2007-2009      上海交通大学      博士后

2003-2006      上海交通大学      博士
1996-2003       南京理工大学      本科、硕士

2011-至今        上海交通大学机械与动力工程学院制冷与低温工程研究所  副教授  博导
2014-2015        美国国家标准与技术研究院   客席研究员
2010.6-2010.12   香港理工大学屋宇设备工程系  访问学者
2009-2010        上海交通大学机械与动力工程学院制冷与低温工程研究所  讲师

能源系统人工智能
能源领域大模型
能源大数据分析
制冷空调最优化控制与节能
制冷空调、热管理系统故障预测与健康管理
能源数据科学

中国制冷学会人工智能应用工作委员会委员

上海市制冷学会理事、副秘书长、学术委员会副主任；
国际期刊《Scientific Reports》 (Springer Nature)、《 International Journal of AI for Materials and Design》编委

1）基金：
2023-2026 国家自然科学基金 “基于“征兆-劣化-失能”追踪和知识引导AI预测的空调系统全景式诊断研究”负责人
2019-2022 国家自然科学基金 “基于双向特性的空调系统电气与热力耦合故障研究”负责人
2014-2017 国家自然科学基金  “基于征兆探测的空调系统故障预示及其运行可靠度研究”负责人
2011-2013 国家自然科学基金  “空调系统多故障诊断及其容错效率研究” 负责人
2021-2024 科技部重点研发 “高密度城市中建筑综合能源系统智能管理技术研发”交大负责人
2019-2020 教育部 “基于Niagara的智慧建筑物联网实践平台”负责人
2017-2019 上海市浦江人才计划 “建筑空调系统故障诊断与节能”负责人
2023-2025 青岛市科技局 “中央空调系统智慧节能技术研究与应用示范”课题负责人
2014-2016 国际合作-美国商务部  “Faults evaluation and diagnosis for the building and its heat pump air conditioning systems” 交大负责人
2011-2013 国际合作—日本大金  “Development of Simulation Technology of VRV and Ventilation Combining System”  负责人
2007-2009 中国博士后科学基金 “基于模型-信号的建筑空调系统多故障容错技术研究” 负责人
2010-2012 密西根大学-SJTU联合研究基金  “Large panel integrated light transmitting and solar energy harvesting facade systems for net zero energy efficient buildings” 负责人
2009-2011 上海交通大学医工交叉研究基金 “CO2加热加湿系统的开发在腹腔镜胃癌手术中的应用” 负责人

2）工业界课题：
2025-2026 美国开利 “空调系统领域大模型及其智能体技术”负责人

2025-2026 安正 “暖通空调预测性维护技术”负责人

2025-2026 美的 “空调系统故障诊断”负责人

2023-2025 华为 “储能热管理系统故障预测智能控制技术”负责人
2023-2024 国家电投集团 “光伏-储能综合能源系统发电预测与负荷控制”负责人
2022-2023 万国数据 “数据中心暖通空调AI优化控制及其能效治理”负责人
2021-2023 海尔 “物联中央空调智慧减碳控制技术研发”负责人
2021-2022 万国数据 “数据中心能源故障预测多中心泛化应用”负责人
2020-2021 万国数据 “数据中心能源故障预测及其智能运维”负责人
2021-2023 雪链物联网 “冷库能源系统故障预测及其智能管理软件开发”负责人
2019-2020 上海叠腾科技 “楼宇空调系统大数据智能管理平台开发”负责人
2017-2019 美国开利  “800RT螺杆压缩机性能试验系统”负责人
2017-2018 华为研发中心  “数据中心空调系统故障检测与诊断研究” 负责人
2016-2017 华为研发中心  “制冷系统自动诊断研究” 负责人
2014-2016 上海市质量技术监督局、质量监督检验技术研究院  “风机盘管性能试验系统研制”  负责人

1.       Chen S., Liang X., Zhang Z., Zheng F., Jin X., Du Z*. A general energy-aware framework with multi-modal information and multi-task coordination for smart management towards net-zero emissions in energy system (2025) Renewable and Sustainable Energy Reviews, 212, art. no. 115387

2.       Chen S., Liang X., Liu, Ying; Li, Xilin; Jin, Xinqiao, Du Z*. Customized large-scale model for human-AI collaborative operation and maintenance management of building energy systems, Applied Energy, 2025, DOI: 10.1016/j.apenergy.2025.126169

3.       Liang X., Liu, Ying; Chen S., Li, Xilin; Jin, Xinqiao, Du Z*. Physics-informed neural network for chiller plant optimal control with structure-type and trend-type prior knowledge, Applied Energy, 2025, DOI: 10.1016/j.apenergy.2025.125857

4.       Xinbin Liang, Wei Ge, Zheming Zhang, Fei Zheng, Xinqiao Jin, Zhimin Du*, Two-stage optimal scheduling for flexibility and resilience tradeoff of PV-battery building via smart grid communication, Sustainable Cities and Society, 2024,(116): 105919

5.       Zhu, Xu. Chen, Siliang. Liang, Xinbin, Jin, Xinqiao. Du, Zhimin*, Next-generation generalist energy artificial intelligence for navigating smart energy, Cell Reports Physical Science, 2024, Volume 5, Issue 9, 102192

6.       Liang, X., Zhang, Z., Zheng, F., Jin, X., Du, Z.*, Awareness-guided incremental control optimization for chilled water system with deep learning model under cold-start scenarios, Building and Environment, 2024, 266, 112092

7.       Chen, S., Ge, W., Liang, X., Jin, X., Du, Z.*, Lifelong learning with deep conditional generative replay for dynamic and adaptive modeling towards net zero emissions target in building energy system, Applied Energy, 2024, 353, 122189

8.       Liang, X., Zhu, X., Chen, S., Xiao, F., Du, Z.*, Physics-constrained cooperative learning-based reference models for smart management of chillers considering extrapolation scenarios, Applied Energy, 2023, 349, 121642

9.       Chen K., Chen, S., Zhu, X., Jin, X., Du, Z.*, Interpretable mechanism mining enhanced deep learning for fault diagnosis of heating, ventilation and air conditioning systems, Building and Environment, 2023, 237(6), 110328

10.   Liang, X., Chen, S., Zhu X., Jin, X., Du, Z.*, Domain knowledge decomposition of building energy consumption and a hybrid data-driven model for 24-h ahead predictions, Applied Energy, 2023, 344(8), 121244

11.   Liang, X., Chen K., Chen, S., Zhu X., Jin, X., Du, Z.*, IoT-based intelligent energy management system for optimal planning of HVAC devices in net-zero emissions PV-battery building considering demand compliance, Energy Conversion and Management, 2023, 292(9), 117369

12.   Du, Z.*, Liang, X., Chen, S., Li, P., Zhu, X., Chen K., Jin, X., Domain adaptation deep learning and its T-S diagnosis networks for the cross-control and cross-condition scenarios in data center HVAC systems, Energy, 2023, 280(10), 128084

13.   Liang, X., Zhu X., Chen, S., Jin, X., Xiao F., Du, Z.*, Physics-constrained cooperative learning-based reference models for smart management of chillers considering extrapolation scenarios, Applied Energy, 2023, 349(11), 121642

14.   Du, Z.*, Chen, S., Li, P., Zhu, X., Jin, X., Knowledge-extracted deep learning diagnosis and its cloud-based management for multiple faults of chiller, Building and Environment, 2023, 235, 110228

15.   Du, Z.*, Chen, K., Chen, S., Zhu, X., Jin, X., Deep learning GAN-based data generation and fault diagnosis in the data center HVAC system, Energy and Buildings, 2023, 289, 113072

16.   Zhimin Du*, Siliang Chen, Burkay Anduv, Xu Zhu, Xinqiao Jin, IoT intelligent agent based cloud management system by integrating machine learning algorithm for HVAC systems, International Journal of Refrigeration, 2023, 146, 158-173

17.   Liang, X., Liu, Z., Wang, J., Jin, X., Du, Z.*, Uncertainty quantification-based robust deep learning for building energy systems considering distribution shift problem, Applied Energy, 2023, 337, 120889

18.   Li P., Anduv B., Zhu X., Jin X., Du Z.*, Diagnosis for the refrigerant undercharge fault of chiller using deep belief network enhanced extreme learning machine, (2023) Sustainable Energy Technologies and Assessments, 55, 102977

19.   Zhimin Du*, Xinbin Liang, Siliang Chen, Xu Zhu, Kang Chen, Xinqiao Jin, Knowledge-infused deep learning diagnosis model with self-assessment for smart management in HVAC systems, Energy, Volume 263, Part D, 2023, 125969, ISSN 0360-5442

20.   Xinbin Liang, Xu Zhu, Kang Chen, Siliang Chen, Xinqiao Jin, Zhimin Du*, Endowing data-driven models with rejection ability: Out-of-distribution detection and confidence estimation for black-box models of building energy systems, Energy,2022,125858

21.   Chen, S., Zhu, X., Chen, K., Liu, Z., Li, P., Liang, X., Jin, X., Du, Z.*, Applying deep learning-based regional feature recognition from macro-scale image to assist energy saving and emission reduction in industrial energy systems, Journal of Advanced Research,2023, 46, 189-197

22.   Chen, S., Chen, K., Zhu, X., Jin, X., Du, Z.*, Deep learning-based image recognition method for on-demand defrosting control to save energy in commercial energy systems(2022) Applied Energy, 324, 119702

23.   Li, P., Anduv, B., Zhu, X., Jin, X., Du, Z.*, Across working conditions fault diagnosis for chillers based on IoT intelligent agent with deep learning model,(2022) Energy and Buildings, 268, 112188

24.   Pengcheng Li, Zhurong Liu, Burkay Anduv, Xu Zhu, Xinqiao Jin, Zhimin Du*, Diagnosis for multiple faults of chiller using ELM-KNN model enhanced by multi-label learning and specific feature combinations[J], Building and Environment, Volume 214,2022,108904 

25.   Liang, X., Li, P., Chen, S., Jin, X., Du, Z.*, Partial domain adaption based prediction calibration methodology for fault detection and diagnosis of chillers under variable operational condition scenarios (2022) Building and Environment, 217, 109099

26.   Chen, K., Zhu, X., Anduv, B., Jin, X., Du, Z.*, Digital twins model and its updating method for heating, ventilation and air conditioning system using broad learning system algorithm,(2022) Energy, 251, 124040

27.   Xu Zhu, Kang Chen, Burkay Anduv, Xinqiao Jin, Zhimin Du. Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency [J]. Building and Environment, 2021, 200: 107957.

28.   Zhang S, Zhu X, Anduv B, et al. Fault detection and diagnosis for the screw chillers using multi-region XGBoost model[J]. Science and Technology for the Built Environment, 2021, 27(5): 608-623.

29.   Zhu, X., Shi, T., Jin, X., Du, Z., Multi-sensor information fusion based control for VAV systems using thermal comfort constraints, Building Simulation, 2021, 14(4), 1047–1062

30.   Zhu X, Zhang S, Jin X, et al. Deep learning based reference model for operational risk evaluation of screw chillers for energy efficiency[J]. Energy, 2020, 213: 118833.

31.   Chen Z, Zhu X, Jin X, et al. Machine learning enhanced inverse modeling method for variable speed air conditioning systems[J]. International Journal of Refrigeration, 2020, 118: 311-324.

32.   Du Z, Jin X, Zhu Y, et al. Development and application of hardware-in-the-loop simulation for the HVAC systems[J]. Science and Technology for the Built Environment, 2019, 25(10): 1482-1493.

33.   Zhu X, Du Z, Jin X, et al. Fault diagnosis based operation risk evaluation for air conditioning systems in data centers[J]. Building and Environment, 2019, 163: 106319.

34.   Zhu X, Du Z, Chen Z, et al. Hybrid model based refrigerant charge fault estimation for the data centre air conditioning system[J]. International Journal of Refrigeration, 2019, 106: 392-406.

1.  杜志敏，晋欣桥，基于VAV空调新风优化分配的控制，已授权，授权公告号：100552573
2. 杜志敏，晋欣桥，一种用于热泵的气液制冷剂混合器，发明专利公开，公开号：CN101561203
3. 杜志敏，晋欣桥，杨学斌，模块化抽屉式高效污水换热器，发明专利公开
4. 晋欣桥, 杜志敏 基于室内相对湿度控制的送风温度优化控制器 已授权，专利号：ZL2004 1 0017181.5
5. 晋欣桥, 杜志敏 中央空调水系统温度及流量传感器的在线故障诊断系统 已授权，专利号：ZL2004 1 0017182.X
6. 晋欣桥, 杜志敏 基于空调水侧传感器在线故障诊断的机组启停优化控制器已授权，专利号：ZL2004 1 0017180.0