Personnal Informaiton
Professional Memberships
AE for Journal of King Saud University - Computer and Information Sciences
Invited Talk for ICAIBD 2022
Invited Talk for EMM 2022
Technical Committee of ICSIP 2022
Organizing Chair of IWEICT 2021
Session Chair of MliCom 2017
Committee Member of IWDCF 2017
Committee Member of Digital Media Forensics and Security in CSIG
Committee Member of MultiMedia in CSIG
Committee Member of Multimedia Information Security in CIE
Member of IEEE Signal Processing Society
Member of IEEE Computer Society
Member of CCF
Reviewer for: IEEE Transactions on Information Forensics and Security
Reviewer for: IEEE Transactions on Cybernetics
Reviewer for: IEEE Transactions on Circuits and Systems for Video Technology
Reviewer for: Computers & Security
Reviewer for: Signal Processing: Image Communication
Reviewer for: Journal of Information Security and Applications
Reviewer for: Journal of Visual Communication and Image Representation
Reviewer for: Acta Automatica Sinica
Reviewer for: Journal of Electronic Imaging
Reviewer for: China Information Hiding and Multimedia Security Workshop
Professional Experience
Jan. 2024 - Present
Professor, School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Oct. 2017 - Jan. 2019
Visiting Scholar, Department of Computer Science, State University of New York at Buffalo, Buffalo, NY, USA.
Jan. 2016 - Dec. 2023
Associate Professor, School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Sep. 2012 - Dec. 2015
Assistant Professor, School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Aug. 2010 - Aug. 2012
Post-Doc, Faculty of Management and Economics, Dalian University of Technology, Dalian, Liaoning, China.
Education
Ph.D.
July. 2010, Signal and Information Processing
Dalian University of Technology, Dalian, Liaoning, China
Dissertation: Study on Passive and Blind Digital Image Forensics Using Characteristics Introduced by Image Formation
M.S.
Jan. 2006, Signal and Information Processing
Dalian University of Technology, Dalian, Liaoning, China
B.S.
July. 2003, Electronic and Information Engineering
Dalian University of Technology, Dalian, Liaoning, China
Interest Area
1 Digital Image Forensics
(1)Facing the application of the judicial needs and the construction of the social credit system, and especially for the characteristic of the digital image being easy to be tempered, we study the passive blind forensics technology of digital image. Through the analysis and researches on the intrinsic statistical characteristics of digital image, we construct the feature space which is suitable for the identification and detection of the content authenticity of digital image, and we analyze the influence of the typical tampering and forgery operation on the feature of digital image, and also we study the method of accurate positioning of the detection and tempered forgery area of the tempered forgery digital image.
(2)In the aspect of integrity of the judicial evidence supervision chain, especially for the problem of source identification of digital image, we study the identification technology of access device type, access device model as well as access device individual of digital image, and also we use pattern recognition and machine learning to construct practical digital image source identification system and improve the judicial evidence supervision chain.
2 Image Steganography and Steganalysis
(1)For the steganography, we study the objective description and evaluation of the privacy and security constrained by digital image statistical feature model in which JPEG, BMP and so on are typical based on digital image statistical feature, then we constrain the safe image steganography algorithm based on statistical feature model.
(2)For the steganography, especially for the secret decision problem whether the measured data is hiding secret information, we respectively construct the targeted and generalized steganalysis detection algorithm from the extraction of the statistical characteristics of steganalysis and the research and design of the classification and so on, then we construct the steganalysis assistant decision system.
