Taking the Lag out of Jet Lag through Model-Based Schedule Design. - Dennis A. Dean II; Daniel B. Forger; Elizabeth B. Klerman (PLoS Comput. Biol., 2009)

Instantaneous monitoring of sleep fragmentation by point process heart rate variability and respiratory dynamics. - Luca Citi; Matt T. Bianchi; Elizabeth B. Klerman; Riccardo Barbieri (EMBC, 2011)

Mammalian Rest/Activity Patterns Explained by Physiologically Based Modeling. - Andrew J. K. Phillips; Ben D. Fulcher; Peter A. Robinson; Elizabeth B. Klerman (PLoS Comput. Biol., 2013)

Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. - Akane Sano; Andrew J. K. Phillips; Amy Z. Yu; Andrew W. McHill; Sara Taylor; Natasha Jaques; Charles A. Czeisler; Elizabeth B. Klerman; Rosalind W. Picard (BSN, 2015)

Prediction of Happy-Sad mood from daily behaviors and previous sleep history. - Akane Sano; Amy Z. Yu; Andrew W. McHill; Andrew J. K. Phillips; Sara Taylor; Natasha Jaques; Elizabeth B. Klerman; Rosalind W. Picard (EMBC, 2015)

Quantifying Pituitary-Adrenal Dynamics and Deconvolution of Concurrent Cortisol and Adrenocorticotropic Hormone Data by Compressed Sensing. - Rose T. Faghih; Munther A. Dahleh; Gail K. Adler; Elizabeth B. Klerman; Emery N. Brown (IEEE Trans. Biomed. Eng., 2015)

On-line EEG Denoising using correlated sparse recovery. - Manish Gupta 009; Scott A. Beckett; Elizabeth B. Klerman (ISMICT, 2016)

Multimodal ambulatory sleep detection. - Weixuan Chen; Akane Sano; Daniel Lopez Martinez; Sara Taylor; Andrew W. McHill; Andrew J. K. Phillips; Laura Barger; Elizabeth B. Klerman; Rosalind W. Picard (BHI, 2017)

On-line EEG Denoising and Cleaning Using Correlated Sparse Signal Recovery and Active Learning. - Manish Gupta 009; Scott A. Beckett; Elizabeth B. Klerman (Int. J. Wirel. Inf. Networks, 2017)

Modeling the adenosine system as a modulator of cognitive performance and sleep patterns during sleep restriction and recovery. - Andrew J. K. Phillips; Elizabeth B. Klerman; James P. Butler (PLoS Comput. Biol., 2017)

Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data. - Han Yu 008; Elizabeth B. Klerman; Rosalind W. Picard; Akane Sano (BHI, 2019)

Pharmaceutical-based entrainment of circadian phase via nonlinear model predictive control. - John H. Abel; Ankush Chakrabarty; Elizabeth B. Klerman; Francis J. Doyle III (Autom., 2019)

Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales. - Cheng Wan 005; Andrew W. McHill; Elizabeth B. Klerman; Akane Sano (CoRR, 2019)

Compensating for Sensor Error in the Model Predictive Control of Circadian Clock Phase. - Lindsey S. Brown; Elizabeth B. Klerman; Francis J. Doyle (IEEE Control. Syst. Lett., 2019)

Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales. - Cheng Wan 005; Andrew W. McHill; Elizabeth B. Klerman; Akane Sano (ACM Trans. Comput. Heal., 2021)

An Anticipatory Scheme for the Model Predictive Control of Circadian Phase for Expected Environmental Light Changes. - Lindsey S. Brown; Elizabeth B. Klerman; Francis J. Doyle (IEEE Control. Syst. Lett., 2022)

Sparse Deconvolution of Pulsatile Growth Hormone Secretion in Adolescents. - Jon X. Genty; Md. Rafiul Amin; Natalie D. Shaw; Elizabeth B. Klerman; Rose T. Faghih (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Sparse Deconvolution and Causality Analysis of Inflammatory Markers During Cardiac Surgery. - Vidya Raju; Ben Gibbison; Behnam Hajihossainlou; Elizabeth B. Klerman; Rose T. Faghih (EMBC, 2023)

Characterizing Alterations in Cortisol Secretion During Cardiac Surgery. - Vidya Raju; Ben Gibbison; Elizabeth B. Klerman; Rose T. Faghih (EMBC, 2023)

SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks. - Maryam Khalid; Elizabeth B. Klerman; Andrew W. McHill; Andrew J. K. Phillips; Akane Sano (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)