职称/职务：副教授，博士生导师
泰山学者青年专家、山东省海外优秀青年基金获得者
电子信箱：cuican_ouc@126.com
研究方向:
[1] 工业人工智能、深度强化学习；
[2] 智能控制与优化决策；
[3] 综合能量管理、多能流耦合系统；
[4] 暖通空调系统设计、优化、智能运维；
授课：
本科生课程：《自动化仪表与过程控制》、《机器学习》、《电工学》
研究生课程：《先进控制理论与应用》、《研究生学术论文写作》
研究生招生：
招收本专业及跨专业（海工、信息、能动、数学等）具有较好数理、编程基础的硕/博研究生。
本科生科研：
欢迎本校学有余力的优秀本科生提前加入课题组开展科研工作，探索感兴趣的研究课题。
主要学术成果：
发表SCI期刊论文26篇 (均为Top期刊，1作/通讯16篇)；发表国际会议论文13篇；出版Springer-Nature英文专著1本 (3 Chapters)；
部分代表作：
[1] Liu Y, Song Y, Cui C*. Towards smart control and energy efficiency for multi-zone ventilation systems via an imitation-interaction learning method in energy-aware buildings[J]. Energy, 2025, 314: 134220. 影响因子：9；中科院一区
[2] Cui C*, Liu Y. A hierarchical HVAC optimal control method for reducing energy consumption and improving indoor air quality incorporating soft Actor-Critic and hybrid search optimization[J]. Energy Conversion and Management, 2024, 302: 118118. 影响因子：9.9；中科院一区
[3] Cui C*, Xue J. Energy and comfort aware operation of multi-zone HVAC system through preference-inspired deep reinforcement learning[J]. Energy, 2024, 292: 130505. 影响因子：9；中科院一区
[4] Li C, Cui C*, Li M. A proactive 2-stage indoor CO2-based demand-controlled ventilation method considering control performance and energy efficiency[J]. Applied Energy, 2023, 329: 120288. 影响因子：10.1；中科院一区
[5] Cui C*, Li C, Li M. An Online Reinforcement Learning Method for Multi-zone Ventilation Control With Pre-Training[J]. IEEE Transactions on Industrial Electronics, 2022, 70(7): 7163-7172. 影响因子：7.5；中科院一区
专利：
第一发明人授权中国发明专利16项
部分授权专利：
[1] ZL202311640639.1 一种海洋平台动力定位控制方法
[2] ZL202311286903.6 船舶或海洋平台用预制式舱室通风系统通风控制方法
[3] ZL202210124691.0 基于温度和硫化氢浓度控制的海洋平台通风系统控制方法
[4] ZL202310986399.4 一种基于奇异值阈值算法的海洋平台舱室舒适度评估方法
[5] ZL202111580810.5 离线预训练-在线学习的通风系统风量控制方法
项目：
主持国家自然科学基金项目 1 项，省部级项目 3 项，其他项目 3 项；
Name: Can Cui
Title: Associate Professor, Supervisor (PhD, MEng)
Taishan Scholars, Shandong Provincial Distinguished Young Scholars (Overseas)
E-mail: cuican_ouc@126.com;
Research interests:
[1] Industrial artificial intelligence; Deep reinforcement learning;
[2] Intelligent control and optimization decision-making;
[3] Energy management;
[4] HVAC system modeling, design and O&M;
Course:
Undergraduate courses: Process Automation and Instrumentation; Electrotechnics; Machine Learning
Graduate courses: Advanced control: Theory and Applications
Major academic achievements:
Published one book (Springer Nature, 3 chapters), and more than 26 Top SCI papers.
Representative publications are as follows:
[1] Liu Y, Song Y, Cui C*. Towards smart control and energy efficiency for multi-zone ventilation systems via an imitation-interaction learning method in energy-aware buildings[J]. Energy, 2025, 314: 134220.
[2] Cui C*, Liu Y. A hierarchical HVAC optimal control method for reducing energy consumption and improving indoor air quality incorporating soft Actor-Critic and hybrid search optimization[J]. Energy Conversion and Management, 2024, 302: 118118.
[3] Li C, Cui C*, Li M. A proactive 2-stage indoor CO2-based demand-controlled ventilation method considering control performance and energy efficiency[J]. Applied Energy, 2023, 329: 120288.
[4] Cui C*, Liu Z, Li M. A two-phase online air balancing method for multi-zone ventilation systems based on distributed finite-time control[J]. Building and Environment, 2023: 110030.
[5] Cui C*, Li C, Li M. An Online Reinforcement Learning Method for Multi-zone Ventilation Control With Pre-Training[J]. IEEE Transactions on Industrial Electronics, 2022, 70(7): 7163-7172.
