A novel continuous time ternary encoding based SS-OCT calibration. - Amir Tofighi Zavareh; Oscar Barajas; Michael Serafino; Javier A. Jo; Brian E. Applegate; Brian M. Sadler; Sebastian Hoyos (BioCAS, 2016)

An efficient estimation algorithm for the calibration of low-cost SS-OCT systems. - Amir Tofighi Zavareh; Oscar Barajas; Sebastian Hoyos (ISBI, 2017)

Towards an on-chip signal processing solution for the online calibration of SS-OCT systems. - Oscar Barajas; Amir Tofighi Zavareh; Sebastian Hoyos (ISCAS, 2017)

Compressed Level Crossing Sampling for Ultra-Low Power IoT Devices. - Jun Zhou 002; Amir Tofighi Zavareh; Robin Gupta; Liang Liu 002; Zhongfeng Wang 001; Brian M. Sadler; José Silva-Martínez; Sebastian Hoyos (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

The Spectral Calibration of Swept-Source Optical Coherence Tomography Systems Using Unscented Kalman Filter. - Amir Tofighi Zavareh; Sebastian Hoyos (BioCAS, 2018)

Blocker-Tolerant RF-to-Digital Linearization With a Very Nonlinear Auxiliary Path. - Julian Camilo Gomez Diaz; Amir Tofighi Zavareh; Lester Boampong; Sebastian Hoyos (MWSCAS, 2019)

Kalman-Based Real-Time Functional Decomposition for the Spectral Calibration in Swept Source Optical Coherence Tomography. - Amir Tofighi Zavareh; Sebastian Hoyos (IEEE Trans. Biomed. Circuits Syst., 2020)

A Versatile Multichannel Instrument for Measurement of Ratiometric Fluorescence Intensity and Phosphorescence Lifetime. - Amir Tofighi Zavareh; Brian Ko; Jason Roberts; Sakib Elahi; Michael J. McShane (IEEE Access, 2021)

Multivariate Analysis of Optoelectronic Detection Units for the Maximization of Photon Interaction with Implanted Sensing Material. - Briley M. James; Amir Tofighi Zavareh; Michael J. McShane (IEEE SENSORS, 2022)

Improving Mental Health Support in Engineering Education using Machine Learning and Eye-Tracking. - Yuexin Liu; Wei Lu; Amir Tofighi Zavareh; Michelle Rigsby; Ben Zoghi (FIE, 2023)

Work-In-Progress: Investigate Eye-Tracking Metrics and Effectiveness of Visual Learning Aids in Online Learning Environments for Students with Learning Disabilities Using Machine Learning. - Yuexin Liu; Wei Lu; Amir Tofighi Zavareh; Ben Zoghi (FIE, 2023)

AI-Powered Strategies for Alleviating Graduate Student Burnout Through Emotional Intelligence and Wearable Technology. - Yuexin Liu; Amir Tofighi Zavareh; Ben Zoghi (FIE, 2024)

In Vitro System for Evaluation of Biosensors in Controlled Dynamic Environmental Conditions. - Brian Ko; Amir Tofighi Zavareh; Michael J. McShane (IEEE Trans. Instrum. Meas., 2024)