ESnet’s DOE early-career awardee works to overcome roadblocks in computational network

Mariam Kiran, ESnet, speaks to Kennedy High School students and their teacher Dr. LaRue Moore during a networking camp at Lawrence Berkeley National Laboratory.

Like other complex systems, computer networks can break down and suffer bottlenecks. Keeping such systems running requires algorithms that can identify problems and find solutions on the fly so information moves quickly and on time.

Mariam Kiran – a network engineer for the Energy Sciences Network (ESnet), a DOE Office of Science user facility managed by Lawrence Berkeley National Laboratory – is using an early-career research award from DOE’s Office of Science to develop methods combining machine-learning algorithms with parallel computing to optimize such networks.

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