Biography

Dr. WANG Jian, received his Ph.D. in Information and Communication Engineering, from Shanghai Jiaotong University. He is currently a Associate Professor of the School of Electronic and Information Engineering at Tianjin University.

He and his group at Tianjin University have published more than 30 refereed journal and conference papers. Dr. LIU has been awarded more than 10 Chinese patents.

Education

Ph D (Information and Communication Engineering), Shanghai Jiaotong University, 1999

MS (Signal and Information Processing), Shandong University, 2002

BS (Electronic Engineering), Shandong University of Technology, 1999

Research Interests

(1) Low-level image processing, especially on image enhancement and restoration.

(2) Computer vision and its application in industrial inspection

Selected Publications (2011-2013)

(1). Jian Wang, Chinese Character Stroke based Orientation Identification for Scanned Document[C], CISP-BMEI, 2018

(2). Jian Wang, Yanwei Pang, Yuqing He, Jing Pan, ECG Waveform Extraction from Paper,  ICIG 2017, Part II, LNCS 10667, pp. 505-512, 2017.

(3). Jian Wang, Yanwei Pang, Yuqing He, and Changshu Liu, Enhancement for Dust-sand storm images, MMM 2016, Part I, LNCS 9516, pp. 842–849, 2016.

(4).Li Ying, Jian Wang, Zhanjie Song, “Multivariate spectral estimation based on THREE”[J] The Journal of China University of Post and Telecommunications, 2015, 22(4),pp:26-32.

(5).Chongyi Li, Jichang Guo, Yanwei Pang, Shanji Chen, Jian Wang, Single underwater image restoration by blue-green channels dehazing and red channel correction[C], ICASSP 2016, pp: 1731-1735.

(6). Chongyi Li , Jichang Guo, Shanji Chen, Yibin Tang, Yanwei Pang, Jian Wang, Underwater image restoration based on minimum information loss principle and optical properties of underwater imaging[C], ICIP 2016, pp: 1993-1997.

Selected Awards and Honors

(1) The Prize for Advance on Science and Technology of Tianjin in 2018

Teaching Experience

(1) Digital image processing

(2) The Application of Computer vision

(3) The Principle of Computer Detecting and recognition