Hong Zheng | Computational Geomechanics | Best Researcher Award

Prof. Hong Zheng | Computational Geomechanics | Best Researcher Award

Professor at Beijing University of Technology, China

Professor Hong Zheng is a leading scholar in engineering numerical analysis, renowned for his groundbreaking work in computational geotechnical mechanics. Currently serving as a professor at Beijing University of Technology, he holds titles such as Beijing Scholar and recipient of the prestigious National Science Fund for Distinguished Young Scholars. He has played a significant role in shaping academic and practical geotechnical research in China and internationally, contributing extensively through high-impact publications, software development, and national engineering projects such as the Three Gorges Project. Recognized globally, he has been named among the top 2% of scientists in engineering and applied mathematics and consistently appears on the Elsevier Highly Cited Authors list.

Profile

ORCID

EDUCATION

Professor Zheng began his academic journey at Northeastern University, where he earned his bachelor’s degree in mechanical engineering in 1985. He continued at the same university, completing his master’s degree in solid mechanics in 1988. His academic pursuits culminated with a Ph.D. in engineering mechanics from the Graduate University of the Chinese Academy of Sciences in 2000. This comprehensive education provided the technical and analytical foundation that has enabled him to lead advancements in computational geomechanics and solid mechanics modeling.

EXPERIENCE

Professor Zheng has built a prolific career combining academic leadership with hands-on engineering experience. In addition to his professorship at Beijing University of Technology, he previously served as director of the Geotechnical Mechanics Committee under the Chinese Society of Theoretical and Applied Mechanics. He has led research and consulting initiatives on nationally significant infrastructure projects, most notably the Three Gorges Project, offering expertise in soil-structure interaction and stability analysis. His professional efforts have been instrumental in forming national standards and improving commercial geotechnical software systems.

RESEARCH INTEREST

Professor Zheng’s research is primarily focused on computational geotechnical mechanics. His expertise lies in numerical simulations of geotechnical systems, including finite element methods, constitutive modeling, and coupled thermo-hydro-mechanical analysis. He is especially interested in geotechnical reliability, slope stability, and soil-structure interaction, and has developed innovative models that are widely used in academia and practice. His work bridges engineering theory and application, resulting in methodologies that are integrated into educational textbooks and adopted in international engineering standards.

AWARD

In recognition of his scientific excellence, Professor Zheng has received multiple prestigious awards. Notably, he is a recipient of the National Science Fund for Distinguished Young Scholars. His work has earned him continued placement on the Elsevier Highly Cited Researchers list and inclusion in Stanford University’s list of the top 2% of global scientists in engineering and applied mathematics. These accolades reflect his consistent contributions to high-impact research, academic leadership, and engineering innovation, both nationally and internationally.

PUBLICATION

Professor Zheng has published nearly 100 SCI-indexed articles in renowned journals. Highlighted works include: (1) “A novel strength reduction method for slope stability analysis based on finite element limit analysis,” Computers and Geotechnics, 2014, cited by 350+ articles; (2) “Three-dimensional slope stability analysis considering progressive failure,” Int. J. for Numerical and Analytical Methods in Geomechanics, 2016, cited by 220+ articles; (3) “Nonlinear analysis of tunnel excavation-induced ground settlement,” Tunnelling and Underground Space Technology, 2013, cited by 180+ articles; (4) “Numerical investigation of the bearing behavior of pile groups in layered soils,” Soils and Foundations, 2015, cited by 160+ articles; (5) “A coupled thermo-hydro-mechanical model for saturated porous media,” Acta Geotechnica, 2017, cited by 200+ articles; (6) “Implementation of a user-defined constitutive model in commercial geotechnical software,” Geomechanics and Engineering, 2018, cited by 110+ articles; (7) “Analysis of soil-structure interaction under dynamic loading conditions,” Engineering Geology, 2012, cited by 190+ articles.

CONCLUSION

Given his exceptional academic qualifications, influential research, high-impact publications, prestigious recognitions, and sustained leadership in engineering mechanics and geotechnics, Professor Hong Zheng is an outstanding candidate for the Research for Best Researcher Award. His career not only demonstrates excellence but also reflects a profound and lasting impact on both national and international scales.

Sadjad Naderi | Rock Mechanics | Best Researcher Award

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

Google Scholar

Orcid

Scopus

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.

 

Mian Chen – Petroleum Engineering Rock Mechanics – Best Researcher Award

Mian Chen - Petroleum Engineering Rock Mechanics - Best Researcher Award

China University of Petroleum - China

AUTHOR PROFILE

SCOPUS

MIAN CHEN: PETROLEUM ENGINEERING LEADER 🛢️

Dr. Mian Chen is a distinguished professor at the China University of Petroleum, specializing in petroleum-related rock mechanics. With over three decades of expertise in oil and gas engineering, Dr. Chen earned his Ph.D. from China University of Mining and Technology, after obtaining a B.S. in Mechanics and an M.S. in Mathematics. His academic contributions have significantly advanced the field of petroleum engineering, particularly in unconventional oil and gas production.

EXPERT IN ROCK MECHANICS 🪨

Dr. Chen’s research focuses on rock mechanics in petroleum engineering, particularly in relation to oil and gas reservoirs. His work on hydraulic fracturing technology and wellbore stability is pivotal in improving extraction techniques in challenging geological formations. Through his expertise, Dr. Chen has developed innovative methods that ensure safer and more efficient oil and gas extraction.

PIONEER IN HYDRAULIC FRACTURING 💧

Hydraulic fracturing technology is one of Dr. Chen’s core areas of research. His studies focus on optimizing fracturing techniques to maximize unconventional oil and gas production. His breakthroughs in this field have led to more sustainable practices and have enhanced the efficiency of well stimulation, helping meet global energy demands.

LEADER IN RESERVOIR SIMULATION 🛠️

Mian Chen has made significant contributions to reservoir geomechanics and simulation. His research involves analyzing the behavior of oil and gas reservoirs under stress, ensuring the stability of wellbores and the integrity of reservoir structures. These insights have been instrumental in designing more resilient oil and gas wells, enhancing their performance and safety.

ACADEMIC AND INDUSTRY INFLUENCE 📚

As a member of numerous professional societies, including the Chinese Society for Rock Mechanics and Engineering (CSRME), Dr. Chen plays a leading role in shaping the field of petroleum engineering. His membership in both national and international committees, as well as his contributions to editorial boards, reflects his influence on academic and industry standards in rock mechanics and petroleum engineering.

AWARD-WINNING RESEARCHER 🏆

Dr. Chen’s contributions have been widely recognized, including his authorship of influential publications such as Rock Mechanics in Petroleum Engineering. His work has earned him a prominent position in academic and industrial circles, where his innovations continue to drive advancements in petroleum engineering technologies.

GLOBAL COLLABORATOR AND MENTOR 🌍

In addition to his work in China, Dr. Chen has collaborated internationally, including serving as a visiting scholar at the University of Oklahoma. His leadership in the Key Laboratory for Oil & Gas Reservoir Stimulation, under China National Petroleum Corporation, showcases his commitment to mentoring the next generation of engineers and advancing global research in petroleum extraction.

NOTABLE PUBLICATION

Title: Creep Characteristics Research of Ultra-deep Composite Rock Salt in Tarim Basin Based on 2D Image Contour Identification
Authors: Ju, Y., Chen, M., Lu, Y.
Journal: Rock Mechanics and Rock Engineering
Year: 2024

Title: Experimental Study on Tensile Strength of Sandstone Under Biaxial Compressive Stress
Authors: Ju, Y., Chen, M., Yang, S.
Journal: Petroleum Science Bulletin
Year: 2024

Title: An Adaptive Physics-Informed Deep Learning Method for Pore Pressure Prediction Using Seismic Data
Authors: Zhang, X., Lu, Y.-H., Jin, Y., Chen, M., Zhou, B.
Journal: Petroleum Science
Year: 2024

Title: A Continuous and Long-term In-situ Stress Measuring Method Based on Fiber Optic. Part I: Theory of Inverse Differential Strain Analysis
Authors: Zhang, K.-P., Chen, M., Zhao, C.-J., Wang, S., Fan, Y.-D.
Journal: Petroleum Science
Year: 2024

Title: A General Fractal-Based Multi-Scale Quin-Medium Model for Gas Transport in Deep Shale Reservoir
Authors: Song, W., Lu, Y., Qiao, X., Jin, Y., Chen, M.
Journal: Fractals
Year: 2024