Using face and object detection to quantify looks during social interactions. - Shengyao Guo; Eric Ho; Yalun Zheng; Qiming Chen; Vivian Meng; John Cao; Si Wu; Leanne Chukoskie; Pamela C. Cosman (ISBI, 2018)

Quantifying Gaze Behavior During Real-World Interactions Using Automated Object, Face, and Fixation Detection. - Leanne Chukoskie; Shengyao Guo; Eric Ho; Yalun Zheng; Qiming Chen; Vivian Meng; John Cao; Nikhita Devgan; Si Wu; Pamela C. Cosman (IEEE Trans. Cogn. Dev. Syst., 2018)

Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems. - Muhammad Umar B. Niazi; John Cao; Xudong Sun 002; Amritam Das; Karl Henrik Johansson (ACC, 2023)

Sensor Fault Detection and Isolation in Autonomous Nonlinear Systems Using Neural Network-Based Observers. - John Cao; Muhammad Umar B. Niazi; Karl Henrik Johansson (CoRR, 2023)

Sensor Fault Detection and Isolation in Autonomous Nonlinear Systems Using Neural Network-Based Observers. - John Cao; Muhammad Umar B. Niazi; Matthieu Barreau; Karl Henrik Johansson (ECC, 2024)

ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring. - Rayan Ansari; John Cao; Sabyasachi Bandyopadhyay; Sanjiv M. Narayan; Albert J. Rogers; Mert Pilanci (ICASSP, 2025)

KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning. - Muhammad Umar B. Niazi; John Cao; Matthieu Barreau; Karl Henrik Johansson (CoRR, 2025)