Scalable Data Center Power Management via a Global Stress Signal. - Daniel Miller 001; Neal Master; Zhengyuan Zhou; Nicholas Bambos (GLOBECOM, 2015)

Detecting Inaccurate Predictions of Pediatric Surgical Durations. - Zhengyuan Zhou; Daniel Miller 001; Neal Master; David Scheinker; Nicholas Bambos; Peter W. Glynn (DSAA, 2016)

A Stochastic Stability Characterization of the Foschini-Miljanic Algorithm in Random Wireless Networks. - Zhengyuan Zhou; Daniel Miller 001; Nicholas Bambos; Peter W. Glynn (GLOBECOM, 2016)

Dynamic control of data center network and computation resources. - Daniel Miller 001; Li Xia; Zhengyuan Zhou; Nicholas Bambos (ICNC, 2017)

Improving predictions of pediatric surgical durations with supervised learning. - Neal Master; Zhengyuan Zhou; Daniel Miller 001; David Scheinker; Nicholas Bambos; Peter W. Glynn (Int. J. Data Sci. Anal., 2017)

Service Rate Control of Tandem Queues With Power Constraints. - Li Xia; Daniel Miller 001; Zhengyuan Zhou; Nicholas Bambos (IEEE Trans. Autom. Control., 2017)

Sensing-Constrained Power Control in Digital Health. - Daniel Miller 001; Zhengyuan Zhou; Nicholas Bambos; Irad Ben-Gal (ACC, 2018)

Optimal Health Monitoring via Wireless Body Area Networks. - Yair Bar David; Tal Geller; Evgeni Khmelnitsky; Irad Ben-Gal; Andrew Ward; Daniel Miller 001; Nicholas Bambos (CDC, 2018)

Automatic Sleep Arousal Identification From Physiological Waveforms Using Deep Learning. - Daniel Miller 001; Andrew Ward; Nicholas Bambos (CinC, 2018)

Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders. - Daniel Miller 001; Andrew Ward; Nicholas Bambos; David Scheinker; Andrew Young Shin (HealthCom, 2018)

Optimal Sensing for Patient Health Monitoring. - Daniel Miller 001; Zhengyuan Zhou; Nicholas Bambos; Irad Ben-Gal (ICC, 2018)

Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks. - Daniel Miller 001; Andrew Ward; Nicholas Bambos; Andrew Young Shin; David Scheinker (HealthCom, 2019)

Learning Health State Transition Probabilities via Wireless Body Area Networks. - Tal Geller; Yair Bar David; Evgeni Khmelnitsky; Irad Ben-Gal; Andrew Ward; Daniel Miller 001; Nicholas Bambos (ICC, 2019)