The Department of Aeronautical Engineering, Paavai Engineering College, organized an online guest lecture on the topic “Artificial Intelligence Driven Computational Fluid Dynamics for Aerospace” on 14th October 2025 from 10.00 a.m. to 11.00 a.m. The objective of the session was to provide students with an in-depth understanding of how Artificial Intelligence (AI) can be effectively integrated with Computational Fluid Dynamics (CFD) to enhance aerodynamic analysis and design efficiency in the aerospace domain.
The guest lecture was delivered by Mr. R. Saravanan, Assistant Professor, Department of Aeronautical Engineering, Hindusthan College of Engineering and Technology, Pollachi, Coimbatore, who is an expert in AI applications for aerospace systems. The session commenced with a warm welcome and the introduction of the guest speaker by Mr. P. Naveenkumar, a third-year Aeronautical Engineering student.
During the lecture, the resource person elaborated on the role of AI and Machine Learning in CFD, emphasizing their potential to accelerate simulation processes, improve prediction accuracy, and optimize aerodynamic design parameters. He also discussed various case studies and emerging research trends where AI techniques are revolutionizing traditional CFD workflows in aerospace applications.
The lecture was highly engaging, with students actively participating and clarifying their queries related to AI-based simulation tools, data-driven modeling, and computational challenges in aerodynamic research. The session offered valuable insights into the future scope of AI integration in aerospace engineering, inspiring participants to explore advanced computational methods in their academic and research pursuits.
The event concluded with a vote of thanks delivered by Ms. V. Yasicaa, a second-year Aeronautical Engineering student, who expressed heartfelt gratitude to the guest speaker for his informative session and to all participants for their enthusiastic involvement.
Overall, the guest lecture was well-received and significantly enriched the technical knowledge of students, motivating them to adopt AI-based approaches in CFD and aerospace research.
