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Public scholar: Ameer Nizami

How can computational predictions guide the optimization of the interface design of lithium-sulfur battery cathodes?

My inspiration

Ameer Nizami is a doctoral candidate in the Department of Chemical and Materials Engineering. He holds a bachelor’s degree in chemical engineering. His research integrates experimental and computational approaches to develop lithium-sulfur battery (LSB) cathodes. LSBs are a promising next-generation energy storage technology, offering significantly higher capacity, lower cost and improved environmental sustainability compared to conventional lithium-ion batteries. By leveraging computational chemistry and artificial intelligence, Ameer aims to synthesize novel materials for enhancing the cathode interface.

Beyond his academic pursuits, Ameer is an active member of the Chemical Institute of Canada, Montreal section. He regularly participates in public speaking events to promote sustainable energy and storage solutions. Recently, he became a founding member of an AI cluster for materials and molecules under Concordia’s Applied AI Institute. His doctoral research is generously funded by the NSERC PGS-D scholarship and Concordia (Doctoral Split Fellowship and Professor Hugh McQueen Award of Excellence).

Department

Chemical and Materials Engineering

Languages

French, English

Supervisors

Xia Li, Gilles H. Peslherbe

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