Countdown:

0D 0H 0M 0S
Important Dates
  • Paper submission due:

    January 31, 2026

  • Paper acceptance due:

    February 28, 2026

  • Registration deadline:

    March 31, 2026

  • Conference date:

    May 22-24, 2026

Organization
  • Organizer:

    Dalian Jiaotong University

  • In Association With

    Beijing University of Technology

    Chengdu University of Information Technology

    School of Electrical Engineering and Information, SouthWest Petroleum University

    School of Software, Nanchang Hangkong University

    Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition

  • General Chair:

    Ljiljana Trajković, Simon Fraser University, Canada

    Vijayakumar Varadarajan, University of Technology Sydney, Australia

  • Co-Chair:

    Sos S. Agaian, City University of New York, USA

    Yu-Dong Zhang, University of Leicester, UK

    Danilo Pelusi, Università degli Studi di Teramo, Italy

Contact US
Speakers

Deepak Kumar Jain

Deepak Kumar Jain (Senior Member, IEEE, Associate Professor, Dalian University of Technology, Dalian, China) received the B.E. degree in electronics and instrumentation from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India, in 2010, the M. Tech. degree in electronic and telecommunication from the Jaypee University of Engineering and Technology, Raghogarh-Vijaypur, India, in 2012, and the Ph.D. degree in pattern recognition and intelligent system from the Institute of Automation, University of Chinese Academy of Sciences, Beijing, China, in 2018., Area Chair of The 18th IEEE International Conference on Automatic Face and Gesture Recognition, Istanbul, Turkey 2024. Area Chair of The IEEE International Joint Conference on Biometrics (IJCB), New York, USA, 2024.Editorial Board Member of Information Fusion Journal, He has presented several papers in peer-reviewed conferences and has authored or co-authored numerous studies in science cited journals. His research interests include deep learning, machine learning, pattern recognition, and computer vision.