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，深圳大学机电与控制工程学院副教授、博士生导师，IEEE Senior Member，香港大学荣誉副教授。主要从事低空无人系统与多智能体系统研究，重点包括多源异构感知与三维重建、多无人机任务分配与协同路径规划、通信受限及网络攻击条件下的韧性协同控制，以及低空具身智能与自主决策。主持国家自然科学基金面上、青年项目及多项省部级和产学研项目，并与中国航天科技集团相关单位开展无人机多源感知与协同规划成果转化。相关成果发表于Automatica及IEEE Transactions系列期刊，授权多项国家发明专利，现担任IEEE T-ICPS、IEEE T-IV等期刊Associate Editor。

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；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. 

英文名

Xiaopin ZHONG

联系邮箱

xzhong@szu.edu.cn

中文简介

钟小品，博士、特聘研究员、深圳大学机电与控制工程学院副院长、中国自动化学会工业视觉专委会副秘书长、深圳市智能化学会副会长；分别获得西安交通大学信息工程工学学士以及模式识别与智能系统工学硕士学位, 国家公派留学法国获里昂中央理工机电工程博士学位。研究方向为应用于低空技术领域的智能感知、具身智能、联邦学习与持续学习等，主持完成多项国家自然科学基金、国家重点研发、广东省自然科学基金以及深圳市科技计划等10余项各级纵向项目。课题组紧密对接产业需求，理论与工程结合，依托为学生提供顶尖科研平台与资源，培养面向低空场景的复合型人才。

英文简介

Zhong Xiaopin, Ph.D., Distinguished Researcher, Associate Dean of the College of Mechanical and Control Engineering at Shenzhen University, deputy secretary-general of the Industrial Vision Technical Committee of the Chinese Association of Automation, and vice president of the Shenzhen Intelligentization Academy; he received a bachelor of engineering in information engineering and a master of engineering in pattern recognition and intelligent systems from Xi’an Jiaotong University, and a Ph.D. in mechatronics engineering from École Centrale de Lyon in France, where he studied as a state-sponsored scholar. His research focuses on intelligent perception, embodied intelligence, federated learning, and continuous learning as applied to the low-altitude technology sector. He has led and completed over 10 funded research projects at various levels, including grants from the National Natural Science Foundation of China, the National Key Research and Development Program, the Guangdong Provincial Natural Science Foundation, and the Shenzhen Science and Technology Program. His research group closely aligns with industry needs, integrating theory with engineering, and provides students with a top-tier research platform and resources to cultivate interdisciplinary talent for low-altitude scenarios.

英文名

hungfei-Kuo

联系邮箱

hfkuo@szu.edu.cn

中文简介

郭鸿飞博士于美国佐治亚理工学院获得电机工程博士学位，现任半导体制造研究院院长及机电与控制工程学院特聘教授。他先后在台湾科技大学、中国台湾GCC及ASML等机构任职，兼具扎实的学术功底与顶尖的产业实战经验。其研究聚焦研究方向聚焦计算光刻、数字光刻、光刻图案量测、硅光子及半导体制造工艺，通过算法与模型优化光刻成像，补偿光学衍射误差，提升纳米尺度图形精度与良率，并延伸至硅光子集成与先进工艺优化。收博士专业为光机电工程与应用，方向为先进光学制造，紧密对接产业需求，理论与工程结合，依托计算光刻前沿布局，为学生提供顶尖科研平台与产业资源，培养面向高端芯片制造的复合型人才。

英文简介

Dr. Hongfei Guo obtained his Ph.D. in Electrical Engineering from Georgia Institute of Technology in the United States and currently serves as the Dean of the Semiconductor Manufacturing Research Institute and a Distinguished Professor at the School of Mechanical and Electrical Engineering and Control Engineering. He has held positions at institutions such as National Taiwan University of Science and Technology, Taiwan, China's GCC, and ASML, combining solid academic expertise with top-tier industrial experience. His research focuses on computational lithography, digital lithography, lithographic pattern measurement, silicon photonics, and semiconductor manufacturing processes. Through algorithms and models, he optimizes lithographic imaging, compensates for optical diffraction errors, enhances nanoscale pattern accuracy and yield, and extends his work to silicon photonics integration and advanced process optimization. His doctoral specialization is in Opto-Mechatronic Engineering and Applications, with a focus on advanced optical manufacturing. Closely aligned with industry demands, his workintegrates theory and engineering, leveraging cutting-edge computational lithography to provide students with top-tier research platforms and industrial resources, cultivating interdisciplinary talents for high-end chip manufacturing.

英文名

Tingru ZHANG

联系邮箱

zhangtr@szu.edu.cn

中文简介

主要从事智能交通（自动驾驶、低空飞行）中的人机交互研究，注重交通工程、人因工程与认知心理学的交叉融合，具有丰富的科研项目主持经验和国际学术影响力。主持国家及省部级等科研项目十余项，以第一或通讯作者发表论文60余篇，Google学术被引4500余次，连续多年入选全球前2%顶尖科学家榜单。曾获HCII最佳论文奖、国际工效学学会杰出青年学者奖等荣誉。现任Transportation Research Part F及International Journal of Industrial Ergonomics编委、核电安全技术与装备全国重点实验室客座研究员。

英文简介

My research focuses on human–machine interaction in intelligent transportation (automated driving and low-altitude aviation), integrating transportation engineering, human factors, and cognitive psychology. I have extensive experience in leading research projects and an internationally recognized research profile. I have led more than ten national, provincial, and ministerial research projects and published over 60 papers as first or corresponding author, with more than 4,500 citations on Google Scholar. I have been listed among the world’s top 2% of scientists for multiple consecutive years. My honors include the HCII Best Paper Award and an outstanding young scholar award from the International Ergonomics Association. I currently serve on the editorial boards of Transportation Research Part F and the International Journal of Industrial Ergonomics, and as a visiting researcher at the National Key Laboratory of Nuclear Power Safety Technology and Equipment.