Example Talk

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Jun 1, 2030 1:00 PM — 3:00 PM
Wowchemy HQ
450 Serra Mall, Stanford, CA 94305
Click on the Slides button above to view the built-in slides feature.

Slides can be added in a few ways:

  • Create slides using Wowchemy’s Slides feature and link using slides parameter in the front matter of the talk file
  • Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file
  • Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes.

Further event details, including page elements such as image galleries, can be added to the body of this page.

Fuzhan Rahmanian
Fuzhan Rahmanian
PhD Candidate at TUM

My research focuses on material acceleration and applied electrochemistry through sequential and machine learning algorithms. Different stages of my thesis compromise of hardware interfacing with python and visualization, using robots to perform AI accelerated experiments i.e. through active learning, benchmarking against linear models, and extracting the fundamental knowledge in reduced time over classical high-throughput experimentation for optimization of electrolyte formulations of post-Li ion battery systems.