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
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Research Keywords
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Recent Publications
Convolutional neural network for risk assessment in polycrystalline alloy structures via ultrasonic testing
Alqahtani, H. & Ray, A., Jan 2024, In: Fatigue and Fracture of Engineering Materials and Structures. 47, 1, p. 140-152 13 p.Research output: Contribution to journal › Article › peer-review
Surface texture analysis in polycrystalline alloys via an artificial neural network
Alqahtani, H. & Ray, A., Mar 15 2024, In: Measurement: Journal of the International Measurement Confederation. 227, 114328.Research output: Contribution to journal › Article › peer-review
State Identification Via Symbolic Time Series Analysis for Reinforcement Learning Control
Bhattacharya, C. & Ray, A., Sep 1 2024, In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 146, 5, 054501.Research output: Contribution to journal › Article › peer-review
Parametric shape optimization of pin fin arrays using a multi-fidelity surrogate model based Bayesian method
Ghosh, S., Mondal, S., Kapat, J. S. & Ray, A., Jun 15 2024, In: Applied Thermal Engineering. 247, 122876.Research output: Contribution to journal › Article › peer-review
A Data-Driven Approach to Modeling Sea Clutter Stochastic Differential Equations
Pici, C. J., Ray, A., Kompella, S. & Narayanan, R. M., 2024, In: IEEE Transactions on Aerospace and Electronic Systems. 60, 4, p. 5312-5321 10 p.Research output: Contribution to journal › Article › peer-review
Symbolic Dynamics for Radar Target Maneuver Detection With High Data Rates
Singerman, P. G., O'Rourke, S. M., Narayanan, R. M., Ray, A. & Rangaswamy, M., Apr 1 2024, In: IEEE Transactions on Aerospace and Electronic Systems. 60, 2, p. 1647-1659 13 p.Research output: Contribution to journal › Article › peer-review
Feature selection of surface topography parameters for fatigue-damage detection using Pearson correlation method and neural network analysis
Alqahtani, H. & Ray, A., May 2023, In: Fatigue and Fracture of Engineering Materials and Structures. 46, 5, p. 1810-1820 11 p.Research output: Contribution to journal › Article › peer-review
Data Fusion and Pattern Classification in Dynamical Systems Via Symbolic Time Series Analysis
Chen, X. & Ray, A., Sep 1 2023, In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 145, 9, 094502.Research output: Contribution to journal › Article › peer-review
A Unified Mixed Deep Neural Network for Fatigue Damage Detection in Components with Different Stress Concentrations
Dharmadhikari, S., Raut, R., Ray, A. & Basak, A., Feb 2023, In: Applied Sciences (Switzerland). 13, 3, 1542.Research output: Contribution to journal › Article › peer-review
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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-review
Deep Reinforcement Learning Control of a Boiling Water Reactor
Chen, X. & Ray, A., Aug 1 2022, In: IEEE Transactions on Nuclear Science. 69, 8, p. 1820-1832 13 p.Research output: Contribution to journal › Article › peer-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 journal › Article › peer-review