Kalman Filtering to Track Changes in Pupil Size for Automated Driving Systems. - Prarthana Pillai; Balakumar Balasingam; Arunita Jaekel; Francesco N. Biondi (VTC Fall, 2021)

Machine Learning Technique for Data Fusion and Cognitive Load Classification Using an Eye Tracker. - Aaron Collins; Prarthana Pillai; Balakumar Balasingam; Arunita Jaekel (ACR, 2023)

Model-Based Estimation of Mental Workload in Drivers Using Pupil Size Measurements. - Prarthana Pillai; Balakumar Balasingam; Francesco N. Biondi (AIM, 2023)

Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium Ion Batteries, Part-1: Performance Measures. - Prarthana Pillai; James Nguyen; Balakumar Balasingam (CoRR, 2023)

Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium Ion Batteries, Part-2: Data Collection Procedure. - Prarthana Pillai; James Nguyen; Balakumar Balasingam (CoRR, 2023)

Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium Ion Batteries, Part-3: Experimental Results. - Prarthana Pillai; James Nguyen; Balakumar Balasingam (CoRR, 2023)

On validating a generic camera-based blink detection system for cognitive load assessment. - Francesco N. Biondi; Frida Graf; Prarthana Pillai; Balakumar Balasingam (Cogn. Comput. Syst., 2023)

Closed-form Solution to Optimized CC-CV Charging of Li-ion Batteries Under Charging Time and Energy Loss Constraints. - Prarthana Pillai; Krishna R. Pattipati; Balakumar Balasingam (AIM, 2024)

Theoretical Performance Bound and Its Experimental Validation of Battery Capacity Estimates in Rechargeable Batteries. - Sneha Sundaresan; Prarthana Pillai; Krishna R. Pattipati; Balakumar Balasingam (IEEE Trans. Instrum. Meas., 2024)