The 2nd International Conference on Dynamical Science and Energy Engineering (ICDSEE 2022)
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Official Website:ICDSEE 2021


ICDSEE 2021已于2022年3月已EI检索!


2021 International Conference on Dynamical Science and Energy Engineering (ICDSEE 2021) has received much attention from scholars since its inception and it was successfully held on October 15, 2021. Due to the COVID-19 outbreak, we had to change the offline conference originally scheduled in Chengdu to an online conference. ICDSEE 2021 online conference includes 4 keynote speakers and 4 oral speakers to share academic reports. Thanks to the support of experts and scholars! The conference will be held once a year and we sincerely invite you to attend the conference again.

2021年动力科学与能源工程国际会议(ICDSEE 2021)自创办以来倍受学者关注,并且在2021年10月15日取得圆满成功。由于新冠疫情的影响,我们将原定在成都举行的线下会议调整为线上会议。ICDSEE 2021线上会议包含四名主讲嘉宾和四名口头汇报的学者分享学术报告。感谢各位专家和学者的支持!会议每年举办一次 ,诚邀您再次参会。


Keynote Speech

A. Prof. Shaofeng Lu

South China University of Technology

Title: eEnergy-Efficient Train Control: Towards Decarbonization of Future Railway Transportation

Prof. Jianmin Zhang

Hangzhou Dianzi University

Title: A sponge city flood storage tank for both stormwater 

and pumping storage

Prof. Wei Chu

Sichuan University

Title: Enhanced new Catalysts for CO2 Conversion to valued Chemicals

Prof. Zhe Chen

Aalborg University

Title: Renewable energy dominaed power systems


Oral Presentation

Yousong Shi

Huazhong University of Science and Technology

Title: Multistage noise reduction processing for vibration signal of 

hydropower units


Jianliang Wang

Tianjin College, University of Science and Technology Beijing

Title: Design of Three-Dimensional Gesture Recognition and Motion 

Tracking Human-Computer Intelligent Interaction System based 

on PAJ7620

Yaxuan Han

North China Electric Power University

Title: The Situation and Suggestions of New Energy Power System 

Under the Background of Carbon Reduction in China

Yueli Dong

Ordos Insititute of Technology

Title: Research on modeling method of power system network 

security risk assessment based on object-oriented Bayesian network


Group Photo