Program Overview

The development of computer technologies, especially information technology promotes larger-scale of applications popping up in the manufacturing field, furtherly pushes the new wave of intelligent manufacture the core of industrial revolution over the world. The development of intelligent systems and intelligent manufacturing has been listed as the main direction of promoting a combination of the information technology and the manufacturing technology as new emerging generation.

Combining computer science and technology, automation, machinery, and other disciplines, a second-level discipline of "Intelligent Systems and Intelligent Manufacturing" is established in Shenzhen University under the first-level doctoral degree authorization point of the "Computer Science and Technology". The newly constructed "Intelligent Systems and Intelligent Manufacturing" focuses on deep collaboration amongst unmanned systems, intelligent control, industrial internet, computer vision, big data analysis and processing with advanced manufacturing technology, also with a conclusion of control theory and autonomous systems, intelligent testing and intelligent equipment, industrial internet and intelligent manufacturing. Compared with existing similar disciplines such as "pattern recognition and intelligent systems", More emphasis is placed on the deep integration of control science with engineering, computers, and advanced manufacturing, and promoting the transformation and upgrading of the manufacturing industry through the application of emerging technologies in computer fields such as blockchain, Internet of Things, artificial intelligence, and metaverse.

Core Courses

Mathematical theory on information science, numerical functionals, matrix analysis, intelligent control and autonomous systems, computational theory of vision and algorithms, machine learning and pattern recognition, complex networks and group intelligence, knowledge engineering

Career Prospects

The objective is to cultivate research-oriented and high-level professional talents with comprehensive moral, intellectual, and physical development that meet the needs of national and local development. Talents from this subject should master solid specialized knowledge in control science and theory, manufacturing science and theory, computer software and theory, and be familiar with the progress, trends, and frontiers of intelligent systems and intelligent manufacturing disciplines; Having independent innovation ability, practical ability, and entrepreneurial spirit, possessing the ability to independently engage in scientific research, university teaching, or undertake specialized technical work. Also mastering English, proficient in reading foreign language materials of this major, possessing the ability to write papers and engage in international academic communication language skills; Proficient in using computers and the ability to apply network information technology.

Consultation

Email:   huangchzh@szu.edu.cn

英文名

Cui Yukang

联系邮箱

cuiyukang@szu.edu.cn

中文简介

崔玉康，博士、副教授，博士生导师。深圳市海外高层次人才，南山区领航人才，深圳大学荔园优青。长期从事多机器人路径规划与编队，多机器人协同定位与建图，集群系统弹性控制与博弈，以及非线性时滞系统分析与综合方向研究，主持国家自然科学基金、广东省自然科学基金和教育厅项目等课题。以第一作者或通讯作者发表SCI论文30余篇，其中Automatica和IEEE汇刊20篇；授权国际专利1项、国内发明专利4项；获得2019年中国自动化学会自然科学二等奖。担任Journal of Engineering, Franklin Open等多个国际期刊编委。

英文简介

Dr. Cui Yukang is Associate Professor of Shenzhen University, Shenzhen High-level Talent, Outstanding Young Teacher of Shenzhen University. Dr. Cui has long been engaged in multi-robot path planning and formation, multi-robot cooperative localization and mapping, resilience control and game theory of swarm systems, as well as the analysis and synthesis of nonlinear time-delay systems. He has hold fundings from the National Natural Science Foundation of China, National Natural Science Foundation of Guangdong Province. He has published over 30 SCI-indexed papers, 20 of which are reputable journal papers such as Automatica and IEEE Transactions; he holds one international patent and four national invention patents. Dr. Cui was awarded the second prize in Natural Science by the Chinese Association of Automation in 2019. He serves on the editorial board of several international journals including the Journal of Engineering and Franklin Open.

英文名

Xiaoshan Bai

联系邮箱

baixiaoshan@szu.edu.cn

中文简介

白小山，荷兰格罗宁根大学博士，代尔夫特理工大学博士后，现任深圳大学机电与控制工程学院自动化系特聘研究员，深圳大学自主无人系统与智能操作（西工大）联合实验室副主任。主要研究方向为多机器人/无人系统协同决策与控制：包括多机器人/无人车辆在复杂环境下的任务分配、路径规划和运动规划，智能仓储，决策控制，运筹学，智能优化算法，启发式算法等。担任 IEEE Transactions on Automatic Control 、IEEE Transactions on Industrial Electronics、IEEE Transactions on Robotics等多个著名 SCI 期刊的评审专家。作为项目负责人主持国家自然科学基金面上项目、青年项目各一项，并主持教育部中国高校产学研创新基金一项。在 IEEE Transactions on Cybernetics，IEEE Transactions on Automation Science and Engineering和Information Sciences 等著名国际期刊会议上发表论文20余篇。

英文简介

Xiaoshan Bai received the Ph.D. degree from the University of Groningen, The Netherlands, in 2018, and  he was a Post-Doctoral Fellow with the Delft University of Technology, the Netherlands from November 2019 to July 2020. He is currently a Research Professor with the College of Mechatronics and Control Engineering, Shenzhen University, and is the deputy director of Shenzhen Joint Laboratory of Autonomous Unmanned Systems and Intelligent Operation. His main research interests include multi-vehicle/robot task assignment in complex environments, path/motion planning, logistic scheduling, decision making, operation research, intelligent algorithms  and heuristic algorithms. He is the reviewer of many famous journals, such as IEEE Transactions on Automatic Control 、IEEE Transactions on Industrial Electronics, and IEEE Transactions on Robotics. He has incharged several national projects includding two projects from the National Natural Science Foundation of China, and one from the Science and Technology Development Center, Ministry of Education. He has publishend more than twenty papers in flag journals, such as  IEEE Transactions on Cybernetics，IEEE Transactions on Automation Science and Engineering, and Information Sciences.

英文名

Wu Zongze

联系邮箱

zzwu@szu.edu.cn

中文简介

吴宗泽，深圳大学特聘教授、博士生导师，机电与控制工程学院院长，俄罗斯工程院外籍院士；国家新一代人工智能重大项目负责人（Grant No. 2020AAA0108300），中国自动化学会工业视觉专业委员会（筹）主任委员。

主要研究方向包括物联网、智能制造、新一代人工智能等。先后主持科研项目50余项，包括国家新一代人工智能重大专项，国家智能制造新模式重大专项、国家自然科学基金、国家电子发展基金、国家科技支撑计划子课题、国家973子课题等。

获得一系列重要奖项：中国专利银奖1项，教育部科技进步一等奖1项，二等奖2项；广东省科学技术一等奖4项等。

英文简介

Wu Zongze, Distinguished Professor, PhD Supervisor, is Dean of the College of Mechatronics and Control Engineering of Shenzhen University, and Foreign full member of the Russian Academy of Engineering, who is in charge of the National Key R&D Program of China for New Generation Artificial Intelligence(Grant No. 2020AAA0108300) and Chairman of the Industrial Vision Professional Committee (preparatory stage) of the Chinese Association of Automation.

Prof. Wu is mainly engaged in the research of the Internet of Things, intelligent manufacturing, and next-generation artificial intelligence. He has successively led over 50 scientific research projects, including the National Key R&D Program of China for New Generation Artificial Intelligence, the National Key R&D Program for New Models of Intelligent Manufacturing, programs of the National Natural Science Foundation of China, programs of the National Electronic Development Fund, programs of the National Science and Technology Support Plan, and sub projects of the National 973 Program.

He has won a number of important awards, such as Chinese Patent Silver Award, first-class Prize of the Ministry of Education’s Science and Technology Progress Award and second-class Prizes of the Ministry of Education’s Science and Technology Progress Award 2 times, and first-class prizes of Guangdong Province’s  Science and Technology Award 4 times.