جستجوی استاد راهنمای دانشگاهی

Wei Zhang is a tenured Professor at the Southern University of Science and Technology (SUSTech) , Shenzhen, China, and a Senior Member of IEEE. He serves as Associate Editor for IEEE Transactions on Control System Technology and leads the CLEAR Lab (Control & Learning for Robotics and Autonomy) within the School of Automation and Intelligent Manufacturing (AiM). His career spans institutions including the University of California, Berkeley (postdoc), and The Ohio State University (Assistant/Associate Professor). Education: PhD in Electrical Engineering from Purdue University (2009), MS in Electrical and Computer Engineering from University of Kentucky (2005), BS in Automation from University of Science and Technology of China (2003) Research Interests focus on integrating control theory, optimization, and machine learning to develop intelligent systems. Key areas include: Legged Robots: Dynamic locomotion control, bio-inspired gait design, and push recovery mechanisms Autonomous Systems: Real-time motion planning, obstacle avoidance, and safe navigation in adversarial environments Smart Grids: Distributed control for energy systems and transactive energy optimization Machine Learning: Reinforcement learning for robotics, Q-learning convergence analysis, and hybrid control-learning frameworks Publication Trends highlight interdisciplinary work at the intersection of robotics and control systems. His recent 2024 papers address: Whole-body control for wheeled-quadrupedal robots Geometric object pose refinement in computer vision Task-space Riccati feedback for underactuated systems Teacher-student reinforcement learning architectures Scientific Awards include: 2016 : NSF CAREER Award 2015 : Lumley Research Award (Ohio State University) 2013 : AFOSR Summer Faculty Fellowship 2018 : National Distinguished Expert (Young, China) 2019 : International Underwater Robot Competition 2nd Prize (team advisor) Academic Leadership involves editorial roles at IEEE Transactions on Control System Technology and IEEE Transactions on Power Systems. His lab provides state-of-the-art robotics platforms including quadruped robots, Kuka manipulators, and UAVs for algorithm validation. Research collaborators span The Ohio State University , UC Berkeley , CMU , and The University of Hong Kong .

• Control Theory
• Optimization Theory
• Machine Learning
• +۵ مورد دیگر

JIANG Xingyu is Chair Professor and Head of the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech) . Since 2018 he has led a multidisciplinary team developing advanced micro- and nano-scale tools for analytical chemistry, microfluidics and nanomedicine. Education Postdoctoral Research, Harvard University (2004–2005) Ph.D. in Chemistry, Harvard University (2004) B.S. in Chemistry, University of Chicago (1999) Research Interests Professor Jiang’s research integrates analytical chemistry , microfluidics , biomedical engineering and nanomedicine . His laboratory designs microfluidic chips for point-of-care diagnostics, engineers gold nanoclusters and nanoparticles for antimicrobial and anticancer therapy, and develops soft flexible bio-electronics for neural interfaces and wearable health monitoring. Across 400+ publications, recent work demonstrates a clear trend toward translational nanomedicine : point-of-care viral variant detection, nanoantibiotic strategies against multidrug-resistant bacteria, CRISPR delivery systems for cancer therapy, and conformal electronic tattoos for human-machine interfaces. Scientific Awards & Honours Fellow, American Institute for Medical and Biological Engineering (2020) Fellow, Royal Society of Chemistry (2016) Tencent Science Exploration Award (2019) Chief Scientist, National Key R&D Program (2019–) National Science Fund for Distinguished Young Scholars (2010) Young Investigator Award, Human Frontier Science Program (2007) Research Funding & Teams He currently directs the Nanoscience Laboratory at SUSTech, hosts National Key R&D Program projects as Chief Scientist, and serves on editorial boards of Advanced Healthcare Materials , Lab on a Chip , Nanoscale Horizons , Nanoscale and Nanoscale Advances . The group is actively recruiting post-docs, research professors and technicians across chemistry, materials, biology and medical engineering disciplines.

• Analytical Chemistry
• Microfluidics
• Biomedical Engineering
• +۲ مورد دیگر

Professor Yongbo Xiao serves at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. His academic journey includes a BEng in Management Information Systems (2000), Master/PhD in Management Science and Engineering (2006), and postdoctoral research in applied economics at Tsinghua University. 2000: BEng in Management Information Systems 2006: Master/PhD in Management Science and Engineering 2006-2008: Postdoctoral Fellow in Applied Economics His research spans revenue management, pricing strategies, operations/supply chain management, and service systems. Recent work explores live-streaming e-commerce dynamics, supply chain resilience, and platform co-opetition models. Articles appear in top journals including Operations Research , Production and Operations Management , and Naval Research Logistics . Notable awards include National Natural Science Foundation Outstanding Young Scholars Fund, Changjiang Scholar Young Scholars recognition, and multiple Tsinghua University teaching/research honors. He serves as Associate Editor-in-Chief for Naval Research Logistics and Executive Editor for Journal of Systems Science and Systems Engineering . 2024: China Aviation Association Second Prize 2023: Huawei Collaborative Innovation Award 2022-2024: Tsinghua EMBA/Executive Education Teaching Excellence Professor Xiao teaches undergraduate Operations Research, Master's-level Operations Research & Optimization, and MBA courses including Data Models & Decisions, Operations Management, and ESG Frontier Exploration. His work bridges theoretical operations research with practical applications in digital commerce and supply chain innovation.

• Revenue Management
• Pricing Management
• Operations Management
• +۵ مورد دیگر

Liu Hongmei is a Researcher and Master's Supervisor at Southern University of Science and Technology's Department of Biomedical Engineering. Holding a Ph.D. from the Chinese Academy of Sciences, she specializes in micro-nano robotics and tissue engineering for tumor therapy, with over 66 publications and 12 patents. Her work bridges biomedical engineering and nanotechnology for precision cancer treatments. B.S., Biological Sciences, Harbin Normal University (2005) M.S., Botany, Northeast Agricultural University (2008) Ph.D., Biochemical Engineering, Chinese Academy of Sciences (2015) Her research focuses on biomaterials engineering , nanoparticle drug delivery , and microenvironment-responsive hydrogels . Key areas include glioma therapy, traumatic brain injury recovery, and intervertebral disc degeneration treatments. Recent work explores pH/ROS/inflammation-triggered hydrogels and bioengineered bacteria for disease modulation. Article trends show a strong emphasis on nanoparticle design (2014-2025) for glioma, hydrogel development (2017-2025) for tissue repair, and biomimetic material synthesis (2023-2025) inspired by spider silk and meniscus structures. Sub-fields span pyroptosis inhibition, epigenetic reprogramming, and microbiome engineering. Jiangsu Science and Technology Award (2020) Jiangsu Medical Science and Technology Award (2020) Jiangsu Educational Science Research Award (2021) Chinese Medical Doctor Association's Outstanding Young Scientist (2018) Liu has supervised numerous projects including National Natural Science Foundation of China grants, Jiangsu Province Key R&D Program funding, and Shenzhen City General Projects. She holds 12 Chinese invention patents and collaborates with institutions like the UNESCO Centre for Higher Education Innovation.

• Biomedical Engineering
• Nanotechnology
• Tumor Therapy
• +۴ مورد دیگر

Kun An is a Professor at the Department of Traffic Information and Control Engineering within the College of Transportation Engineering at Tongji University. She has previously held academic positions at Monash University (Senior Lecturer, 2018–2019; Lecturer, 2016–2018) and conducted postdoctoral research at the University of Illinois at Urbana-Champaign (2015–2016) and The Hong Kong University of Science and Technology (2014–2015). Her academic journey includes a PhD in Civil Engineering from HKUST (2014) and a Bachelor's degree from Tongji University (2009). PhD: Civil Engineering, The Hong Kong University of Science and Technology (2014) Bachelor's: Transportation Engineering, Tongji University (2009) Dr. An specializes in intelligent transportation systems, focusing on optimizing complex traffic networks, characterizing traveler behavior in stochastic environments, and advancing electric vehicle sharing infrastructure. Her research spans urban transit planning, carsharing logistics, battery electric bus deployment, and real-time traffic signal optimization, with applications to mitigate rail disruptions and enhance multimodal connectivity. Her publications emphasize solving transport challenges through stochastic programming, game theory, and behavioral analysis. Key themes include autonomous vehicle integration, demand uncertainty modeling, and sustainable mobility solutions. Awards include the Hong Kong PhD Fellowship and multiple best paper recognitions. Hong Kong PhD Fellowship (2010–2014) TRBADB30 Best Paper Nomination (2014) Best Paper at 18th Hong Kong Transportation Annual Meeting (Second Author, 2013)

• Intelligent Transportation Systems
• Traffic Network Optimization
• Stochastic Demand Modeling
• +۳ مورد دیگر

Prof. Huayu Tian is a Nan Qiang Distinguished Professor at the Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University. With a Ph.D. in Polymer Chemistry and Physics from Changchun Institute of Applied Chemistry (CAS), he leads research in biomedical polymers and nanocarriers for gene/drug delivery. B.S. (1994-1998): Polymer Materials, Harbin Institute of Technology M.S. (1998-2000): Materials Science, Harbin Institute of Technology Ph.D. (2002-2005): Polymer Chemistry, Changchun Institute His work focuses on biomedical polymers , nanocarriers for gene therapy , nucleic acid vaccines , and immunotherapy , with applications in cancer treatment and sepsis management . Recent publications highlight photothermal-immunotherapy combinations , MOF-based drug systems , and microenvironment-responsive nanomaterials . Notable awards include: Jilin Province Natural Science Award (First Prize, 2021) National Outstanding Youth Fund (China) Youth Innovation Promotion Association, CAS (2016)

• Biomedical polymers
• Nano-gene/drug carriers
• Biotherapy
• +۳ مورد دیگر

Fang Kong is an Assistant Professor in the Department of Statistics and Data Science at the Southern University of Science and Technology (SUSTech). He earned his PhD in Computer Science from Shanghai Jiao Tong University under the supervision of Prof. Shuai Li and received his Bachelor's degree in Software Engineering from Shandong University. Education: PhD in Computer Science, Shanghai Jiao Tong University (2020-2024) Bachelor's Degree in Software Engineering, Shandong University (2016-2020) Dr. Kong is broadly interested in developing theoretically guaranteed algorithms for sequential decision-making problems, with particular focus on multi-armed bandits and reinforcement learning, as well as their applications in online experimentation and recommendation systems. His research spans theoretical foundations of bandit algorithms, matching markets, influence maximization, and online learning under various feedback structures. He has made significant contributions to the understanding of best-of-both-worlds algorithms that perform well in both stochastic and adversarial environments. His publication record shows a strong trajectory of high-impact work in top-tier conferences including NeurIPS, ICML, ICLR, AAAI, WWW, and AAMAS. His research demonstrates expertise in theoretical machine learning with a focus on bandit algorithms, particularly in matching markets and sequential decision-making problems. His work often bridges theoretical guarantees with practical applications in recommendation systems and online experimentation. Scientific Awards: CCF Doctoral Dissertation Award in Agent and Multi-Agent Systems (2025) Baidu Scholarship (2024) National Scholarship for PhD students (2023, 2022) AAMAS Student Scholarship (2023) Microsoft Research Asia Excellence Award (2022) Dr. Kong actively mentors students at various levels, including PhD and Master's students at SUSTech, visiting students from other institutions, and undergraduate researchers. He serves as a reviewer for top machine learning conferences (ICLR, NeurIPS, ICML, WWW) and journals (IEEE PAMI, TMLR). His teaching includes graduate Machine Learning and undergraduate Artificial Intelligence courses at SUSTech.

• Online Learning
• Reinforcement Learning
• Machine Learning
• +۴ مورد دیگر

Dr. Lili Wang serves as an Associate Professor at Southern University of Science and Technology (SUSTech), joining in May 2024 as an independent Principal Investigator and PhD advisor. Her research focuses on theoretical and applied control systems for intelligent sensor networks through interdisciplinary integration of control theory, optimization, and machine learning. Her academic foundation includes: PhD in Engineering and Applied Science from Yale University (2014-2020) Master's in Control Theory and Control Engineering from Zhejiang University (2011-2014) Bachelor's in Automation from Zhejiang University (2007-2011) Dr. Wang's research spans social dynamics , distributed estimation , distributed control , formation control for multi-agent systems , and distributed learning applications . Her work develops novel algorithms for networked control systems with applications in intelligent sensor networks and multi-robot coordination, emphasizing theoretical rigor and practical implementation. Analysis of her publications reveals consistent advancement in distributed observer design, formation control strategies, and consensus algorithms. Key trends include innovative applications of graph theory and spectral methods to multi-agent systems, with growing integration of learning techniques for adaptive control in uncertain environments. Her distinguished recognition includes: IEEE Senior Member (2024) Lillian Gilbreth Fellowships at Purdue University (2023) CPS Rising Star Award (2023) Henry Prentiss Becton Graduate Prize (2019) Zhang Siying Outstanding Paper Award (2012) As a PhD advisor at SUSTech, Dr. Wang mentors graduate researchers in control theory and its applications. She is currently founding COL-LABORATORY, a dedicated research team advancing control systems for intelligent sensor networks through interdisciplinary collaboration, with ongoing projects in distributed learning frameworks and robust multi-agent coordination.

• Social dynamics
• distributed estimation and calculation
• distributed control
• +۲ مورد دیگر

Zhuoren Jiang is a tenure-track Assistant Professor and Doctoral Supervisor at the Department of Information Resources Management, School of Public Affairs, Zhejiang University. He holds a Ph.D. and serves as a key faculty member in the department, with his office located in Room 612-2 of the School of Public Affairs building at Zhejiang University's main campus in Hangzhou. Dr. Jiang's research spans multiple interdisciplinary domains, with primary focus on Information Science & Library Science, Computational Social Science, Policy Simulation, and Artificial Intelligence Algorithms and Applications. His work bridges social science, data science, and computer science, creating innovative approaches to understanding complex social phenomena through computational methods. He has developed expertise in graph representation learning, large language models, and their applications in scientific impact prediction, legal reasoning, and policy analysis. His publication record reveals a strong trajectory in high-impact venues, with recent work focusing on multimodal business analysis, legal judgment prediction, policy style measurement, and scientific peer review systems. His research demonstrates an increasing emphasis on integrating large language models with graph-based approaches to solve complex interdisciplinary problems, particularly in the domains of legal informatics and scientific communication. Zhejiang University Teaching Excellence Award, 2024 Best Short Paper Awards Nominee, SIGIR Conference, 2024 Alibaba Research Fellowship, 2019 & 2020 Boya Postdoctoral Fellowship, Peking University, 2016 Best Poster Award, JCDL, 2013 Dr. Jiang actively mentors students and seeks highly self-motivated PhD and master's candidates interested in interdisciplinary research. He has served as principal investigator or sub-project lead for multiple research projects including National Key R&D Program, Major Projects of the National Social Science Foundation of China, and Projects of the National Natural Science Foundation of China. His academic service includes editorial board membership for Frontiers in Big Data and peer reviewing for numerous top journals including Information Processing & Management and Journal of the Association for Information Science and Technology. He maintains active collaborations with industry, having previously served as a consultant (visiting professor) at Alibaba DAMO Academy and currently as a collaborating expert at Tongyi Lab. His professional memberships include ACM (Association for Computing Machinery), ACM SIGIR, ACL (Association for Computational Linguistics), and ASIS&T (Association for Information Science and Technology).

• Information Science & Library Science
• Computational Social Science
• Policy Simulation
• +۳ مورد دیگر

Dr. Zicheng Su is a Distinguished Researcher at Tongji University's College of Transportation Engineering, specializing in intelligent transportation systems. He joined the university in July 2023 and maintains affiliations with the Department of Traffic Information and Control Engineering and the MAGIC research group. His work bridges transportation engineering and artificial intelligence to solve urban mobility challenges. Dr. Su's educational background includes: Ph.D. in Advanced Design and Systems Engineering from City University of Hong Kong (2018-2022) under Prof. Andy H.F. Chow Bachelor's degree in Transportation Engineering from Sun Yat-sen University (2014-2018) under Prof. Renxin Zhong His research centers on traffic flow modeling and adaptive control systems using reinforcement learning. Key contributions include hierarchical control frameworks for stochastic traffic networks, multi-intersection management solutions, and bus service reliability optimization through connected vehicle technology. His work integrates model-based and data-driven approaches to address real-world urban mobility problems. Analysis of Dr. Su's publications (2017-2023) reveals consistent focus on reinforcement learning applications in traffic control, with increasing emphasis on decentralized solutions and multi-agent systems. His work spans transportation journals (Transportation Research Parts B/C) and top AI conferences (AAAI), demonstrating interdisciplinary impact in both transportation engineering and machine learning domains. Dr. Su's scientific recognition includes: HKSTS Outstanding Student Paper Award (1st place, 2021) Outstanding Academic Performance Award, City University of Hong Kong (2021) Best Student Presentation Award at Zhejiang University Workshop (2020) Multiple scholarships including HKRGC Postgraduate Studentship (2018-2022) As part of the MAGIC research group at Tongji University, Dr. Su contributes to projects on traffic design, cooperative vehicle infrastructure, and smart urban mobility systems. The group has developed the MAGIC Dataset and practical demo systems for intelligent driving assistance and traffic management applications.

• Traffic flow modeling
• Network traffic signal control
• Optimal control and reinforcement learning
• +۲ مورد دیگر

Guo Xunhua is a Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management. He serves as Party Branch Secretary and holds significant leadership roles including Executive Director and Secretary-General of the China National Association for Information Technology (CNAIS), Vice President of the China Society of Information Economics, and Secretary-General of the Information Management Committee of the China Management Modernization Research Association. His educational background includes dual bachelor's degrees in Management Information Systems and Computer Science and Technology from Tsinghua University (2000), followed by master's and doctoral degrees in Management Science and Engineering from the same institution (2005). He has been teaching at Tsinghua since 2005 and maintains international academic connections through visiting positions at RWTH Aachen University and MIT Sloan School of Management. Guo's research spans Management Information Systems, E-commerce, Social Networks, and Business Intelligence, with a focus on business intelligence methods in internet environments and behavioral patterns under emerging information technologies. His work integrates both 'technology' and 'behavior' perspectives within information systems research. His recent publications reveal a strong trend toward AI applications in e-commerce, personalized recommendation systems, social commerce dynamics, and the psychological aspects of digital interactions. Ministry of Education Changjiang Scholar Young Scholar (2019) Ministry of Education Outstanding Achievement Award for Scientific Research in Humanities and Social Sciences Beijing Philosophical and Social Sciences Outstanding Achievement Award Beijing Higher Education Teaching Achievement Award Multiple Tsinghua University Teaching Achievement Awards Professor Guo serves as Assistant Editor-in-Chief of the Journal of Information Systems and sits on editorial boards for international journals including Information Technology & People, Electronic Commerce Research, and Journal of Global Information Management. His teaching portfolio includes graduate courses in IT and Organization, and undergraduate courses in Principles of Computer Systems, Management Information Systems, and Introduction to Management Science and Engineering Research.

• Management Information Systems
• E-commerce
• Social Networks
• +۴ مورد دیگر

Xuyang Wu serves as Associate Professor at the School of Automation and Intelligent Manufacturing (AiM), Southern University of Science and Technology (SUSTech) in Shenzhen, China. He was promoted from Assistant Professor in June 2025 after joining SUSTech in February 2024, following postdoctoral research at KTH Royal Institute of Technology (2020-2023) and a visiting position at The Chinese University of Hong Kong (2023-2024). His educational background includes: Ph.D. in Communication and Information Systems, University of Chinese Academy of Sciences (2015-2020) B.S. in Applied Mathematics, Northwestern Polytechnical University (2011-2015) Wu's research centers on distributed and large-scale optimization with applications in machine learning and networked systems. His work develops asynchronous algorithms that handle communication delays and coupling constraints, bridging control theory with modern machine learning. Key contributions include barrier function methods for safe resource allocation and delay-agnostic coordinate updates, emphasizing convergence guarantees in decentralized settings. Analysis of his 15 most recent publications (2021-2025) reveals consistent focus on asynchronous distributed optimization across top venues including IEEE Transactions on Automatic Control and ICML. His work demonstrates increasing sophistication in handling non-convex objectives and time-varying networks while maintaining theoretical convergence guarantees, with recent expansion into high-performance decentralized training frameworks. Scientific recognition includes: Best Student Paper Finalist at IEEE International Conference on Control & Automation (2019) While specific advised students and grant details aren't documented in available sources, Wu's publication record indicates active collaboration with researchers at KTH Royal Institute of Technology and The Chinese University of Hong Kong. His work shows clear progression from theoretical foundations toward practical distributed learning applications. Current research focuses on enabling violation-free optimization under constraints and developing communication-efficient decentralized training frameworks for real-world deployment scenarios.

• Distributed Optimization
• Large-scale Optimization
• Machine Learning
• +۳ مورد دیگر

Chen Jian is the Lenovo Chair Professor at the School of Economics and Management, Tsinghua University , and Director of the Ministry of Education Key Research Base for Humanities and Social Sciences . With a career spanning over 30 years at Tsinghua, he has held multiple leadership roles in academic societies, including Vice Presidency in four top-tier Chinese academic societies and editorial positions in over ten international journals. Research Focus: Systems engineering, supply chain optimization, and decision theory Courses Taught: Dynamic systems analysis and control, operations management His scientific contributions include over 200 publications and 50 major projects, with significant impact in operations management, supply chain coordination, and emerging business models. He has trained numerous doctoral students and received prestigious accolades like the National Science Fund for Distinguished Young Scholars and IEEE Fellow status.

• Systems engineering
• Enterprise operations management
• Supply chain coordination and optimization
• +۲ مورد دیگر

Hu Chengzhi is a tenured Associate Professor at the Department of Mechanical and Energy Engineering , Southern University of Science and Technology (SUSTech), where he has worked since 2018. He leads the SUSTech-Zifu Medical Joint Laboratory (5 million RMB funding) and serves as Deputy Director of the Guangdong Provincial Key Laboratory of Human Augmentation and Rehabilitation Robots . A National Young Talent Program recipient and Shenzhen Peacock Plan B-category Talent , he earned his PhD in Micro-Nano Systems Engineering from Nagoya University (2014) under Professor Toshio Fukuda (Chinese Academy of Sciences foreign member) and conducted postdoctoral work at ETH Zurich with Professor Bradley Nelson. Education B.S. & M.S. in Mechanical Engineering, Huazhong University of Science and Technology (2008, 2010) Ph.D. in Micro-Nano Systems Engineering, Nagoya University (2014) Research Interests focus on micro-nano robotic technologies for single-cell analysis and tumor-targeted therapy , including magnetic manipulation, microfluidic chips, and swimming microrobots. His work also extends to medical microrobotics for diagnosing and treating gastrointestinal diseases. Over the past five years, he has led 14 competitive projects, including the National Key R&D Program and National Natural Science Foundation of China grants. Scientific Awards include the 2024 MINE Young Scientist Award , Best Paper Awards at IEEE MHS 2012, IEEE ICRA 2015, IEEE CBS 2023, and IEEE ICMA 2024. He has published 65 papers in top journals like Nature Communications , Advanced Science , and ACS Nano , and holds over 30 patents. Leadership and Service : Served as General Chair for IEEE ICMA 2025 (500+ participants), Director of SUSTech-Zifu Medical Joint Laboratory , and editorial board member of Cyborg and Bionic Systems . He mentors PhD and Master's students and actively recruits researchers for his lab.

• Micro-Nano Robotics
• Single-Cell Analysis
• Tumor-Targeted Therapy
• +۴ مورد دیگر

Zhiyun Lin is Dean and Tenured Professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech). He holds affiliations as Foreign Academician of the Russian Academy of Engineering, Fellow of IEEE, IET, and AAIA. Previously, he served at Zhejiang University (2007-2017) and Hangzhou Dianzi University (2017-2021), with visiting positions at Yale University, ANU, and University of Tokyo. Education: PhD in Electrical and Computer Engineering, University of Toronto (2005) MSc in Control Theory, Zhejiang University (2001) BSc in Industrial Automation, Yanshan University (1998) Research Focus: Develops theoretical frameworks for multi-agent coordination, distributed AI algorithms, and cyber-physical systems. His work enables robust autonomous swarm behaviors in robotics and sensor networks through novel control strategies and optimization techniques. Publications: 230+ papers predominantly in IEEE Transactions journals demonstrate sustained contributions to formation control, distributed localization, and networked systems. Recent works (2021) advance resilient beamforming and finite-time stabilization for robotic formations. Awards: Natural Science Second Prize, Zhejiang Province (2020, 2013) Science and Technology Innovation First Prize (2020) Industry-University-Research Cooperation Innovation Award (2021) Prestigious fellowships: IEEE/IET/AAIA Leadership: Directs SUSTech's School of Automation and Intelligent Manufacturing. Formerly established the Artificial Intelligence Institute at Hangzhou Dianzi University and led research centers at Zhejiang University. Serves as Associate Editor for IEEE Systems Journal and IEEE Control Systems Letters.

• Multi-agent systems
• Distributed artificial intelligence
• Autonomous unmanned systems
• +۳ مورد دیگر