Battina Sindhu
Papers
1
Total Citations
3
H-Index
1
About
Battina Sindhu is a researcher specializing in energy-efficient VLSI architectures and digital signal processing for image processing applications. Her work focuses on designing low-power hardware implementations for real-world imaging systems, including medical diagnosis, pattern recognition, and robot vision. Her most-cited paper, "Energy Efficient 2D FIR Filter and Multiplier Design for Image Processing Applications" (2024), introduces a novel approach to reducing power consumption in 2D Finite Impulse Response (FIR) filters—critical components in many image processing pipelines. By optimizing multiplier designs, Sindhu’s contributions address the growing demand for energy-efficient computing in embedded and portable devices. Though early in her career, with 3 citations on this key work, her research holds promise for advancing sustainable hardware solutions. Her achievements include proposing designs that balance performance and energy savings, making her a rising voice in the field of low-power VLSI design. For students and researchers, Sindhu’s work highlights the intersection of hardware efficiency and practical imaging applications, offering a foundation for future innovations in green computing and real-time image processing systems.
Research Focus
Key Achievements
Top Papers
- 1