Control Science and Engineering & Electronic Information
Control Science and Engineering (Academic Master's)
Electronic Information (Professional Master's)
Degree Programs Overview
The Academy of Artificial Intelligence was established in July 2020. Emphasizing the enhancement of original innovation capabilities, the Academy aims to advance AI in terms of its development direction, theories, methods, tools, and systems. The Academy has signed a strategic cooperation agreement with the Computer Network Information Center of the Chinese Academy of Sciences to establish the Chinese Academy of Sciences Computer Network Information Center–Beijing Institute of Petrochemical Technology Artificial Intelligence Joint Laboratory. This collaboration facilitates the sharing of AI, big data, and high-performance computing resources, deepens information exchange and academic cooperation, and jointly develops leading AI disciplines while cultivating outstanding graduate students in the field. Additionally, a scientific research and education cooperation agreement with Ajou University in South Korea has led to the establishment of the China–South Korea International Joint Research Center for Artificial Intelligence. This center conducts joint research on next-generation technologies and collaborates on doctoral training in AI, computer science and technology, and control science and engineering.
Faculty
The Academy of Artificial Intelligence currently has 18 faculty members, all holding doctoral degrees, including 4 professors, 7 associate/assistant professors, and 7 lecturers. More than half of the faculty graduated from prestigious institutions such as Peking University, Tsinghua University, the Chinese Academy of Sciences, and renowned overseas universities. Among them, there are 4 doctoral supervisors and 9 master's supervisors. The institute has appointed 34 distinguished scholars from home and abroad as adjunct professors to guide its scientific research.
Main Research Directions:
1. Computer Vision (Academic Master's + Professional Master's)
This research direction is dedicated to pioneering work in digital image processing and computer vision. In recent years, team members have participated in multiple national and Beijing municipal research projects. Studies have been conducted in areas such as "Image Retrieval Based on Deep Learning," as well as applications of computer vision technology in the petrochemical field, including "Computer Vision-Assisted Research for Oil and Gas Pipeline Inspection" and "Safety Monitoring Systems Based on Object Detection." In the field of medical image analysis, team members have established collaborations with institutions such as the National Cancer Center/Cancer Hospital of the Chinese Academy of Medical Sciences, Anzhen Hospital, Xiyuan Hospital, and the Beijing Colorectal Society to jointly explore research opportunities.
The distinctive research areas of this direction include: image and video processing and analysis, adaptive motion vector field estimation based on deep learning, algorithmic research on machine learning in computer vision, deep learning-based image retrieval, medical image analysis, object detection and recognition, content-based multimedia information retrieval, video quality assessment and post-processing, among others.
Intelligent Robotics (Academic Master's)
This research direction focuses on the system development and applied research related to intelligent robotics. In recent years, team members have published over 10 academic papers in top-tier international journals and conferences with the highest-impact single paper garnering significant recognition. The team has also been granted multiple national patents. Additionally, the team has established a strong collaborative partnership with the Beijing Film Academy, engaging in the development of intelligent algorithms, stability-oriented structural design, and upper-level control systems, while actively driving the implementation and advancement of industrial applications.
The distinctive research areas of this direction include: autonomous navigation and environmental modeling for mobile robots, theory and algorithms for high-throughput crop phenotype information acquisition, flexible manipulation control and skill learning for robotic arms, crop fruit recognition and localization, real-time stepless speed control in the trajectory replication process of cinematography robots, inverse kinematic position-level algorithms for dual-redundancy cinematography robots, and mechanism design for adaptive mobile platforms and adaptive rotary platforms, among others.
Intelligent Systems (Professional Master's)
This research direction is dedicated to the integration and deep convergence of optical technology, advanced manufacturing technology, control technology, and artificial intelligence. Team members possess substantial theoretical and technical expertise in areas such as medical equipment, biomedical instrumentation, laser micro-nano manufacturing, remote monitoring and intelligent diagnostics, and intelligent equipment for pharmaceutical engineering. In recent years, they have collectively published over 100 academic papers. Building on this foundation, the team has successfully developed a range of collaborative and innovative interdisciplinary research instruments and application systems.
The distinctive research areas of this direction include: biomedical equipment and instruments, automated pharmaceutical process equipment and instruments, femtosecond laser ultrafast instrumentation, laser micro-nano manufacturing, intelligent detection and diagnostic systems, laser precision measurement and control instruments, intelligent detection and control equipment for pharmaceutical processes, auxiliary diagnosis of cardiovascular diseases, auxiliary diagnosis and treatment of ophthalmic diseases, intelligent medical equipment, prevention and rehabilitation management of sudden cardiac death (SCD) based on mobile health big data, and screening, diagnosis, and rehabilitation of chronic obstructive pulmonary disease (COPD), among others.