Date   of Birth

1976.1

Professional   Title

Professor,   Doctoral Supervisor

E-mail

ljli@njtech.edu.cn

Research   Fields

Data Science, Application of Artificial Intelligence in   Industrial Process, Modeling of Complex Industrial Process, Predictive   Control, and Performance Evaluation of Control System

Personal   Profile

Education   Background：

2005.3—2008.12 Ph.D. in Control   Science and Engineering, Zhejiang University

2001.9—2004.6 Master in Control Theory   and Engineering, Nanjing Tech University

1993.9—1997.6 Bachelor in Production   Automation, Nanjing Tech University

Work   Experience：

2013.4-2014.4 Visiting Fellow, University of Southern   California

1997.8-Present Instructor in Control Science and Engineering Department, Nanjing Tech   University

Representative   Research Projects / Works / Papers

Projects:

1. General Program of the National   Natural Science Foundation of China：Performance Evaluation and Depth   Diagnosis of Double-Layered Predictive Control System with Interlayer   Coupling, 2019-2022, Project Leader

2. Supported by the Young Scientists   Fund of the National Natural Science Foundation of China: Study on   Distributed Generalized Predictive Control for Complex Large Chemical   Process, 2013-2015, Project Leader

Papers：

1. ShuZhang, LijuanLi*,   LijuanYao, ShipinYang, TaoZou. Data-driven process decomposition and robust   online distributed modelling for large- scale processes. International Journal of   System Science, 2018, 49 (3): 449-463（SCI Q3）。

2. LijuanLi, TingtingDong,   ShuZhang, XiaoxiaoZhang, ShipingYang. Time-delay identification in dynamic   processes with disturbance via correlation analysis. Control Engineering   Practice, 2017, 62:92–101（SCI Q3）

Patents:

1. Automatic Bag Packaging Flexible   Production Line, 201610342619X, First Patentee, 2018

2. A Deep   Diagnosis Method for Predicting Performance Decline of Control Model,   201410811191X, First Patentee, 2017