Sadjad Naderi | Rock Mechanics | Best Researcher Award

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Dr Sadjad Naderi | Rock Mechanics | Best Researcher Award

Senior Research Associate at Imperial College London, United Kingdom

Dr. Sadjad Naderi is a Senior Research Scientist/Engineer at Imperial College London, specializing in applied solid mechanics and microstructural analysis. With over 9 years of postdoctoral experience, he holds a PhD in failure analysis of reinforced polymer composites and is a Chartered Engineer (CEng) with the Institution of Mechanical Engineers (IMechE). Dr. Naderi has made significant contributions to AI-enhanced simulations, digital twin systems, and advanced stress analysis across aerospace, civil engineering, and geothermal drilling. His work integrates AI, FEM, DEM, and multiphysics modeling to solve complex engineering challenges. He is also an experienced mentor, educator, and advocate for EDI in academia.

Professional Profile

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Education 🎓

Dr. Naderi earned his PhD in Mechanical Engineering from the University of Malaya (2011-2015), focusing on failure analysis of polymer composites. He holds an MSc in Applied Mechanics from K.N. Toosi University of Technology, Iran (2006-2009), and a BEng in Solid Mechanics from Islamic Azad University, Iran (2001-2006). His academic journey has equipped him with expertise in computational mechanics, material characterization, and advanced simulation techniques, laying the foundation for his impactful research career.

Professional Experience 💼

Dr. Naderi has held key research roles at Imperial College London, University College London, and the University of Sheffield. At Imperial, he leads projects on digital twinning, AI-enhanced simulations, and geothermal drilling optimization. His work includes developing neural network-integrated DEM models, multiphysics frameworks for rock breakage, and surrogate models for real-time drilling optimization. Previously, he pioneered concrete fracture modeling at UCL and analyzed multi-layered ceramic capacitors at Sheffield. His industry collaborations include Fervo Energy, where he developed digital twin systems for geothermal drilling.

Awards and Honors 🏆

Dr. Naderi has received numerous accolades, including the Best Paper Award at the American Rock Mechanics Association (2024) and an £80k Impact Acceleration Account grant from Imperial College (2023). He was awarded a tuition waiver and High Impact Research grant by the University of Malaya (2012-2015). His work on AI-driven simulations and digital twins has been recognized internationally, cementing his reputation as a leader in computational solid mechanics.

Research Focus 🔍

Dr. Naderi’s research focuses on AI-enhanced simulations, digital twin systems, and multiphysics modeling for material and structural analysis. He specializes in fracture mechanics, fatigue, and impact damage, with applications in aerospace, civil engineering, and geothermal drilling. His work integrates machine learning with traditional methods like FEM and DEM to optimize material design, predict structural integrity, and develop real-time monitoring systems. He is also passionate about mentoring the next generation of researchers in computational mechanics.

Publication Top Notes 📚

  1. Optimised Hammer Drilling Bit Design using Artificial Neural Networks trained by FDEM
  2. A Discrete Element Solution Method Embedded within a Neural Network
  3. Three-Dimensional Numerical Study of DTH Bit-Rock Interaction with HPWJ Downhole Slotting
  4. 3D meso-scale modelling of tensile and compressive fracture behaviour of steel fibre reinforced concrete
  5. Meso-scale modelling of compressive fracture in concrete with irregularly shaped aggregates
  6. Meso-scale modelling of static and dynamic tensile fracture of concrete accounting for real-shape aggregates
  7. Two-scale modelling of fracture of magnesium phosphate cement under bending using X-ray computed tomography characterisation
  8. A novel framework for modelling the 3D mesostructure of steel fibre reinforced concrete
  9. An integrated framework for modelling virtual 3D irregulate particulate mesostructure
  10. Three-dimensional virtual microstructure generation of porous polycrystalline ceramics
  11. Morphology characterisation of inclusions to predict the breakdown strength in electro-ceramic materials: Microstructure modelling
  12. Thermomechanical advantages of functionally graded dental posts: A finite element analysis
  13. Modeling of porosity in hydroxyapatite for finite element simulation of nanoindentation test
  14. Alternative methods to determine the elastoplastic properties of sintered hydroxyapatite from nanoindentation testing
  15. Low-velocity impact damage of woven fabric composites: Finite element simulation and experimental verification
  16. An empirical modified fatigue damage model for impacted GFRP laminates
  17. Effect of curvature and thickness of aluminum shells on the energy absorption in low velocity impact
  18. ORCHYD: Combination of High-Pressure Water Jet and Percussion to Improve Drilling Performance in Hard Rocks

Conclusion 🌟

Dr. Sadjad Naderi is a distinguished researcher and engineer whose work bridges AI, computational mechanics, and real-world engineering challenges. His innovative approaches to digital twinning, AI-enhanced simulations, and multiphysics modeling have advanced fields ranging from aerospace to geothermal drilling. With a strong commitment to mentoring and education, Dr. Naderi continues to inspire the next generation of engineers while pushing the boundaries of computational solid mechanics. His contributions have earned him international recognition, making him a leader in his field.

 

Su Wang | Petroleum Engineering Rock Mechanics | Best Paper Award

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Mr  Su Wang | Petroleum Engineering Rock Mechanics | Best Paper Award

Student, China university of petroleum, Beijing, China 

🌟 Su Wang is a promising researcher at the China University of Petroleum, Beijing, specializing in fiber-optic monitoring for hydraulic fracturing. Under the supervision of Mian Chen, Su is dedicated to advancing the field through innovative research and applications of fiber-optic technology, aiming to enhance the efficiency and safety of hydraulic fracturing processes.

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Strengths for the Award

Su Wang is a promising researcher at China University of Petroleum, specializing in fiber-optic monitoring for hydraulic fracturing. His work showcases an impressive range of publications in reputable journals and conferences, indicating a strong foundation in both theoretical and practical aspects of petroleum engineering. Key contributions include studies on fiber-optic strain evolution during hydraulic fracturing, demonstrating his innovative approach to utilizing distributed fiber-optic technology for enhanced monitoring and understanding of complex geomechanical processes. His collaborative research efforts, evidenced by multiple co-authored papers, highlight his ability to work effectively within interdisciplinary teams. Su’s commitment to advancing the field is further reflected in his ongoing projects and in-press publications, showcasing his active engagement in cutting-edge research.

Areas for Improvement

While Su Wang has achieved considerable success, there are areas for potential growth. Expanding his research focus to include applications of fiber-optic technology in other geological contexts or industries could broaden the impact of his work. Additionally, enhancing his involvement in presenting research findings at international conferences may increase his visibility in the global scientific community. Developing skills in leadership and project management will also be beneficial as he advances in his career, enabling him to lead larger research initiatives and foster collaboration among peers.

Education

🎓 Su Wang has pursued a rigorous academic path at the China University of Petroleum, where he has developed a strong foundation in petroleum engineering and related technologies. His commitment to research and learning has been evident in his active participation in various projects focusing on the complexities of hydraulic fracturing and its monitoring techniques.

Experience

💼 Su Wang has gained practical experience in his field through several research projects and collaborations. His work includes experimental studies and theoretical analyses of fiber-optic strain evolution and its implications for hydraulic fracturing. This hands-on experience has equipped him with valuable skills and insights into the challenges and innovations within the industry.

Research Interest

🔍 Su Wang’s primary research interest lies in fiber-optic monitoring for hydraulic fracturing, where he investigates the evolution characteristics of fiber-optic strain induced by bedding fractures and other factors during hydraulic fracturing. His work aims to improve understanding and application of fiber-optic technology in monitoring subsurface conditions, ultimately contributing to safer and more effective fracturing operations.

Awards

🏆 Su Wang has been recognized for his contributions to the field through various awards and honors, reflecting his dedication to advancing knowledge in hydraulic fracturing and fiber-optic monitoring. His research efforts have led to presentations at international conferences, showcasing his commitment to sharing insights and findings with the broader scientific community.

Publications Top Notes

📚 Su Wang has authored and co-authored several significant publications in esteemed journals and conference proceedings, contributing to the body of knowledge in his research area. Notable works include:

Wang S., Chen M., Lv J., et al. (2024). Study on the Evolution Characteristics of Fiber-Optic Strain Induced by the Propagation of Bedding Fractures in Hydraulic Fracturing. Petroleum Science. Cited by: 5 articles.

Wang S., Chen M., Hao Y., et al. (2024). Evolution Mechanism of Deviated Well Fiber-optic Strain Induced by Single-fracture Propagation during Fracturing in Horizontal Wells. Engineering Fracture Mechanics. In press.

Wang S., Chen M., Chang Z., et al. (2023). Experimental Study on Indoor Multi-cluster Fracturing Based on Distributed Fibre-optical Monitoring. International Geomechanics Symposium. Cited by: 3 articles.

Wang S., Chen M., Lv J. (2024). Experimental Study on Fiber Strain Evolution Induced by Multi-fracture Propagation in Hydraulic Fracture. China Petroleum Machinery, 52(8): 101-107. Cited by: 7 articles.

Wang S., Chen M., Lv J., et al. (2024). Characteristics of Fiber-Optic Strain Evolution in Vertical Adjacent Well Induced by Hydraulic Fracture Propagation in Horizontal Well. Journal of Northeast Petroleum University, 48(4): 1-11. Cited by: 2 articles.

Conclusion

In conclusion, Su Wang is a highly qualified candidate for the Best Researcher Award. His innovative contributions to the field of hydraulic fracturing, demonstrated through his substantial publication record and collaborative research efforts, mark him as a leader among his peers. By seeking opportunities for interdisciplinary collaboration and enhancing his professional development, Su can continue to make significant strides in petroleum engineering. His dedication to research and commitment to advancing industry practices position him as a valuable asset to both academia and the field of energy resources.