Name  

Dr. Yangong Zheng

Homepage  

Affiliation  

Ningbo University, China

Bio Statement  

1. A.    Personal Date

Affiliation: Faculty of Electrical Engineering and Computer Science,                 Ningbo University,                

Ningbo, Zhejiang, 315000, China.

Date of Birth: December 19, 1983

Tel: 86-13216681910

Email: zhengyangong@gmail.com

Research Interests: Gas sensor, electronic nose and related materials.

 

B. Education:

2009.9-2014.6   

Ph.D. in Circuits and Systems (Superadvisor: Jing Wang)

School of Electronic Science and Technology,

Dalian University of Technology,

Dalian, Liaoning, China.

 

2011.9-2013.9   

Joint Ph.D. program in Chemistry Department (Superadvisor: Prabir K. Dutta)

The Ohio State University,

Columbus, OH 43210, USA.

 

2006.9-2009.4   

M.S. in Microelectronics and Solid State Electronics (Superadvisor: Rongyan Chuai)

School of Information Science and Engineering,

Shenyang University of Technology,

Shenyang, Liaoning, China.

 

2002.9-2006.6

B.S. in Electronic Science and Technology

School of Information Science and Engineering,

Shenyang University of Technology,

Shenyang, Liaoning, China.

 

C. Academic Positions

Ningbo University,

Faculty of Electrical Engineering and Computer Science

2016.10-Current            Assistant Professor      

2014.7-2016.10             Postdoctoral Research Fellow  

 

D. Honours and Awards:

1. Excellent Student Award by Shenyang University of Technology, Shenyang, Liaoning, China.

2. The First Prize in Liaoning Province Natural Science Academic Achievement Award, China.

 

E. Publications:

[1] Rongyan Chuai, Yangong Zheng, Benwei Liu, Pressure sensor technology for sacrifice layer structure, Journal of Shenyang University of Technology, 31(2009) 587-90. (Chinese)

[2] Rongyan Chuai, Lin Cui, Jian Wang, Benwei Liu, Yangong Zheng, Design of Polysilicon Nano-film Sacrifice layer Pressure Sensor Structure, Instrument Technique and Sensor, (2010) 10-3. (Chinese)

[3] Yangong Zheng, Jing Wang, Prepare Oxide Nanofibers via Electrospinning and Its Gas-Sensing Performance, Journal of Functional Material, 42(2011) 1-4. (Chinese)

[4] Yangong Zheng, J. Wang, P. Yao, Formaldehyde sensing properties of electrospun NiO-doped SnO₂ nanofibers, Sens Actuators B, 156(2011) 723-30.

[5] M. Su, J. Wang, H. Du, P. Yao, Yangong Zheng, X. Li, Characterization and humidity sensitivity of electrospun ZrO₂:TiO₂ hetero-nanofibers with double jets, Sens Actuators B, 161(2012) 1038-45.

[6] Yangong Zheng, X. Li, P.K. Dutta, Exploitation of Unique Properties of Zeolites in the Development of Gas Sensors, Sensors, 12(2012) 5170-94.

[7] Yangong Zheng, J. Wang, P. Chen, C. Li, X. Li, Structure and Gas-Sensing Behavior of Electrospun Titania-Doped Chromium Oxide Fibers, International Journal of Applied Ceramic Technology, 10(2013) E304-E309.

[8] M. Severance, Yangong Zheng, E. Heck, P.K. Dutta, Influence of Crystallite Size on Cation Conductivity in Faujasitic Zeolites, The Journal of Physical Chemistry A, 117(2013) 13704-13711.

[9] Yangong Zheng, M.R. Mullen, P.K. Dutta, Interaction of Ammonia with Intrazeolitic Silver ions: Development of an Ammonia Sensor, Sens Actuators B, 193(2014) 542-51.

[10] Yangong Zheng, Q. Qiao, J. Wang, X. Li, J. Jian, Gas sensing behavior of palladium oxide for carbon monoxide at low working temperature, Sensors and Actuators B: Chemical, 212(2015) 256-63.

[11] L. Zhu, Yangong Zheng, J. Jian, Effect of palladium oxide electrode on potentiometric sensor response to carbon monoxide, Ionics, 21(2015) 2919-26.

[12] Q. Wu, Yangong Zheng, J. Jian, J. Wang, Gas sensing performance of ion-exchanged Y zeolites as an impedimetric ammonia sensor, Ionics, (2016) 1-8.

[13] ZHENG Yan-Gong, ZHU Li-Na, LI Han-Yu, JIAN Jia-Wen, DU Hai-Ying. Working Mechanism of Palladium Oxide as Sensing Electrode for Potentiometric Sensor. Acta Phys. -Chim. Sin., 0, (): 0-0.    doi: 10.3866/PKU.WHXB201612122

[14] Z. Chen, Yangong Zheng, K. Chen, H. Li, J. Jian, Concentration Estimator of Mixed VOC Gases Using Sensor Array With Neural Networks and Decision Tree Learning, IEEE Sens J, 17(2017) 1884-92.

 

F. Research Grants

2015.8   National Natural Science Foundation of China [grant numbers 61501271]

2015.2   Natural Science Foundation of Ningbo [grant number 2015A610108]

2015.11  China Postdoctoral Science Foundation [grant number 2015M581906]

2015.6  Research Foundation of Ningbo University