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    Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 009:;page 91005-1
    Author(s): Paul, Steve; Chowdhury, Souma
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In various applications of multi-robotics in disaster response, warehouse management, and manufacturing, tasks that are known a priori and tasks added during run time need to be assigned efficiently and without conflicts ...
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    An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 005
    Author(s): Ghassemi, Payam; Chowdhury, Souma
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Swarm robotic search aims at searching targets using a large number of collaborating simple mobile robots, with applications to search and rescue and hazard localization. In this regard, decentralized swarm systems are ...
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    A Differentiable Physics-Informed Machine Learning Approach to Model Laser-Based Micro-Manufacturing Process 

    Source: Journal of Manufacturing Science and Engineering:;2025:;volume( 147 ):;issue: 005:;page 51002-1
    Author(s): Oddiraju, Manaswin; Cleeman, Jeremy; Malhotra, Rajiv; Chowdhury, Souma
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Advanced manufacturing processes are often based on complex multiphysics phenomena that are either poorly understood or are computationally too expensive to simulate in the context of process design, control, or planning. ...
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    Modeling the Influence of Land Shape on the Energy Production Potential of a Wind Farm Site 

    Source: Journal of Energy Resources Technology:;2014:;volume( 136 ):;issue: 001:;page 11203
    Author(s): Chowdhury, Souma; Zhang, Jie; Tong, Weiyang; Messac, Achille
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: During wind farm planning, the farm layout or turbine arrangement is generally optimized to minimize the wake losses, and thereby maximize the energy production. However, the scope of layout design itself depends on the ...
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    Characterizing Uncertainty Attributable to Surrogate Models 

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 003:;page 31004
    Author(s): Zhang, Jie; Chowdhury, Souma; Mehmani, Ali; Messac, Achille
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper investigates the characterization of the uncertainty in the prediction of surrogate models. In the practice of engineering, where predictive models are pervasively used, the knowledge of the level of modeling ...
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    Sensitivity of Wind Farm Output to Wind Conditions, Land Configuration, and Installed Capacity, Under Different Wake Models 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 006:;page 61403
    Author(s): Tong, Weiyang; Chowdhury, Souma; Mehmani, Ali; Messac, Achille; Zhang, Jie
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In conventional wind farm design and optimization, analytical wake models are generally used to estimate the wakeinduced power losses. Different wake models often yield significantly dissimilar estimates of wake velocity ...
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