Baibhab Chatterjee
Papers
1
Total Citations
6
H-Index
1
About
Baibhab Chatterjee is a leading researcher in energy-efficient integrated circuits and systems for edge intelligence, with a primary focus on low-power sensor interfaces and machine learning accelerators. His work addresses the critical challenge of processing massive data volumes from camera deployments in surveillance, healthcare, autonomous vehicles, and robotics, where traditional digital cameras generate Gbps data that must be compressed to tens of Mbps. Chatterjee’s most cited paper, published in 2023, introduces a groundbreaking 65 nm 2.02 mW 50 Mbps direct analog-to-MJPEG converter for video sensor nodes, achieving remarkable efficiency through a low-noise switched capacitor MAC-quantizer with automatic calibration and sparsity-aware ADC. This work, with 6 citations, exemplifies his contributions to reducing power consumption while maintaining high data throughput. Chatterjee’s research bridges analog and digital domains, enabling real-time compression directly on sensor nodes. His innovations are pivotal for next-generation edge devices, offering a path to sustainable, high-performance video processing in resource-constrained environments.
Research Focus
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Top Papers
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