Ankur Agrawal

Papers

Total Citations

105

H-Index

About

Ankur Agrawal is a researcher at the forefront of two transformative fields: energy-efficient computing and tangible human-computer interaction. His work in **approximate computing** has been highly influential, with his landmark 2016 paper, “Approximate Computing: Challenges and Opportunities,” amassing over 100 citations. In this work, Agrawal demonstrated how sacrificing a degree of computational precision can dramatically improve energy efficiency for data analytics and cognitive applications—a critical insight for scaling AI on resource-constrained devices. On the interactive side, Agrawal pioneered novel sensing systems for tangible play. His 2018 paper on a “Tangible Play Surface Using Passive RFID Sensor Array” introduced two innovative approaches for tracking objects on a surface without batteries, enabling prototypes like the robotic fire truck “Code Maker.” This work bridges the digital and physical worlds, opening new possibilities for educational toys and smart environments. By spanning both foundational theory and applied system design, Agrawal’s research offers a compelling vision for how we can build smarter, more efficient, and more interactive technology.