2026 International Conference on Intelligent Perception and Computing (IPC 2026)

About this conference

The 2026 International Conference on Intelligent Perception and Computing (IPC 2026) is a premier academic forum dedicated to exploring the cutting-edge convergence of intelligent sensing, perception technologies, and advanced computing systems. Scheduled to take place from October 6–8, 2026, in the vibrant coastal city of Hangzhou, China, IPC 2026 serves as a specialized track of The 7th International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2026).

In an era defined by the rapid proliferation of Internet of Things (IoT) devices, autonomous systems, and big data, the ability to accurately perceive the physical world and process information intelligently has become paramount. IPC 2026 addresses this critical need by bringing together leading researchers, engineers, and industry practitioners to discuss breakthroughs in computer vision, sensor fusion, edge computing, pattern recognition, and cognitive computing. The conference aims to bridge the gap between theoretical algorithms and real-world applications, fostering innovations that drive smart cities, intelligent robotics, industrial automation, and human-computer interaction.

Keynote speakers

Prof. Antonio Liotta
Free University of Bozen-Bolzano, Italy
Antonio Liotta is currently a Full Professor at the Faculty of Engineering of the Free University of Bozen-Bolzano, Italy, where he leads the Data-Driven AI Group as Chairperson and serves as Director of the Ph.D. School in Computer Science . His research focuses on artificial intelligence theories and applications, with particular emphasis on artificial vision, e-health, intelligent networks, and smart sensing . He has led an international team that recently made a breakthrough in artificial neural networks, initiating a new research strand at the intersection of machine learning and network science . With over 350 publications to his credit, he is a Senior Member of IEEE and serves as Co-Editor-in-Chief of the Internet of Things (Springer) book series.
Prof. Jinfeng Liu
University of Alberta, Canada
Dr. Jinfeng Liu is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta. He received his PhD in Chemical Engineering from the University of California, Los Angeles (UCLA), and both his MSc and BSc from Zhejiang University. Dr. Liu's research interests lie in process systems and control engineering, optimal control and machine learning, with a current focus on developing innovative modeling, estimation and control methods to tackle pressing challenges in closed-loop smart agricultural irrigation for water sustainability. Dr. Liu has published 4 books, over 250 journal and conference papers, and edited several special issues. He currently serves as editor-in-chief for the IChemE journal Digital Chemical Engineering, and as an associate editor for IFAC Journal of Process Control, Control Engineering Practice, and Mathematics.

Getting there

Hangzhou, Zhejiang, China. Open in Google Maps