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

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

Icam, Site De Grand Paris Sud Meriem Labourel, France

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đź“š Early Academic Pursuits

Mrs. Meriem Labourel Nachidi’s academic journey began with a focus on control of physical processes, earning her DEA (DiplĂ´me 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.

đź’Ľ 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.

đź“‘ 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.

đź’» 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

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

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

đź“ť 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.

đź‘” 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

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

Mr. Menno Buisman at Delft University of Technology, Netherlands

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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 ZĂĽrich, 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

đź’Ľ 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

đź“– 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