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Ying Zhao passed Ph.D. Dissertation Defense!
Dr. Ying Zhao successfully defended her Ph.D. dissertation entitled “Machine Learning-Based Calibration of Streamflow Prediction Model“. Congratulations!!
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CECS Faculty Excellence in Research Award
Dr. Zhen Hu has been honored with the 2023 CECS Faculty Excellence in Research Award by the College of Engineering and Computer Science at the UM-Dearborn. Excellence in Research Award is granted to faculty who Read more…
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Paper on UQ of ML for Engineering Design and Health Prognostics got published in MSSP Journal.
On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an essential layer of safety assurance that could lead to more principled decision making by enabling sound risk assessment and management. The safety and reliability improvement of Read more…
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Paper on optimization of inspection strategies using model-based diagnostics and prognostics got published in MSSP Journal.
The use of unmanned aerial vehicles (UAVs) for structural health inspection has become a promising technique to perform labor-intensive, accessibility-challenged, and sometimes dangerous inspection tasks. This paper presents a novel physics-informed UAV inspection planning framework for infrastructure Read more…
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Paper on Path Planning of Off-Road AGV under Uncertain Terrain Conditions subject to multiple failure modes got published in IEEE Transactions on Intelligent Vehicles.
Path planning plays a vital role in ensuring the efficient and safe operation of off-road autonomous ground vehicles (AGVs). Current methods mostly focus on minimizing the travel time or path length of AGVs and often Read more…
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Paper on recursive inference using video monitoring data got published in MSSP Journal.
Likelihood-free inference methods have been widely adopted, but they face significant challenges in updating multi-level computational models that have hierarchically embedded sub-models. This difficulty arises from the lack of direct observations of the quantities of Read more…