Asok Ray

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Titles and Affiliations
Distinguished Professor, Mechanical Engineering

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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-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 journalArticlepeer-review