Track 1. Control Theory, Optimization, and Automation Control
Chair:
Assoc. Prof. Haibin Wang, Harbin University of Science and Technology, China 王海滨副教授（哈尔滨理工大学）
Co-Chair:
Assoc. Prof. Mingyang Li, Harbin University of Science and Technology, China 李鸣阳副教授（哈尔滨理工大学）
Co-Chair:
Dr. Peng Wang, Nanjing University of Aeronautics and Astronautics, China 王鹏副研究员（南京航空航天大学）
Co-Chair:
Dr. Xiaodong Shao, Harbin University of Science and Technology, China 邵小东研究员（北京航空航天大学）
As global
industries pivot toward a future defined by intelligence and
resilience, the convergence of Control Theory, Optimization,
and Automation has become the cornerstone of modern
engineering innovation. This track explores the critical
transition from traditional automated processes to dynamic
autonomous systems, emphasizing the integration of robust
mathematical frameworks with emerging computational
intelligence. By addressing complex challenges in networked
environments, real-time resource allocation, and
human-machine synergy, we aim to showcase transformative
research that drives efficiency and stability across
cyber-physical infrastructures.
Potential topics of interest include but are not limited to:
1. Control Theory and Methodology
● Robust and Adaptive Control
● Nonlinear Systems and Complexity
● Networked Control Systems (NCS)
● Model Predictive Control (MPC)
2. Optimization Algorithms
● Distributed and Large-scale Optimization
● Stochastic and Heuristic Optimization
● Convex and Non-convex Programming
● Multi-objective Optimization
3. Automation and Autonomous Systems
● Intelligent Robotics and Unmanned Systems
● Human-in-the-loop Automation
● Smart Manufacturing and Industrial IoT
● Autonomous Cyber-Physical Systems (CPS)
4. Emerging Frontiers
● Data-driven Control and Reinforcement Learning
● Quantum Control
● Green Automation
Submit:
http://www.easychair.org/conferences/?conf=irce2026
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Assoc. Prof. Haibin Wang, Harbin University of Science and Technology, China 王海滨副教授（哈尔滨理工大学）
Biography: Wang Haibin, associate professor,
is currently the Party Branch Secretary of the Department of
Robotics Engineering and a Master’s Supervisor in the School
of Automation. His research primarily focuses on the
theoretical aspects of prescribed performance control for
dynamic positioning vessels, intelligent unmanned surface
vessels cooperative control, and path planning. He has
published over 30 academic papers in authoritative core
journals such as Ocean Engineering, International Journal of
Control, IEEE Transactions on Circuits and Systems II:
Express Briefs, and Control Theory & Applications, including
13 SCI-indexed papers. He has also been granted 5 invention
patents, with one patent successfully transferred. He serves
as a member of the Youth Committee of the Chinese
Association of Automation and is a member of the Harbin
Inertial Technology Society.
个人简介:
王海滨，副教授，现为自动化学院机器人工程系党支部书记、硕士生导师。主要从事动力定位船预设性能控制、智能无人艇协同控制以及路径规划等理论的相关研究。已在
Ocean Engineering、International Journal of Control、IEEE
Transactions on Circuits and Systems II: Express
Briefs以及控制理论与应用等权威核心期刊上发表学术论文30余篇，其中SCI收录13篇，授权发明专利5项，实现专利转化1项。现担任自动化学会青年工作委员会委员、哈尔滨惯性学会会员。
Assoc. Prof. Mingyang Li, Harbin University of Science and Technology, China 李鸣阳副教授（哈尔滨理工大学）
Biography：Li Mingyang, associate professor
and Master's Supervisor, is a Visiting Scholar at Shanghai
Jiao Tong University. He serves as a Council Member of the
Smart Internet of Things and Control Subcommittee under the
IEEE Power & Energy Society (PES) Intelligent Grid and New
Technologies Committee (China), a Member of the Youth
Working Committee of the Chinese Association of Automation,
and a Member of the Swarm Intelligence and Cooperative
Control Technical Committee of the Chinese Institute of
Command and Control. His primary research focuses on
intelligent control technologies for marine vehicles, with
both theoretical investigations and applied scientific work.
He has published 14 SCI-indexed journal papers (including 8
as first or corresponding author, 4 of which are in JCR Q1
journals) and 5 EI-indexed papers. Additionally, he holds 6
authorized invention patents and 2 utility model patents.
个人简介：李鸣阳，副教授，硕士生导师，上海交通大学访问学者，IEEE
PES智能电网与新技术委员会(中国)智慧物联与控制分委会理事、中国自动化学会青年工作委员会委员、中国指挥与控制学会集群智能与协同控制专业委员会委员。主要从事海洋运载器智能控制技术的理论研究和相关科研工作，已发表SCI源期刊论文14篇(其中第一/通讯作者论文8篇，包括中科院一区SCITOP期刊论文4篇)，EI检索论文5篇。授权发明专利6项，实用新型专利2项。
Dr. Peng Wang, Nanjing University of Aeronautics and Astronautics, China 王鹏副研究员（南京航空航天大学）
Biography：Wang Peng, Ph.D. in Engineering,
is an Associate Research Fellow and Master’s Supervisor at
the College of Automation Engineering, Nanjing University of
Aeronautics and Astronautics. In 2025, he was selected for
the Young Talent Support Project of the Chinese Institute of
Command and Control (CICC). His research primarily focuses
on advanced aircraft swarm planning, cooperative guidance,
and safety control. He has presided over several research
projects, including the Young Scientists Fund C of the
National Natural Science Foundation of China (NSFC),
programs from the China Postdoctoral Science Foundation
(under both the Special Funding and the General Program),
and open projects from national key laboratories. As the
first or corresponding author, he has published more than 20
SCI papers in top-tier journals such as Automatica and IEEE
TAC, among other IEEE Transactions journals. He also holds
or has applied for over 10 patents.
个人简介：王鹏，工学博士，南京航空航天大学自动化学院副研究员、硕士生导师，2025年入选中国指挥与控制学会青年人才托举工程。主要从事先进飞行器集群规划、协同制导与安全控制研究；主持国家自然科学基金青年项目、中国博士后科学基金（特别资助及面上项目）、全国重点实验室开放课题等多项科研课题；以第一/通讯作者在Automatica、IEEE
Transactions on Automatic Control (IEEE
TAC)等IEEE汇刊发表SCI论文20余篇，获授权/申请专利10余项。
Dr. Xiaodong Shao, Harbin University of Science and Technology, China 邵小东研究员（北京航空航天大学）
Biography: Xiaodong Shao is a Professor at
the School of Automation Science and Electrical Engineering
and has been recognized as a National-level Young Talent. He
is a key member of Prof. Hu Qinglei's research team. His
research primarily focuses on fundamental theories and
applications in the fields of intelligent autonomous control
for aerospace unmanned systems, intelligent perception and
safe operation of non-cooperative targets, and cooperative
and game-theoretic control of multi-vehicle systems.
He has authored one English monograph and published over 40
SCI papers in prestigious journals in the field, including
Automatica, various IEEE Transactions (such as IEEE T-CST,
T-AES, T-MECH), and AIAA JGCD, among others. Three of his
papers have been listed as ESI Highly Cited Papers, and one
has been recognized as a Hot Paper. He holds or has filed
for more than 10 national invention patents.
Currently, he leads several research projects, including
those supported by the National Natural Science Foundation
of China (Young Scientists Fund B & C, General Program) and
a stable support project from the State Administration of
Science, Technology and Industry for National Defense
(SASTIND). He also serves as a core member and sub-project
leader in key national research initiatives, such as the
National Key Research and Development Program of the
Ministry of Science and Technology and Key Programs of the
National Natural Science Foundation of China.
个人简介：邵小东，自动化科学与电气工程学院研究员，国家级青年人才。主要从事空天无人系统智能自主控制、非合作目标智能感知与安全操控、飞行器集群协同与博弈对抗等方向的基础理论与应用研究；出版英文专著1部，在Automatica、IEEE汇刊
(包括IEEE T-CST、T-AES、T-MECH等)、AIAA
JGCD等领域内重要期刊上发表SCI论文40余篇，其中3篇入选ESI高被引论文；授权/受理国家发明专利10余项，主持国家自然科学基金
(青B、青C、面上)、科工局稳定支持项目等，作为核心骨干参与了科技部重点研发计划项目
(子课题负责人)、国家自然科学基金重点项目等多项。