Publications

  • Leveraging sound speed dynamics in a generative deep learning framework for ray-based ocean acoustic tomography
    Priyabrata Saha, Richard X. Touret, Etienne Ollivier, Jihui Jin, Matthew McKinley, Justin Romberg, and Karim G. Sabra
    JASA Express Letters  (JASA-EL)  [Editor’s Pick], 2025
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  • Fast prediction of spatio-temporal temperature profiles in FinFET arrays via numerical and machine-learning approaches
    Mingeun Choi, Rinku Dutta, Priyabrata Saha, Mayur P. Singh, Saibal Mukhopadhyay, Suman Datta, and Satish Kumar
    IEEE International Electron Devices Meeting  (IEDM), 2024
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  • Online relational inference for evolving multi-agent interacting system
    Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, and Saibal Mukhopadhyay
    Advances in Neural Information Processing Systems  (NeurIPS), 2024
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  • Bridging autoencoders and dynamic mode decomposition for reduced-order modeling and control of PDEs
    Priyabrata Saha and Saibal Mukhopadhyay
    IEEE Conference on Decision and Control  (CDC), 2024
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  • Learning deep neural network controller for path following of unicycle robots
    Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, and Saibal Mukhopadhyay
    IEEE Robotics and Automation Letters  (RA-L), 2023
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  • Machine learning approaches for ray-based ocean acoustic tomography
    Jihui Jin, Priyabrata Saha, Nicholas C. Durofchalk, Saibal Mukhopadhyay, Justin Romberg, and Karim G. Sabra
    Journal of the Acoustical Society of America  (JASA), 2022
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  • Unravelled multilevel transformation networks for predicting sparsely-observed spatiotemporal dynamics
    Priyabrata Saha and Saibal Mukhopadhyay
    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  (RSTA), 2022
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  • A task-driven feedback imager with uncertainty-driven hybrid control
    Burhan Ahmad Mudassar, Priyabrata Saha, Marilyn Wolf, and Saibal Mukhopadhyay
    Sensors  (SENSORS), 2021
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  • A deep learning approach for predicting spatiotemporal dynamics from sparsely observed data
    Priyabrata Saha and Saibal Mukhopadhyay
    IEEE Access  (ACCESS), 2021
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  • Neural identification for control
    Priyabrata Saha, Magnus Egerstedt, and Saibal Mukhopadhyay
    IEEE Robotics and Automation Letters  (RA-L), 2021
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  • Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems
    Priyabrata Saha, Saurabh Dash, and Saibal Mukhopadhyay
    Neural Networks  (NEUNET), 2021
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  • Task-driven RGB-Lidar fusion for object tracking in resource-efficient autonomous system
    Kruttidipta Samal, Hemant Kumawat, Priyabrata Saha, Marilyn Wolf, and Saibal Mukhopadhyay
    IEEE Transactions on Intelligent Vehicles  (ITIV), 2021
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  • Cross-layer noise analysis in smart digital pixel sensors with integrated deep neural network
    Minah Lee, Mandovi Mukherjee, Edward Lee, Priyabrata Saha, Mohammad Faisal Amir, Taesik Na, and Saibal Mukhopadhyay
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems  (JETCAS), 2020
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  • Effect of process variations in digital pixel circuits on the accuracy of DNN-based smart sensor
    Minah Lee, Mandovi Mukherjee, Priyabrata Saha, Mohammad Faisal Amir, Taesik Na, and Saibal Mukhopadhyay
    IEEE International Conference on Artificial Intelligence Circuits and Systems  (AICAS), 2020
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  • Uncertainty characterization in active sensor systems with DNN-based feedback control
    Burhan Ahmad Mudassar, Priyabrata Saha, and Saibal Mukhopadhyay
    IEEE Sensors  (SENSORS-C), 2020
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  • MagNet: Discovering multi-agent interaction dynamics using neural network
    Priyabrata Saha, Arslan Ali, Burhan Ahmad Mudassar, Yun Long, and Saibal Mukhopadhyay
    IEEE International Conference on Robotics and Automation  (ICRA), 2020
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  • SAFE-DNN: A deep neural network with spike assisted feature extraction for noise robust inference
    Xueyuan She, Priyabrata Saha, Daehyun Kim, Yun Long, and Saibal Mukhopadhyay
    International Joint Conference on Neural Networks  (IJCNN), 2020
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  • A ferroelectric FET-based processing-in-memory architecture for DNN acceleration
    Yun Long, Daehyun Kim, Edward Lee, Priyabrata Saha, Burhan Ahmad Mudassar, Xueyuan She, Asif Islam Khan, and Saibal Mukhopadhyay
    IEEE Journal on Exploratory Solid-State Computational Devices and Circuits  (JXCDC), 2019
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  • A camera with brain-embedding machine learning in 3D sensors
    Burhan Ahmad Mudassar, Priyabrata Saha, Yun Long, Muhammad Faisal Amir, Evan Gebhardt, Taesik Na, Jong Hwan Ko, Marilyn Wolf, and Saibal Mukhopadhyay
    Design, Automation & Test in Europe Conference & Exhibition  (DATE), 2019
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  • CAMEL: An adaptive camera with embedded machine learning-based sensor parameter control
    Burhan Ahmad Mudassar, Priyabrata Saha, Yun Long, Mohammad Faisal Amir, Evan Gebhardt, Taesik Na, Jong Hwan Ko, Marilyn Wolf, and Saibal Mukhopadhyay
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems  (JETCAS), 2019
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  • Mixture of pre-processing experts model for noise robust deep learning on resource constrained platforms
    Taesik Na, Minah Lee, Burhan Ahmad Mudassar, Priyabrata Saha, Jong Hwan Ko, and Saibal Mukhopadhyay
    International Joint Conference on Neural Networks  (IJCNN), 2019
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  • Learning evolution of coupled dynamical systems with integrated data-driven and model-based approach
    Priyabrata Saha, Arslan Ali, Burhan Ahmad Mudassar, Yun Long, and Saibal Mukhopadhyay
    2nd NeurIPS Workshop on Machine Learning and the Physical Sciences  (MLPS), 2019
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  • Multispectral information fusion with reinforcement learning for object tracking in IoT edge devices
    Priyabrata Saha and Saibal Mukhopadhyay
    IEEE Sensors Journal  (SENSORS-J), 2019
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  • Fast adaptive motion estimation algorithm and its efficient VLSI system for high definition videos
    Rohan Mukherjee, Priyabrata Saha, Indrajit Chakrabarti, Pranab Kumar Dutta, and Ajoy Kumar Ray
    Expert Systems with Applications  (ESWA), 2018
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  • Adaptive control of camera modality with deep neural network-based feedback for efficient object tracking
    Priyabrata Saha, Burhan Ahmad Mudassar, and Saibal Mukhopadhyay
    15th IEEE International Conference on Advanced Video and Signal Based Surveillance  (AVSS), 2018
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