1.Brief Profile
Chuan QIN received the Ph.D. degree in signal and information processing from Shanghai University (Advisor: Prof. Shuozhong Wang), Shanghai, China, in 2008. Since Dec. 2008, he has been with the faculty of the School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, where he is currently a Full Professor. He was with Feng Chia University at Taiwan as a Postdoctoral Researcher (co-operate with Prof. Chin-Chen Chang, IEEE Fellow) from July 2010 to July 2012.
He has served as the Editorial Board Member for Signal Processing (Elsevier), JRTIP (Springer), and International Journal of Network Security. He has been the Associate Editor for JVCI (Elsevier) and EURASIP JIVP (Springer). He has been the technical reviewer for 30+ international journals, such as IEEE TIP, IEEE TIFS, IEEE TMM, IEEE TCSVT, IEEE SPL, Pattern Recognition, Information Sciences, and IET IP. He was the program co-chair of BDSIC 2020 and ICMSS 2019, the co-chair of the international workshop “Multimedia Content Security and Privacy Protection” for ICAIS 2019 and ICCCS 2018, and the co-chair of the invited session “Security and Privacy in Computer Forensics Applications” for IEEE IIHMSP 2014-2015. He served on the TPC of 30+ academic conferences, such as NCIG 2020, SICBS 2018, ICAIP 2017-2018, IWDCF 2015-2016, UBICOMM 2014-2015, ICS 2014, IUCC 2013, MINES 2010-2013, and FCST 2011-2012.
His research interests include image processing and multimedia security. He has published over 130 peer-reviewed papers in journals and conferences including IEEE TIP, IEEE TCSVT, IEEE MM, Information Sciences, Signal Processing and Pattern Recognition Letters. His current research works are supported by the NSFC. He won the Best Paper Award of CIHW 2016 and the Candidate of Excellent Paper Award of IEEE IIHMSP 2014. He is the member of technical committee on Image Forensics and Security for China Society of Image and Graphics.
2. Research Area
Multimedia Security, Image Processing, Data Hiding, AI Security, Deep Learning, Signal Processing in Encrypted Domain, Digital Forensic
3. Contact Information
Email address: qin@usst.edu.cn
