d2mms2026

About the Program

An international hybrid workshop and summer school exploring the intersection of physics-based simulation and data-driven methods, organized by the Department of Mechanical Engineering. This five-day event provides a structured platform to master the growing role of data-driven approaches in mechanical engineering and other engineering disciplines like mining and civil engineering. Through a blend of expert-led lectures, tutorial sessions, and hands-on components, participants will explore the mathematical, computational, and practical applications of modern modeling tools.

Core Topics Include: Computational fluid dynamics (CFD), Computational mechanics, Digital twins, High-fidelity simulations, Reduced-order modeling, Robotics, Scientific machine learning, Potential applications of AI in mining.

Important Dates

20th April, 2026
Early Bird Registration Starts
31st May, 2026
Registration Deadline
15th June, 2026
Abstract for Poster Deadline

Program Objectives

Master Fundamentals: Understand the core foundations of data-driven modeling in mechanical systems.
Hands-On Training: Gain practical exposure to scientific machine learning tools and computational workflows.
Integrate Systems: Learn to seamlessly combine data with simulation, reduced-order models, and physics-based methods.
Global Collaboration: Build a network with students, researchers, faculty, and industry experts for future national and international collaborations.

Who Should Attend?

This hybrid event welcomes ~100 national delegates (in-person) and international delegates (online), including: Students & Research Scholars, Post-Doctoral Fellows, Faculty Members, and Industry Professionals.

Ideal for those interested in the analysis, design, prediction, monitoring, and control of mechanical systems.

Key Takeaways & Benefits

Knowledge & Skills

Develop a working competence in reduced-order modeling, machine learning-assisted simulation, and system identification through targeted lectures and tutorials.

Research & Academics

Identify emerging research problems at the interface of mechanics and data science. Faculty can update course materials, while scholars can accelerate dissertation work.

Industry Application

Gain actionable insights into deploying data-driven and machine learning tools for real-world monitoring, system prediction, and engineering decision support.

About IIT(ISM) Dhanbad

Established in 1926, IIT(ISM) Dhanbad is located in India’s coking coal belt, 260 km from Kolkata and 150 km from Ranchi. Spanning 393 acres, it offers world class facilities across 17 departments, providing courses in Engineering, Sciences, Management and Humanities. IIT(ISM) Dhanbad has played a vital role in the growth and development of India’s mining, mineral and petroleum sectors. The institute holds a global rank of 20th and a national rank of 1st in Mineral and Mining Engineering (QS-2025) and an NIRF ranking of 15th in Engineering for the year 2024.

About the Department

The Department of Mechanical Engineering, established in 1999, has celebrated 25 years of excellence and is the largest department in the institute with 46 faculty members. It offers two undergraduate courses: Mechanical Engineering and Mining Machinery Engineering. Faculty and students collaborate on research in areas like microfluidics, robotics, renewable energy, R&AC, biofluid mechanics, aeroacoustics and more. Students engage in the Robotics Club, Smart Manufacturing, ASME chapter and other professional bodies.