2024 4th International Conference on Artificial Intelligence, Automation and High Performance Computing (AIAHPC 2024)

Keynote Speakers

SPEAKERS


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Prof. Jinsong Wu

University of Chile, Chile


Jinsong Wu (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada, in 2006.,He received the 2020 IEEE Green Communications and Computing Technical Committee Distinguished Technical Achievement Recognition Award for his outstanding technical leadership and achievement in green wireless communications and networking, the 2017 IEEE Green Communications and Computing Technical Committee Excellent Services Award for his excellent technical leadership and services in the Green Communications and Computing Community, the 2017, 2019, and 2021 IEEE Systems Journal best paper awards, and the 2018 IEEE Green Communications and Computing Technical Committee Best Magazine Paper Award. He was elected as the Vice Chair of the Technical Activities of the IEEE Environmental Engineering Initiative (EEI) from 2017 to 2022. He was the Founder and the Founding Chair of the IEEE Technical Committee on Green Communications and Computing (TCGCC) from 2011 to 2017. He was the Co-Founder and the Founding Vice-Chair of the IEEE TCBD in 2014 and from 2014 to 2022, respectively. Since 2022, he has been the Chair of the IEEE Technical Committee on Big Data (TCBD). He was the very first proposer of IEEE Green ICT Journals or Transactions in 2012. He was a Proposer in 2021, the Founder in 2022, and has been the Founding Editor-in-Chief since 2022, for the new international journal, Green Technologies and Sustainability, (KeAi). He was the leading Editor and the coauthor of the comprehensive book, titled Green Communications: Theoretical Fundamentals, Algorithms, and Applications (CRC Press, September 2012).


Speech Title:Environmental Sustainability and Intelligence as well as General Green Technologies

Abstract:Although the term of green has been often used to refer to energy consumption reduction or energy efficiency by many people and literatures, green actually should refer to environmental sustainability in more general senses. Environmental sustainability issues have been important topics for recent years, which has impacted and will further impact individuals, enterprises, governments, and societies. Environmental sustainability is not simply regarding reducing the amount of waste or using less energy, but relevant to developing processes leading to completely sustainable human society in the future. The long term consequences of the relevant serious issues have not yet been fully forecasted, but it has been generally accepted in many communities that immediate responses are necessary. From 30 November to 12 December 2015, the 21th United Nations Climate Change Conferences of the Parties (COP 21) was held in Paris, France, as the a historical breakthrough and milestone towards securing the future Earth, a global agreement on the reduction of climate change, the text of which represented a consensus of the representatives of more than 193 countries attending it, which was a profound milestone for global environmental sustainability. Nowadays there is another significant tendency on data driven intelligence. This talk would discuss the history, technical issues, challenges, and new trends of data driven environmental sustainability and Intelligence. Further this talk will extend the view to general green technologies.

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Prof. Xiuxian Li

Tongji University, China


Xiuxian Li, a Senior Member of IEEE, obtained his B.S. degree in mathematics and applied mathematics as well as his M.S. degree in pure mathematics from Shandong University, Jinan, China in 2009 and 2012 respectively. He then went on to receive his Ph.D. degree in mechanical engineering from the University of Hong Kong, Hong Kong in 2016. From 2016 to 2020, he served as a Research Fellow at the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. Additionally, he held the position of Senior Research Associate at the Department of Biomedical Engineering at City University of Hong Kong in 2018. In September 2019, he also took up a Visiting Position at King Abdullah University of Science and Technology located in Thuwal, Saudi Arabia. In 2020, Xiuxian Li joined Tongji University in Shanghai where he currently serves as a Professor.


Title:Online Optimization under Randomly Corrupted Attacks
Abstract:Online optimization is increasingly employed in various applications, including recommendations and target tracking. Yet, most existing algorithms in this field are based on trustful information, such as reliable gradient information. Although some algorithms cater to adversarial contexts, their decisions ultimately rely on consistent feedback from the environment, albeit within tolerable noise levels or budget constraints. However, there are instances where trustful gradients might not be available, for example, when malware tampers with data, resulting in degraded model performance. To take into account the security issue in online optimization, the effect of randomly corrupted attacks, which can corrupt gradient information arbitrarily, are reported in this talk.

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Prof. He Jiang

Dalian University of Technology, China


Jiang He: Member of the CPPCC of Liaoning Province, Deputy Director of the Information Department of Dalian University of Technology, professor and doctoral supervisor of the Software School of Dalian University of Technology, Dean of the Dalian Institute of Artificial Intelligence of Dalian University of Technology, winner of the National Outstanding Youth Science Fund (Youqing). He served as the deputy director of the National Virtual Teaching and Research Office of Compilation Technology, the expert of the 101 Course Construction Group of the Ministry of Education, the standing Committee member of the Software Engineering Committee of the Computer Society, the editorial Committee member of the Academic Exploration Cluster of Young scientists of the Computer Society, the sub-technical Committee of Software and System Engineering of the Chinese Beacon Commission, and the Chairman of the Dalian YOCSEF (2021-2022).


At present, my main research interest is software development tools and environment, and I have designed the fault discovery, location and repair scheme of universal compiler tool chain, which has solved the problem of software compilation consistency verification of domestic leading enterprises. Built a special test tool chain for embedded compilers and found dozens of new failures of internationally renowned industrial software tools. Several scenario-oriented programming languages have been defined and designed, and special compilers for safety-critical areas such as autonomous driving have been developed. Research results have served the fifth Aerospace Academy, aero Engine Research Institute, Huawei, Baidu, deep convincing and other famous enterprises and institutions.

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Prof. Hui Liu

Beijing Institute of Technology, China


Liu Hui, professor, doctoral supervisor, New century outstanding talents of the Ministry of Education, outstanding member of CCF, Secretary-General of CCF Software Engineering Committee. In 2008, he received his PhD from Peking University and joined the School of Computer Science, Beijing Institute of Technology. From 2012 to 2013, he conducted visiting research in UCL, UK. In 2013, he was selected into the New Century Outstanding Talents and Beijing Young Talents Funding Program of the Ministry of Education. His current research focuses on "intelligent software engineering", applying artificial intelligence and big data technology to software engineering research work.


He has presided over/participated in more than 20 national scientific research projects such as National Natural Science Foundation Youth Fund, National Natural Science Foundation Superficial Project, National Natural Science Foundation key project, National Natural Science Foundation major project, National key research and development project, and doctoral foundation of the Ministry of Education. He has published more than 30 papers in Class A top international journals/conferences recommended by IEEE TSE, ACM TOSEM, ICSE, FSE, ASE, ISSTA and other Chinese computer society.