Ravi Teja

Texas Instruments (India)

Papers

1

Total Citations

72

H-Index

1

About

Ravi Teja is a leading researcher in millimeter-wave (mm-wave) CMOS radar technology, with a focus on high-performance, small-form-factor sensors for automotive and industrial applications. His most cited work, a 2021 paper with 72 citations, details the development of mm-wave radar systems operating in the 76-to-81 GHz and 57-to-64 GHz bands—critical frequency ranges for advanced driver-assistance systems (ADAS) and industrial sensing. Teja’s major contribution lies in advancing CMOS-based radar solutions that enable multi-mode functionality, supporting long, medium, and short-range detection in a compact, cost-effective package. This innovation has accelerated the deployment of radar sensors in autonomous vehicles, enhancing safety through precise object detection and collision avoidance. His work is highly impactful, with his top-cited paper serving as a foundational reference for researchers and engineers developing next-generation automotive radar systems. Teja’s achievements underscore his role in bridging the gap between high-frequency radar performance and practical, scalable CMOS integration, making him a key figure in the evolution of smart sensing technologies for transportation and industry.

Research Focus

Key Achievements

1
H-Index
1
Papers
72
Total Citations
72
Avg Citations/Paper
🏆 Most Cited Paper
2.2 High-Performance and Small Form-Factor mm-Wave CMOS Radars for Automotive and Industrial Sensing in 76-to-81GHz and 57-to-64GHz Bands
72 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Texas Instruments (India)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago