Indo-Japanese Collaborative Workshop
on

CFD based AI and HPC

Organized by:
Society of Aerospace Engineers (SAE), Department of Aerospace Engineering
Indian Institute of Technology Kanpur

21-22 December 2025



Register

Announcement

Owing to multiple requests, we will live-stream selected talks. Please find the links and QR codes for the respective days below.

Day-1 (Dec-21) Live link:

https://www.youtube.com/live/77IS14LLWJ0

Overview

The Indo-Japanese Collaborative Workshop on CFD-based AI and HPC aims to bring together leading experts, researchers, and practitioners from India and Japan to discuss recent advancements at the intersection of Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), and High-Performance Computing (HPC). The workshop will feature invited talks and discussions on topics such as physics-informed machine learning, data-driven turbulence modeling, high-fidelity simulations, and scalable computing frameworks.

This event provides a unique platform to foster collaboration, share innovative methodologies, and explore joint research opportunities in emerging areas of computational and data-driven fluid mechanics.

Themes

AI-Augmented Computational Fluid Dynamics (CFD)

  • Machine learning and deep learning in turbulence modeling
  • Data-driven flow prediction and reduced-order modeling
  • Surrogate modeling for high-fidelity CFD simulations

Physics-Informed and Hybrid Modeling Approaches

  • Physics-Informed Neural Networks (PINNs) and Neural ODEs
  • Hybrid data–physics approaches for flow reconstruction
  • Scientific machine learning for multi-scale flow phenomena

High-Performance Computing (HPC) in CFD and AI

  • Parallelization and scalability in CFD solvers
  • GPU acceleration for large-scale simulations
  • HPC–AI integration for real-time and high-fidelity flow analysis

Uncertainty Quantification and Optimization

  • Uncertainty modeling using AI-assisted CFD
  • Multi-objective optimization and design using surrogate models
  • Sensitivity analysis and reliability engineering

Experimental–Computational Synergy

  • AI-based super-resolution of experimental flow data
  • CFD–experiment integration for validation and data enrichment
  • Digital twins for aerodynamic testing and design

Collaborative Research and Future Directions

  • Collaboration prospectives in CFD, AI, and HPC
  • Open-source frameworks and data sharing initiatives
  • Emerging trends and grand challenges in AI-driven CFD

Organizers

Dr. Rajesh Ranjan is a faculty member in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur. He leads the Aeroscience Computations and Analysis Lab (ACAL), which focuses on developing high-fidelity computational methods and data-driven approaches for aerospace and mechanical engineering applications. He obtained his Master's degree from the Indian Institute of Science, Bengaluru, and his Ph.D. from the Jawaharlal Nehru Centre for Advanced Scientific Research, India, under the supervision of the late Professor Roddam Narasimha. Prior to joining IIT Kanpur, he was a postdoctoral scholar at The Ohio State University, USA. Dr. Ranjan is also the founder and director of Vayusoft Labs Pvt. Ltd., a startup focused on AI-CFD–based efficient simulations for complex flows. His research interests span turbomachinery, high-speed flows, transition and turbulence, and scientific machine learning

Dr. Pradeep Moise is an Assistant Professor in the Department of Aerospace Engineering at IIT Kanpur. He obtained his Ph.D. from the Indian Institute of Science (IISc) Bengaluru and his B.Tech. from NIT Tiruchirappalli. His research focuses on computational fluid dynamics (CFD), including direct and large-eddy simulations (DNS and LES), linear stability analysis, modal decomposition, and flow control. At IIT Kanpur, he leads the SoFun Lab, which works on understanding and modeling complex flow phenomena such as vortex breakdown, transonic buffet, and turbulent flow dynamics using high-performance computing and data-driven approaches.

Speakers

Speakers from Japan

Prof. Makoto Tsubokura

Team Leader
Complex Phenomena Unified Simulation Research Team
RIKEN

Prof. Rahul Bale

Research Scientist
RIKEN-CCS
Associate Professor
Kobe University

Dr. Junya Onishi

Research Scientist
RIKEN-CCS

Dr. Sangwon Kim

Postdoctoral Researcher
RIKEN-CCS

Prof. Ayato Takii

Assistant Professor
Kobe University

Speakers from India

Prof. Konduri Aditya

IISc Bengaluru

Prof. Rishita Das

IISc Bengaluru

Prof. Niranjan Ghaisas

IIT Hyderabad

Prof. Rajaram Lakkaraju

IIT Kharagpur

Prof. Pradeep Moise

IIT Kanpur

Prof. Navrose

IIT Kanpur

Prof. Rajesh Ranjan

IIT Kanpur

Prof. A. Sameen

IIT Madras

Registration Procedure
Registration Deadline: 15 Dec 2025



The registration process for the event will be completed in two simple steps:

Step 1: Pay the applicable registration fee through SBI Collect

Category Fees
IITK Faculty ₹10,000
Non-IITK Faculty (India) ₹11,800 Including GST
IITK Students
(first 10 free)
₹3,000
Non IITK Students ₹3,540 Including GST
Others ₹20,000 Including GST

Step 2: Fill out the Google Form with your details after completing the payment.

Course Details

Payment Instructions: https://www.iitk.ac.in/oa/sbi-collect/
Payment Link: https://www.onlinesbi.sbi/sbicollect/icollecthome.htm
Course Code: 74
Course Title: Indo Japanese Collaborative Workshop on CFD based AI and HPC
Course Duration: 21.12.2025 to 22.12.2025

Schedule


Day 1 (21-12-2025), Outreach Auditorium
09:30 - 10:00 Registration
10:00 - 10:30 Inaugural Session
10:30 - 11:00 Research activities at RIKEN and opportunities for collaborations
Prof. Makoto Tsubokura (RIKEN/Kobe Uni.)
11:00 - 11:15 Tea Break
Session: HPC in CFD and Data-driven Fluid Mechanics
11:15 - 11:45 Super-acceleration of codes using modern GPUs
Prof. Mahendra Verma (IITK)
11:45 - 12:15 From droplets to infection: Multiscale modeling of airborne disease transmission
Prof. Rahul Bale (RIKEN/Kobe Uni.)
12:15 - 12:45 High-Performance Computing for Scale-Resolving Aerospace Simulations: Key Lessons Learned
Prof. N. Rao Vadlamani (IITM)
12:45 - 13:15 Parallel computing tools for analysing unsteady flows
Prof. Pradeep Moise (IITK)
13:15 - 14:30 Lunch Break
14:30 - 15:30 Poster Session by students
Session: AI/ML in CFD
15:30 - 16:00 Exploring the Applicability of Tensor Networks to Large-Scale Computational Fluid Dynamics
Prof. Ayato Takii (Kobe University)
16:00 - 16:30 Machine learning for combustion applications
Prof. Konduri Aditya (IISc)
16:30 - 16:45 Tea Break
16:45 - 17:15 Autoencoders for dynamical systems
Prof. Rajaram Lakkaraju (IITKGP)
17:15 - 18:00 Flow reconstruction using shallow decoders
Prof. Navrose (IITK)
19:30 - 21:00 Gala Dinner

Day 2 (22-12-2025), MFCEM Seminar Hall
Session: AI/ML in CFD
09:30 - 10:00 Physics-informed neural networks for complex flows
Dr. Junya Onishi (RIKEN)
10:00 - 10:30 ML-enhanced stochastic modelling of intermittent dynamics & ML-enabled inflow generation for turbulent flows
Prof. Rishita Das (IISc)
10:30 - 11:00 Uncertainty quantification, sensitivity analysis and PINN-based coefficient estimation in wind turbine wake modeling
Prof. Niranjan Ghaisas (IITH)
11:00 - 11:15 Tea Break
11:15 - 11:45 Data-free PINNs for Shock-Dominated Flows and SWBLIs
Prof. Rajesh Ranjan (IITK)
11:45 - 12:15 Time-Stepping Hamiltonian Simulation for Allen-Cahn Phase-Field Model via a Quantum-Classical Hybrid Approach Dr. Sangwon Kim (RIKEN)
12:15 - 13:30 Visit to Flight lab and National Wind Tunnel Facility
13:30 - 14:30 Lunch Break
14:30 - 15:30 Theme: Synergizing AI/ML and CFD: Challenging Problems and Collaborative Pathways
Panel Discussion (Moderator: Prof. Pradeep Moise)
15:30 - 15:45 Tea Break
Session: HPC and High-fidelity Simulations
15:45 - 16:15 Scale space dynamics in supersonic turbulent boundary layer
Prof. A Sameen (IITM)
16:15 - 16:45 Primary Atomization and DNS of two phase flows
Prof. Anubhav Sinha (IIT BHU)
16:45 - 17:15 High performance end-to-end weather simulation, prediction and visualization
Prof. Preeti Malakar (IITK)
17:15 - 17:30 Vote of Thanks