Sunrita Poddar is a Principal Research Scientist with nine years of experience blending machine learning, signal processing, and optimization to solve real-world imaging problems. Based in Bengaluru and trained with a PhD in Electrical and Computer Engineering from the University of Iowa, she has driven algorithm development for dynamic MR reconstruction and ML-driven MR fingerprinting across academia and industry. At Analog Devices’ Algorithmic Solutions Group she pairs hands-on data analysis and prototype development with technical leadership, moving ideas from research to product-relevant solutions. Her background bridges deep academic rigor (high-performing PhD work) and applied R&D at Siemens Healthineers and Analog Devices, giving her a knack for translating advanced optimization and computer vision techniques into robust pipelines. An uncommon strength is her sustained focus on incomplete-data problems, where she combines dimensionality reduction and ML to recover signal fidelity under practical constraints.
9 years of coding experience
11 years of employment as a software developer
High School, High School at Bharatiya Vidya Bhavan, Kolkata
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, 4.2/4.0, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, 4.2/4.0 at University of Iowa
Dual Degree (B.Tech, M.Tech), Instrumentation Engineering, 8.3/10, Dual Degree (B.Tech, M.Tech), Instrumentation Engineering, 8.3/10 at Indian Institute of Technology, Kharagpur
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