PROGRAM OVERVIEW

Program Overview

The program recruits doctoral students from around the world. Aligned with the development of the Guangdong–Hong Kong–Macao Greater Bay Area and with Shenzhen's strategy of building a leading electronic information industry cluster, it is committed to cultivating high-caliber, application-oriented talents who are well-rounded in character, professional competence and personal development, who possess a global outlook, and who are capable of cross-cultural communication. International students can draw on their multilingual and cross-cultural strengths to advance academic exchange and industrial cooperation between China and the rest of the world.

Program Features

The program upholds the "deep integration of industry, academia, research and application." Leveraging Shenzhen's industrial strengths, it adopts a supervisor-team system and internationalized training, strengthens engineering ethics, academic integrity, teamwork and innovative practice, and encourages participation in international cooperation and major engineering projects.

Program Highlights

The program is offered by the College of Artificial Intelligence in the field of Artificial Intelligence, with a specialization in Perceptual Systems and Theoretical Applications. It focuses on the foundational theories of artificial intelligence, intelligent perception and systems, and interdisciplinary intelligent applications, covering frontier areas such as machine learning, computer vision, intelligent robotics and multimodal perception, and serving intelligent manufacturing, smart cities and the digital economy. Graduates are able to independently solve complex engineering problems, compete on a global stage, and contribute to technological standards and international alignment.

CORE COURSES

《Deep Learning》;《 Large Language Model》;《Embodied Intelligence》;《AI Agent》；《Intelligent Robotics》；《Research Methods and Thesis Writing》；《Machine Learning》

CAREER PROSPECTS

High-Tech Companies; Universities and Other Research Institutions

ENQUIRY

Email:   mingyinY@szu.edu.cn                

英文名

Jianqiang Li

联系邮箱

lijq@szu.edu.cn

中文简介

李坚强，博士，讲席教授，博士生导师，国家杰出青年科学基金获得者，IEEE/IET Fellow，大数据系统计算技术国家工程实验室执行主任，深圳大学人工智能学院院长，国家重点研发计划项目首席科学家，国家级青年人才，广东省大数据分析工程技术研究中心主任，广东省杰出青年基金获得者，广东省人工智能教学团队负责人。2003年和2008年于华南理工大学获工学学士和博士学位，2008年8月入职深圳大学。长期从事人工智能、机器人、物联网、移动医疗研究，主持国家杰出青年基金、国家级青年人才、国家自然科学基金重大仪器及重点项目、广东省杰出青年基金等省部级项目，在Science Advances、IEEE汇刊等发表论文200余篇。获吴文俊人工智能科技进步一等奖（第一完成人）、中国自动化学会科技进步一等奖（第一完成人）、广东省科技进步二等奖（第一完成人）、深圳市自然科学二等奖（第一完成人），连续5年入选斯坦福大学全球Top 2%顶尖科学家榜单，任IEEE汇刊等7个学术期刊编委。

已发表的部分论文：可点击网址查看：https://ai.szu.edu.cn/info/1102/2290.htm

英文简介

Jianqiang Li, PhD, is a Chair Professor and Doctoral Supervisor at Shenzhen University, where he is Dean of the School of Artificial Intelligence. He is a recipient of the National Science Fund for Distinguished Young Scholars, an IEEE/IET Fellow, and a National Young Talent. He also serves as Executive Director of the National Engineering Laboratory for Big Data System Computing Technology and Chief Scientist of a National Key R&D Program project. He received his Bachelor of Engineering (2003) and PhD in Engineering (2008) from South China University of Technology, joining Shenzhen University in 2008. His research covers artificial intelligence, robotics, the Internet of Things, and mobile health. He has led major NSFC and provincial projects and published over 200 papers, including in Science Advances and IEEE Transactions.

His honors include First Prize of the Wu Wenjun Artificial Intelligence Science and Technology Progress Award and First Prize of the Chinese Association of Automation Science and Technology Progress Award, both as first contributor. He has been listed among Stanford University's Global Top 2% Scientists for five consecutive years and serves on seven journal editorial boards, including IEEE Transactions.

Selected publications: https://ai.szu.edu.cn/info/1102/2290.htm

英文名

Chengwen Luo

联系邮箱

chengwen@szu.edu.cn

中文简介

罗成文，新加坡国立大学博士，深圳大学人工智能学院特聘教授，现任校科学技术发展研究院副院长、人工智能学院院长助理、大数据系统计算技术国家工程实验室工业大数据研究中心主任。兼任 CCF 物联网专委会、互联网专委会委员，中国自动化学会、中国人工智能学会相关专委会委员，广东省青年科技创新研究会副理事长兼人工智能分会会长、深圳市电脑学会秘书长，担任 ACM Computing Survey 等期刊编委。主要研究智能感知与人机协同，在 TMC、TON、NeurIPS、INFOCOM 等顶刊顶会发表论文 100 余篇。主持国家自然科学基金优秀青年基金、区域联合基金重点、面上、青年项目及国家重点研发计划 “智能机器人” 专项课题。

英文简介

Chengwen Luo received his Ph.D. from the National University of Singapore. He is a Distinguished Professor at the School of Artificial Intelligence, Shenzhen University. He currently serves as ViceDirector of the Institute of Science and Technology Development, Assistant Dean of the School of Artificial Intelligence, and Director of the Industrial BigData Research Center, National Engineering Laboratory for BigData System Computing Technologies.He is a member of CCF Technical Committees on Internet of Things and Internet, member of relevant technical committees under the Chinese Association of Automation and Chinese Association for Artificial Intelligence, ViceChairman of Guangdong Young Science and Technology Innovation Research Association and President of its Artificial Intelligence Branch, and SecretaryGeneral of Shenzhen Computer Society. He also works as an Associate Editor for international top journals including ACM Computing Survey.His research focuses on intelligent perception and humanmachine collaboration. He has published over 100 papers in top journals and conferences such as TMC, TON, NeurIPS and INFOCOM. As principal investigator, he has presided over NSFC Excellent Young Scientists Fund, Key Project of Regional Joint Fund, General and Youth Projects of NSFC, as well as research tasks under the National Key R&D Program for “Intelligent Robots”.

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，Vebleo Fellow，现任深圳大学大数据系统计算技术国家工程实验室特聘研究员/长聘副教授、深圳市自主无人系统与智能操作（深大-西工大）联合实验室副主任，深圳市海外高层次人才。主要研究方向为多机器人/无人系统协同决策与控制，包括多机器人在复杂环境下的任务分配（Task Assignment）和路径规划（Path Planning）方法研究。作为项目负责人主持1项国家自然科学基金面上项目、1项国家自然科学基金青年项目、2项教育部中国高校产学研创新基金、1项广东省自然科学基金面上项目、以及1项深圳市高等院校稳定支持计划项目等项目。以第一作者/通讯作者在机器人、自动化领域国际知名权威期刊IEEE Transactions on Robotics、IEEE Transactions on Transportation Electrification、IEEE Transactions on Systems, Man and Cybernetics: System、IEEE Transactions on Automation Science and Engineering、Engineering Applications of Artificial Intelligence、Ocean Engineering 和 IEEE Robotics and Automation Letters等知名期刊上发表代表性SCI论文60余篇，其中知名IEEE Transactions汇刊论文20篇，中科院大类1区SCI论文28篇，TOP期刊论文38篇，9篇ESI高被引论文 (2篇ESI热点高被引论文) 。荣获2025年广东省科技进步一等奖（排名前五）、2024年度国际电气与电子工程协会自动化科学与工程汇刊唯一最佳论文奖 (IEEE Transactions on Automation Science and Engineering Best Paper Award) 等奖项。担任国家自然科学基金、深圳市科创委同行评议专家；中国自动化学会机器人智能专业委员会委员、中国指挥与控制学会集群智能与协同控制专委会委员、中国仿真学会智能无人系统建模与仿真专业委员会委员；IEEE Transactions on Consumer Electronics (IF=9.9) 副主编。

英文简介

Xiaoshan Bai received his Ph.D. from the University of Groningen, the Netherlands, and subsequently worked as a postdoctoral researcher at Delft University of Technology. He is a Vebleo Fellow and currently serves as a Distinguished Research Professor at the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University. He is also Deputy Director of the Joint Laboratory for Autonomous Unmanned Systems and Intelligent Manipulation (Shenzhen University–Northwestern Polytechnical University) and a Shenzhen Overseas High-Caliber Talent. His research focuses primarily on cooperative decision-making and control for multi-robot and autonomous unmanned systems, with particular emphasis on task assignment and path planning for multi-robot systems operating in complex environments. As Principal Investigator, he has led and secured funding for one National Natural Science Foundation of China (NSFC) General Program project, one NSFC Young Scientists Fund project, two Ministry of Education–Industry–University Collaborative Innovation Fund projects, one Guangdong Provincial Natural Science Foundation General Program project, and one Shenzhen Higher Education Stability Support Program project, among others. As first/corresponding author, he has published more than 60 representative SCI-indexed papers in internationally flagship journals in robotics and automation, including IEEE Transactions on Robotics, IEEE Transactions on Transportation Electrification, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Automation Science and Engineering, Engineering Applications of Artificial Intelligence, Ocean Engineering, and IEEE Robotics and Automation Letters. His publications include 20 papers in prestigious IEEE Transactions journals, 28 SCI papers ranked in the Chinese Academy of Sciences (CAS) Category 1 journals, and 38 papers published in top-tier journals. His work has also resulted in 9 ESI Highly Cited Papers, including 2 ESI Hot Papers. He received the First Prize of the 2025 Guangdong Provincial Science and Technology Progress Award (ranked among the top five contributors) and the 2024 IEEE Transactions on Automation Science and Engineering Best Paper Award, the sole Best Paper Award presented by the journal in 2024. He serves as a peer reviewer for the National Natural Science Foundation of China (NSFC) and the Shenzhen Science and Technology Innovation Commission. He is also a member of the Robotics Intelligence Professional Committee of the Chinese Association of Automation, the Cluster Intelligence and Cooperative Control Professional Committee of the Chinese Command and Control Society, and the Intelligent Unmanned Systems Modeling and Simulation Professional Committee of the Chinese Society for Simulation. He currently serves as an Associate Editor of IEEE Transactions on Consumer Electronics (IF = 9.9).

英文名

Jackie Ji

联系邮箱

jijunkai@szu.edu.cn

中文简介

吉君恺，系深圳大学人工智能学院副教授、特聘研究员。2018年博士毕业于日本富山大学，目前已在人工智能领域发表高水平论文100余篇，现任IEEE TAI战略委员会委员、IEEE TCDS及ESWA编委。主要研究方向为人工智能驱动的药物研发，涵盖抗体、小分子、多肽及RNA/DNA适配体等药物类型，重点开展分子对接、分子生成、逆合成规划及药物设计智能体研发等研究。课题组长期致力于开发先进的人工智能技术，加速药物研发进程，并降低研发成本。课题组主页：https://szuaddg.com。

英文简介

Junkai Ji is an Associate Professor and Distinguished Research Fellow at the School of Artificial Intelligence, Shenzhen University. He received his Ph.D. from the University of Toyama, Japan, in 2018. He has published over 100 high-quality research papers in artificial intelligence. He currently serves on the Strategic Committee of IEEE TAI and the editorial boards of IEEE TCDS and ESWA.

His research focuses on AI-driven drug discovery, covering antibodies, small molecules, peptides, and RNA/DNA aptamer therapeutics. His key research areas include molecular docking, molecular generation, retrosynthetic planning, and the development of AI agents for drug design. His research group is committed to developing advanced artificial intelligence techniques to accelerate drug discovery and development and reduce costs. Research group website: https://szuaddg.com.