Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

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Prof. Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

College of Water Conservancy and Civil Engineering, Shandong Agricultural University | China

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PROF. QIANG YUE – A LEADER IN BIG DATA ANALYTICS AND WATER CONSERVANCY RESEARCH 🌐💧

INTRODUCTION 🌟

Prof. Qiang Yue is a prominent academic and researcher at the College of Water Conservancy and Civil Engineering, Shandong Agricultural University, China. Specializing in Big Data Analytics, Prof. Yue has contributed significantly to the field of water conservancy and civil engineering, focusing on the integration of data science and engineering for sustainable solutions. His interdisciplinary approach is helping shape the future of water management systems and infrastructure development.

EARLY ACADEMIC PURSUITS 🎓

Prof. Yue’s academic journey began with a strong foundation in civil engineering and water conservancy. After completing his undergraduate degree, he pursued advanced studies in related fields, obtaining a Master’s and PhD with a focus on big data analytics and its applications in civil engineering and water resources management. His rigorous academic training set the stage for his future contributions to both engineering and data science.

PROFESSIONAL ENDEAVORS 💼

As a faculty member at Shandong Agricultural University, Prof. Yue has played a key role in developing research programs and teaching in the fields of water conservancy and civil engineering. His work bridges the gap between traditional engineering methods and modern data analytics, incorporating advanced technologies like machine learning and AI in the optimization of water resources and infrastructure planning. Prof. Yue has also collaborated with national and international research institutions, contributing to various large-scale projects focused on water management and sustainable civil engineering practices.

CONTRIBUTIONS AND RESEARCH FOCUS ON Big Data Analytics 🔬

Prof. Yue’s research interests lie at the intersection of Big Data Analytics and civil engineering, particularly in the optimization of water conservancy systems. His work focuses on the application of machine learning algorithms, predictive analytics, and real-time data collection to improve the efficiency of water resource management, flood control, and infrastructure development. Additionally, his research aims to enhance the sustainability of civil engineering projects through data-driven decision-making, making significant strides toward smart cities and sustainable environmental practices.

IMPACT AND INFLUENCE 🌍

Prof. Yue’s research has had a profound impact on both the academic community and the industry. His innovative use of Big Data Analytics in water conservancy and civil engineering has transformed how data is used in real-time decision-making, helping optimize water resource management on a large scale. His work influences policy decisions, infrastructure development projects, and sustainability strategies, improving water conservation efforts in China and beyond. Prof. Yue has also mentored a generation of engineers and researchers, sharing his knowledge and experience to cultivate future leaders in the field.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Prof. Yue has authored numerous papers in high-impact journals, with a focus on Big Data Analytics and its applications in water management and civil engineering. His publications cover topics such as predictive modeling, real-time water quality monitoring, and optimization of water distribution systems using machine learning. His research is widely cited in the academic community, reflecting the significance of his work in the integration of Big Data with engineering practices.

HONORS & AWARDS 🏆

Prof. Yue’s exceptional contributions to Big Data Analytics and water conservancy have earned him various honors and awards, including:

  • Best Paper Award, International Conference on Water Management and Engineering (2022)
  • Outstanding Researcher Award, Shandong Agricultural University (2021)
  • Excellence in Teaching Award, College of Water Conservancy and Civil Engineering (2020)
  • Innovation in Data Science Award (2019)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Prof. Yue’s work is paving the way for the next generation of engineers who will rely on data analytics to create sustainable and efficient infrastructure solutions. His future contributions promise to further the development of smart cities, improve water resource management, and enhance the overall resilience of urban environments to climate change. As he continues to innovate and mentor young engineers, his legacy will endure, shaping the future of civil engineering and environmental sustainability.

FINAL NOTE 📌

Prof. Qiang Yue’s career has been defined by his commitment to applying cutting-edge technology to real-world problems in water conservancy and civil engineering. His research is reshaping how engineers and policymakers approach water management and sustainability. His ability to blend Big Data Analytics with traditional engineering disciplines is a testament to his vision for the future of infrastructure and environmental protection.

 TOP NOTES PUBLICATIONS 📚

Dynamic health prediction of plain reservoirs based on deep learning algorithms
    • Authors: Z., Zhu; Zhaohui, H.; Wu, Hao; Z., Zhang, Zhicheng; R., Wang, Rui; Q., Yue, Qiang
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2025
Recognition and quantification of apparent damage to concrete structure based on computer vision
    • Authors: J., Liu, Jiageng; H., Sun, Hongyu; Q., Yue, Qiang; Y., Jia, Yanyan; S., Wang, Shaojie
    • Journal: Measurement: Journal of the International Measurement Confederation
    • Year: 2025

Meriem Labourel Nachidi | Smart Cities and Urban Analytics | Best Researcher Award

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Mrs. Meriem Laboure l Smart Cities and Urban Analytics | Best Researcher Award

Icam, Site De Grand Paris Sud Meriem Labourel, France

Author Profile

Google Scholar

📚 Early Academic Pursuits

Mrs. Meriem Labourel Nachidi’s academic journey began with a focus on control of physical processes, earning her DEA (Diplôme d’Études Approfondies) at the Faculty of Science Semlalia, Marrakech. She further honed her expertise in automation and control systems during her doctoral studies at the University of Valladolid, where she worked on the stabilization of Takagi-Sugeno fuzzy systems, with a specific application to greenhouse systems. This research laid the foundation for her profound understanding of nonlinear systems and advanced control techniques.

💼 Professional Endeavors

Mrs. Labourel Nachidi’s professional career is marked by significant teaching and research contributions. As a Lecturer & Researcher at Icam, Site de Grand Paris Sud, she has taken on critical roles such as Local Research Manager and Delegated Teaching and Research Manager for the MIA/EEE domain. Her research work and teaching cover dynamic systems, control of continuous and discrete linear systems, and advanced control methods, including nonlinear systems and fuzzy control.

She also contributed as a Visiting Lecturer at the School Polytechnic Carlos 3, Madrid from 2011 to 2013, where she taught automation, nonlinear systems, and control of dynamic systems. Earlier in her career, she worked at IUT-Bron and University of Jules Verne, Amiens, where she taught computer science, algorithms, and databases, expanding her academic portfolio.

🔬 Contributions and Research Focus

Mrs. Labourel Nachidi’s research expertise lies in the development of advanced control algorithms for nonlinear systems, predictive control, fuzzy control, and multi-agent systems. Her work also spans Lyapunov stability and the use of linear matrix inequalities in control systems. One of her notable contributions is in power converter control, where she co-authored a highly cited paper: “An enhanced control approach for DC-DC converters” published in the International Journal of Electrical Power and Energy Systems. This work reflects her capability to bridge theory and practice, especially in power electronics and control systems.

Her doctoral research on the stabilization of Takagi-Sugeno fuzzy systems, with its application to a greenhouse system, has been influential in both academic and practical circles, enhancing the stability and efficiency of complex systems.

🌍 Impact and Influence

Mrs. Labourel Nachidi’s contributions have made a profound impact in the field of automation and control systems, especially in nonlinear control and power electronics. Her work on fuzzy systems and predictive control has influenced both theoretical advancements and practical applications in various industries. As a Local Research Manager at Icam, she plays a pivotal role in shaping research directions, ensuring that cutting-edge developments are integrated into teaching and industry practices.

Her recognition as a visiting lecturer in prestigious universities and her published works in high-impact journals reflect her influence within the academic community. Her research continues to inspire innovations in control strategies for various engineering applications.

📑 Academic Cites and Recognition

Mrs. Labourel Nachidi’s research, particularly in nonlinear systems and fuzzy control, has been widely cited in the academic world. Her key publication, “An enhanced control approach for DC-DC converters,” published in 2013, is frequently referenced in studies related to power converters and robust control strategies. This work highlights her ability to solve practical engineering problems with robust and efficient solutions. Her consistent contributions to both theoretical research and applied control strategies further solidify her standing in the academic community.

💻 Technical Skills

Mrs. Labourel Nachidi is highly proficient in advanced control techniques, including predictive control, fuzzy control, and Lyapunov stability. She is skilled in the use of multi-agent systems for managing complex processes and systems. Her technical expertise extends to linear matrix inequalities and automation technologies, which she incorporates into her teaching and research. Her ability to integrate control theory with practical applications in areas such as power electronics and nonlinear systems showcases her versatility and depth of knowledge.

🎓 Teaching Experience

Mrs. Labourel Nachidi has accumulated extensive teaching experience across various prestigious institutions. At Icam, she has taught and managed courses on dynamic systems and control systems for both undergraduate and graduate students. Her expertise extends to teaching both continuous and discrete linear systems and nonlinear systems, making her a versatile educator in automation. Her work as a visiting lecturer at Polytechnic Carlos 3, Madrid, and earlier teaching roles at IUT-Bron and the University of Jules Verne, Amiens, have allowed her to bring diverse teaching methodologies to different academic environments.

Her passion for teaching is reflected in her dedication to not only transmitting knowledge but also fostering an environment that encourages curiosity and research-driven learning.

🌟 Legacy and Future Contributions

As a scholar and educator, Mrs. Labourel Nachidi is poised to leave a lasting legacy in the field of automation and control systems. Her research continues to evolve with the integration of emerging control technologies, and her work on fuzzy systems and predictive control is already influencing future developments in various industries. Her role as a Local Research Manager ensures that the next generation of engineers will benefit from the advanced control algorithms she is developing.

📖 Top Noted Publications 

LMI-Based Approach for Output-Feedback Stabilization for Discrete-Time Takagi–Sugeno Systems

Authors: M Nachidi, A Benzaouia, F Tadeo, MA Rami

Journal: IEEE Transactions on Fuzzy Systems

Year: 2008

Takagi–Sugeno Control of Nocturnal Temperature in Greenhouses Using Air Heating

Authors: M Nachidi, F Rodriguez, F Tadeo, JL Guzman

Journal: ISA Transactions

Year: 2011

Temperature and Humidity Control in Greenhouses Using the Takagi-Sugeno Fuzzy Model

Authors: M Nachidi, A Benzaouia, F Tadeo

Journal: 2006 IEEE Conference on Computer Aided Control System Design

Year: 2006

Modeling Supply Chain Performance

Authors: PE Dossou, M Nachidi

Journal: Procedia Manufacturing

Year: 2017

Static Output-Feedback for Takagi–Sugeno Systems with Delays

Authors: M Nachidi, F Tadeo, A Benzaouia, M Ait Rami

Journal: International Journal of Adaptive Control and Signal Processing

Year: 2011

Tian-yu Zhang | Smart Cities and Urban Analytics | Best Researcher Award

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Dr. Tian-yu Zhang | Smart Cities and Urban Analytics | Best Researcher Award

Dr. Tian-yu Zhang at Beijing Jiaotong University, China

👨‍🎓Professional Profiles

🧑‍🔬 Summary

Dr. Tian-yu Zhang  PhD candidate in Transportation Planning and Management at Beijing Jiaotong University, focusing on the integration of transportation, energy, and economics. My research aims to develop synergistic systems that optimize the efficiency of electrified transportation networks, reduce emissions, and support the sustainable development of the electrified transport industry. I have published 8 academic papers, including 5 SCI papers as the first or corresponding author, and have contributed to several national and provincial-level projects. I was honored with the National Scholarship for Doctoral Students in both 2023 and 2024.

🎓 Education

Dr. Tian-yu Zhang currently pursuing a PhD in Transportation Planning and Management at Beijing Jiaotong University (2015–present). Under the guidance of Professors Enjian Yao (BJTU), Junyi Zhang (Southeast University), and Zhiwei Wang (NTU), my research focuses on the intersection of transportation and energy. This includes areas like big data mining, intelligent system design, and the optimization of transportation networks for sustainable development.

💼 Professional Experience

Throughout my doctoral journey, I have led and contributed to several high-impact research projects. As the chair of two fundamental research projects, I have focused on optimizing highway charging networks and electric vehicle infrastructure. I have also actively participated in national research projects aimed at optimizing regional transport structures, assessing carbon and pollution reduction potential, and developing energy replenishment solutions for transportation systems.

📚 Academic Citations

I have published 8 academic papers in top-tier journals such as Applied Energy, Transportation Research Part A, IEEE Transactions on Transportation Electrification, and Computer-Aided Civil and Infrastructure Engineering. My work, including 5 SCI-indexed papers where I served as the first or corresponding author, has been widely cited in the field of transportation and energy integration.

💻 Technical Skills

My research expertise spans several technical areas, including:

  • Transportation big data analysis
  • Intelligent transportation system (ITS) design and operation
  • Multi-agent system modeling
  • Optimization of multi-network coupling for transportation and energy
  • Industrial policy assessment and formulation
  • Software development (e.g., Dynamic Traffic Flow Allocation System V1.0)

👨‍🏫 Teaching Experience

In addition to my research, I assist in teaching courses related to transportation planning, system optimization, and transportation-energy integration at Beijing Jiaotong University. This allows me to share my knowledge while continuing to learn and engage with students.

🔬 Research Interests

My research primarily focuses on the integration of transportation and energy systems. Specifically, I aim to develop synergistic operations for electrified transportation, optimize energy consumption, and improve infrastructure planning through intelligent transportation systems and smart grids. I am particularly interested in multi-network coupling, energy management, and policy development to help the transportation sector meet sustainability goals, especially within the context of the “Double Carbon” initiative.

🌍 Vision for the Future

Dr. Zhang envisions the future development of smart grids, electric vehicles, and intelligent transportation systems working synergistically to achieve a sustainable and low-carbon transportation infrastructure. He hopes to foster international collaboration to tackle global challenges in this vital interdisciplinary field.

Huike Zeng | Smart Cities and Urban Analytics | Best Researcher Award

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Mr. Huike Zeng | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Huike Zeng at Shandong university, China

👨‍🎓 Profile

📝 Summary

Zeng Huike is a dedicated Ph.D. candidate in Geotechnical Engineering at Shandong University, focusing on transportation engineering, particularly in non-destructive testing and vibration control for railway infrastructure.

🎓 Education

  • B.S. in Transportation Engineering (2015-2019) from East China Jiaotong University, China
  • M.A.Sc. in Transportation Engineering (2019-2022) from Shenzhen University, China
  • Ph.D. Candidate in Geotechnical Engineering (2022-present) at Shandong University, China

💼 Professional Experience

Developed innovative phononic crystal floating slab tracks and TID-vibration-isolator systems aimed at effective vibration reduction. Established a multi-frequency data fusion method using the Non-Subsampled Contourlet Transform (NSCT) for ground penetrating radar (GPR) applications in railway infrastructure testing.

🔍 Research Interests

Dynamic soil-structure interaction, non-destructive testing, ground penetrating radar, vibration and noise control, deep learning, and predictive methods are the key areas of exploration.

🏆 Awards

  • National Scholarship, Ministry of Education of China (2021)
  • SZU Outstanding Graduate Award, Shenzhen University (2022)
  • Academic Excellence Scholarship, Shandong University (2023)
📖  Top Noted Publications

Article Title: Study on Low-Frequency Vibration Mitigation Characteristics of TID-Vibration-Isolator Floating Slab Track

  • Authors: Sheng, X.; Zeng, H.-K.; Shi, C.; Zhang, Y.; Du, Y.-L.
    Journal: Gongcheng Lixue / Engineering Mechanics
    Volume: 40
    Issue: 5
    Pages: 49–58
    Year: 2023

Article Title: A Study on Low-Frequency Vibration-Mitigation Performance of a Phononic Crystal Floating Slab Track

  • Authors: Sheng, X.; Zeng, H.; Shi, C.; Du, Y.
    Journal: Zhendong yu Chongji / Journal of Vibration and Shock
    Volume: 41
    Issue: 12
    Year: 2022

Article Title: Numerical Study on Propagative Waves in a Periodically Supported Rail Using Periodic Structure Theory

  • Authors: Sheng, X.; Zeng, H.; Zhang, S.Y.; Wang, P.
    Journal: Journal of Advanced Transportation
    Volume: 2021
    Pages: 6635198
    Year: 2021

Jing Wang | Smart Cities and Urban Analytics | Best Researcher Award

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Mr. Jing Wang | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Jing Wang at Shandong University, China

👨‍🎓 Profiles

Scopus Profile

Orcid Profile

Research Gate Profile

📝 Summary

Dr. Jing Wang is the Director of the Research Centre for New Structures in Railway Transportation at Shandong University. With extensive expertise in geotechnical engineering, particularly in shield intelligent tunneling, Dr. Wang has led over 40 significant projects and contributed to more than 134 academic publications.

🎓 Education

Dr. Wang holds a PhD in Geotechnical Engineering from Shandong University, where they also completed joint PhD training at Durham University.

👔 Professional Experience

Currently, Dr. Wang serves as the Director of the Research Centre for New Structures in Railway Transportation at Shandong University. Additionally, they hold editorial positions in several prestigious journals related to tunneling and engineering.

🔬 Research Interests

Dr. Wang’s research focuses on high-end intelligent shield technology, aiming to enhance tunneling processes, as well as green and safe construction methods to promote sustainability in railway transportation.

📖  Top Noted Publications

3D imaging and temporal evolution recognition of concrete internal defects based on GPR

    • Authors: Wang, Z., Li, B., Lei, M., Wang, J., Sui, Q.
    • Journal: Measurement Science and Technology
    • Year: 2024

Deep Learning-Based Three-dimensional Reconstruction and Spatial Position Mapping of Tunnel Defect Zones

    • Authors: Wang, J., Wang, W., Xu, P., Xiao, G., Wang, Z.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2024

Linear Deformation Sensing and Error Self Correction Method Based on Fiber Optic Smart Sensor Belt and Typical Error Matching

    • Authors: Wang, Z., Li, W., Zhou, X., Cui, J., Wang, J.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2024

Dam Seepage Defect Area Estimation Method Based on UAV 3D Scene Reconstruction

    • Authors: Gao, S., Gao, S., Yang, Y., Yu, Y., Wang, J.
    • Journal: ACM International Conference Proceeding Series
    • Year: 2024

Development of similar materials with different tension-compression ratios and evaluation of TBM excavation

    • Authors: Wang, J., Zhang, Y., Wang, K., Cheng, S., Sun, S.
    • Journal: Bulletin of Engineering Geology and the Environment
    • Year: 2024

Review on Vibration Monitoring and Its Application during Shield Tunnel Construction Period

    • Authors: Yang, W., Fang, Z., Wang, J., Zhang, Y., Ba, X.
    • Journal: Buildings
    • Year: 2024

Menno Buisman | Smart Cities and Urban Analytics | Best Researcher Award

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Mr. Menno Buisman | Smart Cities and Urban Analytics | Best Researcher Award

Mr. Menno Buisman at Delft University of Technology, Netherlands

 Profile

Google Scholar Profile

👨‍⚕️ Academic Background

Menno Buisman is a dedicated geophysicist specializing in distributed acoustic sensing (DAS) for sediment monitoring and infrastructure health. He is passionate about physics and geoscience and has extensive experience conducting experiments, performing data analysis, and applying cutting-edge techniques. Menno is also a dance enthusiast who enjoys giving salsa and bachata classes in his spare time.

🎓 Education

iPhD Candidate in Geophysics (2020 – expected 2024)
Delft University of Technology, The Netherlands
Thesis: “Monitoring the Water Depth in Ports and Waterways Using Distributed Acoustic Sensing.”
Supervisor: Dr. D. Draganov

Joint M.Sc. in Applied Geophysics (2017 – 2019)
Delft University of Technology, ETH Zürich, RWTH Aachen University, The Netherlands, Switzerland, and Germany
Thesis: “Seismic Analysis of Fluid Mud: Detection of Shear Parameters in Fluid Mud and the Relation Between Seismic Velocities and Yield Stresses.”

B.Sc. in Earth Sciences and Economics (2014 – 2017)
Free University, Amsterdam, The Netherlands
Thesis: “A Post Cost-Benefit Analysis of Sand Nourishment on the Walcheren Coastline.”

Pre-Science Education (2008 – 2014)
Groen van Prinstererlyceum Lentiz, Vlaardingen University
Concentration: Economy and Society

💼 Professional Experience

TenneT, Arnhem
February 2024 – Present

Develop new monitoring techniques for high voltage soil coverage and partial discharges.

Conduct pilots and surveys focused on offshore windmill park cables’ integrity.

Municipality of Rotterdam, Rotterdam
January 2024 – Present

Develop innovative monitoring techniques for infrastructure health using DAS.

Lead pilots and apply advanced techniques to continuously monitor infrastructure health using optical fibers.

iPhD Candidate, Port of Rotterdam, Rotterdam
December 2019 – December 2023

Develop monitoring techniques for nautical depth in ports and waterways.

Lead pilot projects and market analysis for DAS interrogator acquisition.

Research Intern, Port of Rotterdam, Rotterdam
April 2019 – August 2019

Conduct experiments on shear stresses and wave velocities in fluid mud.

Research Internship, Port of Rotterdam, Rotterdam
August 2018 – September 2018

Acquire and interpret acoustic data for fluid mud behavior analysis.

Research Internship, Deltares, Delft
June 2017 – August 2017

Create an ex-post analysis of sand nourishment on the Walcheren coastline.

Shop Assistant, Praxis, Vlaardingen
October 2014 – January 2018

Restock shelves and assist customers.

🔬 Research Interests

Menno Buisman’s research interests lie at the intersection of geophysics and advanced sensing technologies. He is particularly focused on the application of distributed acoustic sensing (DAS) for monitoring sediment dynamics and infrastructure health. Menno is dedicated to developing innovative techniques for real-time monitoring of water depths in ports and waterways, utilizing DAS to enhance the accuracy and efficiency of sediment monitoring. His work also explores the use of seismic data processing to understand fluid mud dynamics and their impact on marine and coastal environments. Menno is passionate about leveraging state-of-the-art technologies to address complex geophysical challenges, with a keen interest in the integration of DAS with existing infrastructure to improve maintenance and safety protocols. Additionally, his research extends to the study of acoustic wave propagation and its applications in geoscience, aiming to advance the field through experimental and theoretical approaches.

Awards

Best Conference Paper, Metrosea2023, IEEE 2023

📖 Publication

Continuous monitoring of the depth of the water-mud interface using distributed acoustic sensing

Authors: M. Buisman, E. Martuganova, T. Kiers, D. Draganov, A. Kirichek

Journal: Journal of Soils and Sediments

Year: 2022

Monitoring water column and sediments using DAS

Author: M. Buisman

Conference: 2023 IEEE International Workshop on Metrology for the Sea; Learning to …

Year: 2023

Monitoring tidal water-column changes in ports using distributed acoustic sensing

Authors: M. Buisman, D. Draganov, A. Kirichek

Conference: 84th EAGE Annual Conference & Exhibition 2023

Year: 2023

Water-depth estimation using propeller noise by distributed acoustic sensing

Authors: M. Buisman, E. Martuganova, A. Kirichek, D. Draganov

Conference: 83rd EAGE Annual Conference & Exhibition 2022

Year: 2022

Monitoring settling and consolidation of fluid mud in a laboratory using ultrasonic measurements

Authors: I. Fadel, A. Kirichek, M. Buisman, K. Heller, D. Draganov

Conference: NSG2021 27th European Meeting of Environmental and Engineering Geophysics

Year: 2021