Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award 

 Assoc Prof Dr Zhongxiang Liu,Associate Researcher, Southeast University,China

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, Nanjing, China. He has a strong background in structural engineering, with substantial experience in academia and research. His international exposure includes postdoctoral research at Columbia University and a visiting scholarship at Virginia Tech in the USA. With multiple editorial roles and contributions to international journals, Liu has established himself as a distinguished researcher in structural health monitoring and smart city infrastructure. He has received prestigious awards for his contributions to civil and structural engineering and is dedicated to advancing resilient and sustainable engineering solutions.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, with a Ph.D. in Structural Engineering from Southeast University, China. He has a robust academic background, having completed postdoctoral research at Columbia University and held a visiting scholar position at Virginia Tech. His research expertise lies in structural health monitoring, resilient structures for smart cities, and dynamic analysis of offshore structures. Liu is recognized for his prolific contributions as a guest editor for multiple high-impact journals and has received several prestigious awards, including the Science and Technology Progress Award of China and the Gold Medal at the International Exhibition of Inventions of Geneva.

Education

Zhongxiang Liu earned his Ph.D. in Structural Engineering from Southeast University, Nanjing, China, in 2019. Prior to that, he completed his M.S. in Structural Engineering at the same institution in Chongqing, China, in 2015. He holds a B.S. in Civil Engineering from Chongqing University, Chongqing, China, awarded in 2012. His strong academic foundation has provided him with the necessary expertise to excel in structural health monitoring, offshore structure dynamics, and novel sensing technologies for smart cities.

Work Experience

Liu has been serving as an Associate Professor at Southeast University, Nanjing, China, since February 2021. Before this, he was a Postdoctoral Research Fellow at Columbia University, USA, from November 2019 to November 2020. He also gained valuable international experience as a Visiting Scholar at Virginia Tech, USA, from November 2016 to November 2017. His work in these roles has focused on structural health monitoring, dynamic analysis of offshore structures, and the application of resilient engineering technologies in urban infrastructure.

Skills

Zhongxiang Liu specializes in structural health monitoring, offshore structure analysis, and resilient urban infrastructure. His skills extend to advanced hydro- and aero-dynamic analysis, condition assessment of bridges, and novel sensing technologies for smart city applications. He has editorial and review expertise for high-impact journals, as well as experience in conducting performance evaluations of structural systems. His proficiency in combining these skills to address practical engineering challenges makes him a versatile researcher and educator in the field of civil engineering.

Awards and Honors

Liu has received numerous prestigious awards, including the First Prize in the Science and Technology Progress Award of Jiangsu, China (2022) and the Grand Prize from the China Highway and Transportation Society (2022). His research was recognized internationally, earning the Gold Award with congratulations from the Jury at the 48th International Exhibition of Inventions of Geneva in 2023. Liu was also honored with the Liu Huixian Earthquake Engineering Scholarship Award (2019), as well as several National Scholarships from the Ministry of Education of China during his doctoral and master’s studies.

Membership

Zhongxiang Liu is actively involved in the academic community, serving as a guest editor for multiple journals including Materials (MDPI), Applied Sciences (MDPI), and Modelling (MDPI). He is a Youth Editorial member for the International Journal of Structural Integrity and Journal of Disaster Prevention and Mitigation Engineering. In addition, he reviews for more than 20 international journals in the fields of structural engineering and performance evaluation, further establishing his expertise and influence in the field.

Teaching Experience

As an Associate Professor at Southeast University, Liu is involved in teaching and mentoring students in advanced structural engineering concepts. His international experience at prestigious institutions such as Columbia University and Virginia Tech enriches his teaching, allowing him to incorporate a global perspective into his lectures. He guides students in the fields of structural health monitoring, offshore structures, and smart city technologies, preparing the next generation of engineers to tackle modern infrastructure challenges with innovative solutions.

Research Focus

Liu’s research primarily focuses on structural health monitoring and the condition assessment of bridges, along with hydro- and aero-dynamic analysis of offshore structures. His work emphasizes resilient infrastructure solutions, particularly in the context of smart cities. By developing novel sensing technologies and resilient structural designs, Liu aims to enhance urban infrastructure’s longevity and safety. His research also explores the control and evaluation of dynamic responses in offshore structures, contributing to advancements in both civil engineering and sustainable urban development.

Publication top Notes:

 

Dr Naifeng He | Applications of Sensors| Best Researcher Award

Dr Naifeng He | Applications of Sensors| Best Researcher Award 

Dr Naifeng He, Nanjing University of Aeronautics and Astronautics,China

He Naifeng is a dedicated PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics. Specializing in motion control and navigation of wheel-legged mobile robots, his research integrates traditional control techniques with reinforcement learning to enhance robotic autonomy in dynamic environments.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

He Naifeng, a PhD candidate at the School of Automation, Nanjing University of Aeronautics and Astronautics, specializes in motion control and navigation of wheel-legged mobile robots. His innovative research integrates traditional control techniques with reinforcement learning, significantly enhancing the autonomy and agility of mobile robots in dynamic environments. With several published articles and a pending patent, He Naifeng demonstrates a commitment to advancing the field of robotics.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

As a PhD candidate, He Naifeng is actively involved in cutting-edge research projects focused on optimizing navigation systems for wheel-legged robots. His work includes consultancy projects that apply advanced navigation algorithms in industrial inspection settings, showcasing his ability to translate research into real-world solutions.

Skills

He possesses a robust skill set that includes motion control system design, reinforcement learning applications, and path planning for autonomous systems. His expertise in integrating traditional control methods with advanced machine learning techniques positions him as a valuable asset in the field of robotics.

Awards and Honors

He Naifeng’s research has garnered recognition, including publications in prominent journals such as Sensors and Actuators. He is also in the process of patenting a dynamic obstacle avoidance control system for wheel-legged robots, reflecting his innovative contributions to the field.

Membership

He is an active member of professional organizations related to automation and robotics, facilitating collaborations and networking opportunities within the scientific community. His membership underscores his commitment to staying at the forefront of advancements in his field.

Teaching Experience

He Naifeng has experience in guiding students and peers through complex topics in automation and robotics. His ability to communicate intricate concepts effectively makes him a respected figure among his colleagues and students.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

A Supervised Reinforcement Learning Algorithm for Controlling Drone Hovering

A Self-Adaptive Double Q-Backstepping Trajectory Tracking Control Approach Based on Reinforcement Learning for Mobile Robots

A State-Compensated Deep Deterministic Policy Gradient Algorithm for UAV Trajectory Tracking

Adaptive PID Trajectory Tracking Algorithm Using Q-Learning for Mobile Robots