Somali Chaterji

Associate Professor, Agricultural & Biological Engineering; Elmore Family School of Electrical and Computer Engineering; and Laboratory of Renewable Resources Engineering

Research: Rightsizing machine learning (ML) for resource-constrained cyber-physical systems (CPS), cloud computing, and computational genomics
Remove the text under this and replace with: Design, optimization, and deployment of ML models for real-time analytics in autonomous perception, digital agriculture, and precision health. Emphasis on model calibration and configuration tuning to balance accuracy, latency, and energy efficiency. Development of interpretable, machine learning frameworks for single-cell genomics and perturbation-resilient CPS.

Email:  schaterji@purdue.edu
Phone:  (765) 494-1219
Links: Google Scholar
LinkedIn