修身;齐家;治国;平天下。 —— 《礼记-大学》
Cultivate oneself; Bring order to the family; Contribute to the nation; Bring peace to the world. ---- 《The Book of Rites》
Zhongliang Li (李忠亮)
Associate professor, Electrical Engineering and Automation
Laboratory of Information and Systems (LIS CNRS 7020), Faculty of Sciences
Aix-Marseille University, France.
Address: Office 14Bis, Polytech Building, Fac. St Jérôme, Avenue Escadrille Normandie-Niemen, 13397 Marseille, France.
Phone: +33 (0)4 91 05 60 32
Email: firstname.lastname@univ-amu.fr or firstname.lastname@lis-lab.fr
Personal website: www.zhongliangli.site
About my interests
Regarding the advances in both automation and information domains, especially those involving "Artificial Intelligence (AI)", the current operations of energy systems are nevertheless far from "intelligent". Meanwhile, when we try to penetrate the recent exciting developments in automation and information into those energy systems, new problems often rise up and challenge the regular thoughts and state-of-the-art implementation techniques. My research interests are therefore oriented to bridge the gap between the intelligent methodology development and application, particularly in energy systems. I believe that this research should be one of worldwide key scientific subjects in the ongoing and next decades. For more details about my research, you are all welcome to consult my "Research" and "Publications" pages.
Inside Aix-Marseille University and LIS (CNRS 7020), I am leading the Intelligent Energy System Group.
News
(18/12/2020) My CNRS project Cellule-Energie GIALE has been accepted. I will be PI of the project.
(24/11/2020) I got PEDR bonus thanks to the previous four-year research work.
(01/11/2020) My ANR JCJC project DEAL has been accepted. I will be PI of the project.
(23/09/2020) Our paper "A novel deep belief network and extreme learning machine based performance degradation prediction method for proton exchange membrane fuel cell" has been accepted by IEEE Access.
Our paper "Gain-scheduling control of dynamic lateral lane change for automated and connected vehicles based on multi-points preview" has been accepted by IET Intelligent Transport Systems.
I am recently invited to organize a special issue in Control Engineering Practice: “Machine learning and Advanced Data Analytics”. You are all welcome to submit your corresponding works to this special issue.
Mr. Liang GUO has passed the selection of Aix-Marseille University and obtained a full PhD scholarship. He will join us in 10/2020.
Our tutorial proposal "Diagnosis, prognosis and fault tolerance control for fuel cell systems" has been accepted to be presented in IECON 2020.
I am engaged to organize a panel session "PHM for EVs" in PHMe 2020, refer here for details.