Editorial Team
Editor-in-Chief
Chengwei Feng
PhD Candidate, Auckland University of Technology, New Zealand
Chengwei Feng is a PhD candidate at Auckland University of Technology, specializing in artificial intelligence and human motion modelling. Her research integrates AI, sensor fusion, and time-series analytics to advance real-time motion recognition, health monitoring, and behavior modelling. She has authored five peer-reviewed publications and holds eleven invention patents in areas such as smart diagnostic systems, precursor chemical detection, IoT-enabled pharmaceutical management, and intelligent procurement signal tracking. Her work emphasizes practical, real-world applications and interdisciplinary collaboration with academic institutions and public security agencies.
Managing Editors
Luxin Zhang
PhD Candidate, School of Engineering, Computer and Mathematical Sciences
Auckland University of Technology, New Zealand
Luxin Zhang is currently pursuing her PhD in Artificial Intelligence. Her research focuses on machine learning algorithms and their applications in intelligent systems. As Managing Editor, she is responsible for manuscript assignment, editorial coordination, and issue scheduling. Based in New Zealand, she serves as a central figure in the journal's daily operations.
Yihan Zhao
PhD Candidate, University of Auckland, New Zealand
Yihan Zhao holds a Master’s degree from Peking University and is currently a PhD candidate at the University of Auckland. Her research explores the intersection of communication, culture, and technology, with a focus on how algorithms reshape cultural expression and the subjectivity of marginalized communities. She previously served as an Assistant Research Fellow at the Development Research Centre of the State Council in China, contributing to national research projects. She has curated and coordinated panels for the China Development Forum, facilitating high-level dialogue on AI, sustainability, and governance.
Shen (Jason) Zhan
Graduate Researcher, University of Melbourne, Australia
Jason Zhan holds an Honours degree in Civil and Environmental Engineering from the University of Auckland and is currently a PhD researcher in the Teaching & Learning Lab at the University of Melbourne. He combines industry and academic experience, with a background in structural engineering and teaching. His research focuses on employability assessment and curriculum design in engineering education, with growing interest in the role of AI in authentic assessment and personalized learning.
Section Editors / Academic Advisors
A/Prof. Xing Cai
Associate Professor, Southeast University, China
A/Prof. Cai focuses on smart highways and AI in transportation systems. She leads national research projects supported by the NSFC and the National Key R&D Program. Her SCI-indexed publications have earned awards such as the First Prize from the Jiangsu Society of Engineers.
Dr. Renda Han
School of Computer Science and Technology, Hainan University, Haikou, China
Dr. Han specializes in graph clustering and has published over 20 papers in CCF and SCI-indexed journals and conferences, including AAAI and ICML. He serves on the editorial boards of Scientific Research and Innovation and Deep Learning and Pattern Recognition, and regularly reviews for top-tier conferences.
Dr. Changchun Liu
Assistant Researcher and Postdoctoral Fellow
Nanjing University of Aeronautics and Astronautics (NUAA), China
Dr. Liu’s research focuses on industrial AI, smart manufacturing, human–robot collaboration, and predictive maintenance. He has authored over ten high-impact papers in journals such as RCIM and Computers & Industrial Engineering, with over 200 citations.
Dr. Meng Liu
Research Scientist, NVIDIA
Dr. Liu’s research interests include graph neural networks, clustering, and multimodal learning. He has published over 20 papers in leading venues such as Advanced Science, IEEE TPAMI, IEEE TKDE, CVPR, ICML, and ICLR. His work includes an ESI Hot Paper and a Highly Cited Paper, with over 1,000 citations. He has received several awards, including Best Paper at the 2024 China Computational Power Conference and a DAAD AInet Fellowship.
Dr. Zhongbin Luo
Professor-level Senior Engineer, China Merchants Chongqing Communications Research & Design Institute
Master’s Supervisor, Chongqing Jiaotong University & Shijiazhuang Tiedao University
Dr. Luo’s research focuses on intelligent transportation, traffic safety, and vehicle–road collaboration. He has led over ten national and provincial research projects, holds 11 invention patents, and serves as an expert reviewer for journals such as IEEE Access and PLOS ONE.
Dr. Ruichen Xu
Postdoctoral Fellow, Department of Civil & Environmental Engineering
University of Missouri, Columbia, USA
Dr. Xu's research interests include hydrological ecology, AI-based flood forecasting, and sediment–pollutant dynamics. He has led or contributed to more than ten projects in China and the U.S. and has published over 20 peer-reviewed papers. He holds patents in environmental monitoring and serves as a reviewer for journals like Journal of Hydrology and Ecological Indicators.
A/Prof. Jinghao Yang
Dr. Yang has taught in the U.S. and specializes in applying machine learning to intelligent manufacturing systems. His research bridges intelligent sensing, control, and adaptive design with industrial applications, contributing to smart production technologies and data-driven innovation.
Editorial Office
Location: Auckland, New Zealand
Contact Email: [chengwei@inno-press.com]
