Xujiwei

Associate Professor at the College of Information Science and Technology, Beijing University of Chemical Technology. Research interests include artificial intelligence, deep learning, distributed systems, software engineering, and cloud/edge computing. Received a Ph.D. in Computer Science from the Institute of Software, Chinese Academy of Sciences, and previously worked as a postdoctoral researcher at the School of Computer Science, University College Dublin, Ireland.

Actively involved in national and international research initiatives, including the National Key R&D Program of China, National Natural Science Foundation projects, EU Horizon collaborations, and industry-academia joint research. Led a sub-project under the National Key R&D Program focusing on scheduling label generation for RISC-V architectures and optimization of large model deployment in edge environments.

Publications appear in IEEE Transactions on Network and Service Management, Future Generation Computer Systems (FGCS), Journal of Systems and Software (JSS), COMPSAC, ICSA, among others. Served as a reviewer for several SCI-indexed journals and a program committee member for international conferences.

Currently teaches undergraduate and graduate-level courses including C Programming, Computer Fundamentals, Introduction to Distributed Systems, and Parallel Programming. Experienced in mentoring undergraduate theses and supervising student research projects.

Senior Member of the China Computer Federation (CCF), committed to the advancement of intelligent computing systems and their real-world applications in industrial and societal domains.

• Artificial Intelligence & Deep Learning
   Multimodal learning, edge intelligence, efficient large model deployment, behavior recognition, and data-driven modeling.

• Distributed Systems
   Container orchestration, microservice architecture, virtualization, system reliability and performance optimization.

• Software Engineering
   Software defect detection and repair, static and dynamic code analysis, Dockerfile analysis, CI/CD integration practices.

• Cloud and Edge Computing
   Resource scheduling and orchestration, container image distribution optimization, IaaS/PaaS platform design.

• Intelligent Perception & Applications
   Smart manufacturing, digital agriculture, anomaly detection for AI chips, heterogeneous data fusion and interpretation.