Ruilin Yang | Mechanics | Best Researcher Award

Dr. Ruilin Yang | Mechanics | Best Researcher Award

Dr. Ruilin Yang, Orica, United States

Dr. Ruilin Yang, Ph.D., FCAE, is an esteemed mining engineer and researcher with expertise in rock mechanics, blasting technology, and geophysical modeling. Born in Inner Mongolia, China, he pursued higher education in China, Australia, and Canada, making significant contributions to mining engineering. His work spans theoretical advancements and applied research in open-pit and underground mining. Dr. Yang has held academic and research positions at institutions such as Northeast University, the University of Queensland, Queen’s University, CSIRO, and ICI Canada. His innovative research on blast damage modeling and muckpile formation has been widely recognized in the industry. With dual citizenship in the US and Canada, he has contributed extensively to advancing geotechnical engineering through publications, consulting, and applied field research. His contributions to the mining industry have earned him global recognition, and his work continues to influence modern mining practices worldwide.

Publication Profile

Orcid

πŸŽ“ Education

Dr. Ruilin Yang earned his B.Sc. (Hons) in Mining Engineering from Northeast University, China, in 1982. He was awarded a scholarship to study in Australia, where he completed a Master Qualifying Project at the JK Mineral Research Center, University of Queensland, in 1985. His project focused on developing rock characterization methods using geophysical theories, including the constant Q model and acoustic pulse propagation. He obtained his Ph.D. in Mining Engineering from the University of Queensland in 1990, specializing in 3D kinematic modeling of muckpile formation for open-pit blasting. His doctoral research contributed to blast design improvements in Australian open-pit mines. His academic journey continued with postdoctoral research at Queen’s University, Canada, focusing on near-field blast monitoring and blast damage modeling. His diverse educational background provided him with expertise in geomechanics, computational modeling, and mining engineering, allowing him to make groundbreaking contributions to the field.

πŸ’Ό Experience

Dr. Yang has an extensive research and professional career in mining engineering. He started as a Research Assistant at Northeast University (1981–1984), working on stress wave modeling and fuzzy mathematics for rock classification. He then pursued postdoctoral research at the JK Mineral Research Center, focusing on muckpile formation modeling. Later, he worked as a Research Fellow at CSIRO, Australia (1990–1991), applying finite element modeling to underground mines. At Queen’s University, Canada (1991–1993), he developed a blast damage model based on extensional strain failure. From 1993 to 1995, he worked as a Scientist at ICI Canada, where he conducted explosive testing, blast diagnostics, and vibration control in mining operations. His work has significantly influenced mining practices, particularly in blast optimization and geomechanical modeling. His expertise spans both theoretical and applied mining engineering, making substantial contributions to industry practices, safety protocols, and mining efficiency worldwide.

πŸ† Awards & Honors

Dr. Yang’s contributions to mining engineering have been widely recognized. He is a Fellow of the Canadian Academy of Engineering (FCAE), acknowledging his impact on geomechanics and blasting technology. His research on blast damage modeling and muckpile formation has been instrumental in the field, leading to numerous citations and industry applications. He has received multiple awards for his work on geophysical modeling, seismic analysis, and mining optimization. His papers have been published in leading international journals, earning him recognition among the top researchers in mining engineering. He has also received prestigious research grants and fellowships from leading institutions in China, Australia, and Canada. His innovative approaches to blast damage reduction and seismic vibration analysis have set new standards in mining operations, enhancing safety and efficiency. His contributions continue to influence academia, industry, and policy-making in the mining and geotechnical sectors.

πŸ”¬ Research Focus

Dr. Yang’s research focuses on mining engineering, geomechanics, and blasting technology. His early work involved stress wave modeling and fuzzy mathematics for rock classification. He later developed advanced geophysical techniques to analyze rock mass properties, leading to the creation of a model for acoustic pulse propagation. His Ph.D. research on 3D kinematic modeling of muckpile formation revolutionized open-pit blasting techniques. He has also contributed to finite element modeling of underground mines and near-field blast damage assessment. His work on blast-induced vibration monitoring has helped minimize structural damage and improve mining safety. His research integrates computational modeling, field experiments, and geophysical analysis, bridging the gap between theory and practical mining applications. His findings have been widely applied in the mining industry, optimizing blast designs and reducing environmental impacts. Through his publications and industry collaborations, he has established himself as a leading expert in rock mechanics and mining engineering.

 

Publication Top Notes

  • β€œA New Constitutive Model of Blast Damage” (1996) – Cited by 150 ​

  • β€œMeasurement and Analysis of Near Field Vibration and Damage” (1994) – Cited by 120 ​LinkedIn

  • β€œAn Integrated Technique for Vibration Monitoring Adjacent to a Blast Hole” (1993) – Cited by 90 ​

  • β€œA Model of Acoustic Pulse Propagation and Its Application to Determine Q for a Rock Mass” (1990) – Cited by 85 ​

  • β€œA Three-Dimensional Model of Muckpile Formation and Grade Boundary Movement in Open Pit Blasting” (1990) – Cited by 75 ​

  • β€œA Two-Dimensional Model for Prediction of Muckpile Shape in Bench Blasting” (1989) – Cited by 65 ​

  • β€œApplication of Geostatistics to the Analysis of Seismic Data” (1988) – Cited by 50 ​

  • β€œApplication of Fuzzy Mathematics to Rock Classification” (1985) – Cited by 40 ​

  • β€œStudy of the Application of Fuzzy Mathematics to Rock Classification” (1985) – Cited by 30 ​

  • β€œRelate Peak Particle Velocity of Seismic Wave to 3D Dynamic Strain” (2017) – Cited by 25 ​ADS+1

 

Srihari Dodla | Computational Mechanics | Best Researcher Award

Assist. Prof. Dr. Srihari Dodla | Computational Mechanics | Best Researcher Award

Assist Prof Dr. Srihari Dodla, Indian Institute of Technology (BHU) Varanasi, Varanasi India, India

Dr. Srihari Dodla is currently an Assistant Professor at the Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, India. He holds a Ph.D. from Otto von Guericke University, Germany, where his thesis focused on β€œExperimental Investigations and Numerical Simulations of Lamellar Cu-Ag Composites.” His research interests lie in texture evolution and multiscale modeling of polycrystalline materials, particularly focusing on crystallographic orientations, microstructural evolution, and micromechanical-based high-fidelity models. He has published extensively in international journals and proceedings and has delivered numerous conference talks on his findings in material sciences.

Publication Profile

Google Scholar

Academic Background

Dr. Dodla holds a PhD in Mechanics from Otto von Guericke University, Germany (2015), with prior degrees in Solid Mechanics (MTech) from IIT Madras, India (2011), and Mechanical Engineering (BTech) from SV University, India (2009). His academic journey has been marked by excellent performance, including an 8.87 CGPA in his MTech.

Research Interests

Assist. Prof. Dr. Srihari Dodla’s research primarily focuses on texture evolution and multiscale modeling of polycrystalline materials. His interests lie in understanding crystallographic orientations during primary and secondary processing and how flow and hardening parameters affect microstructural evolution. He works with advanced models such as the High-Fidelity Generalized Method of Cells (HFGMC), Taylor model, and representative volume elements (RVE) using elastoviscoplastic material models.

Awards

Dr. Dodla has been honored with prestigious awards such as the German Science Foundation (DFG) grant for his PhD research, a DAAD fellowship, and an Israel government scholarship for post-doctoral research. These awards reflect his commitment to high-level research and international recognition.

Conclusion

Assist. Prof. Dr. Srihari Dodla’s research contributions in multiscale modeling, texture evolution, and solid mechanics, along with his international awards and academic leadership, make him a strong candidate for the Best Researcher Award. His work bridges advanced modeling techniques with practical engineering applications, demonstrating excellence in research and scientific outreach.

 

Publication Top Notes

  • Finite element simulation of lamellar copper–silver composites | 23 citations | 2015 πŸ§ͺπŸ“Š
  • Prediction of friction coefficient of su-8 and its composite coatings using machine learning techniques | 16 citations | 2023 πŸ€–πŸ”§
  • Microstructure, flow behavior, and bulk texture evolution of cold drawn copper–silver composites | 15 citations | 2015 πŸ§¬πŸ› οΈ
  • Effect of load, sliding frequency, and temperature on tribological properties of graphene nanoplatelets coated carbon fiber reinforced polymer composites | 13 citations | 2023 πŸŽοΈπŸ“‰
  • Micromechanical analysis for two-phase copper-silver composites under large deformations | 8 citations | 2017 πŸ”πŸ”§
  • Mechanical and tribological properties of CNTs coated aramid fiber-reinforced epoxy composites | 7 citations | 2024 πŸ§΅πŸš€
  • Numerical study of the deformation behavior of eutectic Cu/Ag polycrystals | 7 citations | 2016 πŸ”¬πŸ“
  • Crystal-plasticity simulation of micromachining of single-crystal metal: methodology and analysis | 5 citations | 2016 πŸ”§πŸ–₯️
  • Finite element machining simulations of aerospace materials | 4 citations | 2021 βœˆοΈπŸ“Š
  • Characterization of aerospace alloys: Effect of machining | 3 citations | 2016 βœˆοΈπŸ”