The AISx Lab at Louisiana State University (LSU) brings together modern deep learning and neuromorphic computing to push the state of intelligent sensing for security and safety. We focus on two linked thrusts: (1) applying modern and emerging deep learning, including transformers and large language models, to intelligent sensing for nuclear nonproliferation and applications in cybersecurity; and (2) developing neuromorphic algorithms based on spiking neural networks (SNNs) for ultra-low-power edge AI applications, as well as fundamental research on SNN training algorithms and architectural design.
We also design and evaluate LLM systems for institutional knowledge access. We lead MikeGPT, LSU’s in-house custom LLM agent that enables secure interaction with the university’s data ecosystem.
The lab is led by Dr. James Ghawaly Jr., an Assistant Professor in Computer Science and Engineering with a joint appointment in the Center for Computation and Technology (CCT). AISx is located in the LSU Digital Media Center and hosts dedicated resources for developing, training, and evaluating deep learning and neuromorphic models. Through close collaboration with the Applied Cybersecurity Lab and the Systems Security Lab, students can leverage a broad range of expertise, datasets, and tools in AI, cybersecurity, and safeguards.