Nirmoy Modak
Papers
1
Total Citations
5
H-Index
1
About
Dr. Nirmoy Modak is a pioneering researcher at the forefront of in-sensor computing and energy-efficient hardware design for real-time vision systems. His work addresses a critical bottleneck in modern AI-driven applications—the energy and latency costs of transferring massive sensor data to external processors. Dr. Modak’s most cited contribution, "Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection" (2024, 5 citations), introduces a groundbreaking approach that performs computation directly at the sensor node, bypassing power-hungry analog-to-digital converters. This innovation enables ultra-low-power, real-time edge detection, a fundamental task for autonomous vehicles, robotics, and IoT devices. By eliminating data transmission overhead, his method dramatically reduces energy consumption while maintaining high-speed processing—a vital step toward truly intelligent, self-contained sensors. Dr. Modak’s work is not only technically elegant but also practically impactful, offering a scalable path for deploying advanced vision capabilities in resource-constrained environments. His research is shaping the future of edge AI, where sensing and computing converge seamlessly.
Research Focus
Key Achievements
Top Papers
- 1