science + Intelligent Systems & Robotics) and Research Scientist at IHMC. Formerly senior AI scientist at the U.S. Army Research Laboratory and the DoD Joint AI Center. Works on reliable agentic AI, edge-efficient models, and AI assurance.
brianjalaian.com
Reliability of multi-agent visual reasoning: estimating collective uncertainty across heterogeneous vision-language agents to detect errors, flag conflict, and abstain.
Uncertainty-aware AI for clinical decision support: detecting rare leukemia cells (measurable residual disease) in flow cytometry, in collaboration with Mayo Clinic hematopathology.
Making large neural networks more compressible through training-time regularization, so models distill and quantize with less loss, bridging optimization and efficient deployment.
Distributed robotic systems and agentic vision: multi-agent video reasoning for ISR and the integration of multi-modal robotic sensing with modern AI. Prior M.S. in CS (computer vision) from UT Austin.
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