National high-level talents
Li Huimin
Release time: April 24, 2023 09:04    Author:    点击:[]

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Academic Identity

Distinguished Professor of Shandong University,Doctoral Supervisor,Specially appointed expert of the National Key Talent Project,Distinguished Expert of China Association for Science and Technology Haizhi Plan

Work experience

2022.9 to present Distinguished Professor of Shandong University

2018.2-2021.1  Part-time Distinguished Professor of Shandong University

2017-2021  Distinguished Professor of Shandong University of Science and Technology

2010.5 to present Chairman of Shandong Wangcong Information Technology Co., Ltd.

2009.2-2010.4  Camiant(Nanjing)  General Manager

2008.4-2009.2 EMC Corporation  Chief Engineer

2006.10-2008.4 BigBand (Shenzhen)  General Manager

2000.8-2006.9  BigBand Networks   Chief Engineer, Asia Pacific Technical Director

1998.12-2000.7 Lucent Bell Labs   Researcher

1996.9-1998.12 Canada's Northern Telecommunications Nortel  Researcher

1992.1-1995.5   Postdoctoral fellow at Strathclyde, UK

1987-1991  Ph.D. in Electronic and Electrical Engineering from Strathclyde, UK

Personal information

Name

Li Huimin

Gender

Male

Date of birth

1963.10

Place of Origin

Pingdingshan, Henan

Professional title

Professor

Position

Specially appointed expert 

Email

huiminl@gridnt.com


Research direction

Engaged in research on new digital power systems,Including new energy grid control optimization based on artificial intelligence,Artificial intelligence detection of power equipment,Virtual power plant and cloud energy storage,Intelligent substation technology,Power system information model。

Academic works

Paper

[1] Bilevel Optimal Dispatch Strategy for a Multi-Energy System of Industrial Parks by Considering Integrated Demand Response,Energies 2018, 11(8), 1942

[2] Non-intrusive load monitoring based on convolutional neural network "Electrical Measurement and Instrumentation" Volume 59 Issue 1,148

[3] A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing, Energies, 2020,

13, 2195;

[4] Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation,IEEE Transactions on Smart Grid,42020,5

Invention patent

[1] A high-availability seamless redundant ring network repeated frame discarding method and system,CN111277480A,2021

[2] Ring network intelligent communication device and its configuration method,CN109194512B,2021

[3]A method of expressing the information interaction process of intelligent electronic devices in substations,CN108234237A,2019

[4]A kind of light IRIGIntelligent detection and reception method and device for B and FT3 codes,CN105743585B,2018

Undertake scientific research projects

1. Ministry of Industry and Information TechnologyHead of the sub-project of building a public service platform for the development of regional artificial intelligence applications

2. Presiding country“863”Project sub-topic one: Key technologies for advanced analysis and optimized operation of smart grids (2012AA050213

3.One project from the National Small and Medium Enterprise Development and Innovation Fund of the Ministry of Science and Technology: Smart Substation Digital Simulation and Information Processing Integrated System

4.State Grid Science and Technology Guide Project Project Name: Research on Integrated Technology of Simulation Debugging and Analysis of Smart Substations

Academic Type

Can cultivate academic and professional graduate students

The research group is always looking for masters in related research fields、Doctoral students and postdoctoral fellows,Interested parties may contact us by phone or email (please attach your resume to the email),Participate in close cooperation between industry, academia and research,Opportunities to participate in international exchanges。Sincerely looking forward to your joining!

Mainly engaged in research on new digital power systems,Topics include new energy grid control optimization based on artificial intelligence,Artificial intelligence detection of power equipment,Virtual power plant and cloud energy storage,Intelligent substation and power system information model。Students have abundant opportunities for exercise and practice,Get how to use information software and intelligent technology to solve scientific and engineering problems in new power systems marked by the access to large amounts of new energy。Welcome outstanding students to join!



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