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Assistant Professor
Ph.D. Student
Battery Prognostics
Ph.D. Student
Physics-based AI
Ph.D. Student
Explainable AI
Ph.D. Student
Deep AI for Computer Vision
Undergraduate Student
Failure Diagnosis & Prognosis
Ph.D. Graduate (2023)
Research Scientist at INL
Ph.D. Graduate (2021)
Data Scientist at Zoox
Ph.D. Graduate (2021)
ADAS Developer at Ford
Master's Graduate
Data Analyst at OneMagnify
Master's Graduate
Quality Engineer at A & A
Master's Graduate
Product Engineer
Our lab focuses on developing AI and Deep Learning solutions that leverage Big Data Analytics to solve complex tasks.
Predict the remaining useful life of complex systems. This is critical for dynamic maintenance scheduling and real-time production planning.
Detect the reason and location of failure. This is critical for quick maintenance, root-cause analysis, and enhanced product design.
Single datastreams carry partial information about systems. Our lab focuses on data fusion models that better understand complex systems.
Sensor Fusion, Degradation Modeling, and Prognostic Analysis
Transfer Learning, Data Fusion, Diagnosis, and Prognostic Analysis
Quality Improvement, Financial Insights, and Machine Learning
Anomaly Detection and Delay Estimation
Classification, Regression, Forecasting, and Scenario Generation
Recommender Systems, Matrix Completion, Image Denoising, and Collaborative Filtering
Source: Wikipedia
