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Welcome

Welcome to the website of the RPI Intelligent Structural Systems Laboratory (ISSL)! The mission of ISSL is to develop methodologies that will enable the next generation of intelligent, self-aware aerial vehicles that can "feel," "think," and "react". Research on ISSL focuses on advanced data-driven stochastic modeling, identification and learning methods in the face of complex dynamic environments and uncertainty. Our work lies at the intersection of stochastic systems, machine learning and physics-based domain knowledge. Particular emphasis is placed on intelligent structural systems, fault diagnosis and structural health monitoring, and "fly-by-feel" aerial vehicles.

Recent Publications

2025

  1. Huang S., Zhu Z., Zhou P., Kopsaftopoulos F.. "A Functional Time Series Framework for Probabilistic Health Monitoring on a Hexacopter: Experimental Evaluation via a Series of Flight Tests," AIAA SciTech Forum, Orlando, FL, January 2025 [Publication, Abstract]
  2. Fan Y., Giovanis D., Kopsaftopoulos F.. "Unified Framework for Probabilistic Modeling and Uncertainty Quantification of Aerospace Structures via Stochastic Latent Space Representations," AIAA SciTech Forum, Orlando, FL, January 2025. [Publication, Abstract]
  3. Huang S., Ren J., Zhou P., Rahman S., Young K., Rahman S., Mishra S., Samuel J., Kopsaftopoulos F., Akin S.,. "A Multifunctional Smart Metal Beam with Sub-Surface Embedded Sensors for Real-Time Structural Health Monitoring," Proceedings of 15th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA, USA, September 2025. [Abstract]
All Publications