Young Scholars Forum

Prof. Meng Zhang

Xi’an Jiaotong University, Xi’an, China

Biography: Meng Zhang received the B.S. degree in electrical engineering from Xi’an Jiaotong University, Xi’an, China, in 2013, and the Ph.D. degree in control science and engineering from Zhejiang University, Hangzhou, China, in 2018. He is currently a Professor with the School of Electronic and Information Engineering, Xi’an Jiaotong University. His research interests include nonlinear control, filtering, and cyber-physical systems.

Assoc. Prof. Jingliang Sun

Beijing Institute of Technology, China

Biography: Jingliang Sun received the B.S. degree in automation from the Tianjin University of Technology, Tianjin, China, in 2013, and the Ph.D. in control theory and control engineering from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2019.,He is an Associate Professor with the School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China. His research interests include adaptive dynamic programming, cooperative guidance and control, and cooperative mission planning in aerospace engineering.

Prof. Xinghua Liu

Xi'an University of Technology, China

Biography: Xinghua Liu (Senior Member, IEEE) received the B.S. degree from Jilin University, Changchun, China, in 2009, and the Ph.D. degree in automation from the University of Science and Technology of China, Hefei, China, in 2014. From 2014 to 2015, he was invited as a Visiting Fellow with RMIT University, Melbourne, VIC, Australia. From 2015 to 2018, he was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Since September 2018, he has been a Professor with Xi’an University of Technology, Xi’an, China. His research interests include state estimation and control, intelligent systems, autonomous vehicles, cyber-physical systems, and robotic systems.

Prof. Jinjian Wu

Xidian University, China

Biography: Jinjian Wu received the B.Sc. and Ph.D. degrees from Xidian University, Xi’an, China, in 2008 and 2013, respectively.,From 2011 to 2013, he was a Research Assistant with Nanyang Technological University, Singapore, where he was a Post-Doctoral Research Fellow from 2013 to 2014. From 2015 to 2019, he was an Associate Professor with Xidian University, where he has been a Professor since 2019. His research interests include visual perceptual modeling, biomimetic imaging, quality evaluation, and object detection.,Dr. Wu received the Best Student Paper Award at the ISCAS 2013. He has served as an Associate Editor for the journal of Circuits, Systems, and Signal Processing (CSSP), the Special Section Chair for the IEEE Visual Communications and Image Processing (VCIP) 2017, and the Section Chair/Organizer/TPC Member for the ICME2014-2015, PCM2015-2016, ICIP2015, VCIP2018, and AAAI2019.

Prof. Dongnian Jiang

Lanzhou University of Technology, China

Biography: Dongnian Jiang, Professor and Doctoral Supervisor, awarded the "Longyuan Young Talents" talent project in Gansu Province and supported by the Outstanding Youth Fund of Gansu Province . He serves as a member of both the Technical Committee on Fault Diagnosis and Safety of Technical Processes and the Technical Committee on Predictive Control and Intelligent Decision. Dr. Jiang earned his undergraduate degree from Xiamen University (2006) and a Ph.D. in Control Theory and Control Engineering from Lanzhou University of Technology (2018). His research focuses on artificial intelligence, intelligent sensor design, and fault diagnosis. He has led two National Natural Science Foundation of China (NSFC) projects and contributed to over 20 major research initiatives including the National Key R&D Program, Gansu Outstanding Youth Fund Project, Provincial Key R&D Program, and Natural Science Foundation Key Projects. His scholarly output includes 40+ peer-reviewed publications in journals such as IEEE Transactions on Reliability, ISA Transactions, and Measurement.

Speech Title: Research on Key Technologies of Intelligent Perception and Optimization Decision in Nickel Smelting Process
Abstract: Based on the strategic needs of intelligent transformation and upgrading of the non-ferrous metal industry in Gansu Province, we focus on the core process of nickel pyrometallurgy. In response to the bottleneck problems of multi-source perception data loss, insufficient accuracy of process mechanism models, and lagging warning of key equipment failures in the smelting process of nickel flash furnaces and top blowing furnaces, we deeply integrate artificial intelligence and digital twin technology to carry out key technology research and industrial application of intelligent perception and optimization decision-making in the key process of nickel pyrometallurgy.

Prof. Aming Li

Peking University, China

Biography: Aming Li received the B.Sc. degree in information and computing science from the Department of Mathematics, Zhejiang University of Technology, Hangzhou, China, in 2011, and the Ph.D. degree in general mechanics and foundation of mechanics from the Center for Systems and Control, Peking University, Beijing, China, in 2017.,Before joining Peking University as an Assistant Professor in 2020, he was a Postdoctoral Researcher with ETH Zürich, Zürich, Switzerland, and the University of Oxford, Oxford, U.K. He authored or coauthored papers published in journals including Automatica, Science, Nature Communications, and Nature Ecology and Evolution. His research interests include collective intelligence, evolutionary game theory, and network science.,Dr. Li is a recipient of the Long-Term Cross-Disciplinary Fellowship Award from the International Human Frontier Science Program Organization.

Prof. Li Guo, Professor

Anhui Polytechnic University, China

Biography: Professor Li Guo at the School of Electrical Engineering, Anhui University of Engineering. She has collaborated with various institutes and enterprises on research topics. To date, She has published over 30 SCI/EI indexed journal papers, applied for and been granted 6 national invention patents, and serves as a reviewer for various journals, including IEEE Transactions on Neural Network and Learning Systems, IEEE Transactions on Industrial Informations, Neurocomputing,  IEEE Transactions on Artificial Intelligence and Journal of Control and Decision. Her main research interests is data-driven fault diagnosis and and health management. In this field, she has received National Natural Science Foundation projects.

Assoc. Prof. Laihao Yang

Xi'an Jiaotong University, China

Biography: Dr. Laihao Yang received his Ph.D. Degree in the School of Mechanical Engineering from Xi’an Jiaotong University. He was a research fellow of the Structural Dynamics & Acoustic Systems Laboratory (SDASL). He is now in the faculty of the School of Mechanical Engineering at Xi’an Jiaotong University. His research interests include nonlinear vibration modeling and analysis, data-driven structural dynamics, compressive sensing, interpretable AI, and soft robotics. He is the recipient of the first Prize of Science and Technology Award of Shaanxi Higher Education Institutions and the best paper award of CMMNO 2024. He is currently serving on the Junior Editorial Board Member of Soft Science and Robot Learning, the council member of the Professional Committee for Dynamic Testing in the Chinese Society of Vibration Engineering.

Assoc. Prof. Bo Chen

Northwestern Polytechnical University

Biography: TBA