Asok Ray

    • 6861 Citations
    • 36 h-Index
    1976 …2019
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    Research Output 1976 2019

    2019

    A machine learning method integrating neural networks and Gaussian processes for LOCA identification in BWR

    Alamaniotis, M. & Ray, A., Jan 1 2019, 11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019. American Nuclear Society, p. 431-439 9 p. (11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Loss of coolant accidents
    Boiling liquids
    Learning systems
    Neural networks
    Feedforward neural networks

    Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities

    Chattopadhyay, P., Mondal, S., Ray, A. & Mukhopadhyay, A., Jan 1 2019, In : Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 141, 1, 014501.

    Research output: Contribution to journalArticle

    Thermoacoustics
    combustion chambers
    Combustors
    System stability
    pressure oscillations

    Early Detection of Thermoacoustic Instabilities Using Hidden Markov Models

    Mondal, S., Ghalyan, N. F., Ray, A. & Mukhopadhyay, A., Aug 3 2019, In : Combustion science and technology. 191, 8, p. 1309-1336 28 p.

    Research output: Contribution to journalArticle

    Thermoacoustics
    Hidden Markov models
    pressure oscillations
    active control
    combustion chambers
    Time series analysis
    decision making
    Time series
    time series analysis
    Decision making

    Improving the capability of detecting joints and fractures in rock mass from roof bolt drilling data by using wavelet analysis

    Liu, W., Saab, S. S., Rostami, J. & Ray, A., Jan 1 2019, In : International Journal of Oil, Gas and Coal Technology. 20, 1, p. 97-112 16 p.

    Research output: Contribution to journalArticle

    Wavelet analysis
    Bolts
    Roofs
    Drilling
    Rocks

    Modeling of microscope images for early detection of fatigue cracks in structural materials

    Ghalyan, N. F., Ghalyan, I. F. & Ray, A., Oct 1 2019, In : International Journal of Advanced Manufacturing Technology. 104, 9-12, p. 3899-3913 15 p.

    Research output: Contribution to journalArticle

    Crack detection
    Microscopes
    Cracks
    Support vector machines
    Polycrystalline materials

    Neural network-based learning from demonstration of an autonomous ground robot

    Fu, Y., Jha, D. K., Zhang, Z., Yuan, Z. & Ray, A., Jun 1 2019, In : Machines. 7, 2, 24.

    Research output: Contribution to journalArticle

    Open Access
    Imitation
    Demonstrations
    Robot
    Robots
    Neural Networks

    Sequential hypothesis tests for streaming data via symbolic time-series analysis

    Virani, N., Jha, D. K., Ray, A. & Phoha, S., May 1 2019, In : Engineering Applications of Artificial Intelligence. 81, p. 234-246 13 p.

    Research output: Contribution to journalArticle

    Time series analysis
    Time series
    Dynamical systems
    Statistics
    Testing

    State-space representations of deep neural networks

    Hauser, M., Gunn, S., Saab, S. & Ray, A., Mar 1 2019, In : Neural Computation. 31, 3, p. 538-554 17 p.

    Research output: Contribution to journalArticle

    Neural Networks
    Equations
    Layer
    Simulation
    Letters
    2018
    1 Citation (Scopus)
    Cluster Analysis
    Entropy
    Anomaly
    Joints
    Symbol
    1 Citation (Scopus)
    video data
    boiling
    Boiling liquids
    vessels
    Fluids
    bolt
    Bolts
    Roofs
    roof
    Drilling
    1 Citation (Scopus)

    Bayesian nonparametric modeling of categorical data for information fusion and causal inference

    Xiong, S., Fu, Y. & Ray, A., Jun 1 2018, In : Entropy. 20, 6, 396.

    Research output: Contribution to journalArticle

    combustion chambers
    inference
    factorization
    economics
    regression analysis

    Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification

    Xiong, S., Fu, Y. & Ray, A., Sep 1 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4128-4139 12 p., 8066450.

    Research output: Contribution to journalArticle

    Parameter estimation
    Pattern recognition
    Computer simulation
    Testing
    1 Citation (Scopus)
    Thermoacoustics
    Time series
    Finite automata
    combustion stability
    gas turbine engines
    1 Citation (Scopus)

    Imitation of Demonstrations Using Bayesian Filtering with Nonparametric Data-Driven Models

    Virani, N., Jha, D. K., Yuan, Z., Shekhawat, I. & Ray, A., Mar 1 2018, In : Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME. 140, 3, 030906.

    Research output: Contribution to journalArticle

    Demonstrations
    Dynamic models
    dynamic models
    learning
    Remote control
    4 Citations (Scopus)

    Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data

    Li, Y., Jha, D. K., Ray, A. & Wettergren, T. A., Jun 1 2018, In : IEEE Transactions on Cybernetics. 48, 6, p. 1898-1909 12 p.

    Research output: Contribution to journalArticle

    Sensor networks
    Time series
    Sensors
    Information fusion
    Target tracking

    Learning from Multiple Imperfect Instructors in Sensor Networks

    Virani, N., Phoha, S. & Ray, A., Oct 1 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 10, p. 5166-5172 7 p., 8278847.

    Research output: Contribution to journalArticle

    Sensor networks
    Sensors
    Labels
    Classifiers
    2 Citations (Scopus)
    forecasting
    alphabets
    Time series
    Probability distributions
    autoregressive moving average
    1 Citation (Scopus)

    Study of vapor film dynamics and heat transfer through an image processing technique

    Beck, F., Virani, N., Mohanta, L., Sohag, F. A., Ray, A. & Cheung, F. B., Oct 1 2018, In : International Journal of Heat and Mass Transfer. 125, p. 1310-1320 11 p.

    Research output: Contribution to journalArticle

    film boiling
    Boiling liquids
    image processing
    Image processing
    heat transfer
    3 Citations (Scopus)

    Symbolic analysis-based reduced order Markov modeling of time series data

    Jha, D. K., Virani, N., Reimann, J. S., Srivastav, A. & Ray, A., Aug 1 2018, In : Signal Processing. 149, p. 68-81 14 p.

    Research output: Contribution to journalArticle

    Time series
    Bearings (structural)
    Data storage equipment
    Hamming distance
    Finite automata
    2017
    1 Citation (Scopus)

    A locally optimal algorithm for estimating a generating partition from an observed time series

    Miller, D. J., Ghalyan, N. F. & Ray, A., Dec 5 2017, 2017 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017 - Proceedings. IEEE Computer Society, Vol. 2017-September. p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Time series
    Dynamical systems
    Vector quantization
    Entropy
    3 Citations (Scopus)

    An image processing technique for the study of vapor film dynamics during quenching of a downward facing hemisphere

    Beck, F., Virani, N., Mohanta, L., Sohag, F. A., Ray, A. & Cheung, F. B., Jan 1 2017.

    Research output: Contribution to conferencePaper

    film boiling
    hemispheres
    Boiling liquids
    vessels
    image processing

    Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions

    Liu, W., Ray, A., Rostami, J. & Saab, S. S., Jan 1 2017, Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017. Murphy, M., Mishra, B., Perry, K. & Lawson, H. (eds.). Society for Mining, Metallurgy and Exploration (SME), p. 297-303 7 p. (Proceedings of the 36th International Conference on Ground Control in Mining, ICGCM 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Roofs
    roof
    Drilling
    Rocks
    drilling
    1 Citation (Scopus)

    Bayesian nonparametric modeling of Markov chains for detection of thermoacoustic instabilities

    Xiong, S., Li, J. & Ray, A., Jun 29 2017, 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., p. 3758-3763 6 p. 7963530

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Thermoacoustics
    Markov processes
    Time series
    Finite automata
    Pressure measurement

    Distributed modular supervisory control of integrated aircraft propulsion, power, and thermal systems: An overview

    Pakmehr, M., Behbahani, A. & Ray, A., Jan 1 2017, 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017. American Institute of Aeronautics and Astronautics Inc, AIAA

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Aircraft propulsion
    Discrete event simulation
    Propulsion
    Integrated control
    Hot Temperature
    3 Citations (Scopus)

    Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations

    Chattopadhyay, P., Mondal, S., Bhattacharya, C., Mukhopadhyay, A. & Ray, A., Nov 1 2017, In : Journal of Mechanical Design, Transactions Of the ASME. 139, 11, 111419.

    Research output: Contribution to journalArticle

    Combustors
    Thermoacoustics
    Time series
    Specifications
    Temperature

    Dynamic data-driven stability map prediction in combustion systems

    Chattopadhyay, P., Mondal, S., Mukhopadhyay, A. & Ray, A., Jan 1 2017, 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017. American Institute of Aeronautics and Astronautics Inc, AIAA, (53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Combustors
    Thermoacoustics
    System stability
    Time series
    Experiments
    2 Citations (Scopus)

    DYNAMIC MODELING OF FLUIDIZED BED BOILERS FOR CONTROL SYSTEM DESIGN.

    Berkowitz, D. A., Ray, A. & Sumaria, V., Jan 1 2017, In : Proceedings of the Intersociety Energy Conversion Engineering Conference. p. 765-771 7 p.

    Research output: Contribution to journalConference article

    Fluidized beds
    Boilers
    Systems analysis
    Control systems
    Pulverized fuel
    13 Citations (Scopus)

    Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments

    Li, Y., Jha, D. K., Ray, A. & Wettergren, T. A., Jan 1 2017, In : IEEE Transactions on Cybernetics. 47, 1, p. 93-104 12 p., 7425211.

    Research output: Contribution to journalArticle

    Information fusion
    Target tracking
    Sensors
    Distance measurement
    Feature extraction
    2 Citations (Scopus)

    Lean blowout (LBO) prediction through symbolic time series analysis

    Sen, S., Sarkar, S., Chaudhari, R. R., Mukhopadhyay, A. & Ray, A., Jan 20 2017, Combustion for Power Generation and Transportation: Technology, Challenges and Prospects. Springer Singapore, p. 153-167 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Time series analysis
    Combustors
    Time series
    Finite automata
    Air

    Prediction of thermoacoustic instabilities in a premixed combustor based on FFT-based dynamic characterization

    Mondal, S., Bhattacharya, C., Chattopadhyay, P., Mukhopadhyay, A. & Ray, A., Jan 1 2017, 53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017. American Institute of Aeronautics and Astronautics Inc, AIAA, (53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Thermoacoustics
    Combustors
    Fast Fourier transforms
    Monitoring
    Visibility
    4 Citations (Scopus)

    Principles of riemannian geometry in neural networks

    Hauser, M. & Ray, A., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 2808-2817 10 p.

    Research output: Contribution to journalConference article

    Neural networks
    Geometry
    Differential equations
    Lie groups
    Tensors
    1 Citation (Scopus)

    Probabilistic forecasting of symbol sequences with deep neural networks

    Hauser, M., Fu, Y., Li, Y., Phoha, S. & Ray, A., Jun 29 2017, 2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., p. 3147-3152 6 p. 7963431

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Time series
    Combustors
    Deep neural networks
    Entropy
    Statistics
    6 Citations (Scopus)

    Unsupervised symbolization of signal time series for extraction of the embedded information

    Li, Y. & Ray, A., Jan 1 2017, In : Entropy. 19, 4, 148.

    Research output: Contribution to journalArticle

    time signals
    strings
    experimentation
    marking
    requirements
    2016
    2 Citations (Scopus)

    Data-driven anytime algorithms for motion planning with safety guarantees

    Jha, D. K., Zhu, M., Wang, Y. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 5716-5721 6 p. 7526565. (Proceedings of the American Control Conference; vol. 2016-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Motion planning
    Learning systems
    Learning algorithms
    Robotics
    Controllers
    2 Citations (Scopus)

    Data-driven robot gait modeling via symbolic time series analysis

    Seto, Y., Takahashi, N., Jha, D. K., Virani, N. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 3904-3909 6 p. 7525522. (Proceedings of the American Control Conference; vol. 2016-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Time series analysis
    Robots
    Hybrid systems
    Time series
    8 Citations (Scopus)

    Dynamic data-driven and model-based recursive analysis for estimation of battery state-of-charge

    Li, Y., Chattopadhyay, P., Xiong, S., Ray, A. & Rahn, C. D., Dec 15 2016, In : Applied Energy. 184, p. 266-275 10 p.

    Research output: Contribution to journalArticle

    Time series
    time series
    Lead acid batteries
    Time series analysis
    Electric potential
    16 Citations (Scopus)

    Dynamic data-driven prediction of instability in a swirl-stabilized combustor

    Sarkar, S., Chakravarthy, S. R., Ramanan, V. & Ray, A., Dec 1 2016, In : International Journal of Spray and Combustion Dynamics. 8, 4, p. 235-253 19 p.

    Research output: Contribution to journalArticle

    combustion stability
    combustion chambers
    Combustors
    acoustic instability
    flow velocity
    2 Citations (Scopus)

    Information-space partitioning and symbolization of multi-dimensional time-series data using density estimation

    Virani, N., Lee, J. W., Phoha, S. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 3328-3333 6 p. 7525431. (Proceedings of the American Control Conference; vol. 2016-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Time series
    Testbeds
    1 Citation (Scopus)

    Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities

    Sarkar, S., Jha, D. K., Lore, K. G., Sarkar, S. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-July. p. 4918-4923 6 p. 7526132

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Information fusion
    Bayesian networks
    Time series
    Combustors
    Gas turbines
    71 Citations (Scopus)

    Multimodal task-driven dictionary learning for image classification

    Bahrampour, S., Nasrabadi, N. M., Ray, A. & Jenkins, W. K., Jan 2016, In : IEEE Transactions on Image Processing. 25, 1, p. 24-38 15 p., 7312977.

    Research output: Contribution to journalArticle

    Image classification
    Glossaries
    Learning algorithms
    Face recognition
    Fusion reactions
    6 Citations (Scopus)

    Path planning in GPS-denied environments via collective intelligence of distributed sensor networks

    Jha, D. K., Chattopadhyay, P., Sarkar, S. & Ray, A., May 3 2016, In : International Journal of Control. 89, 5, p. 984-999 16 p.

    Research output: Contribution to journalArticle

    Motion planning
    Sensor networks
    Global positioning system
    Wireless networks
    Robots
    6 Citations (Scopus)

    Real-time combustion state identification via image processing: A dynamic data-driven approach

    Hauser, M., Li, Y., Li, J. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 3316-3321 6 p. 7525429. (Proceedings of the American Control Conference; vol. 2016-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Image processing
    Feature extraction
    High speed cameras
    Finite automata
    Fractal dimension
    1 Citation (Scopus)

    Real-time identification of state-of-charge in battery systems: Dynamic data-driven estimation with limited window length

    Chattopadhyay, P., Li, Y. & Ray, A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2016-July. p. 4907-4912 6 p. 7526130

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Dynamical systems
    Lead acid batteries
    Finite automata
    Time series
    Electric potential
    1 Citation (Scopus)

    Sensor selection for passive sensor networks in dynamic environment: A dynamic data-driven approach

    Li, Y., Jha, D. K., Ray, A. & Wettergren, T. A., Jul 28 2016, 2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., p. 4924-4929 6 p. 7526133. (Proceedings of the American Control Conference; vol. 2016-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Sensor networks
    Sensors
    Time series
    Finite automata
    Target tracking

    Sparse representation for time-series classification

    Bahrampour, S., Nasrabadi, N. M. & Ray, A., Dec 15 2016, Pattern Recognition and Big Data. World Scientific Publishing Co. Pte Ltd, p. 199-215 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Time series
    Feature extraction
    Information fusion
    Finite automata
    Glossaries
    2 Citations (Scopus)

    Symbolization of dynamic data-driven systems for signal representation

    Sarkar, S., Chattopdhyay, P. & Ray, A., Nov 1 2016, In : Signal, Image and Video Processing. 10, 8, p. 1535-1542 8 p.

    Research output: Contribution to journalArticle

    Time series
    Finite automata
    Chemiluminescence
    Time series analysis
    Combustors
    2015
    4 Citations (Scopus)

    Alphabet size selection for symbolization of dynamic data-driven systems: An information-theoretic approach

    Sarkar, S., Chattopdhyay, P., Ray, A., Phoha, S. & Levi, M., Jul 28 2015, ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-July. p. 5194-5199 6 p. 7172150

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Time series
    Information systems
    Time series analysis
    Finite automata
    Chemiluminescence
    9 Citations (Scopus)

    Depth estimation in Markov models of time-series data via spectral analysis

    Jha, D. K., Srivastav, A., Mukherjee, K. & Ray, A., Jul 28 2015, ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., p. 5812-5817 6 p. 7172250. (Proceedings of the American Control Conference; vol. 2015-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Spectrum analysis
    Time series
    Finite automata
    Dynamical systems
    Decomposition