Simiao Niu

Assistant Professor

Biomedical Engineering

Phone:848-445-6567
Fax:732-445-3753
Email:simiao.niu@rutgers.edu
Office:304
Office Hours: By appointment
Website: Dr. Simiao Niu

Simiao Niu is an assistant professor in the Department of Biomedical Engineering, Rutgers University. His current work focused on wearable physiological signal monitoring systems and energy harvesting systems for biomedical applications.

Before Rutgers, Simiao was a hardware system engineer in the health sensing and health technologies team at Apple Inc. He received his postdoctoral training in the Department of Chemical Engineering, Stanford University, under the mentorship of Prof. Zhenan Bao, and received his Ph.D. degree in the School of Materials Science and Engineering at the Georgia Institute of Technology in 2016, under the mentorship of Prof. Zhong Lin Wang. The Niu Lab at Rutgers seeks to build a wearable wireless bioelectronic network to perform continuous monitoring of human physiological signals and reduce chronic disease health burden.

Education

Postdoc, Chemical Engineering, Stanford University, 2016-2020
Ph.D., Materials Science & Engineering, Georgia Institute of Technology, 2016
M.S., Electrical & Computer Engineering, Georgia Institute of Technology, 2015
B.S., Institute of Microelectronics, Tsinghua University, 2011

Honors

Research.com 2022 Rising Star of Science Award
Apple Special Recognition Award (Recognize Employee’s Vital Contribution to Apple)
Clarivate Web of Science Highly Cited Researcher in the Cross-Field (Year 2020, 2021, 2022) 
The 36th Japan Telecommunications Advancement Foundation Award Materials Research Society (MRS) Graduate Student Silver Award (Spring 2015, Spring 2016) 

Professional Affiliations

Materials Research Society (MRS)
Institute of Electrical and Electronics Engineers (IEEE)

Research Interests

Wearable electronics for various chronic disease management (focusing on using electrical, optical, mechanical, and thermal methods to extract human physiological signals, such as electrocardiogram (ECG), photoplethysmography (PPG), electromyography (EMG), body temperature etc.), stretchable electronics (stretchable materials, devices, and sub-circuits), energy harvesting technologies, hydrogels, soft robotics, machine learning algorithms for biosignal processing

Selected Publications

1. Y. Jiang*, A. Trotsyuk*, S. Niu*, (*equal authorship) …, G. C. Gurtner, Z. Bao. “Wireless, smart bandage with closed loop sensing and stimulation to accelerate healing of chronic wounds”. Nature Biotechnology, 2022, DOI: 10.1038/s41587-022-01528-3.
2. N. Matsuhisa*, S. Niu*, (*equal authorship) …, Z. Bao. “High-Frequency and Intrinsically Stretchable Polymer Diodes”. Nature 2021, 600, 246-252.
3. S. Niu*, N. Matsuhisa*, …, X. Chen, Z. Bao. “A Wireless Body Area Sensor Network System Based on Stretchable Passive Tags”. Nature Electronics 2019, 2, 361. 
4. F. Yi*, X. Wang*, S. Niu*, (*equal authorship) …, Z. L. Wang. “A Highly Shape-adaptive, Stretchable Design Based on Conductive Liquid for Energy Harvesting and Self-powered Biomechanical Monitoring”. Science Advances, 2016, 2, e1501624.
5. S. Niu*, X. Wang*, F. Yi, Y. S. Zhou, Z. L. Wang. “A Universal Self-Charging System Driven by Random Biomechanical Energy for Sustainable Operation of Mobile Electronics”. Nature Communications 2015, 6, 8975.
6. Y. Zi*, S. Niu*, (*equal authorship) …, Z. L. Wang. “Standards and Figure-of-merits for Quantifying the Performance of Triboelectric Nanogenerators”. Nature Communications 2015, 6, 8376.
7. S. Niu*, S. Wang*, …, Z. L. Wang. “Theoretical Study of Contact-Mode Triboelectric Nanogenerators as an Effective Power Source”. Energy & Environmental Science 2013, 6, 3576-3583.