World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
54
Citations
12193
World Ranking
938
National Ranking
392

Electronics and Electrical Engineering

D-Index
54
Citations
12328
World Ranking
2268
National Ranking
888

Research.com Recognitions

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2002 - Fellow of the Royal Society of Canada Academy of the Arts and Humanities
  • 2002 - IEEE Fellow For contributions to aerospace and electromechanical systems.
  • 1994 - Fellow of the American Society of Mechanical Engineers

Overview

Asok Ray is affiliated with Pennsylvania State University in the United States and has an extensive research portfolio spanning engineering and computer science, with a focus on mechanical engineering, control and systems engineering, artificial intelligence, computational mechanics, and mechanics of materials.

Their research addresses a range of technical topics including:

  • Fault Detection and Control Systems
  • Non-Destructive Testing Techniques
  • Time Series Analysis and Forecasting
  • Ultrasonics and Acoustic Wave Propagation
  • Combustion and Flame Dynamics
  • Neural Networks and Applications
  • Structural Health Monitoring Techniques

Asok Ray has published extensively in several key venues, among which the most frequent are:

  • Journal of Dynamic Systems Measurement and Control
  • Sci
  • Mechanical Systems and Signal Processing
  • ASME Letters in Dynamic Systems and Control
  • Fatigue & Fracture of Engineering Materials & Structures

Recent publications include:

  • Investigation of Melt Pool Geometry Control in Additive Manufacturing Using Hybrid Modeling, 2020, Metals
  • A Dynamically Stabilized Recurrent Neural Network, 2021, Neural Processing Letters
  • Classification of Fatigue Crack Damage in Polycrystalline Alloy Structures Using Convolutional Neural Networks, 2020, Engineering Failure Analysis
  • A Multivariate Adaptive Gradient Algorithm with Reduced Tuning Efforts, 2022, Neural Networks
  • Transfer Learning of Deep Neural Networks for Predicting Thermoacoustic Instabilities in Combustion Systems, 2021, Energy and AI

The scientist frequently collaborates with a number of coauthors. Notable frequent collaborators include:

  • Chandrachur Bhattacharya
  • Hassan Alqahtani
  • Sudeepta Mondal
  • Achintya Mukhopadhyay
  • Amrita Basak

Over the course of their career, Asok Ray has received a number of professional recognitions, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2019
  • IEEE Fellow, 2002, for contributions to aerospace and electromechanical systems
  • Fellow of the Royal Society of Canada, 2002, Academy of the Arts and Humanities
  • Fellow of the American Society of Mechanical Engineers, 1994

Best Publications

  • Integrated Communication and Control Systems: Part I—Analysis

    Yoram Halevi;Asok Ray

  • An observer-based compensator for distributed delays

    Rogelio Luck;Asok Ray

  • Symbolic dynamic analysis of complex systems for anomaly detection

    Asok Ray

  • Integrated Communication and Control Systems: Part II—Design Considerations

    Asok Ray;Yoram Halevi

  • Symbolic time series analysis via wavelet-based partitioning

    Venkatesh Rajagopalan;Asok Ray

  • Experimental verification of a delay compensation algorithm for integrated communication and control systems

    Rogelio Luck;Asok Ray

  • Stochastic modeling of fatigue crack dynamics for on-line failure prognostics

    A. Ray;S. Tangirala

  • Output feedback control under randomly varying distributed delays

    Asok Ray

  • A Stochastic Regulator for Integrated Communication and Control Systems: Part I—Formulation of Control Law

    Luen-Woei Liou;Asok Ray

  • Target Detection and Classification Using Seismic and PIR Sensors

    Xin Jin;S. Sarkar;A. Ray;S. Gupta

  • Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns

    Chinmay Rao;Asok Ray;Soumik Sarkar;Murat Yasar

  • State Estimation Using Randomly Delayed Measurements

    A. Ray;L. W. Liou;J. H. Shen

  • Symbolic time series analysis of ultrasonic data for early detection of fatigue damage

    Shalabh Gupta;Asok Ray;Eric Keller

  • State splitting and merging in probabilistic finite state automata for signal representation and analysis

    Kushal Mukherjee;Asok Ray

  • Space partitioning via Hilbert transform for symbolic time series analysis

    Aparna Subbu;Asok Ray

  • An introduction to sensor signal validation in redundant measurement systems

    A. Ray;R. Luck

  • Damage-Mitigating Control of Mechanical Systems: Part I—Conceptual Development and Model Formulation

    Asok Ray;Min-Kuang Wu;Marc Carpino;Carl F. Lorenzo

  • Fatigue crack growth under variable-amplitude loading: Part I – Model formulation in state-space setting

    Asok Ray;Ravindra Patankar

  • Fatigue crack growth under variable-amplitude loading: Part II – Code development and model validation

    Asok Ray;Ravindra Patankar

  • Linear Unbiased State Estimation under Randomly Varying Bounded Sensor Delay

    E. Yaz;A. Ray

Frequent Co-Authors

Soumik Sarkar
Soumik Sarkar Iowa State University
Vigor Yang
Vigor Yang Georgia Institute of Technology
Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
Christopher D. Rahn
Christopher D. Rahn Pennsylvania State University
Soundar R. T. Kumara
Soundar R. T. Kumara Pennsylvania State University
Matthew M. Mench
Matthew M. Mench University of Tennessee at Knoxville
Kwang Y. Lee
Kwang Y. Lee Baylor University
Derek Elsworth
Derek Elsworth Pennsylvania State University
Bruce J. West
Bruce J. West US Army Research Office
Akhlesh Lakhtakia
Akhlesh Lakhtakia Pennsylvania State University

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