Ahmed Elmekawy | Startups and Industry Applications | Research Excellence Award

Dr. Ahmed Elmekawy | Startups and Industry Applications | Research Excellence Award

Researcher | Saint Petersburg State University | Egypt

Dr. Ahmed Hassan Abdelrahman Elmekawy is a researcher in Condensed Matter Physics, specializing in magnetic nanowires, FORC (First-Order Reversal Curve) analysis, micromagnetic modeling, and nanoscale magnetism. He is affiliated with JINR, St. Petersburg State University, and the Cyclotron Project at the Egyptian Atomic Energy Authority (EAEA). His work bridges theoretical modeling and advanced experimental techniques for understanding magnetic behavior in low-dimensional nanostructures.Dr. Elmekawy has authored 11 scientific publications, accumulating 71 citations, with an h-index of 4 and an i10-index of 3, reflecting his growing visibility and influence in nanomagnetism research. His contributions focus on unraveling magnetization dynamics internal magnetic interactions and structural property relationships in iron and Ni/Cu nanowire arrays which are foundational materials for next-generation spintronic devices magnetic sensors and energy-efficient data storage systems.Among his notable works his publication Magnetic Properties and FORC Analysis of Iron Nanowire Arrays stands as a highly cited study that advanced the interpretation of magnetic interactions through FORC techniques. His subsequent studies including “Magnetic Properties of Ordered Arrays of Iron Nanowires: The Impact of Length and Effect of Interactions and Non-uniform Magnetic States on Magnetization Reversal  further deepened scientific understanding of nanoscale magnetism and geometrical effects on magnetization reversal mechanisms.His recent publications in Nano-Structures & Nano-Objects and Journal of Magnetism and Magnetic Materials highlight significant advancements in correlating FORC measurements with micromagnetic simulations demonstrating compatibility between theoretical modeling and experimental observations. These studies provide new frameworks for evaluating internal magnetic interactions in segmented and non-segmented nanowire systems offering new tools for material optimization.In addition to nanomagnetism Dr. Elmekawy has contributed to nuclear physics particularly through work on proton and antiproton scattering from He using Glauber multiple scattering models. His interdisciplinary collaborations span Russia, Egypt, and Europe, showcasing strong international engagement.Dr. Elmekawy’s research contributes to societal and technological innovation by supporting the development of advanced magnetic materials crucial for secure communication systems biomedical imaging energy systems and miniaturized electronic components. His scientific trajectory reflects a commitment to precision collaboration and impactful discovery.

Profile: Googlescholar

Featured Publications

1.Elmekawy, A. H. A., Iashina, E. G., Dubitskiy, I. S., Sotnichuk, S. V., & Bozhev, I. V., et al. (2020). Magnetic properties and FORC analysis of iron nanowire arrays. Materials Today Communications, 25, 101609.  Cited By: 26

2.Elmekawy, A. H. A., Iashina, E., Dubitskiy, I., Sotnichuk, S., Bozhev, I., & Kozlov, D., et al. (2021). Magnetic properties of ordered arrays of iron nanowires: The impact of the length. Journal of Magnetism and Magnetic Materials, 532, 167951. Cited By: 20

3.Dubitskiy, I. S., Elmekawy, A. H. A., Iashina, E. G., Sotnichuk, S. V., & Napolskii, K. S., et al. (2021). Effect of interactions and non-uniform magnetic states on the magnetization reversal of iron nanowire arrays. Journal of Superconductivity and Novel Magnetism, 34(2), 539–549. Cited By: 16

4.Mistonov, A. A., Dubitskiy, I. S., Elmekawy, A. H. A., Iashina, E. G., & Sotnichuk, S. V., et al. (2021). Change in the direction of the easy magnetization axis of arrays of segmented Ni/Cu nanowires with increasing Ni segment length. Physics of the Solid State, 63(7), 1058–1064. Cited By: 7

5.Nabiyev, A. A., Mustafayev, I. I., Mehdiyeva, R. N., Nuriyev, M. A., & Andreev, E. V., et al. (2025). Post‐γ‐irradiation effects in nano-SiO2 particle reinforced high-density polyethylene composite films: Structure–property relationships, thermal stability, and degradation. Polymer Composites. Cited By: 1

Dr. Ahmed Elmekawy’s research in magnetic nanowires and FORC analysis advances fundamental understanding of nanoscale magnetism, enabling innovations in spintronics, high-density data storage, and energy-efficient magnetic devices. His interdisciplinary work bridges theory and experiment, contributing to technological development, materials science, and global scientific progress.

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Nanjing University of Information Science and Technology, China

👨‍🎓 Profiles

Scopus

Publications

Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; J. Li, Jiale; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: ACS Sensors
    Year: 2025

Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water

  • Authors: Y. Huang, Yiru; S. Li, Shenyue; W. Hu, Wenguang; Q. Li, Qingfang; L. Zhang, Lei
    Journal: ACS Applied Materials and Interfaces
    Year: 2024

Data-driven exploration of terbium-doped tungsten oxide for Ultra-Precise detection of 3H-2B: Implications for gas sensor applications

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; L. Zhang, Lei; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: Chemical Engineering Journal
    Year: 2024

Ionic liquid-assisted preparation of Ag–Zn–In–S quaternary quantum dot thin films and luminescence performance optimized by machine learning

  • Authors: S. Wei, Song; X. Luo, Xiang; S. Shao, Shaofeng; L. Zhang, Lei
    Journal: Dyes and Pigments
    Year: 2024

Miao-Li-Industrial-Best Researcher Award

Assoc Prof Dr. Miao-Li-Industrial-Best Researcher Award

Wuhan University-China 

Author Profile

Early Academic Pursuits

Assoc Prof Dr. Miao Li's academic journey began at Huazhong University of Science and Technology, where he pursued a Bachelor's degree in Mechanical Engineering. This foundational education provided him with a solid understanding of engineering principles, setting the stage for his future endeavors in robotics. His passion for advanced technologies led him to further his studies at the renowned École Polytechnique Fédérale de Lausanne (EPFL), where he earned his Ph.D. in Robotics and Intelligent Systems under the mentorship of Professor Aude Billard.

Professional Endeavors

Upon completing his doctoral studies, Assoc Prof Dr. Miao Li's embarked on a distinguished career as an Associate Professor at Wuhan University. Here, he assumed leadership roles as a doctoral advisor for the Institute of Technological Sciences and the School of Microelectronics. He also served as the executive director of the Medical Engineering Research Institute and the deputy director of the Hubei Provincial Engineering Research Center for IC Packaging and Integration. These positions allowed him to leverage his expertise in robotics to drive innovation and foster collaboration in various academic and research endeavors.

Contributions and Research Focus

Assoc Prof Dr. Miao Li's research focuses on the application of robot learning and multi-robot coordination in advanced equipment manufacturing. His work in robotic grasping and autonomous manipulation, particularly under complex conditions, has been groundbreaking. One of his notable contributions is the concept of dynamic grasp adaptation, which has garnered international recognition and significantly advanced the field of robotics. Through his research, Dr. Li aims to develop intelligent systems that can adapt to changing environments and perform tasks with precision and efficiency.

Accolades and Recognition

Assoc Prof Dr. Miao Li's contributions to the field of robotics have earned him numerous accolades and recognition. He was awarded the prestigious Swiss ABB Robotics Award for his pioneering work in dynamic grasp adaptation. Additionally, he has received the EPFL Outstanding Doctoral Dissertation Award and has secured multiple Best Paper Awards at international conferences. His achievements also include competitive placements in renowned robotics challenges such as IROS and ICRA.

Impact and Influence

Assoc Prof Dr. Miao Li's research has had a profound impact on various industries, including service robotics, aviation, composite materials, semiconductors, and the power sector. His innovative solutions have led to advancements in robotic technology, improving efficiency and productivity in manufacturing processes. Moreover, his prolific publication record and extensive patent portfolio reflect his commitment to advancing the boundaries of knowledge in robotics and intelligent systems.

The Industrial Award represents the pinnacle of achievement in the dynamic world of industry. It serves as a testament to the relentless pursuit of excellence, acknowledging the visionary leaders, pioneering innovators, and dedicated professionals who shape the landscape of modern commerce. From groundbreaking technological advancements to revolutionary business strategies, recipients of this esteemed accolade epitomize the spirit of progress and innovation.

Legacy and Future Contributions

As a leading figure in the field of robotics, Assoc Prof Dr. Miao Li's legacy is characterized by his unwavering dedication to innovation and excellence. His contributions have not only shaped the current landscape of robotics but also paved the way for future advancements in the field. Moving forward, Dr. Li remains committed to pushing the boundaries of technology and driving impactful research that addresses real-world challenges. His continued leadership and vision are poised to leave a lasting legacy in the field of robotics and beyond.

Citations

  • Citations      1350
  • h-index            19
  • i10-index          28

Notable Publication