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Professor Anshul Gandhi Awarded Rising Star Research Award from ACM SIGMETRICS

Gandhi
Gandhi
Computer Science Professor Anshul Gandhi

Computer Science Professor Anshul Gandhi has been selected by the Association for Computing Machinery’s (ACM) SIGMETRICS as the recipient of the 2019 Rising Star Research Award. The award recognizes Gandhi’s fundamental contributions to the analysis, modeling, design, and implementation of energy-efficient systems in data centers and cloud computing.

Being selected as a Rising Star by ACM SIGMETRICS — a special interest group for the computer systems performance evaluation community — is an incredible distinction. SIGMETRICS rising stars have been chosen from world-renowned institutions such as Columbia University, Caltech, Tsinghua, University of Illinois-Chicago, Microsoft Research, and MIT. Specifically, the Rising Star Research Award “recognizes a junior researcher who demonstrates outstanding potential for research in computer/communication performance evaluation.”

Computer Science Department Chair Samir Das announced the recognition to colleagues and friends by stating, “I want to share the fantastic news that Anshul Gandhi will be awarded the 2019 ACM SIGMETRICS Rising Star Award at the 2019 ACM SIGMETRICS/IFIP Performance Conference. This is exciting recognition for Anshul and for the department.” During the event on June 26, Gandhi will also deliver the award lecture.

Professor Gandhi, who is also an NSF CAREER awardee, is broadly interested in systems and performance modeling, or applying theory to systems.

Learn more about his research on a recent project with the National Science Foundation.

About the Researcher

Anshul Gandhi earned his PhD in computer science at Carnegie Mellon University. His 2013 thesis, Dynamic Server Provisioning for Data Center Power Management, won the 2013 SPEC Distinguished Dissertation Award. After graduating, he spent a year as a post-doctoral researcher at the IBM T. J. Watson Research Center. Gandhi’s research aims to leverage mathematical tools to address challenges in computer systems. Within Stony Brook’s College of Engineering and Applied Sciences and Department of Computer Science, Gandhi leads the PACE Lab and currently advises six PhD students and 14 MS students.

Daniel Morgan

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