2015.09-2020.07 北京大學(xué)，工業(yè)工程與管理系，博士
2018.09-2019.11 威斯康星大學(xué)麥迪遜分校，工業(yè)與系統(tǒng)工程系，聯(lián)合培養(yǎng)博士
2011.09-2015.06 南開大學(xué)，工業(yè)工程系，學(xué)士

2020.09至今 上海交通大學(xué)機(jī)械與動力工程學(xué)院，助理教授、副教授

基于人工智能和統(tǒng)計學(xué)習(xí)的復(fù)雜工程系統(tǒng)分析，涉及時空統(tǒng)計、時空人工智能、小樣本深度學(xué)習(xí)、工業(yè)大模型等前沿理論研究
? 時空動態(tài)系統(tǒng)的預(yù)測、監(jiān)控、診斷與決策（軌道交通系統(tǒng)、城市物聯(lián)網(wǎng)系統(tǒng)、儲備糧質(zhì)量管理系統(tǒng)等）
? 基于深度學(xué)習(xí)和多元傳感數(shù)據(jù)融合的工業(yè)設(shè)備健康預(yù)測管理（PHM）

常年招收直博、普博、碩博、專碩，指導(dǎo)本科生科研及競賽，歡迎聯(lián)系d.wang@sjtu.edu.cn

IISE Transactions, Associate editor

IEEE Transactions on Automation Science and Engineering, Associate editor

IEEE International Conference on Automation Science and Engineering, Associate editor

Journal of Reliability Science and Engineering, 青年編委

中國現(xiàn)場統(tǒng)計研究會質(zhì)量分會理事

中國優(yōu)選法統(tǒng)籌法與經(jīng)濟(jì)數(shù)學(xué)研究會工業(yè)工程分會理事

中國機(jī)械工程學(xué)會工業(yè)大數(shù)據(jù)與智能系統(tǒng)分會委員

INFORMS, IISE, SME, IEEE會員

學(xué)術(shù)會議組織活動

? 組委會成員、Diversity & Inclusion chair, IEEE CASE, 2025

? 組織會副主席，質(zhì)量與可靠性科學(xué)技術(shù)國際研討會，2024

? 分會場組織者/分會場主席：INFORMS Annual Meeting、IEEE CASE、IEEE/SICE-SII、中國系統(tǒng)工程學(xué)會可靠性分會學(xué)術(shù)年會、華人學(xué)者工業(yè)工程國際年會，等

學(xué)術(shù)期刊會議評閱人：IEEE Transactions on Automation Science and Engineering，IISE Transactions，IEEE Transactions on Reliability，IEEE Transactions on Industrial Informatics，INFORMS Journal on Data Science, International Journal of Production Research，Journal of Intelligent Manufacturing，Computers and Industrial Engineering，Journal of Industrial and Production Engineering，IEEE International Conference on Automation Science and Engineering (CASE)，IEEE/SICE International Symposium on System Integration (SII)，工業(yè)工程與管理，等

國家自然科學(xué)基金委面上項目（72471145），考慮樣本增益的城市多模態(tài)時空網(wǎng)絡(luò)智能監(jiān)控與診斷決策，主持，2025/01-2028/12
國家重點(diǎn)研發(fā)計劃（2023YFB3307300），面向規(guī)模化生產(chǎn)過程的多源異構(gòu)數(shù)據(jù)感知分析理論，任務(wù)負(fù)責(zé)人，2023/12-2026/11
國家重點(diǎn)研發(fā)計劃（2022ZD0119305），全域多場景智能化碼頭關(guān)鍵技術(shù)與應(yīng)用示范，課題五：碼頭數(shù)據(jù)算法共享的智能中樞，子課題負(fù)責(zé)人，2023/03-2026/02
教育部產(chǎn)學(xué)合作協(xié)同育人項目（SPC2821CHN23083010293289），融合端云協(xié)同的大數(shù)據(jù)分析課程建設(shè)，主持，2023/09-2025/01
上海市場監(jiān)管局重點(diǎn)咨詢項目，基于事前預(yù)防的產(chǎn)品質(zhì)量安全治理模式創(chuàng)新研究，主持，2023/08-2023/11
上海市自然科學(xué)基金面上項目（22ZR1433000），基于時空人工智能的制造系統(tǒng)高維流數(shù)據(jù)建模與監(jiān)控研究，主持，2022/04-2025/03
上海市晨光計劃（21CGA12），交互事件網(wǎng)絡(luò)系統(tǒng)的時空建模和狀態(tài)監(jiān)控，主持，2022/01-2024/12
國家自然科學(xué)基金青年項目（72101148），基于多元時空動態(tài)流數(shù)據(jù)的制造系統(tǒng)狀態(tài)建模與過程監(jiān)控研究，主持，2022/01-2024/12
上海市青年科技英才揚(yáng)帆計劃（21YF1420100），基于深度學(xué)習(xí)的復(fù)雜制造過程數(shù)據(jù)融合與異常診斷研究，主持，2021/04-2024/03
上海交通大學(xué)“雙一流”建設(shè)項目（WF220502036），基于統(tǒng)計學(xué)習(xí)和人工智能對復(fù)雜工程系統(tǒng)的建模研究，主持，2020/09-2023/12
國家重點(diǎn)研發(fā)計劃（2022YFB3402103），高端裝備協(xié)同智能故障診斷理論與預(yù)測方法，課題三：高端裝備退化評估與數(shù)模聯(lián)動剩余壽命預(yù)測，參與，2022/12-2025/11
國家自然科學(xué)基金面上項目（72371161），線上線下聯(lián)合服務(wù)模式下大型公立醫(yī)院的服務(wù)策略與資源計劃調(diào)度研究，參與，2024/01-2027/12
國家自然科學(xué)基金面上項目（52275499），變剛度局部薄壁零件多齒銑削加工過程的力學(xué)建模與加工誤差控制方法，參與，2023/01-2026/12
國家自然科學(xué)基金重點(diǎn)項目（71932006），工業(yè)大數(shù)據(jù)環(huán)境下面向智能制造系統(tǒng)的質(zhì)量科學(xué)管控方法研究，參與，2020/01-2024/12
國家自然科學(xué)基金面上項目（51875003），基于多源異構(gòu)傳感的增材制造過程監(jiān)測與質(zhì)量控制研究，參與，2019/01-2022/12
國家自然科學(xué)基金面上項目（71771004），基于多尺度數(shù)據(jù)融合的智能制造系統(tǒng)狀態(tài)監(jiān)測與故障診斷，參與，2018/01-2021/12
國家自然科學(xué)基金面上項目（71571003），基于自適應(yīng)采樣方法的高維流數(shù)據(jù)在線過程監(jiān)測，參與，2016/01-2019/12
財政部國家公益科研專項（201413003），基于大數(shù)據(jù)的儲藏數(shù)據(jù)采集、挖掘及云服務(wù)技術(shù)，參與，2014/10-2018/12

1.     Wang, D., Pan, X., Gao, Y., Tsung, F., Li, F.* (2026) “Adaptive multimodal industrial fault diagnosis with attention-driven fusion boosting unimodal performance,” IEEE Transactions on Automation Science and Engineering, in press.

?  論文入選2025年華人學(xué)者工業(yè)工程國際年會最佳論文獎

2.     Li, D., Bai, M., Wang, D., and Xian, X.* (2026) “A Bayesian jump model-based pathwise sampling approach for online anomaly detection,” IISE Transactions, in press.

?  論文入選2024年運(yùn)籌與管理科學(xué)年會（INFORMS）數(shù)據(jù)挖掘分會最佳學(xué)生論文入圍獎

3.     Pan, X., Wang, D.*, and Tsung, F. (2026) “Empowering intelligent quality control with large models: a comprehensive survey of methods, challenges, and perspectives,” Frontiers of Engineering Management, in press.

4.     Wang, D.*, and Tsung, F. (2025) “A multimodal spatiotemporal modeling method for exploring multilayer dynamic networks,” IISE Transactions, in press, doi: 10.1080/24725854.2025.2561559.

5.     Wang, D., Zhang, P., Pan, E., and Qin, W.* (2025) “Bayesian hierarchical modeling of a multivariate spatiotemporal system based on interactive partial differential equations,” IISE Transactions, in press, doi: 10.1080/24725854.2025.2497538.

6.     Gao, Y., Li, S., Wang, D., Mao, J., and Ouyang, L.* (2025) “A neural network-based survival analysis model considering censored data for failure prediction,” IEEE Transactions on Automation Science and Engineering, in press, doi: 10.1109/TASE.2025.3640217.

7.     Li, Y., Li, Y. and Wang, D.* (2025) “Periodic Gaussian process controlled B-spline for scalable modeling of irregularly spaced signals,” IEEE Transactions on Information Theory, vol. 71, no. 10, pp. 7842–7855. 

8.     Wang, Y., Wang, F., Wang, D.*, and Chen, N. (2025) “A task-incremental semi-supervised meta learning method for few-shot RUL prediction,” Journal of Quality Technology, vol. 57, no. 5, pp. 460–475.

? 論文入選2025年華人學(xué)者工業(yè)工程國際年會優(yōu)秀論文獎

? 論文入選2024年工業(yè)工程年會優(yōu)秀論文獎

? 論文入選2024年中國優(yōu)選法統(tǒng)籌法與經(jīng)濟(jì)數(shù)學(xué)研究會工業(yè)工程分會高質(zhì)量論文獎

9.     Wang, D., Wang, A., Xian, X., and Li, Y.* (2025) “Partially observable online nonparametric monitoring of spatiotemporally correlated data streams,” Technometrics, vol. 67, no. 3, pp. 464–480. 

10.  Wang, D., Xian, X., and Li, H.* (2025) “Spatiotemporal interactive modeling of event-based dynamic networks,” Technometrics, vol. 67, no. 3, pp. 293–310. 

11.  Gao, Y., Wang, W., Wang, D., Li, X., and Ouyang, L.* (2025) “Accelerating RUL prediction on scarce and censored data via Bayesian-based multi-task reconstruction transformer,” Reliability Engineering and Systems Safety, vol. 2026, p. 111958.

12.  Wu, X., Zhao, Y., Wang, D., Huang, J.*, and Zhang, K. (2025) “Resilience assessment of power distribution systems based on structure varied dynamic Bayesian network under rainstorm disasters,” Reliability Engineering and Systems Safety, vol. 2026, p. 111660.

13.  Wang, D., Pan, X., Pan, E., and Li, Y.* (2025) “An adversarial branched network for degradation modeling under multiple failure modes,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 13501–13518.

? 論文入選2024年工業(yè)工程年會優(yōu)秀論文獎

14.  Zan, X., Wang, D., Song, C., Liu, F., Xian, X.*, and Berry, R. (2025) “Weakly supervised deep learning for real-time sleep apnea severity estimation using coarse-grained labels,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 15227–15240.

15.  Li, F.*, Lin, J., Wang, D., and Yang, H. (2025) “Industrial rare cyber attack detection based on federated diffusion-squeeze graph modeling,” IEEE Transactions on Industrial Cyber-Physical Systems, vol. 3, pp. 150–164.

16.  Wang, D., Xian, X., Li, H.*, and Wang, D. (2025) “Distribution-agnostic probabilistic few-shot learning for multimodal recognition and prediction,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 1941–1957.

17.  Wang, Y., Li, F., Wang, D.*, and Qin, W. (2025) “A restricted-learning network with observation credibility inference for few-shot degradation modeling,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 10177–10192.

? 論文入選全國工業(yè)工程博士生學(xué)術(shù)論壇優(yōu)秀論文獎

18.  Wang, Y., Wang, A., Wang, D.*, and Wang, D. (2025) “Deep learning-based sensor selection for failure mode recognition and prognostics under time-varying operating conditions,” IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 9252–9274.

19.  Wang, D., Song, C., and Zhang, X.* (2024) “Multimodal regression and mode recognition via an integrated deep neural network,” IISE Transactions, vol. 56, no. 10, pp. 1021–1037.

20.  Wang, D., Wang, Y., and Pan, E.* (2024) “Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling,” Journal of Quality Technology, vol. 56, no. 3, pp. 244–256.

21.  Wang, D.*, and Liu, K. (2024) “An integrated deep learning-based data fusion and degradation modeling method for improving prognostics,” IEEE Transactions on Automation Science and Engineering, vol. 21, no. 2, pp. 1713–1726.

22.  Wang, D.*, Xian, X., and Song, C. (2024) “Joint learning of failure mode recognition and prognostics for degradation processes,” IEEE Transactions on Automation Science and Engineering, vol. 21, no. 2, pp. 1421–1433.

23.  Wang, D., Wang, Y., Xian, X., and Cheng, B.* (2024) “An adaptation-aware interactive learning approach for multiple operational condition-based degradation modeling,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 12, pp. 17519–17533.

24.  Wang, D.*, Wang, A., and Song, C. (2024) “Flexible degradation modeling via the integration of local models and importance sampling,” IEEE Transactions on Instrumentation and Measurement, vol. 73, art. no. 1010012.

25.  Wang, D., Wang, Y., and Xian, X.* (2024) “A latent variable-based multitask learning approach for degradation modeling of machines with dependency and heterogeneity,” IEEE Transactions on Instrumentation and Measurement, vol. 73, art. no. 9508115.

26.  An, Y., Wang, D., Chen, L., and Zhang, X.* (2024) “TCP-ARMA: A tensor-variate time series forecasting method,” IEEE Transactions on Automation Science and Engineering, vol. 21, no. 3, pp. 2251–2263.

27.  Wang, D., Li, F., Liu, K., and Zhang, X.* (2024) “Real-time IoT security solution leveraging an integrated learning-based approach,” ACM Transactions on Sensor Networks, vol. 20, no. 2, art. no. 27, pp. 1–22.

28.  Wang, D.*, Li, F., and Liu, K. (2023) “Modeling and monitoring of a multivariate spatio-temporal network system,” IISE Transactions, vol. 55, no. 4, pp. 331–347.

29.  Zan, X., Wang, D., and Xian, X.* (2023) “Spatial rank-based augmentation for nonparametric online monitoring and adaptive sampling of big data streams,” Technometrics, vol. 65, no. 2, pp. 243–256.

30.  Yu, G., Wang, D., Liu, J., and Zhang, X.* (2023) “Distribution-agnostic few-shot industrial fault diagnosis via adaptation-aware optimal feature transport,” IEEE Transactions on Industrial Informatics, vol. 19, no. 4, pp. 5623–5632.

31.  Wang, D., Liu, K., and Zhang, X.* (2022) “A generic indirect deep learning approach for multisensor degradation modeling,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1924–1940.

32.  Wang, D., Liu, K., and Zhang, X.* (2022) “A spatiotemporal prediction approach for a 3D thermal field from sensor network,” Journal of Quality Technology, vol. 54, no. 2, pp. 215–235.

? 論文獲得2019年運(yùn)籌與管理科學(xué)年會（INFORMS）數(shù)據(jù)挖掘（DM）分會最佳論文獎

? 論文獲得2019年中國優(yōu)選法統(tǒng)籌法與經(jīng)濟(jì)數(shù)學(xué)研究會工業(yè)工程分會年會優(yōu)秀論文獎

33.  Zhao, C., Liu, F., Du, S.*, Wang, D., and Shao, Y. (2022) “An earth mover’s distance based multivariate generalized likelihood ratio control chart for effective monitoring of 3D point cloud surface,” Computers and Industrial Engineering, vol. 175, no. 2022, pp. 108911, 1–12.

34.  An, Y., Wang, D., and Zhang, X.* (2020) “A novel local temperature change detection approach in a 3D thermal field,” Quality Technology and Quantitative Management, vol. 17, no. 6, pp. 723–731.

35.  Wang, D., Liu, K., and Zhang, X.* (2020) “Spatiotemporal multitask learning for 3-D dynamic field modeling,” IEEE Transactions on Automation Science and Engineering, vol. 17, no. 2, pp. 708–721.

? 論文獲得2019年工業(yè)和系統(tǒng)工程年會（IISE）數(shù)據(jù)分析和信息系統(tǒng)（DAIS）分會最佳學(xué)生論文入圍獎

? 論文獲得2018年質(zhì)量與可靠性技術(shù)國際研討會最佳展示二等獎

36.  Wang, D., Liu, K., and Zhang, X.* (2020) “Spatiotemporal thermal field modeling using partial differential equations with time-varying parameters,” IEEE Transactions on Automation Science and Engineering, vol. 17, no. 2, pp. 646–657.

37.  Wang, D., Liu, K., and Zhang, X.* (2019) “Modeling of a three-dimensional dynamic thermal field under grid-based sensor networks in grain storage,” IISE Transactions, vol. 51, no. 5, pp. 531–546. 

? 論文入選2019年工業(yè)和系統(tǒng)工程協(xié)會雜志（ISE）專題文章

? 論文獲得2020年IISE Transactions最佳應(yīng)用論文獎

* 通訊作者 

發(fā)明專利
1. 一種基于時空動態(tài)耦合的三維溫度傳感數(shù)據(jù)分析方法，第一發(fā)明人，專利號：ZL 201710188585.8, 2020
2. 一種基于遷移學(xué)習(xí)的倉儲糧食溫度場估計方法，第一發(fā)明人，專利號：ZL 201810042592.1, 2020
3. 基于時空條件動態(tài)建模的三維溫度場監(jiān)測方法，第二發(fā)明人，專利號：ZL 201910149975.3，2020
4. 基于多元時空數(shù)據(jù)融合的物聯(lián)網(wǎng)系統(tǒng)建模和監(jiān)控方法，第一發(fā)明人，專利號：ZL 202110166192.3，2021
5. 一種基于傳感數(shù)據(jù)融合的溫度場預(yù)測方法，第一發(fā)明人，專利號：ZL 201811066070.1，2023
6. 基于深度學(xué)習(xí)耦合建模的飛機(jī)發(fā)動機(jī)剩余壽命預(yù)測方法，第一發(fā)明人，專利號：ZL 202110556279.1，2023
7. 基于聯(lián)合學(xué)習(xí)的飛機(jī)發(fā)動機(jī)失效模式識別和剩余壽命預(yù)測方法，第一發(fā)明人，專利號：ZL 202210334726.3

軟件著作權(quán)

1. 張沛涵，王迪，基于多元異構(gòu)數(shù)據(jù)融合的發(fā)動機(jī)預(yù)測健康管理系統(tǒng)V1.0，登記號：2024SR2122059

2. BRYAN LEE TENG，王迪，金鼎，毛子瑜，糧食倉儲溫度管理系統(tǒng)V1.0，登記號：2023SR0796911

3. 倉儲糧食品質(zhì)監(jiān)測平臺V1.0，登記號：2018SR229405，2018