Special Session 3

Near-Sensor and In-Sensor Processing


Technological advances have provided abundant computing power, widespread connectivity, and various sensors to quantify real-world parameters, enabling the revolutions through the Internet of Things (IoT) or wearables, for instance. Increasingly, cognition (i.e., recognizing the context regarding how the data was generated) is more relevant than the raw sensor data. The next paradigm in developing sensing systems is to integrate the sensing and cognition abilities at or near the sensor so that patterns in the data are detected as it arrives without the need for backand-forth transmission of data. To this end, numerous unconventional computers, such as neuromorphic and reservoir computers, are being investigated.

The special session on In-Sensor/Near-Sensor Computing is intended to create a platform for the researchers in the field to discuss the latest developments as well as challenges and opportunities in this emerging field.

The special session will cover a broad range of topics related to in-sensor and near-sensor computing, including In-sensor and near-sensor computing architectures, Applications of insensor and near-sensor computing in various domains, such as healthcare, smart cities, and autonomous systems, and Integration of in-sensor and near-sensor computing with cloud and edge computing.


  • Simon Fraser University, British Columbia, Canada