2003-2006 350vip8888新葡的京集团 博士
1996-2003 南京理工大学 本科、硕士

2011-至今 350vip8888新葡的京集团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 350vip8888新葡的京集团制冷与低温工程研究所 讲师
2007-2009 350vip8888新葡的京集团 师资博士后

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

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《International Journal of AI for Materials and Design》编委；
国际期刊《Energy》、《Energy and Buildings》、《Building and Environment》、《Applied Energy》、《HVAC&R Research》、《Energy Conversion and Management》、《Automation in Construction》审稿人。

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 350vip8888新葡的京集团医工交叉研究基金 “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）企业课题：
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. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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.
12. 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.
13. 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.
14. Zhu X, Shi T, Jin X, et al. Multi-sensor information fusion based control for VAV systems using thermal comfort constraints[J]. Building Simulation, 2020: 1-16.
15. 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.
16. 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.
17. 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.
18. 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.
19. Du Z, Chen L, Jin X. Data-driven based reliability evaluation for measurements of sensors in a vapor compression system[J]. Energy, 2017, 122: 237-248.
20. Zhimin Du, Xinqiao Jin, Xing Fang, Bo Fan. A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems [J]. Applied Energy, 2016, 183:700-714.
21. Zhimin Du, Piotr A. Domanski, W.Vance Payne. Effect of common faults on the performance of different types of vapor compression systems [J]. Applied Thermal Engineering, 2016, 98: 61-72.
22. Zhimin Du, Xinqiao Jin, Bo Fan. Evaluation of operation and control in HVAC (heating, ventilation and air conditioning) system using exergy analysis method [J]. Energy, 2015, 89: 372-381.
23. Zhimin Du, Peifan Xu, Xinqiao Jin, Qiaoling Liu. Temperature sensor placement optimization for VAV control using CFD–BES co-simulation strategy [J]. Building and Environment, 2015, 85: 104-113.

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