Asok Ray

Affiliate Researcher
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

In the News

Research Keywords

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Recent Publications

Fatigue damage detection and risk assessment via neural network modeling of ultrasonic signals

Alqahtani, H. & Ray, A., Jun 2022, In: Fatigue and Fracture of Engineering Materials and Structures. 45, 6, p. 1587-1604 18 p.

Research output: Contribution to journalArticlepeer-review

Feature extraction and neural network-based fatigue damage detection and classification

Alqahtani, H. & Ray, A., Dec 2022, In: Neural Computing and Applications. 34, 23, p. 21253-21273 21 p.

Research output: Contribution to journalArticlepeer-review

Data-driven Detection and Early Prediction of Thermoacoustic Instability in a Multi-nozzle Combustor

Bhattacharya, C., O’Connor, J. & Ray, A., 2022, In: Combustion science and technology. 194, 7, p. 1481-1512 32 p.

Research output: Contribution to journalArticlepeer-review

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

Point-kinetics neutron noise modeling and analysis via probabilistic finite state automata

Chen, X., Ray, A. & Zhang, F., Mar 2022, In: Nuclear Engineering and Design. 388, 111628.

Research output: Contribution to journalArticlepeer-review

Spectral invariants of ergodic symbolic systems for pattern recognition and anomaly detection

Ghalyan, N. F., Bhattacharya, C., Ghalyan, I. F. & Ray, A., 2022, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 380, 2229, p. 4390-4402 13 p.

Research output: Contribution to journalArticlepeer-review

Topology Optimization and Experimental Validation of an Additively Manufactured U-Bend Channel

Ghosh, S., Wardell, R., Mondal, S., Fernandez, E., Ray, A. & Kapat, J., Jul 1 2022, In: Journal of Fluids Engineering, Transactions of the ASME. 144, 7, 071206.

Research output: Contribution to journalArticlepeer-review

Early Prediction of Lean Blowout from Chemiluminescence Time Series Data

Mondal, S., De, S., Mukhopadhyay, A., Sen, S. & Ray, A., 2022, In: Combustion science and technology. 194, 6, p. 1108-1135 28 p.

Research output: Contribution to journalArticlepeer-review

A Dynamically Stabilized Recurrent Neural Network

Saab, S., Fu, Y., Ray, A. & Hauser, M., Apr 2022, In: Neural Processing Letters. 54, 2, p. 1195-1209 15 p.

Research output: Contribution to journalArticlepeer-review

A multivariate adaptive gradient algorithm with reduced tuning efforts

Saab, S., Saab, K., Phoha, S., Zhu, M. & Ray, A., Aug 2022, In: Neural Networks. 152, p. 499-509 11 p.

Research output: Contribution to journalArticlepeer-review

An adaptive polyak heavy-ball method

Saab, S., Phoha, S., Zhu, M. & Ray, A., Sep 2022, In: Machine Learning. 111, 9, p. 3245-3277 33 p.

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

Forecasting and Detection of Fatigue Cracks in Polycrystalline Alloys With Ultrasonic Testing Via Discrete Wavelet Transform

Alqahtani, H. & Ray, A., Aug 2021, In: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 4, 3, 031003-1.

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