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

Author Profile

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📚 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

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.