Fangfang Zhang | Control sicence | Best Researcher Award

Prof. Fangfang Zhang | Control sicence | Best Researcher Award

Professor, Qilu University of Technology (Shandong Academy of Sciences), China

Dr. Zhang Fangfang is an accomplished researcher in control theory, artificial intelligence, and nonlinear systems. She serves as an Associate Professor at the School of Information and Automation, Qilu University of Technology, and has held multiple visiting scholar positions at prestigious institutions, including the Chinese Academy of Sciences and City University of Hong Kong. With a strong background in system optimization, atmospheric turbulence analysis, and chaotic secure communication, she has led numerous research projects funded by the National Natural Science Foundation of China and Shandong Province. Dr. Zhang has published over 130 SCI/EI papers, including highly cited works, and has secured 20 invention patents, including two US patents. Her contributions to education and research have been recognized with multiple prestigious awards. She is an active reviewer for international journals and serves in various academic committees, further advancing research in automation and artificial intelligence.

Profile

scopus

Educational Experience 

Dr. Zhang Fangfang holds a Doctoral Degree in Control Theory and Control Engineering from Shandong University (2010–2014). She earned her Master’s Degree in the same discipline from Beijing University of Technology (2003–2006) and a Bachelor’s Degree in Automation from Northeast Petroleum University (1999–2003). Her academic journey has provided her with a strong foundation in automation, control engineering, and artificial intelligence. Throughout her education, she developed expertise in nonlinear systems, system optimization, and chaotic dynamics, setting the stage for her groundbreaking research in fault diagnosis, atmospheric turbulence, and secure communication. Her doctoral research focused on advanced control methodologies and their applications in complex engineering systems, contributing significantly to the field. With a multidisciplinary approach, she integrates artificial intelligence techniques into automation and control systems, paving the way for innovations in industrial and academic research.

Work Experience 

Dr. Zhang Fangfang is an Associate Professor at Qilu University of Technology, where she has been teaching since 2014. She was promoted from Lecturer (2014–2017) to Associate Professor (2018–present) due to her outstanding contributions to research and academia. She has also held several prestigious visiting scholar positions, including at the Aerospace Information Research Institute, Chinese Academy of Sciences (2023–2024), the Research Center for Chaos and Complex Networks, City University of Hong Kong (2019–2020), and the Department of Computer Science, University of Otago, New Zealand (2018–2019). Additionally, she completed a postdoctoral research fellowship in Systems Engineering at Shandong University (2018–2022). Her professional experience is deeply rooted in interdisciplinary research, focusing on control engineering, artificial intelligence, and nonlinear systems. She has successfully led and participated in major research projects, establishing herself as a key figure in the advancement of automation, intelligent control, and secure communication.

Awards and Honors 

Dr. Zhang Fangfang has received multiple prestigious awards for her outstanding contributions to science and education. She won the First Prize of the Natural Science Award (Zhang Siying Award) from the Shandong Institute of Automation and the First Prize of the Science and Technology Award from Shandong Machinery Industry. Her dedication to higher education earned her the First Prize of the Teaching Achievement Award in Robotics and Artificial Intelligence Education at the 23rd session. She also secured the Provincial Teaching Achievement Award (First Prize) in Shandong Province. Her research excellence was further recognized with the Second Prize of the Science and Technology Award of Shandong Higher Education Institutions and multiple other teaching and research accolades. Dr. Zhang is an active member of professional organizations, including the Chinese Association of Automation and the Chinese Association for Artificial Intelligence, where she contributes to shaping the future of intelligent automation and control engineering.

Research Focus 

Dr. Zhang Fangfang’s research spans control engineering, artificial intelligence, nonlinear systems, and secure communication. She specializes in fault diagnosis, system optimization, atmospheric turbulence analysis, and chaotic dynamics, developing innovative solutions for industrial and scientific applications. Her work in chaotic secure communication enhances data security, while her research on nonlinear system behaviors contributes to improved automation control methods. Dr. Zhang has extensively studied detection and control systems, integrating artificial intelligence to improve their efficiency and accuracy. She also investigates atmospheric turbulence and its chaotic characteristics, providing new insights into complex environmental and industrial processes. Her research is highly interdisciplinary, bridging automation, AI, and nonlinear dynamics. With a strong publication record in top-tier journals, she continues to push the boundaries of innovation in control systems, intelligent automation, and cybersecurity, making significant contributions to both academia and industry.

Publications

“Analysis of Chaotic Secure Communication Based on Nonlinear System Theory”
📄 “Detection and Control of Atmospheric Turbulence Using AI-Based Optimization Models”
📄 “Fault Diagnosis and Intelligent Control in Industrial Automation Systems”
📄 “Nonlinear Dynamics in Complex Networks: A Chaotic Perspective”
📄 “System Optimization for Robust Control in Smart Manufacturing”
📄 “Artificial Intelligence-Based Strategies for Enhancing Secure Communication”
📄 “New Approaches in Machine Learning for Nonlinear System Identification”
📄 “Application of Deep Learning in Predictive Maintenance of Automation Systems”
📄 “Advanced Methods for Analyzing Chaotic Characteristics in Environmental Systems”
📄 “Integration of AI and Control Theory for Next-Generation Robotics”

Conclusion

Zhang Fangfang is an exceptional candidate for the Best Researcher Award, given her outstanding contributions to control science, automation, and artificial intelligence. Her extensive publication record, patents, and leadership in national projects reflect her impact on the field. To further solidify her global recognition, enhancing international collaborations and real-world industry applications could be beneficial. Nevertheless, her achievements in research, innovation, and education make her a highly deserving recipient of the award.

Zhangbao Xu | nonlinear control | Best Researcher Award

Assoc. Prof. Dr. Zhangbao Xu | nonlinear control | Best Researcher Award

Associate Professor at Fuyang Normal University, China

Zhangbao Xu is an Associate Professor at Fuyang Normal University, China, specializing in high-accuracy servo control, adaptive control, and intelligent mechatronic systems. He earned his Ph.D. in Mechanical Engineering from Nanjing University of Science and Technology in 2017 and has over 20 publications in prestigious journals like IEEE Transactions on Industrial Electronics and IEEE/ASME Transactions on Mechatronics. He has served as a guest editor for Electronics and Actuators. His research integrates robust and intelligent control strategies for mechatronic applications.

Publication Profile

scopus

Education 🎓

Ph.D. in Mechanical Engineering (2017) – Nanjing University of Science and Technology, China B.S. in Mechanical Engineering and Automation (2012) – Huaqiao University, Xiamen, China

Experience 💼

Associate Professor (2023–Present) – School of Computer and Information Engineering, Fuyang Normal University, China Postdoctoral Researcher (2021–2023) – Nanjing University of Aeronautics and Astronautics, China Lecturer (2017–2023) – School of Mechanical Engineering, Anhui University of Technology, China

Awards and Honors 🏆

Guest Editor – Electronics, Actuators Published in Top Journals – IEEE Transactions on Industrial Electronics, IEEE Transactions on Automation Science and Engineering Recognition for Research Contributions – High-impact publications in mechatronics, control systems, and intelligent automation

Research Focus 🔬

Zhangbao Xu’s research centers on high-accuracy servo control, adaptive control, robust control, and intelligent control for mechatronic systems, emphasizing real-time applications, precision engineering, and industrial automation. 🚀

Publications 📖

🔹 Total Publications: 7+ in top-tier journals 📚
🔹 Total Citations: 54+ (as per listed articles) 📈
🔹 Key Focus Areas: Adaptive control, prescribed performance control, robust servo systems ⚙️

📌 Notable Papers & Impact

Barrier Lyapunov Function-Based Adaptive Output Feedback Prescribed Performance Controller for Hydraulic Systems (2023) – 38 citations
Observer-Based Prescribed Performance Adaptive Neural Output Feedback Control (2023) – 15 citations
Adaptive Prescribed Performance Output Feedback Control for Full-State-Constrained DC Motors (2024) – 1 citation
RISE-Based Asymptotic Adaptive Prescribed Performance Control for DC Motors (2025) – Newly published

His research spans industrial automation, nonlinear system control, and mechatronics, with strong contributions in IEEE Transactions and European Journal of Control. 🚀

Conclusion 🎯

Zhangbao Xu is a highly promising candidate for the Best Researcher Award due to his exceptional research in control systems, strong academic foundation, and significant contributions through publications and editorial roles. To strengthen his candidacy further, expanding his international network, increasing research citations, and fostering industry ties would further elevate his influence and recognition.

Dr. Yong Wang | computational Award | Best Researcher Award

Dr. Yong Wang | computational Award | Best Researcher Award

Dr. Yong Wang, Zhejiang University, China

Dr. Yong Wang is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

orcid

🎓 Teaching and Tutoring

Jury for International Biosensor Competition: SensUs 2023 (2023)Supervisor for TruSense, Zhejiang University (2021-)Teacher for Ingenious Synthetic Biology, Zhejiang University (2022-)Teaching Assistant for Advanced Protein Science 2 – Protein Structure Determination (graduate course), University of Copenhagen (2020, 2019)Teaching Assistant for Advanced Protein Science (graduate course), University of Copenhagen (2015)Tutor for Postdoc, PhD, MSc, and BSc students.

📝 Editorial Roles

Academic Editor for PLoS One (2023-)Associate Editor for Frontiers in Molecular Biosciences (2021-)Editorial Board Member of Peer J (2023-)Ad Hoc Young Editorial Board Member of Journal of Molecular Cell Biology (JMCB) (2020-)Second Youth Editorial Board Member of Asian Journal of Pharmaceutical Sciences (2023-)

🔍 Reviewer

Journal Reviewer for prestigious journals.Grant Reviewer for the Dutch Research Council (NWO) Computational Grants.

👥 Memberships

Member of the PLUMED ConsortiumMember of the American Society for Biochemistry and Molecular BiologyMember of Chinese Chemical Society

AWARDS & GRANTS🏆

Recognition for contributions:Zhejiang Provincial National Science Foundation (No. XXX) (300 K ¥) 2024-2026National Science Foundation of China (No. 32371300) (500 K ¥) 2024-2027Start-up funding of Zhejiang University (4.0 M ¥) 2021-2027National Key R & D Program of China (No. 2021YFF1200404) (4.55 M ¥) 2021-2024Fundamental Research Funds for the Central Universities of China (No. K20220228) (900 K ¥) 2022-2024HPC-Europa3 Transnational Access program for visiting Max Planck Institute for Biophysical Chemistry Spring of 2020EMBO Short-term Fellowship for visiting Prof. Michele Parrinello lab at ETH Zurich, Switzerland Spring of 2016The PhD Scholarship at the Department of Biology, University of Copenhagen (2013-2016)

Citations: 1547

h-index: 23

i10-index: 31

And if we consider the second set:

Citations: 1074

h-index: 21

i10-index: 30

📖 Publications  Top Note :

A Computational and Chemical Design Strategy for Manipulating Glycan-Protein Recognition

Q Zhu, D Geng, J Li, J Zhang, H Sun, Z Fan, J He, N Hao, Y Tian, L Wen, …

Advanced Science, 2024

Diverse roles of the metal binding domains and transport mechanism of copper transporting P-type ATPases

Z Guo, F Orädd, V Bågenholm, C Grønberg, JF Ma, P Ott, Y Wang, …

Nature Communications, 2609, 2024

Dissecting the mechanism of atlastin-mediated homotypic membrane fusion at the single-molecule level

L Shi, C Yang, M Zhang, K Li, K Wang, L Jiao, R Liu, Y Wang, M Li, …

Nature Communications, 2488, 2024

Euglena’s atypical respiratory chain adapts to the discoidal cristae and flexible metabolism

Z He, M Wu, H Tian, L Wang, Y Hu, F Han, J Zhou, Y Wang, L Zhou

Nature Communications, 1628, 2024

Structures and ion transport mechanisms of plant high-affinity potassium transporters

J Wang, Y Luo, F Ye, ZJ Ding, SJ Zheng, S Qiao, Y Wang, J Guo, W Yang, …

Molecular Plant, 2024

Structural basis for sugar perception by Drosophila gustatory receptors

D Ma, M Hu, X Yang, Q Liu, F Ye, W Cai, Y Wang, X Xu, S Chang, R Wang, …

Science, eadj2609, 2024

PAFAH2 suppresses synchronized ferroptosis to ameliorate acute kidney injury

Q Zhang, T Sun, F Yu, W Liu, J Gao, J Chen, H Zheng, J Liu, C Miao, …

Nature Chemical Biology, 1-12, 2024

Structure and mechanism of Zorya anti-phage defense system

H Hu, TCD Hughes, PF Popp, A Roa-Eguiara, FJO Martin, N Rutbeek, …

bioRxiv, 1, 2024

The effect of linker conformation on performance and stability of a two-domain lytic polysaccharide monooxygenase

Z Forsberg, AA Stepnov, G Tesei, Y Wang, E Buchinger, SK Kristiansen, …

Journal of Biological Chemistry, 299 (11), 2023

Ex vivo structures from spinach leaves

J Wang, NT Johansen, LF Gamon, Z Zhao, Z Guo, Y Wang, AT Fuglsang, …

biorxiv, 2023