Shovan Maity
Papers
1
Total Citations
6
H-Index
1
About
Shovan Maity is a leading researcher in energy-efficient integrated circuits and systems, with a primary focus on low-power video sensor nodes and analog-to-information conversion. His work addresses the critical challenge of reducing power consumption in camera deployments for surveillance, healthcare, autonomous vehicles, and robotics, where conventional digital cameras generate Gbps data that must be compressed to Mbps. Maity’s major contribution is the development of a direct analog-to-MJPEG converter, demonstrated in a 65 nm CMOS chip that achieves just 2.02 mW power consumption at 50 Mbps throughput. This innovative design integrates a low-noise switched-capacitor MAC-quantizer with automatic calibration and sparsity-aware ADC, enabling efficient compression without the power overhead of traditional digital pipelines. His most-cited paper (2023, 6 citations) showcases this breakthrough, which is pivotal for extending battery life in wireless sensor networks. Maity’s work has been recognized for its potential to revolutionize edge computing in vision-based IoT systems, and his research continues to push the boundaries of ultra-low-power video processing, making him a notable figure in the field of mixed-signal IC design.
Research Focus
Key Achievements
Top Papers
- 1