3rd Indo-Japanese Collaborative Workshop on CFD-based AI and HPC, 2026 (Nov 28-29, 2026, India)

Indian Institute of Technology Madras

• Prof. Makoto Tsubokura - Professor, Kobe University; Team Principal, RIKEN Center for Computational Science
• Prof. A. Sameen - Professor, Department of Aerospace Engineering, Indian Institute of Technology Madras

• Prof. Nagabhushana Rao Vadlamani - Associate Professor, Department of Aerospace Engineering, Indian Institute of Technology Madras
• Prof. Rahul Bale - Associate Professor, Kobe University; Research Scientist, RIKEN Center for Computational Science
• Prof. Rajesh Ranjan - Associate Professor, Department of Aerospace Engineering, Indian Institute of Technology Kanpur

The following invited speakers are confirmed at the application stage.

• Prof. Makoto Tsubokura - Professor, Kobe University; Team Principal, RIKEN Center for Computational Science
• Prof. Rahul Bale - Associate Professor, Kobe University; Research Scientist, RIKEN Center for Computational Science
• Dr. Junya Onishi - Research Scientist, RIKEN Center for Computational Science
• Dr. Hiroshi Otomo - Research Scientist, RIKEN Center for Computational Science
• Dr. Alicia Maria Murga Aquino - Project Assistant Professor, Kobe University
• Prashant Kumar, LOTUS Scholar, RIKEN Center for Computational Science, Doctoral Student, Indian Institute of Technology Kanpur

• Prof. Nagabhushana Rao Vadlamani – Associate Professor, Department of Aerospace Engineering, Indian Institute of Technology Madras
• Prof. Rajesh Ranjan - Associate Professor, Department of Aerospace Engineering, Indian Institute of Technology Kanpur
• Prof. Aditya Konduri - Assistant Professor, Department of Computational and Data Sciences, Indian Institute of Science
• Prof. Pradeep Moise, Assistant Professor, Department of Aerospace Engineering, Indian Institute of Technology Kanpur
• Prof. Niranjan Ghaisas, Associate Professor, Department of Mechanical and Aerospace Engineering, Indian Institute of Technology Hyderabad
• Prof. Dhiraj Patil, Associate Professor, Department of Mechanical, Materials and Aerospace Engineering, Indian Institute of Technology Dharwad
• Prof. Aniketh Kalur, Assistant Professor, Aerospace Engineering, Indian Institute of Technology Madras

• ※Additional invited speakers may be added as planning progresses.

The proposed registration process follows the two-step format used for the previous workshop.

Complete the online registration form. (Google Forms)

After completion of the registration and approval from the organizing committee, payment link will be shared by email.

The following registration fees apply:

• Participant category: Registration fee
• Participants from India: INR 15,000
• Participants from India, Students: INR 7,500
• Other participants: INR 25,000

• AI-Augmented Computational Fluid Dynamics: machine learning for turbulence modeling, data-driven flow prediction, reduced-order modeling, and surrogate models for high-fidelity simulation
• Physics-Informed and Hybrid Modeling Approaches: physics-informed neural networks, neural ordinary differential equations, hybrid data-physics methods, and scientific machine learning
• High-Performance Computing in CFD and AI: parallel and scalable CFD solvers, accelerator computing, and HPC-AI integration for large-scale simulation and analysis
• Uncertainty Quantification and Optimization: AI-assisted uncertainty modeling, sensitivity analysis, reliability, and surrogate-based design and optimization
• Experimental-Computational Synergy: integration of simulations and experimental data, flow-data enhancement, validation, and digital-twin applications
• Collaborative Research and Future Directions: joint research opportunities, open frameworks, data sharing, and emerging challenges in AI-driven CFD

• ※For confirmation: The detailed program, session timings, talk titles, and room information will be added after confirmation.

• ※For confirmation: The detailed program, session timings, talk titles, and room information will be added after confirmation.

The following items can be completed as event planning progresses:

• Payment instructions and payment portal
• Registration deadline and registration form link
• Detailed program, session timings, talk titles, and room information
• Any additional invited speakers
• Whether high-resolution images will accompany the webpage application