Zisheng Guo | Algorithm Development | Best Researcher Award

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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 🌟

Haitao GE | Algorithm Development | Young Scientist Award

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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 🌟🎓💼

Youmna Iskandarani | Machine Learning | Best Researcher Award

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Ms. Youmna Iskandarani l Machine Learning | Best Researcher Award

American University of Beirut, Lebanon

Author Profile

Orcid

EARLY ACADEMIC PURSUITS 🎓

Youmna Iskandarani’s academic journey laid a robust foundation for her career in food science and technology. She earned her Bachelor’s degree in Dietetics and Clinical Nutrition Services from Lebanese International University, followed by a Bachelor of Applied Science in Food Science and Technology. Building on this knowledge, she pursued a Master of Science in Food Science and Technology, which further refined her expertise in food processing, safety, and research. During her studies, she also explored economics, expanding her understanding of the broader socio-economic factors influencing food systems.

PROFESSIONAL ENDEAVORS 💼

Youmna’s professional trajectory spans over a decade and includes a wealth of experience in community development, food technology, and business development. As the founder of Ossah Taybeh, a food heritage initiative, she has demonstrated her leadership in promoting sustainable food practices. Additionally, her role as a business development consultant and food expert for various organizations, including the World Food Programme (WFP) and UNDP, highlights her expertise in improving the socio-economic conditions of small and medium enterprises (SMEs) in Lebanon. Youmna has also worked with institutions like the American University of Beirut, where she contributed to food safety training, product development, and innovative food solutions. Her consulting work for international organizations and governments underscores her technical expertise in food processing, quality control, and business strategy.

CONTRIBUTIONS AND RESEARCH FOCUS  On  Machine Learning🔬

Throughout her career, Youmna has been at the forefront of several groundbreaking projects in food science and technology. She has published significant research, including studies on ADHD and nutrition, the production procedures of labneh anbaris (a traditional Lebanese yogurt), and food security. Her research in food safety, quality control, and food product development, especially in the dairy sector, has made substantial contributions to understanding the physicochemical properties of traditional food products. Additionally, her work in food safety, particularly related to cross-contamination prevention and dairy production processes, has helped improve the standards of food processing in Lebanon and beyond.

IMPACT AND INFLUENCE 🌍

Youmna’s impact extends far beyond her professional roles; she has become a key figure in advancing food safety and quality practices in Lebanon. As a consultant and trainer, she has helped develop and implement strategies that enhance the livelihoods of farmers and small business owners in rural and urban communities. Her work with the International Labour Organization (ILO) and various NGOs has supported entrepreneurial initiatives aimed at creating sustainable economic opportunities. Her efforts in building the capacity of SMEs and promoting socially impactful business practices have earned her recognition as a leader in both the food industry and community development sectors. Moreover, her role as a mentor and trainer for aspiring entrepreneurs has inspired many to develop their own successful ventures.

ACADEMIC CITATIONS AND RECOGNITION 🏅

Youmna’s research has been widely cited in academic circles, contributing to the fields of food science and public health. Her work on the physicochemical properties of labneh anbaris and her studies in the areas of food security and nutrition have been valuable in shaping food safety protocols and product development in Lebanon. She is recognized for her expertise in food technology and food safety, as well as for her commitment to advancing the quality and sustainability of food production systems in Lebanon and the broader region. Her contributions have made her a sought-after consultant and expert in various food safety and quality assurance projects.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Youmna Iskandarani is poised to continue making meaningful contributions to the fields of food science, business development, and community empowerment. Her passion for sustainability and rural development, combined with her technical expertise in food safety and quality assurance, will continue to guide her efforts in enhancing food systems and promoting socio-economic growth. Her vision for the future includes empowering more women and SMEs in the agri-food sector, improving the resilience of local food production systems, and advocating for healthier, safer, and more sustainable food practices. Youmna’s legacy will be built on her commitment to food security, innovation, and the betterment of her community and the global food industry.

 Top Noted Publications 📖

Microbial Quality and Production Methods of Traditional Fermented Cheeses in Lebanon

Authors: Mabelle Chedid, Houssam Shaib, Lina Jaber, Youmna El Iskandarani, Shady Kamal Hamadeh, Ivan Salmerón
Journal: International Journal of Food Science
Year: 2025

Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties

Authors: Ossama Dimassi, Youmna Iskandarani, Houssam Shaib, Lina Jaber, Shady Hamadeh
Journal: Fermentation
Year: 2024

Development and Validation of an Indirect Whole-Virus ELISA Using a Predominant Genotype VI Velogenic Newcastle Disease Virus Isolated from Lebanese Poultry

Authors: Houssam Shaib, Hasan Hussaini, Roni Sleiman, Youmna Iskandarani, Youssef Obeid
Journal: Open Journal of Veterinary Medicine
Year: 2023

Effect of Followed Production Procedures on the Physicochemical Properties of Labneh Anbaris

Authors: Ossama Dimassi, Youmna Iskandarani, Raymond Akiki
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020

Production and Physicochemical Properties of Labneh Anbaris, a Traditional Fermented Cheese Like Product, in Lebanon

Authors: Ossama Dimassi, Youmna Iskandarani, Michel Afram, Raymond Akiki, Mohamed Rached
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020

Amin Hekmatmanesh | Algorithm Development | Best Researcher Award

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Dr. Amin Hekmatmanesh l Algorithm Development  | Best Researcher Award

LUT University, Finland

Author Profile

Google Scholar

🔎 Summary

Dr. Amin Hekmatmanesh is a skilled biomedical engineer and data scientist, specializing in wearable sensors, AI, and machine learning applications for health technologies. He has extensive experience in biosignal processing (EEG, ECG, PPG, EMG, GSR, IMU), rehabilitation robotics, and medical device development. With a Ph.D. in Mechanical Engineering (Biomedical Engineering), he has made significant contributions to the field by developing real-time systems for rehabilitation and health monitoring. His research focuses on using AI to advance rehabilitation robotics and human-robot interactions, publishing over 30 peer-reviewed articles. He is also an active reviewer and editorial board member for several high-ranking journals.

🎓 Education

Dr. Hekmatmanesh holds a Ph.D. in Mechanical Engineering (Biomedical Engineering) from LUT University in Finland, where he achieved a GPA of 4.33. His dissertation focused on artificial intelligence and machine learning for EEG signal processing in rehabilitation robotics. He also completed his M.Sc. in Biomedical Engineering at Shahed University in Iran, with a perfect GPA of 4.0, and a B.Sc. in Electrical Engineering from Islamic Azad University, graduating with a GPA of 4.1.

💼 Professional Experience

Dr. Hekmatmanesh has a diverse professional background, having worked as a Lead Project Manager at Mevea Company, where he managed health monitoring system projects, incorporating wearable sensor technology. At Flowgait Company, he contributed to mathematical solutions for horse motion analysis. As a Junior Researcher and Project Manager at LUT University, he focused on wearable sensor systems and health monitoring. Additionally, he worked as a Research Assistant at Tehran University, working on diagnostic algorithms and therapeutic systems in health technologies.

📚 Academic Citations

Dr. Hekmatmanesh has published over 30 peer-reviewed papers, including book chapters and review articles, and his work has contributed significantly to the biomedical engineering and AI fields. His research has received wide recognition, and he is regularly invited to participate in scientific conferences and review for high-impact journals, showcasing his influence and contributions to advancing health technologies.

🔧 Technical Skills

Dr. Hekmatmanesh is highly proficient in biosignal processing, including EEG, ECG, PPG, EMG, GSR, and IMU signals. He is skilled in machine learning and AI, specifically for biosignal classification and real-time system development. His technical expertise extends to embedded electronics, sensor design, and circuit board assembly. He is proficient in Python and Matlab for data analysis and has experience using version control tools like GitHub to manage research projects.

🎓 Teaching Experience

Dr. Hekmatmanesh has been actively involved in teaching and mentoring within the biomedical engineering field. He has supervised PhD students and contributed to academic programs by delivering lectures and guiding research projects in health technologies, machine learning, and rehabilitation robotics.

🔬 Research Interests On Algorithm Development

Dr. Hekmatmanesh’s research interests include the development of wearable sensor systems for health monitoring, AI and machine learning techniques for biosignal classification, and the design and control of rehabilitation robotics. He is also focused on human-robot interactions and improving prosthetics control through innovative AI applications in healthcare.

📖 Top Noted Publications

Nanocaged platforms: modification, drug delivery and nanotoxicity. Opening synthetic cages to release the tiger
    • Authors: PS Zangabad, M Karimi, F Mehdizadeh, H Malekzad, A Ghasemi, …
    • Journal: Nanoscale
    • Year: 2017
Review of the state-of-the-art of brain-controlled vehicles
    • Authors: A Hekmatmanesh, PHJ Nardelli, H Handroos
    • Journal: IEEE Access
    • Year: 2021
Neurosciences and wireless networks: The potential of brain-type communications and their applications
    • Authors: RC Moioli, PHJ Nardelli, MT Barros, W Saad, A Hekmatmanesh, …
    • Journal: IEEE Communications Surveys & Tutorials
    • Year: 2021
A combination of CSP-based method with soft margin SVM classifier and generalized RBF kernel for imagery-based brain computer interface applications
    • Authors: A Hekmatmanesh, H Wu, F Jamaloo, M Li, H Handroos
    • Journal: Multimedia Tools and Applications
    • Year: 2020
EEG control of a bionic hand with imagination based on chaotic approximation of largest Lyapunov exponent: A single trial BCI application study
    • Authors: A Hekmatmanesh, RM Asl, H Wu, H Handroos
    • Journal: IEEE Access
    • Year: 2019

Shubing Dai | Algorithm Development | Best Researcher Award

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Prof. Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai at Northwest A&F University, China

Professional Profile👨‍🎓

👨‍🏫 Summary

Prof. Shubing Dai is an Associate Professor at Northwest A&F University, specializing in Hydraulic Engineering. With a background in Hydraulics and River Dynamics, he has published over 20 research papers and actively participated in over 20 research projects. His work primarily focuses on urban flood management, hydraulic structures, and water flow dynamics. He is also an active member of key professional organizations, including the China Society for Hydroelectric Engineering and the International Association for Hydro-Environment Engineering and Research (IAHR).

🎓 Education

Prof. Dai began his academic career at Northwest A&F University, where he earned his Bachelor’s (2008–2012) and Master’s (2012–2015) degrees in Hydraulic and Hydroelectric Engineering. He then pursued a Ph.D. in Hydraulics and River Dynamics at Dalian University of Technology (2016–2021). Additionally, he worked as a visiting scholar at the University of La Coruña in Spain (2024).

💼 Professional Experience

Prof. Dai has extensive professional experience, both in academia and industry. He currently serves as an Associate Professor at Northwest A&F University and the Department Secretary of the Hydraulic Engineering Department. He also previously worked as an Assistant Engineer at the Changjiang Survey, Planning, and Design Institute (2015–2016), contributing to several major hydropower and hydraulic engineering projects.

📚 Academic Contributions

Prof. Dai is an active contributor to the academic community, serving as a reviewer for several leading journals such as Journal of Hydrology and Physics of Fluids. He also serves as an editorial board member for an international journal. His research focuses on water resources, hydraulic structures, and flow dynamics, with over 20 published papers and several high-impact research projects.

🔧 Technical Skills

Prof. Dai has developed a range of technical skills, including:

  • Hydraulic Engineering: Focus on energy dissipation and optimization of flood discharge systems.
  • Urban Flooding & Drainage: Expertise in urban drainage system design, stormwater management, and flood mitigation.
  • Flow Dynamics: Proficient in Computational Fluid Dynamics (CFD) and non-steady flow simulations for hydraulic applications.
  • Hydropower Engineering: In-depth research on dam-break flood modeling, hydraulic structures, and their interactions with water flow.

👩‍🏫 Teaching Experience

As a dedicated educator, Prof. Dai mentors master’s students and teaches courses on fluid dynamics, hydraulic modeling, and water resource management. He is also responsible for the administration of the Water Resources and Hydroelectric Engineering department at Northwest A&F University, playing a key role in curriculum development and academic planning.

🔬 Research Interests

Prof. Dai’s research interests are focused on:

  • Hydraulic Engineering: Research on energy dissipation in hydraulic structures and optimization of flood discharge processes.
  • Flood Disaster Management: Urban flood management, drainage systems, and dam-break flood evolution.
  • Non-steady Flow & Hydrodynamics: Investigating the dynamics of free-surface flows, wave behavior, and non-constant flow conditions in hydraulic systems.

🔍 Research Projects

Prof. Dai leads and participates in several important research projects, such as:

  • City Flood and Drainage Systems Simulation (2022–2025)
  • Optimization of Urban Drainage Under Extreme Rainfall Conditions (2023–2025)
  • Dam-Break Flood Evolution and Structural Interaction Studies (2024–2026)
    He is also involved in national and regional projects on hydraulic structure optimization, flood forecasting, and water resource management.

 

📖Top Noted Publications

Numerical study of roll wave development for non-uniform initial conditions using steep slope shallow water equations

Authors: Dai, S., Liu, X., Zhang, K., Liu, H., Jin, S.
Journal: Physics of Fluids
Year: 2024

Discharge coefficients formulae of grate inlets of complicated conditions for urban floods simulation and urban drainage systems design

Authors: Dai, S., Hou, J., Jin, S., Hou, J., Liu, G.
Journal: Journal of Hydrology
Year: 2023

Land Degradation Caused by Construction Activity: Investigation, Cause and Control Measures

Authors: Dai, S., Ma, Y., Zhang, K.
Journal: International Journal of Environmental Research and Public Health
Year: 2022

Numerical investigations of unsteady critical flow conditions over an obstacle using three models

Authors: Dai, S., Jin, S.
Journal: Physics of Fluids
Year: 2022

Interception efficiency of grate inlets for sustainable urban drainage systems design under different road slopes and approaching discharges

Authors: Dai, S., Jin, S., Qian, C., Ma, Y., Liang, C.
Journal: Urban Water Journal
Year: 2021