Prof. Yinlong Hu, Hohai University, China
胡银龙教授，河海大学
胡银龙，河海大学人工智能与自动化学院副院长、青年教授、硕士生导师。分别于2010年和2016年毕业于南京理工大学自动化学院，获工学学士学位和工学博士学位。英国剑桥大学国家公派联合培养博士，香港大学和香港城市大学访问学者。入选斯坦福全球前2%顶尖科学家榜单和河海大学“大禹学者”计划。主持包括国家自然科学基金项目（面上、青年）、江苏省自然科学基金项目、国网公司科技项目等科研项目10余项，作为骨干参与国家自然科学基金-智能电网联合基金重点项目、国家重点研发计划课题等20余项。以第一作者/通讯作者发表论文43篇，其中SCI一区论文14篇、Top期刊12篇、ESI高被引论文1篇、中国科协T1期刊13篇，个人H指数18。出版学术专著3部，其中包括1部惯容研究领域首本英文专著。以第一发明人授权发明专利5项。担任中国自动化学会终身会员、中国人工智能学会终身会员和江苏省自动化学会控制理论及应用专委会委员，期刊Franklin Open编委，IEEE Transactions on Automatic Control、Automatica等权威期刊及CDC、CCC、CCDC等国内外重要会议的审稿人。期刊Journal of the Franklin Institute 2018、2019年度杰出审稿人。
Yinlong Hu is currently a Professor and deputy Dean with the College of Energy and Electrical Engineering, Hohai University. He received the B.S. degree in Electrical Engineering and Automation, and the Ph.D. degree in Control Theory and Control Engineering, from the School of Automation, Nanjing University of Science and Technology, Nanjing, China, in 2010 and 2016, respectively. He was a Research Associate with the Department of Mechanical Engineering, The University of Hong Kong, from 2012 to 2016 with multiple times. From January 2015 to July 2015, he was a visiting PhD Student with the Control group, University of Cambridge. He has been recognized on the Stanford Global Top 2% Scientists list.
Prof. Hu has led over ten scientific research projects, including the National Natural Science Foundation of China (General and Youth), the Jiangsu Provincial Natural Science Foundation, and the State Grid Corporation's technological projects. He has also been a key participant in more than twenty major projects such as the National Natural Science Foundation-Smart Grid Joint Fund and the National Key Research and Development Plan. He has authored more than 60 papers in refereed international journals, and he is an Active Reviewer for many international journals. His current research interests include vibration control, intelligent control theory and its applications in mechanical and electrical systems.
Prof. Hu is a lifetime member of the Chinese Association for Automation and the Chinese Association for Artificial Intelligence, and a committee member of the Control Theory and Application Committee of the Jiangsu Provincial Association for Automation. He serves on the editorial board of the Franklin Open journal and as a reviewer for authoritative journals such as IEEE Transactions on Automatic Control and Automatica, as well as for significant international and domestic conferences including CDC, CCC, and CDCC. He was honored as an Outstanding Reviewer for the Journal of the Franklin Institute for the years 2018 and 2019.
Professor Shaomin Wu received his PhD and MSc in Applied Statistics. Before moving to the University of Kent, he was a senior lecturer in risk and decision analysis at Cranfield University. He was a research fellow in machine learning at Bristol University.
