Research Summary
Research interests include optimization and control of continuously-varying and discrete-event dynamical systems, stochastic modeling and estimation of nonlinear processes, signal decomposition (including wavelets), intelligent instrumentation (including
Research Keywords
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Recent Publications
Thresholdless Classification of chaotic dynamics and combustion instability via probabilistic finite state automata
Bhattacharya, C. & Ray, A., Feb 1 2022, In: Mechanical Systems and Signal Processing. 164, 108213.Research output: Contribution to journal › Article › peer-review
Classification of fatigue crack damage in polycrystalline alloy structures using convolutional neural networks
Alqahtani, H., Bharadwaj, S. & Ray, A., Jan 2021, In: Engineering Failure Analysis. 119, 104908.Research output: Contribution to journal › Article › peer-review
Transfer Learning for Detection of Combustion Instability Via Symbolic Time-Series Analysis
Bhattacharya, C. & Ray, A., Oct 1 2021, In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 143, 10, 101002.Research output: Contribution to journal › Article › peer-review
A data-driven framework for early-stage fatigue damage detection in aluminum alloys using ultrasonic sensors
Dharmadhikari, S., Bhattacharya, C., Ray, A. & Basak, A., Oct 2021, In: Machines. 9, 10, 211.Research output: Contribution to journal › Article › peer-review
A dual-imaging framework for multi-scale measurements of fatigue crack evolution in metallic materials
Dharmadhikari, S., Keller, E., Ray, A. & Basak, A., Jan 2021, In: International Journal of Fatigue. 142, 105922.Research output: Contribution to journal › Article › peer-review
Measure invariance of ergodic symbolic systems for low-delay detection of anomalous events
Ghalyan, N. F. & Ray, A., Oct 2021, In: Mechanical Systems and Signal Processing. 159, 107746.Research output: Contribution to journal › Article › peer-review
Optimal Window-Symbolic Time Series Analysis for Pattern Classification and Anomaly Detection
Ghalyan, I. F., Ghalyan, N. & Ray, A., 2021, (Accepted/In press) In: IEEE Transactions on Industrial Informatics.Research output: Contribution to journal › Article › peer-review
HMM conditional-likelihood based change detection with strict delay tolerance
Miller, D. J., Ghalyan, N. F., Mondal, S. & Ray, A., Jan 15 2021, In: Mechanical Systems and Signal Processing. 147, 107109.Research output: Contribution to journal › Article › peer-review
Transfer learning of deep neural networks for predicting thermoacoustic instabilities in combustion systems
Mondal, S., Chattopadhyay, A., Mukhopadhyay, A. & Ray, A., Sep 2021, In: Energy and AI. 5, 100085.Research output: Contribution to journal › Article › peer-review