Enhancing Hydrogen Generation Efficiency through Machine Learning

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The Department of Mechanical Engineering successfully hosted an Invited talk on “Hydrogen Gas as the Future Fuel for Sustainable Power Generation and Application of Machine Learning Techniques for Modeling of Hydrogen Generation by Chemical Reactions” on February 24, 2025. The session witnessed Prof. P. S. Robi, a distinguished Professor of the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) Guwahati and Former Deputy Director of IIT Guwahati, Assam, India, as the esteemed speaker.

Prof. P S Robi highlighted the importance of hydrogen as a sustainable fuel, emphasising its potential to replace fossil fuels, reduce carbon emissions, integrate with renewable energy sources, and the role of research and industry collaboration in advancing its adoption to make hydrogen a viable energy source for a sustainable future. He also addressed key challenges in hydrogen adoption, particularly the need to overcome high production costs and storage limitations.

Furthermore, Prof. Robi emphasised the role of Machine Learning in enhancing hydrogen generation efficiency through data-driven modelling and optimisation. Potential research and collaboration prospects, advocating for stronger partnerships between academia, industry, and policymakers to accelerate the advancement and implementation of hydrogen technology, were extensively discussed. Additionally, Prof. P. S. Robi highlighted the myriad of research opportunities available for faculty, research scholars, and students interested in hydrogen generation.

The talk concluded with an interactive Q&A session, during which the participants actively engaged with the speaker. The session was attended by Dr Lakshmi Sirisha Maganti, Head of the Department of Mechanical Engineering, Dr Chandan Kumar, Assistant Professor and convenor of the event, along with the faculty, scholars and students of the university.

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