2003-2006 上海交通大學(xué) 博士
1996-2003 南京理工大學(xué) 本科、碩士

2011-至今 上海交通大學(xué)機械與動力工程學(xué)院制冷與低溫工程研究所 副教授 博導(dǎo)
2014-2015 美國國家標準與技術(shù)研究院 客席研究員
2010.6-2010.12 香港理工大學(xué)屋宇設(shè)備工程系 訪問學(xué)者
2009-2010 上海交通大學(xué)機械與動力工程學(xué)院制冷與低溫工程研究所 講師
2007-2009 上海交通大學(xué)機械與動力工程學(xué)院 師資博士后

建筑能源系統(tǒng)人工智能
建筑能源領(lǐng)域大模型
建筑能源大數(shù)據(jù)分析
制冷空調(diào)最優(yōu)化控制與節(jié)能
制冷空調(diào)故障預(yù)測與健康管理
數(shù)據(jù)科學(xué)

上海市制冷學(xué)會理事、副秘書長、學(xué)術(shù)委員會副主任；
國際期刊《International Journal of AI for Materials and Design》編委；
國際期刊《Energy》、《Energy and Buildings》、《Building and Environment》、《Applied Energy》、《HVAC&R Research》、《Energy Conversion and Management》、《Automation in Construction》審稿人。

1）基金：
2023-2026 國家自然科學(xué)基金 “基于“征兆-劣化-失能”追蹤和知識引導(dǎo)AI預(yù)測的空調(diào)系統(tǒng)全景式診斷研究”負責(zé)人
2019-2022 國家自然科學(xué)基金 “基于雙向特性的空調(diào)系統(tǒng)電氣與熱力耦合故障研究”負責(zé)人
2014-2017 國家自然科學(xué)基金 “基于征兆探測的空調(diào)系統(tǒng)故障預(yù)示及其運行可靠度研究”負責(zé)人
2011-2013 國家自然科學(xué)基金 “空調(diào)系統(tǒng)多故障診斷及其容錯效率研究” 負責(zé)人
2021-2024 科技部重點研發(fā) “高密度城市中建筑綜合能源系統(tǒng)智能管理技術(shù)研發(fā)”交大負責(zé)人
2019-2020 教育部 “基于Niagara的智慧建筑物聯(lián)網(wǎng)實踐平臺”負責(zé)人
2017-2019 上海市浦江人才計劃 “建筑空調(diào)系統(tǒng)故障診斷與節(jié)能”負責(zé)人
2023-2025 青島市科技局 “中央空調(diào)系統(tǒng)智慧節(jié)能技術(shù)研究與應(yīng)用示范”課題負責(zé)人
2014-2016 國際合作-美國商務(wù)部 “Faults evaluation and diagnosis for the building and its heat pump air conditioning systems” 交大負責(zé)人
2011-2013 國際合作—日本大金 “Development of Simulation Technology of VRV and Ventilation Combining System” 負責(zé)人
2007-2009 中國博士后科學(xué)基金 “基于模型-信號的建筑空調(diào)系統(tǒng)多故障容錯技術(shù)研究” 負責(zé)人
2010-2012 密西根大學(xué)-SJTU聯(lián)合研究基金 “Large panel integrated light transmitting and solar energy harvesting facade systems for net zero energy efficient buildings” 負責(zé)人
2009-2011 上海交通大學(xué)醫(yī)工交叉研究基金 “CO2加熱加濕系統(tǒng)的開發(fā)在腹腔鏡胃癌手術(shù)中的應(yīng)用” 負責(zé)人

2）企業(yè)課題：
2023-2025 華為 “儲能熱管理系統(tǒng)故障預(yù)測智能控制技術(shù)”負責(zé)人
2023-2024 國家電投集團 “光伏-儲能綜合能源系統(tǒng)發(fā)電預(yù)測與負荷控制”負責(zé)人
2022-2023 萬國數(shù)據(jù) “數(shù)據(jù)中心暖通空調(diào)AI優(yōu)化控制及其能效治理”負責(zé)人
2021-2023 海爾 “物聯(lián)中央空調(diào)智慧減碳控制技術(shù)研發(fā)”負責(zé)人
2021-2022 萬國數(shù)據(jù) “數(shù)據(jù)中心能源故障預(yù)測多中心泛化應(yīng)用”負責(zé)人
2020-2021 萬國數(shù)據(jù) “數(shù)據(jù)中心能源故障預(yù)測及其智能運維”負責(zé)人
2021-2023 雪鏈物聯(lián)網(wǎng) “冷庫能源系統(tǒng)故障預(yù)測及其智能管理軟件開發(fā)”負責(zé)人
2019-2020 上海疊騰科技 “樓宇空調(diào)系統(tǒng)大數(shù)據(jù)智能管理平臺開發(fā)”負責(zé)人
2017-2019 美國開利 “800RT螺桿壓縮機性能試驗系統(tǒng)”負責(zé)人
2017-2018 華為研發(fā)中心 “數(shù)據(jù)中心空調(diào)系統(tǒng)故障檢測與診斷研究” 負責(zé)人
2016-2017 華為研發(fā)中心 “制冷系統(tǒng)自動診斷研究” 負責(zé)人
2014-2016 上海市質(zhì)量技術(shù)監(jiān)督局、質(zhì)量監(jiān)督檢驗技術(shù)研究院 “風(fēng)機盤管性能試驗系統(tǒng)研制” 負責(zé)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，晉欣橋，基于VAV空調(diào)新風(fēng)優(yōu)化分配的控制，已授權(quán)，授權(quán)公告號：100552573
2. 杜志敏，晉欣橋，一種用于熱泵的氣液制冷劑混合器，發(fā)明專利公開，公開號：CN101561203
3. 杜志敏，晉欣橋，楊學(xué)斌，模塊化抽屜式高效污水換熱器，發(fā)明專利公開
4. 晉欣橋, 杜志敏 基于室內(nèi)相對濕度控制的送風(fēng)溫度優(yōu)化控制器 已授權(quán)，專利號：ZL2004 1 0017181.5
5. 晉欣橋, 杜志敏 中央空調(diào)水系統(tǒng)溫度及流量傳感器的在線故障診斷系統(tǒng) 已授權(quán)，專利號：ZL2004 1 0017182.X
6. 晉欣橋, 杜志敏 基于空調(diào)水側(cè)傳感器在線故障診斷的機組啟停優(yōu)化控制器已授權(quán)，專利號：ZL2004 1 0017180.0