Hang Xie | Computational Modeling | Best Researcher Award

Assist. Prof. Dr. Hang Xie | Computational Modeling | Best Researcher Award

Huanghuai University, China

πŸ‘¨β€πŸŽ“Profiles

πŸŽ“ Early Academic Pursuits

Dr. Hang Xie’s academic journey began with a strong foundation in ocean engineering, focusing on ship slamming loads and fluid physics. His early research delved into computational fluid dynamics (CFD) algorithms, allowing him to explore the complexities of fluid-structure interactions. His passion for maritime engineering led him to investigate asymmetric water entry phenomena, contributing to the understanding of slamming loads on ships. Through rigorous experimentation and numerical analysis, he developed a keen interest in hydrodynamic impact analysis, which later became the cornerstone of his research career.

πŸ’Ό Professional Endeavors

Currently serving as an Assistant Professor at Huanghuai University, Dr. Xie is a dedicated researcher in marine hydrodynamics and impact loads. Over the years, he has secured multiple research grants, including funding from the National Natural Science Foundation of China, the Science and Technology Innovation Youth Project of Zhumadian City, and the Project of Science and Technology of Henan Province of China. His expertise in fluid physics and ship slamming has positioned him as a key figure in the field of computational marine engineering. With an emphasis on solving practical engineering problems, his research has provided valuable insights into the behavior of fluid forces acting on ships and offshore structures.

πŸ”¬ Contributions and Research Focus

Dr. Xie has made significant contributions to the development of asymmetric slamming theory by combining experimental studies and numerical simulations. His research has led to the discovery of flow separation mechanisms, jet flow formation, and bubble evolution in asymmetric water entry. By incorporating the Volume of Fluid (VOF) method and introducing artificial convection terms, he has established a high-fidelity solver for simulating two-dimensional multiphase flows, marking a significant theoretical breakthrough. These advancements have enhanced the accuracy of maritime impact load simulations and influenced both theoretical research and practical ship design applications. His work has contributed to improving computational methods that predict the structural response of vessels subjected to extreme slamming events.

🌍 Impact and Influence

Dr. Xie’s research has gained widespread recognition, accumulating over 300 citations in leading journals such as Physics of Fluids (POF), International Journal of Marine Science (IJMS), China Shipbuilding (CS), Marine Structures (MS), and Advances in Ocean Physics (AOP). His findings have been instrumental in improving ship safety, reducing structural damage from slamming loads, and enhancing computational models for fluid-structure interactions. His work has been widely referenced by researchers and engineers working on marine structure optimization, further establishing his reputation as a prominent scholar in the field.

πŸ“– Academic Citations and Publications

With 24 published research papers in prestigious SCI and Scopus-indexed journals, Dr. Xie has established himself as a leading scholar in marine engineering and computational fluid dynamics. His research findings have been frequently referenced by experts in ocean engineering, naval architecture, and hydrodynamics. His studies have contributed to a deeper understanding of how ships and offshore structures interact with turbulent and high-impact marine environments.

πŸ› οΈ Technical Skills

Dr. Xie possesses expertise in CFD simulations, numerical modeling, and high-fidelity solvers for multiphase flows. His technical skills include computational fluid dynamics (CFD), the Volume of Fluid (VOF) method for multiphase flow modeling, hydrodynamic impact analysis, ship slamming load simulations, and experimental and numerical fluid mechanics. His deep understanding of numerical algorithms and experimental methodologies allows him to develop advanced computational tools that improve the accuracy of ship hydrodynamic analyses.

πŸŽ“ Teaching Experience

As an Assistant Professor, Dr. Xie actively engages in teaching marine hydrodynamics, computational modeling, and ship structure analysis. His mentorship has inspired students to explore fluid-structure interactions and advanced computational methods, fostering the next generation of ocean engineers and researchers. He has played a crucial role in guiding students through complex hydrodynamic simulations and experimental studies, ensuring they develop the technical skills required for cutting-edge marine research.

πŸ† Legacy and Future Contributions

Dr. Xie’s pioneering work in asymmetric slamming phenomena and high-fidelity flow solvers continues to shape the field of marine engineering. With four patents under process and ongoing collaborations with Huilong Ren, Jialong Jiao, and Hui Li, his research is expected to advance maritime safety, enhance numerical modeling accuracy, and influence future ship designs. His dedication to ship slamming physics and fluid-structure coupling ensures that his legacy will endure as a foundation for next-generation hydrodynamic studies. Moving forward, he aims to expand his research into innovative computational techniques that will further refine our understanding of complex maritime environments.

πŸ“–Notable Publications

Experimental and CFD analysis: Effects of bottom appendages on the slamming characteristics of rigid hull structures during water entry

Authors: Y. Ping, Yanna; J. Wang, Jingzhi; H. Xie, Hang; F. Liu, Fang; X. Liu, Xinyu

Journal: Ocean Engineering

Year: 2025

Numerical investigation on the slamming loads of a truncated trimaran hull entering regular waves

Authors: P. Yu, Pengyao; S. Qu, Song; Q. Wang, Qiang; H. Xie, Hang

Journal: Applied Ocean Research

Year: 2024

Characterization on the impact load of a local corner region of a liquid tank entering water

Authors: H. Xie, Hang; J. Li, Jiawang; S. Guijie, Shi; Deyu Wang; H. Tang, Haoyun

Journal: Ocean Engineering

Year: 2024

 

Sung Woo Moon | Computational Modeling | Best Researcher Award

Assoc. Prof. Dr. Sung Woo Moon | Computational Modeling | Best Researcher Award

Nazarbayev University, Kazakhstan

πŸ‘¨β€πŸŽ“Profiles

🌱 Early Academic Pursuits

He began his academic journey with a passion for engineering and sustainable development. He pursued a Ph.D. in Civil Engineering at the University of Illinois at Urbana-Champaign, focusing on seismic hazard analysis and sustainable soil stabilization. His academic foundation, paired with rigorous training in geotechnical engineering, laid the groundwork for a distinguished career in research and teaching.

πŸ› οΈ Professional Endeavors

As an Associate Professor at Nazarbayev University, Kazakhstan, He has over two decades of professional experience in seismic hazard analysis, geophysical site investigations, and sustainable infrastructure development. He has actively engaged in cross-disciplinary collaborations with prestigious institutions, including the University of Illinois, Hanyang University, and Purdue University, to address complex environmental and engineering challenges.

πŸ”¬ Contributions and Research Focus

His research centers on innovative and sustainable solutions in geotechnical engineering. He has made significant contributions to the development of eco-friendly materials, such as utilizing industrial byproducts like Phosphogypsum, GGBFS, and BOF slag for soil stabilization. His work on carbon capture and storage (CCS) using serpentinite rocks is a testament to his commitment to combating industrial COβ‚‚ emissions. These efforts align with global climate goals and exemplify his dedication to environmental sustainability.

🌍 Impact and Influence

His pioneering research has garnered significant recognition, with over 50 publications in SCI and Scopus-indexed journals. His contributions have advanced the fields of geotechnical engineering and environmental sustainability, providing scalable solutions for resilient infrastructure and climate change mitigation. His projects, funded by competitive grants such as the NU Faculty-Development Competitive Research Grants, underscore his influence in academia and industry.

πŸ“š Academic Citations and Publications

His extensive body of work includes over 50 published papers and a book (ISBN: 978-3-031-43454-9). His research is widely cited by peers, reflecting his impact in the academic community. He has also served on editorial boards, contributing to the advancement of scientific discourse in his field.

🧰 Technical Skills

He possesses expertise in geophysical site investigations, seismic hazard analysis, sustainable soil stabilization, and advanced CCS technologies. His ability to integrate traditional engineering principles with modern technologies demonstrates his technical acumen and innovative approach to problem-solving.

πŸŽ“ Teaching Experience

As an educator, He is committed to inspiring the next generation of engineers. At Nazarbayev University, he has designed and taught courses in civil and environmental engineering, emphasizing hands-on learning and practical applications. His mentorship has guided students toward success in research and industry.

🌟 Legacy and Future Contributions

He envisions a future where engineering solutions are both innovative and sustainable. He aims to continue his work on developing eco-friendly construction materials and advancing CCS technologies, contributing to global sustainability efforts. His legacy lies in his ability to blend interdisciplinary research with practical applications, leaving a lasting impact on the fields of engineering and environmental science.

πŸ“–Notable Publications

 

Sicong Ma | Theoretical and Computational Chemistry | Best Researcher Award

Assoc. Prof. Dr. Sicong Ma | Theoretical and Computational Chemistry | Best Researcher Award

Shanghai Institute of Organic Chemistry, China

πŸ‘¨β€πŸŽ“Profiles

πŸŽ“ Early Academic Pursuits

Dr. Sicong Ma, born in March 1992, began his academic journey with a strong foundation in applied chemistry at the China University of Petroleum (Beijing), where he completed his Bachelor of Science in 2013. He continued at the same institution for a Master's degree in Chemistry, working under the guidance of Professor Zhen Zhao until 2016. His academic path led him to Fudan University, where he earned his Ph.D. in Physical Chemistry in 2019 under Professor Zhi-Pan Liu. Here, he developed his expertise in theoretical and computational chemistry, laying the groundwork for his future contributions to catalysis and machine learning.

🏒 Professional Endeavors

After completing his Ph.D., He joined Fudan University as a postdoctoral researcher, continuing his work with Professor Zhi-Pan Liu until 2021. In August 2021, he joined the Shanghai Institute of Organic Chemistry as an Assistant Researcher. Recently promoted to Associate Professor, He has led several projects funded by prestigious institutions, including the National Natural Science Excellent Youth Fund, Shanghai Municipal Science and Technology Commission, and the China Postdoctoral Fund.

πŸ” Contributions and Research Focus

His research interests span a unique blend of machine learning and catalysis. His expertise extends across both homogeneous and heterogeneous catalysis, with a particular focus on: Machine Learning and Heterogeneous Catalysis: He has conducted research on syngas-to-olefins conversions on OX-ZEO catalysts, propane hydrogenation, and similar transformations, Machine Learning and Homogeneous Catalysis: His work includes studies on the carbonylation of olefins and the development of a metal-phosphine ligand catalyst database, Zeolite Chemistry: HeΒ is also active in studying the mechanisms of zeolite formation and their applications in catalysis, contributing significantly to zeolite-related database construction.

πŸ“ˆ Impact and Influence

He has made substantial contributions to the field, publishing more than 20 papers in renowned journals such as Nature Catalysis, Nature Communications, and ACS Catalysis. Notably, he has served as first or corresponding author on 15 of these publications, solidifying his role as a leader in his field. His work has garnered attention and citations, reflecting his influence within theoretical and computational chemistry.

πŸ“š Academic Achievements and Honors

Recognized for his academic excellence, He has received numerous awards and honors. He was honored with the Excellent Doctoral Dissertation Award from Fudan University in 2019, recognized as an Academic Star of Fudan University the same year, and awarded a Shanghai Super Postdoctoral Fellowship. Recently, he was inducted as a member of the Youth Innovation Promotion Association by the Chinese Academy of Sciences in 2023.

πŸ› οΈ Technical Skills

His technical expertise includes advanced machine learning algorithms for catalysis, computational modeling in chemistry, and extensive knowledge of catalysis mechanisms in both homogeneous and heterogeneous systems. His computational skills and programming knowledge enable him to create and manage large databases, crucial for his projects on zeolite and catalyst-related data.

πŸ“– Teaching and Mentoring Experience

While focused primarily on research, He has also contributed to the academic community by mentoring postdocs and junior researchers in his lab. His guidance fosters a collaborative environment, ensuring that emerging researchers develop the skills necessary to advance in computational chemistry and catalysis.

🌐 Legacy and Future Contributions

His ongoing work promises to deepen the integration of machine learning in catalysis, with potential implications for sustainable energy solutions and efficient industrial chemical processes. As a young innovator and leader in his field, he is set to make lasting contributions, furthering both academic knowledge and practical applications in computational chemistry.

πŸ“–Notable Publications