ICVISP 2022 has been successfully held online 

during December 10-12, 2022. 



Conference Chair & Session Chair





Professor Jizhong Zhu is a foreign fellow of the Chinese Society of Electrical Engineering, an IET Fellow (a fellow of the British Institute of Engineering and Technology), a visiting researcher of the Royal Society, a leading innovation talent in Guangzhou, the chairman of the IEEE PES Intelligent Building, Load and Customer System Technical Committee (China), the editorial board of MPCE and other international journals, the chairman of the IEEE P2781 and P2783 standard working groups, a member of the IEEE SMC Standards Committee and IEEE Member of SMC Intelligent Power and Energy System Special Committee, member of National Power Demand Side Management Standard Committee, member of the Expert Committee of Guangdong Overseas Chinese Returnees Association. He has served as a member of the first National Innovation Award Review Committee, the chairman of the IEEE Power Load Subcommittee, and the chairman of the IEEE SBLC Asia-Pacific Working Group.


Session Chair

               Dr. Assem Abdel Hamied Moussa                                                                                    Dr. Md Baharul Islam

         Communication Chief Engineer Egypt Air Company                                                             University of Miami,USA

                                                             

                  



Keynote Session




Certificate of Keynote Speaker


Speech Title: Next Generation of Video Coding Technology: Standards, Patent war, Politics, and Financial Battle





Highlight Moments of Participants 






Part of the Photo Session






Part of the Certificates


Best Student Paper

                    

Paper ID: P007 

Speech Title: A Deep Learning-based Multi-language Document Layout Analysis Method

                                                                 



Best Paper


Paper ID: P019

Speech Title: An optimization framework for diabetic foot ulcer image classification