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

Yang Liu – molecular dynamics – Best Researcher Award

Yang Liu - molecular dynamics - Best Researcher Award

Sichuan university - China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Yang Liu's academic journey commenced at the University of Electronic Science and Technology of China (UESTC), where he earned his Bachelor's and Master's degrees in Mechanical and Electronic Engineering, respectively. He furthered his education with specialized training programs at Tsinghua University and continued to excel in molecular dynamics.

PROFESSIONAL ENDEAVORS

Yang Liu has undertaken significant roles in prestigious institutions worldwide. From his Ph.D. at the University of Groningen under the guidance of Prof. Dr. Siewert J. Marrink to his postdoctoral fellowships at the Chinese University of Hong Kong and the University of Groningen, he has consistently pursued excellence in molecular dynamics research.

CONTRIBUTIONS AND RESEARCH FOCUS

Yang Liu's research focuses on the development and application of molecular dynamics simulations in various fields, including biological liquid-liquid phase separation, drug carrier systems, and anti-cancer drug development. His representative publications demonstrate his expertise in capturing complex phenomena at the molecular level.

IMPACT AND INFLUENCE

As evidenced by his extensive publication record and conference presentations, Yang Liu has made a significant impact on the field of molecular dynamics. His research contributions have advanced our understanding of fundamental biological processes and have the potential to inform the development of novel therapeutics and materials.

ACADEMIC CITES

Yang Liu's publications have garnered considerable attention within the scientific community, with several articles featured on journal covers and cited extensively. His work at the intersection of molecular dynamics and biophysics has earned recognition for its innovation and relevance to addressing critical research questions.

LEGACY AND FUTURE CONTRIBUTIONS

Yang Liu's legacy in the field of molecular dynamics is characterized by his dedication to pushing the boundaries of simulation techniques and their applications. As he continues to explore new frontiers in molecular dynamics research, his contributions will undoubtedly shape the future of biophysics and materials science.

NOTABLE PUBLICATION

Hot-press melt-assembly anisotropic porous structure with enhanced radiative cooling 2024

Unraveling the influence of aromatic endcaps in peptide self-assembly 2024

Polymersomes in Drug Delivery─From Experiment to Computational Modeling 2024 (4)