Sindhu Babu Logiah

Developed and deployed nonlinear filters (EKF, UKF, particle filters) in Python for multi-target tracking on FMCW radar prototype hardware, including fixed-point algorithm modelling. Established radar measurement setups, optimized detection algorithms, and collaborated with multidisciplinary teams to deliver robust prototype solutions.

Career break for full-time parenting.

Developed real-time face detection algorithms using computer vision and machine learning, and applied AI/ML-based enhancement methods to improve signal quality. Designed and implemented DSP algorithms to enhance data accuracy and system performance under real-world conditions.

Modelled and simulated multi-target tracking and nonlinear filtering algorithms in MATLAB for defense radar applications, and implemented multi-sensor data fusion algorithms. Developed bearing-only tracking algorithms, contributed to IFF radar SNR estimation, and authored 6+ peer-reviewed publications.

Master of Technology in Biomedical Engineering with a thesis on segmentation and analysis of retinal vessels for vessel abnormality determination.

Bachelor of Engineering in Electronics & Communication Engineering, awarded Best Bachelor Thesis Award 2010-11.

Verified Certificate in Neural Networks and Deep Learning.

Verified Certificate in Machine Learning with Python.

Verified Certificate in Natural Language Processing in TensorFlow.