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DTSTART;TZID="Pacific Time (US & Canada)":20260127T120000
DTEND;TZID="Pacific Time (US & Canada)":20260127T130000
SUMMARY:CS Graduate Seminar
LOCATION:Electrical and Mechanical Engineering Building
DESCRIPTION:Title: High Performance Computing for Combinatorial Problems with Applications\n\n\n\nAbout the speaker\n\nDr. S M Ferdous is a data scientist in the Data Science and Machine Intelligence group at Pacific Northwest National Laboratory. He initially joined PNNL as a Linus Pauling Postdoctoral Fellow in June 2022. Ferdous’s research interest is in combinatorial scientific computing, where he develops efficient combinatorial algorithms for practical applications. He mainly focuses on computing under various constraints, including memory limitations, dynamic data, or approximation algorithms. The tools frequently employed by Ferdous are streaming, dynamic, parallel, and distributed algorithmic techniques. He is also interested in machine learning algorithms, especially how machine learning models can be applied or integrated with the traditional algorithmic framework. Ferdous is always keen to understand domain science problems and explore advanced computing techniques to solve the cutting-edge issues arising in domain science problems.
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