Dr. Zisheng Guo | Algorithm Development | Best Researcher Award

Dr. Zisheng Guo | Algorithm Development – beijing university of technology, China

Dr. Zisheng Guo is a distinguished researcher and academic from Beijing University of Technology, specializing in harmonic magnetic fields, targeted magnetic moment enhancement, and magnetic field focusing techniques. His research primarily focuses on the application of advanced magnetic sensing methods for the detection of defects in steel pipes, particularly in challenging environments. With a strong background in innovative engineering solutions, Dr. Guo has developed novel systems for real-time defect detection, which have practical implications in industries like construction, oil and gas, and civil infrastructure. His contributions have led to improvements in detection accuracy, especially for pipes with large burial depths or thick cladding. With multiple publications and active involvement in cutting-edge research, Dr. Guo is making a significant impact in the field of magnetic sensing technologies.

Profile:

Scopus

Education:

Dr. Zisheng Guo holds a Ph.D. in Engineering, obtained from Beijing University of Technology, where he specialized in electromagnetic technology and sensor systems. His academic journey began with a Bachelor’s degree in Electrical Engineering, followed by a Master’s in Electromagnetic Field and Microwave Technology. Through his doctoral research, he developed a keen interest in magnetic field applications for material defect detection. His doctoral thesis focused on improving the accuracy and reliability of steel pipe defect detection using novel magnetic field techniques, laying the groundwork for his future research endeavors. Throughout his educational career, Dr. Guo’s work has been marked by innovation and a commitment to advancing practical engineering solutions, contributing significantly to the field of nondestructive testing.

Professional Experience:

Dr. Zisheng Guo currently serves as a faculty member and researcher at Beijing University of Technology. He has accumulated extensive experience in both academia and industry. As a leading researcher in electromagnetic technology, Dr. Guo has been involved in various collaborative research projects, bridging the gap between theoretical principles and real-world applications. His work on magnetic field sensing has been pivotal in solving industry-specific problems, particularly in the nondestructive testing of industrial materials such as steel pipes. Over the years, he has worked with industry partners to refine his detection systems, focusing on steel pipe integrity monitoring, ensuring safety in engineering systems. His teaching experience includes guiding graduate students and contributing to the development of new courses related to electromagnetic theory and sensor technologies.

Research Interests:

Dr. Zisheng Guo’s research interests are centered on electromagnetic sensing, specifically in the use of harmonic magnetic fields and targeted magnetic moments for material defect detection. His work has contributed significantly to the development of targeted magnetic field focusing techniques and spatial distance tracking algorithms to enhance detection systems. His primary research focus is on improving the detection of defects in steel pipes, particularly under extreme conditions such as deep burial or thick cladding. His innovative approaches, including a novel harmonic inner product correlation layer for data matching, aim to address challenges in achieving high detection clarity and accuracy. Dr. Guo is also interested in the broader applications of magnetic sensing in infrastructure and industrial safety, seeking to contribute practical solutions for various engineering challenges.

Awards:

Dr. Zisheng Guo has received numerous accolades for his groundbreaking work in electromagnetic sensing and nondestructive testing technologies. His research on steel pipe defect detection has earned recognition in both academic and industrial circles, with multiple awards for innovation in sensor system design. Notably, his novel approach to enhancing detection height and clarity in extreme conditions has been lauded by engineering communities. Dr. Guo has been awarded prestigious academic honors, including funding for research projects and recognition for contributions to the development of advanced magnetic field detection methods. His research has also been published in leading journals, and he has been invited to present his findings at various international conferences, further solidifying his reputation as an expert in the field.

Publications:

A non-excavation detection method for buried PE pipelines based on 3D time-domain stacking focusing of elastic wave reflection
👤 Y. Qi, X. Wang, L. Yang, Y. Wang, Z. Guo | 📖 Measurement Science and Technology | 🌍 2024 🌟

Assist Prof Dr. Haitao GE | Algorithm Development | Young Scientist Award

Assist Prof Dr. Haitao GE | Algorithm Development – Chang’an University, China

Prof. Dr. Haitao GE is an Assistant Professor at Chang’an University, China, specializing in transportation engineering. He holds a Ph.D. from the University of Strasbourg, France, awarded in 2023. Prof. GE is recognized for his expertise in pavement engineering, computational mechanics, and tire-pavement interaction. His research integrates multi-scale numerical simulations to address issues of asphalt pavement deterioration, with a focus on optimizing road surfaces amid growing traffic demands and aging infrastructure. He has led numerous key transportation research projects between China and France and has made significant contributions to both academic and industry sectors. Prof. GE has been a youth editorial board member of the Journal of Highways and Automotive Transport and has actively reviewed for over 10 journals and conferences. A multilingual scholar, he has delivered keynote talks at numerous international conferences and built strong collaborations with French transportation universities and research institutions.

Profile:

Orcid | Scopus

Education:

Prof. Dr. Haitao GE earned his Ph.D. in Civil Engineering from the University of Strasbourg, France, in 2023. Prior to this, he completed his undergraduate and Master’s degrees in Civil Engineering at prominent institutions in China. During his doctoral studies, Prof. GE focused on the tire-pavement interaction system, utilizing both the Finite Element Method (FEM) and the Discrete Element Method (DEM) to study multi-scale interactions in pavement engineering. His doctoral research provided groundbreaking insights into pavement surface deterioration mechanisms and paved the way for enhanced asphalt pavement design. Prof. GE’s academic journey in France not only honed his technical skills but also enabled him to develop cross-cultural and international research collaborations, which are a hallmark of his current work. His commitment to advancing the field of transportation engineering is reflected in his innovative approach to addressing complex infrastructure challenges, both in academia and industry.

Professional Experience:

Prof. Dr. Haitao GE is an Assistant Professor at Chang’an University, China, where he applies his extensive research experience to both teaching and academic projects. His professional career spans a range of roles in both China and France, where he has contributed to key transportation research collaborations. Prof. GE has co-led over nine major international research projects involving China and France, focusing on advanced numerical simulations in pavement engineering and tire-pavement interaction. His role in leading these projects has reinforced his expertise in both computational mechanics and practical applications in transportation infrastructure. Additionally, Prof. GE has served as a reviewer for over 10 prestigious academic journals and conferences. His leadership in the field is further recognized by his appointment to the youth editorial board of the Journal of Highways and Automotive Transport. Prof. GE’s academic contributions extend beyond research, as he actively contributes to shaping the future of pavement engineering and transportation systems.

Research Interests:

Prof. Dr. Haitao GE’s primary research interests lie in pavement engineering, computational mechanics, and tire-pavement interaction. His work focuses on utilizing advanced numerical simulation techniques, particularly the Finite Element Method (FEM) and Discrete Element Method (DEM), to model and understand the complex interaction between tires and pavement surfaces. As traffic volume continues to rise globally, one of the main challenges in transportation infrastructure is the deterioration of asphalt pavements. Prof. GE’s research aims to address this issue by exploring the mechanisms behind pavement surface degradation and improving pavement design to optimize performance and longevity. By incorporating multi-scale simulation methods, he seeks to bridge the gap between theoretical models and practical applications in real-world road networks. His research plays a crucial role in ensuring that roads can withstand increasing traffic loads while maintaining cost-effective maintenance strategies, which is critical in today’s rapidly developing infrastructure systems.

Awards:

Prof. Dr. Haitao GE has received several prestigious awards throughout his academic career, highlighting his outstanding contributions to transportation engineering. He is the recipient of the 13th Abertis Prize, becoming the first Chinese scholar to receive this honor, which was awarded to him by former Spanish Prime Minister Elena Salgado. This achievement was also featured in a special feature by Changjiang Daily, a major national news outlet in China. Prof. GE’s remarkable research has also earned him recognition at multiple international academic conferences, where he has received five academic awards, underscoring his significant impact on the field of pavement engineering. Additionally, Prof. GE has been selected for China’s prestigious Overseas Talent Recruitment Program, further solidifying his reputation in the global research community. His success as a researcher is matched by his commitment to the advancement of knowledge, as demonstrated by his active participation in international collaborations and his extensive publication record.

Publications:

From macro to micro: investigation of three-dimensional particle-scale responses of asphalt mixtures under non-uniform rolling tire loads via coupled FEM-DEM simulations
👤 Haitao Ge, Juan Carlos Quezada, Vincent Le Houerou, Cyrille Chazallon, Aimin Sha | 📖 Road Materials and Pavement Design | 🌍 2025 | March 18 | DOI: 10.1080/14680629.2025.2478617 🌟🎓💼

Investigation of Particle-Scale Responses of Asphalt Mixtures Under Non-uniform Rolling Tire Loads
👤 Haitao Ge, Juan Carlos Quezada, Vincent Le Houerou, Cyrille Chazallon | 📖 Book Chapter | 🌍 2024 | DOI: 10.1007/978-3-031-67252-1_51 🌟🎓

A new tire-sensor-pavement coupling chain for investigating asphalt mixture responses under rolling tire loads
👤 Haitao Ge, Juan Carlos Quezada, Vincent Le Houerou, Cyrille Chazallon, Pierre Hornych | 📖 Road Materials and Pavement Design | 🌍 2023 | April 25 | DOI: 10.1080/14680629.2023.2180833 🌟🎓💼

Three-dimensional FEM–DEM coupling simulation for analysis of asphalt mixture responses under rolling tire loads
👤 Haitao Ge, Juan Carlos Quezada, Vincent Le Houerou, Cyrille Chazallon | 📖 Construction and Building Materials | 🌍 2023 | March | DOI: 10.1016/j.conbuildmat.2023.130615 🌟🎓💼

Three-Dimensional Fem-Dem Coupling Simulation for Analysis of Asphalt Mixture Responses Under Rolling Tire Loads
👤 Haitao Ge, Cyrille Chazallon, Juan Carlos Quezada, Vincent Le Houerou | 📖 SSRN | 🌍 2022 | EID: 2-s2.0-85134217262 | ISSN: 15565068 🌟🎓

Multiscale analysis of tire and asphalt pavement interaction via coupling FEM–DEM simulation
👤 Haitao Ge, Juan Carlos Quezada, Vincent Le Houerou, Cyrille Chazallon | 📖 Engineering Structures | 🌍 2022 | April | DOI: 10.1016/j.engstruct.2022.113925 🌟🎓💼