Dr. Peyman Saidi | Radiation | Best Researcher Award

Canadian Nuclear Laboratories | Canada



Dr. Peyman Saidi commenced his academic journey in Materials Engineering at Shiraz University, where he obtained his Bachelor of Engineering degree in 2002. Continuing his pursuit of knowledge, he pursued a Master of Applied Science in Materials Engineering at Sharif University in 2005, focusing on the effect of strain fields on the kinetics of static recrystallization. His academic endeavors culminated in a Doctorate in Computational Materials Science and Engineering from McMaster University in 2015, with a thesis titled "Simulation Based Study of Solidification in Aluminum-Silicon System," under the guidance of Prof. Jeffrey J. Hoyt.


Dr. Saidi embarked on his professional journey as a Computational Materials Scientist at Canadian Nuclear Laboratories in January 2023. Here, he applies multi-scale modeling techniques to simulate the complex behavior of nuclear materials, leveraging high-performance computing clusters. Prior to this, he served as a Research Associate at Queen’s University from July 2016 to January 2023, working under the mentorship of Prof. Mark Daymond. During this tenure, he contributed significantly to multi-scale modeling of nuclear materials and related phenomena, presented research findings in high-impact journals and conferences, and led cross-disciplinary teams to foster longer-term partnerships.


Dr. Saidi's research primarily focuses on the design of multiscale simulations to elucidate the complex behavior of irradiated materials in the field of nuclear materials science. His expertise encompasses irradiation damage, non-equilibrium phase transformations, diffusion-related phenomena, and nuclear waste mitigation. Notably, in recent years, he has directed his efforts towards applying artificial intelligence (AI) and modern machine learning techniques to address challenges in the nuclear sector.


Dr. Saidi's contributions have made a significant impact on the advancement of computational materials science and engineering, particularly in the domain of nuclear materials. His research findings have been disseminated through numerous high-impact, peer-reviewed journals and conferences, facilitating knowledge dissemination and fostering collaboration within the scientific community.


Dr. Saidi's research has garnered considerable attention within the academic community, as evidenced by the citations his work has received. His publications have contributed to the body of knowledge in computational materials science and engineering, serving as a valuable resource for researchers and scholars in the field.


Dr. Saidi's legacy lies in his dedication to advancing the frontiers of computational materials science and engineering, particularly in the realm of nuclear materials. His continued efforts are poised to shape the future of the field, as he remains committed to driving innovation and addressing critical challenges through interdisciplinary collaboration and the application of cutting-edge technologies.


  • Citations    495
  • h-index       12
  • i10-index    19


Dr. Saidi's research delves into understanding the effects of radiation on materials, encompassing irradiation damage, non-equilibrium phase transformations, and nuclear waste mitigation. By leveraging computational modeling and artificial intelligence techniques, he aims to elucidate the underlying mechanisms governing radiation-induced phenomena, thereby contributing to the development of safer and more efficient nuclear materials and technologies.


Peyman Saidi | Radiation | Best Researcher Award

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