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

🎓 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.

💼 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.

🏆 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.

🔬 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

  • “A New Constitutive Model of Blast Damage” (1996) – Cited by 150

  • “Measurement and Analysis of Near Field Vibration and Damage” (1994) – Cited by 120LinkedIn

  • “An Integrated Technique for Vibration Monitoring Adjacent to a Blast Hole” (1993) – Cited by 90

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

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

  • “A Two-Dimensional Model for Prediction of Muckpile Shape in Bench Blasting” (1989) – Cited by 65

  • “Application of Geostatistics to the Analysis of Seismic Data” (1988) – Cited by 50

  • “Application of Fuzzy Mathematics to Rock Classification” (1985) – Cited by 40

  • “Study of the Application of Fuzzy Mathematics to Rock Classification” (1985) – Cited by 30

  • “Relate Peak Particle Velocity of Seismic Wave to 3D Dynamic Strain” (2017) – Cited by 25ADS+1

 

Hanan Lu | Fluid Machinery | Best Researcher Award

Assist. Prof. Dr. Hanan Lu | Fluid Machinery | Best Researcher Award

Assistant Professor at Beihang University, China

Hanan Lu is an Assistant Professor at the School of Energy and Power Engineering, Beihang University, China. He specializes in turbomachinery aerodynamics, computational fluid dynamics, and machine-learning-based optimization. With extensive research in flow control and loss mechanisms, he has contributed significantly to advancing energy-efficient propulsion systems. Dr. Lu has collaborated with leading experts worldwide, including Washington University in St. Louis, Imperial College, and Tsinghua University. His expertise spans fan/compressor aerodynamic design and surrogate-based optimization. A dedicated researcher, he actively reviews for top-tier journals and conferences in aerospace and energy.

Publication Profile

scopus

Education Background 🎓

Hanan Lu earned his B.S. in Flight Vehicle Propulsion Engineering from Beihang University, Beijing, China, in 2012. He pursued his Ph.D. in Fluid Machinery and Engineering at Beihang University, completing it in 2018. His doctoral research focused on computational fluid dynamics and turbomachinery aerodynamics. To expand his expertise, he became a visiting scholar at Washington University in St. Louis from 2016 to 2017 under the supervision of Ramesh K. Agarwal. His education has laid a strong foundation in turbomachinery design, fluid dynamics, and optimization techniques, contributing to his current research in machine learning applications in aerodynamics.

Professional Background 💼

Dr. Hanan Lu has held key academic and research positions in aerospace engineering. Since 2021, he has been an Assistant Professor at Beihang University, where he leads research in turbomachinery aerodynamics and flow control. Prior to this, he was a Postdoctoral Researcher (2018-2020) at the same institution, focusing on computational fluid dynamics and machine-learning-driven optimization. His international experience includes a visiting scholar position at Washington University in St. Louis (2016-2017), where he collaborated on advanced aerospace engineering topics. He has worked extensively with experts worldwide, contributing to major scientific journals and international conferences.

Awards and Honors🏆

Dr. Hanan Lu has received prestigious accolades for his contributions to aerospace engineering. In 2022, he was awarded the “Young Elite Scientist” Sponsorship by the Beijing Association for Science and Technology and the “Young Outstanding Talents” award from Beihang University. He also received the Second Prize of the Science and Technology Award from the Chinese Academy of Aeronautics in 2020. His excellence as a researcher was recognized with the “Distinguished Postdoctoral Researcher” Award by Beihang University in 2020. These honors reflect his outstanding impact on turbomachinery aerodynamics and computational fluid dynamics.

Research Focus🔬

Dr. Hanan Lu’s research focuses on cutting-edge topics in turbomachinery, particularly data-driven machine learning applications in aerodynamic design. His expertise includes loss mechanisms and flow control in turbomachinery, computational fluid dynamics, and aerodynamic optimization of fans and compressors. He is actively involved in surrogate-based optimization, aiming to enhance energy efficiency in propulsion systems. His contributions extend to high-fidelity simulations and experimental validations in aerospace engineering. As an expert reviewer for leading journals, he ensures the dissemination of innovative research in fluid mechanics and machine learning applications in turbomachinery.

Publication Top Notes

📌 An efficient cooling design strategy for the embedded driving motor under the hub by using the high-pressure airflow after the rotor in an electrical ducted fan system
 Year: 2025

📌 Non-axisymmetric diffuser pipe design to suppress the eccentric jet flow characteristic in a high-pressure angle valve
 Year: 2025

📌 A loss reduction design strategy for a ducted fan under boundary layer ingestion condition based on a lip bump
 Year: 2025

📌 Load-oriented aerodynamic design approach of low-speed axial fans in the preliminary design stage
 Year: 2025

Conclusion

Dr. Hanan Lu is an exceptional researcher in aerospace engineering, specializing in turbomachinery, aerodynamics, and computational fluid dynamics. With a Ph.D. from Beihang University and extensive research in boundary layer ingestion (BLI) fans, loss prediction, and machine learning applications, he has made significant contributions to the field. His work has been published in top-tier journals like Progress in Aerospace Sciences, Physics of Fluids, and ASME Journal of Turbomachinery. As a visiting scholar at Washington University in St. Louis, he collaborated with renowned expert Prof. Ramesh K. Agarwal. Dr. Lu has received multiple prestigious awards, including the Young Elite Scientist Sponsorship and Young Outstanding Talent Award, and serves as a reviewer for leading journals. His innovative research enhances computational efficiency and optimization in turbomachinery. With his strong academic background, impactful publications, and global recognition, Dr. Lu is a compelling candidate for Beihang University’s Best Researcher Award.

Hanan Lu | Fluid Machinery | Best Researcher Award

Assist. Prof. Dr. Hanan Lu | Fluid Machinery | Best Researcher Award

Assistant Professor at Beihang University, China

Hanan Lu is an Assistant Professor at the School of Energy and Power Engineering, Beihang University, China. He specializes in turbomachinery aerodynamics, computational fluid dynamics, and machine-learning-based optimization. With extensive research in flow control and loss mechanisms, he has contributed significantly to advancing energy-efficient propulsion systems. Dr. Lu has collaborated with leading experts worldwide, including Washington University in St. Louis, Imperial College, and Tsinghua University. His expertise spans fan/compressor aerodynamic design and surrogate-based optimization. A dedicated researcher, he actively reviews for top-tier journals and conferences in aerospace and energy.

Publication Profile

Scopus

Education Background 🎓

Hanan Lu earned his B.S. in Flight Vehicle Propulsion Engineering from Beihang University, Beijing, China, in 2012. He pursued his Ph.D. in Fluid Machinery and Engineering at Beihang University, completing it in 2018. His doctoral research focused on computational fluid dynamics and turbomachinery aerodynamics. To expand his expertise, he became a visiting scholar at Washington University in St. Louis from 2016 to 2017 under the supervision of Ramesh K. Agarwal. His education has laid a strong foundation in turbomachinery design, fluid dynamics, and optimization techniques, contributing to his current research in machine learning applications in aerodynamics.

Professional Background 💼

Dr. Hanan Lu has held key academic and research positions in aerospace engineering. Since 2021, he has been an Assistant Professor at Beihang University, where he leads research in turbomachinery aerodynamics and flow control. Prior to this, he was a Postdoctoral Researcher (2018-2020) at the same institution, focusing on computational fluid dynamics and machine-learning-driven optimization. His international experience includes a visiting scholar position at Washington University in St. Louis (2016-2017), where he collaborated on advanced aerospace engineering topics. He has worked extensively with experts worldwide, contributing to major scientific journals and international conferences.

Awards and Honors🏆

Dr. Hanan Lu has received prestigious accolades for his contributions to aerospace engineering. In 2022, he was awarded the “Young Elite Scientist” Sponsorship by the Beijing Association for Science and Technology and the “Young Outstanding Talents” award from Beihang University. He also received the Second Prize of the Science and Technology Award from the Chinese Academy of Aeronautics in 2020. His excellence as a researcher was recognized with the “Distinguished Postdoctoral Researcher” Award by Beihang University in 2020. These honors reflect his outstanding impact on turbomachinery aerodynamics and computational fluid dynamics.

Research Focus🔬

Dr. Hanan Lu’s research focuses on cutting-edge topics in turbomachinery, particularly data-driven machine learning applications in aerodynamic design. His expertise includes loss mechanisms and flow control in turbomachinery, computational fluid dynamics, and aerodynamic optimization of fans and compressors. He is actively involved in surrogate-based optimization, aiming to enhance energy efficiency in propulsion systems. His contributions extend to high-fidelity simulations and experimental validations in aerospace engineering. As an expert reviewer for leading journals, he ensures the dissemination of innovative research in fluid mechanics and machine learning applications in turbomachinery.

Publication Top Notes

📌 An efficient cooling design strategy for the embedded driving motor under the hub by using the high-pressure airflow after the rotor in an electrical ducted fan system
 Year: 2025

📌 Non-axisymmetric diffuser pipe design to suppress the eccentric jet flow characteristic in a high-pressure angle valve
 Year: 2025

📌 A loss reduction design strategy for a ducted fan under boundary layer ingestion condition based on a lip bump
 Year: 2025

📌 Load-oriented aerodynamic design approach of low-speed axial fans in the preliminary design stage
 Year: 2025

Conclusion

Dr. Hanan Lu is an exceptional researcher in aerospace engineering, specializing in turbomachinery, aerodynamics, and computational fluid dynamics. With a Ph.D. from Beihang University and extensive research in boundary layer ingestion (BLI) fans, loss prediction, and machine learning applications, he has made significant contributions to the field. His work has been published in top-tier journals like Progress in Aerospace Sciences, Physics of Fluids, and ASME Journal of Turbomachinery. As a visiting scholar at Washington University in St. Louis, he collaborated with renowned expert Prof. Ramesh K. Agarwal. Dr. Lu has received multiple prestigious awards, including the Young Elite Scientist Sponsorship and Young Outstanding Talent Award, and serves as a reviewer for leading journals. His innovative research enhances computational efficiency and optimization in turbomachinery. With his strong academic background, impactful publications, and global recognition, Dr. Lu is a compelling candidate for Beihang University’s Best Researcher Award.

 

 

Usama Bin Liaqat | Computational Fluid Dynamics | Best Researcher Award

Mr. Usama Bin Liaqat | Computational Fluid Dynamics | Best Researcher Award

Mr. Usama Bin Liaqat, COMSATS University Islamabad Pakistan 

Usama Bin Liaqat is a dedicated Mathematics lecturer at the Higher Education Department in Punjab, Pakistan, with a Master’s in Mathematics from COMSATS University Islamabad, where he achieved a CGPA of 3.56. His thesis focused on heat and mass transfer of nanofluids over a rotating cone, utilizing advanced mathematical modeling. Proficient in tools like MATLAB and Wolfram Mathematica, Usama has published works in respected journals and completed certifications in Data Science and Cyber Security. Recognized for his excellence in teaching, he was awarded the Best Teacher of the Year in 2021. 📚💻✨

Publication Profile

Orcid

Education and Training

Usama Bin Liaqat has pursued advanced studies in mathematics, with a Master of Science from COMSATS University Islamabad, focusing on heat and mass transfer in nanofluid flow using innovative mathematical models. His thesis, which incorporates the Eyring-Powell fluid model, highlights his expertise in complex differential equations and numerical methods. His Bachelor’s degree from the International Islamic University Islamabad provides a strong foundation in mathematical concepts, making him well-versed in the field. His strong academic background and specialized focus in fluid dynamics are essential qualities for research innovation.

Work Experience

Currently a lecturer at the Higher Education Department in Punjab, Pakistan, Usama has experience teaching complex mathematical concepts, enhancing his communication skills and ability to transfer knowledge. His practical involvement in education, combined with his research experience, adds to his qualifications, demonstrating both his theoretical knowledge and real-world application. As an educator, he is positioned to contribute innovative teaching methodologies and research practices in mathematics.

Professional Certifications

Complementing his academic qualifications, Usama has earned certifications in Data Science and Cyber Security, expanding his knowledge base and enhancing his research capabilities in data analysis and security. These certifications reflect his multidisciplinary approach, critical for innovative research that intersects mathematics, technology, and data science.

Honors and Awards

Usama’s academic and teaching excellence is recognized through several awards, including the Prime Minister’s Laptop Scheme and the Best Teacher Award in 2021. His ability to balance teaching with research, while consistently achieving recognition, demonstrates his dedication to innovation and professional growth.

Conclusion

Usama Bin Liaqat is a strong candidate for the Research for Best Innovation Award, with a solid academic foundation, cutting-edge research in fluid dynamics, digital expertise, and multiple accolades in education. His diverse skill set, innovation in applied mathematics, and dedication to teaching make him a standout for recognition in research excellence.

 

Publication Top Note

A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect