Ali Zaoui | Computational Methods | Computational Science Excellence Award

Prof. Ali Zaoui | Computational Methods | Computational Science Excellence Award

Djillali Liabes University of SIDI BELI ABBES | Algeria

Ali Zaoui is a Professor and Team Leader at the Physics Computational Materials Laboratory at the University of Sidi Bel Abbes, Algeria. With a distinguished career spanning several decades, he has made significant contributions to the field of computational materials science. Zaoui holds a PhD in Material Sciences and has taught in various capacities, progressing from General Physics to Nanotechnology at the University of Sidi Bel Abbes.

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Early Academic Pursuits 🎓

Zaoui’s academic journey began with a B.Sc. in Physics from the University of Sidi Bel Abbes (1991-1996). He then pursued a M.Sc. in Solid State Physics (1998-2000), focusing on the electronic structure of BSb compounds using the FP-LAPW method. Zaoui continued his academic pursuit with a Ph.D. in Material Sciences (2000-2005), conducting groundbreaking research on TiCxN1−x, ZrxNb1−xC, and HfCxN1−x alloys through first-principles calculations. His early work established a foundation in ab-initio methods for studying the electronic structures of complex materials.

Professional Endeavors 🧑‍💼

Zaoui’s professional career includes roles as a Professor at the University of Sidi Bel Abbes, where he has been an influential faculty member since 2005. Additionally, he has held leadership roles, such as Team Leader and Director of various computational material science laboratories. His contributions extend beyond teaching, as he has also served in prominent positions such as Dean of the Faculty of Exact Sciences at the Djillali Liabes University and President of the Doctoral Formation Committee.

Contributions and Research Focus 🔬

Zaoui’s research focus spans a range of topics, with particular emphasis on computational physics, material science modeling, and condensed matter physics. His expertise lies in studying strongly correlated systems, magnetism, and superconductivity in atomic and condensed matter physics. His contributions in first-principles calculations have advanced the understanding of alloy properties, nanostructures, and electronic behaviors of various materials. Notable works include research on Hf3N4 and Zr3N4 compounds, as well as RE2Ni2Pb (R=Er, Ho), contributing to the advancement of material science through simulation and modeling techniques.

Impact and Influence 🌐

Zaoui’s impact in the field of computational material science is substantial, with significant influence in educating future generations of physicists. As a team leader, he has guided a range of research projects that continue to shape the field. His involvement in summer schools, conferences, and workshops on DFT, simulation methods, and materials modeling has contributed to international collaborations and the sharing of knowledge on an international scale. His research has shaped the academic landscape of materials science, particularly in Algeria and North Africa.

Academic Cites 📚

Zaoui’s academic works have gained significant recognition and have been cited in a wide array of material science journals. His research on Hf3N4 and Zr3N4 compounds, along with his contributions to optical properties of semiconductors and first-principles simulations, has been referenced widely in the scientific community. His work is highly regarded for its accuracy, innovation, and practical application in understanding the electronic structures of materials.

Research Skills 🧑‍🔬

Zaoui’s research is known for the depth of computational analysis and precision in applying first-principles calculations. He is highly skilled in using DFT, LDA+U methods, and ab-initio techniques to model complex material properties, from magnetism to superconductivity. His computational techniques allow for predictive modeling of material behaviors, an essential aspect in the development of new materials for various applications. Zaoui’s research is marked by his ability to bridge theory with practical outcomes, bringing computational insights into real-world scenarios.

Teaching Experience 📖

Zaoui has a rich and diverse teaching experience, spanning from general physics to specialized subjects like magnetism, thermodynamics, and nanotechnology. He has taught at both undergraduate and graduate levels, including at institutions like the Higher School of Computer Science of Sidi Bel Abbes. His teaching extends beyond the classroom, having led seminars, summer schools, and research conferences. His commitment to educating the next generation of physicists has made a lasting impact on the scientific community in Algeria.

Awards and Honors 🏆

While detailed awards are not listed in the provided information, Zaoui’s significant contributions to computational material science, his leadership in education, and his influential research undoubtedly position him for recognition in various academic circles. His leadership role in organizing scientific committees and overseeing doctoral training programs reflects his contribution to the academic excellence in material science.

Legacy and Future Contributions 🌱

Zaoui’s legacy is deeply rooted in his research, teaching, and leadership in computational materials science. His future contributions are expected to continue influencing the advancement of computational tools and material science innovations. With his focus on nanotechnology, superconductivity, and magnetism, Zaoui is well-positioned to make future breakthroughs in the understanding of next-generation materials. As his work continues to inspire the global research community, Zaoui’s legacy will likely shape the future of computational materials science and nanotechnology for many years to come.

Publications Top Notes

Impact of polymer binders on the aggregation modes of two-pieces CSH composites

  • Authors: J., Jia, Jiwei; A., Zaoui, Ali; W., Sekkal, Wassila
    Journal: Cement and Concrete Research, Year: 2025

Molecular modeling of clay minerals: A thirty-year journey and future perspectives

  • Authors: A., Zhou, Annan; J., Du, Jiapei; A., Zaoui, Ali; W., Sekkal, Wassila; M.S., Sahimi, Muhammad Syamim
    Journal: Coordination Chemistry Reviews, Year: 2025

Crystal structure and magnetic properties of lithium nitridoferrate: Density functional theory calculations

  • Authors: M.R., Aced, Mohammed Reda; N., Benayad, Nawel; F., Drief, F.; S., Kacimi, Salima; M., Djermouni, Mostefa
    Journal: Journal of Magnetism and Magnetic Materials, Year: 2025

Exploring superconducting signatures in high-pressure hydride compounds: An electronic-structure analysis

  • Authors: C., Mohammed Krarroubi; N., Benayad, Nawel; F., Benosman, Fayssal; S., Kacimi, Salima; A., Zaoui, Ali
    Journal: Physica C: Superconductivity and its Applications, Year: 2025

Influence of particle size distribution and normal pressure on railway ballast: A DEM approach

  • Authors: Z., Yan, Zhu; A., Zaoui, Ali; W., Sekkal, Wassila
    Journal: High-speed Railway, Year: 2025

Discrete-Element Method Study of the Effect of Ballast Layer Depth on the Performance of Railway Ballast Bed

  • Authors: Z., Yan, Zhu; A., Zaoui, Ali; W., Sekkal, Wassila
    Journal: International Journal of Geomechanics, Year: 2025

 

 

 

Chuhui Zhang | Machine Learning in Physics | Best Researcher Award

Mr. Chuhui Zhang | Machine Learning in Physics | Best Researcher Award

Nanjing University of Information Science and Technology | China

Chuhui Zhang is a master’s degree candidate at Nanjing University of Information Science & Technology, where he studies Big Data Science and Technology in a Sino-foreign collaboration program. His research focuses on laser system development and intelligent control, specifically in laser system design and control algorithm development. Originally from Wuxi, Jiangsu, he has consistently demonstrated an aptitude for both academic and practical contributions in the field of optical systems.

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🎓 Early Academic Pursuits

Zhang’s academic journey began at Jiangsu University, where he earned his Bachelor’s degree in Software Engineering. During his undergraduate years, he distinguished himself with his exceptional leadership and academic achievements, earning accolades such as Three Good Students, Outstanding Student Cadre, and the Outstanding Graduate recognition. He also obtained the CET-6 certification, marking his proficiency in the English language. These early years were formative in shaping his technical skills and research interests in fields such as control algorithms and optical systems.

🛠️ Professional Endeavors

Since 2023, Zhang has been engaged in cutting-edge laser technology projects through his work on the National Natural Science Foundation of China project. His work on high-repetition rate, high-energy mid-infrared picosecond lasers focuses on laser design, time-frequency domain stability control, and ultrafast process measurement. He has also worked on green pulsed laser development and picosecond laser advancements, demonstrating a wide range of expertise across laser systems and optical technologies. Zhang’s technical contributions are evident in his work developing mode-locked fiber lasers, self-starting erbium-doped lasers, and hollow-core anti-resonant fibers.

🔬 Contributions and Research Focus

Zhang’s research focus is primarily on laser system development and intelligent control. His notable contributions include:

  • Developing advanced laser systems such as passively mode-locked ultrafast fiber lasers based on nonlinear polarization rotation.
  • Designing innovative fibers like hollow-core anti-resonant fibers, with a focus on mid-infrared applications.
  • Implementing machine learning algorithms like Particle Swarm Optimization and BFGS optimization to improve mode-locking and control.
  • Utilizing deep learning frameworks such as Pytorch, TensorFlow, and Sklearn to optimize and control ultrafast laser systems.

These projects aim to address some of the most challenging technological gaps in laser science, with an emphasis on achieving higher energy outputs and improved laser performance.

🌍 Impact and Influence

Zhang’s work in the field of laser technology has the potential to impact multiple industries, including medical imaging, communications, and scientific research. His development of high-power green pulsed lasers and mode-locked fiber lasers has the ability to transform applications in microscopy, biomedical imaging, and optical communications. The invention patents and published research in respected journals, such as Infrared Physics & Technology, showcase Zhang’s growing influence in the laser community and his contributions to cutting-edge innovations in optical technology.

🧑‍🏫 Research Skills

Zhang has developed a comprehensive skill set in:

  • Optical system design, including system construction and optical path debugging.
  • Advanced simulation tools, including COMSOL, Matlab, and SolidWorks for fiber laser design.
  • Deep learning and machine learning skills with Pytorch, TensorFlow, and Sklearn.
  • Practical laboratory experience with instruments such as laser pump sources, spectrometers, and oscilloscopes.

These technical skills equip Zhang to independently handle complex laser system development and research experimentation.

🏆 Awards and Honors

Zhang’s exceptional academic performance has been recognized through various honors, including:

  • Outstanding Freshman Scholarship and Third-class Scholarship at Nanjing University of Information Science & Technology.
  • Gold Award in the Mathematical Modeling Competition.
  • Gold Medal in the National International College Student Innovation Competition (2024).
  • Outstanding Graduate recognition at Jiangsu University. These awards underscore his academic excellence and research potential.

🏅 Legacy and Future Contributions

Looking forward, Zhang’s research legacy is set to further impact the field of laser system development. His focus on intelligent control algorithms and high-performance lasers offers promising solutions to high-energy laser applications and optical communication systems. In the future, Zhang is expected to continue pushing the boundaries of laser technology, with the potential to influence not only academic and research sectors but also industry applications. With an increasing number of patents and publications, Zhang’s future contributions are likely to shape the trajectory of optical sciences and laser engineering.

Publications Top Notes

Intelligent controllable ultrafast fiber laser via deep learning and adaptive optimization algorithm

  • Authors: Chuhui Zhang, Pengfei Xiang, Wei Zhu, Chen Chen, Xueming Liu
  • Journal: Infrared Physics & Technology
  • Year: 2024