COGNISENSE: Center on Cognitive Multispectral Sensors

Director: Saibal Mukhopadhyay
Assistant Director: James Buckwalter

The vision for COGNISENSE is to design sensors that dynamically adapt to “what is being sensed” and “how sensed signals are processed” according to the real-time changes in the environment. Our objective is to develop cognitive multi-spectral sensors that directly generate trustworthy insights from wideband multi-modal analog signals using closed-loop feedback control of the sensor hardware and feature extraction algorithms that enable energy-efficient sensing-to-action. In an autonomous system, our cognitive sensor will make efficient use of the available sensor power by only sampling the most useful part of a scene and generating only the most useful features. We will pursue a full-stack approach connecting circuits; signal processing, machine learning, and control algorithms; heterogeneous integration; system software; and applications to develop and demonstrate the COGNISENSE concepts. The center will be organized in five interacting themes: (1) Multi-spectral Array, (2) Analog-to-Insight, (3) Closed-loop Attention Control, (4) Heterogeneous System Integration, and (5) System Software and Integration.


  1. Current

    22 Projects
    12 Universities
    115 Research Scholars
    20 Faculty Researchers
    56 Liaison Personnel
  2. This Year

    67 Research Data
    3 Patent Applications
  3. Last Year

    22 Project Starts
    36 Research Data
  4. Since Inception

    22 Projects
    12 Universities
    120 Research Scholars
    21 Faculty Researchers
    69 Liaisons
    103 Research Data
    3 Patent Applications
Updated: 23-May-2024, 12:05 a.m. ET

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