• Supervisor of Master's Candidates
• Gender:Male
• Education Level:With Certificate of Graduation for Doctorate Study
• Alma Mater:Northwestern Polytechnical University
• Degree:Doctoral Degree in Engineering
• Status:在岗
• School/Department:Chongqing University of Posts and Telecommunications
• Business Address:综合实验楼A306
• Contact Information:ilovemymfandb@163.com
• E-Mail:1512a7d9ab105c045b986079e7867f91234760add995b5f2d7370067ef124c8eccb0cb128a13f7bfa4211871034c992732fc71e1d02fbcd0bf68d245b755462973dd4becbb2ce55fb92f85c7128c7d94b1db9f453cae9da255b35cb237ad24659f5f2dba32a7eb4e5b820d5c67a31ca71f358979891e539bbff91d7eef866fbe

• email:1512a7d9ab105c045b986079e7867f91234760add995b5f2d7370067ef124c8eccb0cb128a13f7bfa4211871034c992732fc71e1d02fbcd0bf68d245b755462973dd4becbb2ce55fb92f85c7128c7d94b1db9f453cae9da255b35cb237ad24659f5f2dba32a7eb4e5b820d5c67a31ca71f358979891e539bbff91d7eef866fbe

Peng(Michael) Wang, Male, PhD, lecturer, born in 1989, School of Integrated Circuits, Chongqing University of Posts and Telecommunications. He graduated from Northwestern Polytechnical University in 2021 with a PhD in Aerospace Manufacturing Engineering. His main research interests are machine vision and industrial product feature detection/anomaly detection, VR/AR/MR key technologies and their applications in manufacturing, VR/AR/MR remote collaboration and human-computer interaction technologies. He has published more than 10 SCI/EI papers, including one top paper in Q1 and one paper in Q2. He has applied for 3 national invention patents (1 granted), and presided over one Chongqing Natural Science Foundation project and three horizontal projects. As a main researcher, he has participated in more than 10 projects, such as the National Key R&D Program, the National Natural Science Foundation of China, the Pre-research of Equipment Development and Industry Horizontal Projects. He serves as a reviewer for international journals such as Advanced Engineering Informatics (Q1 in Chinese Academy of Sciences, IF=8.8), Automation in Construction (Q1 in Chinese Academy of Sciences, IF=10.3), and International Journal of Human-Computer Interaction (CCF B-class journal, Q3 in Chinese Academy of Sciences, IF=4.3).