Under the mentorship of Professor Dennis Bernstein, Ms. Sanjeevini is developing new techniques for detecting and diagnosing faulty sensors. Sensors are critical components of all technological systems, and sensor failure in aircraft can result in catastrophic events. Ms. Sanjeevini focuses her work on a specific topic in systems and control theory, namely input estimation, which uses output measurements to estimate the unknown system input.
“In order to detect and diagnose sensor failures, I will use input estimation to estimate the measurements that are expected from a sensor and then compare them with the actual sensor measurements,” Sanjeevini explained. “I am currently working on the theory of input estimation and developing new input-estimation algorithms. I will then apply these algorithms to sensor fault detection and diagnosis. The ultimate goal of my research is to prevent car and aircraft accidents by enhancing sensor reliability.”
Sneha Sanjeevini received her undergraduate degree in Electronics and Instrumentation from the College of Engineering Trivandrum, India. She completed her master’s degree in control and instrumentation from the Indian Institute of Technology Madras, India. She is currently in her fifth year in the U-M Aerospace Engineering PhD program. She has given talks at major conferences in Milwaukee and Philadelphia.