Laboratory for Artificial Intelligence Research & Engineering (LAIRE) Housed in Electrical Engineering & Computer Science Laboratory for Artificial Intelligence Research & Engineering (LAIRE) Housed in Electrical Engineering & Computer Science Breadcrumb research west point werx robotics research center laboratory for artificial intelligence research engineering About the LAIRE The Laboratory for Artificial Intelligence Research & Engineering (LAIRE) was established in 2025 at the United States Military Academy at West Point. Housed within the Robotics Research Center, LAIRE conducts fundamental and applied research and engineering in artificial intelligence (AI), including mathematics, information theory, decision science and advanced computing, needed to design and develop computationally intelligent robotics and autonomous Command, Control, Computing, Communications, Cyber, Intelligence, Surveillance, Reconnaissance and Targeting (C5ISRT) systems to solve U.S. Army and Department of Defense problems (DoD) with a specific focus on enabling rapid, effective decision-making in network centric environments. Research Concentration Areas Methods for multi-modal, multi-scale, heterogeneous data/information integrationMathematics for AI uncertainty quantification needed for trusted decision-makingModeling hierarchical, contextual knowledge for complex multi-modal scene understandingNeuro-symbolic architectures for representation, learning, reasoning, and inferenceBiology-inspired metacognitive AI paradigms, such as hyperdimensional computingApproaches to ensure the security, robustness, and resiliency of AI with provable guaranteesSelf-improving adaptation methods for anti-fragile AI in edge computing environments Recent Publications Yeung, C., Barkam, H., Zou, Z., Yun, S., Bastian, N. & Imani, M. (2025). Lipschitz-based Robustness Estimation for Hyperdimensional Learning. Frontiers in Artificial Intelligence, 8(1637105), pp. 1-9.Bizzarri, A., Chung-En, Y., Jalaian, B., Riguzzi, F. & Bastian, N. (2025). Neurosymbolic Artificial Intelligence for Network Intrusion Detection Systems: a Survey. Journal of Information Security and Applications, 94(104205), pp. 1-14.Masukawa, R., Yun, S., Jeong, S., Bastian, N. & Imani, M. (2025). TriageHD: A Hyperdimensional Learning-to-Rank Framework for Dynamic Micro-Segmentation in Zero-Trust Network Security. IEEE Access, 13, pp. 136806-136815. Explore more LAIRE publications LAIRE Resources Lab publications EECS Resources Electrical Engineering & Computer ScienceRobotics Research Center