Michele Buzzicotti | Physics and Astronomy | Best Paper Award

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Dr. Michele Buzzicotti | Physics and Astronomy | Best Paper Award

University of Rome Tor Vergata | Italy

Dr. Michele Buzzicotti is an accomplished physicist whose research bridges turbulence modeling, data-driven fluid dynamics, and machine learning applications in complex systems. He has authored 39 scientific documents, accumulating 703 citations across 513 records with an h-index of 17, reflecting his consistent scientific influence in computational physics and atmospheric modeling. Holding a Ph.D. in Physics from the University of Rome Tor Vergata (2017), his doctoral work focused on the effects of Fourier mode reduction in turbulence. Currently serving as a tenure-track faculty member at the Department of Physics, University of Rome Tor Vergata, Dr. Buzzicotti has held visiting research appointments at the Technical University of Eindhoven and the University of Rochester. His projects, such as the €1.3 million Italian Ministry of Research–funded “Data-driven and Equation-based Tools for Complex Turbulent Flows,” showcase his leadership in advancing AI-integrated turbulence studies. His publications in Nature Machine Intelligence, Physical Review Letters, and Europhysics Letters highlight pioneering contributions to stochastic modeling and generative AI for fluid dynamics. A reviewer for top-tier journals and a member of EUROMECH and APS, Dr. Buzzicotti continues to shape the future of theoretical and applied turbulence research through innovative interdisciplinary approaches.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Li, T., Biferale, L., Bonaccorso, F., Buzzicotti, M., & Centurioni, L. (2025). Stochastic reconstruction of gappy Lagrangian turbulent signals by conditional diffusion models. Communications Physics.

Freitas, A., Um, K., Desbrun, M., Buzzicotti, M., & Biferale, L. (2025). Solver-in-the-loop approach to closure of shell models of turbulence. Physical Review Fluids.

Martin, J., Lübke, J., Li, T., Buzzicotti, M., Grauer, R., & Biferale, L. (2025). Generation of cosmic-ray trajectories by a diffusion model trained on test particles in 3D magnetohydrodynamic turbulence. The Astrophysical Journal Supplement Series.

Li, T., Tommasi, S., Buzzicotti, M., Bonaccorso, F., & Biferale, L. (2024). Generative diffusion models for synthetic trajectories of heavy and light particles in turbulence. International Journal of Multiphase Flow.

Khatri, H., Griffies, S. M., Storer, B. A., Buzzicotti, M., Aluie, H., Sonnewald, M., Dussin, R., & Shao, A. (2024). A scale‐dependent analysis of the barotropic vorticity budget in a global ocean simulation. Journal of Advances in Modeling Earth Systems.

Li, T., Biferale, L., Bonaccorso, F., Scarpolini, M. A., & Buzzicotti, M. (2024). Synthetic Lagrangian turbulence by generative diffusion models. Nature Machine Intelligence.

Li, T., Lanotte, A. S., Buzzicotti, M., Bonaccorso, F., & Biferale, L. (2023). Multi-scale reconstruction of turbulent rotating flows with generative diffusion models. Atmosphere, 15(1), 60.

Storer, B. A., Buzzicotti, M., Khatri, H., Griffies, S. M., & Aluie, H. (2023). Global cascade of kinetic energy in the ocean and the atmospheric imprint. Science Advances.

Li, T., Buzzicotti, M., Biferale, L., Bonaccorso, F., Chen, S., & Wan, M. (2023). Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks. Journal of Fluid Mechanics.

Buzzicotti, M., Storer, B. A., Khatri, H., Griffies, S. M., & Aluie, H. (2023). Spatio‐temporal coarse‐graining decomposition of the global ocean geostrophic kinetic energy. Journal of Advances in Modeling Earth Systems.

Yuxuan Yang | Engineering | Best Researcher Award

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Assist. Prof. Dr. Yuxuan Yang | Engineering | Best Researcher Award

Beijing Institute of Technology | China

Author Profile

Scopus

🌱 Early Academic Pursuits

Dr. Yuxuan Yang's journey into the field of safety science and fire engineering began with his undergraduate studies at the China University of Mining and Technology, where he earned a B.Eng. in Safety Engineering in 2018. His passion for fire safety and risk assessment led him to pursue a Ph.D. in Safety Science and Engineering at the prestigious Tsinghua University, where he delved into advanced research on tunnel fire dynamics and smoke control mechanisms.

🔬 Professional Endeavors

Dr. Yang is currently a Postdoctoral Research Associate at the State Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology. His work focuses on experimental and numerical studies in fire safety, with a particular emphasis on metro tunnels, disaster prevention, and fluid mechanics. His expertise in these areas plays a crucial role in shaping fire safety measures for underground infrastructure.

📚 Contributions and Research Focus

Dr. Yang has made significant contributions to fire safety science, with a focus on tunnel fire dynamics, smoke temperature distribution, and risk mitigation strategies. His research employs both numerical simulations and full-scale experimental studies to analyze the behavior of fire and smoke under different tunnel conditions. His studies on the impact of tunnel slope on smoke exhaust performance have provided critical insights into improving safety measures in metro systems.

🏆 Accolades and Recognition

Dr. Yang’s research has been widely recognized in the field, with numerous publications in high-impact journals, including Sustainable Cities and Society, Journal of Thermal Science, and International Journal of Ventilation. His work has contributed to the advancement of fire control technologies and has been cited by researchers working on metro and tunnel fire safety worldwide.

🌍 Impact and Influence

Dr. Yang’s research has far-reaching implications for urban safety and infrastructure resilience. His studies on fire prevention in tunnels and metro systems provide essential guidelines for engineers, policymakers, and emergency response teams. By identifying potential hazards and proposing effective smoke control strategies, his work contributes to enhancing public safety in transportation networks.

🚀 Legacy and Future Contributions

With a strong foundation in fire safety research, Dr. Yang continues to push the boundaries of knowledge in disaster prevention and control. His future contributions are expected to influence fire safety policies and engineering solutions globally, ensuring safer environments in tunnels, metro systems, and other critical infrastructure. His dedication to the field cements his reputation as a leading researcher in fire safety and risk assessment.

 

Publications

📜 Numerical study on the effect of tunnel slope on smoke exhaust performance in metro tunnels
Author(s): Yang Y.*
Journal: Fire
Year: 2025

📜 Numerical study on smoke exhaust performance of sloped metro tunnel in reverse stack effect direction
Author(s): Yang Y.*
Journal: International Journal of Ventilation
Year: 2025

📜 Full-scale experimental study on fire under vehicle operations in a sloped tunnel
Author(s): Yang Y., Liu C., Long Z., Qiu P., Chen J., Zhong M.*
Journal: Journal of Thermal Science
Year: 2020

📜 Full-scale experimental study of a fire under a vehicle in a sloped tunnel
Author(s): Yang Y., Liu C., Qiu P., Long Z., Zhong M.*
Journal: Journal of Tsinghua University (Science and Technology)
Year: 2020

📜 Research progress on smoke control technology for highway tunnel fire
Author(s): Xia F., Yang Y.*
Journal: IOP Conference Series: Materials Science and Engineering
Year: 2020