Imperial College London - United Kingdom
Author ProfileĀ
GOOGLE SCHOLARĀ
š Early academic pursuits
Sadjad Naderi embarked on his academic journey with a strong foundation in engineering and materials science, leading to a ph.d. focused on failure analysis of reinforced polymer composites. his passion for understanding material behavior under extreme conditions laid the groundwork for his future innovations. throughout his studies, he demonstrated exceptional analytical skills, combining experimental and computational approaches to explore the mechanical properties of heterogeneous materials. his early research provided valuable insights into material degradation, fracture mechanics, and structural optimization, setting the stage for a career dedicated to advancing solid mechanics.
š Professional endeavors
As a senior research associate at imperial college london, sadjad naderi has amassed over nine years of postdoctoral experience at renowned institutions, including university college london, sheffield university, and the university of malaya. his work spans multiple industries, from aerospace and civil engineering to electrical devices and dental applications. he has played a pivotal role in pioneering numerical and experimental analysis techniques, particularly in failure analysis, impact damage assessment, and the optimization of composite structures. his expertise in finite element method (fem), discrete element method (dem), and coupled fem-dem simulations has contributed to significant advancements in computational mechanics.
š§ Contributions and research focus
Naderi's research has been instrumental in bridging the gap between artificial intelligence and solid mechanics. he has developed cutting-edge methodologies integrating ai-driven simulations with physics-based models, revolutionizing material and structure modeling. his work on digital twin systems for drilling technology optimization has led to substantial improvements in drilling efficiency and cost reduction. by coupling finite-discrete element methods with machine learning, he has enabled real-time prediction of rock fracture behavior, minimizing tool failure rates Renewable Energy Technologies and enhancing operational safety. his research focus extends to material design, multiphysics multiscale modeling, and ai-driven structural analysis, addressing challenges in multifunctional composites and advanced material characterization.
š Accolades and recognition
Naderiās contributions to applied solid mechanics have been widely recognized within the scientific community. with an impressive citation index of 533 on google scholar and 462 on scopus, his research impact is evident. he has published 18 high-impact journal papers and holds two patents in innovative computational approaches for material behavior prediction. as a chartered Renewable Energy Technologies engineer (ceng) and a member of the institution of mechanical engineers (imeche, uk), he has established himself as a leading expert in his field. his work has gained recognition from both academia and industry, solidifying his reputation as a trailblazer in advanced simulation techniques.
šØāš» Impact and influence
Naderiās research has significantly influenced industrial practices, particularly in drilling technology. his ai-integrated digital twin system has been adopted by leading drilling companies, Renewable Energy Technologies enhancing operational efficiency and reducing tool failure rates by 30%. his innovative hybrid computational approach has created a new paradigm for digital twins, applicable across various engineering sectors requiring rapid fracture prediction. through his collaborations with top universities and industry leaders, including drillco, drillstar, mines paris tech, university of glasgow, and university of utah, he has facilitated knowledge transfer and joint research initiatives, driving innovation at the intersection of academia and industry.
š Legacy and future contributions
As a visionary researcher, naderi continues to push the boundaries of applied solid mechanics. his future work aims to further integrate artificial intelligence with physics-based simulations, expanding the capabilities of digital twin systems for complex material behavior analysis. his commitment to sustainability and efficiency in engineering applications ensures that his contributions will have a lasting impact on multiple industries. by mentoring young researchers and collaborating on international projects, he is shaping the next generation of scientists and engineers, leaving behind a legacy of innovation and excellence in computational mechanics
Notable PublicationsĀ
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Title: Meso-scale modelling of compressive fracture in concrete with irregularly shaped aggregates
Author(s): S. Naderi, W. Tu, M. Zhang
Journal: Cement and Concrete Research
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Title: Meso-scale modelling of static and dynamic tensile fracture of concrete accounting for real-shape aggregates
Author(s): S. Naderi, M. Zhang
Journal: Cement and Concrete Composites
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Title: Low-velocity impact damage of woven fabric composites: Finite element simulation and experimental verification
Author(s): M.A. Hassan, S. Naderi, A.R. Bushroa
Journal: Materials & Design
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Title: 3D meso-scale modelling of tensile and compressive fracture behaviour of steel fibre reinforced concrete
Author(s): S. Naderi, M. Zhang
Journal: Composite Structures
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Title: A novel framework for modelling the 3D mesostructure of steel fibre reinforced concrete
Author(s): S. Naderi, M. Zhang
Journal: Computers & Structures