千赢国/qy88千嬴国际官网-手机版

2010年9月-2015年7月 千赢国系，获工学博士学位

2013年9月-2014年9月 美国麻省理工学院化工系，国家留学基金委联合培养项目

2006年9月-2010年7月 浙江大学控制科学与工程系，获工学学士学位

2020年7月-至今 千赢国系，助理教授，博士生导师

2016年9月-2020年7月 美国麻省理工学院，博士后，合作导师Richard Braatz院士

1. 计算能源智能：机器学习、人工智能与新能源领域前沿交叉研究方向。研究融合机器学习、人工智能、控制理论等技术，以新能源汽车电池设计为载体，致力于探索能源智能的预测、诊断、控制和优化新方法。

2.  复杂工业系统建模与故障监控：研究基于统计学习、机器学习的建模、诊断和预测理论与方法，提升复杂工业系统运行的安全性和可靠性。
 

1.    Data-Driven Design of Li-ion Batteries, MIT-Stanford联合攻关项目“Accelerated Materials Design and Discovery Program”, 核心研究骨干, 2017.09- 2020.07

2.    基于CVA及因果分析的复杂系统故障诊断方法研究, 国家自然科学基金委，项目负责人，2017.01-2019.12

3.    Self-Learning Event Detection and Classification, ExxonMobil-MIT Energy Initiative Seed Fund, 核心研究骨干, 2016.09- 2017.08

NSF Travel Award for Foundations of Process Analytics and Machine Learning Conference, 2019

Journal of Process Control期刊杰出审稿人, 2018

瑞士乔诺法(Chorafas)青年研究奖, 2016

北京市优秀毕业生, 2015

清华大学优秀博士论文, 2015

清华自动化系学术新秀, 2015

主要期刊论文
1. Qiugang Lu, Benben Jiang, Eranda Harinath. Fault diagnosis in industrial processes by maximizing pairwise Kullback-Leibler divergence. IEEE Transactions on Control Systems Technology, doi: 10.1109/TCST.2019.2950403, 2019.
2. Kristen Severson, Peter Attia, Norman Jin, Nicholas Perkins, Benben Jiang, Zi Yang, Michael H. Chen, Muratahan Aykol, Patrick K. Herring, Dimitrios Fraggedakis, Martin Z. Bazant, Stephen J. Harris, William C. Chueh, Richard D. Braatz. Data-driven prediction of battery cycle life before capacity degradation. Nature Energy, 4: 383–391, 2019. (Cover paper).
3. Benben Jiang, Yi Luo, Qiugang Lu. Maximized mutual information analysis based on stochastic representation for process monitoring. IEEE Transactions on Industrial Informatics, 15: 1579–1587, 2019.
4. Benben Jiang, Zifeng Guo, Qunxiong Zhu, Gao Huang. Dynamic minimax probability machine-based approach for fault diagnosis using pairwise discriminate analysis. IEEE Transactions on Control Systems Technology, 27: 806–813, 2019.
5. Benben Jiang, Yi Luo. Matrix factorization based instrumental variable approach for simultaneous identification of bi-directional path models. ISA Transactions, 79: 73–82, 2018.
6. Qiugang Lu, Benben Jiang, R. Bhushan Gopalunia, Philip D. Loewend, Richard D. Braatz. Sparse canonical variate analysis approach for process monitoring. Journal of Process Control, 71: 90–102, 2018.
7. Qiugang Lu, Benben Jiang, R. Bhushan Gopalunia, Philip D. Loewend, Richard D. Braatz. Locality preserving discriminative canonical variate analysis for fault diagnosis. Computers & Chemical Engineering, 17:309–319, 2018.
8. Benben Jiang, Richard D. Braatz. Fault detection of process correlation structure using canonical variate analysis-based correlation features. Journal of Process Control, 58, 131–138, 2017.
9. Benben Jiang, Fan Yang, Dexian Huang. Simultaneous structure and parameter identification of multivariate systems by matrix decomposition. Transactions of the Institute of Measurement and Control, 38: 1411–1420, 2016.
10. Benben Jiang, Xiaoxiang Zhu, Dexian Huang, Joel A. Paulson, Richard D.Braatz. A combined canonical variate analysis and fisher discriminant analysis (CVA-FDA) approach for fault diagnosis. Computers & Chemical Engineering, 77:1–9, 2015.
11. Benben Jiang, Xiaoxiang Zhu, Dexian Huang, Richard D. Braatz. Canonical variate analysis-based monitoring of process correlation structure using causal feature representation. Journal of Process Control, 32:109–116, 2015.
12. Leo H. Chiang, Benben Jiang, Xiaoxiang Zhu, Dexian Huang, Richard D. Braatz. Diagnosis of multiple and unknown faults using the causal map and multivariate statistics. Journal of Process Control, 28: 27–39, 2015.
13. Benben Jiang, Fan Yang, Wei Wang, Dexian Huang. Simultaneous identification of bi-directional path models based on process data. IEEE Transactions on Automation Science and Engineering, 12: 666–679, 2015.
14. Benben Jiang, Dexian Huang, Xiaoxiang Zhu, Fan Yang, Richard D. Braatz. Canonical variate analysis-based contributions for fault identification. Journal of Process Control, 26: 17–25, 2015.
15. Benben Jiang, Fan Yang, Wei Wang, Dexian Huang. Simultaneous identification of bi-directional paths in closed-loop systems with colored noise. Automatica, 58:139–142, 2015.
主要会议论文
1. Benben Jiang, Weike Sun, Richard D. Braatz. An information-theoretic framework for fault detection evaluation and design of optimal dimensionality reduction methods. IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Poland, Aug. 2018: 1311–1316.
2. Weike Sun, Benben Jiang, Richard D. Braatz. Concurrent canonical variate analysis for process operating condition deviations and dynamic anomalies monitoring. AIChE Annual Meeting, Pittsburgh‎, USA, Aug. 2018. (Finalist for the CAST Directors Best Student Presentation Award)
3. Benben Jiang, Zifeng Guo, Gao Huang. Pairwise discriminate analysis based minimax probability machine approach for fault diagnosis. IEEE Conference on Control Technology and Applications, Hawaii, USA, Aug. 2017: 1486–1491.
4. Benben Jiang, Qunxiong Zhu, Xiaoxiang Zhu. A generalized instrumental variable method based on matrix decomposition for simultaneous identification of bi-directional paths in closed-loop systems. IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, Norway, June 2016: 1115–1120.
5. Benben Jiang, Fan Yang, Dexian Huang, Wei Wang. Extended-AUDI method for simultaneous determination of causality and models from process data.  American Control Conference, Washington, USA, June 2013: 2491–2496.
6. Benben Jiang, Fan Yang, Yongheng Jiang, Dexian Huang. An extended AUDI algorithm for simultaneous identification of forward and feedback paths in closed-loop systems. IFAC Symposium on Advanced Control of Chemical Processes, Singapore, July 2012:396–401.