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.

Enquiry

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

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.

英文名

Da Tao

联系邮箱

taoda@szu.edu.cn

中文简介

陶达，深圳大学人因工程研究所副所长，特聘研究员，博导，连续入选全球前2%顶尖科学家榜单，广东省杰青基金获得者，深圳市海外高层次人才，深圳大学荔园优秀青年。从事人因工程与人机交互方向研究，采用多模态生理与行为同步的人机交互测评技术，探索认知与人因失误机理，成果应用于医疗、核电和交通等复杂人机系统优化与安全保障。主持国家自然科学基金项目20余项，发表SCI/SSCI论文70余篇，其中ESI高被引论文4篇，引用超过5000次。多次获国内外学术会议优秀论文奖。担任核电安全国家重点实验室客座研究员，国家/广东省/深圳市自然科学基金评审专家，行业/团体标准评审专家及知名SCI期刊特刊主编和编委。

英文简介

 Da Tao is the Deputy Director of the Human Factors Engineering Research Institute at Shenzhen University, Distinguished Research Fellow, and Doctoral Supervisor. He has been consecutively listed among the world’s top 2% scientists, and is a recipient of the Guangdong Distinguished Young Scholar Fund, a Shenzhen High-Level Overseas Talent, and a Liyuan Outstanding Young Scholar of Shenzhen University. His research focuses on human–computer interaction (HCI), with expertise in multimodal physiological and behavioral synchronized assessment techniques to investigate mechanisms of HCI and human error. His work provides theoretical and methodological support for optimizing human–machine systems and preventing errors in fields such as healthcare, nuclear power, and transportation. He has led more than 20 projects, including the National Natural Science Foundation of China (Young Scholar and General Programs), has published over 70 SCI/SSCI papers (including 4 ESI Highly Cited Papers) with more than 5,000 citations. He has received multiple Best Paper Awards at domestic and international academic conferences. He also serves as a Visiting Researcher at the State Key Laboratory of Nuclear Power Safety, a peer reviewer for national, provincial (Guangdong), and municipal (Shenzhen) natural science foundations, an expert reviewer for industry and association standards, and a guest editor and editorial board member of several leading SCI journals.