Speakers

Keynote Speakers of AEST 2023

Prof. Zhuoqing Yang

Shanghai Jiao Tong University, China

Experience: Prof. Zhuoqing Yang received the B.Sc. and M.Sc. degrees in electromechanical engineering from Harbin Engineering University, China, in 2003 and 2005, respectively. He obtained the Ph.D. degree in microelectronics and solid state electronics from Shanghai Jiao Tong University (SJTU), China, in 2010. He continued his research in the Research Institute of Micro/Nano Science and Technology at SJTU as an Assistant Professor. In 2011, Dr Yang was awarded a prestigious JSPS Post-Doctoral Fellow and worked at the National Institute of Advanced Industrial Science and Technology (AIST) in Tsukuba, Japan. After successfully completed the fellowship in 2013, Dr Yang joined in the School of Electronic Information and Electrical Engineering at SJTU as an Associate Professor in 2013 and had been promoted to a Full Professor in 2018. He is also a Resident Researcher with the National Key Laboratory of Science and Technology on Micro/Nano Fabrication, China. He was the recipient of the Shanghai Municipal Technological Invention Award 1st rank prize (2016) and Best Paper Award of JCK MEMS/NEMS 2013. He is selected as the “Shanghai Pujiang Program Talent” in 2014. He is also an editorial board member of Nanomanufacturing and Micro and Nanosystems (MNS). He is invited as the TPC members and section chairs for several international conferences (IEEE INEC2018, IMCO2018, IEEE NEMS2019, etc.) and given keynote/oral presentations. He has completed more than five national grants and is also leading three national grants as the Principal Investigator, including NSFC, “863” Program Sub-Projects and The National Key Research and Development Program of China. He is holding more than 20 Chinese patents and one Japanese patent. His research interests include the design, simulation, and fabrications of the MEMS/NEMS and flexible devices.

Title: Integrated manufacturing technology and application of MEMS devices on ultra-fine cylindrical substrates

Prof. Jian Dong

Central South University, China

Experience: Prof. Jian Dong received the B.S. degree in communication engineering at Hunan University in 2004, and the Ph.D. degree in information and communication engineering at the Huazhong University of Science and Technology (HUST) in 2010. He was a Research Assistant at National Key Laboratory of Science and Technology on Multispectral Information Processing of HUST from 2006 to 2010. He was a Visiting Scholar at the Eledia Research Center of University of Trento in Italy from 2016 to 2017. He works as a Full Professor at School of Computer Science and Engineering of Central South University. He published 6 books and over 150 peer-reviewed academic papers on international journals and conferences. He owns 19 innovation patents. His research interests include antennas, metamaterials, radars, machine learning and its applications to electromagnetics. He is the director of Hunan Engineering Research Center for new generation mobile communication RF inductive components. He is a member of Young Talents Board of Zhejiang Lab, a member of the expert database of the Ministry of Science and Technology, the National Natural Science Foundation, and the Ministry of Education. He has served as the Review Editor on the Editorial Board of some SCI-indexed journals, including Frontiers in Physics and Mathematics. He has served as a general co-chair of IoTCIT2022 and 6GIoTT2022, as a technical program chair of CCPQT2022 and EITCE2021&2022, as a Session chair for IEEE ICMMT/IWS/NEMO/ISAPE/ISAP/IWAT, ACES, and PIERS.

Assoc. Prof. Jingsong Li

School of Electrical Engineering, Dalian University of Technology, China

Experience: Assoc. Prof. Jingsong Li received the Ph.D. degree from the Hebei University of Technology, Tianjin, China, in 2017, and became a Postdoctoral Fellow with Tsinghua University, Beijing, China, during 2017-2019, all in electrical engineering. He is currently an associate professor in Dalian University of Technology, Dalian, China. His research interests include Energy Storage Transformer, Submarine Cable Detection, magnetic losses characteristics modeling and measurement analysis and application of magnetic materials in electrical engineering, and analysis of high-frequency electromagnetic vibration and noise characteristics of electrical equipment. He was selected as Outstanding Young Scientific and Technological Talents of Liaoning Province in 2022. Focusing on the major national demand for large-scale energy storage and advanced manufacturing of intelligent equipment in multi-application scenarios and multi-objective planning in the new energy power system, he is committed to the research and development of theories, technologies, software and hardware systems for electrical equipment performance evolution, load matching, energy conservation and consumption reduction, and have presided over or completed more than 10 projects (topics) such as the National Natural Science Foundation of China, China Postdoctoral Science Fund, provincial (ministerial), municipal and enterprise cooperation projects. Over the past five years, the total amount of funding has reached more than ¥13 million. He has published more than 20 relevant academic papers, 8 authorized national patents (including 3 invention patents), 6 invited reports at international (domestic) academic conferences, participated in the formulation of 2 industry standards, and 1 unique technology application has been gradually put into the market.

ity of Engineering and Technology, Peshawar, Pakistan, in 2009 and received master degree in satellite navigation from Polito di Torino, Italy, in 2012. He received his Ph.D. degree in electronics and communication engineering from Hanyang University, Seoul, South Korea in 2015. He was an Assistant Professor at the Department of Electrical Engineering, Gandhara Institute of Science and IT, Peshawar, Pakistan from August 2015 to September 2016. Dr. Saeed worked as an assistant professor at IQRA National University, Peshawar, Pakistan from October 2017 to July 2017. He is currently an associate professor of electrical engineering at northern border university, Arar, KSA. His current areas of interest include cognitive radio networks, underwater and underground wireless communications, satellite communications, flying networks, dimensionality reduction, and localization.

Title: The All-in-one Technology of "Load-storage-transformation-network-detection" Integrated System Based on Power Transformer

Prof. Ning Sun

Nankai University, China

Experience: Ning Sun received the B.S. degree in measurement & control technology and instruments (with honors) from Wuhan University, Wuhan, China, in 2009, and the Ph.D. degree in control theory and control engineering (with honors) from Nankai University, Tianjin, China, in 2014. He is a Senior Member of the IEEE. He is currently a Professor with the Institute of Robotics and Automatic Information Systems, Nankai University, Tianjin, China. His research interests include intelligent control for mechatronic/robotic systems with an emphasis on (industrial) applications.

Dr. Sun received the Machines 2021 Young Investigator Award, the prestigious Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship for Research in Japan (Standard), the Wu Wenjun Artificial Intelligence Excellent Youth Award in 2019, the ICCAR 2022 Young Scientist Award, the China 10 Scientific and Technological Developments in Intelligent Manufacturing of 2019, several outstanding journal/conference paper awards, etc. He serves as an Associate Editor for several journals, including IEEE Transactions on Industrial Electronics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE Systems Journal, and Journal of Field Robotics. In addition, he has been an Associate Editor of the IEEE CSS Conference Editorial Board since July 2019, and he is/was an Associate Editor for the top robotics conferences IEEE ICRA and IEEE/RSJ IROS.

Title: Intelligent Transportation Control for Industrial Crane Systems: Theory, Experiments, and Applications