The Successful Conclusion of BDCTA 2026
On February 7, 2026, 2026 2nd International Conference on Big Data, Communication Technology and Computer Applications (BDCTA 2026) successfully concluded online. The conference attracted leading experts and scholars who engaged in in-depth discussions on cutting-edge research and practical applications in the fields ofBig Data, Communication Technology and Computer Applications.
During the conference, Prof. Haijun Zhang from Harbin Institute of Technology, Shenzhen, China, delivered a keynote speech titled "Digital Intelligence and Embodied Intelligence for the Apparel and Textile Industry"
Prof. Jianbin Qiu from Harbin Institute of Technology, China, presented a keynote speech titled "Intelligent Perception and Autonomous Avoidance of Spacecraft Confronting Orbital Threats"
Additionally, Associate Professor Lei Chen from Shandong University, China, presented a talk on "Deep Neural Networks for Perceptual Image Quality Assessment"
The conference continued through an online platform, where six scholars from various universities delivered oral presentations covering several emerging topics. These online presentations provided participants with broader opportunities for exchange, further enriching the content of the conference.
Yulin Cai, Guilin University of Electronic Technology, China Speech Title: Research on a Decision Support Framework for Urban Road Maintenance Based on YOLOv8 and the RHI Scoring Model |
Keni Ye, Hubei University of Technology, China Speech Title: A Data-Driven Multi-Criteria Decision Support Framework for Food Packaging Visual Design Using AHP–QFD |
Tianqi Jiang, Zhejiang University of Technology, China Speech Title: Research on Hierarchical Multi-Aspect Weighted Interactive Model for AIGC |
Peng Wang, Jilin University, China Speech Title: Evaluating the Performance of XGBoost and Random Forest Models Based on In-Situ Soil Moisture Measurements |
Jingya Lin, Hubei University of Technology, China Speech Title: Research on the Characteristics of Digital Display Systems for Cultural Heritage Activation and User Behavior at the Xianling Mausoleum |
Yang Hongmei, Changji University, China Speech Title: A Comparative Analysis of Time Series Prediction of Fine Particulate Matter Concentration in Urumqi Based on Gradient Boosting and RBF Neural Network |
The conference also featured multiple panel discussions and paper presentations, where participants engaged in lively exchanges on current scientific challenges and the latest technological advancements. The successful organization of this conference further strengthened international academic interaction and promoted innovation in the fieldsof Big Data, Communication Technology and Computer Applications.
We thank all participants for their active involvement and contributions, and we look forward to continuing our collaboration and creativity in future gatherings.
