Said Kardellass | Energy | Best Academic Researcher Award

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Prof. Dr. Said Kardellass | Energy | Best Academic Researcher Award 

Prof. Dr. Said Kardellass | Energy | Professor at Mohammed V University | Morocco

Prof. Dr. Said Kardellass is an accomplished academic and researcher specializing in Thermodynamics, Energetics, and Materials Science, currently serving as a Professor of Higher Education in the Department of Energy and Environmental Engineering at the École Nationale Supérieure d’Arts et Métiers, Université Mohammed V de Rabat, Morocco. He holds a Ph.D. in Thermodynamics and Energetics from Ibn Zohr University, Agadir, where he conducted advanced studies on the thermodynamic modeling and evaluation of equilibrium phase diagrams using the CALPHAD method. Over the years, Prof. Dr. Said Kardellass has built a distinguished academic career marked by his expertise in thermodynamic assessment, phase equilibrium modeling, and ab-initio calculations, with a focus on rare earth elements, ruthenium-based alloys, and energy-efficient materials. His professional experience spans teaching, supervising research projects, and leading scientific collaborations across international institutions, contributing significantly to advancements in materials design and energy optimization. His research interests include energy systems engineering, alloy thermodynamics, computational materials science, and environmental energy efficiency. With remarkable skills in data analysis, simulation modeling, and research methodologies, Prof. Dr. Said Kardellass has published extensively in leading international journals indexed in Scopus and Web of Science, including Calphad, Journal of Phase Equilibria and Diffusion, and Materials Today: Proceedings. Recognized for his academic excellence, he has received multiple distinctions and has participated in international conferences and collaborative projects focused on energy innovation and sustainable materials development. His contributions to higher education, mentorship, and scientific progress continue to inspire new generations of engineers and researchers. In conclusion, Prof. Dr. Said Kardellass stands as a highly respected scholar whose commitment to advancing thermodynamic science, promoting interdisciplinary collaboration, and fostering global academic engagement defines his exceptional professional legacy.

Profile: Google Scholar

Featured Publications 

  1. Idbenali, M., Kardellass, S., Feddaoui, M., & Selhaoui, N. (2023). Calphad-type description of sugar alcohols potential candidate as phase change material. Calphad, 83, 102638. (Citations: 14)

  2. Kardellass, S., Corvalan-Moya, C., & Vassiliev, V. (2023). Thermodynamic modeling of the (Ce and Sm)-Ru binary systems based on linear, exponential, and combined models aided by ab-initio calculations. Journal of Phase Equilibria and Diffusion, 44, 300–323. (Citations: 11)

  3. Kardellass, S., Vassiliev, V., Mahdouk, K., Laaroussi, N., & Selhaoui, N. (2023). Excess thermodynamic properties of solutions in Ln-Ru (Ln = Nd, Gd, Dy) binary systems based on quadratic, exponential and combined models supported by ab-initio calculations. Journal of Phase Equilibria and Diffusion, 44, 43–75. (Citations: 9)

  4. Bendarma, A., Garouge, S. E., Rusinek, A., Akhzouz, H., Kardellass, S., Bouslikhane, S., & Minor, H. E. (2022). The behaviour of aluminum alloy 1050 sheet subjected to impact and perforation process: Experimental and numerical approaches. Materials Today: Proceedings, 52, 40–44. (Citations: 18)

  5. Bendarma, A., Gourgue, H., Jankowiak, T., Rusinek, A., Kardellass, S., & Klosak, M. (2020). Perforation tests of composite structure specimens at wide range of temperatures and strain rates—Experimental analysis. Materials Today: Proceedings, 24, 7–10. (Citations: 22)

  6. Boukideur, M. A., Selhaoui, N., Alaoui, F. Z. C., Iddaoudi, A., Achgar, K., & Kardellass, S. (2020). Thermodynamic assessment of the Ho–Ga system. Journal of Thermal Analysis and Calorimetry, 139, 3623–3633. (Citations: 16)

  7. Kardellass, S., Servant, C., Drouelle, I., Chrifi-Alaoui, F. Z., Idbenali, M., Abahazem, A., Hidoussi, A., Bendarma, A., & Selhaoui, N. (2020). Calphad-type assessment of the Pd–Yb binary system supported by first-principles calculations – Part II: Results. Materials Today: Proceedings, 24, 140–150. (Citations: 20)

 

Licheng Zhang | Energy | Best Researcher Award

Published on by Academic Achievements

Dr. Licheng Zhang | Energy | Best Researcher Award

Dr. Licheng Zhang | Energy – Senior Engineer at Chang’an University, China.

Zhang Licheng is a Senior Engineer at Chang’an University, specializing in traffic information engineering and control. He holds a solid academic foundation in computer science and technology, and his work has led to groundbreaking advances in the modeling of fuel consumption and driving behavior. Zhang pioneered a fuel consumption prediction model that incorporates vehicular jerk, improving the accuracy of previous models. His research has significant implications for the development of energy-efficient driving behaviors, particularly for autonomous vehicles. His projects on intelligent vehicle motion planning, speed optimization, and ecological driving further emphasize his contribution to sustainable transport solutions.

Profile Verification

Scopus | Orcid | Google Scholar

Education

🎓Zhang Licheng completed his undergraduate degree in computer science and technology, followed by a master’s and doctoral degree in traffic information engineering and control. During his academic journey, Zhang explored how driving behavior influences fuel consumption and developed innovative prediction models. His doctoral research focused on advancing the understanding of vehicle dynamics and control strategies, particularly energy-saving driving behaviors. Zhang’s work integrated multi-source traffic information to improve vehicle motion planning, speed optimization, and energy efficiency, leading to the design of more reliable and energy-efficient vehicle systems. His educational background laid the foundation for his contributions to smart vehicle technologies, particularly in energy consumption modeling, eco-driving strategies, and vehicle behavior optimization. Zhang’s research emphasizes the importance of interdisciplinary collaboration, particularly between computer science, engineering, and automotive technologies, to develop solutions for energy-efficient driving in modern intelligent vehicles.

Experience

Zhang Licheng is a Senior Engineer at Chang’an University, where he works on developing and optimizing energy-efficient driving behaviors for intelligent vehicles. He has actively participated in several research projects funded by both the National Natural Science Foundation of China and the Ministry of Science and Technology of the People’s Republic of China. Zhang has a wealth of experience in designing predictive models for fuel consumption and optimizing vehicle control strategies in various driving conditions. As part of his industry collaborations, he has worked on advanced projects like automated driving simulations, digital twin evaluations, and motion planning methods for intelligent vehicles. Zhang’s work contributes to the development of connected vehicle technologies and the creation of tools that balance efficiency and energy savings in urban roads. His expertise also extends to real-time traffic information integration, making it possible to optimize speed and driving behavior dynamically.

Research Interests

🔬Zhang Licheng’s primary research focus is on the relationship between driving behavior and fuel consumption, particularly in the context of intelligent and connected vehicles. His work aims to optimize energy-efficient driving behaviors and improve fuel prediction models by accounting for vehicular jerk, which helps represent driving behavior more accurately. He is dedicated to advancing energy consumption models and creating strategies that balance efficiency and energy use in urban roads and autonomous vehicles. Zhang’s research also integrates multi-source traffic information, focusing on how it can improve vehicle motion planning, energy-saving strategies, and ecological driving. Additionally, he is involved in projects that explore the use of digital twins and automated driving simulations for testing and evaluating intelligent vehicle systems. Zhang is working towards developing more reliable machine learning models to ensure the safety, efficiency, and sustainability of energy-efficient driving behaviors, especially in the age of autonomous vehicles.

Awards

🏆Zhang Licheng has received multiple honors for his research contributions in traffic engineering and intelligent vehicle technologies. Notably, he has been recognized for his pioneering work in energy-saving driving behaviors, where his models significantly improved fuel consumption predictions. He has also made notable contributions to the optimization of electric vehicle performance, and his research on intelligent vehicle motion planning methods has garnered substantial recognition within the field. Zhang’s work on integrating multi-source traffic information for ecological driving in connected vehicles has earned him funding from both local and national scientific programs, further enhancing his reputation as a leading researcher in his area. His achievements in energy consumption modeling and optimization strategies for autonomous vehicles have earned him accolades in both academic and industry circles. Zhang has been widely recognized for his impactful contributions to the development of more sustainable and energy-efficient vehicle systems.

Publications

New innovations in pavement materials and engineering: A review on pavement engineering research

Authors: JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo, S Guo, B Han, B Hong, …

Citations: 151

Year: 2021

Improved watershed analysis for segmenting contacting particles of coarse granular soils in volumetric images

Authors: Q Sun, J Zheng, C Li

Citations: 60

Year: 2019

Highway constructions on the Qinghai-Tibet Plateau: Challenge, research and practice

Authors: A Sha, B Ma, H Wang, L Hu, X Mao, X Zhi, H Chen, Y Liu, F Ma, Z Liu, …

Citations: 55

Year: 2022

Material characterization to assess effectiveness of surface treatment to prevent joint deterioration from oxychloride formation mechanism

Authors: X Wang, S Sadati, P Taylor, C Li, X Wang, A Sha

Citations: 44

Year: 2019

Mechanistic-based comparisons of stabilised base and granular surface layers of low-volume roads

Authors: C Li, JC Ashlock, DJ White, PKR Vennapusa

Citations: 38

Year: 2019

Improvement of Asphalt-Aggregate Adhesion Using Plant Ash Byproduct

Authors: Z Liu, X Huang, A Sha, H Wang, J Chen, C Li

Citations: 36

Year: 2019

Morphology-based indices and recommended sampling sizes for using image-based methods to quantify degradations of compacted aggregate materials

Authors: C Li, J Zheng, Z Zhang, A Sha, J Li

Citations: 34

Year: 2020

In situ modulus reduction characteristics of stabilized pavement foundations by multichannel analysis of surface waves and falling weight deflectometer tests

Authors: C Li, JC Ashlock, S Lin, PKR Vennapusa

Citations: 34

Year: 2018

Mechanistic-based comparisons for freeze-thaw performance of stabilized unpaved roads

Authors: C Li, PKR Vennapusa, J Ashlock, DJ White

Citations: 32

Year: 2017

Influence of water on warm-modified asphalt: Views from adhesion, morphology and chemical characteristics

Conclusion

Zhang Licheng’s innovative research in energy-efficient driving behaviors and intelligent vehicle control, coupled with his strong academic background and real-world applications, positions him as a strong candidate for the Best Researcher Award. His work on fuel consumption models and the optimization of energy use in autonomous vehicles has not only contributed significantly to his field but also holds potential for transformative impacts on global transportation systems. Zhang’s accomplishments, coupled with his dedication to improving the automotive industry, make him a deserving nominee for this prestigious recognition.