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Project title: Data-Driven Stochastic Identification of Guided Wave Propagation Under Varying Environmental and Operating Conditions for Active Sensing Structural Health Monitoring

Project title: Towards a Probabilistic Acousto-ultrasonic Active-sensing Structural Health Monitoring Framework Based OnStochastic Time Series Representations and Gaussian Process Models

Project title: Data-driven Methods for Probabilistic Fault Diagnosis in Multirotor Aircraft

Project title: Fly by Feel

Project title: PhD topic: Non-Intrusive Reduced Order Modeling for Industrial Applications

Project title: PhD Topic: Damage State Estimation via Multi-fidelity Gaussian Process Regression Models for Active-sensing Structure Health Monitoring, PhD Topic: Explainable Machine Learning Framework for Guided Waves Signal Reconstruction and Structural Health Monitoring Under Varying Operating and Environmental States

Project title: Structural Damage Diagnostic for UAV using structural health monitoring active approaches

Project title: Thermal effects on composite space structures and health monitoring

Project title: Investigation of Composite Materials in CubeSat Structures

Project title: Multi-Fidelity Modeling and Health Monitoring for a Composite Wing

Project title: Determination of carbon fiber composite damage prior to failure using piezoelectric sensors

Project title: Data-Driven Probabilistic Health Monitoring on a Hexacopter via Time-Series Assisted Machine Learning Methods

Project title: Condition Monitoring, Diagnostics and Prognostics of Bearings via Stochastic Time Series Methods

Project title: eVTOL modeling and analysis

Project title: Data-Driven Learning for Aircraft Structural Awareness and Health Monitoring based on Stochastic Modeling

Project title: Morphing Winglet Utilizing Real Time State Sense Sensing to Actively Reduce Effects of Induced Drag

Project title: Probabilistic structural health monitoring of composite structures under impact testing