Machine Learning for Chemical Sensing

By Bruno Ribeiro

Computer Science, Purdue University, West Lafayette, IN

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Bio

Bruno Ribeiro The overarching theme of Prof. Ribeiro work is the principled forecasting, measurement, analysis, and mining of large-scale complex social and communication systems. Networks are everywhere as they naturally frame some of the highest impact computing applications: from online social networking, to Web search, to product recommendations, to mobile ad-hoc networking. My research blends practical issues with theory, focused on how new theoretical results can advance novel applications.

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Cite this work

Researchers should cite this work as follows:

  • Bruno Ribeiro (2020), "Machine Learning for Chemical Sensing," https://nanohub.org/resources/33130.

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Location

Burton Morgan, Room 121, Purdue University, West Lafayette, IN

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