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@JHU-IITD-SMaRT

JHU-IITD SMaRT

JHU-IITD SMaRT Webinar Series

JHU-IITD SMaRT stands for Johns Hopkins – IIT Delhi Joint Scientific Machine Learning Research Talks.

This is a collaborative webinar series jointly hosted by:

  • Dr. Somdatta Goswami (Johns Hopkins University)
  • Dr. Rajdip Nayek (Indian Institute of Technology Delhi)
  • Dr. Souvik Chakraborty (Indian Institute of Technology Delhi)

The goal of this series is to promote academic dialogue, showcase cutting-edge research in Scientific Machine Learning (SciML), and foster collaboration between international researchers, students, and experts working at the intersection of AI, data-driven modeling, and applied sciences.


πŸŽ₯ YouTube Channel

All webinar recordings and speaker highlights are available on our official YouTube channel:
πŸ“Ί JHU-IITD SMaRT on YouTube

Make sure to subscribe and turn on notifications to stay updated on future events!


πŸ“¬ Contact

For questions, speaker nominations, or collaborations, please reach out to:


πŸ“š Past Talks

πŸ”Ή Talk 1: Scalable Digital Twin-Enabled Virtual Sensing: Toward Foundation Model Futures for Energy Systems

Speaker: Dr. Syed Bahauddin Alam
Assistant Professor, University of Illinois Urbana-Champaign
πŸ“… Date: August 6, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 2: Differentiable Physics: A physics-constrained and data-driven paradigm for scientific discovery

Speaker: Dr. Romit Maulik
Assistant Professor, Pennsylvania State University
πŸ“… Date: August 13, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 3: TI-DeepONet: Learnable Time Integration for Stable Long-Term Extrapolation

Speaker: Dibyajyoti Nayak
PhD Scholar, Johns Hopkins University
πŸ“… Date: August 20, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 4: Machine learning-driven prediction and design for material systems: Towards generalised, interpretable and physics-constrained tools

Speaker: Dr. Sathiskumar Anusuya Ponnusami
Reader (Associate Professor), City St George’s, University of London, UK
πŸ“… Date: August 27, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 5: Neuroscience inspired deep learning algorithms for computational mechanics

Speaker: Shailesh Garg
PhD Scholar, Department of Applied Mechaics, Indian Institute of Technology (IIT) Delhi
πŸ“… Date: Sept 03, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 6: Multi-fidelity Machine Learning for Uncertainty Quantification

Speaker: Dr Subhayan De
Assistant Professor, Department of Mechanical Engineering at Northern Arizona University
πŸ“… Date: Sept 10, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 7: Diffusion Models for Scientific Machine Learning

Speaker: Dr Agnimitra Dasgupta
John von Neumann Fellow, Sandia National Laboratories
πŸ“… Date: Sept 17, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 8: Information Field Theory: A Bayesian Framework for Physics-Informed Inference

Speaker: Dr Ilias Bilionis
Professor, Mechanical Engineering, Purdue University
πŸ“… Date: Sept 24, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 9: From local to nonlocal models in continuum mechanics: the role of SciML

Speaker: Dr Nikolaos Bouklas
Associate Professor, Sibley School of Mechanical and Aerospace Engineering, Cornell University
Director for Research in CAD/CAE and ML, Pasteur Labs
πŸ“… Date: Oct 08, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 10: Biologically Inspired Algorithm and Hardware Co-Design for Efficient Machine Intelligence

Speaker: Dr Priya Panda
Associate Professor, Electrical & Computer Engineering Department, University of Southern California
πŸ“… Date: Oct 15, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 11: Working with large datasets in computational mechanics and mechanobiology: benchmarks, metrics, and validation studies

Speaker: Dr Emma Lejeune
Assistant Professor, Mechanical Engineering Department, Boston University
πŸ“… Date: Oct 22, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 12: Beyond Traditional Modeling: Advancing Large Eddy Simulation of Turbulent Combustion with Deep Learning

Speaker: Dr Shubhangi Bansude
Assistant Professor, Mechanical Engineering Department, Indian Institute of Technology (IIT) Gandhinagar
πŸ“… Date: Oct 29, 2025
πŸ“Ί Watch on YouTube

πŸ”Ή Talk 13: MAP-TD: Model-Agnostic-Predictive Temporal Difference for active control

Speaker: Tapas Tripura
PhD Scholar, Department of Applied Mechanics, Indian Institute of Technology (IIT) Delhi
πŸ“… Date: Nov 05, 2025
πŸ“Ί Watch on YouTube


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