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

聯系郵箱

cuiyukang@szu.edu.cn

中文簡介

崔玉康，博士、副教授，博士生導師。深圳市海外高層次人才，南山區領航人才，深圳大學荔園優青。長期從事多機器人路徑規劃與編隊，多機器人協同定位與建圖，集群系統彈性控制與博弈，以及非線性時滯系統分析與綜合方向研究，主持國家自然科學基金、廣東省自然科學基金和教育廳項目等課題。以第一作者或通訊作者發表SCI論文30余篇，其中Automatica和IEEE匯刊20篇；授權國際專利1項、國內發明專利4項；獲得2019年中國自動化學會自然科學二等獎。擔任Journal of Engineering, Franklin Open等多個國際期刊編委。

英文簡介

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

聯系郵箱

baixiaoshan@szu.edu.cn

中文簡介

白小山，荷蘭格羅寧根大學博士，代爾夫特理工大學博士后，現任深圳大學機電與控制工程學院自動化系特聘研究員，深圳大學自主無人系統與智能操作（西工大）聯合實驗室副主任。主要研究方向為多機器人/無人系統協同決策與控制：包括多機器人/無人車輛在復雜環境下的任務分配、路徑規劃和運動規劃，智能倉儲，決策控制，運籌學，智能優化算法，啟發式算法等。擔任 IEEE Transactions on Automatic Control 、IEEE Transactions on Industrial Electronics、IEEE Transactions on Robotics等多個著名 SCI 期刊的評審專家。作為項目負責人主持國家自然科學基金面上項目、青年項目各一項，并主持教育部中國高校產學研創新基金一項。在 IEEE Transactions on Cybernetics，IEEE Transactions on Automation Science and Engineering和Information Sciences 等著名國際期刊會議上發表論文20余篇。

英文簡介

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

聯系郵箱

zzwu@szu.edu.cn

中文簡介

吳宗澤，深圳大學特聘教授、博士生導師，機電與控制工程學院院長，俄羅斯工程院外籍院士；國家新一代人工智能重大項目負責人（Grant No. 2020AAA0108300），中國自動化學會工業視覺專業委員會（籌）主任委員。

主要研究方向包括物聯網、智能制造、新一代人工智能等。先后主持科研項目50余項，包括國家新一代人工智能重大專項，國家智能制造新模式重大專項、國家自然科學基金、國家電子發展基金、國家科技支撐計劃子課題、國家973子課題等。

獲得一系列重要獎項：中國專利銀獎1項，教育部科技進步一等獎1項，二等獎2項；廣東省科學技術一等獎4項等。

英文簡介

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.