Naren Ramakrishnan
Director, Amazon-VT Initiative In Efficient And Robust Machine Learning
Blacksburg, Virginia, United States
Summary
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Senior🎓
Top SchoolNaren Ramakrishnan is a University Distinguished Professor of Computer Science and the Thomas L. Phillips Professor of Engineering at Virginia Tech who directs the Sanghani Center for AI & Data Analytics and leads AI & Machine Learning research for the Institute for Advanced Computing. His work spans data science, machine learning, forecasting, urban analytics, recommender systems, and computational epidemiology, with a strong record of translating research into deployed systems recognized by awards including an ACM SIGKDD Test of Time. He has mentored dozens of PhD and MS students who now populate academia, startups, and industry, and his teams have earned more than ten best paper awards across top conferences. Naren’s research portfolio is unusually broad in funding and application, supported by federal agencies and major corporations and featured in outlets from The Economist to Popular Science. He currently co-leads an Amazon–Virginia Tech initiative focused on efficient and robust ML, underscoring his blend of academic leadership and industry partnership.
11 years of coding experience
13 years of employment as a software developer
Ph.D. Computer Sciences, Ph.D. Computer Sciences at Purdue University
Github Skills (6)
datasource3
victoriametrics2
monitoring1
grafana1
prometheus1
prometheus-alertmanager1
Github contributions (5)
rk126/pyclass
Oct 2015 - Oct 2015
Contributions:20 pushes, 1 branch in 1 day
rk126/MEng_Report_RK
Jan 2015 - Jan 2015
Contributions:3 pushes, 1 branch in 8 days
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