Yuanyuan(Zoey) Zhou

Portrait

yzhou114@umd.edu



About Me

I am a fourth-year PhD student in Mechanical Engineering at the University of Maryland, College Park advised by Professor Jin-Oh Hahn. Previously, I completed my BS in Energy and Environment System Engineering at Zhejiang University and my MS in Mechanical Engineering at Tennessee State University. And I have worked as Mechanical Engineer in manufacturing industry for 4 years before starting my PhD journey.

My research interests span multimodal physiological signal analysis, state-space modeling, closed-loop control, and machine learning, with hands-on experience in 3D modeling and manufacturing.

News

Research Highlights

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PAPER

This paper comparatively investigated Median nerve stimulation (MNS) and auricular vagus nerve stimulation (AVNS) in terms of efficacy and mechanism of action in the context of mitigating acute stress-induced arousal. The findings may support future device development for addressing acute mental stress-induced arousal through MNS or AVNS, and they pave the way toward a better understanding of how to quantify the efficacy of such interventions.

Yuanyuan Zhou, Sina Masoumi Shahrbabak, Rayan Bahrami, Farhan N. Rahman, Jesus Antonio Sanchez-Perez, Asim H. Gazi, Omer T. Inan, Jin-Oh Hahn


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PAPER

We developed a novel synthetic multi-modal variable capable of capturing cardiovascular responses to acute mental stress and the stress-mitigating effect of transcutaneous median nerve stimulation (TMNS), as an initial step toward the overarching goal of enabling closed-loop controlled mitigation of the physiological response to acute mental stress.

Yuanyuan Zhou, Jesse D. Parreira, Sina Masoumi Shahrbabak, Jesus Antonio Sanchez-Perez, Farhan N. Rahman, Asim H. Gazi, Omer T. Inan, Jin-Oh Hahn


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PAPER

Continuously track acute mental stress by integrating multimodal physiological signals (ECG, PPG, SCG, BCG, EDA, respiration) to derive interpretable digital signatures and compute stress probabilities via collective inference, significantly outperforming traditional univariate approaches in accuracy and confidence.

Yuanyuan Zhou, Azin S. Mousavi, Yekanth R. Chalumuri, Jesse D. Parreira, Mihir Modak, Jesus Antonio Sanchez-Perez, Asim H. Gazi, Omer T. Inan, Jin-Oh Hahn


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PAPER

Develop analytical formulas which can serve as quantitative guidelines for the selection of the sampling rate for the electrocardiogram (ECG) required to calculate heart rate (HR) and heart rate variability (HRV) with a desired level of accuracy, for the first time.

Yuanyuan Zhou, Bryndan Lindsey, Samantha Snyder, Elizabeth Bell, Lucy Reider, Michael Vignos, Eyal Bar-Kochba, Azin Mousavi, Jesse D. Parreira, Casey Hanley, Jae Kun Shim, Jin-Oh Hahn


* denotes equal contribution.

Honors and Awards

Certificate

Activities

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