SHAN GUO – Modeling and Simulation of Biological Systems – Best Researcher Award

SHAN GUO - Modeling and Simulation of Biological Systems - Best Researcher Award

Institute of Robotics and Automatic Information Systems - China

AUTHOR PROFILE

SCOPUS

EDUCATION AND RESEARCH JOURNEY:

SHAN GUO pursued a Bachelor’s degree in Intelligent Science and Technology from Nankai University’s College of Information Technology Science (2008-2012). This was followed by a Master’s degree in Pattern Recognition and Intelligent System from the College of Computer and Control Engineering at Nankai University (2012-2015). Shan completed a Doctorate in Control Science and Engineering from the College of Artificial Intelligence at Nankai University (2015-2021). Since October 2021, Shan has been a Postdoctoral Fellow and Assistant Research Fellow at the same institution, studying under Professor Xin Zhao.

RESEARCH INTERESTS AND PROJECTS:

SHAN GUO’s research focuses on biological system modeling and simulation. Key interests include the mechanism of biological pattern formation and the combination of computer simulation with micro/nano cell operations. Shan has been a key member and participant in several significant scientific research projects funded by the Ministry of Science and Technology and the National Key R&D Program of China, including precise injection regulation of retinal drug fluids and technologies for micro/nano-manipulating robots.

PATENTS AND INNOVATIONS:

SHAN GUO has co-authored a patent on the establishment of developmental patterns of neuronal dendritic spines based on the reaction-diffusion model (CN112582069A). This patent, developed in collaboration with Xin Zhao, Yiqing Jia, Qili Zhao, and Mingzhu Sun, highlights Shan's contributions to innovative scientific advancements.

ACHIEVEMENTS AND AWARDS:

Throughout the academic journey, SHAN GUO has received recognition for significant contributions to research in biological system modeling. Participation in national and international conferences, such as the IEEE International Conference on Robotics and Biomimetics (ROBIO) and the IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), has further established Shan's prominence in the field.

SCIENTIFIC RESEARCH PROJECTS:

SHAN GUO has been instrumental in several high-impact research projects. These include the National Key R&D Program of China's project on retinal drug fluid injection regulation (2022-2025) and the development of position-invariant micro-analysis and micro-manipulation equipment for life sciences, demonstrating a commitment to advancing technological and scientific frontiers.

COLLABORATIVE RESEARCH EFFORTS:

Working closely with peers and mentors, SHAN GUO’s collaborative efforts have resulted in numerous publications and patents. This teamwork has been essential in pushing the boundaries of knowledge in biological pattern formation and intelligent system simulations, contributing significantly to the scientific community.

NOTABLE PUBLICATION

Mechanical Force Estimation Based on Visual Cell Deformation and Improved Point-Load Model
Authors: Zhang, Y., Sun, Y., Guo, S., Zhao, X., Liu, Y.
Year: 2023
Journal: IEEE Transactions on Instrumentation and Measurement

Wavelength of a Turing-type mechanism regulates the morphogenesis of meshwork patterns
Authors: Guo, S., Sun, M.-Z., Zhao, X.
Year: 2021
Journal: Scientific Reports

Reaction–Diffusion Model-Based Research on Formation Mechanism of Neuron Dendritic Spine Patterns
Authors: Jia, Y., Zhao, Q., Yin, H., Yang, Z., Zhao, X.
Year: 2021
Journal: Frontiers in Neurorobotics

Mechanisms of branch tip fusion in meshwork patterns
Authors: Guo, S., Sun, M.-Z., Zhao, X.
Year: 2021
Conference: Proceedings of the 16th Annual IEEE International Conference on Nano/Micro Engineered and Molecular Systems, NEMS 2021

A way for regulating branch tip fusion behavior based on Turing mechanism
Authors: Guo, S., Liu, Y.
Year: 2021
Conference: 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021

Ying Zhao – Switched Systems – Best Researcher Award

Ying Zhao - Switched Systems - Best Researcher Award

Dalian Maritime University - China

AUTHOR PROFILE

SCOPUS

ASSOCIATE PROFESSOR AT DALIAN MARITIME UNIVERSITY

Dr. Ying Zhao is an esteemed Associate Professor at Dalian Maritime University, China, specializing in Switched Systems and data-driven control. His research focuses on aero-engine control systems, multi-agent systems, and unmanned maritime vehicles, combining theoretical insights with practical applications to advance these fields.

RESEARCH FELLOW IN CONTROL SCIENCE AND ENGINEERING

As a Research Fellow at Dalian University of Technology, Dr. Zhao is dedicated to enhancing aero-engine control systems and developing bumpless transfer control designs. His work addresses complex issues such as multiple disturbances and control challenges, contributing significantly to the field of control science.

PH.D. IN CONTROL SCIENCE

Dr. Zhao earned his Ph.D. from Northeastern University, China, where he focused on switched systems, transient performance, and aero-engine control design. His doctoral research received commendation for its innovation and practical impact on control system design.

FUNDED RESEARCH PROJECT MANAGER

Dr. Zhao has managed several prestigious research projects, including the Youth Fund of the National Natural Science Fund, the National Natural Science Foundation of China, and Liaoning Provincial Natural Science Foundation projects. His research addresses advanced control design for switched systems, intelligent ship dynamic positioning, and multimodal active safety for high-performance aero engines.

PROLIFIC AUTHOR AND PUBLISHER

Dr. Zhao has published extensively in renowned journals, including IEEE Transactions and Fuzzy Sets and Systems. His notable works cover topics such as anti-disturbance switching control, dynamic event-triggered performance, and adaptive anti-disturbance control, reflecting his expertise and contribution to control science.

INTERNATIONAL RESEARCH IMPACT

Dr. Zhao’s research has had a global impact, with publications in international journals and collaboration with researchers worldwide. His work on anti-disturbance control and dynamic positioning for unmanned marine vehicles has advanced understanding and solutions in these critical areas.

RECOGNIZED SCHOLAR

Dr. Zhao’s contributions to control science and engineering have been recognized through numerous grants and awards. His innovative research and leadership in the field continue to drive advancements and inspire future developments in control systems and applications.

NOTABLE PUBLICATION

Reachable set estimation for switched T-S fuzzy systems with a switching dynamic memory event-triggered mechanism
Authors: Wu, D., Zhao, Y., Sang, H., Yu, S.
Year: 2024
Journal: Fuzzy Sets and Systems

Dynamic memory event-triggered dynamic positioning for nonlinear mass-switched unmanned marine vehicles
Authors: Zhao, Y., Guo, S., Huang, J., Yu, S.
Year: 2024
Journal: Ocean Engineering

Composite anti-disturbance dynamic positioning for mass-switched unmanned marine vehicles with multisource disturbances and actuator saturation: A switched model method
Authors: Zhao, Y., Lin, F., Yu, S.
Year: 2024
Journal: Journal of the Franklin Institute

Path planning and obstacle avoidance control of UUV based on an enhanced A* algorithm and MPC in dynamic environment
Authors: Li, X., Yu, S., Gao, X.-Z., Yan, Y., Zhao, Y.
Year: 2024
Journal: Ocean Engineering

Fixed-time sliding mode trajectory tracking control for marine surface vessels under mismatched conditions and input saturation
Authors: Zhang, J., Yu, S., Yan, Y., Zhao, Y.
Year: 2024
Journal: International Journal of Robust and Nonlinear Control