Basita Das
Papers
1
Total Citations
2
H-Index
1
About
Basita Das is an emerging researcher at the forefront of autonomous materials characterization and self-driving laboratory systems. Her work centers on integrating robotics, machine learning, and semiconductor physics to accelerate materials discovery and characterization workflows. Her most notable contribution, "A self-supervised robotic system for autonomous contact-based spatial mapping of semiconductor properties" (2025), demonstrates her innovative approach to combining robotically driven measurement techniques with deep learning frameworks to achieve high-precision, reliable, and high-throughput semiconductor property mapping. By addressing critical challenges such as pixel-precision positioning and autonomous decision-making in contact-based characterization, Das is pushing the boundaries of what self-driving laboratories can accomplish without constant human intervention. Though early in her career with her leading work accumulating 2 citations since its 2025 publication, the significance of her research lies in its potential to transform how researchers probe and understand semiconductor materials at scale. Her interdisciplinary approach — bridging robotics, computer vision, and materials science — positions her as a promising voice in the rapidly growing field of AI-accelerated scientific discovery and laboratory automation.
Research Focus
Key Achievements
Top Papers
- 1