2025 2nd International Conference on Power Electronics and Artificial Intelligence(PEAI 2025)

Speakers



Speakers

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Prof. Yonghui Li, The University of Sydney,  Australia

Yonghui Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of the Australian Research Council (ARC)Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. He is an IEEE Fellow. His current research interests are in the area of wireless communications, with a particular focus on IoT, machine to machine communications, MIMO, millimeter wave communications, channel coding techniques, game theory, machine learning and signal processing. Professor Li was an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received several best paper awards from IEEE conferences. He has published one book, more than 300 papers in premier IEEE journals and more than 150 papers in premier IEEE conferences. His publications have been cited more than 20000 times. 





Prof. Qinghua Huang, Northwestern Polytechnical University, China

Qinghua Huang is  is currently a  Professor with the School of Optoelectronics and Intelligence of Northwestern Polytechnical University.His research interests include Photoelectric detection. Selected as a “New Century Excellent Talent” by the Ministry of Education in 2010, Distinguished Professor of the “Hundred Talents Plan” in Shaanxi Province in 2016, recipient of the “Outstanding Youth Fund” in Shaanxi Province in 2018, and a leading talent in scientific and technological innovation under the National Ten-Thousand Talents Program in 2021. Invited to serve as Associate Editor for the academic journals Pattern Recognition, Neurocomputing, and IET Image Processing.



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Prof. Chao Zuo, Nanjing University of Science and Technology, China

Dr. Chao Zuo is a professor in optical engineering, Nanjing University of Science and Technology (NJUST), China. He leads the Smart Computational Imaging Laboratory (SCILab: www.scilaboratory.com) at the School of Electronic and Optical Engineering, NJUST, and is also the founder and director of the Smart Computational Imaging Research Institute of NJUST. He has long been engaged in the development of novel Computational Optical Imaging and Measurement technologies, with a focus on Phase Measuring Imaging Metrology. He has published > 200 peer-reviewed articles with over 15,000 citations. These researches have been featured on journal cover (including Light, Optica, LPR, PhotoniX, AP, etc.) over 40 times. He currently serves as an Associate Editor of PhotoniX, Optics and Lasers in Engineering, IEEE Transaction on Computational Imaging, Microwave and Optical Technology Letters, and Advanced Devices & Instrumentation. He is a Fellow of SPIE | Optica | IOP, and listed as a Clarivate Highly Cited Researcher. 






Prof. Nianyin Zeng, Xiamen University, China

Nianyin Zeng is currently a  Professor with the Department of Instrumental and Electrical Engineering of Xiamen University. He received the B.Eng. degree in electrical engineering and automation in 2008 and the Ph.D. degree in electrical engineering in 2013, both from Fuzhou University. From October 2012 to March 2013, he was a RA in the Department of Electrical and Electronic Engineering, the University of Hong Kong. From September 2017 to August 2018, he was an ISEF Fellow founded by the Korea Foundation for Advance Studies and also a Visiting Professor at the Korea Advanced Institute of Science and Technology (KAIST).


His current research interests include intelligent data analysis, machine learning and computer vision, computational intelligent, system modeling and applications. He has published more than 80 research papers in referred journal and conferences as well as 13 patents. By Google Scholar, his publications have been cited by more than 8,000 times with H-Index 38.




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Assoc. Prof. Congduan Li, Sun Yat-sen University, China

Associate Professor at the School of Electronics and Communication Engineering, Sun Yat-sen University, and a member of the "Hundred Talents Program" at Sun Yat-sen University. His research areas include network coding, information theory, social networks, wireless communication, vehicular networks, information security, machine learning, and artificial intelligence.


**Education:**

- September 2004 - June 2008: Bachelor's degree in Communication Engineering from the University of Science and Technology Beijing.

- August 2009 - May 2011: Master's degree in Electrical Engineering from Northern Arizona University.

- June 2011 - September 2015: Ph.D. in Electrical Engineering from Drexel University.

**Work Experience:**

- June 2015 - September 2015: Lecturer in the Department of Electrical and Computer Engineering at Drexel University.

- October 2015 - December 2016: Research Fellow at the Institute of Network Coding, The Chinese University of Hong Kong (CUHK).

- September 2017 - December 2017: Part-time Lecturer at The Chinese University of Hong Kong, Shenzhen.

- December 2016 - August 2018: Research Fellow at the City University of Hong Kong.

- September 2018 - Present: Associate Professor at the School of Electronics and Communication Engineering, Sun Yat-sen University.




Assoc. Prof. Qiang Yang, Nanjing University of Information Science and Technology, China

Qiang Yang is an Associate Professor (university-appointed Professor) at Nanjing University of Information Science and Technology (NUIST), serving as the Head of the Department of Artificial Intelligence at the School of Artificial Intelligence. He is a fourth-tier talent under the NUIST Longshan Scholars program and a Master's supervisor. He earned his Master's degree in 2014 and his Ph.D. in 2019 from the School of Information Science and Engineering and the School of Data Science and Computer Science at Sun Yat-sen University, respectively. His research primarily focuses on computational intelligence algorithms and their applications. He has published over 70 academic papers, including more than 10 papers in top international journals in the field of artificial intelligence, such as the IEEE Transactions series. His work has been cited over 2,200 times on Google Scholar. One of his papers was selected as an ESI Highly Cited Paper, and another received a nomination for the Best Student Paper Award at IEEE SMC 2022 (a CCF Class C conference). He also won the Best Paper Award at IEEE ICACI 2023 (a flagship conference in computational intelligence). He holds 7 authorized invention patents, 1 utility model patent, and 5 software copyrights. In 2020, he was selected for the Jiangsu Province Double Innovation Doctor Program. He was awarded the university's May Fourth Youth Medal in 2022 and was recognized as one of the university's first Top Ten Young Science and Technology Stars in 2023. He has led 1 National Natural Science Foundation project, 1 Jiangsu Province Natural Science Foundation project, and 1 Jiangsu Higher Education Natural Science Foundation General project.


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